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<url><loc>https://scifaro.com/en/abs/lasso-type-classifiers-with-a-reject-option-0705.2363</loc><lastmod>2009-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lasso-type-classifiers-with-a-reject-option-0705.2363"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/lasso-type-classifiers-with-a-reject-option-0705.2363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lasso-type-classifiers-with-a-reject-option-0705.2363"/></url>
<url><loc>https://scifaro.com/zh/abs/lasso-type-classifiers-with-a-reject-option-0705.2363</loc><lastmod>2009-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lasso-type-classifiers-with-a-reject-option-0705.2363"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/lasso-type-classifiers-with-a-reject-option-0705.2363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lasso-type-classifiers-with-a-reject-option-0705.2363"/></url>
<url><loc>https://scifaro.com/en/abs/compressed-regression-0706.0534</loc><lastmod>2012-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressed-regression-0706.0534"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/compressed-regression-0706.0534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressed-regression-0706.0534"/></url>
<url><loc>https://scifaro.com/zh/abs/compressed-regression-0706.0534</loc><lastmod>2012-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressed-regression-0706.0534"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/compressed-regression-0706.0534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressed-regression-0706.0534"/></url>
<url><loc>https://scifaro.com/en/abs/separating-populations-with-wide-data-a-spectral-analysis-0706.3434</loc><lastmod>2017-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/separating-populations-with-wide-data-a-spectral-analysis-0706.3434"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/separating-populations-with-wide-data-a-spectral-analysis-0706.3434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/separating-populations-with-wide-data-a-spectral-analysis-0706.3434"/></url>
<url><loc>https://scifaro.com/zh/abs/separating-populations-with-wide-data-a-spectral-analysis-0706.3434</loc><lastmod>2017-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/separating-populations-with-wide-data-a-spectral-analysis-0706.3434"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/separating-populations-with-wide-data-a-spectral-analysis-0706.3434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/separating-populations-with-wide-data-a-spectral-analysis-0706.3434"/></url>
<url><loc>https://scifaro.com/en/abs/metric-embedding-for-nearest-neighbor-classification-0706.3499</loc><lastmod>2007-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metric-embedding-for-nearest-neighbor-classification-0706.3499"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/metric-embedding-for-nearest-neighbor-classification-0706.3499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metric-embedding-for-nearest-neighbor-classification-0706.3499"/></url>
<url><loc>https://scifaro.com/zh/abs/metric-embedding-for-nearest-neighbor-classification-0706.3499</loc><lastmod>2007-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metric-embedding-for-nearest-neighbor-classification-0706.3499"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/metric-embedding-for-nearest-neighbor-classification-0706.3499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metric-embedding-for-nearest-neighbor-classification-0706.3499"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-dependent-observations-0707.0303</loc><lastmod>2007-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-dependent-observations-0707.0303"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/learning-from-dependent-observations-0707.0303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-dependent-observations-0707.0303"/></url>
<url><loc>https://scifaro.com/zh/abs/learning-from-dependent-observations-0707.0303</loc><lastmod>2007-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-dependent-observations-0707.0303"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/learning-from-dependent-observations-0707.0303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-dependent-observations-0707.0303"/></url>
<url><loc>https://scifaro.com/en/abs/degenerating-families-of-dendrograms-0707.3536</loc><lastmod>2008-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/degenerating-families-of-dendrograms-0707.3536"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/degenerating-families-of-dendrograms-0707.3536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/degenerating-families-of-dendrograms-0707.3536"/></url>
<url><loc>https://scifaro.com/zh/abs/degenerating-families-of-dendrograms-0707.3536</loc><lastmod>2008-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/degenerating-families-of-dendrograms-0707.3536"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/degenerating-families-of-dendrograms-0707.3536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/degenerating-families-of-dendrograms-0707.3536"/></url>
<url><loc>https://scifaro.com/en/abs/families-of-dendrograms-0707.4072</loc><lastmod>2009-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/families-of-dendrograms-0707.4072"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/families-of-dendrograms-0707.4072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/families-of-dendrograms-0707.4072"/></url>
<url><loc>https://scifaro.com/zh/abs/families-of-dendrograms-0707.4072</loc><lastmod>2009-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/families-of-dendrograms-0707.4072"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/families-of-dendrograms-0707.4072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/families-of-dendrograms-0707.4072"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-in-discrete-hidden-markov-models-0708.2377</loc><lastmod>2007-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-in-discrete-hidden-markov-models-0708.2377"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/online-learning-in-discrete-hidden-markov-models-0708.2377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-in-discrete-hidden-markov-models-0708.2377"/></url>
<url><loc>https://scifaro.com/zh/abs/online-learning-in-discrete-hidden-markov-models-0708.2377</loc><lastmod>2007-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-in-discrete-hidden-markov-models-0708.2377"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/online-learning-in-discrete-hidden-markov-models-0708.2377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-in-discrete-hidden-markov-models-0708.2377"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-machine-learning-with-a-novel-kernel-density-estimator-0709.2760</loc><lastmod>2007-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-machine-learning-with-a-novel-kernel-density-estimator-0709.2760"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/supervised-machine-learning-with-a-novel-kernel-density-estimator-0709.2760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-machine-learning-with-a-novel-kernel-density-estimator-0709.2760"/></url>
<url><loc>https://scifaro.com/zh/abs/supervised-machine-learning-with-a-novel-kernel-density-estimator-0709.2760</loc><lastmod>2007-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-machine-learning-with-a-novel-kernel-density-estimator-0709.2760"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/supervised-machine-learning-with-a-novel-kernel-density-estimator-0709.2760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-machine-learning-with-a-novel-kernel-density-estimator-0709.2760"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-classification-and-regression-with-high-dimensional-features-0709.2936</loc><lastmod>2007-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-classification-and-regression-with-high-dimensional-features-0709.2936"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/bayesian-classification-and-regression-with-high-dimensional-features-0709.2936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-classification-and-regression-with-high-dimensional-features-0709.2936"/></url>
<url><loc>https://scifaro.com/zh/abs/bayesian-classification-and-regression-with-high-dimensional-features-0709.2936</loc><lastmod>2007-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-classification-and-regression-with-high-dimensional-features-0709.2936"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/bayesian-classification-and-regression-with-high-dimensional-features-0709.2936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-classification-and-regression-with-high-dimensional-features-0709.2936"/></url>
<url><loc>https://scifaro.com/en/abs/simulated-annealing-rigorous-finite-time-guarantees-for-optimization-on-continuous-domains-0709.2989</loc><lastmod>2007-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulated-annealing-rigorous-finite-time-guarantees-for-optimization-on-continuous-domains-0709.2989"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/simulated-annealing-rigorous-finite-time-guarantees-for-optimization-on-continuous-domains-0709.2989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulated-annealing-rigorous-finite-time-guarantees-for-optimization-on-continuous-domains-0709.2989"/></url>
<url><loc>https://scifaro.com/zh/abs/simulated-annealing-rigorous-finite-time-guarantees-for-optimization-on-continuous-domains-0709.2989</loc><lastmod>2007-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulated-annealing-rigorous-finite-time-guarantees-for-optimization-on-continuous-domains-0709.2989"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/simulated-annealing-rigorous-finite-time-guarantees-for-optimization-on-continuous-domains-0709.2989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulated-annealing-rigorous-finite-time-guarantees-for-optimization-on-continuous-domains-0709.2989"/></url>
<url><loc>https://scifaro.com/en/abs/low-dimensional-embedding-of-fmri-datasets-0709.3121</loc><lastmod>2008-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-dimensional-embedding-of-fmri-datasets-0709.3121"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/low-dimensional-embedding-of-fmri-datasets-0709.3121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-dimensional-embedding-of-fmri-datasets-0709.3121"/></url>
<url><loc>https://scifaro.com/zh/abs/low-dimensional-embedding-of-fmri-datasets-0709.3121</loc><lastmod>2008-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-dimensional-embedding-of-fmri-datasets-0709.3121"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/low-dimensional-embedding-of-fmri-datasets-0709.3121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-dimensional-embedding-of-fmri-datasets-0709.3121"/></url>
<url><loc>https://scifaro.com/en/abs/structured-variable-selection-in-support-vector-machines-0710.0508</loc><lastmod>2008-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-variable-selection-in-support-vector-machines-0710.0508"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/structured-variable-selection-in-support-vector-machines-0710.0508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-variable-selection-in-support-vector-machines-0710.0508"/></url>
<url><loc>https://scifaro.com/zh/abs/structured-variable-selection-in-support-vector-machines-0710.0508</loc><lastmod>2008-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-variable-selection-in-support-vector-machines-0710.0508"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/structured-variable-selection-in-support-vector-machines-0710.0508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-variable-selection-in-support-vector-machines-0710.0508"/></url>
<url><loc>https://scifaro.com/en/abs/the-nested-chinese-restaurant-process-and-bayesian-nonparametric-inference-of-topic-hierarchies-0710.0845</loc><lastmod>2009-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-nested-chinese-restaurant-process-and-bayesian-nonparametric-inference-of-topic-hierarchies-0710.0845"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/the-nested-chinese-restaurant-process-and-bayesian-nonparametric-inference-of-topic-hierarchies-0710.0845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-nested-chinese-restaurant-process-and-bayesian-nonparametric-inference-of-topic-hierarchies-0710.0845"/></url>
<url><loc>https://scifaro.com/zh/abs/the-nested-chinese-restaurant-process-and-bayesian-nonparametric-inference-of-topic-hierarchies-0710.0845</loc><lastmod>2009-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-nested-chinese-restaurant-process-and-bayesian-nonparametric-inference-of-topic-hierarchies-0710.0845"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/the-nested-chinese-restaurant-process-and-bayesian-nonparametric-inference-of-topic-hierarchies-0710.0845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-nested-chinese-restaurant-process-and-bayesian-nonparametric-inference-of-topic-hierarchies-0710.0845"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-coherence-and-proper-scoring-rules-0710.3183</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-coherence-and-proper-scoring-rules-0710.3183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-coherence-and-proper-scoring-rules-0710.3183"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-online-changepoint-detection-0710.3742</loc><lastmod>2007-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-online-changepoint-detection-0710.3742"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/bayesian-online-changepoint-detection-0710.3742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-online-changepoint-detection-0710.3742"/></url>
<url><loc>https://scifaro.com/zh/abs/bayesian-online-changepoint-detection-0710.3742</loc><lastmod>2007-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-online-changepoint-detection-0710.3742"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/bayesian-online-changepoint-detection-0710.3742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-online-changepoint-detection-0710.3742"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-machine-learning-with-a-novel-pointwise-density-estimator-0710.5896</loc><lastmod>2007-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-machine-learning-with-a-novel-pointwise-density-estimator-0710.5896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-machine-learning-with-a-novel-pointwise-density-estimator-0710.5896"/></url>
<url><loc>https://scifaro.com/en/abs/variable-importance-in-binary-regression-trees-and-forests-0711.2434</loc><lastmod>2009-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-importance-in-binary-regression-trees-and-forests-0711.2434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-importance-in-binary-regression-trees-and-forests-0711.2434"/></url>
<url><loc>https://scifaro.com/en/abs/a-method-for-compressing-parameters-in-bayesian-models-with-application-to-logistic-sequence-prediction-models-0711.4983</loc><lastmod>2017-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-method-for-compressing-parameters-in-bayesian-models-with-application-to-logistic-sequence-prediction-models-0711.4983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-method-for-compressing-parameters-in-bayesian-models-with-application-to-logistic-sequence-prediction-models-0711.4983"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayesian-supervised-classification-the-thermodynamics-of-statistical-learning-0712.0248</loc><lastmod>2007-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayesian-supervised-classification-the-thermodynamics-of-statistical-learning-0712.0248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayesian-supervised-classification-the-thermodynamics-of-statistical-learning-0712.0248"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayesian-bounds-for-randomized-empirical-risk-minimizers-0712.1698</loc><lastmod>2009-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayesian-bounds-for-randomized-empirical-risk-minimizers-0712.1698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayesian-bounds-for-randomized-empirical-risk-minimizers-0712.1698"/></url>
<url><loc>https://scifaro.com/en/abs/parameterizations-and-fitting-of-bi-directed-graph-models-to-categorical-data-0801.1440</loc><lastmod>2008-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameterizations-and-fitting-of-bi-directed-graph-models-to-categorical-data-0801.1440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameterizations-and-fitting-of-bi-directed-graph-models-to-categorical-data-0801.1440"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-ell-1-ell-q-regularized-regression-0802.1517</loc><lastmod>2008-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-ell-1-ell-q-regularized-regression-0802.1517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-ell-1-ell-q-regularized-regression-0802.1517"/></url>
<url><loc>https://scifaro.com/en/abs/fine-fisher-information-non-parametric-embedding-0802.2050</loc><lastmod>2009-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fine-fisher-information-non-parametric-embedding-0802.2050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fine-fisher-information-non-parametric-embedding-0802.2050"/></url>
<url><loc>https://scifaro.com/en/abs/time-varying-undirected-graphs-0802.2758</loc><lastmod>2008-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-varying-undirected-graphs-0802.2758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-varying-undirected-graphs-0802.2758"/></url>
<url><loc>https://scifaro.com/en/abs/classification-constrained-dimensionality-reduction-0802.2906</loc><lastmod>2009-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-constrained-dimensionality-reduction-0802.2906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-constrained-dimensionality-reduction-0802.2906"/></url>
<url><loc>https://scifaro.com/en/abs/penalized-model-based-clustering-with-cluster-specific-diagonal-covariance-matrices-and-grouped-variables-0802.3125</loc><lastmod>2008-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/penalized-model-based-clustering-with-cluster-specific-diagonal-covariance-matrices-and-grouped-variables-0802.3125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/penalized-model-based-clustering-with-cluster-specific-diagonal-covariance-matrices-and-grouped-variables-0802.3125"/></url>
<url><loc>https://scifaro.com/en/abs/self-organizing-map-algorithm-and-distortion-measure-0802.3150</loc><lastmod>2008-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-organizing-map-algorithm-and-distortion-measure-0802.3150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-organizing-map-algorithm-and-distortion-measure-0802.3150"/></url>
<url><loc>https://scifaro.com/en/abs/component-models-for-large-networks-0803.1628</loc><lastmod>2008-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/component-models-for-large-networks-0803.1628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/component-models-for-large-networks-0803.1628"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-boosting-algorithms-using-the-smooth-margin-function-0803.4092</loc><lastmod>2008-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-boosting-algorithms-using-the-smooth-margin-function-0803.4092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-boosting-algorithms-using-the-smooth-margin-function-0803.4092"/></url>
<url><loc>https://scifaro.com/en/abs/testing-for-homogeneity-with-kernel-fisher-discriminant-analysis-0804.1026</loc><lastmod>2008-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-for-homogeneity-with-kernel-fisher-discriminant-analysis-0804.1026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-for-homogeneity-with-kernel-fisher-discriminant-analysis-0804.1026"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-underestimation-of-model-uncertainty-by-bayesian-k-nearest-neighbors-0804.1325</loc><lastmod>2008-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-underestimation-of-model-uncertainty-by-bayesian-k-nearest-neighbors-0804.1325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-underestimation-of-model-uncertainty-by-bayesian-k-nearest-neighbors-0804.1325"/></url>
<url><loc>https://scifaro.com/en/abs/information-preserving-component-analysis-data-projections-for-flow-cytometry-analysis-0804.2848</loc><lastmod>2009-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-preserving-component-analysis-data-projections-for-flow-cytometry-analysis-0804.2848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-preserving-component-analysis-data-projections-for-flow-cytometry-analysis-0804.2848"/></url>
<url><loc>https://scifaro.com/en/abs/a-quasi-newton-approach-to-nonsmooth-convex-optimization-problems-in-machine-learning-0804.3835</loc><lastmod>2010-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-quasi-newton-approach-to-nonsmooth-convex-optimization-problems-in-machine-learning-0804.3835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-quasi-newton-approach-to-nonsmooth-convex-optimization-problems-in-machine-learning-0804.3835"/></url>
<url><loc>https://scifaro.com/en/abs/random-projection-trees-for-vector-quantization-0805.1390</loc><lastmod>2008-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-projection-trees-for-vector-quantization-0805.1390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-projection-trees-for-vector-quantization-0805.1390"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-and-bounds-for-rollout-sampling-approximate-policy-iteration-0805.2015</loc><lastmod>2009-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-and-bounds-for-rollout-sampling-approximate-policy-iteration-0805.2015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-and-bounds-for-rollout-sampling-approximate-policy-iteration-0805.2015"/></url>
<url><loc>https://scifaro.com/en/abs/symmetry-in-data-mining-and-analysis-a-unifying-view-based-on-hierarchy-0805.2744</loc><lastmod>2011-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symmetry-in-data-mining-and-analysis-a-unifying-view-based-on-hierarchy-0805.2744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symmetry-in-data-mining-and-analysis-a-unifying-view-based-on-hierarchy-0805.2744"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-subset-recovery-in-noise-sparsified-measurements-without-loss-of-statistical-efficiency-0805.3005</loc><lastmod>2008-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-subset-recovery-in-noise-sparsified-measurements-without-loss-of-statistical-efficiency-0805.3005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-subset-recovery-in-noise-sparsified-measurements-without-loss-of-statistical-efficiency-0805.3005"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-learning-the-price-of-normalization-0806.2646</loc><lastmod>2008-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-learning-the-price-of-normalization-0806.2646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-learning-the-price-of-normalization-0806.2646"/></url>
<url><loc>https://scifaro.com/en/abs/local-procrustes-for-manifold-embedding-a-measure-of-embedding-quality-and-embedding-algorithms-0806.2669</loc><lastmod>2008-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-procrustes-for-manifold-embedding-a-measure-of-embedding-quality-and-embedding-algorithms-0806.2669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-procrustes-for-manifold-embedding-a-measure-of-embedding-quality-and-embedding-algorithms-0806.2669"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-functional-classification-a-theoretical-remark-and-some-comparisons-0806.2831</loc><lastmod>2008-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-functional-classification-a-theoretical-remark-and-some-comparisons-0806.2831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-functional-classification-a-theoretical-remark-and-some-comparisons-0806.2831"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-additive-modeling-0806.4115</loc><lastmod>2009-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-additive-modeling-0806.4115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-additive-modeling-0806.4115"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-regional-classification-of-levantine-ivory-sculptures-a-machine-learning-approach-0806.4642</loc><lastmod>2008-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-regional-classification-of-levantine-ivory-sculptures-a-machine-learning-approach-0806.4642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-regional-classification-of-levantine-ivory-sculptures-a-machine-learning-approach-0806.4642"/></url>
<url><loc>https://scifaro.com/en/abs/text-data-mining-theory-and-methods-0807.2569</loc><lastmod>2008-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/text-data-mining-theory-and-methods-0807.2569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/text-data-mining-theory-and-methods-0807.2569"/></url>
<url><loc>https://scifaro.com/en/abs/elastic-net-regularization-in-learning-theory-0807.3423</loc><lastmod>2008-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elastic-net-regularization-in-learning-theory-0807.3423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elastic-net-regularization-in-learning-theory-0807.3423"/></url>
<url><loc>https://scifaro.com/en/abs/inference-with-discriminative-posterior-0807.3470</loc><lastmod>2008-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-with-discriminative-posterior-0807.3470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-with-discriminative-posterior-0807.3470"/></url>
<url><loc>https://scifaro.com/en/abs/data-spectroscopy-eigenspaces-of-convolution-operators-and-clustering-0807.3719</loc><lastmod>2009-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-spectroscopy-eigenspaces-of-convolution-operators-and-clustering-0807.3719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-spectroscopy-eigenspaces-of-convolution-operators-and-clustering-0807.3719"/></url>
<url><loc>https://scifaro.com/en/abs/support-union-recovery-in-high-dimensional-multivariate-regression-0808.0711</loc><lastmod>2011-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/support-union-recovery-in-high-dimensional-multivariate-regression-0808.0711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/support-union-recovery-in-high-dimensional-multivariate-regression-0808.0711"/></url>
<url><loc>https://scifaro.com/en/abs/lle-with-low-dimensional-neighborhood-representation-0808.0780</loc><lastmod>2008-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lle-with-low-dimensional-neighborhood-representation-0808.0780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lle-with-low-dimensional-neighborhood-representation-0808.0780"/></url>
<url><loc>https://scifaro.com/en/abs/persistent-clustering-and-a-theorem-of-j-kleinberg-0808.2241</loc><lastmod>2008-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/persistent-clustering-and-a-theorem-of-j-kleinberg-0808.2241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/persistent-clustering-and-a-theorem-of-j-kleinberg-0808.2241"/></url>
<url><loc>https://scifaro.com/en/abs/decomposable-principal-component-analysis-0808.2337</loc><lastmod>2015-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decomposable-principal-component-analysis-0808.2337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decomposable-principal-component-analysis-0808.2337"/></url>
<url><loc>https://scifaro.com/en/abs/from-data-to-the-p-adic-or-ultrametric-model-0809.0492</loc><lastmod>2011-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-data-to-the-p-adic-or-ultrametric-model-0809.0492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-data-to-the-p-adic-or-ultrametric-model-0809.0492"/></url>
<url><loc>https://scifaro.com/en/abs/survival-tree-and-meld-to-predict-long-term-survival-in-liver-transplantation-waiting-list-0809.3803</loc><lastmod>2008-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survival-tree-and-meld-to-predict-long-term-survival-in-liver-transplantation-waiting-list-0809.3803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survival-tree-and-meld-to-predict-long-term-survival-in-liver-transplantation-waiting-list-0809.3803"/></url>
<url><loc>https://scifaro.com/en/abs/an-information-geometric-framework-for-dimensionality-reduction-0809.4866</loc><lastmod>2008-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-information-geometric-framework-for-dimensionality-reduction-0809.4866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-information-geometric-framework-for-dimensionality-reduction-0809.4866"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-variational-inference-and-experimental-design-for-sparse-generalized-linear-models-0810.0901</loc><lastmod>2010-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-variational-inference-and-experimental-design-for-sparse-generalized-linear-models-0810.0901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-variational-inference-and-experimental-design-for-sparse-generalized-linear-models-0810.0901"/></url>
<url><loc>https://scifaro.com/en/abs/foundations-of-a-multi-way-spectral-clustering-framework-for-hybrid-linear-modeling-0810.3724</loc><lastmod>2009-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/foundations-of-a-multi-way-spectral-clustering-framework-for-hybrid-linear-modeling-0810.3724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/foundations-of-a-multi-way-spectral-clustering-framework-for-hybrid-linear-modeling-0810.3724"/></url>
<url><loc>https://scifaro.com/en/abs/online-coordinate-boosting-0810.4553</loc><lastmod>2008-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-coordinate-boosting-0810.4553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-coordinate-boosting-0810.4553"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-learning-theory-models-concepts-and-results-0810.4752</loc><lastmod>2008-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-learning-theory-models-concepts-and-results-0810.4752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-learning-theory-models-concepts-and-results-0810.4752"/></url>
<url><loc>https://scifaro.com/en/abs/a-non-negative-expansion-for-small-jensen-shannon-divergences-0810.5117</loc><lastmod>2008-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-non-negative-expansion-for-small-jensen-shannon-divergences-0810.5117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-non-negative-expansion-for-small-jensen-shannon-divergences-0810.5117"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-structure-and-the-prediction-of-missing-links-in-networks-0811.0484</loc><lastmod>2008-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-structure-and-the-prediction-of-missing-links-in-networks-0811.0484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-structure-and-the-prediction-of-missing-links-in-networks-0811.0484"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-ranking-and-combinatorial-hodge-theory-0811.1067</loc><lastmod>2009-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-ranking-and-combinatorial-hodge-theory-0811.1067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-ranking-and-combinatorial-hodge-theory-0811.1067"/></url>
<url><loc>https://scifaro.com/en/abs/improved-estimation-of-high-dimensional-ising-models-0811.1239</loc><lastmod>2008-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-estimation-of-high-dimensional-ising-models-0811.1239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-estimation-of-high-dimensional-ising-models-0811.1239"/></url>
<url><loc>https://scifaro.com/en/abs/a-multivariate-regression-approach-to-association-analysis-of-quantitative-trait-network-0811.2026</loc><lastmod>2008-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multivariate-regression-approach-to-association-analysis-of-quantitative-trait-network-0811.2026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multivariate-regression-approach-to-association-analysis-of-quantitative-trait-network-0811.2026"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-regression-by-mode-calculation-of-the-conditional-probability-distribution-0811.3499</loc><lastmod>2008-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-regression-by-mode-calculation-of-the-conditional-probability-distribution-0811.3499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-regression-by-mode-calculation-of-the-conditional-probability-distribution-0811.3499"/></url>
<url><loc>https://scifaro.com/en/abs/entropy-inference-and-the-james-stein-estimator-with-application-to-nonlinear-gene-association-networks-0811.3579</loc><lastmod>2009-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropy-inference-and-the-james-stein-estimator-with-application-to-nonlinear-gene-association-networks-0811.3579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropy-inference-and-the-james-stein-estimator-with-application-to-nonlinear-gene-association-networks-0811.3579"/></url>
<url><loc>https://scifaro.com/en/abs/random-forests-some-methodological-insights-0811.3619</loc><lastmod>2008-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-forests-some-methodological-insights-0811.3619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-forests-some-methodological-insights-0811.3619"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-covariance-estimation-by-minimizing-ell-1-penalized-log-determinant-divergence-0811.3628</loc><lastmod>2008-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-covariance-estimation-by-minimizing-ell-1-penalized-log-determinant-divergence-0811.3628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-covariance-estimation-by-minimizing-ell-1-penalized-log-determinant-divergence-0811.3628"/></url>
<url><loc>https://scifaro.com/en/abs/an-information-theoretic-derivation-of-min-cut-based-clustering-0811.4208</loc><lastmod>2008-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-information-theoretic-derivation-of-min-cut-based-clustering-0811.4208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-information-theoretic-derivation-of-min-cut-based-clustering-0811.4208"/></url>
<url><loc>https://scifaro.com/en/abs/missing-data-using-decision-forest-and-computational-intelligence-0812.1615</loc><lastmod>2008-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/missing-data-using-decision-forest-and-computational-intelligence-0812.1615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/missing-data-using-decision-forest-and-computational-intelligence-0812.1615"/></url>
<url><loc>https://scifaro.com/en/abs/trek-separation-for-gaussian-graphical-models-0812.1938</loc><lastmod>2010-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trek-separation-for-gaussian-graphical-models-0812.1938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trek-separation-for-gaussian-graphical-models-0812.1938"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-with-restricted-resources-and-finite-automata-0812.1949</loc><lastmod>2008-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-with-restricted-resources-and-finite-automata-0812.1949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-with-restricted-resources-and-finite-automata-0812.1949"/></url>
<url><loc>https://scifaro.com/en/abs/a-hierarchical-dirichlet-process-mixture-model-for-haplotype-reconstruction-from-multi-population-data-0812.4648</loc><lastmod>2009-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hierarchical-dirichlet-process-mixture-model-for-haplotype-reconstruction-from-multi-population-data-0812.4648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hierarchical-dirichlet-process-mixture-model-for-haplotype-reconstruction-from-multi-population-data-0812.4648"/></url>
<url><loc>https://scifaro.com/en/abs/kronecker-graphs-an-approach-to-modeling-networks-0812.4905</loc><lastmod>2009-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kronecker-graphs-an-approach-to-modeling-networks-0812.4905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kronecker-graphs-an-approach-to-modeling-networks-0812.4905"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-time-varying-networks-0812.5087</loc><lastmod>2010-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-time-varying-networks-0812.5087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-time-varying-networks-0812.5087"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-geometry-of-discrete-exponential-families-with-application-to-exponential-random-graph-models-0901.0026</loc><lastmod>2009-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-geometry-of-discrete-exponential-families-with-application-to-exponential-random-graph-models-0901.0026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-geometry-of-discrete-exponential-families-with-application-to-exponential-random-graph-models-0901.0026"/></url>
<url><loc>https://scifaro.com/en/abs/a-state-space-mixed-membership-blockmodel-for-dynamic-network-tomography-0901.0135</loc><lastmod>2010-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-state-space-mixed-membership-blockmodel-for-dynamic-network-tomography-0901.0135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-state-space-mixed-membership-blockmodel-for-dynamic-network-tomography-0901.0135"/></url>
<url><loc>https://scifaro.com/en/abs/information-divergence-and-risk-for-binary-experiments-0901.0356</loc><lastmod>2009-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-divergence-and-risk-for-binary-experiments-0901.0356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-divergence-and-risk-for-binary-experiments-0901.0356"/></url>
<url><loc>https://scifaro.com/en/abs/differential-privacy-with-compression-0901.1365</loc><lastmod>2009-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differential-privacy-with-compression-0901.1365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differential-privacy-with-compression-0901.1365"/></url>
<url><loc>https://scifaro.com/en/abs/a-d-c-programming-approach-to-the-sparse-generalized-eigenvalue-problem-0901.1504</loc><lastmod>2009-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-d-c-programming-approach-to-the-sparse-generalized-eigenvalue-problem-0901.1504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-d-c-programming-approach-to-the-sparse-generalized-eigenvalue-problem-0901.1504"/></url>
<url><loc>https://scifaro.com/en/abs/the-redundancy-of-a-computable-code-on-a-noncomputable-distribution-0901.2321</loc><lastmod>2009-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-redundancy-of-a-computable-code-on-a-noncomputable-distribution-0901.2321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-redundancy-of-a-computable-code-on-a-noncomputable-distribution-0901.2321"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-entropy-discrimination-markov-networks-0901.2730</loc><lastmod>2009-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-entropy-discrimination-markov-networks-0901.2730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-entropy-discrimination-markov-networks-0901.2730"/></url>
<url><loc>https://scifaro.com/en/abs/state-space-realization-theorems-for-data-mining-0901.2735</loc><lastmod>2009-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/state-space-realization-theorems-for-data-mining-0901.2735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/state-space-realization-theorems-for-data-mining-0901.2735"/></url>
<url><loc>https://scifaro.com/en/abs/the-benefit-of-group-sparsity-0901.2962</loc><lastmod>2009-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-benefit-of-group-sparsity-0901.2962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-benefit-of-group-sparsity-0901.2962"/></url>
<url><loc>https://scifaro.com/en/abs/tree-exploration-for-bayesian-rl-exploration-0902.0392</loc><lastmod>2011-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tree-exploration-for-bayesian-rl-exploration-0902.0392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tree-exploration-for-bayesian-rl-exploration-0902.0392"/></url>
<url><loc>https://scifaro.com/en/abs/reconstruction-of-epsilon-machines-in-predictive-frameworks-and-decisional-states-0902.0600</loc><lastmod>2011-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconstruction-of-epsilon-machines-in-predictive-frameworks-and-decisional-states-0902.0600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconstruction-of-epsilon-machines-in-predictive-frameworks-and-decisional-states-0902.0600"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-partial-least-squares-for-on-line-variable-selection-in-multivariate-data-streams-0902.1323</loc><lastmod>2009-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-partial-least-squares-for-on-line-variable-selection-in-multivariate-data-streams-0902.1323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-partial-least-squares-for-on-line-variable-selection-in-multivariate-data-streams-0902.1323"/></url>
<url><loc>https://scifaro.com/en/abs/risk-bounds-in-linear-regression-through-pac-bayesian-truncation-0902.1733</loc><lastmod>2010-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-bounds-in-linear-regression-through-pac-bayesian-truncation-0902.1733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-bounds-in-linear-regression-through-pac-bayesian-truncation-0902.1733"/></url>
<url><loc>https://scifaro.com/en/abs/ultrametric-wavelet-regression-of-multivariate-time-series-application-to-colombian-conflict-analysis-0902.2808</loc><lastmod>2011-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ultrametric-wavelet-regression-of-multivariate-time-series-application-to-colombian-conflict-analysis-0902.2808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ultrametric-wavelet-regression-of-multivariate-time-series-application-to-colombian-conflict-analysis-0902.2808"/></url>
<url><loc>https://scifaro.com/en/abs/risk-bounds-for-cart-classifiers-under-a-margin-condition-0902.3130</loc><lastmod>2012-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-bounds-for-cart-classifiers-under-a-margin-condition-0902.3130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-bounds-for-cart-classifiers-under-a-margin-condition-0902.3130"/></url>
<url><loc>https://scifaro.com/en/abs/lanczos-approximations-for-the-speedup-of-kernel-partial-least-squares-regression-0902.3347</loc><lastmod>2010-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lanczos-approximations-for-the-speedup-of-kernel-partial-least-squares-regression-0902.3347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lanczos-approximations-for-the-speedup-of-kernel-partial-least-squares-regression-0902.3347"/></url>
<url><loc>https://scifaro.com/en/abs/escaping-the-curse-of-dimensionality-with-a-tree-based-regressor-0902.3453</loc><lastmod>2009-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/escaping-the-curse-of-dimensionality-with-a-tree-based-regressor-0902.3453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/escaping-the-curse-of-dimensionality-with-a-tree-based-regressor-0902.3453"/></url>
<url><loc>https://scifaro.com/en/abs/online-multi-task-learning-with-hard-constraints-0902.3526</loc><lastmod>2009-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-multi-task-learning-with-hard-constraints-0902.3526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-multi-task-learning-with-hard-constraints-0902.3526"/></url>
<url><loc>https://scifaro.com/en/abs/context-tree-selection-and-linguistic-rhythm-retrieval-from-written-texts-0902.3619</loc><lastmod>2012-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-tree-selection-and-linguistic-rhythm-retrieval-from-written-texts-0902.3619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-tree-selection-and-linguistic-rhythm-retrieval-from-written-texts-0902.3619"/></url>
<url><loc>https://scifaro.com/en/abs/dimension-reduction-in-representation-of-the-data-0902.4389</loc><lastmod>2009-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimension-reduction-in-representation-of-the-data-0902.4389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimension-reduction-in-representation-of-the-data-0902.4389"/></url>
<url><loc>https://scifaro.com/en/abs/the-nonparanormal-semiparametric-estimation-of-high-dimensional-undirected-graphs-0903.0649</loc><lastmod>2009-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-nonparanormal-semiparametric-estimation-of-high-dimensional-undirected-graphs-0903.0649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-nonparanormal-semiparametric-estimation-of-high-dimensional-undirected-graphs-0903.0649"/></url>
<url><loc>https://scifaro.com/en/abs/taking-advantage-of-sparsity-in-multi-task-learning-0903.1468</loc><lastmod>2012-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taking-advantage-of-sparsity-in-multi-task-learning-0903.1468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taking-advantage-of-sparsity-in-multi-task-learning-0903.1468"/></url>
<url><loc>https://scifaro.com/en/abs/dual-augmented-lagrangian-method-for-efficient-sparse-reconstruction-0904.0584</loc><lastmod>2010-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-augmented-lagrangian-method-for-efficient-sparse-reconstruction-0904.0584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-augmented-lagrangian-method-for-efficient-sparse-reconstruction-0904.0584"/></url>
<url><loc>https://scifaro.com/en/abs/induction-of-high-level-behaviors-from-problem-solving-traces-using-machine-learning-tools-0904.0776</loc><lastmod>2009-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/induction-of-high-level-behaviors-from-problem-solving-traces-using-machine-learning-tools-0904.0776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/induction-of-high-level-behaviors-from-problem-solving-traces-using-machine-learning-tools-0904.0776"/></url>
<url><loc>https://scifaro.com/en/abs/finding-exogenous-variables-in-data-with-many-more-variables-than-observations-0904.0838</loc><lastmod>2011-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-exogenous-variables-in-data-with-many-more-variables-than-observations-0904.0838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-exogenous-variables-in-data-with-many-more-variables-than-observations-0904.0838"/></url>
<url><loc>https://scifaro.com/en/abs/structured-variable-selection-with-sparsity-inducing-norms-0904.3523</loc><lastmod>2011-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-variable-selection-with-sparsity-inducing-norms-0904.3523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-variable-selection-with-sparsity-inducing-norms-0904.3523"/></url>
<url><loc>https://scifaro.com/en/abs/a-large-deviation-analysis-of-the-maximum-likelihood-learning-of-markov-tree-structures-0905.0940</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-large-deviation-analysis-of-the-maximum-likelihood-learning-of-markov-tree-structures-0905.0940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-large-deviation-analysis-of-the-maximum-likelihood-learning-of-markov-tree-structures-0905.0940"/></url>
<url><loc>https://scifaro.com/en/abs/supplementary-material-for-markov-equivalence-for-ancestral-graphs-0905.1540</loc><lastmod>2009-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supplementary-material-for-markov-equivalence-for-ancestral-graphs-0905.1540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supplementary-material-for-markov-equivalence-for-ancestral-graphs-0905.1540"/></url>
<url><loc>https://scifaro.com/en/abs/a-more-robust-boosting-algorithm-0905.2138</loc><lastmod>2009-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-more-robust-boosting-algorithm-0905.2138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-more-robust-boosting-algorithm-0905.2138"/></url>
<url><loc>https://scifaro.com/en/abs/dimension-reduction-and-variable-selection-in-case-control-studies-via-regularized-likelihood-optimization-0905.2171</loc><lastmod>2009-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimension-reduction-and-variable-selection-in-case-control-studies-via-regularized-likelihood-optimization-0905.2171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimension-reduction-and-variable-selection-in-case-control-studies-via-regularized-likelihood-optimization-0905.2171"/></url>
<url><loc>https://scifaro.com/en/abs/percolation-thresholds-of-updated-posteriors-for-tracking-causal-markov-processes-in-complex-networks-0905.2236</loc><lastmod>2009-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/percolation-thresholds-of-updated-posteriors-for-tracking-causal-markov-processes-in-complex-networks-0905.2236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/percolation-thresholds-of-updated-posteriors-for-tracking-causal-markov-processes-in-complex-networks-0905.2236"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-methods-for-learning-incomplete-matrices-0906.2034</loc><lastmod>2009-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-methods-for-learning-incomplete-matrices-0906.2034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-methods-for-learning-incomplete-matrices-0906.2034"/></url>
<url><loc>https://scifaro.com/en/abs/forest-garrote-0906.3590</loc><lastmod>2009-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forest-garrote-0906.3590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forest-garrote-0906.3590"/></url>
<url><loc>https://scifaro.com/en/abs/the-feature-importance-ranking-measure-0906.4258</loc><lastmod>2010-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-feature-importance-ranking-measure-0906.4258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-feature-importance-ranking-measure-0906.4258"/></url>
<url><loc>https://scifaro.com/en/abs/knife-kernel-iterative-feature-extraction-0906.4391</loc><lastmod>2009-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knife-kernel-iterative-feature-extraction-0906.4391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knife-kernel-iterative-feature-extraction-0906.4391"/></url>
<url><loc>https://scifaro.com/en/abs/on-landmark-selection-and-sampling-in-high-dimensional-data-analysis-0906.4582</loc><lastmod>2010-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-landmark-selection-and-sampling-in-high-dimensional-data-analysis-0906.4582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-landmark-selection-and-sampling-in-high-dimensional-data-analysis-0906.4582"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-nonlinear-learning-using-local-coordinate-coding-0906.5190</loc><lastmod>2009-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-nonlinear-learning-using-local-coordinate-coding-0906.5190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-nonlinear-learning-using-local-coordinate-coding-0906.5190"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-hypothesis-testing-in-pattern-discovery-0906.5263</loc><lastmod>2009-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-hypothesis-testing-in-pattern-discovery-0906.5263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-hypothesis-testing-in-pattern-discovery-0906.5263"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-agglomerative-clustering-with-coalescents-0907.0781</loc><lastmod>2009-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-agglomerative-clustering-with-coalescents-0907.0781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-agglomerative-clustering-with-coalescents-0907.0781"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-topics-with-multi-word-expressions-0907.1013</loc><lastmod>2009-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-topics-with-multi-word-expressions-0907.1013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-topics-with-multi-word-expressions-0907.1013"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-protein-binding-pocket-similarity-measure-based-on-comparison-of-3d-atom-clouds-application-to-ligand-prediction-0907.1531</loc><lastmod>2009-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-protein-binding-pocket-similarity-measure-based-on-comparison-of-3d-atom-clouds-application-to-ligand-prediction-0907.1531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-protein-binding-pocket-similarity-measure-based-on-comparison-of-3d-atom-clouds-application-to-ligand-prediction-0907.1531"/></url>
<url><loc>https://scifaro.com/en/abs/sparsistent-estimation-of-time-varying-discrete-markov-random-fields-0907.2337</loc><lastmod>2013-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsistent-estimation-of-time-varying-discrete-markov-random-fields-0907.2337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsistent-estimation-of-time-varying-discrete-markov-random-fields-0907.2337"/></url>
<url><loc>https://scifaro.com/en/abs/sparsecodepicking-feature-extraction-in-mass-spectrometry-using-sparse-coding-algorithms-0907.3426</loc><lastmod>2009-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsecodepicking-feature-extraction-in-mass-spectrometry-using-sparse-coding-algorithms-0907.3426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsecodepicking-feature-extraction-in-mass-spectrometry-using-sparse-coding-algorithms-0907.3426"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-bernstein-bounds-and-sample-variance-penalization-0907.3740</loc><lastmod>2009-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-bernstein-bounds-and-sample-variance-penalization-0907.3740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-bernstein-bounds-and-sample-variance-penalization-0907.3740"/></url>
<url><loc>https://scifaro.com/en/abs/mean-field-theory-of-meta-learning-0907.4643</loc><lastmod>2015-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-field-theory-of-meta-learning-0907.4643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-field-theory-of-meta-learning-0907.4643"/></url>
<url><loc>https://scifaro.com/en/abs/hilbert-space-embeddings-and-metrics-on-probability-measures-0907.5309</loc><lastmod>2010-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hilbert-space-embeddings-and-metrics-on-probability-measures-0907.5309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hilbert-space-embeddings-and-metrics-on-probability-measures-0907.5309"/></url>
<url><loc>https://scifaro.com/en/abs/how-the-initialization-affects-the-stability-of-the-k-means-algorithm-0907.5494</loc><lastmod>2009-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-the-initialization-affects-the-stability-of-the-k-means-algorithm-0907.5494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-the-initialization-affects-the-stability-of-the-k-means-algorithm-0907.5494"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-for-matrix-factorization-and-sparse-coding-0908.0050</loc><lastmod>2010-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-for-matrix-factorization-and-sparse-coding-0908.0050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-for-matrix-factorization-and-sparse-coding-0908.0050"/></url>
<url><loc>https://scifaro.com/en/abs/regret-bounds-for-opportunistic-channel-access-0908.0319</loc><lastmod>2009-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-bounds-for-opportunistic-channel-access-0908.0319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-bounds-for-opportunistic-channel-access-0908.0319"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-temporal-models-of-social-networks-0908.1258</loc><lastmod>2009-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-temporal-models-of-social-networks-0908.1258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-temporal-models-of-social-networks-0908.1258"/></url>
<url><loc>https://scifaro.com/en/abs/classification-by-set-cover-the-prototype-vector-machine-0908.2284</loc><lastmod>2009-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-by-set-cover-the-prototype-vector-machine-0908.2284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-by-set-cover-the-prototype-vector-machine-0908.2284"/></url>
<url><loc>https://scifaro.com/en/abs/convex-multiview-fisher-discriminant-analysis-0908.2579</loc><lastmod>2009-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-multiview-fisher-discriminant-analysis-0908.2579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-multiview-fisher-discriminant-analysis-0908.2579"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-canonical-correlation-analysis-0908.2724</loc><lastmod>2009-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-canonical-correlation-analysis-0908.2724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-canonical-correlation-analysis-0908.2724"/></url>
<url><loc>https://scifaro.com/en/abs/relative-expected-improvement-in-kriging-based-optimization-0908.3321</loc><lastmod>2009-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relative-expected-improvement-in-kriging-based-optimization-0908.3321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relative-expected-improvement-in-kriging-based-optimization-0908.3321"/></url>
<url><loc>https://scifaro.com/en/abs/the-optimal-unbiased-value-estimator-and-its-relation-to-lstd-td-and-mc-0908.3458</loc><lastmod>2009-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-optimal-unbiased-value-estimator-and-its-relation-to-lstd-td-and-mc-0908.3458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-optimal-unbiased-value-estimator-and-its-relation-to-lstd-td-and-mc-0908.3458"/></url>
<url><loc>https://scifaro.com/en/abs/learning-bayesian-networks-with-the-bnlearn-r-package-0908.3817</loc><lastmod>2010-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-bayesian-networks-with-the-bnlearn-r-package-0908.3817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-bayesian-networks-with-the-bnlearn-r-package-0908.3817"/></url>
<url><loc>https://scifaro.com/en/abs/geometry-of-the-restricted-boltzmann-machine-0908.4425</loc><lastmod>2009-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometry-of-the-restricted-boltzmann-machine-0908.4425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometry-of-the-restricted-boltzmann-machine-0908.4425"/></url>
<url><loc>https://scifaro.com/en/abs/kernels-for-measures-defined-on-the-gram-matrix-of-their-support-0909.0991</loc><lastmod>2009-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernels-for-measures-defined-on-the-gram-matrix-of-their-support-0909.0991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernels-for-measures-defined-on-the-gram-matrix-of-their-support-0909.0991"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-graphical-model-search-with-graphd-r-package-0909.1234</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-graphical-model-search-with-graphd-r-package-0909.1234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-graphical-model-search-with-graphd-r-package-0909.1234"/></url>
<url><loc>https://scifaro.com/en/abs/tree-guided-group-lasso-for-multi-response-regression-with-structured-sparsity-with-an-application-to-eqtl-mapping-0909.1373</loc><lastmod>2012-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tree-guided-group-lasso-for-multi-response-regression-with-structured-sparsity-with-an-application-to-eqtl-mapping-0909.1373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tree-guided-group-lasso-for-multi-response-regression-with-structured-sparsity-with-an-application-to-eqtl-mapping-0909.1373"/></url>
<url><loc>https://scifaro.com/en/abs/on-ranking-senators-by-their-votes-0909.1418</loc><lastmod>2009-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-ranking-senators-by-their-votes-0909.1418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-ranking-senators-by-their-votes-0909.1418"/></url>
<url><loc>https://scifaro.com/en/abs/structured-sparse-principal-component-analysis-0909.1440</loc><lastmod>2009-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-sparse-principal-component-analysis-0909.1440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-sparse-principal-component-analysis-0909.1440"/></url>
<url><loc>https://scifaro.com/en/abs/a-nonconformity-approach-to-model-selection-for-svms-0909.2332</loc><lastmod>2009-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-nonconformity-approach-to-model-selection-for-svms-0909.2332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-nonconformity-approach-to-model-selection-for-svms-0909.2332"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-based-on-pairwise-distances-when-the-data-is-of-mixed-dimensions-0909.2353</loc><lastmod>2009-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-based-on-pairwise-distances-when-the-data-is-of-mixed-dimensions-0909.2353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-based-on-pairwise-distances-when-the-data-is-of-mixed-dimensions-0909.2353"/></url>
<url><loc>https://scifaro.com/en/abs/computing-p-values-of-lingam-outputs-via-multiscale-bootstrap-0909.2904</loc><lastmod>2010-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-p-values-of-lingam-outputs-via-multiscale-bootstrap-0909.2904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-p-values-of-lingam-outputs-via-multiscale-bootstrap-0909.2904"/></url>
<url><loc>https://scifaro.com/en/abs/rumors-in-a-network-who-s-the-culprit-0909.4370</loc><lastmod>2010-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rumors-in-a-network-who-s-the-culprit-0909.4370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rumors-in-a-network-who-s-the-culprit-0909.4370"/></url>
<url><loc>https://scifaro.com/en/abs/telling-cause-from-effect-based-on-high-dimensional-observations-0909.4386</loc><lastmod>2009-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/telling-cause-from-effect-based-on-high-dimensional-observations-0909.4386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/telling-cause-from-effect-based-on-high-dimensional-observations-0909.4386"/></url>
<url><loc>https://scifaro.com/en/abs/initialization-free-graph-based-clustering-0909.4395</loc><lastmod>2009-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/initialization-free-graph-based-clustering-0909.4395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/initialization-free-graph-based-clustering-0909.4395"/></url>
<url><loc>https://scifaro.com/en/abs/spicymkl-0909.5026</loc><lastmod>2011-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spicymkl-0909.5026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spicymkl-0909.5026"/></url>
<url><loc>https://scifaro.com/en/abs/dirichlet-process-mixtures-of-generalized-linear-models-0909.5194</loc><lastmod>2010-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dirichlet-process-mixtures-of-generalized-linear-models-0909.5194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dirichlet-process-mixtures-of-generalized-linear-models-0909.5194"/></url>
<url><loc>https://scifaro.com/en/abs/learning-gaussian-tree-models-analysis-of-error-exponents-and-extremal-structures-0909.5216</loc><lastmod>2010-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-gaussian-tree-models-analysis-of-error-exponents-and-extremal-structures-0909.5216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-gaussian-tree-models-analysis-of-error-exponents-and-extremal-structures-0909.5216"/></url>
<url><loc>https://scifaro.com/en/abs/laplacian-support-vector-machines-trained-in-the-primal-0909.5422</loc><lastmod>2009-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/laplacian-support-vector-machines-trained-in-the-primal-0909.5422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/laplacian-support-vector-machines-trained-in-the-primal-0909.5422"/></url>
<url><loc>https://scifaro.com/en/abs/expectation-propagation-on-the-maximum-of-correlated-normal-variables-0910.0115</loc><lastmod>2009-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expectation-propagation-on-the-maximum-of-correlated-normal-variables-0910.0115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expectation-propagation-on-the-maximum-of-correlated-normal-variables-0910.0115"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-decision-making-for-authentication-and-intrusion-detection-0910.0483</loc><lastmod>2009-12-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-decision-making-for-authentication-and-intrusion-detection-0910.0483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-decision-making-for-authentication-and-intrusion-detection-0910.0483"/></url>
<url><loc>https://scifaro.com/en/abs/brainstorming-consensus-learning-in-practice-0910.0949</loc><lastmod>2016-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/brainstorming-consensus-learning-in-practice-0910.0949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/brainstorming-consensus-learning-in-practice-0910.0949"/></url>
<url><loc>https://scifaro.com/en/abs/functional-learning-through-kernels-0910.1013</loc><lastmod>2016-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-learning-through-kernels-0910.1013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-learning-through-kernels-0910.1013"/></url>
<url><loc>https://scifaro.com/en/abs/distance-dependent-chinese-restaurant-processes-0910.1022</loc><lastmod>2011-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distance-dependent-chinese-restaurant-processes-0910.1022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distance-dependent-chinese-restaurant-processes-0910.1022"/></url>
<url><loc>https://scifaro.com/en/abs/node-harvest-0910.2145</loc><lastmod>2011-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/node-harvest-0910.2145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/node-harvest-0910.2145"/></url>
<url><loc>https://scifaro.com/en/abs/a-stochastic-model-for-collaborative-recommendation-0910.2340</loc><lastmod>2009-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-stochastic-model-for-collaborative-recommendation-0910.2340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-stochastic-model-for-collaborative-recommendation-0910.2340"/></url>
<url><loc>https://scifaro.com/en/abs/sparsification-and-feature-selection-by-compressive-linear-regression-0910.4135</loc><lastmod>2015-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsification-and-feature-selection-by-compressive-linear-regression-0910.4135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsification-and-feature-selection-by-compressive-linear-regression-0910.4135"/></url>
<url><loc>https://scifaro.com/en/abs/the-geometry-of-generalized-binary-search-0910.4397</loc><lastmod>2013-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-geometry-of-generalized-binary-search-0910.4397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-geometry-of-generalized-binary-search-0910.4397"/></url>
<url><loc>https://scifaro.com/en/abs/on-approximation-of-smoothing-probabilities-for-hidden-markov-models-0910.4636</loc><lastmod>2011-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-approximation-of-smoothing-probabilities-for-hidden-markov-models-0910.4636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-approximation-of-smoothing-probabilities-for-hidden-markov-models-0910.4636"/></url>
<url><loc>https://scifaro.com/en/abs/distinguishing-cause-and-effect-via-second-order-exponential-models-0910.5561</loc><lastmod>2009-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distinguishing-cause-and-effect-via-second-order-exponential-models-0910.5561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distinguishing-cause-and-effect-via-second-order-exponential-models-0910.5561"/></url>
<url><loc>https://scifaro.com/en/abs/which-graphical-models-are-difficult-to-learn-0910.5761</loc><lastmod>2009-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/which-graphical-models-are-difficult-to-learn-0910.5761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/which-graphical-models-are-difficult-to-learn-0910.5761"/></url>
<url><loc>https://scifaro.com/en/abs/causal-inference-on-discrete-data-using-additive-noise-models-0911.0280</loc><lastmod>2012-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-inference-on-discrete-data-using-additive-noise-models-0911.0280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-inference-on-discrete-data-using-additive-noise-models-0911.0280"/></url>
<url><loc>https://scifaro.com/en/abs/kullback-leibler-aggregation-and-misspecified-generalized-linear-models-0911.2919</loc><lastmod>2012-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kullback-leibler-aggregation-and-misspecified-generalized-linear-models-0911.2919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kullback-leibler-aggregation-and-misspecified-generalized-linear-models-0911.2919"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-based-semi-supervised-model-selection-with-applications-to-speech-processing-0911.3944</loc><lastmod>2011-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-based-semi-supervised-model-selection-with-applications-to-speech-processing-0911.3944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-based-semi-supervised-model-selection-with-applications-to-speech-processing-0911.3944"/></url>
<url><loc>https://scifaro.com/en/abs/super-linear-convergence-of-dual-augmented-lagrangian-algorithm-for-sparsity-regularized-estimation-0911.4046</loc><lastmod>2011-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/super-linear-convergence-of-dual-augmented-lagrangian-algorithm-for-sparsity-regularized-estimation-0911.4046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/super-linear-convergence-of-dual-augmented-lagrangian-algorithm-for-sparsity-regularized-estimation-0911.4046"/></url>
<url><loc>https://scifaro.com/en/abs/how-slow-is-slow-sfa-detects-signals-that-are-slower-than-the-driving-force-0911.4397</loc><lastmod>2009-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-slow-is-slow-sfa-detects-signals-that-are-slower-than-the-driving-force-0911.4397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-slow-is-slow-sfa-detects-signals-that-are-slower-than-the-driving-force-0911.4397"/></url>
<url><loc>https://scifaro.com/en/abs/group-based-query-learning-for-rapid-diagnosis-in-time-critical-situations-0911.4511</loc><lastmod>2009-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-based-query-learning-for-rapid-diagnosis-in-time-critical-situations-0911.4511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-based-query-learning-for-rapid-diagnosis-in-time-critical-situations-0911.4511"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-convolved-multiple-output-gaussian-processes-0911.5107</loc><lastmod>2009-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-convolved-multiple-output-gaussian-processes-0911.5107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-convolved-multiple-output-gaussian-processes-0911.5107"/></url>
<url><loc>https://scifaro.com/en/abs/positive-definite-kernels-in-machine-learning-0911.5367</loc><lastmod>2009-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/positive-definite-kernels-in-machine-learning-0911.5367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/positive-definite-kernels-in-machine-learning-0911.5367"/></url>
<url><loc>https://scifaro.com/en/abs/penalized-likelihood-methods-for-estimation-of-sparse-high-dimensional-directed-acyclic-graphs-0911.5439</loc><lastmod>2009-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/penalized-likelihood-methods-for-estimation-of-sparse-high-dimensional-directed-acyclic-graphs-0911.5439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/penalized-likelihood-methods-for-estimation-of-sparse-high-dimensional-directed-acyclic-graphs-0911.5439"/></url>
<url><loc>https://scifaro.com/en/abs/an-iterative-algorithm-for-fitting-nonconvex-penalized-generalized-linear-models-with-grouped-predictors-0911.5460</loc><lastmod>2011-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-iterative-algorithm-for-fitting-nonconvex-penalized-generalized-linear-models-with-grouped-predictors-0911.5460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-iterative-algorithm-for-fitting-nonconvex-penalized-generalized-linear-models-with-grouped-predictors-0911.5460"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-empirical-bayes-analysis-seba-0911.5482</loc><lastmod>2016-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-empirical-bayes-analysis-seba-0911.5482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-empirical-bayes-analysis-seba-0911.5482"/></url>
<url><loc>https://scifaro.com/en/abs/under-determined-reverberant-audio-source-separation-using-a-full-rank-spatial-covariance-model-0912.0171</loc><lastmod>2009-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/under-determined-reverberant-audio-source-separation-using-a-full-rank-spatial-covariance-model-0912.0171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/under-determined-reverberant-audio-source-separation-using-a-full-rank-spatial-covariance-model-0912.0171"/></url>
<url><loc>https://scifaro.com/en/abs/qualitative-robustness-of-support-vector-machines-0912.0874</loc><lastmod>2011-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/qualitative-robustness-of-support-vector-machines-0912.0874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/qualitative-robustness-of-support-vector-machines-0912.0874"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-numeric-stability-of-the-sfa-implementation-sfa-tk-0912.1064</loc><lastmod>2009-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-numeric-stability-of-the-sfa-implementation-sfa-tk-0912.1064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-numeric-stability-of-the-sfa-implementation-sfa-tk-0912.1064"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-explain-individual-classification-decisions-0912.1128</loc><lastmod>2009-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-explain-individual-classification-decisions-0912.1128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-explain-individual-classification-decisions-0912.1128"/></url>
<url><loc>https://scifaro.com/en/abs/hyper-sparse-optimal-aggregation-0912.1618</loc><lastmod>2009-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyper-sparse-optimal-aggregation-0912.1618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyper-sparse-optimal-aggregation-0912.1618"/></url>
<url><loc>https://scifaro.com/en/abs/learning-an-interactive-segmentation-system-0912.2492</loc><lastmod>2009-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-an-interactive-segmentation-system-0912.2492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-an-interactive-segmentation-system-0912.2492"/></url>
<url><loc>https://scifaro.com/en/abs/condition-number-analysis-of-kernel-based-density-ratio-estimation-0912.2800</loc><lastmod>2009-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/condition-number-analysis-of-kernel-based-density-ratio-estimation-0912.2800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/condition-number-analysis-of-kernel-based-density-ratio-estimation-0912.2800"/></url>
<url><loc>https://scifaro.com/en/abs/multi-way-multi-view-learning-0912.3211</loc><lastmod>2009-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-way-multi-view-learning-0912.3211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-way-multi-view-learning-0912.3211"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inducing-kernels-for-sparse-convolved-multiple-output-gaussian-processes-0912.3268</loc><lastmod>2009-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inducing-kernels-for-sparse-convolved-multiple-output-gaussian-processes-0912.3268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inducing-kernels-for-sparse-convolved-multiple-output-gaussian-processes-0912.3268"/></url>
<url><loc>https://scifaro.com/en/abs/composite-binary-losses-0912.3301</loc><lastmod>2009-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/composite-binary-losses-0912.3301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/composite-binary-losses-0912.3301"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-construction-of-k-nearest-neighbor-graphs-for-identifying-noisy-clusters-0912.3408</loc><lastmod>2009-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-construction-of-k-nearest-neighbor-graphs-for-identifying-noisy-clusters-0912.3408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-construction-of-k-nearest-neighbor-graphs-for-identifying-noisy-clusters-0912.3408"/></url>
<url><loc>https://scifaro.com/en/abs/a-geometric-proof-of-calibration-0912.3604</loc><lastmod>2010-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-geometric-proof-of-calibration-0912.3604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-geometric-proof-of-calibration-0912.3604"/></url>
<url><loc>https://scifaro.com/en/abs/medlda-a-general-framework-of-maximum-margin-supervised-topic-models-0912.5507</loc><lastmod>2013-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/medlda-a-general-framework-of-maximum-margin-supervised-topic-models-0912.5507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/medlda-a-general-framework-of-maximum-margin-supervised-topic-models-0912.5507"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-structure-of-deep-sparse-graphical-models-1001.0160</loc><lastmod>2010-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-structure-of-deep-sparse-graphical-models-1001.0160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-structure-of-deep-sparse-graphical-models-1001.0160"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-for-matrix-completion-1001.0279</loc><lastmod>2010-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-for-matrix-completion-1001.0279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-for-matrix-completion-1001.0279"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-clustering-based-on-local-linear-approximations-1001.1323</loc><lastmod>2011-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-clustering-based-on-local-linear-approximations-1001.1323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-clustering-based-on-local-linear-approximations-1001.1323"/></url>
<url><loc>https://scifaro.com/en/abs/forest-density-estimation-1001.1557</loc><lastmod>2010-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forest-density-estimation-1001.1557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forest-density-estimation-1001.1557"/></url>
<url><loc>https://scifaro.com/en/abs/sparsity-accuracy-trade-off-in-mkl-1001.2615</loc><lastmod>2010-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsity-accuracy-trade-off-in-mkl-1001.2615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsity-accuracy-trade-off-in-mkl-1001.2615"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-bayesian-reduced-order-models-for-high-dimensional-multiscale-dynamical-systems-1001.2753</loc><lastmod>2016-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-bayesian-reduced-order-models-for-high-dimensional-multiscale-dynamical-systems-1001.2753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-bayesian-reduced-order-models-for-high-dimensional-multiscale-dynamical-systems-1001.2753"/></url>
<url><loc>https://scifaro.com/en/abs/increasing-stability-and-interpretability-of-gene-expression-signatures-1001.3109</loc><lastmod>2010-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/increasing-stability-and-interpretability-of-gene-expression-signatures-1001.3109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/increasing-stability-and-interpretability-of-gene-expression-signatures-1001.3109"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-for-queueing-networks-and-modeling-of-internet-services-1001.3355</loc><lastmod>2011-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-for-queueing-networks-and-modeling-of-internet-services-1001.3355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-for-queueing-networks-and-modeling-of-internet-services-1001.3355"/></url>
<url><loc>https://scifaro.com/en/abs/classifying-network-data-with-deep-kernel-machines-1001.4019</loc><lastmod>2010-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifying-network-data-with-deep-kernel-machines-1001.4019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifying-network-data-with-deep-kernel-machines-1001.4019"/></url>
<url><loc>https://scifaro.com/en/abs/classifying-the-typefaces-of-the-gutenberg-42-line-bible-1002.0140</loc><lastmod>2010-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifying-the-typefaces-of-the-gutenberg-42-line-bible-1002.0140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifying-the-typefaces-of-the-gutenberg-42-line-bible-1002.0140"/></url>
<url><loc>https://scifaro.com/en/abs/k-dimensional-coding-schemes-in-hilbert-spaces-1002.0832</loc><lastmod>2011-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-dimensional-coding-schemes-in-hilbert-spaces-1002.0832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-dimensional-coding-schemes-in-hilbert-spaces-1002.0832"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-based-signal-recovery-and-parameter-estimation-from-compressive-measurements-1002.1247</loc><lastmod>2010-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-based-signal-recovery-and-parameter-estimation-from-compressive-measurements-1002.1247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-based-signal-recovery-and-parameter-estimation-from-compressive-measurements-1002.1247"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-recovery-of-multiple-subspaces-in-point-clouds-by-geometric-lp-minimization-1002.1994</loc><lastmod>2012-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-recovery-of-multiple-subspaces-in-point-clouds-by-geometric-lp-minimization-1002.1994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-recovery-of-multiple-subspaces-in-point-clouds-by-geometric-lp-minimization-1002.1994"/></url>
<url><loc>https://scifaro.com/en/abs/operator-norm-convergence-of-spectral-clustering-on-level-sets-1002.2313</loc><lastmod>2010-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/operator-norm-convergence-of-spectral-clustering-on-level-sets-1002.2313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/operator-norm-convergence-of-spectral-clustering-on-level-sets-1002.2313"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-variable-selection-for-cox-s-proportional-hazards-model-1002.3315</loc><lastmod>2010-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-variable-selection-for-cox-s-proportional-hazards-model-1002.3315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-variable-selection-for-cox-s-proportional-hazards-model-1002.3315"/></url>
<url><loc>https://scifaro.com/en/abs/robust-independent-component-analysis-by-iterative-maximization-of-the-kurtosis-contrast-with-algebraic-optimal-step-size-1002.3684</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-independent-component-analysis-by-iterative-maximization-of-the-kurtosis-contrast-with-algebraic-optimal-step-size-1002.3684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-independent-component-analysis-by-iterative-maximization-of-the-kurtosis-contrast-with-algebraic-optimal-step-size-1002.3684"/></url>
<url><loc>https://scifaro.com/en/abs/plugin-procedure-in-segmentation-and-application-to-hyperspectral-image-segmentation-1002.3744</loc><lastmod>2010-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/plugin-procedure-in-segmentation-and-application-to-hyperspectral-image-segmentation-1002.3744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/plugin-procedure-in-segmentation-and-application-to-hyperspectral-image-segmentation-1002.3744"/></url>
<url><loc>https://scifaro.com/en/abs/query-learning-with-exponential-query-costs-1002.4019</loc><lastmod>2010-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/query-learning-with-exponential-query-costs-1002.4019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/query-learning-with-exponential-query-costs-1002.4019"/></url>
<url><loc>https://scifaro.com/en/abs/principal-component-analysis-with-contaminated-data-the-high-dimensional-case-1002.4658</loc><lastmod>2010-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principal-component-analysis-with-contaminated-data-the-high-dimensional-case-1002.4658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principal-component-analysis-with-contaminated-data-the-high-dimensional-case-1002.4658"/></url>
<url><loc>https://scifaro.com/en/abs/comment-on-fastest-learning-in-small-world-neural-networks-1003.0060</loc><lastmod>2010-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comment-on-fastest-learning-in-small-world-neural-networks-1003.0060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comment-on-fastest-learning-in-small-world-neural-networks-1003.0060"/></url>
<url><loc>https://scifaro.com/en/abs/security-analysis-of-online-centroid-anomaly-detection-1003.0078</loc><lastmod>2010-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/security-analysis-of-online-centroid-anomaly-detection-1003.0078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/security-analysis-of-online-centroid-anomaly-detection-1003.0078"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-topic-models-1003.0783</loc><lastmod>2010-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-topic-models-1003.0783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-topic-models-1003.0783"/></url>
<url><loc>https://scifaro.com/en/abs/universality-characteristic-kernels-and-rkhs-embedding-of-measures-1003.0887</loc><lastmod>2010-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universality-characteristic-kernels-and-rkhs-embedding-of-measures-1003.0887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universality-characteristic-kernels-and-rkhs-embedding-of-measures-1003.0887"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-r-enyi-entropy-and-mutual-information-based-on-generalized-nearest-neighbor-graphs-1003.1954</loc><lastmod>2010-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-r-enyi-entropy-and-mutual-information-based-on-generalized-nearest-neighbor-graphs-1003.1954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-r-enyi-entropy-and-mutual-information-based-on-generalized-nearest-neighbor-graphs-1003.1954"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-allocation-strategies-for-the-dark-pool-problem-1003.2245</loc><lastmod>2010-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-allocation-strategies-for-the-dark-pool-problem-1003.2245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-allocation-strategies-for-the-dark-pool-problem-1003.2245"/></url>
<url><loc>https://scifaro.com/en/abs/the-directed-closure-process-in-hybrid-social-information-networks-with-an-analysis-of-link-formation-on-twitter-1003.2469</loc><lastmod>2010-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-directed-closure-process-in-hybrid-social-information-networks-with-an-analysis-of-link-formation-on-twitter-1003.2469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-directed-closure-process-in-hybrid-social-information-networks-with-an-analysis-of-link-formation-on-twitter-1003.2469"/></url>
<url><loc>https://scifaro.com/en/abs/linear-time-feature-selection-for-regularized-least-squares-1003.3570</loc><lastmod>2010-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-time-feature-selection-for-regularized-least-squares-1003.3570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-time-feature-selection-for-regularized-least-squares-1003.3570"/></url>
<url><loc>https://scifaro.com/en/abs/resolution-and-scale-independent-function-matching-using-a-string-energy-penalized-spline-prior-1003.4741</loc><lastmod>2010-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resolution-and-scale-independent-function-matching-using-a-string-energy-penalized-spline-prior-1003.4741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resolution-and-scale-independent-function-matching-using-a-string-energy-penalized-spline-prior-1003.4741"/></url>
<url><loc>https://scifaro.com/en/abs/incorporating-side-information-in-probabilistic-matrix-factorization-with-gaussian-processes-1003.4944</loc><lastmod>2010-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incorporating-side-information-in-probabilistic-matrix-factorization-with-gaussian-processes-1003.4944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incorporating-side-information-in-probabilistic-matrix-factorization-with-gaussian-processes-1003.4944"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-schoenberg-transformations-in-data-analysis-theory-and-illustrations-1004.0089</loc><lastmod>2015-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-schoenberg-transformations-in-data-analysis-theory-and-illustrations-1004.0089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-schoenberg-transformations-in-data-analysis-theory-and-illustrations-1004.0089"/></url>
<url><loc>https://scifaro.com/en/abs/visualization-of-manifold-valued-elements-by-multidimensional-scaling-1004.0314</loc><lastmod>2013-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualization-of-manifold-valued-elements-by-multidimensional-scaling-1004.0314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualization-of-manifold-valued-elements-by-multidimensional-scaling-1004.0314"/></url>
<url><loc>https://scifaro.com/en/abs/exploratory-analysis-of-functional-data-via-clustering-and-optimal-segmentation-1004.0456</loc><lastmod>2010-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploratory-analysis-of-functional-data-via-clustering-and-optimal-segmentation-1004.0456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploratory-analysis-of-functional-data-via-clustering-and-optimal-segmentation-1004.0456"/></url>
<url><loc>https://scifaro.com/en/abs/algebraic-comparison-of-partial-lists-in-bioinformatics-1004.1341</loc><lastmod>2012-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algebraic-comparison-of-partial-lists-in-bioinformatics-1004.1341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algebraic-comparison-of-partial-lists-in-bioinformatics-1004.1341"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-comparative-study-of-approximate-methods-for-binary-graphical-models-application-to-the-search-of-associations-among-causes-of-death-in-french-death-certificates-1004.2287</loc><lastmod>2010-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-comparative-study-of-approximate-methods-for-binary-graphical-models-application-to-the-search-of-associations-among-causes-of-death-in-french-death-certificates-1004.2287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-comparative-study-of-approximate-methods-for-binary-graphical-models-application-to-the-search-of-associations-among-causes-of-death-in-french-death-certificates-1004.2287"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-graphical-model-selection-1004.2304</loc><lastmod>2010-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-graphical-model-selection-1004.2304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-graphical-model-selection-1004.2304"/></url>
<url><loc>https://scifaro.com/en/abs/strong-consistency-of-prototype-based-clustering-in-probabilistic-space-1004.3101</loc><lastmod>2010-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strong-consistency-of-prototype-based-clustering-in-probabilistic-space-1004.3101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strong-consistency-of-prototype-based-clustering-in-probabilistic-space-1004.3101"/></url>
<url><loc>https://scifaro.com/en/abs/many-to-many-graph-matching-a-continuous-relaxation-approach-1004.4965</loc><lastmod>2010-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/many-to-many-graph-matching-a-continuous-relaxation-approach-1004.4965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/many-to-many-graph-matching-a-continuous-relaxation-approach-1004.4965"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-classification-for-a-family-of-gaussian-functional-models-1004.5031</loc><lastmod>2010-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-classification-for-a-family-of-gaussian-functional-models-1004.5031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-classification-for-a-family-of-gaussian-functional-models-1004.5031"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-linear-identifiable-multivariate-modeling-1004.5265</loc><lastmod>2011-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-linear-identifiable-multivariate-modeling-1004.5265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-linear-identifiable-multivariate-modeling-1004.5265"/></url>
<url><loc>https://scifaro.com/en/abs/large-margin-multiclass-gaussian-classification-with-differential-privacy-1005.0063</loc><lastmod>2015-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-margin-multiclass-gaussian-classification-with-differential-privacy-1005.0063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-margin-multiclass-gaussian-classification-with-differential-privacy-1005.0063"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-a-random-forests-model-1005.0208</loc><lastmod>2012-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-a-random-forests-model-1005.0208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-a-random-forests-model-1005.0208"/></url>
<url><loc>https://scifaro.com/en/abs/a-unifying-view-of-multiple-kernel-learning-1005.0437</loc><lastmod>2010-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unifying-view-of-multiple-kernel-learning-1005.0437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unifying-view-of-multiple-kernel-learning-1005.0437"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-hidden-attributes-in-networks-1005.0794</loc><lastmod>2010-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-hidden-attributes-in-networks-1005.0794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-hidden-attributes-in-networks-1005.0794"/></url>
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<url><loc>https://scifaro.com/en/abs/introduction-to-graphical-modelling-1005.1036</loc><lastmod>2011-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introduction-to-graphical-modelling-1005.1036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introduction-to-graphical-modelling-1005.1036"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-johnson-lindenstrauss-lemma-1005.1440</loc><lastmod>2010-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-johnson-lindenstrauss-lemma-1005.1440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-johnson-lindenstrauss-lemma-1005.1440"/></url>
<url><loc>https://scifaro.com/en/abs/refinements-of-universal-approximation-results-for-deep-belief-networks-and-restricted-boltzmann-machines-1005.1593</loc><lastmod>2010-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/refinements-of-universal-approximation-results-for-deep-belief-networks-and-restricted-boltzmann-machines-1005.1593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/refinements-of-universal-approximation-results-for-deep-belief-networks-and-restricted-boltzmann-machines-1005.1593"/></url>
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<url><loc>https://scifaro.com/en/abs/landau-theory-of-adaptive-integration-in-computational-intelligence-1006.1828</loc><lastmod>2010-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/landau-theory-of-adaptive-integration-in-computational-intelligence-1006.1828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/landau-theory-of-adaptive-integration-in-computational-intelligence-1006.1828"/></url>
<url><loc>https://scifaro.com/en/abs/stability-approach-to-regularization-selection-stars-for-high-dimensional-graphical-models-1006.3316</loc><lastmod>2010-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-approach-to-regularization-selection-stars-for-high-dimensional-graphical-models-1006.3316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-approach-to-regularization-selection-stars-for-high-dimensional-graphical-models-1006.3316"/></url>
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<url><loc>https://scifaro.com/en/abs/heavy-tailed-processes-for-selective-shrinkage-1006.3901</loc><lastmod>2010-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heavy-tailed-processes-for-selective-shrinkage-1006.3901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heavy-tailed-processes-for-selective-shrinkage-1006.3901"/></url>
<url><loc>https://scifaro.com/en/abs/graph-valued-regression-1006.3972</loc><lastmod>2010-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-valued-regression-1006.3972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-valued-regression-1006.3972"/></url>
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<url><loc>https://scifaro.com/en/abs/discovering-graphical-granger-causality-using-the-truncating-lasso-penalty-1007.0499</loc><lastmod>2010-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-graphical-granger-causality-using-the-truncating-lasso-penalty-1007.0499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-graphical-granger-causality-using-the-truncating-lasso-penalty-1007.0499"/></url>
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<url><loc>https://scifaro.com/en/abs/clustering-stability-an-overview-1007.1075</loc><lastmod>2010-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-stability-an-overview-1007.1075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-stability-an-overview-1007.1075"/></url>
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<url><loc>https://scifaro.com/en/abs/directional-statistics-on-permutations-1007.2450</loc><lastmod>2010-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/directional-statistics-on-permutations-1007.2450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/directional-statistics-on-permutations-1007.2450"/></url>
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<url><loc>https://scifaro.com/en/abs/support-vector-machines-for-additive-models-consistency-and-robustness-1007.4062</loc><lastmod>2010-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/support-vector-machines-for-additive-models-consistency-and-robustness-1007.4062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/support-vector-machines-for-additive-models-consistency-and-robustness-1007.4062"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-detection-of-computer-generated-text-1008.0706</loc><lastmod>2010-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-detection-of-computer-generated-text-1008.0706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-detection-of-computer-generated-text-1008.0706"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-shared-and-individual-latent-structure-in-multiple-time-series-1008.2028</loc><lastmod>2010-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-shared-and-individual-latent-structure-in-multiple-time-series-1008.2028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-shared-and-individual-latent-structure-in-multiple-time-series-1008.2028"/></url>
<url><loc>https://scifaro.com/en/abs/faithfulness-in-chain-graphs-the-gaussian-case-1008.2277</loc><lastmod>2012-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faithfulness-in-chain-graphs-the-gaussian-case-1008.2277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faithfulness-in-chain-graphs-the-gaussian-case-1008.2277"/></url>
<url><loc>https://scifaro.com/en/abs/pmog-the-projected-mixture-of-gaussians-model-with-application-to-blind-source-separation-1008.2743</loc><lastmod>2010-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pmog-the-projected-mixture-of-gaussians-model-with-application-to-blind-source-separation-1008.2743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pmog-the-projected-mixture-of-gaussians-model-with-application-to-blind-source-separation-1008.2743"/></url>
<url><loc>https://scifaro.com/en/abs/a-unifying-view-for-performance-measures-in-multi-class-prediction-1008.2908</loc><lastmod>2012-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unifying-view-for-performance-measures-in-multi-class-prediction-1008.2908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unifying-view-for-performance-measures-in-multi-class-prediction-1008.2908"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-cw-ssim-kernel-based-nearest-neighbor-method-for-handwritten-digit-classification-1008.3951</loc><lastmod>2010-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-cw-ssim-kernel-based-nearest-neighbor-method-for-handwritten-digit-classification-1008.3951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-cw-ssim-kernel-based-nearest-neighbor-method-for-handwritten-digit-classification-1008.3951"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-induced-random-survival-forests-1008.3952</loc><lastmod>2010-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-induced-random-survival-forests-1008.3952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-induced-random-survival-forests-1008.3952"/></url>
<url><loc>https://scifaro.com/en/abs/entropy-based-search-algorithm-for-experimental-design-1008.4973</loc><lastmod>2015-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropy-based-search-algorithm-for-experimental-design-1008.4973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropy-based-search-algorithm-for-experimental-design-1008.4973"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-group-restricted-boltzmann-machines-1008.4988</loc><lastmod>2010-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-group-restricted-boltzmann-machines-1008.4988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-group-restricted-boltzmann-machines-1008.4988"/></url>
<url><loc>https://scifaro.com/en/abs/brain-covariance-selection-better-individual-functional-connectivity-models-using-population-prior-1008.5071</loc><lastmod>2010-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/brain-covariance-selection-better-individual-functional-connectivity-models-using-population-prior-1008.5071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/brain-covariance-selection-better-individual-functional-connectivity-models-using-population-prior-1008.5071"/></url>
<url><loc>https://scifaro.com/en/abs/union-support-recovery-in-multi-task-learning-1008.5211</loc><lastmod>2010-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/union-support-recovery-in-multi-task-learning-1008.5211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/union-support-recovery-in-multi-task-learning-1008.5211"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-cumulative-distribution-networks-1008.5386</loc><lastmod>2010-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-cumulative-distribution-networks-1008.5386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-cumulative-distribution-networks-1008.5386"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-covariance-estimation-based-on-gaussian-graphical-models-1009.0530</loc><lastmod>2012-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-covariance-estimation-based-on-gaussian-graphical-models-1009.0530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-covariance-estimation-based-on-gaussian-graphical-models-1009.0530"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-lower-bounds-on-the-oracle-complexity-of-stochastic-convex-optimization-1009.0571</loc><lastmod>2011-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-lower-bounds-on-the-oracle-complexity-of-stochastic-convex-optimization-1009.0571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-lower-bounds-on-the-oracle-complexity-of-stochastic-convex-optimization-1009.0571"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-estimation-of-coherence-1009.0861</loc><lastmod>2010-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-estimation-of-coherence-1009.0861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-estimation-of-coherence-1009.0861"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-an-organized-modularity-measure-for-topographic-graph-clustering-a-deterministic-annealing-approach-1009.1318</loc><lastmod>2010-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-an-organized-modularity-measure-for-topographic-graph-clustering-a-deterministic-annealing-approach-1009.1318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-an-organized-modularity-measure-for-topographic-graph-clustering-a-deterministic-annealing-approach-1009.1318"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-semi-markov-conditional-random-fields-for-recursive-sequential-data-1009.2009</loc><lastmod>2010-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-semi-markov-conditional-random-fields-for-recursive-sequential-data-1009.2009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-semi-markov-conditional-random-fields-for-recursive-sequential-data-1009.2009"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-methods-for-hierarchical-sparse-coding-1009.2139</loc><lastmod>2011-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-methods-for-hierarchical-sparse-coding-1009.2139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-methods-for-hierarchical-sparse-coding-1009.2139"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-bayesian-community-detection-using-non-negative-matrix-factorisation-1009.2646</loc><lastmod>2010-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-bayesian-community-detection-using-non-negative-matrix-factorisation-1009.2646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-bayesian-community-detection-using-non-negative-matrix-factorisation-1009.2646"/></url>
<url><loc>https://scifaro.com/en/abs/calibrated-surrogate-losses-for-classification-with-label-dependent-costs-1009.2718</loc><lastmod>2010-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrated-surrogate-losses-for-classification-with-label-dependent-costs-1009.2718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrated-surrogate-losses-for-classification-with-label-dependent-costs-1009.2718"/></url>
<url><loc>https://scifaro.com/en/abs/learning-latent-tree-graphical-models-1009.2722</loc><lastmod>2010-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-latent-tree-graphical-models-1009.2722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-latent-tree-graphical-models-1009.2722"/></url>
<url><loc>https://scifaro.com/en/abs/pair-wise-cluster-analysis-1009.3601</loc><lastmod>2010-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pair-wise-cluster-analysis-1009.3601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pair-wise-cluster-analysis-1009.3601"/></url>
<url><loc>https://scifaro.com/en/abs/fast-sparse-decomposition-by-iterative-detection-estimation-1009.3890</loc><lastmod>2010-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-sparse-decomposition-by-iterative-detection-estimation-1009.3890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-sparse-decomposition-by-iterative-detection-estimation-1009.3890"/></url>
<url><loc>https://scifaro.com/en/abs/task-driven-dictionary-learning-1009.5358</loc><lastmod>2013-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-driven-dictionary-learning-1009.5358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-driven-dictionary-learning-1009.5358"/></url>
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<url><loc>https://scifaro.com/en/abs/regularizers-for-structured-sparsity-1010.0556</loc><lastmod>2015-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularizers-for-structured-sparsity-1010.0556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularizers-for-structured-sparsity-1010.0556"/></url>
<url><loc>https://scifaro.com/en/abs/local-optimality-of-user-choices-and-collaborative-competitive-filtering-1010.0621</loc><lastmod>2011-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-optimality-of-user-choices-and-collaborative-competitive-filtering-1010.0621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-optimality-of-user-choices-and-collaborative-competitive-filtering-1010.0621"/></url>
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<url><loc>https://scifaro.com/en/abs/mixed-membership-stochastic-block-models-for-transactional-networks-1010.1437</loc><lastmod>2010-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-membership-stochastic-block-models-for-transactional-networks-1010.1437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-membership-stochastic-block-models-for-transactional-networks-1010.1437"/></url>
<url><loc>https://scifaro.com/en/abs/infinite-hierarchical-mmsb-model-for-nested-communities-groups-in-social-networks-1010.1868</loc><lastmod>2010-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infinite-hierarchical-mmsb-model-for-nested-communities-groups-in-social-networks-1010.1868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infinite-hierarchical-mmsb-model-for-nested-communities-groups-in-social-networks-1010.1868"/></url>
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<url><loc>https://scifaro.com/en/abs/exact-block-wise-optimization-in-group-lasso-and-sparse-group-lasso-for-linear-regression-1010.3320</loc><lastmod>2010-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-block-wise-optimization-in-group-lasso-and-sparse-group-lasso-for-linear-regression-1010.3320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-block-wise-optimization-in-group-lasso-and-sparse-group-lasso-for-linear-regression-1010.3320"/></url>
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<url><loc>https://scifaro.com/en/abs/f-divergence-estimation-and-two-sample-homogeneity-test-under-semiparametric-density-ratio-models-1010.4945</loc><lastmod>2010-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/f-divergence-estimation-and-two-sample-homogeneity-test-under-semiparametric-density-ratio-models-1010.4945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/f-divergence-estimation-and-two-sample-homogeneity-test-under-semiparametric-density-ratio-models-1010.4945"/></url>
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<url><loc>https://scifaro.com/en/abs/learning-planar-ising-models-1011.3494</loc><lastmod>2010-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-planar-ising-models-1011.3494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-planar-ising-models-1011.3494"/></url>
<url><loc>https://scifaro.com/en/abs/an-introduction-to-conditional-random-fields-1011.4088</loc><lastmod>2010-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-introduction-to-conditional-random-fields-1011.4088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-introduction-to-conditional-random-fields-1011.4088"/></url>
<url><loc>https://scifaro.com/en/abs/concentration-inequalities-of-the-cross-validation-estimate-for-stable-predictors-1011.5133</loc><lastmod>2010-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concentration-inequalities-of-the-cross-validation-estimate-for-stable-predictors-1011.5133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concentration-inequalities-of-the-cross-validation-estimate-for-stable-predictors-1011.5133"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-subagging-by-cross-validation-1011.5142</loc><lastmod>2010-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-subagging-by-cross-validation-1011.5142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-subagging-by-cross-validation-1011.5142"/></url>
<url><loc>https://scifaro.com/en/abs/classifying-clustering-schemes-1011.5270</loc><lastmod>2010-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifying-clustering-schemes-1011.5270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifying-clustering-schemes-1011.5270"/></url>
<url><loc>https://scifaro.com/en/abs/the-sample-complexity-of-dictionary-learning-1011.5395</loc><lastmod>2013-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-sample-complexity-of-dictionary-learning-1011.5395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-sample-complexity-of-dictionary-learning-1011.5395"/></url>
<url><loc>https://scifaro.com/en/abs/in-all-likelihood-deep-belief-is-not-enough-1011.6086</loc><lastmod>2012-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/in-all-likelihood-deep-belief-is-not-enough-1011.6086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/in-all-likelihood-deep-belief-is-not-enough-1011.6086"/></url>
<url><loc>https://scifaro.com/en/abs/a-road-to-classification-in-high-dimensional-space-1011.6095</loc><lastmod>2011-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-road-to-classification-in-high-dimensional-space-1011.6095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-road-to-classification-in-high-dimensional-space-1011.6095"/></url>
<url><loc>https://scifaro.com/en/abs/split-bregman-method-for-sparse-inverse-covariance-estimation-with-matrix-iteration-acceleration-1012.0975</loc><lastmod>2015-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/split-bregman-method-for-sparse-inverse-covariance-estimation-with-matrix-iteration-acceleration-1012.0975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/split-bregman-method-for-sparse-inverse-covariance-estimation-with-matrix-iteration-acceleration-1012.0975"/></url>
<url><loc>https://scifaro.com/en/abs/cross-domain-object-matching-with-model-selection-1012.1416</loc><lastmod>2010-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-domain-object-matching-with-model-selection-1012.1416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-domain-object-matching-with-model-selection-1012.1416"/></url>
<url><loc>https://scifaro.com/en/abs/translating-biomarkers-between-multi-way-time-series-experiments-1012.3407</loc><lastmod>2010-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/translating-biomarkers-between-multi-way-time-series-experiments-1012.3407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/translating-biomarkers-between-multi-way-time-series-experiments-1012.3407"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-parallel-tempering-for-stochastic-maximum-likelihood-learning-of-rbms-1012.3476</loc><lastmod>2010-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-parallel-tempering-for-stochastic-maximum-likelihood-learning-of-rbms-1012.3476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-parallel-tempering-for-stochastic-maximum-likelihood-learning-of-rbms-1012.3476"/></url>
<url><loc>https://scifaro.com/en/abs/fast-convergent-algorithms-for-expectation-propagation-approximate-bayesian-inference-1012.3584</loc><lastmod>2010-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-convergent-algorithms-for-expectation-propagation-approximate-bayesian-inference-1012.3584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-convergent-algorithms-for-expectation-propagation-approximate-bayesian-inference-1012.3584"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-networks-with-jumps-1012.3795</loc><lastmod>2010-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-networks-with-jumps-1012.3795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-networks-with-jumps-1012.3795"/></url>
<url><loc>https://scifaro.com/en/abs/ultra-high-dimensional-multiple-output-learning-with-simultaneous-orthogonal-matching-pursuit-a-sure-screening-approach-1012.3880</loc><lastmod>2010-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ultra-high-dimensional-multiple-output-learning-with-simultaneous-orthogonal-matching-pursuit-a-sure-screening-approach-1012.3880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ultra-high-dimensional-multiple-output-learning-with-simultaneous-orthogonal-matching-pursuit-a-sure-screening-approach-1012.3880"/></url>
<url><loc>https://scifaro.com/en/abs/lp-recovery-of-the-most-significant-subspace-among-multiple-subspaces-with-outliers-1012.4116</loc><lastmod>2015-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lp-recovery-of-the-most-significant-subspace-among-multiple-subspaces-with-outliers-1012.4116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lp-recovery-of-the-most-significant-subspace-among-multiple-subspaces-with-outliers-1012.4116"/></url>
<url><loc>https://scifaro.com/en/abs/ordinal-risk-group-classification-1012.5487</loc><lastmod>2011-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ordinal-risk-group-classification-1012.5487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ordinal-risk-group-classification-1012.5487"/></url>
<url><loc>https://scifaro.com/en/abs/bistatic-sar-atr-1101.0316</loc><lastmod>2011-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bistatic-sar-atr-1101.0316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bistatic-sar-atr-1101.0316"/></url>
<url><loc>https://scifaro.com/en/abs/generation-of-sar-image-for-real-life-objects-using-general-purpose-em-simulators-1101.0317</loc><lastmod>2011-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generation-of-sar-image-for-real-life-objects-using-general-purpose-em-simulators-1101.0317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generation-of-sar-image-for-real-life-objects-using-general-purpose-em-simulators-1101.0317"/></url>
<url><loc>https://scifaro.com/en/abs/autoregressive-kernels-for-time-series-1101.0673</loc><lastmod>2011-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoregressive-kernels-for-time-series-1101.0673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoregressive-kernels-for-time-series-1101.0673"/></url>
<url><loc>https://scifaro.com/en/abs/sparsity-regret-bounds-for-individual-sequences-in-online-linear-regression-1101.1057</loc><lastmod>2013-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsity-regret-bounds-for-individual-sequences-in-online-linear-regression-1101.1057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsity-regret-bounds-for-individual-sequences-in-online-linear-regression-1101.1057"/></url>
<url><loc>https://scifaro.com/en/abs/finding-consensus-bayesian-network-structures-1101.1715</loc><lastmod>2015-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-consensus-bayesian-network-structures-1101.1715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-consensus-bayesian-network-structures-1101.1715"/></url>
<url><loc>https://scifaro.com/en/abs/directlingam-a-direct-method-for-learning-a-linear-non-gaussian-structural-equation-model-1101.2489</loc><lastmod>2011-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/directlingam-a-direct-method-for-learning-a-linear-non-gaussian-structural-equation-model-1101.2489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/directlingam-a-direct-method-for-learning-a-linear-non-gaussian-structural-equation-model-1101.2489"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-rates-of-efficient-global-optimization-algorithms-1101.3501</loc><lastmod>2013-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-rates-of-efficient-global-optimization-algorithms-1101.3501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-rates-of-efficient-global-optimization-algorithms-1101.3501"/></url>
<url><loc>https://scifaro.com/en/abs/reproducing-kernel-banach-spaces-with-the-l1-norm-1101.4388</loc><lastmod>2015-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reproducing-kernel-banach-spaces-with-the-l1-norm-1101.4388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reproducing-kernel-banach-spaces-with-the-l1-norm-1101.4388"/></url>
<url><loc>https://scifaro.com/en/abs/reproducing-kernel-banach-spaces-with-the-l1-norm-ii-error-analysis-for-regularized-least-square-regression-1101.4439</loc><lastmod>2011-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reproducing-kernel-banach-spaces-with-the-l1-norm-ii-error-analysis-for-regularized-least-square-regression-1101.4439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reproducing-kernel-banach-spaces-with-the-l1-norm-ii-error-analysis-for-regularized-least-square-regression-1101.4439"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-network-structure-learning-with-permutation-tests-1101.5184</loc><lastmod>2012-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-network-structure-learning-with-permutation-tests-1101.5184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-network-structure-learning-with-permutation-tests-1101.5184"/></url>
<url><loc>https://scifaro.com/en/abs/an-analysis-of-the-convergence-of-graph-laplacians-1101.5435</loc><lastmod>2011-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-analysis-of-the-convergence-of-graph-laplacians-1101.5435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-analysis-of-the-convergence-of-graph-laplacians-1101.5435"/></url>
<url><loc>https://scifaro.com/en/abs/dependency-detection-with-similarity-constraints-1101.5919</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dependency-detection-with-similarity-constraints-1101.5919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dependency-detection-with-similarity-constraints-1101.5919"/></url>
<url><loc>https://scifaro.com/en/abs/a-convex-model-for-non-negative-matrix-factorization-and-dimensionality-reduction-on-physical-space-1102.0844</loc><lastmod>2015-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convex-model-for-non-negative-matrix-factorization-and-dimensionality-reduction-on-physical-space-1102.0844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convex-model-for-non-negative-matrix-factorization-and-dimensionality-reduction-on-physical-space-1102.0844"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-correlation-screening-1102.1204</loc><lastmod>2015-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-correlation-screening-1102.1204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-correlation-screening-1102.1204"/></url>
<url><loc>https://scifaro.com/en/abs/an-introduction-to-artificial-prediction-markets-for-classification-1102.1465</loc><lastmod>2015-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-introduction-to-artificial-prediction-markets-for-classification-1102.1465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-introduction-to-artificial-prediction-markets-for-classification-1102.1465"/></url>
<url><loc>https://scifaro.com/en/abs/on-nonparametric-guidance-for-learning-autoencoder-representations-1102.1492</loc><lastmod>2011-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-nonparametric-guidance-for-learning-autoencoder-representations-1102.1492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-nonparametric-guidance-for-learning-autoencoder-representations-1102.1492"/></url>
<url><loc>https://scifaro.com/en/abs/how-the-result-of-graph-clustering-methods-depends-on-the-construction-of-the-graph-1102.2075</loc><lastmod>2011-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-the-result-of-graph-clustering-methods-depends-on-the-construction-of-the-graph-1102.2075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-the-result-of-graph-clustering-methods-depends-on-the-construction-of-the-graph-1102.2075"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-completion-with-column-manipulation-near-optimal-sample-robustness-rank-tradeoffs-1102.2254</loc><lastmod>2016-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-completion-with-column-manipulation-near-optimal-sample-robustness-rank-tradeoffs-1102.2254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-completion-with-column-manipulation-near-optimal-sample-robustness-rank-tradeoffs-1102.2254"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-signal-recovery-with-temporally-correlated-source-vectors-using-sparse-bayesian-learning-1102.3949</loc><lastmod>2011-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-signal-recovery-with-temporally-correlated-source-vectors-using-sparse-bayesian-learning-1102.3949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-signal-recovery-with-temporally-correlated-source-vectors-using-sparse-bayesian-learning-1102.3949"/></url>
<url><loc>https://scifaro.com/en/abs/submodular-meets-spectral-greedy-algorithms-for-subset-selection-sparse-approximation-and-dictionary-selection-1102.3975</loc><lastmod>2011-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/submodular-meets-spectral-greedy-algorithms-for-subset-selection-sparse-approximation-and-dictionary-selection-1102.3975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/submodular-meets-spectral-greedy-algorithms-for-subset-selection-sparse-approximation-and-dictionary-selection-1102.3975"/></url>
<url><loc>https://scifaro.com/en/abs/joint-and-individual-variation-explained-jive-for-integrated-analysis-of-multiple-data-types-1102.4110</loc><lastmod>2013-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-and-individual-variation-explained-jive-for-integrated-analysis-of-multiple-data-types-1102.4110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-and-individual-variation-explained-jive-for-integrated-analysis-of-multiple-data-types-1102.4110"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-active-set-selection-methods-for-gaussian-processes-1102.4548</loc><lastmod>2011-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-active-set-selection-methods-for-gaussian-processes-1102.4548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-active-set-selection-methods-for-gaussian-processes-1102.4548"/></url>
<url><loc>https://scifaro.com/en/abs/noisy-matrix-decomposition-via-convex-relaxation-optimal-rates-in-high-dimensions-1102.4807</loc><lastmod>2012-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisy-matrix-decomposition-via-convex-relaxation-optimal-rates-in-high-dimensions-1102.4807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisy-matrix-decomposition-via-convex-relaxation-optimal-rates-in-high-dimensions-1102.4807"/></url>
<url><loc>https://scifaro.com/en/abs/fast-inference-of-interactions-in-assemblies-of-stochastic-integrate-and-fire-neurons-from-spike-recordings-1102.5171</loc><lastmod>2011-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-inference-of-interactions-in-assemblies-of-stochastic-integrate-and-fire-neurons-from-spike-recordings-1102.5171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-inference-of-interactions-in-assemblies-of-stochastic-integrate-and-fire-neurons-from-spike-recordings-1102.5171"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-bayesian-methods-for-low-rank-matrix-estimation-1102.5288</loc><lastmod>2011-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-bayesian-methods-for-low-rank-matrix-estimation-1102.5288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-bayesian-methods-for-low-rank-matrix-estimation-1102.5288"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-analysis-of-the-human-transcriptome-with-side-information-1102.5509</loc><lastmod>2011-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-analysis-of-the-human-transcriptome-with-side-information-1102.5509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-analysis-of-the-human-transcriptome-with-side-information-1102.5509"/></url>
<url><loc>https://scifaro.com/en/abs/neyman-pearson-classification-convexity-and-stochastic-constraints-1102.5750</loc><lastmod>2011-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neyman-pearson-classification-convexity-and-stochastic-constraints-1102.5750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neyman-pearson-classification-convexity-and-stochastic-constraints-1102.5750"/></url>
<url><loc>https://scifaro.com/en/abs/fast-convergence-rate-of-multiple-kernel-learning-with-elastic-net-regularization-1103.0431</loc><lastmod>2011-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-convergence-rate-of-multiple-kernel-learning-with-elastic-net-regularization-1103.0431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-convergence-rate-of-multiple-kernel-learning-with-elastic-net-regularization-1103.0431"/></url>
<url><loc>https://scifaro.com/en/abs/the-local-rademacher-complexity-of-lp-norm-multiple-kernel-learning-1103.0790</loc><lastmod>2011-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-local-rademacher-complexity-of-lp-norm-multiple-kernel-learning-1103.0790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-local-rademacher-complexity-of-lp-norm-multiple-kernel-learning-1103.0790"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-kernel-learning-a-unifying-probabilistic-viewpoint-1103.0897</loc><lastmod>2012-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-kernel-learning-a-unifying-probabilistic-viewpoint-1103.0897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-kernel-learning-a-unifying-probabilistic-viewpoint-1103.0897"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-beta-mixing-coefficients-1103.0941</loc><lastmod>2022-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-beta-mixing-coefficients-1103.0941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-beta-mixing-coefficients-1103.0941"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-error-bounds-for-stationary-autoregressive-models-1103.0942</loc><lastmod>2011-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-error-bounds-for-stationary-autoregressive-models-1103.0942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-error-bounds-for-stationary-autoregressive-models-1103.0942"/></url>
<url><loc>https://scifaro.com/en/abs/adapting-to-non-stationarity-with-growing-expert-ensembles-1103.0949</loc><lastmod>2011-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapting-to-non-stationarity-with-growing-expert-ensembles-1103.0949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapting-to-non-stationarity-with-growing-expert-ensembles-1103.0949"/></url>
<url><loc>https://scifaro.com/en/abs/a-kernel-approach-to-tractable-bayesian-nonparametrics-1103.1761</loc><lastmod>2011-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-kernel-approach-to-tractable-bayesian-nonparametrics-1103.1761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-kernel-approach-to-tractable-bayesian-nonparametrics-1103.1761"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-mixture-models-for-asset-returns-modelling-1103.2670</loc><lastmod>2011-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-mixture-models-for-asset-returns-modelling-1103.2670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-mixture-models-for-asset-returns-modelling-1103.2670"/></url>
<url><loc>https://scifaro.com/en/abs/a-nonparametric-frequency-domain-em-algorithm-for-time-series-classification-with-applications-to-spike-sorting-and-macro-economics-1103.3300</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-nonparametric-frequency-domain-em-algorithm-for-time-series-classification-with-applications-to-spike-sorting-and-macro-economics-1103.3300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-nonparametric-frequency-domain-em-algorithm-for-time-series-classification-with-applications-to-spike-sorting-and-macro-economics-1103.3300"/></url>
<url><loc>https://scifaro.com/en/abs/additive-kernels-for-gaussian-process-modeling-1103.4023</loc><lastmod>2011-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/additive-kernels-for-gaussian-process-modeling-1103.4023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/additive-kernels-for-gaussian-process-modeling-1103.4023"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-properties-of-the-overlapping-groups-lasso-1103.4614</loc><lastmod>2011-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-properties-of-the-overlapping-groups-lasso-1103.4614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-properties-of-the-overlapping-groups-lasso-1103.4614"/></url>
<url><loc>https://scifaro.com/en/abs/the-discrete-infinite-logistic-normal-distribution-1103.4789</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-discrete-infinite-logistic-normal-distribution-1103.4789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-discrete-infinite-logistic-normal-distribution-1103.4789"/></url>
<url><loc>https://scifaro.com/en/abs/sufficient-component-analysis-for-supervised-dimension-reduction-1103.4998</loc><lastmod>2011-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sufficient-component-analysis-for-supervised-dimension-reduction-1103.4998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sufficient-component-analysis-for-supervised-dimension-reduction-1103.4998"/></url>
<url><loc>https://scifaro.com/en/abs/sharp-convergence-rate-and-support-consistency-of-multiple-kernel-learning-with-sparse-and-dense-regularization-1103.5201</loc><lastmod>2011-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sharp-convergence-rate-and-support-consistency-of-multiple-kernel-learning-with-sparse-and-dense-regularization-1103.5201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sharp-convergence-rate-and-support-consistency-of-multiple-kernel-learning-with-sparse-and-dense-regularization-1103.5201"/></url>
<url><loc>https://scifaro.com/en/abs/fast-learning-rate-of-lp-mkl-and-its-minimax-optimality-1103.5202</loc><lastmod>2011-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-learning-rate-of-lp-mkl-and-its-minimax-optimality-1103.5202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-learning-rate-of-lp-mkl-and-its-minimax-optimality-1103.5202"/></url>
<url><loc>https://scifaro.com/en/abs/least-squares-independence-regression-for-non-linear-causal-inference-under-non-gaussian-noise-1103.5537</loc><lastmod>2011-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/least-squares-independence-regression-for-non-linear-causal-inference-under-non-gaussian-noise-1103.5537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/least-squares-independence-regression-for-non-linear-causal-inference-under-non-gaussian-noise-1103.5537"/></url>
<url><loc>https://scifaro.com/en/abs/auto-associative-models-nonlinear-principal-component-analysis-manifolds-and-projection-pursuit-1103.6119</loc><lastmod>2011-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auto-associative-models-nonlinear-principal-component-analysis-manifolds-and-projection-pursuit-1103.6119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auto-associative-models-nonlinear-principal-component-analysis-manifolds-and-projection-pursuit-1103.6119"/></url>
<url><loc>https://scifaro.com/en/abs/robust-nonparametric-regression-via-sparsity-control-with-application-to-load-curve-data-cleansing-1104.0455</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-nonparametric-regression-via-sparsity-control-with-application-to-load-curve-data-cleansing-1104.0455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-nonparametric-regression-via-sparsity-control-with-application-to-load-curve-data-cleansing-1104.0455"/></url>
<url><loc>https://scifaro.com/en/abs/on-identifying-significant-edges-in-graphical-models-of-molecular-networks-1104.0896</loc><lastmod>2013-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-identifying-significant-edges-in-graphical-models-of-molecular-networks-1104.0896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-identifying-significant-edges-in-graphical-models-of-molecular-networks-1104.0896"/></url>
<url><loc>https://scifaro.com/en/abs/planar-cycle-covering-graphs-1104.1204</loc><lastmod>2011-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/planar-cycle-covering-graphs-1104.1204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/planar-cycle-covering-graphs-1104.1204"/></url>
<url><loc>https://scifaro.com/en/abs/unified-treatment-of-hidden-markov-switching-models-1104.1992</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unified-treatment-of-hidden-markov-switching-models-1104.1992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unified-treatment-of-hidden-markov-switching-models-1104.1992"/></url>
<url><loc>https://scifaro.com/en/abs/distance-transform-gradient-density-estimation-using-the-stationary-phase-approximation-1104.3621</loc><lastmod>2013-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distance-transform-gradient-density-estimation-using-the-stationary-phase-approximation-1104.3621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distance-transform-gradient-density-estimation-using-the-stationary-phase-approximation-1104.3621"/></url>
<url><loc>https://scifaro.com/en/abs/robust-recovery-of-multiple-subspaces-by-geometric-l-p-minimization-1104.3770</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-recovery-of-multiple-subspaces-by-geometric-l-p-minimization-1104.3770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-recovery-of-multiple-subspaces-by-geometric-l-p-minimization-1104.3770"/></url>
<url><loc>https://scifaro.com/en/abs/a-sufficient-condition-on-monotonic-increase-of-the-number-of-nonzero-entry-in-the-optimizer-of-l1-norm-penalized-least-square-problem-1104.3792</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sufficient-condition-on-monotonic-increase-of-the-number-of-nonzero-entry-in-the-optimizer-of-l1-norm-penalized-least-square-problem-1104.3792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sufficient-condition-on-monotonic-increase-of-the-number-of-nonzero-entry-in-the-optimizer-of-l1-norm-penalized-least-square-problem-1104.3792"/></url>
<url><loc>https://scifaro.com/en/abs/robust-clustering-using-outlier-sparsity-regularization-1104.4512</loc><lastmod>2015-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-clustering-using-outlier-sparsity-regularization-1104.4512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-clustering-using-outlier-sparsity-regularization-1104.4512"/></url>
<url><loc>https://scifaro.com/en/abs/scaled-sparse-linear-regression-1104.4595</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaled-sparse-linear-regression-1104.4595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaled-sparse-linear-regression-1104.4595"/></url>
<url><loc>https://scifaro.com/en/abs/compressive-network-analysis-1104.4605</loc><lastmod>2011-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressive-network-analysis-1104.4605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressive-network-analysis-1104.4605"/></url>
<url><loc>https://scifaro.com/en/abs/fast-global-convergence-of-gradient-methods-for-high-dimensional-statistical-recovery-1104.4824</loc><lastmod>2012-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-global-convergence-of-gradient-methods-for-high-dimensional-statistical-recovery-1104.4824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-global-convergence-of-gradient-methods-for-high-dimensional-statistical-recovery-1104.4824"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-stochastic-and-constrained-adversaries-1104.5070</loc><lastmod>2011-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-stochastic-and-constrained-adversaries-1104.5070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-stochastic-and-constrained-adversaries-1104.5070"/></url>
<url><loc>https://scifaro.com/en/abs/finding-dense-clusters-via-low-rank-sparse-decomposition-1104.5186</loc><lastmod>2011-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-dense-clusters-via-low-rank-sparse-decomposition-1104.5186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-dense-clusters-via-low-rank-sparse-decomposition-1104.5186"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-reweighted-algorithms-for-sparse-signal-recovery-with-temporally-correlated-source-vectors-1104.5280</loc><lastmod>2011-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-reweighted-algorithms-for-sparse-signal-recovery-with-temporally-correlated-source-vectors-1104.5280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-reweighted-algorithms-for-sparse-signal-recovery-with-temporally-correlated-source-vectors-1104.5280"/></url>
<url><loc>https://scifaro.com/en/abs/joint-estimation-of-linear-non-gaussian-acyclic-models-1104.5341</loc><lastmod>2011-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-estimation-of-linear-non-gaussian-acyclic-models-1104.5341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-estimation-of-linear-non-gaussian-acyclic-models-1104.5341"/></url>
<url><loc>https://scifaro.com/en/abs/preference-elicitation-and-inverse-reinforcement-learning-1104.5687</loc><lastmod>2011-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preference-elicitation-and-inverse-reinforcement-learning-1104.5687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preference-elicitation-and-inverse-reinforcement-learning-1104.5687"/></url>
<url><loc>https://scifaro.com/en/abs/seraph-semi-supervised-metric-learning-paradigm-with-hyper-sparsity-1105.0167</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seraph-semi-supervised-metric-learning-paradigm-with-hyper-sparsity-1105.0167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seraph-semi-supervised-metric-learning-paradigm-with-hyper-sparsity-1105.0167"/></url>
<url><loc>https://scifaro.com/en/abs/multi-scale-mining-of-fmri-data-with-hierarchical-structured-sparsity-1105.0363</loc><lastmod>2011-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-scale-mining-of-fmri-data-with-hierarchical-structured-sparsity-1105.0363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-scale-mining-of-fmri-data-with-hierarchical-structured-sparsity-1105.0363"/></url>
<url><loc>https://scifaro.com/en/abs/pruning-nearest-neighbor-cluster-trees-1105.0540</loc><lastmod>2011-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pruning-nearest-neighbor-cluster-trees-1105.0540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pruning-nearest-neighbor-cluster-trees-1105.0540"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bayes-approach-for-model-aggregation-in-unsupervised-classification-with-markovian-dependency-1105.0760</loc><lastmod>2011-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayes-approach-for-model-aggregation-in-unsupervised-classification-with-markovian-dependency-1105.0760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayes-approach-for-model-aggregation-in-unsupervised-classification-with-markovian-dependency-1105.0760"/></url>
<url><loc>https://scifaro.com/en/abs/a-risk-comparison-of-ordinary-least-squares-vs-ridge-regression-1105.0875</loc><lastmod>2013-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-risk-comparison-of-ordinary-least-squares-vs-ridge-regression-1105.0875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-risk-comparison-of-ordinary-least-squares-vs-ridge-regression-1105.0875"/></url>
<url><loc>https://scifaro.com/en/abs/order-preserving-factor-analysis-opfa-1105.1758</loc><lastmod>2011-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/order-preserving-factor-analysis-opfa-1105.1758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/order-preserving-factor-analysis-opfa-1105.1758"/></url>
<url><loc>https://scifaro.com/en/abs/feedback-message-passing-for-inference-in-gaussian-graphical-models-1105.1853</loc><lastmod>2015-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feedback-message-passing-for-inference-in-gaussian-graphical-models-1105.1853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feedback-message-passing-for-inference-in-gaussian-graphical-models-1105.1853"/></url>
<url><loc>https://scifaro.com/en/abs/closed-form-em-for-sparse-coding-and-its-application-to-source-separation-1105.2493</loc><lastmod>2012-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/closed-form-em-for-sparse-coding-and-its-application-to-source-separation-1105.2493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/closed-form-em-for-sparse-coding-and-its-application-to-source-separation-1105.2493"/></url>
<url><loc>https://scifaro.com/en/abs/bounds-on-the-bayes-error-given-moments-1105.2952</loc><lastmod>2012-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounds-on-the-bayes-error-given-moments-1105.2952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounds-on-the-bayes-error-given-moments-1105.2952"/></url>
<url><loc>https://scifaro.com/en/abs/independent-screening-for-single-index-hazard-rate-models-with-ultra-high-dimensional-features-1105.3361</loc><lastmod>2011-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/independent-screening-for-single-index-hazard-rate-models-with-ultra-high-dimensional-features-1105.3361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/independent-screening-for-single-index-hazard-rate-models-with-ultra-high-dimensional-features-1105.3361"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-and-optimal-online-linear-regression-on-ell-1-balls-1105.4042</loc><lastmod>2019-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-and-optimal-online-linear-regression-on-ell-1-balls-1105.4042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-and-optimal-online-linear-regression-on-ell-1-balls-1105.4042"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-policies-for-combinatorial-prediction-games-1105.4871</loc><lastmod>2011-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-policies-for-combinatorial-prediction-games-1105.4871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-policies-for-combinatorial-prediction-games-1105.4871"/></url>
<url><loc>https://scifaro.com/en/abs/multidimensional-scaling-in-the-poincare-disk-1105.5332</loc><lastmod>2016-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multidimensional-scaling-in-the-poincare-disk-1105.5332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multidimensional-scaling-in-the-poincare-disk-1105.5332"/></url>
<url><loc>https://scifaro.com/en/abs/pac-learnability-under-non-atomic-measures-a-problem-by-vidyasagar-1105.5669</loc><lastmod>2013-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-learnability-under-non-atomic-measures-a-problem-by-vidyasagar-1105.5669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-learnability-under-non-atomic-measures-a-problem-by-vidyasagar-1105.5669"/></url>
<url><loc>https://scifaro.com/en/abs/restricted-collapsed-draw-accurate-sampling-for-hierarchical-chinese-restaurant-process-hidden-markov-models-1106.0474</loc><lastmod>2011-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/restricted-collapsed-draw-accurate-sampling-for-hierarchical-chinese-restaurant-process-hidden-markov-models-1106.0474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/restricted-collapsed-draw-accurate-sampling-for-hierarchical-chinese-restaurant-process-hidden-markov-models-1106.0474"/></url>
<url><loc>https://scifaro.com/en/abs/multi-stage-convex-relaxation-for-feature-selection-1106.0565</loc><lastmod>2011-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-stage-convex-relaxation-for-feature-selection-1106.0565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-stage-convex-relaxation-for-feature-selection-1106.0565"/></url>
<url><loc>https://scifaro.com/en/abs/rademacher-complexity-of-stationary-sequences-1106.0730</loc><lastmod>2017-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rademacher-complexity-of-stationary-sequences-1106.0730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rademacher-complexity-of-stationary-sequences-1106.0730"/></url>
<url><loc>https://scifaro.com/en/abs/causal-network-inference-via-group-sparse-regularization-1106.0762</loc><lastmod>2015-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-network-inference-via-group-sparse-regularization-1106.0762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-network-inference-via-group-sparse-regularization-1106.0762"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-reinforcement-learning-for-gaussian-systems-1106.0800</loc><lastmod>2015-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-reinforcement-learning-for-gaussian-systems-1106.0800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-reinforcement-learning-for-gaussian-systems-1106.0800"/></url>
<url><loc>https://scifaro.com/en/abs/hashing-algorithms-for-large-scale-learning-1106.0967</loc><lastmod>2011-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hashing-algorithms-for-large-scale-learning-1106.0967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hashing-algorithms-for-large-scale-learning-1106.0967"/></url>
<url><loc>https://scifaro.com/en/abs/moment-based-estimation-of-stochastic-kronecker-graph-parameters-1106.1674</loc><lastmod>2011-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moment-based-estimation-of-stochastic-kronecker-graph-parameters-1106.1674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moment-based-estimation-of-stochastic-kronecker-graph-parameters-1106.1674"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-via-sinkhorn-propagation-1106.1925</loc><lastmod>2011-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-via-sinkhorn-propagation-1106.1925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-via-sinkhorn-propagation-1106.1925"/></url>
<url><loc>https://scifaro.com/en/abs/fast-linear-time-hierarchical-clustering-using-the-baire-metric-1106.2229</loc><lastmod>2014-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-linear-time-hierarchical-clustering-using-the-baire-metric-1106.2229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-linear-time-hierarchical-clustering-using-the-baire-metric-1106.2229"/></url>
<url><loc>https://scifaro.com/en/abs/source-separation-and-clustering-of-phase-locked-subspaces-derivations-and-proofs-1106.2474</loc><lastmod>2011-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/source-separation-and-clustering-of-phase-locked-subspaces-derivations-and-proofs-1106.2474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/source-separation-and-clustering-of-phase-locked-subspaces-derivations-and-proofs-1106.2474"/></url>
<url><loc>https://scifaro.com/en/abs/pitman-yor-diffusion-trees-1106.2494</loc><lastmod>2011-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pitman-yor-diffusion-trees-1106.2494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pitman-yor-diffusion-trees-1106.2494"/></url>
<url><loc>https://scifaro.com/en/abs/a-tutorial-on-bayesian-nonparametric-models-1106.2697</loc><lastmod>2011-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tutorial-on-bayesian-nonparametric-models-1106.2697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tutorial-on-bayesian-nonparametric-models-1106.2697"/></url>
<url><loc>https://scifaro.com/en/abs/anova-kernels-and-rkhs-of-zero-mean-functions-for-model-based-sensitivity-analysis-1106.3571</loc><lastmod>2012-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anova-kernels-and-rkhs-of-zero-mean-functions-for-model-based-sensitivity-analysis-1106.3571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anova-kernels-and-rkhs-of-zero-mean-functions-for-model-based-sensitivity-analysis-1106.3571"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-multitask-inverse-reinforcement-learning-1106.3655</loc><lastmod>2012-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-multitask-inverse-reinforcement-learning-1106.3655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-multitask-inverse-reinforcement-learning-1106.3655"/></url>
<url><loc>https://scifaro.com/en/abs/dimensionally-constrained-symbolic-regression-1106.3834</loc><lastmod>2011-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimensionally-constrained-symbolic-regression-1106.3834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimensionally-constrained-symbolic-regression-1106.3834"/></url>
<url><loc>https://scifaro.com/en/abs/large-vector-auto-regressions-1106.3915</loc><lastmod>2011-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-vector-auto-regressions-1106.3915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-vector-auto-regressions-1106.3915"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-large-spatial-covariance-matrix-estimation-in-application-to-semiparametric-model-construction-via-variable-clustering-the-sce-approach-1106.3921</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-large-spatial-covariance-matrix-estimation-in-application-to-semiparametric-model-construction-via-variable-clustering-the-sce-approach-1106.3921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-large-spatial-covariance-matrix-estimation-in-application-to-semiparametric-model-construction-via-variable-clustering-the-sce-approach-1106.3921"/></url>
<url><loc>https://scifaro.com/en/abs/online-algorithms-for-nonnegative-matrix-factorization-with-the-itakura-saito-divergence-1106.4198</loc><lastmod>2011-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-algorithms-for-nonnegative-matrix-factorization-with-the-itakura-saito-divergence-1106.4198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-algorithms-for-nonnegative-matrix-factorization-with-the-itakura-saito-divergence-1106.4198"/></url>
<url><loc>https://scifaro.com/en/abs/residual-component-analysis-1106.4333</loc><lastmod>2011-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/residual-component-analysis-1106.4333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/residual-component-analysis-1106.4333"/></url>
<url><loc>https://scifaro.com/en/abs/tight-measurement-bounds-for-exact-recovery-of-structured-sparse-signals-1106.4355</loc><lastmod>2011-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-measurement-bounds-for-exact-recovery-of-structured-sparse-signals-1106.4355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-measurement-bounds-for-exact-recovery-of-structured-sparse-signals-1106.4355"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-regression-with-a-student-t-likelihood-1106.4431</loc><lastmod>2012-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-regression-with-a-student-t-likelihood-1106.4431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-regression-with-a-student-t-likelihood-1106.4431"/></url>
<url><loc>https://scifaro.com/en/abs/natural-evolution-strategies-1106.4487</loc><lastmod>2011-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/natural-evolution-strategies-1106.4487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/natural-evolution-strategies-1106.4487"/></url>
<url><loc>https://scifaro.com/en/abs/relative-density-ratio-estimation-for-robust-distribution-comparison-1106.4729</loc><lastmod>2011-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relative-density-ratio-estimation-for-robust-distribution-comparison-1106.4729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relative-density-ratio-estimation-for-robust-distribution-comparison-1106.4729"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-inverse-covariance-estimation-via-an-adaptive-gradient-based-method-1106.5175</loc><lastmod>2011-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-inverse-covariance-estimation-via-an-adaptive-gradient-based-method-1106.5175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-inverse-covariance-estimation-via-an-adaptive-gradient-based-method-1106.5175"/></url>
<url><loc>https://scifaro.com/en/abs/kernels-for-vector-valued-functions-a-review-1106.6251</loc><lastmod>2012-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernels-for-vector-valued-functions-a-review-1106.6251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernels-for-vector-valued-functions-a-review-1106.6251"/></url>
<url><loc>https://scifaro.com/en/abs/on-a-rapid-simulation-of-the-dirichlet-process-1107.0521</loc><lastmod>2012-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-a-rapid-simulation-of-the-dirichlet-process-1107.0521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-a-rapid-simulation-of-the-dirichlet-process-1107.0521"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-structure-estimation-in-ising-models-local-separation-criterion-1107.1736</loc><lastmod>2012-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-structure-estimation-in-ising-models-local-separation-criterion-1107.1736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-structure-estimation-in-ising-models-local-separation-criterion-1107.1736"/></url>
<url><loc>https://scifaro.com/en/abs/loss-sensitive-training-of-probabilistic-conditional-random-fields-1107.1805</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loss-sensitive-training-of-probabilistic-conditional-random-fields-1107.1805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loss-sensitive-training-of-probabilistic-conditional-random-fields-1107.1805"/></url>
<url><loc>https://scifaro.com/en/abs/bsvm-a-banded-suport-vector-machine-1107.2347</loc><lastmod>2011-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bsvm-a-banded-suport-vector-machine-1107.2347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bsvm-a-banded-suport-vector-machine-1107.2347"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-topic-models-for-multi-label-document-classification-1107.2462</loc><lastmod>2011-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-topic-models-for-multi-label-document-classification-1107.2462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-topic-models-for-multi-label-document-classification-1107.2462"/></url>
<url><loc>https://scifaro.com/en/abs/linear-latent-force-models-using-gaussian-processes-1107.2699</loc><lastmod>2020-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-latent-force-models-using-gaussian-processes-1107.2699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-latent-force-models-using-gaussian-processes-1107.2699"/></url>
<url><loc>https://scifaro.com/en/abs/robust-kernel-density-estimation-1107.3133</loc><lastmod>2011-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-kernel-density-estimation-1107.3133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-kernel-density-estimation-1107.3133"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-k-nearest-neighbor-regression-1107.3600</loc><lastmod>2011-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-k-nearest-neighbor-regression-1107.3600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-k-nearest-neighbor-regression-1107.3600"/></url>
<url><loc>https://scifaro.com/en/abs/edit-wars-in-wikipedia-1107.3689</loc><lastmod>2023-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edit-wars-in-wikipedia-1107.3689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edit-wars-in-wikipedia-1107.3689"/></url>
<url><loc>https://scifaro.com/en/abs/finding-non-overlapping-clusters-for-generalized-inference-over-graphical-models-1107.4067</loc><lastmod>2013-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-non-overlapping-clusters-for-generalized-inference-over-graphical-models-1107.4067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-non-overlapping-clusters-for-generalized-inference-over-graphical-models-1107.4067"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-approximations-in-machine-learning-1107.4340</loc><lastmod>2011-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-approximations-in-machine-learning-1107.4340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-approximations-in-machine-learning-1107.4340"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-averaging-1107.4390</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-averaging-1107.4390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-averaging-1107.4390"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-of-anytime-bandit-policies-1107.4506</loc><lastmod>2011-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-of-anytime-bandit-policies-1107.4506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-of-anytime-bandit-policies-1107.4506"/></url>
<url><loc>https://scifaro.com/en/abs/variational-gaussian-process-dynamical-systems-1107.4985</loc><lastmod>2011-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-gaussian-process-dynamical-systems-1107.4985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-gaussian-process-dynamical-systems-1107.4985"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-evaluation-criterions-for-the-active-learning-processes-1108.0453</loc><lastmod>2011-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-evaluation-criterions-for-the-active-learning-processes-1108.0453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-evaluation-criterions-for-the-active-learning-processes-1108.0453"/></url>
<url><loc>https://scifaro.com/en/abs/accurate-estimators-for-improving-minwise-hashing-and-b-bit-minwise-hashing-1108.0895</loc><lastmod>2011-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accurate-estimators-for-improving-minwise-hashing-and-b-bit-minwise-hashing-1108.0895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accurate-estimators-for-improving-minwise-hashing-and-b-bit-minwise-hashing-1108.0895"/></url>
<url><loc>https://scifaro.com/en/abs/algebraic-geometric-comparison-of-probability-distributions-1108.1483</loc><lastmod>2013-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algebraic-geometric-comparison-of-probability-distributions-1108.1483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algebraic-geometric-comparison-of-probability-distributions-1108.1483"/></url>
<url><loc>https://scifaro.com/en/abs/activized-learning-transforming-passive-to-active-with-improved-label-complexity-1108.1766</loc><lastmod>2011-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/activized-learning-transforming-passive-to-active-with-improved-label-complexity-1108.1766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/activized-learning-transforming-passive-to-active-with-improved-label-complexity-1108.1766"/></url>
<url><loc>https://scifaro.com/en/abs/an-application-of-the-stationary-phase-method-for-estimating-probability-densities-of-function-derivatives-1108.1783</loc><lastmod>2013-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-application-of-the-stationary-phase-method-for-estimating-probability-densities-of-function-derivatives-1108.1783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-application-of-the-stationary-phase-method-for-estimating-probability-densities-of-function-derivatives-1108.1783"/></url>
<url><loc>https://scifaro.com/en/abs/a-consistent-adjacency-spectral-embedding-for-stochastic-blockmodel-graphs-1108.2228</loc><lastmod>2012-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-consistent-adjacency-spectral-embedding-for-stochastic-blockmodel-graphs-1108.2228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-consistent-adjacency-spectral-embedding-for-stochastic-blockmodel-graphs-1108.2228"/></url>
<url><loc>https://scifaro.com/en/abs/a-theory-of-multiclass-boosting-1108.2989</loc><lastmod>2011-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theory-of-multiclass-boosting-1108.2989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theory-of-multiclass-boosting-1108.2989"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-and-comparison-of-strategies-for-multi-step-ahead-time-series-forecasting-based-on-the-nn5-forecasting-competition-1108.3259</loc><lastmod>2011-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-and-comparison-of-strategies-for-multi-step-ahead-time-series-forecasting-based-on-the-nn5-forecasting-competition-1108.3259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-and-comparison-of-strategies-for-multi-step-ahead-time-series-forecasting-based-on-the-nn5-forecasting-competition-1108.3259"/></url>
<url><loc>https://scifaro.com/en/abs/overlapping-mixtures-of-gaussian-processes-for-the-data-association-problem-1108.3372</loc><lastmod>2011-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overlapping-mixtures-of-gaussian-processes-for-the-data-association-problem-1108.3372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overlapping-mixtures-of-gaussian-processes-for-the-data-association-problem-1108.3372"/></url>
<url><loc>https://scifaro.com/en/abs/exact-covariance-thresholding-into-connected-components-for-large-scale-graphical-lasso-1108.3829</loc><lastmod>2011-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-covariance-thresholding-into-connected-components-for-large-scale-graphical-lasso-1108.3829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-covariance-thresholding-into-connected-components-for-large-scale-graphical-lasso-1108.3829"/></url>
<url><loc>https://scifaro.com/en/abs/simulation-based-optimal-bayesian-experimental-design-for-nonlinear-systems-1108.4146</loc><lastmod>2012-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulation-based-optimal-bayesian-experimental-design-for-nonlinear-systems-1108.4146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulation-based-optimal-bayesian-experimental-design-for-nonlinear-systems-1108.4146"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-estimation-using-bayesian-hierarchical-prior-modeling-for-real-and-complex-linear-models-1108.4324</loc><lastmod>2015-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-estimation-using-bayesian-hierarchical-prior-modeling-for-real-and-complex-linear-models-1108.4324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-estimation-using-bayesian-hierarchical-prior-modeling-for-real-and-complex-linear-models-1108.4324"/></url>
<url><loc>https://scifaro.com/en/abs/using-supervised-learning-to-improve-monte-carlo-integral-estimation-1108.4879</loc><lastmod>2011-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-supervised-learning-to-improve-monte-carlo-integral-estimation-1108.4879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-supervised-learning-to-improve-monte-carlo-integral-estimation-1108.4879"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-theory-of-concave-regularization-for-high-dimensional-sparse-estimation-problems-1108.4988</loc><lastmod>2012-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-theory-of-concave-regularization-for-high-dimensional-sparse-estimation-problems-1108.4988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-theory-of-concave-regularization-for-high-dimensional-sparse-estimation-problems-1108.4988"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-logistic-discrimination-via-labeled-data-and-unlabeled-data-from-different-sampling-distributions-1108.5244</loc><lastmod>2014-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-logistic-discrimination-via-labeled-data-and-unlabeled-data-from-different-sampling-distributions-1108.5244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-logistic-discrimination-via-labeled-data-and-unlabeled-data-from-different-sampling-distributions-1108.5244"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-peptide-bonding-affinity-kernel-methods-for-nonlinear-modeling-1108.5397</loc><lastmod>2011-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-peptide-bonding-affinity-kernel-methods-for-nonlinear-modeling-1108.5397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-peptide-bonding-affinity-kernel-methods-for-nonlinear-modeling-1108.5397"/></url>
<url><loc>https://scifaro.com/en/abs/dimension-reduction-using-rule-ensemble-machine-learning-methods-a-numerical-study-of-three-ensemble-methods-1108.6094</loc><lastmod>2011-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimension-reduction-using-rule-ensemble-machine-learning-methods-a-numerical-study-of-three-ensemble-methods-1108.6094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimension-reduction-using-rule-ensemble-machine-learning-methods-a-numerical-study-of-three-ensemble-methods-1108.6094"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-based-kernel-dimension-reduction-for-supervised-learning-1109.0455</loc><lastmod>2011-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-based-kernel-dimension-reduction-for-supervised-learning-1109.0455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-based-kernel-dimension-reduction-for-supervised-learning-1109.0455"/></url>
<url><loc>https://scifaro.com/en/abs/variable-selection-in-high-dimensions-with-random-designs-and-orthogonal-matching-pursuit-1109.0730</loc><lastmod>2011-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-selection-in-high-dimensions-with-random-designs-and-orthogonal-matching-pursuit-1109.0730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-selection-in-high-dimensions-with-random-designs-and-orthogonal-matching-pursuit-1109.0730"/></url>
<url><loc>https://scifaro.com/en/abs/learning-nonlinear-functions-using-regularized-greedy-forest-1109.0887</loc><lastmod>2014-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-nonlinear-functions-using-regularized-greedy-forest-1109.0887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-nonlinear-functions-using-regularized-greedy-forest-1109.0887"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-link-prediction-in-large-scale-dynamic-networks-1109.1077</loc><lastmod>2013-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-link-prediction-in-large-scale-dynamic-networks-1109.1077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-link-prediction-in-large-scale-dynamic-networks-1109.1077"/></url>
<url><loc>https://scifaro.com/en/abs/modern-hierarchical-agglomerative-clustering-algorithms-1109.2378</loc><lastmod>2011-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modern-hierarchical-agglomerative-clustering-algorithms-1109.2378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modern-hierarchical-agglomerative-clustering-algorithms-1109.2378"/></url>
<url><loc>https://scifaro.com/en/abs/nominal-association-vector-and-matrix-1109.2553</loc><lastmod>2012-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nominal-association-vector-and-matrix-1109.2553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nominal-association-vector-and-matrix-1109.2553"/></url>
<url><loc>https://scifaro.com/en/abs/mixtures-of-conditional-gaussian-scale-mixtures-applied-to-multiscale-image-representations-1109.4389</loc><lastmod>2012-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixtures-of-conditional-gaussian-scale-mixtures-applied-to-multiscale-image-representations-1109.4389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixtures-of-conditional-gaussian-scale-mixtures-applied-to-multiscale-image-representations-1109.4389"/></url>
<url><loc>https://scifaro.com/en/abs/towards-optimal-learning-of-chain-graphs-1109.5404</loc><lastmod>2011-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-optimal-learning-of-chain-graphs-1109.5404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-optimal-learning-of-chain-graphs-1109.5404"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-probabilistic-models-for-melodic-sequences-1109.6804</loc><lastmod>2011-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-probabilistic-models-for-melodic-sequences-1109.6804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-probabilistic-models-for-melodic-sequences-1109.6804"/></url>
<url><loc>https://scifaro.com/en/abs/group-lasso-with-overlaps-the-latent-group-lasso-approach-1110.0413</loc><lastmod>2011-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-lasso-with-overlaps-the-latent-group-lasso-approach-1110.0413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-lasso-with-overlaps-the-latent-group-lasso-approach-1110.0413"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-relationships-between-drugs-and-medical-conditions-winning-experience-in-the-challenge-2-of-the-omop-2010-cup-1110.0641</loc><lastmod>2011-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-relationships-between-drugs-and-medical-conditions-winning-experience-in-the-challenge-2-of-the-omop-2010-cup-1110.0641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-relationships-between-drugs-and-medical-conditions-winning-experience-in-the-challenge-2-of-the-omop-2010-cup-1110.0641"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-trade-off-between-complexity-and-correlation-decay-in-structural-learning-algorithms-1110.1769</loc><lastmod>2011-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-trade-off-between-complexity-and-correlation-decay-in-structural-learning-algorithms-1110.1769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-trade-off-between-complexity-and-correlation-decay-in-structural-learning-algorithms-1110.1769"/></url>
<url><loc>https://scifaro.com/en/abs/ground-metric-learning-1110.2306</loc><lastmod>2014-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ground-metric-learning-1110.2306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ground-metric-learning-1110.2306"/></url>
<url><loc>https://scifaro.com/en/abs/the-generalization-ability-of-online-algorithms-for-dependent-data-1110.2529</loc><lastmod>2012-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-generalization-ability-of-online-algorithms-for-dependent-data-1110.2529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-generalization-ability-of-online-algorithms-for-dependent-data-1110.2529"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-emerging-topics-in-social-streams-via-link-anomaly-detection-1110.2899</loc><lastmod>2011-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-emerging-topics-in-social-streams-via-link-anomaly-detection-1110.2899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-emerging-topics-in-social-streams-via-link-anomaly-detection-1110.2899"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-latent-variable-graphical-model-selection-via-split-bregman-method-1110.3076</loc><lastmod>2011-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-latent-variable-graphical-model-selection-via-split-bregman-method-1110.3076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-latent-variable-graphical-model-selection-via-split-bregman-method-1110.3076"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-group-factor-analysis-1110.3204</loc><lastmod>2014-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-group-factor-analysis-1110.3204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-group-factor-analysis-1110.3204"/></url>
<url><loc>https://scifaro.com/en/abs/aoso-logitboost-adaptive-one-vs-one-logitboost-for-multi-class-problem-1110.3907</loc><lastmod>2012-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aoso-logitboost-adaptive-one-vs-one-logitboost-for-multi-class-problem-1110.3907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aoso-logitboost-adaptive-one-vs-one-logitboost-for-multi-class-problem-1110.3907"/></url>
<url><loc>https://scifaro.com/en/abs/k-nn-regression-adapts-to-local-intrinsic-dimension-1110.4300</loc><lastmod>2011-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-nn-regression-adapts-to-local-intrinsic-dimension-1110.4300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-nn-regression-adapts-to-local-intrinsic-dimension-1110.4300"/></url>
<url><loc>https://scifaro.com/en/abs/readouts-for-echo-state-networks-built-using-locally-regularized-orthogonal-forward-regression-1110.4304</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/readouts-for-echo-state-networks-built-using-locally-regularized-orthogonal-forward-regression-1110.4304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/readouts-for-echo-state-networks-built-using-locally-regularized-orthogonal-forward-regression-1110.4304"/></url>
<url><loc>https://scifaro.com/en/abs/is-the-k-nn-classifier-in-high-dimensions-affected-by-the-curse-of-dimensionality-1110.4347</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-the-k-nn-classifier-in-high-dimensions-affected-by-the-curse-of-dimensionality-1110.4347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-the-k-nn-classifier-in-high-dimensions-affected-by-the-curse-of-dimensionality-1110.4347"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-regression-networks-1110.4411</loc><lastmod>2011-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-regression-networks-1110.4411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-regression-networks-1110.4411"/></url>
<url><loc>https://scifaro.com/en/abs/regression-for-sets-of-polynomial-equations-1110.4531</loc><lastmod>2013-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regression-for-sets-of-polynomial-equations-1110.4531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regression-for-sets-of-polynomial-equations-1110.4531"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-gaussian-process-models-1110.5238</loc><lastmod>2011-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-gaussian-process-models-1110.5238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-gaussian-process-models-1110.5238"/></url>
<url><loc>https://scifaro.com/en/abs/quilting-stochastic-kronecker-product-graphs-to-generate-multiplicative-attribute-graphs-1110.5383</loc><lastmod>2012-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quilting-stochastic-kronecker-product-graphs-to-generate-multiplicative-attribute-graphs-1110.5383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quilting-stochastic-kronecker-product-graphs-to-generate-multiplicative-attribute-graphs-1110.5383"/></url>
<url><loc>https://scifaro.com/en/abs/distance-dependent-infinite-latent-feature-models-1110.5454</loc><lastmod>2012-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distance-dependent-infinite-latent-feature-models-1110.5454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distance-dependent-infinite-latent-feature-models-1110.5454"/></url>
<url><loc>https://scifaro.com/en/abs/a-flexible-scalable-and-efficient-algorithmic-framework-for-primal-graphical-lasso-1110.5508</loc><lastmod>2011-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-flexible-scalable-and-efficient-algorithmic-framework-for-primal-graphical-lasso-1110.5508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-flexible-scalable-and-efficient-algorithmic-framework-for-primal-graphical-lasso-1110.5508"/></url>
<url><loc>https://scifaro.com/en/abs/structural-similarity-and-distance-in-learning-1110.5847</loc><lastmod>2011-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structural-similarity-and-distance-in-learning-1110.5847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structural-similarity-and-distance-in-learning-1110.5847"/></url>
<url><loc>https://scifaro.com/en/abs/the-adaboost-flow-1110.6228</loc><lastmod>2013-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-adaboost-flow-1110.6228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-adaboost-flow-1110.6228"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-hedge-1110.6416</loc><lastmod>2015-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-hedge-1110.6416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-hedge-1110.6416"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-marginal-likelihood-computation-for-gaussian-process-regression-1110.6546</loc><lastmod>2011-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-marginal-likelihood-computation-for-gaussian-process-regression-1110.6546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-marginal-likelihood-computation-for-gaussian-process-regression-1110.6546"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-causal-induction-1111.0708</loc><lastmod>2011-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-causal-induction-1111.0708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-causal-induction-1111.0708"/></url>
<url><loc>https://scifaro.com/en/abs/discriminant-analysis-with-adaptively-pooled-covariance-1111.1687</loc><lastmod>2011-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminant-analysis-with-adaptively-pooled-covariance-1111.1687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminant-analysis-with-adaptively-pooled-covariance-1111.1687"/></url>
<url><loc>https://scifaro.com/en/abs/upal-unbiased-pool-based-active-learning-1111.1784</loc><lastmod>2011-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/upal-unbiased-pool-based-active-learning-1111.1784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/upal-unbiased-pool-based-active-learning-1111.1784"/></url>
<url><loc>https://scifaro.com/en/abs/robust-pca-as-bilinear-decomposition-with-outlier-sparsity-regularization-1111.1788</loc><lastmod>2013-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-pca-as-bilinear-decomposition-with-outlier-sparsity-regularization-1111.1788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-pca-as-bilinear-decomposition-with-outlier-sparsity-regularization-1111.1788"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-scale-functions-to-model-heteroscedasticity-by-support-vector-machines-1111.1830</loc><lastmod>2011-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-scale-functions-to-model-heteroscedasticity-by-support-vector-machines-1111.1830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-scale-functions-to-model-heteroscedasticity-by-support-vector-machines-1111.1830"/></url>
<url><loc>https://scifaro.com/en/abs/the-theory-and-application-of-penalized-methods-or-reproducing-kernel-hilbert-spaces-made-easy-1111.1915</loc><lastmod>2011-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-theory-and-application-of-penalized-methods-or-reproducing-kernel-hilbert-spaces-made-easy-1111.1915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-theory-and-application-of-penalized-methods-or-reproducing-kernel-hilbert-spaces-made-easy-1111.1915"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-the-lack-of-symmetry-in-the-graphical-lasso-1111.2667</loc><lastmod>2012-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-the-lack-of-symmetry-in-the-graphical-lasso-1111.2667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-the-lack-of-symmetry-in-the-graphical-lasso-1111.2667"/></url>
<url><loc>https://scifaro.com/en/abs/estimated-vc-dimension-for-risk-bounds-1111.3404</loc><lastmod>2011-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimated-vc-dimension-for-risk-bounds-1111.3404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimated-vc-dimension-for-risk-bounds-1111.3404"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-joint-entropy-and-information-based-collaboration-of-automated-learning-machines-1111.3421</loc><lastmod>2015-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-joint-entropy-and-information-based-collaboration-of-automated-learning-machines-1111.3421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-joint-entropy-and-information-based-collaboration-of-automated-learning-machines-1111.3421"/></url>
<url><loc>https://scifaro.com/en/abs/fast-learning-rate-of-non-sparse-multiple-kernel-learning-and-optimal-regularization-strategies-1111.3781</loc><lastmod>2011-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-learning-rate-of-non-sparse-multiple-kernel-learning-and-optimal-regularization-strategies-1111.3781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-learning-rate-of-non-sparse-multiple-kernel-learning-and-optimal-regularization-strategies-1111.3781"/></url>
<url><loc>https://scifaro.com/en/abs/krylov-subspace-descent-for-deep-learning-1111.4259</loc><lastmod>2011-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/krylov-subspace-descent-for-deep-learning-1111.4259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/krylov-subspace-descent-for-deep-learning-1111.4259"/></url>
<url><loc>https://scifaro.com/en/abs/the-graphical-lasso-new-insights-and-alternatives-1111.5479</loc><lastmod>2012-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-graphical-lasso-new-insights-and-alternatives-1111.5479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-graphical-lasso-new-insights-and-alternatives-1111.5479"/></url>
<url><loc>https://scifaro.com/en/abs/falsification-and-future-performance-1111.5648</loc><lastmod>2011-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/falsification-and-future-performance-1111.5648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/falsification-and-future-performance-1111.5648"/></url>
<url><loc>https://scifaro.com/en/abs/receiver-architectures-for-mimo-ofdm-based-on-a-combined-vmp-sp-algorithm-1111.5848</loc><lastmod>2011-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/receiver-architectures-for-mimo-ofdm-based-on-a-combined-vmp-sp-algorithm-1111.5848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/receiver-architectures-for-mimo-ofdm-based-on-a-combined-vmp-sp-algorithm-1111.5848"/></url>
<url><loc>https://scifaro.com/en/abs/on-l-1-mean-and-variance-filtering-1111.5948</loc><lastmod>2011-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-l-1-mean-and-variance-filtering-1111.5948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-l-1-mean-and-variance-filtering-1111.5948"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-relevance-determination-in-nonnegative-matrix-factorization-with-the-beta-divergence-1111.6085</loc><lastmod>2012-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-relevance-determination-in-nonnegative-matrix-factorization-with-the-beta-divergence-1111.6085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-relevance-determination-in-nonnegative-matrix-factorization-with-the-beta-divergence-1111.6085"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-exponential-bounds-on-the-accuracy-of-classification-1111.6160</loc><lastmod>2011-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-exponential-bounds-on-the-accuracy-of-classification-1111.6160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-exponential-bounds-on-the-accuracy-of-classification-1111.6160"/></url>
<url><loc>https://scifaro.com/en/abs/additive-covariance-kernels-for-high-dimensional-gaussian-process-modeling-1111.6233</loc><lastmod>2012-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/additive-covariance-kernels-for-high-dimensional-gaussian-process-modeling-1111.6233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/additive-covariance-kernels-for-high-dimensional-gaussian-process-modeling-1111.6233"/></url>
<url><loc>https://scifaro.com/en/abs/fast-linear-time-m-adic-hierarchical-clustering-for-search-and-retrieval-using-the-baire-metric-with-linkages-to-generalized-ultrametrics-hashing-formal-concept-analysis-and-precision-of-data-measurement-1111.6254</loc><lastmod>2016-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-linear-time-m-adic-hierarchical-clustering-for-search-and-retrieval-using-the-baire-metric-with-linkages-to-generalized-ultrametrics-hashing-formal-concept-analysis-and-precision-of-data-measurement-1111.6254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-linear-time-m-adic-hierarchical-clustering-for-search-and-retrieval-using-the-baire-metric-with-linkages-to-generalized-ultrametrics-hashing-formal-concept-analysis-and-precision-of-data-measurement-1111.6254"/></url>
<url><loc>https://scifaro.com/en/abs/ward-s-hierarchical-clustering-method-clustering-criterion-and-agglomerative-algorithm-1111.6285</loc><lastmod>2016-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ward-s-hierarchical-clustering-method-clustering-criterion-and-agglomerative-algorithm-1111.6285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ward-s-hierarchical-clustering-method-clustering-criterion-and-agglomerative-algorithm-1111.6285"/></url>
<url><loc>https://scifaro.com/en/abs/a-kernel-based-framework-for-learning-graded-relations-from-data-1111.6473</loc><lastmod>2024-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-kernel-based-framework-for-learning-graded-relations-from-data-1111.6473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-kernel-based-framework-for-learning-graded-relations-from-data-1111.6473"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-probabilities-and-expectation-propagation-1111.6832</loc><lastmod>2013-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-probabilities-and-expectation-propagation-1111.6832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-probabilities-and-expectation-propagation-1111.6832"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-adaptive-compressive-sensing-using-sparse-hierarchical-learned-dictionaries-1111.6923</loc><lastmod>2011-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-adaptive-compressive-sensing-using-sparse-hierarchical-learned-dictionaries-1111.6923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-adaptive-compressive-sensing-using-sparse-hierarchical-learned-dictionaries-1111.6923"/></url>
<url><loc>https://scifaro.com/en/abs/structure-learning-of-probabilistic-graphical-models-a-comprehensive-survey-1111.6925</loc><lastmod>2011-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-learning-of-probabilistic-graphical-models-a-comprehensive-survey-1111.6925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-learning-of-probabilistic-graphical-models-a-comprehensive-survey-1111.6925"/></url>
<url><loc>https://scifaro.com/en/abs/mask-iterative-hard-thresholding-algorithms-for-sparse-image-reconstruction-of-objects-with-known-contour-1112.0463</loc><lastmod>2011-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mask-iterative-hard-thresholding-algorithms-for-sparse-image-reconstruction-of-objects-with-known-contour-1112.0463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mask-iterative-hard-thresholding-algorithms-for-sparse-image-reconstruction-of-objects-with-known-contour-1112.0463"/></url>
<url><loc>https://scifaro.com/en/abs/information-maximization-clustering-based-on-squared-loss-mutual-information-1112.0611</loc><lastmod>2011-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-maximization-clustering-based-on-squared-loss-mutual-information-1112.0611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-maximization-clustering-based-on-squared-loss-mutual-information-1112.0611"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-with-operational-costs-1112.0698</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-with-operational-costs-1112.0698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-with-operational-costs-1112.0698"/></url>
<url><loc>https://scifaro.com/en/abs/entropy-search-for-information-efficient-global-optimization-1112.1217</loc><lastmod>2011-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropy-search-for-information-efficient-global-optimization-1112.1217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropy-search-for-information-efficient-global-optimization-1112.1217"/></url>
<url><loc>https://scifaro.com/en/abs/green-s-function-based-unparameterised-multi-dimensional-kernel-density-and-likelihood-ratio-estimator-1112.2093</loc><lastmod>2012-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/green-s-function-based-unparameterised-multi-dimensional-kernel-density-and-likelihood-ratio-estimator-1112.2093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/green-s-function-based-unparameterised-multi-dimensional-kernel-density-and-likelihood-ratio-estimator-1112.2093"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-stochastic-approximation-with-differential-inclusions-1112.2288</loc><lastmod>2011-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-stochastic-approximation-with-differential-inclusions-1112.2288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-stochastic-approximation-with-differential-inclusions-1112.2288"/></url>
<url><loc>https://scifaro.com/en/abs/convergent-expectation-propagation-in-linear-models-with-spike-and-slab-priors-1112.2289</loc><lastmod>2011-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergent-expectation-propagation-in-linear-models-with-spike-and-slab-priors-1112.2289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergent-expectation-propagation-in-linear-models-with-spike-and-slab-priors-1112.2289"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-forgetting-factor-fictitious-play-1112.2315</loc><lastmod>2011-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-forgetting-factor-fictitious-play-1112.2315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-forgetting-factor-fictitious-play-1112.2315"/></url>
<url><loc>https://scifaro.com/en/abs/graph-construction-for-learning-with-unbalanced-data-1112.2319</loc><lastmod>2011-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-construction-for-learning-with-unbalanced-data-1112.2319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-construction-for-learning-with-unbalanced-data-1112.2319"/></url>
<url><loc>https://scifaro.com/en/abs/truncated-power-method-for-sparse-eigenvalue-problems-1112.2679</loc><lastmod>2011-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/truncated-power-method-for-sparse-eigenvalue-problems-1112.2679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/truncated-power-method-for-sparse-eigenvalue-problems-1112.2679"/></url>
<url><loc>https://scifaro.com/en/abs/robust-learning-via-cause-effect-models-1112.2738</loc><lastmod>2013-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-learning-via-cause-effect-models-1112.2738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-learning-via-cause-effect-models-1112.2738"/></url>
<url><loc>https://scifaro.com/en/abs/beta-negative-binomial-process-and-poisson-factor-analysis-1112.3605</loc><lastmod>2012-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beta-negative-binomial-process-and-poisson-factor-analysis-1112.3605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beta-negative-binomial-process-and-poisson-factor-analysis-1112.3605"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-models-with-trees-and-rules-1112.3699</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-models-with-trees-and-rules-1112.3699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-models-with-trees-and-rules-1112.3699"/></url>
<url><loc>https://scifaro.com/en/abs/regret-lower-bounds-and-extended-upper-confidence-bounds-policies-in-stochastic-multi-armed-bandit-problem-1112.3827</loc><lastmod>2011-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-lower-bounds-and-extended-upper-confidence-bounds-policies-in-stochastic-multi-armed-bandit-problem-1112.3827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-lower-bounds-and-extended-upper-confidence-bounds-policies-in-stochastic-multi-armed-bandit-problem-1112.3827"/></url>
<url><loc>https://scifaro.com/en/abs/additive-gaussian-processes-1112.4394</loc><lastmod>2011-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/additive-gaussian-processes-1112.4394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/additive-gaussian-processes-1112.4394"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-m-estimator-for-robust-pca-1112.4863</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-m-estimator-for-robust-pca-1112.4863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-m-estimator-for-robust-pca-1112.4863"/></url>
<url><loc>https://scifaro.com/en/abs/bilateral-random-projections-1112.5215</loc><lastmod>2011-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bilateral-random-projections-1112.5215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bilateral-random-projections-1112.5215"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-rates-for-homology-inference-1112.5627</loc><lastmod>2011-12-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-rates-for-homology-inference-1112.5627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-rates-for-homology-inference-1112.5627"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-active-learning-for-classification-and-preference-learning-1112.5745</loc><lastmod>2011-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-active-learning-for-classification-and-preference-learning-1112.5745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-active-learning-for-classification-and-preference-learning-1112.5745"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-and-selection-via-absolute-penalized-convex-minimization-and-its-multistage-adaptive-applications-1112.6363</loc><lastmod>2011-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-and-selection-via-absolute-penalized-convex-minimization-and-its-multistage-adaptive-applications-1112.6363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-and-selection-via-absolute-penalized-convex-minimization-and-its-multistage-adaptive-applications-1112.6363"/></url>
<url><loc>https://scifaro.com/en/abs/random-forests-for-metric-learning-with-implicit-pairwise-position-dependence-1201.0610</loc><lastmod>2012-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-forests-for-metric-learning-with-implicit-pairwise-position-dependence-1201.0610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-forests-for-metric-learning-with-implicit-pairwise-position-dependence-1201.0610"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-nonparametric-graphical-models-1201.0794</loc><lastmod>2013-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-nonparametric-graphical-models-1201.0794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-nonparametric-graphical-models-1201.0794"/></url>
<url><loc>https://scifaro.com/en/abs/extension-of-sbl-algorithms-for-the-recovery-of-block-sparse-signals-with-intra-block-correlation-1201.0862</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extension-of-sbl-algorithms-for-the-recovery-of-block-sparse-signals-with-intra-block-correlation-1201.0862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extension-of-sbl-algorithms-for-the-recovery-of-block-sparse-signals-with-intra-block-correlation-1201.0862"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-variable-clustering-and-the-best-basis-problem-in-functional-data-analysis-1201.0959</loc><lastmod>2012-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-variable-clustering-and-the-best-basis-problem-in-functional-data-analysis-1201.0959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-variable-clustering-and-the-best-basis-problem-in-functional-data-analysis-1201.0959"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-dynamic-web-usage-data-1201.0963</loc><lastmod>2012-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-dynamic-web-usage-data-1201.0963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-dynamic-web-usage-data-1201.0963"/></url>
<url><loc>https://scifaro.com/en/abs/the-interaction-of-entropy-based-discretization-and-sample-size-an-empirical-study-1201.1450</loc><lastmod>2012-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-interaction-of-entropy-based-discretization-and-sample-size-an-empirical-study-1201.1450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-interaction-of-entropy-based-discretization-and-sample-size-an-empirical-study-1201.1450"/></url>
<url><loc>https://scifaro.com/en/abs/a-split-merge-mcmc-algorithm-for-the-hierarchical-dirichlet-process-1201.1657</loc><lastmod>2012-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-split-merge-mcmc-algorithm-for-the-hierarchical-dirichlet-process-1201.1657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-split-merge-mcmc-algorithm-for-the-hierarchical-dirichlet-process-1201.1657"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-framework-of-dual-certificate-analysis-for-structured-sparse-recovery-problems-1201.3302</loc><lastmod>2012-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-framework-of-dual-certificate-analysis-for-structured-sparse-recovery-problems-1201.3302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-framework-of-dual-certificate-analysis-for-structured-sparse-recovery-problems-1201.3302"/></url>
<url><loc>https://scifaro.com/en/abs/spike-and-slab-sparse-coding-for-unsupervised-feature-discovery-1201.3382</loc><lastmod>2012-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spike-and-slab-sparse-coding-for-unsupervised-feature-discovery-1201.3382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spike-and-slab-sparse-coding-for-unsupervised-feature-discovery-1201.3382"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-policies-for-sequential-sampling-under-incomplete-information-and-a-cost-constraint-1201.4002</loc><lastmod>2012-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-policies-for-sequential-sampling-under-incomplete-information-and-a-cost-constraint-1201.4002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-policies-for-sequential-sampling-under-incomplete-information-and-a-cost-constraint-1201.4002"/></url>
<url><loc>https://scifaro.com/en/abs/a-robust-and-sparse-k-means-clustering-algorithm-1201.6082</loc><lastmod>2012-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-robust-and-sparse-k-means-clustering-algorithm-1201.6082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-robust-and-sparse-k-means-clustering-algorithm-1201.6082"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-feature-selection-by-feature-wise-kernelized-lasso-1202.0515</loc><lastmod>2019-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-feature-selection-by-feature-wise-kernelized-lasso-1202.0515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-feature-selection-by-feature-wise-kernelized-lasso-1202.0515"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-rates-of-estimation-for-sparse-pca-in-high-dimensions-1202.0786</loc><lastmod>2012-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-rates-of-estimation-for-sparse-pca-in-high-dimensions-1202.0786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-rates-of-estimation-for-sparse-pca-in-high-dimensions-1202.0786"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-predictive-partitioning-in-high-dimensions-1202.0825</loc><lastmod>2012-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-predictive-partitioning-in-high-dimensions-1202.0825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-predictive-partitioning-in-high-dimensions-1202.0825"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-learning-of-markov-network-structure-1202.1787</loc><lastmod>2012-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-learning-of-markov-network-structure-1202.1787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-learning-of-markov-network-structure-1202.1787"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-semiparametric-gaussian-copula-graphical-models-1202.2169</loc><lastmod>2012-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-semiparametric-gaussian-copula-graphical-models-1202.2169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-semiparametric-gaussian-copula-graphical-models-1202.2169"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-tensor-factorizations-and-higher-order-principal-components-analysis-1202.2476</loc><lastmod>2012-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-tensor-factorizations-and-higher-order-principal-components-analysis-1202.2476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-tensor-factorizations-and-higher-order-principal-components-analysis-1202.2476"/></url>
<url><loc>https://scifaro.com/en/abs/risk-bounds-for-infinitely-divisible-distribution-1202.3774</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-bounds-for-infinitely-divisible-distribution-1202.3774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-bounds-for-infinitely-divisible-distribution-1202.3774"/></url>
<url><loc>https://scifaro.com/en/abs/support-vector-regression-for-right-censored-data-1202.5130</loc><lastmod>2013-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/support-vector-regression-for-right-censored-data-1202.5130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/support-vector-regression-for-right-censored-data-1202.5130"/></url>
<url><loc>https://scifaro.com/en/abs/classification-approach-based-on-association-rules-mining-for-unbalanced-data-1202.5514</loc><lastmod>2015-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-approach-based-on-association-rules-mining-for-unbalanced-data-1202.5514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-approach-based-on-association-rules-mining-for-unbalanced-data-1202.5514"/></url>
<url><loc>https://scifaro.com/en/abs/replica-theory-for-learning-curves-for-gaussian-processes-on-random-graphs-1202.5918</loc><lastmod>2012-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/replica-theory-for-learning-curves-for-gaussian-processes-on-random-graphs-1202.5918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/replica-theory-for-learning-curves-for-gaussian-processes-on-random-graphs-1202.5918"/></url>
<url><loc>https://scifaro.com/en/abs/efficiently-sampling-multiplicative-attribute-graphs-using-a-ball-dropping-process-1202.6001</loc><lastmod>2012-02-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficiently-sampling-multiplicative-attribute-graphs-using-a-ball-dropping-process-1202.6001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficiently-sampling-multiplicative-attribute-graphs-using-a-ball-dropping-process-1202.6001"/></url>
<url><loc>https://scifaro.com/en/abs/protocols-for-learning-classifiers-on-distributed-data-1202.6078</loc><lastmod>2012-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/protocols-for-learning-classifiers-on-distributed-data-1202.6078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/protocols-for-learning-classifiers-on-distributed-data-1202.6078"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayesian-generalization-bound-on-confusion-matrix-for-multi-class-classification-1202.6228</loc><lastmod>2013-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayesian-generalization-bound-on-confusion-matrix-for-multi-class-classification-1202.6228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayesian-generalization-bound-on-confusion-matrix-for-multi-class-classification-1202.6228"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-distributions-via-support-measure-machines-1202.6504</loc><lastmod>2013-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-distributions-via-support-measure-machines-1202.6504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-distributions-via-support-measure-machines-1202.6504"/></url>
<url><loc>https://scifaro.com/en/abs/inference-in-hidden-markov-models-with-explicit-state-duration-distributions-1203.0038</loc><lastmod>2015-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-in-hidden-markov-models-with-explicit-state-duration-distributions-1203.0038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-in-hidden-markov-models-with-explicit-state-duration-distributions-1203.0038"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-common-substructure-of-multiple-graphical-gaussian-models-1203.0117</loc><lastmod>2012-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-common-substructure-of-multiple-graphical-gaussian-models-1203.0117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-common-substructure-of-multiple-graphical-gaussian-models-1203.0117"/></url>
<url><loc>https://scifaro.com/en/abs/change-point-detection-in-time-series-data-by-relative-density-ratio-estimation-1203.0453</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/change-point-detection-in-time-series-data-by-relative-density-ratio-estimation-1203.0453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/change-point-detection-in-time-series-data-by-relative-density-ratio-estimation-1203.0453"/></url>
<url><loc>https://scifaro.com/en/abs/fast-learning-rate-of-multiple-kernel-learning-trade-off-between-sparsity-and-smoothness-1203.0565</loc><lastmod>2013-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-learning-rate-of-multiple-kernel-learning-trade-off-between-sparsity-and-smoothness-1203.0565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-learning-rate-of-multiple-kernel-learning-trade-off-between-sparsity-and-smoothness-1203.0565"/></url>
<url><loc>https://scifaro.com/en/abs/learning-high-dimensional-mixtures-of-graphical-models-1203.0697</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-high-dimensional-mixtures-of-graphical-models-1203.0697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-high-dimensional-mixtures-of-graphical-models-1203.0697"/></url>
<url><loc>https://scifaro.com/en/abs/subspace-clustering-of-high-dimensional-data-a-predictive-approach-1203.1065</loc><lastmod>2012-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subspace-clustering-of-high-dimensional-data-a-predictive-approach-1203.1065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subspace-clustering-of-high-dimensional-data-a-predictive-approach-1203.1065"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-change-point-estimation-in-stationary-ergodic-time-series-1203.1515</loc><lastmod>2015-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-change-point-estimation-in-stationary-ergodic-time-series-1203.1515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-change-point-estimation-in-stationary-ergodic-time-series-1203.1515"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-operator-valued-kernel-learning-1203.1596</loc><lastmod>2012-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-operator-valued-kernel-learning-1203.1596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-operator-valued-kernel-learning-1203.1596"/></url>
<url><loc>https://scifaro.com/en/abs/an-admm-algorithm-for-a-class-of-total-variation-regularized-estimation-problems-1203.1828</loc><lastmod>2012-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-admm-algorithm-for-a-class-of-total-variation-regularized-estimation-problems-1203.1828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-admm-algorithm-for-a-class-of-total-variation-regularized-estimation-problems-1203.1828"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-adaptive-look-ahead-particle-filtering-1203.2394</loc><lastmod>2012-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-adaptive-look-ahead-particle-filtering-1203.2394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-adaptive-look-ahead-particle-filtering-1203.2394"/></url>
<url><loc>https://scifaro.com/en/abs/differential-privacy-for-functions-and-functional-data-1203.2570</loc><lastmod>2012-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differential-privacy-for-functions-and-functional-data-1203.2570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differential-privacy-for-functions-and-functional-data-1203.2570"/></url>
<url><loc>https://scifaro.com/en/abs/speeding-up-the-binary-gaussian-process-classification-1203.3524</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/speeding-up-the-binary-gaussian-process-classification-1203.3524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/speeding-up-the-binary-gaussian-process-classification-1203.3524"/></url>
<url><loc>https://scifaro.com/en/abs/learning-feature-hierarchies-with-centered-deep-boltzmann-machines-1203.3783</loc><lastmod>2012-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-feature-hierarchies-with-centered-deep-boltzmann-machines-1203.3783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-feature-hierarchies-with-centered-deep-boltzmann-machines-1203.3783"/></url>
<url><loc>https://scifaro.com/en/abs/learning-loopy-graphical-models-with-latent-variables-efficient-methods-and-guarantees-1203.3887</loc><lastmod>2013-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-loopy-graphical-models-with-latent-variables-efficient-methods-and-guarantees-1203.3887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-loopy-graphical-models-with-latent-variables-efficient-methods-and-guarantees-1203.3887"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-confidence-sets-for-general-nonparametric-regression-and-classification-by-regularized-kernel-methods-1203.4354</loc><lastmod>2012-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-confidence-sets-for-general-nonparametric-regression-and-classification-by-regularized-kernel-methods-1203.4354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-confidence-sets-for-general-nonparametric-regression-and-classification-by-regularized-kernel-methods-1203.4354"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-single-and-multi-domain-regression-with-multi-domain-training-1203.4422</loc><lastmod>2012-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-single-and-multi-domain-regression-with-multi-domain-training-1203.4422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-single-and-multi-domain-regression-with-multi-domain-training-1203.4422"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-sparsity-constrained-optimization-1203.5483</loc><lastmod>2013-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-sparsity-constrained-optimization-1203.5483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-sparsity-constrained-optimization-1203.5483"/></url>
<url><loc>https://scifaro.com/en/abs/polynomial-expansion-of-the-binary-classification-function-1203.5647</loc><lastmod>2012-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/polynomial-expansion-of-the-binary-classification-function-1203.5647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/polynomial-expansion-of-the-binary-classification-function-1203.5647"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-dimensionality-reduction-for-hmms-1203.6130</loc><lastmod>2012-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-dimensionality-reduction-for-hmms-1203.6130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-dimensionality-reduction-for-hmms-1203.6130"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-normalization-for-quadratic-discriminant-analysis-and-classifying-cancer-subtypes-1203.6345</loc><lastmod>2012-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-normalization-for-quadratic-discriminant-analysis-and-classifying-cancer-subtypes-1203.6345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-normalization-for-quadratic-discriminant-analysis-and-classifying-cancer-subtypes-1203.6345"/></url>
<url><loc>https://scifaro.com/en/abs/corrected-kriging-update-formulae-for-batch-sequential-data-assimilation-1203.6452</loc><lastmod>2012-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/corrected-kriging-update-formulae-for-batch-sequential-data-assimilation-1203.6452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/corrected-kriging-update-formulae-for-batch-sequential-data-assimilation-1203.6452"/></url>
<url><loc>https://scifaro.com/en/abs/transforming-graph-representations-for-statistical-relational-learning-1204.0033</loc><lastmod>2012-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transforming-graph-representations-for-statistical-relational-learning-1204.0033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transforming-graph-representations-for-statistical-relational-learning-1204.0033"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-bayesian-hierarchical-prior-modeling-to-sparse-channel-estimation-1204.0656</loc><lastmod>2012-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-bayesian-hierarchical-prior-modeling-to-sparse-channel-estimation-1204.0656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-bayesian-hierarchical-prior-modeling-to-sparse-channel-estimation-1204.0656"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-robust-power-system-state-estimation-1204.0991</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-robust-power-system-state-estimation-1204.0991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-robust-power-system-state-estimation-1204.0991"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-dependent-sample-complexity-of-large-margin-learning-1204.1276</loc><lastmod>2013-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-dependent-sample-complexity-of-large-margin-learning-1204.1276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-dependent-sample-complexity-of-large-margin-learning-1204.1276"/></url>
<url><loc>https://scifaro.com/en/abs/fast-projections-onto-mixed-norm-balls-with-applications-1204.1437</loc><lastmod>2012-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-projections-onto-mixed-norm-balls-with-applications-1204.1437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-projections-onto-mixed-norm-balls-with-applications-1204.1437"/></url>
<url><loc>https://scifaro.com/en/abs/ucb-algorithm-for-exponential-distributions-1204.1624</loc><lastmod>2012-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ucb-algorithm-for-exponential-distributions-1204.1624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ucb-algorithm-for-exponential-distributions-1204.1624"/></url>
<url><loc>https://scifaro.com/en/abs/optimally-weighted-herding-is-bayesian-quadrature-1204.1664</loc><lastmod>2016-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimally-weighted-herding-is-bayesian-quadrature-1204.1664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimally-weighted-herding-is-bayesian-quadrature-1204.1664"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-causal-orders-in-a-linear-non-gaussian-acyclic-model-a-method-robust-against-latent-confounders-1204.1795</loc><lastmod>2012-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-causal-orders-in-a-linear-non-gaussian-acyclic-model-a-method-robust-against-latent-confounders-1204.1795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-causal-orders-in-a-linear-non-gaussian-acyclic-model-a-method-robust-against-latent-confounders-1204.1795"/></url>
<url><loc>https://scifaro.com/en/abs/coherence-functions-with-applications-in-large-margin-classification-methods-1204.2049</loc><lastmod>2012-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coherence-functions-with-applications-in-large-margin-classification-methods-1204.2049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coherence-functions-with-applications-in-large-margin-classification-methods-1204.2049"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-accuracy-of-distribution-based-estimation-for-latent-variables-1204.2069</loc><lastmod>2014-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-accuracy-of-distribution-based-estimation-for-latent-variables-1204.2069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-accuracy-of-distribution-based-estimation-for-latent-variables-1204.2069"/></url>
<url><loc>https://scifaro.com/en/abs/co-clustering-for-directed-graphs-the-stochastic-co-blockmodel-and-spectral-algorithm-di-sim-1204.2296</loc><lastmod>2015-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/co-clustering-for-directed-graphs-the-stochastic-co-blockmodel-and-spectral-algorithm-di-sim-1204.2296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/co-clustering-for-directed-graphs-the-stochastic-co-blockmodel-and-spectral-algorithm-di-sim-1204.2296"/></url>
<url><loc>https://scifaro.com/en/abs/least-absolute-gradient-selector-statistical-regression-via-pseudo-hard-thresholding-1204.2353</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/least-absolute-gradient-selector-statistical-regression-via-pseudo-hard-thresholding-1204.2353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/least-absolute-gradient-selector-statistical-regression-via-pseudo-hard-thresholding-1204.2353"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-and-unique-nonnegative-matrix-factorization-through-data-preprocessing-1204.2436</loc><lastmod>2012-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-and-unique-nonnegative-matrix-factorization-through-data-preprocessing-1204.2436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-and-unique-nonnegative-matrix-factorization-through-data-preprocessing-1204.2436"/></url>
<url><loc>https://scifaro.com/en/abs/concept-modeling-with-superwords-1204.2523</loc><lastmod>2012-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concept-modeling-with-superwords-1204.2523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concept-modeling-with-superwords-1204.2523"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sets-with-separating-kernels-1204.3573</loc><lastmod>2014-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sets-with-separating-kernels-1204.3573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sets-with-separating-kernels-1204.3573"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-partial-least-squares-with-an-application-to-nmr-spectroscopy-1204.3942</loc><lastmod>2012-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-partial-least-squares-with-an-application-to-nmr-spectroscopy-1204.3942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-partial-least-squares-with-an-application-to-nmr-spectroscopy-1204.3942"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-with-density-ratio-estimation-1204.3965</loc><lastmod>2012-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-with-density-ratio-estimation-1204.3965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-with-density-ratio-estimation-1204.3965"/></url>
<url><loc>https://scifaro.com/en/abs/the-artificial-regression-market-1204.4154</loc><lastmod>2014-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-artificial-regression-market-1204.4154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-artificial-regression-market-1204.4154"/></url>
<url><loc>https://scifaro.com/en/abs/ep-gig-priors-and-applications-in-bayesian-sparse-learning-1204.4243</loc><lastmod>2012-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ep-gig-priors-and-applications-in-bayesian-sparse-learning-1204.4243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ep-gig-priors-and-applications-in-bayesian-sparse-learning-1204.4243"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-feature-selection-in-graphs-with-path-coding-penalties-and-network-flows-1204.4539</loc><lastmod>2013-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-feature-selection-in-graphs-with-path-coding-penalties-and-network-flows-1204.4539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-feature-selection-in-graphs-with-path-coding-penalties-and-network-flows-1204.4539"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-hierarchical-clustering-for-continuous-data-1204.4708</loc><lastmod>2012-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-hierarchical-clustering-for-continuous-data-1204.4708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-hierarchical-clustering-for-continuous-data-1204.4708"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-prediction-with-the-k-support-norm-1204.5043</loc><lastmod>2012-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-prediction-with-the-k-support-norm-1204.5043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-prediction-with-the-k-support-norm-1204.5043"/></url>
<url><loc>https://scifaro.com/en/abs/learning-amp-chain-graphs-under-faithfulness-1204.5357</loc><lastmod>2012-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-amp-chain-graphs-under-faithfulness-1204.5357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-amp-chain-graphs-under-faithfulness-1204.5357"/></url>
<url><loc>https://scifaro.com/en/abs/learning-loosely-connected-markov-random-fields-1204.5540</loc><lastmod>2014-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-loosely-connected-markov-random-fields-1204.5540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-loosely-connected-markov-random-fields-1204.5540"/></url>
<url><loc>https://scifaro.com/en/abs/dissimilarity-clustering-by-hierarchical-multi-level-refinement-1204.6509</loc><lastmod>2012-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dissimilarity-clustering-by-hierarchical-multi-level-refinement-1204.6509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dissimilarity-clustering-by-hierarchical-multi-level-refinement-1204.6509"/></url>
<url><loc>https://scifaro.com/en/abs/a-conjugate-property-between-loss-functions-and-uncertainty-sets-in-classification-problems-1204.6583</loc><lastmod>2012-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-conjugate-property-between-loss-functions-and-uncertainty-sets-in-classification-problems-1204.6583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-conjugate-property-between-loss-functions-and-uncertainty-sets-in-classification-problems-1204.6583"/></url>
<url><loc>https://scifaro.com/en/abs/qd-learning-a-collaborative-distributed-strategy-for-multi-agent-reinforcement-learning-through-consensus-innovations-1205.0047</loc><lastmod>2015-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/qd-learning-a-collaborative-distributed-strategy-for-multi-agent-reinforcement-learning-through-consensus-innovations-1205.0047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/qd-learning-a-collaborative-distributed-strategy-for-multi-agent-reinforcement-learning-through-consensus-innovations-1205.0047"/></url>
<url><loc>https://scifaro.com/en/abs/complexity-analysis-of-the-lasso-regularization-path-1205.0079</loc><lastmod>2012-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complexity-analysis-of-the-lasso-regularization-path-1205.0079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complexity-analysis-of-the-lasso-regularization-path-1205.0079"/></url>
<url><loc>https://scifaro.com/en/abs/tigress-trustful-inference-of-gene-regulation-using-stability-selection-1205.1181</loc><lastmod>2012-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tigress-trustful-inference-of-gene-regulation-using-stability-selection-1205.1181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tigress-trustful-inference-of-gene-regulation-using-stability-selection-1205.1181"/></url>
<url><loc>https://scifaro.com/en/abs/convex-relaxation-for-combinatorial-penalties-1205.1240</loc><lastmod>2012-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-relaxation-for-combinatorial-penalties-1205.1240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-relaxation-for-combinatorial-penalties-1205.1240"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-group-lasso-and-high-dimensional-multinomial-classification-1205.1245</loc><lastmod>2013-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-group-lasso-and-high-dimensional-multinomial-classification-1205.1245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-group-lasso-and-high-dimensional-multinomial-classification-1205.1245"/></url>
<url><loc>https://scifaro.com/en/abs/compressed-sensing-for-energy-efficient-wireless-telemonitoring-of-noninvasive-fetal-ecg-via-block-sparse-bayesian-learning-1205.1287</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressed-sensing-for-energy-efficient-wireless-telemonitoring-of-noninvasive-fetal-ecg-via-block-sparse-bayesian-learning-1205.1287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressed-sensing-for-energy-efficient-wireless-telemonitoring-of-noninvasive-fetal-ecg-via-block-sparse-bayesian-learning-1205.1287"/></url>
<url><loc>https://scifaro.com/en/abs/graph-prediction-in-a-low-rank-and-autoregressive-setting-1205.1406</loc><lastmod>2012-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-prediction-in-a-low-rank-and-autoregressive-setting-1205.1406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-prediction-in-a-low-rank-and-autoregressive-setting-1205.1406"/></url>
<url><loc>https://scifaro.com/en/abs/graph-based-learning-with-unbalanced-clusters-1205.1496</loc><lastmod>2012-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-based-learning-with-unbalanced-clusters-1205.1496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-based-learning-with-unbalanced-clusters-1205.1496"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-dynamic-programming-by-minimizing-distributionally-robust-bounds-1205.1782</loc><lastmod>2012-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-dynamic-programming-by-minimizing-distributionally-robust-bounds-1205.1782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-dynamic-programming-by-minimizing-distributionally-robust-bounds-1205.1782"/></url>
<url><loc>https://scifaro.com/en/abs/structured-input-output-lasso-with-application-to-eqtl-mapping-and-a-thresholding-algorithm-for-fast-estimation-1205.1989</loc><lastmod>2012-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-input-output-lasso-with-application-to-eqtl-mapping-and-a-thresholding-algorithm-for-fast-estimation-1205.1989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-input-output-lasso-with-application-to-eqtl-mapping-and-a-thresholding-algorithm-for-fast-estimation-1205.1989"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalized-kernel-approach-to-structured-output-learning-1205.2171</loc><lastmod>2015-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalized-kernel-approach-to-structured-output-learning-1205.2171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalized-kernel-approach-to-structured-output-learning-1205.2171"/></url>
<url><loc>https://scifaro.com/en/abs/modularity-based-clustering-for-network-constrained-trajectories-1205.2172</loc><lastmod>2012-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modularity-based-clustering-for-network-constrained-trajectories-1205.2172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modularity-based-clustering-for-network-constrained-trajectories-1205.2172"/></url>
<url><loc>https://scifaro.com/en/abs/a-discussion-on-parallelization-schemes-for-stochastic-vector-quantization-algorithms-1205.2282</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-discussion-on-parallelization-schemes-for-stochastic-vector-quantization-algorithms-1205.2282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-discussion-on-parallelization-schemes-for-stochastic-vector-quantization-algorithms-1205.2282"/></url>
<url><loc>https://scifaro.com/en/abs/identifiability-of-gaussian-structural-equation-models-with-equal-error-variances-1205.2536</loc><lastmod>2014-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifiability-of-gaussian-structural-equation-models-with-equal-error-variances-1205.2536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifiability-of-gaussian-structural-equation-models-with-equal-error-variances-1205.2536"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-identifiability-of-the-post-nonlinear-causal-model-1205.2599</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-identifiability-of-the-post-nonlinear-causal-model-1205.2599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-identifiability-of-the-post-nonlinear-causal-model-1205.2599"/></url>
<url><loc>https://scifaro.com/en/abs/the-infinite-latent-events-model-1205.2604</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-infinite-latent-events-model-1205.2604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-infinite-latent-events-model-1205.2604"/></url>
<url><loc>https://scifaro.com/en/abs/which-spatial-partition-trees-are-adaptive-to-intrinsic-dimension-1205.2609</loc><lastmod>2025-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/which-spatial-partition-trees-are-adaptive-to-intrinsic-dimension-1205.2609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/which-spatial-partition-trees-are-adaptive-to-intrinsic-dimension-1205.2609"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-discrete-interventional-data-using-directed-cyclic-graphical-models-1205.2617</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-discrete-interventional-data-using-directed-cyclic-graphical-models-1205.2617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-discrete-interventional-data-using-directed-cyclic-graphical-models-1205.2617"/></url>
<url><loc>https://scifaro.com/en/abs/group-sparse-priors-for-covariance-estimation-1205.2626</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-sparse-priors-for-covariance-estimation-1205.2626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-sparse-priors-for-covariance-estimation-1205.2626"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-confounders-using-additive-noise-models-1205.2640</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-confounders-using-additive-noise-models-1205.2640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-confounders-using-additive-noise-models-1205.2640"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-discovery-of-linear-acyclic-causal-models-1205.2641</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-discovery-of-linear-acyclic-causal-models-1205.2641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-discovery-of-linear-acyclic-causal-models-1205.2641"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-of-structured-mean-field-objectives-1205.2658</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-of-structured-mean-field-objectives-1205.2658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-of-structured-mean-field-objectives-1205.2658"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-accuracy-of-bayes-estimation-for-latent-variables-with-redundancy-1205.3234</loc><lastmod>2014-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-accuracy-of-bayes-estimation-for-latent-variables-with-redundancy-1205.3234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-accuracy-of-bayes-estimation-for-latent-variables-with-redundancy-1205.3234"/></url>
<url><loc>https://scifaro.com/en/abs/free-energy-and-the-generalized-optimality-equations-for-sequential-decision-making-1205.3997</loc><lastmod>2012-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/free-energy-and-the-generalized-optimality-equations-for-sequential-decision-making-1205.3997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/free-energy-and-the-generalized-optimality-equations-for-sequential-decision-making-1205.3997"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-an-asymptotically-optimal-finite-time-analysis-1205.4217</loc><lastmod>2012-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-an-asymptotically-optimal-finite-time-analysis-1205.4217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-an-asymptotically-optimal-finite-time-analysis-1205.4217"/></url>
<url><loc>https://scifaro.com/en/abs/soft-rule-ensembles-for-statistical-learning-1205.4476</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-rule-ensembles-for-statistical-learning-1205.4476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-rule-ensembles-for-statistical-learning-1205.4476"/></url>
<url><loc>https://scifaro.com/en/abs/variance-function-estimation-in-high-dimensions-1205.4770</loc><lastmod>2012-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-function-estimation-in-high-dimensions-1205.4770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-function-estimation-in-high-dimensions-1205.4770"/></url>
<url><loc>https://scifaro.com/en/abs/learning-mixed-graphical-models-1205.5012</loc><lastmod>2013-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-mixed-graphical-models-1205.5012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-mixed-graphical-models-1205.5012"/></url>
<url><loc>https://scifaro.com/en/abs/measurability-aspects-of-the-compactness-theorem-for-sample-compression-schemes-1205.5819</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measurability-aspects-of-the-compactness-theorem-for-sample-compression-schemes-1205.5819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measurability-aspects-of-the-compactness-theorem-for-sample-compression-schemes-1205.5819"/></url>
<url><loc>https://scifaro.com/en/abs/on-latent-position-inference-from-doubly-stochastic-messaging-activities-1205.5920</loc><lastmod>2013-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-latent-position-inference-from-doubly-stochastic-messaging-activities-1205.5920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-latent-position-inference-from-doubly-stochastic-messaging-activities-1205.5920"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-mathematical-foundation-of-immunology-and-amino-acid-chains-1205.6031</loc><lastmod>2012-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-mathematical-foundation-of-immunology-and-amino-acid-chains-1205.6031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-mathematical-foundation-of-immunology-and-amino-acid-chains-1205.6031"/></url>
<url><loc>https://scifaro.com/en/abs/learning-dictionaries-with-bounded-self-coherence-1205.6210</loc><lastmod>2012-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-dictionaries-with-bounded-self-coherence-1205.6210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-dictionaries-with-bounded-self-coherence-1205.6210"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-evaluating-approximation-methods-for-gaussian-process-regression-1205.6326</loc><lastmod>2012-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-evaluating-approximation-methods-for-gaussian-process-regression-1205.6326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-evaluating-approximation-methods-for-gaussian-process-regression-1205.6326"/></url>
<url><loc>https://scifaro.com/en/abs/finding-important-genes-from-high-dimensional-data-an-appraisal-of-statistical-tests-and-machine-learning-approaches-1205.6523</loc><lastmod>2012-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-important-genes-from-high-dimensional-data-an-appraisal-of-statistical-tests-and-machine-learning-approaches-1205.6523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-important-genes-from-high-dimensional-data-an-appraisal-of-statistical-tests-and-machine-learning-approaches-1205.6523"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-information-rate-in-discrete-time-gaussian-processes-1206.0304</loc><lastmod>2012-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-information-rate-in-discrete-time-gaussian-processes-1206.0304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-information-rate-in-discrete-time-gaussian-processes-1206.0304"/></url>
<url><loc>https://scifaro.com/en/abs/when-does-a-mixture-of-products-contain-a-product-of-mixtures-1206.0387</loc><lastmod>2014-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-does-a-mixture-of-products-contain-a-product-of-mixtures-1206.0387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-does-a-mixture-of-products-contain-a-product-of-mixtures-1206.0387"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-approximation-in-convex-optimization-1206.0392</loc><lastmod>2012-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-approximation-in-convex-optimization-1206.0392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-approximation-in-convex-optimization-1206.0392"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-expansions-in-convex-optimization-1206.0393</loc><lastmod>2012-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-expansions-in-convex-optimization-1206.0393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-expansions-in-convex-optimization-1206.0393"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-activations-over-graphs-using-spanning-tree-wavelet-bases-1206.0937</loc><lastmod>2012-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-activations-over-graphs-using-spanning-tree-wavelet-bases-1206.0937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-activations-over-graphs-using-spanning-tree-wavelet-bases-1206.0937"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-structure-learning-for-markov-random-fields-with-a-spike-and-slab-prior-1206.1088</loc><lastmod>2012-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-structure-learning-for-markov-random-fields-with-a-spike-and-slab-prior-1206.1088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-structure-learning-for-markov-random-fields-with-a-spike-and-slab-prior-1206.1088"/></url>
<url><loc>https://scifaro.com/en/abs/no-more-pesky-learning-rates-1206.1106</loc><lastmod>2013-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-more-pesky-learning-rates-1206.1106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-more-pesky-learning-rates-1206.1106"/></url>
<url><loc>https://scifaro.com/en/abs/robust-subspace-recovery-by-tyler-s-m-estimator-1206.1386</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-subspace-recovery-by-tyler-s-m-estimator-1206.1386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-subspace-recovery-by-tyler-s-m-estimator-1206.1386"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-greedy-algorithm-for-multiple-sparse-regression-1206.1402</loc><lastmod>2012-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-greedy-algorithm-for-multiple-sparse-regression-1206.1402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-greedy-algorithm-for-multiple-sparse-regression-1206.1402"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-newton-type-methods-for-minimizing-composite-functions-1206.1623</loc><lastmod>2014-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-newton-type-methods-for-minimizing-composite-functions-1206.1623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-newton-type-methods-for-minimizing-composite-functions-1206.1623"/></url>
<url><loc>https://scifaro.com/en/abs/warped-mixtures-for-nonparametric-cluster-shapes-1206.1846</loc><lastmod>2013-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/warped-mixtures-for-nonparametric-cluster-shapes-1206.1846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/warped-mixtures-for-nonparametric-cluster-shapes-1206.1846"/></url>
<url><loc>https://scifaro.com/en/abs/a-nonparametric-conjugate-prior-distribution-for-the-maximizing-argument-of-a-noisy-function-1206.1898</loc><lastmod>2012-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-nonparametric-conjugate-prior-distribution-for-the-maximizing-argument-of-a-noisy-function-1206.1898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-nonparametric-conjugate-prior-distribution-for-the-maximizing-argument-of-a-noisy-function-1206.1898"/></url>
<url><loc>https://scifaro.com/en/abs/practical-bayesian-optimization-of-machine-learning-algorithms-1206.2944</loc><lastmod>2012-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-bayesian-optimization-of-machine-learning-algorithms-1206.2944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-bayesian-optimization-of-machine-learning-algorithms-1206.2944"/></url>
<url><loc>https://scifaro.com/en/abs/identifiability-and-unmixing-of-latent-parse-trees-1206.3137</loc><lastmod>2012-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifiability-and-unmixing-of-latent-parse-trees-1206.3137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifiability-and-unmixing-of-latent-parse-trees-1206.3137"/></url>
<url><loc>https://scifaro.com/en/abs/causal-discovery-of-linear-acyclic-models-with-arbitrary-distributions-1206.3260</loc><lastmod>2012-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-discovery-of-linear-acyclic-models-with-arbitrary-distributions-1206.3260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-discovery-of-linear-acyclic-models-with-arbitrary-distributions-1206.3260"/></url>
<url><loc>https://scifaro.com/en/abs/dependence-maximizing-temporal-alignment-via-squared-loss-mutual-information-1206.4116</loc><lastmod>2012-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dependence-maximizing-temporal-alignment-via-squared-loss-mutual-information-1206.4116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dependence-maximizing-temporal-alignment-via-squared-loss-mutual-information-1206.4116"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-densities-with-non-parametric-exponential-families-1206.5036</loc><lastmod>2012-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-densities-with-non-parametric-exponential-families-1206.5036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-densities-with-non-parametric-exponential-families-1206.5036"/></url>
<url><loc>https://scifaro.com/en/abs/hidden-markov-models-with-mixtures-as-emission-distributions-1206.5102</loc><lastmod>2012-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hidden-markov-models-with-mixtures-as-emission-distributions-1206.5102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hidden-markov-models-with-mixtures-as-emission-distributions-1206.5102"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-modeling-with-gaussian-processes-using-the-gpstuff-toolbox-1206.5754</loc><lastmod>2015-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-modeling-with-gaussian-processes-using-the-gpstuff-toolbox-1206.5754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-modeling-with-gaussian-processes-using-the-gpstuff-toolbox-1206.5754"/></url>
<url><loc>https://scifaro.com/en/abs/learning-markov-network-structure-using-brownian-distance-covariance-1206.6361</loc><lastmod>2012-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-markov-network-structure-using-brownian-distance-covariance-1206.6361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-markov-network-structure-using-brownian-distance-covariance-1206.6361"/></url>
<url><loc>https://scifaro.com/en/abs/a-permutation-approach-to-testing-interactions-in-many-dimensions-1206.6519</loc><lastmod>2012-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-permutation-approach-to-testing-interactions-in-many-dimensions-1206.6519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-permutation-approach-to-testing-interactions-in-many-dimensions-1206.6519"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-variational-inference-1206.7051</loc><lastmod>2013-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-variational-inference-1206.7051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-variational-inference-1206.7051"/></url>
<url><loc>https://scifaro.com/en/abs/robust-dequantized-compressive-sensing-1207.0577</loc><lastmod>2013-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-dequantized-compressive-sensing-1207.0577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-dequantized-compressive-sensing-1207.0577"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayesian-majority-vote-for-late-classifier-fusion-1207.1019</loc><lastmod>2015-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayesian-majority-vote-for-late-classifier-fusion-1207.1019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayesian-majority-vote-for-late-classifier-fusion-1207.1019"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-land-use-from-mobile-phone-activity-1207.1115</loc><lastmod>2012-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-land-use-from-mobile-phone-activity-1207.1115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-land-use-from-mobile-phone-activity-1207.1115"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-electricity-consumption-by-aggregating-specialized-experts-1207.1965</loc><lastmod>2012-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-electricity-consumption-by-aggregating-specialized-experts-1207.1965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-electricity-consumption-by-aggregating-specialized-experts-1207.1965"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-a-causal-order-among-groups-of-variables-in-linear-models-1207.1977</loc><lastmod>2012-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-a-causal-order-among-groups-of-variables-in-linear-models-1207.1977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-a-causal-order-among-groups-of-variables-in-linear-models-1207.1977"/></url>
<url><loc>https://scifaro.com/en/abs/dual-space-analysis-of-the-sparse-linear-model-1207.2422</loc><lastmod>2012-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-space-analysis-of-the-sparse-linear-model-1207.2422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-space-analysis-of-the-sparse-linear-model-1207.2422"/></url>
<url><loc>https://scifaro.com/en/abs/non-convex-rank-minimization-via-an-empirical-bayesian-approach-1207.2440</loc><lastmod>2012-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-convex-rank-minimization-via-an-empirical-bayesian-approach-1207.2440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-convex-rank-minimization-via-an-empirical-bayesian-approach-1207.2440"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-algorithms-for-differentially-private-principal-components-1207.2812</loc><lastmod>2013-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-algorithms-for-differentially-private-principal-components-1207.2812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-algorithms-for-differentially-private-principal-components-1207.2812"/></url>
<url><loc>https://scifaro.com/en/abs/expectation-propagation-in-gaussian-process-dynamical-systems-extended-version-1207.2940</loc><lastmod>2016-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expectation-propagation-in-gaussian-process-dynamical-systems-extended-version-1207.2940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expectation-propagation-in-gaussian-process-dynamical-systems-extended-version-1207.2940"/></url>
<url><loc>https://scifaro.com/en/abs/hypothesis-testing-in-speckled-data-with-stochastic-distances-1207.2959</loc><lastmod>2012-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypothesis-testing-in-speckled-data-with-stochastic-distances-1207.2959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypothesis-testing-in-speckled-data-with-stochastic-distances-1207.2959"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-of-model-approximation-errors-and-expected-entropy-distances-1207.3399</loc><lastmod>2014-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-of-model-approximation-errors-and-expected-entropy-distances-1207.3399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-of-model-approximation-errors-and-expected-entropy-distances-1207.3399"/></url>
<url><loc>https://scifaro.com/en/abs/mahnmf-manhattan-non-negative-matrix-factorization-1207.3438</loc><lastmod>2012-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mahnmf-manhattan-non-negative-matrix-factorization-1207.3438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mahnmf-manhattan-non-negative-matrix-factorization-1207.3438"/></url>
<url><loc>https://scifaro.com/en/abs/nested-expectation-propagation-for-gaussian-process-classification-with-a-multinomial-probit-likelihood-1207.3649</loc><lastmod>2013-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nested-expectation-propagation-for-gaussian-process-classification-with-a-multinomial-probit-likelihood-1207.3649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nested-expectation-propagation-for-gaussian-process-classification-with-a-multinomial-probit-likelihood-1207.3649"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-clustering-with-logic-rules-1207.3961</loc><lastmod>2012-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-clustering-with-logic-rules-1207.3961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-clustering-with-logic-rules-1207.3961"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-optimization-and-sparse-statistical-recovery-an-optimal-algorithm-for-high-dimensions-1207.4421</loc><lastmod>2012-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-optimization-and-sparse-statistical-recovery-an-optimal-algorithm-for-high-dimensions-1207.4421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-optimization-and-sparse-statistical-recovery-an-optimal-algorithm-for-high-dimensions-1207.4421"/></url>
<url><loc>https://scifaro.com/en/abs/local-stability-of-belief-propagation-algorithm-with-multiple-fixed-points-1207.4597</loc><lastmod>2012-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-stability-of-belief-propagation-algorithm-with-multiple-fixed-points-1207.4597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-stability-of-belief-propagation-algorithm-with-multiple-fixed-points-1207.4597"/></url>
<url><loc>https://scifaro.com/en/abs/models-of-disease-spectra-1207.4674</loc><lastmod>2012-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/models-of-disease-spectra-1207.4674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/models-of-disease-spectra-1207.4674"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-clustering-using-randomly-selected-similarities-1207.4748</loc><lastmod>2012-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-clustering-using-randomly-selected-similarities-1207.4748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-clustering-using-randomly-selected-similarities-1207.4748"/></url>
<url><loc>https://scifaro.com/en/abs/fast-nonparametric-classification-based-on-data-depth-1207.4992</loc><lastmod>2017-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-nonparametric-classification-based-on-data-depth-1207.4992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-nonparametric-classification-based-on-data-depth-1207.4992"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-and-structure-learning-in-nested-markov-models-1207.5058</loc><lastmod>2012-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-and-structure-learning-in-nested-markov-models-1207.5058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-and-structure-learning-in-nested-markov-models-1207.5058"/></url>
<url><loc>https://scifaro.com/en/abs/causal-inference-on-time-series-using-structural-equation-models-1207.5136</loc><lastmod>2016-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-inference-on-time-series-using-structural-equation-models-1207.5136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-inference-on-time-series-using-structural-equation-models-1207.5136"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-spectral-unmixing-of-hyperspectral-images-using-gaussian-processes-1207.5451</loc><lastmod>2015-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-spectral-unmixing-of-hyperspectral-images-using-gaussian-processes-1207.5451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-spectral-unmixing-of-hyperspectral-images-using-gaussian-processes-1207.5451"/></url>
<url><loc>https://scifaro.com/en/abs/determinantal-point-processes-for-machine-learning-1207.6083</loc><lastmod>2013-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/determinantal-point-processes-for-machine-learning-1207.6083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/determinantal-point-processes-for-machine-learning-1207.6083"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-data-collection-for-informative-rankings-expose-well-connected-graphs-1207.6430</loc><lastmod>2014-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-data-collection-for-informative-rankings-expose-well-connected-graphs-1207.6430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-data-collection-for-informative-rankings-expose-well-connected-graphs-1207.6430"/></url>
<url><loc>https://scifaro.com/en/abs/group-iterative-spectrum-thresholding-for-super-resolution-sparse-spectral-selection-1207.6684</loc><lastmod>2015-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-iterative-spectrum-thresholding-for-super-resolution-sparse-spectral-selection-1207.6684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-iterative-spectrum-thresholding-for-super-resolution-sparse-spectral-selection-1207.6684"/></url>
<url><loc>https://scifaro.com/en/abs/universally-consistent-latent-position-estimation-and-vertex-classification-for-random-dot-product-graphs-1207.6745</loc><lastmod>2012-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universally-consistent-latent-position-estimation-and-vertex-classification-for-random-dot-product-graphs-1207.6745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universally-consistent-latent-position-estimation-and-vertex-classification-for-random-dot-product-graphs-1207.6745"/></url>
<url><loc>https://scifaro.com/en/abs/oracle-inequalities-for-computationally-adaptive-model-selection-1208.0129</loc><lastmod>2012-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/oracle-inequalities-for-computationally-adaptive-model-selection-1208.0129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/oracle-inequalities-for-computationally-adaptive-model-selection-1208.0129"/></url>
<url><loc>https://scifaro.com/en/abs/ancestral-inference-from-functional-data-statistical-methods-and-numerical-examples-1208.0628</loc><lastmod>2012-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ancestral-inference-from-functional-data-statistical-methods-and-numerical-examples-1208.0628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ancestral-inference-from-functional-data-statistical-methods-and-numerical-examples-1208.0628"/></url>
<url><loc>https://scifaro.com/en/abs/cross-conformal-predictors-1208.0806</loc><lastmod>2012-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-conformal-predictors-1208.0806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-conformal-predictors-1208.0806"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-robust-recursive-algorithms-for-separable-nonnegative-matrix-factorization-1208.1237</loc><lastmod>2014-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-robust-recursive-algorithms-for-separable-nonnegative-matrix-factorization-1208.1237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-robust-recursive-algorithms-for-separable-nonnegative-matrix-factorization-1208.1237"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-screening-using-multiple-grouping-of-variables-1208.2043</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-screening-using-multiple-grouping-of-variables-1208.2043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-screening-using-multiple-grouping-of-variables-1208.2043"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-sample-if-you-must-on-optimal-functional-sampling-1208.2417</loc><lastmod>2012-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-sample-if-you-must-on-optimal-functional-sampling-1208.2417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-sample-if-you-must-on-optimal-functional-sampling-1208.2417"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-sparsity-and-regularization-1208.2572</loc><lastmod>2012-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-sparsity-and-regularization-1208.2572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-sparsity-and-regularization-1208.2572"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-algorithm-for-extremely-large-multi-task-regression-with-massive-structured-sparsity-1208.3014</loc><lastmod>2012-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-algorithm-for-extremely-large-multi-task-regression-with-massive-structured-sparsity-1208.3014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-algorithm-for-extremely-large-multi-task-regression-with-massive-structured-sparsity-1208.3014"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-generalization-bound-of-fisher-s-linear-discriminant-analysis-1208.3030</loc><lastmod>2013-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-generalization-bound-of-fisher-s-linear-discriminant-analysis-1208.3030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-generalization-bound-of-fisher-s-linear-discriminant-analysis-1208.3030"/></url>
<url><loc>https://scifaro.com/en/abs/structured-prediction-cascades-1208.3279</loc><lastmod>2012-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-prediction-cascades-1208.3279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-prediction-cascades-1208.3279"/></url>
<url><loc>https://scifaro.com/en/abs/consistent-selection-of-tuning-parameters-via-variable-selection-stability-1208.3380</loc><lastmod>2013-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-selection-of-tuning-parameters-via-variable-selection-stability-1208.3380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-selection-of-tuning-parameters-via-variable-selection-stability-1208.3380"/></url>
<url><loc>https://scifaro.com/en/abs/distance-metric-learning-for-kernel-machines-1208.3422</loc><lastmod>2013-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distance-metric-learning-for-kernel-machines-1208.3422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distance-metric-learning-for-kernel-machines-1208.3422"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-predictable-sequences-1208.3728</loc><lastmod>2014-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-predictable-sequences-1208.3728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-predictable-sequences-1208.3728"/></url>
<url><loc>https://scifaro.com/en/abs/learning-lingam-based-on-data-with-more-variables-than-observations-1208.4183</loc><lastmod>2012-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-lingam-based-on-data-with-more-variables-than-observations-1208.4183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-lingam-based-on-data-with-more-variables-than-observations-1208.4183"/></url>
<url><loc>https://scifaro.com/en/abs/minerva-and-minepy-a-c-engine-for-the-mine-suite-and-its-r-python-and-matlab-wrappers-1208.4271</loc><lastmod>2012-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minerva-and-minepy-a-c-engine-for-the-mine-suite-and-its-r-python-and-matlab-wrappers-1208.4271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minerva-and-minepy-a-c-engine-for-the-mine-suite-and-its-r-python-and-matlab-wrappers-1208.4271"/></url>
<url><loc>https://scifaro.com/en/abs/a-non-parametric-mixture-model-for-topic-modeling-over-time-1208.4411</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-non-parametric-mixture-model-for-topic-modeling-over-time-1208.4411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-non-parametric-mixture-model-for-topic-modeling-over-time-1208.4411"/></url>
<url><loc>https://scifaro.com/en/abs/changepoint-detection-for-high-dimensional-time-series-with-missing-data-1208.5062</loc><lastmod>2015-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/changepoint-detection-for-high-dimensional-time-series-with-missing-data-1208.5062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/changepoint-detection-for-high-dimensional-time-series-with-missing-data-1208.5062"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-maximum-variance-unfolding-1209.0016</loc><lastmod>2013-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-maximum-variance-unfolding-1209.0016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-maximum-variance-unfolding-1209.0016"/></url>
<url><loc>https://scifaro.com/en/abs/seeded-graph-matching-1209.0367</loc><lastmod>2018-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seeded-graph-matching-1209.0367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seeded-graph-matching-1209.0367"/></url>
<url><loc>https://scifaro.com/en/abs/a-max-product-em-algorithm-for-reconstructing-markov-tree-sparse-signals-from-compressive-samples-1209.1064</loc><lastmod>2013-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-max-product-em-algorithm-for-reconstructing-markov-tree-sparse-signals-from-compressive-samples-1209.1064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-max-product-em-algorithm-for-reconstructing-markov-tree-sparse-signals-from-compressive-samples-1209.1064"/></url>
<url><loc>https://scifaro.com/en/abs/augment-and-conquer-negative-binomial-processes-1209.1119</loc><lastmod>2013-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augment-and-conquer-negative-binomial-processes-1209.1119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augment-and-conquer-negative-binomial-processes-1209.1119"/></url>
<url><loc>https://scifaro.com/en/abs/solving-support-vector-machines-in-reproducing-kernel-banach-spaces-with-positive-definite-functions-1209.1171</loc><lastmod>2015-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-support-vector-machines-in-reproducing-kernel-banach-spaces-with-positive-definite-functions-1209.1171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-support-vector-machines-in-reproducing-kernel-banach-spaces-with-positive-definite-functions-1209.1171"/></url>
<url><loc>https://scifaro.com/en/abs/multiclass-learning-with-simplex-coding-1209.1360</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiclass-learning-with-simplex-coding-1209.1360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiclass-learning-with-simplex-coding-1209.1360"/></url>
<url><loc>https://scifaro.com/en/abs/on-spatial-selectivity-and-prediction-across-conditions-with-fmri-1209.1450</loc><lastmod>2012-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-spatial-selectivity-and-prediction-across-conditions-with-fmri-1209.1450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-spatial-selectivity-and-prediction-across-conditions-with-fmri-1209.1450"/></url>
<url><loc>https://scifaro.com/en/abs/learning-model-based-sparsity-via-projected-gradient-descent-1209.1557</loc><lastmod>2016-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-model-based-sparsity-via-projected-gradient-descent-1209.1557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-model-based-sparsity-via-projected-gradient-descent-1209.1557"/></url>
<url><loc>https://scifaro.com/en/abs/bandits-with-heavy-tail-1209.1727</loc><lastmod>2012-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandits-with-heavy-tail-1209.1727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandits-with-heavy-tail-1209.1727"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-dual-coordinate-ascent-methods-for-regularized-loss-minimization-1209.1873</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-dual-coordinate-ascent-methods-for-regularized-loss-minimization-1209.1873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-dual-coordinate-ascent-methods-for-regularized-loss-minimization-1209.1873"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-boosting-model-1209.1996</loc><lastmod>2012-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-boosting-model-1209.1996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-boosting-model-1209.1996"/></url>
<url><loc>https://scifaro.com/en/abs/query-complexity-of-derivative-free-optimization-1209.2434</loc><lastmod>2012-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/query-complexity-of-derivative-free-optimization-1209.2434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/query-complexity-of-derivative-free-optimization-1209.2434"/></url>
<url><loc>https://scifaro.com/en/abs/positivity-and-transportation-1209.2655</loc><lastmod>2012-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/positivity-and-transportation-1209.2655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/positivity-and-transportation-1209.2655"/></url>
<url><loc>https://scifaro.com/en/abs/signal-recovery-in-unions-of-subspaces-with-applications-to-compressive-imaging-1209.3079</loc><lastmod>2012-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/signal-recovery-in-unions-of-subspaces-with-applications-to-compressive-imaging-1209.3079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/signal-recovery-in-unions-of-subspaces-with-applications-to-compressive-imaging-1209.3079"/></url>
<url><loc>https://scifaro.com/en/abs/link-prediction-in-graphs-with-autoregressive-features-1209.3230</loc><lastmod>2012-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/link-prediction-in-graphs-with-autoregressive-features-1209.3230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/link-prediction-in-graphs-with-autoregressive-features-1209.3230"/></url>
<url><loc>https://scifaro.com/en/abs/recovering-block-structured-activations-using-compressive-measurements-1209.3431</loc><lastmod>2013-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovering-block-structured-activations-using-compressive-measurements-1209.3431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovering-block-structured-activations-using-compressive-measurements-1209.3431"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-canonical-correlation-analysis-for-disparate-data-fusion-1209.3761</loc><lastmod>2012-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-canonical-correlation-analysis-for-disparate-data-fusion-1209.3761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-canonical-correlation-analysis-for-disparate-data-fusion-1209.3761"/></url>
<url><loc>https://scifaro.com/en/abs/transferring-subspaces-between-subjects-in-brain-computer-interfacing-1209.4115</loc><lastmod>2013-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transferring-subspaces-between-subjects-in-brain-computer-interfacing-1209.4115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transferring-subspaces-between-subjects-in-brain-computer-interfacing-1209.4115"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-multidimensional-inference-for-structured-gaussian-processes-1209.4120</loc><lastmod>2012-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-multidimensional-inference-for-structured-gaussian-processes-1209.4120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-multidimensional-inference-for-structured-gaussian-processes-1209.4120"/></url>
<url><loc>https://scifaro.com/en/abs/comunication-efficient-algorithms-for-statistical-optimization-1209.4129</loc><lastmod>2013-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comunication-efficient-algorithms-for-statistical-optimization-1209.4129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comunication-efficient-algorithms-for-statistical-optimization-1209.4129"/></url>
<url><loc>https://scifaro.com/en/abs/alpha-beta-divergences-and-tweedie-models-1209.4280</loc><lastmod>2012-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alpha-beta-divergences-and-tweedie-models-1209.4280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alpha-beta-divergences-and-tweedie-models-1209.4280"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-in-nonconjugate-models-1209.4360</loc><lastmod>2013-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-in-nonconjugate-models-1209.4360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-in-nonconjugate-models-1209.4360"/></url>
<url><loc>https://scifaro.com/en/abs/regression-trees-for-longitudinal-and-multiresponse-data-1209.4690</loc><lastmod>2013-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regression-trees-for-longitudinal-and-multiresponse-data-1209.4690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regression-trees-for-longitudinal-and-multiresponse-data-1209.4690"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-the-spice-method-1209.4887</loc><lastmod>2015-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-the-spice-method-1209.4887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-the-spice-method-1209.4887"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-model-free-estimation-of-multiclass-conditional-probability-1209.4951</loc><lastmod>2013-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-model-free-estimation-of-multiclass-conditional-probability-1209.4951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-model-free-estimation-of-multiclass-conditional-probability-1209.4951"/></url>
<url><loc>https://scifaro.com/en/abs/gemini-graph-estimation-with-matrix-variate-normal-instances-1209.5075</loc><lastmod>2014-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gemini-graph-estimation-with-matrix-variate-normal-instances-1209.5075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gemini-graph-estimation-with-matrix-variate-normal-instances-1209.5075"/></url>
<url><loc>https://scifaro.com/en/abs/learning-topic-models-and-latent-bayesian-networks-under-expansion-constraints-1209.5350</loc><lastmod>2013-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-topic-models-and-latent-bayesian-networks-under-expansion-constraints-1209.5350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-topic-models-and-latent-bayesian-networks-under-expansion-constraints-1209.5350"/></url>
<url><loc>https://scifaro.com/en/abs/improving-accuracy-and-power-with-transfer-learning-using-a-meta-analytic-database-1209.5375</loc><lastmod>2012-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-accuracy-and-power-with-transfer-learning-using-a-meta-analytic-database-1209.5375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-accuracy-and-power-with-transfer-learning-using-a-meta-analytic-database-1209.5375"/></url>
<url><loc>https://scifaro.com/en/abs/minimizing-inter-subject-variability-in-fnirs-based-brain-computer-interfaces-via-multiple-kernel-support-vector-learning-1209.5467</loc><lastmod>2013-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimizing-inter-subject-variability-in-fnirs-based-brain-computer-interfaces-via-multiple-kernel-support-vector-learning-1209.5467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimizing-inter-subject-variability-in-fnirs-based-brain-computer-interfaces-via-multiple-kernel-support-vector-learning-1209.5467"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-weighting-of-multi-view-data-with-low-dimensional-hidden-states-1209.5477</loc><lastmod>2012-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-weighting-of-multi-view-data-with-low-dimensional-hidden-states-1209.5477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-weighting-of-multi-view-data-with-low-dimensional-hidden-states-1209.5477"/></url>
<url><loc>https://scifaro.com/en/abs/reversible-mcmc-on-markov-equivalence-classes-of-sparse-directed-acyclic-graphs-1209.5860</loc><lastmod>2014-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reversible-mcmc-on-markov-equivalence-classes-of-sparse-directed-acyclic-graphs-1209.5860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reversible-mcmc-on-markov-equivalence-classes-of-sparse-directed-acyclic-graphs-1209.5860"/></url>
<url><loc>https://scifaro.com/en/abs/the-issue-adjusted-ideal-point-model-1209.6004</loc><lastmod>2012-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-issue-adjusted-ideal-point-model-1209.6004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-issue-adjusted-ideal-point-model-1209.6004"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-ising-models-with-covariates-1209.6342</loc><lastmod>2012-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-ising-models-with-covariates-1209.6342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-ising-models-with-covariates-1209.6342"/></url>
<url><loc>https://scifaro.com/en/abs/local-stability-and-robustness-of-sparse-dictionary-learning-in-the-presence-of-noise-1210.0685</loc><lastmod>2012-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-stability-and-robustness-of-sparse-dictionary-learning-in-the-presence-of-noise-1210.0685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-stability-and-robustness-of-sparse-dictionary-learning-in-the-presence-of-noise-1210.0685"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-of-linear-classifiers-on-articles-containing-pharmacokinetic-evidence-of-drug-drug-interactions-1210.0734</loc><lastmod>2013-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-of-linear-classifiers-on-articles-containing-pharmacokinetic-evidence-of-drug-drug-interactions-1210.0734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-of-linear-classifiers-on-articles-containing-pharmacokinetic-evidence-of-drug-drug-interactions-1210.0734"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-compression-based-similarity-measure-with-applications-to-content-based-image-retrieval-1210.0758</loc><lastmod>2012-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-compression-based-similarity-measure-with-applications-to-content-based-image-retrieval-1210.0758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-compression-based-similarity-measure-with-applications-to-content-based-image-retrieval-1210.0758"/></url>
<url><loc>https://scifaro.com/en/abs/robust-pca-and-subspace-tracking-from-incomplete-observations-using-l0-surrogates-1210.0805</loc><lastmod>2013-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-pca-and-subspace-tracking-from-incomplete-observations-using-l0-surrogates-1210.0805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-pca-and-subspace-tracking-from-incomplete-observations-using-l0-surrogates-1210.0805"/></url>
<url><loc>https://scifaro.com/en/abs/smooth-sparse-coding-via-marginal-regression-for-learning-sparse-representations-1210.1121</loc><lastmod>2012-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smooth-sparse-coding-via-marginal-regression-for-learning-sparse-representations-1210.1121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smooth-sparse-coding-via-marginal-regression-for-learning-sparse-representations-1210.1121"/></url>
<url><loc>https://scifaro.com/en/abs/fast-conical-hull-algorithms-for-near-separable-non-negative-matrix-factorization-1210.1190</loc><lastmod>2012-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-conical-hull-algorithms-for-near-separable-non-negative-matrix-factorization-1210.1190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-conical-hull-algorithms-for-near-separable-non-negative-matrix-factorization-1210.1190"/></url>
<url><loc>https://scifaro.com/en/abs/information-fusion-in-multi-task-gaussian-processes-1210.1928</loc><lastmod>2013-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-fusion-in-multi-task-gaussian-processes-1210.1928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-fusion-in-multi-task-gaussian-processes-1210.1928"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-via-l1-penalized-squared-loss-mutual-information-1210.1960</loc><lastmod>2015-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-via-l1-penalized-squared-loss-mutual-information-1210.1960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-via-l1-penalized-squared-loss-mutual-information-1210.1960"/></url>
<url><loc>https://scifaro.com/en/abs/sparsity-by-worst-case-penalties-1210.2077</loc><lastmod>2017-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsity-by-worst-case-penalties-1210.2077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsity-by-worst-case-penalties-1210.2077"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-aware-learning-1210.2085</loc><lastmod>2013-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-aware-learning-1210.2085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-aware-learning-1210.2085"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-modelling-of-multiple-short-time-series-1210.2503</loc><lastmod>2012-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-modelling-of-multiple-short-time-series-1210.2503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-modelling-of-multiple-short-time-series-1210.2503"/></url>
<url><loc>https://scifaro.com/en/abs/cost-sensitive-tree-of-classifiers-1210.2771</loc><lastmod>2013-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-sensitive-tree-of-classifiers-1210.2771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-sensitive-tree-of-classifiers-1210.2771"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-detection-and-tracking-of-arbitrary-objects-with-dependent-dirichlet-process-mixtures-1210.3288</loc><lastmod>2012-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-detection-and-tracking-of-arbitrary-objects-with-dependent-dirichlet-process-mixtures-1210.3288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-detection-and-tracking-of-arbitrary-objects-with-dependent-dirichlet-process-mixtures-1210.3288"/></url>
<url><loc>https://scifaro.com/en/abs/improved-graph-clustering-1210.3335</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-graph-clustering-1210.3335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-graph-clustering-1210.3335"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-classification-through-the-bag-of-paths-group-betweenness-1210.4276</loc><lastmod>2012-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-classification-through-the-bag-of-paths-group-betweenness-1210.4276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-classification-through-the-bag-of-paths-group-betweenness-1210.4276"/></url>
<url><loc>https://scifaro.com/en/abs/hilbert-space-embedding-for-dirichlet-process-mixtures-1210.4347</loc><lastmod>2012-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hilbert-space-embedding-for-dirichlet-process-mixtures-1210.4347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hilbert-space-embedding-for-dirichlet-process-mixtures-1210.4347"/></url>
<url><loc>https://scifaro.com/en/abs/fast-svm-based-feature-elimination-utilizing-data-radius-hard-margin-soft-margin-1210.4460</loc><lastmod>2014-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-svm-based-feature-elimination-utilizing-data-radius-hard-margin-soft-margin-1210.4460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-svm-based-feature-elimination-utilizing-data-radius-hard-margin-soft-margin-1210.4460"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-matrix-valued-kernel-learning-for-high-dimensional-nonlinear-multivariate-regression-and-granger-causality-1210.4792</loc><lastmod>2013-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-matrix-valued-kernel-learning-for-high-dimensional-nonlinear-multivariate-regression-and-granger-causality-1210.4792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-matrix-valued-kernel-learning-for-high-dimensional-nonlinear-multivariate-regression-and-granger-causality-1210.4792"/></url>
<url><loc>https://scifaro.com/en/abs/latent-composite-likelihood-learning-for-the-structured-canonical-correlation-model-1210.4905</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-composite-likelihood-learning-for-the-structured-canonical-correlation-model-1210.4905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-composite-likelihood-learning-for-the-structured-canonical-correlation-model-1210.4905"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-reconstruction-with-the-local-max-norm-1210.5196</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-reconstruction-with-the-local-max-norm-1210.5196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-reconstruction-with-the-local-max-norm-1210.5196"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-stratified-sampling-for-monte-carlo-integration-of-differentiable-functions-1210.5345</loc><lastmod>2012-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-stratified-sampling-for-monte-carlo-integration-of-differentiable-functions-1210.5345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-stratified-sampling-for-monte-carlo-integration-of-differentiable-functions-1210.5345"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-factors-of-variation-via-generative-entangling-1210.5474</loc><lastmod>2012-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-factors-of-variation-via-generative-entangling-1210.5474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-factors-of-variation-via-generative-entangling-1210.5474"/></url>
<url><loc>https://scifaro.com/en/abs/content-boosted-matrix-factorization-techniques-for-recommender-systems-1210.5631</loc><lastmod>2013-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/content-boosted-matrix-factorization-techniques-for-recommender-systems-1210.5631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/content-boosted-matrix-factorization-techniques-for-recommender-systems-1210.5631"/></url>
<url><loc>https://scifaro.com/en/abs/multi-stage-multi-task-feature-learning-1210.5806</loc><lastmod>2012-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-stage-multi-task-feature-learning-1210.5806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-stage-multi-task-feature-learning-1210.5806"/></url>
<url><loc>https://scifaro.com/en/abs/initialization-of-self-organizing-maps-principal-components-versus-random-initialization-a-case-study-1210.5873</loc><lastmod>2012-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/initialization-of-self-organizing-maps-principal-components-versus-random-initialization-a-case-study-1210.5873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/initialization-of-self-organizing-maps-principal-components-versus-random-initialization-a-case-study-1210.5873"/></url>
<url><loc>https://scifaro.com/en/abs/further-properties-of-gaussian-reproducing-kernel-hilbert-spaces-1210.6170</loc><lastmod>2012-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/further-properties-of-gaussian-reproducing-kernel-hilbert-spaces-1210.6170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/further-properties-of-gaussian-reproducing-kernel-hilbert-spaces-1210.6170"/></url>
<url><loc>https://scifaro.com/en/abs/high-quality-topic-extraction-from-business-news-explains-abnormal-financial-market-volatility-1210.6321</loc><lastmod>2015-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-quality-topic-extraction-from-business-news-explains-abnormal-financial-market-volatility-1210.6321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-quality-topic-extraction-from-business-news-explains-abnormal-financial-market-volatility-1210.6321"/></url>
<url><loc>https://scifaro.com/en/abs/nested-hierarchical-dirichlet-processes-1210.6738</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nested-hierarchical-dirichlet-processes-1210.6738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nested-hierarchical-dirichlet-processes-1210.6738"/></url>
<url><loc>https://scifaro.com/en/abs/managing-sparsity-time-and-quality-of-inference-in-topic-models-1210.7053</loc><lastmod>2013-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/managing-sparsity-time-and-quality-of-inference-in-topic-models-1210.7053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/managing-sparsity-time-and-quality-of-inference-in-topic-models-1210.7053"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-sparse-principal-component-analysis-with-application-to-text-data-1210.7054</loc><lastmod>2012-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-sparse-principal-component-analysis-with-application-to-text-data-1210.7054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-sparse-principal-component-analysis-with-application-to-text-data-1210.7054"/></url>
<url><loc>https://scifaro.com/en/abs/graph-estimation-from-multi-attribute-data-1210.7665</loc><lastmod>2013-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-estimation-from-multi-attribute-data-1210.7665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-estimation-from-multi-attribute-data-1210.7665"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-autoencoding-restricted-boltzmann-machine-1210.8353</loc><lastmod>2012-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-autoencoding-restricted-boltzmann-machine-1210.8353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-autoencoding-restricted-boltzmann-machine-1210.8353"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-in-time-series-of-graphs-using-fusion-of-graph-invariants-1210.8429</loc><lastmod>2015-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-in-time-series-of-graphs-using-fusion-of-graph-invariants-1210.8429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-in-time-series-of-graphs-using-fusion-of-graph-invariants-1210.8429"/></url>
<url><loc>https://scifaro.com/en/abs/deep-gaussian-processes-1211.0358</loc><lastmod>2013-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-gaussian-processes-1211.0358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-gaussian-processes-1211.0358"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-point-to-subspace-query-in-ell-1-theory-and-applications-in-computer-vision-1211.0757</loc><lastmod>2012-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-point-to-subspace-query-in-ell-1-theory-and-applications-in-computer-vision-1211.0757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-point-to-subspace-query-in-ell-1-theory-and-applications-in-computer-vision-1211.0757"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-k-nearest-neighbors-and-potential-energy-method-in-classification-problem-a-case-study-using-knn-applet-by-e-m-mirkes-and-real-life-benchmark-data-sets-1211.0879</loc><lastmod>2012-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-k-nearest-neighbors-and-potential-energy-method-in-classification-problem-a-case-study-using-knn-applet-by-e-m-mirkes-and-real-life-benchmark-data-sets-1211.0879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-k-nearest-neighbors-and-potential-energy-method-in-classification-problem-a-case-study-using-knn-applet-by-e-m-mirkes-and-real-life-benchmark-data-sets-1211.0879"/></url>
<url><loc>https://scifaro.com/en/abs/apple-approximate-path-for-penalized-likelihood-estimators-1211.0889</loc><lastmod>2013-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/apple-approximate-path-for-penalized-likelihood-estimators-1211.0889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/apple-approximate-path-for-penalized-likelihood-estimators-1211.0889"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-covariance-decomposition-into-sparse-markov-and-independence-models-1211.0919</loc><lastmod>2013-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-covariance-decomposition-into-sparse-markov-and-independence-models-1211.0919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-covariance-decomposition-into-sparse-markov-and-independence-models-1211.0919"/></url>
<url><loc>https://scifaro.com/en/abs/kernels-and-submodels-of-deep-belief-networks-1211.0932</loc><lastmod>2012-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernels-and-submodels-of-deep-belief-networks-1211.0932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernels-and-submodels-of-deep-belief-networks-1211.0932"/></url>
<url><loc>https://scifaro.com/en/abs/kernelized-bayesian-matrix-factorization-1211.1275</loc><lastmod>2013-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernelized-bayesian-matrix-factorization-1211.1275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernelized-bayesian-matrix-factorization-1211.1275"/></url>
<url><loc>https://scifaro.com/en/abs/random-walk-kernels-and-learning-curves-for-gaussian-process-regression-on-random-graphs-1211.1328</loc><lastmod>2013-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-walk-kernels-and-learning-curves-for-gaussian-process-regression-on-random-graphs-1211.1328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-walk-kernels-and-learning-curves-for-gaussian-process-regression-on-random-graphs-1211.1328"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-dimension-reduction-on-massive-data-1211.1642</loc><lastmod>2013-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-dimension-reduction-on-massive-data-1211.1642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-dimension-reduction-on-massive-data-1211.1642"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-network-guided-multi-locus-association-mapping-with-graph-cuts-1211.2315</loc><lastmod>2013-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-network-guided-multi-locus-association-mapping-with-graph-cuts-1211.2315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-network-guided-multi-locus-association-mapping-with-graph-cuts-1211.2315"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-stochastic-dual-coordinate-ascent-1211.2717</loc><lastmod>2012-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-stochastic-dual-coordinate-ascent-1211.2717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-stochastic-dual-coordinate-ascent-1211.2717"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-scenario-forecasting-1211.3010</loc><lastmod>2012-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-scenario-forecasting-1211.3010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-scenario-forecasting-1211.3010"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-density-estimation-in-arbitrary-finite-dimensions-using-the-method-of-stationary-phase-1211.3038</loc><lastmod>2017-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-density-estimation-in-arbitrary-finite-dimensions-using-the-method-of-stationary-phase-1211.3038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-density-estimation-in-arbitrary-finite-dimensions-using-the-method-of-stationary-phase-1211.3038"/></url>
<url><loc>https://scifaro.com/en/abs/order-independent-constraint-based-causal-structure-learning-1211.3295</loc><lastmod>2013-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/order-independent-constraint-based-causal-structure-learning-1211.3295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/order-independent-constraint-based-causal-structure-learning-1211.3295"/></url>
<url><loc>https://scifaro.com/en/abs/a-truncated-em-approach-for-spike-and-slab-sparse-coding-1211.3589</loc><lastmod>2014-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-truncated-em-approach-for-spike-and-slab-sparse-coding-1211.3589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-truncated-em-approach-for-spike-and-slab-sparse-coding-1211.3589"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-inference-on-errorfully-observed-graphs-1211.3601</loc><lastmod>2014-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-inference-on-errorfully-observed-graphs-1211.3601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-inference-on-errorfully-observed-graphs-1211.3601"/></url>
<url><loc>https://scifaro.com/en/abs/data-clustering-via-principal-direction-gap-partitioning-1211.4142</loc><lastmod>2012-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-clustering-via-principal-direction-gap-partitioning-1211.4142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-clustering-via-principal-direction-gap-partitioning-1211.4142"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-nonparametric-models-for-ranked-data-1211.4321</loc><lastmod>2012-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-nonparametric-models-for-ranked-data-1211.4321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-nonparametric-models-for-ranked-data-1211.4321"/></url>
<url><loc>https://scifaro.com/en/abs/random-input-sampling-for-complex-models-using-markov-chain-monte-carlo-1211.4706</loc><lastmod>2012-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-input-sampling-for-complex-models-using-markov-chain-monte-carlo-1211.4706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-input-sampling-for-complex-models-using-markov-chain-monte-carlo-1211.4706"/></url>
<url><loc>https://scifaro.com/en/abs/a-unifying-representation-for-a-class-of-dependent-random-measures-1211.4753</loc><lastmod>2012-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unifying-representation-for-a-class-of-dependent-random-measures-1211.4753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unifying-representation-for-a-class-of-dependent-random-measures-1211.4753"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-non-exchangeable-priors-for-bayesian-nonparametric-models-1211.4798</loc><lastmod>2012-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-non-exchangeable-priors-for-bayesian-nonparametric-models-1211.4798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-non-exchangeable-priors-for-bayesian-nonparametric-models-1211.4798"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-nonparametric-plackett-luce-models-for-the-analysis-of-preferences-for-college-degree-programmes-1211.5037</loc><lastmod>2014-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-nonparametric-plackett-luce-models-for-the-analysis-of-preferences-for-college-degree-programmes-1211.5037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-nonparametric-plackett-luce-models-for-the-analysis-of-preferences-for-college-degree-programmes-1211.5037"/></url>
<url><loc>https://scifaro.com/en/abs/on-pattern-recovery-of-the-fused-lasso-1211.5194</loc><lastmod>2012-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-pattern-recovery-of-the-fused-lasso-1211.5194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-pattern-recovery-of-the-fused-lasso-1211.5194"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-learning-of-noisy-markov-decision-processes-1211.5901</loc><lastmod>2012-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-learning-of-noisy-markov-decision-processes-1211.5901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-learning-of-noisy-markov-decision-processes-1211.5901"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-analysis-of-hottopixx-a-linear-programming-model-for-factoring-nonnegative-matrices-1211.6687</loc><lastmod>2013-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-analysis-of-hottopixx-a-linear-programming-model-for-factoring-nonnegative-matrices-1211.6687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-analysis-of-hottopixx-a-linear-programming-model-for-factoring-nonnegative-matrices-1211.6687"/></url>
<url><loc>https://scifaro.com/en/abs/overlapping-clustering-based-on-kernel-similarity-metric-1211.6859</loc><lastmod>2012-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overlapping-clustering-based-on-kernel-similarity-metric-1211.6859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overlapping-clustering-based-on-kernel-similarity-metric-1211.6859"/></url>
<url><loc>https://scifaro.com/en/abs/exact-and-efficient-parallel-inference-for-nonparametric-mixture-models-1211.7120</loc><lastmod>2012-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-and-efficient-parallel-inference-for-nonparametric-mixture-models-1211.7120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-and-efficient-parallel-inference-for-nonparametric-mixture-models-1211.7120"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-rank-detecting-factorization-of-low-rank-tensors-1211.7369</loc><lastmod>2012-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-rank-detecting-factorization-of-low-rank-tensors-1211.7369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-rank-detecting-factorization-of-low-rank-tensors-1211.7369"/></url>
<url><loc>https://scifaro.com/en/abs/hypergraph-and-protein-function-prediction-with-gene-expression-data-1212.0388</loc><lastmod>2012-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypergraph-and-protein-function-prediction-with-gene-expression-data-1212.0388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypergraph-and-protein-function-prediction-with-gene-expression-data-1212.0388"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-matrix-completion-using-alternating-minimization-1212.0467</loc><lastmod>2012-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-matrix-completion-using-alternating-minimization-1212.0467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-matrix-completion-using-alternating-minimization-1212.0467"/></url>
<url><loc>https://scifaro.com/en/abs/structure-estimation-for-discrete-graphical-models-generalized-covariance-matrices-and-their-inverses-1212.0478</loc><lastmod>2014-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-estimation-for-discrete-graphical-models-generalized-covariance-matrices-and-their-inverses-1212.0478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-estimation-for-discrete-graphical-models-generalized-covariance-matrices-and-their-inverses-1212.0478"/></url>
<url><loc>https://scifaro.com/en/abs/multiclass-diffuse-interface-models-for-semi-supervised-learning-on-graphs-1212.0945</loc><lastmod>2012-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiclass-diffuse-interface-models-for-semi-supervised-learning-on-graphs-1212.0945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiclass-diffuse-interface-models-for-semi-supervised-learning-on-graphs-1212.0945"/></url>
<url><loc>https://scifaro.com/en/abs/on-some-integrated-approaches-to-inference-1212.1180</loc><lastmod>2012-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-some-integrated-approaches-to-inference-1212.1180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-some-integrated-approaches-to-inference-1212.1180"/></url>
<url><loc>https://scifaro.com/en/abs/universally-consistent-vertex-classification-for-latent-positions-graphs-1212.1182</loc><lastmod>2013-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universally-consistent-vertex-classification-for-latent-positions-graphs-1212.1182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universally-consistent-vertex-classification-for-latent-positions-graphs-1212.1182"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-probabilistic-continuous-complexity-conjecture-1212.1263</loc><lastmod>2012-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-probabilistic-continuous-complexity-conjecture-1212.1263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-probabilistic-continuous-complexity-conjecture-1212.1263"/></url>
<url><loc>https://scifaro.com/en/abs/excess-risk-bounds-for-multitask-learning-with-trace-norm-regularization-1212.1496</loc><lastmod>2013-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/excess-risk-bounds-for-multitask-learning-with-trace-norm-regularization-1212.1496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/excess-risk-bounds-for-multitask-learning-with-trace-norm-regularization-1212.1496"/></url>
<url><loc>https://scifaro.com/en/abs/developments-in-the-theory-of-randomized-shortest-paths-with-a-comparison-of-graph-node-distances-1212.1666</loc><lastmod>2015-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/developments-in-the-theory-of-randomized-shortest-paths-with-a-comparison-of-graph-node-distances-1212.1666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/developments-in-the-theory-of-randomized-shortest-paths-with-a-comparison-of-graph-node-distances-1212.1666"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-comparison-of-v-fold-penalisation-and-cross-validation-for-model-selection-in-distribution-free-regression-1212.1780</loc><lastmod>2012-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-comparison-of-v-fold-penalisation-and-cross-validation-for-model-selection-in-distribution-free-regression-1212.1780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-comparison-of-v-fold-penalisation-and-cross-validation-for-model-selection-in-distribution-free-regression-1212.1780"/></url>
<url><loc>https://scifaro.com/en/abs/mad-bayes-map-based-asymptotic-derivations-from-bayes-1212.2126</loc><lastmod>2013-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mad-bayes-map-based-asymptotic-derivations-from-bayes-1212.2126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mad-bayes-map-based-asymptotic-derivations-from-bayes-1212.2126"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayesian-learning-and-domain-adaptation-1212.2340</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayesian-learning-and-domain-adaptation-1212.2340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayesian-learning-and-domain-adaptation-1212.2340"/></url>
<url><loc>https://scifaro.com/en/abs/joint-training-of-deep-boltzmann-machines-1212.2686</loc><lastmod>2012-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-training-of-deep-boltzmann-machines-1212.2686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-training-of-deep-boltzmann-machines-1212.2686"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-one-mode-projection-for-dynamic-bipartite-graphs-1212.2767</loc><lastmod>2012-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-one-mode-projection-for-dynamic-bipartite-graphs-1212.2767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-one-mode-projection-for-dynamic-bipartite-graphs-1212.2767"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparse-low-threshold-linear-classifiers-1212.3276</loc><lastmod>2016-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparse-low-threshold-linear-classifiers-1212.3276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparse-low-threshold-linear-classifiers-1212.3276"/></url>
<url><loc>https://scifaro.com/en/abs/a-tutorial-on-probabilistic-latent-semantic-analysis-1212.3900</loc><lastmod>2012-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tutorial-on-probabilistic-latent-semantic-analysis-1212.3900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tutorial-on-probabilistic-latent-semantic-analysis-1212.3900"/></url>
<url><loc>https://scifaro.com/en/abs/alternating-maximization-unifying-framework-for-8-sparse-pca-formulations-and-efficient-parallel-codes-1212.4137</loc><lastmod>2020-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alternating-maximization-unifying-framework-for-8-sparse-pca-formulations-and-efficient-parallel-codes-1212.4137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alternating-maximization-unifying-framework-for-8-sparse-pca-formulations-and-efficient-parallel-codes-1212.4137"/></url>
<url><loc>https://scifaro.com/en/abs/feature-clustering-for-accelerating-parallel-coordinate-descent-1212.4174</loc><lastmod>2012-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-clustering-for-accelerating-parallel-coordinate-descent-1212.4174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-clustering-for-accelerating-parallel-coordinate-descent-1212.4174"/></url>
<url><loc>https://scifaro.com/en/abs/variational-optimization-1212.4507</loc><lastmod>2012-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-optimization-1212.4507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-optimization-1212.4507"/></url>
<url><loc>https://scifaro.com/en/abs/a-complexity-analysis-of-statistical-learning-algorithms-1212.4562</loc><lastmod>2012-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-complexity-analysis-of-statistical-learning-algorithms-1212.4562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-complexity-analysis-of-statistical-learning-algorithms-1212.4562"/></url>
<url><loc>https://scifaro.com/en/abs/feature-vector-regularization-in-machine-learning-1212.4569</loc><lastmod>2013-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-vector-regularization-in-machine-learning-1212.4569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-vector-regularization-in-machine-learning-1212.4569"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-post-picking-using-mappos-improves-particle-image-detection-from-cryo-em-micrographs-1212.4871</loc><lastmod>2012-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-post-picking-using-mappos-improves-particle-image-detection-from-cryo-em-micrographs-1212.4871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-post-picking-using-mappos-improves-particle-image-detection-from-cryo-em-micrographs-1212.4871"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-classification-in-sparse-gaussian-graphic-model-1212.5332</loc><lastmod>2013-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-classification-in-sparse-gaussian-graphic-model-1212.5332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-classification-in-sparse-gaussian-graphic-model-1212.5332"/></url>
<url><loc>https://scifaro.com/en/abs/exponentially-weighted-moving-average-charts-for-detecting-concept-drift-1212.6018</loc><lastmod>2012-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponentially-weighted-moving-average-charts-for-detecting-concept-drift-1212.6018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponentially-weighted-moving-average-charts-for-detecting-concept-drift-1212.6018"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-regression-with-heteroscedastic-or-non-gaussian-residuals-1212.6246</loc><lastmod>2012-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-regression-with-heteroscedastic-or-non-gaussian-residuals-1212.6246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-regression-with-heteroscedastic-or-non-gaussian-residuals-1212.6246"/></url>
<url><loc>https://scifaro.com/en/abs/on-line-relational-som-for-dissimilarity-data-1212.6316</loc><lastmod>2013-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-line-relational-som-for-dissimilarity-data-1212.6316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-line-relational-som-for-dissimilarity-data-1212.6316"/></url>
<url><loc>https://scifaro.com/en/abs/focus-of-attention-for-linear-predictors-1212.6659</loc><lastmod>2013-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/focus-of-attention-for-linear-predictors-1212.6659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/focus-of-attention-for-linear-predictors-1212.6659"/></url>
<url><loc>https://scifaro.com/en/abs/blind-analysis-of-egm-signals-sparsity-aware-formulation-1212.6936</loc><lastmod>2013-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blind-analysis-of-egm-signals-sparsity-aware-formulation-1212.6936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blind-analysis-of-egm-signals-sparsity-aware-formulation-1212.6936"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-domain-adaptation-with-non-parametric-copulas-1301.0142</loc><lastmod>2013-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-domain-adaptation-with-non-parametric-copulas-1301.0142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-domain-adaptation-with-non-parametric-copulas-1301.0142"/></url>
<url><loc>https://scifaro.com/en/abs/validation-of-soft-classification-models-using-partial-class-memberships-an-extended-concept-of-sensitivity-co-applied-to-the-grading-of-astrocytoma-tissues-1301.0264</loc><lastmod>2013-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/validation-of-soft-classification-models-using-partial-class-memberships-an-extended-concept-of-sensitivity-co-applied-to-the-grading-of-astrocytoma-tissues-1301.0264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/validation-of-soft-classification-models-using-partial-class-memberships-an-extended-concept-of-sensitivity-co-applied-to-the-grading-of-astrocytoma-tissues-1301.0264"/></url>
<url><loc>https://scifaro.com/en/abs/a-method-for-finding-structured-sparse-solutions-to-non-negative-least-squares-problems-with-applications-1301.0413</loc><lastmod>2013-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-method-for-finding-structured-sparse-solutions-to-non-negative-least-squares-problems-with-applications-1301.0413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-method-for-finding-structured-sparse-solutions-to-non-negative-least-squares-problems-with-applications-1301.0413"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-geometric-approach-to-latent-topic-modeling-and-discovery-1301.0858</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-geometric-approach-to-latent-topic-modeling-and-discovery-1301.0858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-geometric-approach-to-latent-topic-modeling-and-discovery-1301.0858"/></url>
<url><loc>https://scifaro.com/en/abs/dynamical-models-and-tracking-regret-in-online-convex-programming-1301.1254</loc><lastmod>2013-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamical-models-and-tracking-regret-in-online-convex-programming-1301.1254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamical-models-and-tracking-regret-in-online-convex-programming-1301.1254"/></url>
<url><loc>https://scifaro.com/en/abs/automated-variational-inference-in-probabilistic-programming-1301.1299</loc><lastmod>2013-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-variational-inference-in-probabilistic-programming-1301.1299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-variational-inference-in-probabilistic-programming-1301.1299"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-eigen-updating-for-spectral-graph-clustering-1301.1318</loc><lastmod>2014-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-eigen-updating-for-spectral-graph-clustering-1301.1318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-eigen-updating-for-spectral-graph-clustering-1301.1318"/></url>
<url><loc>https://scifaro.com/en/abs/a-proximal-newton-framework-for-composite-minimization-graph-learning-without-cholesky-decompositions-and-matrix-inversions-1301.1459</loc><lastmod>2013-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-proximal-newton-framework-for-composite-minimization-graph-learning-without-cholesky-decompositions-and-matrix-inversions-1301.1459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-proximal-newton-framework-for-composite-minimization-graph-learning-without-cholesky-decompositions-and-matrix-inversions-1301.1459"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-reduced-rank-regression-1301.1919</loc><lastmod>2013-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-reduced-rank-regression-1301.1919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-reduced-rank-regression-1301.1919"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-in-a-billion-dimensions-via-random-embeddings-1301.1942</loc><lastmod>2016-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-in-a-billion-dimensions-via-random-embeddings-1301.1942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-in-a-billion-dimensions-via-random-embeddings-1301.1942"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-incommensurability-phenomenon-1301.1954</loc><lastmod>2024-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-incommensurability-phenomenon-1301.1954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-incommensurability-phenomenon-1301.1954"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-clustering-based-on-local-pca-1301.2007</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-clustering-based-on-local-pca-1301.2007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-clustering-based-on-local-pca-1301.2007"/></url>
<url><loc>https://scifaro.com/en/abs/heteroscedastic-relevance-vector-machine-1301.2015</loc><lastmod>2013-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heteroscedastic-relevance-vector-machine-1301.2015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heteroscedastic-relevance-vector-machine-1301.2015"/></url>
<url><loc>https://scifaro.com/en/abs/domain-generalization-via-invariant-feature-representation-1301.2115</loc><lastmod>2013-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-generalization-via-invariant-feature-representation-1301.2115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-generalization-via-invariant-feature-representation-1301.2115"/></url>
<url><loc>https://scifaro.com/en/abs/network-based-clustering-with-mixtures-of-l1-penalized-gaussian-graphical-models-an-empirical-investigation-1301.2194</loc><lastmod>2013-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-based-clustering-with-mixtures-of-l1-penalized-gaussian-graphical-models-an-empirical-investigation-1301.2194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-based-clustering-with-mixtures-of-l1-penalized-gaussian-graphical-models-an-empirical-investigation-1301.2194"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-functional-regression-with-both-discrete-and-continuous-covariates-1301.2656</loc><lastmod>2013-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-functional-regression-with-both-discrete-and-continuous-covariates-1301.2656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-functional-regression-with-both-discrete-and-continuous-covariates-1301.2656"/></url>
<url><loc>https://scifaro.com/en/abs/perturbative-corrections-for-approximate-inference-in-gaussian-latent-variable-models-1301.2724</loc><lastmod>2013-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perturbative-corrections-for-approximate-inference-in-gaussian-latent-variable-models-1301.2724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perturbative-corrections-for-approximate-inference-in-gaussian-latent-variable-models-1301.2724"/></url>
<url><loc>https://scifaro.com/en/abs/robust-high-dimensional-sparse-regression-and-matching-pursuit-1301.2725</loc><lastmod>2013-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-high-dimensional-sparse-regression-and-matching-pursuit-1301.2725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-high-dimensional-sparse-regression-and-matching-pursuit-1301.2725"/></url>
<url><loc>https://scifaro.com/en/abs/boltzmann-machines-and-denoising-autoencoders-for-image-denoising-1301.3468</loc><lastmod>2013-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boltzmann-machines-and-denoising-autoencoders-for-image-denoising-1301.3468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boltzmann-machines-and-denoising-autoencoders-for-image-denoising-1301.3468"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-classification-with-the-anti-profile-support-vector-machine-1301.3514</loc><lastmod>2013-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-classification-with-the-anti-profile-support-vector-machine-1301.3514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-classification-with-the-anti-profile-support-vector-machine-1301.3514"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-restricted-boltzmann-machines-1301.3529</loc><lastmod>2014-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-restricted-boltzmann-machines-1301.3529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-restricted-boltzmann-machines-1301.3529"/></url>
<url><loc>https://scifaro.com/en/abs/joint-training-deep-boltzmann-machines-for-classification-1301.3568</loc><lastmod>2013-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-training-deep-boltzmann-machines-for-classification-1301.3568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-training-deep-boltzmann-machines-for-classification-1301.3568"/></url>
<url><loc>https://scifaro.com/en/abs/a-nested-hdp-for-hierarchical-topic-models-1301.3570</loc><lastmod>2013-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-nested-hdp-for-hierarchical-topic-models-1301.3570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-nested-hdp-for-hierarchical-topic-models-1301.3570"/></url>
<url><loc>https://scifaro.com/en/abs/jitter-adaptive-dictionary-learning-application-to-multi-trial-neuroelectric-signals-1301.3611</loc><lastmod>2013-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jitter-adaptive-dictionary-learning-application-to-multi-trial-neuroelectric-signals-1301.3611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jitter-adaptive-dictionary-learning-application-to-multi-trial-neuroelectric-signals-1301.3611"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-robust-estimation-and-kalman-smoothing-with-nonsmooth-log-concave-densities-modeling-computation-and-theory-1301.4566</loc><lastmod>2013-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-robust-estimation-and-kalman-smoothing-with-nonsmooth-log-concave-densities-modeling-computation-and-theory-1301.4566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-robust-estimation-and-kalman-smoothing-with-nonsmooth-log-concave-densities-modeling-computation-and-theory-1301.4566"/></url>
<url><loc>https://scifaro.com/en/abs/cellular-tree-classifiers-1301.4679</loc><lastmod>2013-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cellular-tree-classifiers-1301.4679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cellular-tree-classifiers-1301.4679"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-of-a-supervised-learning-approach-for-stock-market-operations-1301.4944</loc><lastmod>2013-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-of-a-supervised-learning-approach-for-stock-market-operations-1301.4944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-of-a-supervised-learning-approach-for-stock-market-operations-1301.4944"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-classification-using-sparse-fisher-s-lda-1301.4976</loc><lastmod>2014-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-classification-using-sparse-fisher-s-lda-1301.4976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-classification-using-sparse-fisher-s-lda-1301.4976"/></url>
<url><loc>https://scifaro.com/en/abs/piecewise-linear-multilayer-perceptrons-and-dropout-1301.5088</loc><lastmod>2013-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/piecewise-linear-multilayer-perceptrons-and-dropout-1301.5088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/piecewise-linear-multilayer-perceptrons-and-dropout-1301.5088"/></url>
<url><loc>https://scifaro.com/en/abs/properties-of-the-least-squares-temporal-difference-learning-algorithm-1301.5220</loc><lastmod>2015-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/properties-of-the-least-squares-temporal-difference-learning-algorithm-1301.5220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/properties-of-the-least-squares-temporal-difference-learning-algorithm-1301.5220"/></url>
<url><loc>https://scifaro.com/en/abs/the-connection-between-bayesian-estimation-of-a-gaussian-random-field-and-rkhs-1301.5288</loc><lastmod>2013-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-connection-between-bayesian-estimation-of-a-gaussian-random-field-and-rkhs-1301.5288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-connection-between-bayesian-estimation-of-a-gaussian-random-field-and-rkhs-1301.5288"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-pairwise-loss-functions-1301.5332</loc><lastmod>2013-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-pairwise-loss-functions-1301.5332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-pairwise-loss-functions-1301.5332"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-and-nonlinearities-for-neural-language-models-when-are-they-needed-1301.5650</loc><lastmod>2013-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-and-nonlinearities-for-neural-language-models-when-are-they-needed-1301.5650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-and-nonlinearities-for-neural-language-models-when-are-they-needed-1301.5650"/></url>
<url><loc>https://scifaro.com/en/abs/an-impossibility-result-for-high-dimensional-supervised-learning-1301.6915</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-impossibility-result-for-high-dimensional-supervised-learning-1301.6915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-impossibility-result-for-high-dimensional-supervised-learning-1301.6915"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-consistency-of-the-bootstrap-approach-for-support-vector-machines-and-related-kernel-based-methods-1301.6944</loc><lastmod>2013-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-consistency-of-the-bootstrap-approach-for-support-vector-machines-and-related-kernel-based-methods-1301.6944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-consistency-of-the-bootstrap-approach-for-support-vector-machines-and-related-kernel-based-methods-1301.6944"/></url>
<url><loc>https://scifaro.com/en/abs/link-prediction-for-partially-observed-networks-1301.7047</loc><lastmod>2013-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/link-prediction-for-partially-observed-networks-1301.7047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/link-prediction-for-partially-observed-networks-1301.7047"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-counting-of-graphical-models-via-mcmc-revisited-1301.7189</loc><lastmod>2013-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-counting-of-graphical-models-via-mcmc-revisited-1301.7189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-counting-of-graphical-models-via-mcmc-revisited-1301.7189"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-free-distribution-regression-1302.0082</loc><lastmod>2013-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-free-distribution-regression-1302.0082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-free-distribution-regression-1302.0082"/></url>
<url><loc>https://scifaro.com/en/abs/regression-shrinkage-and-grouping-of-highly-correlated-predictors-with-horses-1302.0256</loc><lastmod>2013-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regression-shrinkage-and-grouping-of-highly-correlated-predictors-with-horses-1302.0256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regression-shrinkage-and-grouping-of-highly-correlated-predictors-with-horses-1302.0256"/></url>
<url><loc>https://scifaro.com/en/abs/centrality-constrained-graph-embedding-1302.0870</loc><lastmod>2013-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/centrality-constrained-graph-embedding-1302.0870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/centrality-constrained-graph-embedding-1302.0870"/></url>
<url><loc>https://scifaro.com/en/abs/exact-sparse-recovery-with-l0-projections-1302.0895</loc><lastmod>2013-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-sparse-recovery-with-l0-projections-1302.0895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-sparse-recovery-with-l0-projections-1302.0895"/></url>
<url><loc>https://scifaro.com/en/abs/efficiency-for-regularization-parameter-selection-in-penalized-likelihood-estimation-of-misspecified-models-1302.2068</loc><lastmod>2017-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficiency-for-regularization-parameter-selection-in-penalized-likelihood-estimation-of-misspecified-models-1302.2068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficiency-for-regularization-parameter-selection-in-penalized-likelihood-estimation-of-misspecified-models-1302.2068"/></url>
<url><loc>https://scifaro.com/en/abs/toric-grammars-a-new-statistical-approach-to-natural-language-modeling-1302.2569</loc><lastmod>2013-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toric-grammars-a-new-statistical-approach-to-natural-language-modeling-1302.2569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toric-grammars-a-new-statistical-approach-to-natural-language-modeling-1302.2569"/></url>
<url><loc>https://scifaro.com/en/abs/geometrical-complexity-of-data-approximators-1302.2645</loc><lastmod>2016-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometrical-complexity-of-data-approximators-1302.2645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometrical-complexity-of-data-approximators-1302.2645"/></url>
<url><loc>https://scifaro.com/en/abs/competing-with-strategies-1302.2672</loc><lastmod>2013-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/competing-with-strategies-1302.2672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/competing-with-strategies-1302.2672"/></url>
<url><loc>https://scifaro.com/en/abs/towards-identification-of-relevant-variables-in-the-observed-aerosol-optical-depth-bias-between-modis-and-aeronet-observations-1302.2969</loc><lastmod>2015-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-identification-of-relevant-variables-in-the-observed-aerosol-optical-depth-bias-between-modis-and-aeronet-observations-1302.2969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-identification-of-relevant-variables-in-the-observed-aerosol-optical-depth-bias-between-modis-and-aeronet-observations-1302.2969"/></url>
<url><loc>https://scifaro.com/en/abs/a-consistent-clustering-based-approach-to-estimating-the-number-of-change-points-in-highly-dependent-time-series-1302.3407</loc><lastmod>2013-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-consistent-clustering-based-approach-to-estimating-the-number-of-change-points-in-highly-dependent-time-series-1302.3407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-consistent-clustering-based-approach-to-estimating-the-number-of-change-points-in-highly-dependent-time-series-1302.3407"/></url>
<url><loc>https://scifaro.com/en/abs/a-latent-source-model-for-nonparametric-time-series-classification-1302.3639</loc><lastmod>2013-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-latent-source-model-for-nonparametric-time-series-classification-1302.3639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-latent-source-model-for-nonparametric-time-series-classification-1302.3639"/></url>
<url><loc>https://scifaro.com/en/abs/density-ratio-hidden-markov-models-1302.3700</loc><lastmod>2013-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/density-ratio-hidden-markov-models-1302.3700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/density-ratio-hidden-markov-models-1302.3700"/></url>
<url><loc>https://scifaro.com/en/abs/multiclass-data-segmentation-using-diffuse-interface-methods-on-graphs-1302.3913</loc><lastmod>2014-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiclass-data-segmentation-using-diffuse-interface-methods-on-graphs-1302.3913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiclass-data-segmentation-using-diffuse-interface-methods-on-graphs-1302.3913"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-kernels-for-pattern-discovery-and-extrapolation-1302.4245</loc><lastmod>2014-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-kernels-for-pattern-discovery-and-extrapolation-1302.4245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-kernels-for-pattern-discovery-and-extrapolation-1302.4245"/></url>
<url><loc>https://scifaro.com/en/abs/robust-near-separable-nonnegative-matrix-factorization-using-linear-optimization-1302.4385</loc><lastmod>2014-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-near-separable-nonnegative-matrix-factorization-using-linear-optimization-1302.4385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-near-separable-nonnegative-matrix-factorization-using-linear-optimization-1302.4385"/></url>
<url><loc>https://scifaro.com/en/abs/maxout-networks-1302.4389</loc><lastmod>2013-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maxout-networks-1302.4389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maxout-networks-1302.4389"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-discriminant-functions-based-on-sampled-distribution-distance-for-modulation-classification-1302.4773</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-discriminant-functions-based-on-sampled-distribution-distance-for-modulation-classification-1302.4773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-discriminant-functions-based-on-sampled-distribution-distance-for-modulation-classification-1302.4773"/></url>
<url><loc>https://scifaro.com/en/abs/consistency-of-online-random-forests-1302.4853</loc><lastmod>2013-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistency-of-online-random-forests-1302.4853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistency-of-online-random-forests-1302.4853"/></url>
<url><loc>https://scifaro.com/en/abs/fast-methods-for-denoising-matrix-completion-formulations-with-applications-to-robust-seismic-data-interpolation-1302.4886</loc><lastmod>2014-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-methods-for-denoising-matrix-completion-formulations-with-applications-to-robust-seismic-data-interpolation-1302.4886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-methods-for-denoising-matrix-completion-formulations-with-applications-to-robust-seismic-data-interpolation-1302.4886"/></url>
<url><loc>https://scifaro.com/en/abs/structure-discovery-in-nonparametric-regression-through-compositional-kernel-search-1302.4922</loc><lastmod>2013-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-discovery-in-nonparametric-regression-through-compositional-kernel-search-1302.4922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-discovery-in-nonparametric-regression-through-compositional-kernel-search-1302.4922"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-probability-estimation-with-deep-density-models-1302.5125</loc><lastmod>2013-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-probability-estimation-with-deep-density-models-1302.5125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-probability-estimation-with-deep-density-models-1302.5125"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-clustering-with-unbalanced-data-1302.5134</loc><lastmod>2013-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-clustering-with-unbalanced-data-1302.5134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-clustering-with-unbalanced-data-1302.5134"/></url>
<url><loc>https://scifaro.com/en/abs/obtaining-error-minimizing-estimates-and-universal-entry-wise-error-bounds-for-low-rank-matrix-completion-1302.5337</loc><lastmod>2013-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/obtaining-error-minimizing-estimates-and-universal-entry-wise-error-bounds-for-low-rank-matrix-completion-1302.5337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/obtaining-error-minimizing-estimates-and-universal-entry-wise-error-bounds-for-low-rank-matrix-completion-1302.5337"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-linear-svm-training-with-adaptive-variable-selection-frequencies-1302.5608</loc><lastmod>2013-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-linear-svm-training-with-adaptive-variable-selection-frequencies-1302.5608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-linear-svm-training-with-adaptive-variable-selection-frequencies-1302.5608"/></url>
<url><loc>https://scifaro.com/en/abs/convex-vs-nonconvex-approaches-for-sparse-estimation-glasso-multiple-kernel-learning-and-hyperparameter-glasso-1302.6434</loc><lastmod>2013-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-vs-nonconvex-approaches-for-sparse-estimation-glasso-multiple-kernel-learning-and-hyperparameter-glasso-1302.6434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-vs-nonconvex-approaches-for-sparse-estimation-glasso-multiple-kernel-learning-and-hyperparameter-glasso-1302.6434"/></url>
<url><loc>https://scifaro.com/en/abs/a-conformal-prediction-approach-to-explore-functional-data-1302.6452</loc><lastmod>2013-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-conformal-prediction-approach-to-explore-functional-data-1302.6452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-conformal-prediction-approach-to-explore-functional-data-1302.6452"/></url>
<url><loc>https://scifaro.com/en/abs/variational-algorithms-for-marginal-map-1302.6584</loc><lastmod>2013-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-algorithms-for-marginal-map-1302.6584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-algorithms-for-marginal-map-1302.6584"/></url>
<url><loc>https://scifaro.com/en/abs/a-bag-of-paths-framework-for-network-data-analysis-1302.6766</loc><lastmod>2017-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bag-of-paths-framework-for-network-data-analysis-1302.6766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bag-of-paths-framework-for-network-data-analysis-1302.6766"/></url>
<url><loc>https://scifaro.com/en/abs/scoup-smt-scalable-coupled-sparse-matrix-tensor-factorization-1302.7043</loc><lastmod>2013-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scoup-smt-scalable-coupled-sparse-matrix-tensor-factorization-1302.7043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scoup-smt-scalable-coupled-sparse-matrix-tensor-factorization-1302.7043"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-the-maximum-expected-value-an-analysis-of-nested-cross-validation-and-the-maximum-sample-average-1302.7175</loc><lastmod>2013-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-the-maximum-expected-value-an-analysis-of-nested-cross-validation-and-the-maximum-sample-average-1302.7175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-the-maximum-expected-value-an-analysis-of-nested-cross-validation-and-the-maximum-sample-average-1302.7175"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-monte-carlo-based-algorithm-for-the-gaussian-process-classification-problem-1302.7220</loc><lastmod>2013-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-monte-carlo-based-algorithm-for-the-gaussian-process-classification-problem-1302.7220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-monte-carlo-based-algorithm-for-the-gaussian-process-classification-problem-1302.7220"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-consensus-clustering-1302.7280</loc><lastmod>2015-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-consensus-clustering-1302.7280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-consensus-clustering-1302.7280"/></url>
<url><loc>https://scifaro.com/en/abs/one-class-support-measure-machines-for-group-anomaly-detection-1303.0309</loc><lastmod>2013-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-class-support-measure-machines-for-group-anomaly-detection-1303.0309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-class-support-measure-machines-for-group-anomaly-detection-1303.0309"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-pca-through-low-rank-approximations-1303.0551</loc><lastmod>2014-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-pca-through-low-rank-approximations-1303.0551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-pca-through-low-rank-approximations-1303.0551"/></url>
<url><loc>https://scifaro.com/en/abs/top-down-particle-filtering-for-bayesian-decision-trees-1303.0561</loc><lastmod>2013-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/top-down-particle-filtering-for-bayesian-decision-trees-1303.0561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/top-down-particle-filtering-for-bayesian-decision-trees-1303.0561"/></url>
<url><loc>https://scifaro.com/en/abs/supplement-to-reversible-mcmc-on-markov-equivalence-classes-of-sparse-directed-acyclic-graphs-1303.0632</loc><lastmod>2013-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supplement-to-reversible-mcmc-on-markov-equivalence-classes-of-sparse-directed-acyclic-graphs-1303.0632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supplement-to-reversible-mcmc-on-markov-equivalence-classes-of-sparse-directed-acyclic-graphs-1303.0632"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-compressed-regression-1303.0642</loc><lastmod>2013-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-compressed-regression-1303.0642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-compressed-regression-1303.0642"/></url>
<url><loc>https://scifaro.com/en/abs/learning-amp-chain-graphs-and-some-marginal-models-thereof-under-faithfulness-extended-version-1303.0691</loc><lastmod>2014-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-amp-chain-graphs-and-some-marginal-models-thereof-under-faithfulness-extended-version-1303.0691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-amp-chain-graphs-and-some-marginal-models-thereof-under-faithfulness-extended-version-1303.0691"/></url>
<url><loc>https://scifaro.com/en/abs/classification-with-asymmetric-label-noise-consistency-and-maximal-denoising-1303.1208</loc><lastmod>2016-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-with-asymmetric-label-noise-consistency-and-maximal-denoising-1303.1208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-with-asymmetric-label-noise-consistency-and-maximal-denoising-1303.1208"/></url>
<url><loc>https://scifaro.com/en/abs/impulsive-noise-mitigation-in-powerline-communications-using-sparse-bayesian-learning-1303.1217</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/impulsive-noise-mitigation-in-powerline-communications-using-sparse-bayesian-learning-1303.1217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/impulsive-noise-mitigation-in-powerline-communications-using-sparse-bayesian-learning-1303.1217"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-iterative-bayesian-inference-algorithm-for-sparse-channel-estimation-1303.1312</loc><lastmod>2013-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-iterative-bayesian-inference-algorithm-for-sparse-channel-estimation-1303.1312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-iterative-bayesian-inference-algorithm-for-sparse-channel-estimation-1303.1312"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-correlation-screening-application-to-two-stage-predictor-design-in-high-dimension-1303.2378</loc><lastmod>2013-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-correlation-screening-application-to-two-stage-predictor-design-in-high-dimension-1303.2378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-correlation-screening-application-to-two-stage-predictor-design-in-high-dimension-1303.2378"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-and-interacting-with-concept-hierarchies-1303.2488</loc><lastmod>2013-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-and-interacting-with-concept-hierarchies-1303.2488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-and-interacting-with-concept-hierarchies-1303.2488"/></url>
<url><loc>https://scifaro.com/en/abs/refinement-revisited-with-connections-to-bayes-error-conditional-entropy-and-calibrated-classifiers-1303.2517</loc><lastmod>2013-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/refinement-revisited-with-connections-to-bayes-error-conditional-entropy-and-calibrated-classifiers-1303.2517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/refinement-revisited-with-connections-to-bayes-error-conditional-entropy-and-calibrated-classifiers-1303.2517"/></url>
<url><loc>https://scifaro.com/en/abs/linear-system-identification-using-stable-spline-kernels-and-plq-penalties-1303.2827</loc><lastmod>2013-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-system-identification-using-stable-spline-kernels-and-plq-penalties-1303.2827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-system-identification-using-stable-spline-kernels-and-plq-penalties-1303.2827"/></url>
<url><loc>https://scifaro.com/en/abs/toward-optimal-stratification-for-stratified-monte-carlo-integration-1303.2892</loc><lastmod>2013-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-optimal-stratification-for-stratified-monte-carlo-integration-1303.2892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-optimal-stratification-for-stratified-monte-carlo-integration-1303.2892"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-and-combining-multiple-predictors-without-labeled-data-1303.3257</loc><lastmod>2014-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-and-combining-multiple-predictors-without-labeled-data-1303.3257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-and-combining-multiple-predictors-without-labeled-data-1303.3257"/></url>
<url><loc>https://scifaro.com/en/abs/a-dependent-partition-valued-process-for-multitask-clustering-and-time-evolving-network-modelling-1303.3265</loc><lastmod>2013-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dependent-partition-valued-process-for-multitask-clustering-and-time-evolving-network-modelling-1303.3265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dependent-partition-valued-process-for-multitask-clustering-and-time-evolving-network-modelling-1303.3265"/></url>
<url><loc>https://scifaro.com/en/abs/topic-discovery-through-data-dependent-and-random-projections-1303.3664</loc><lastmod>2013-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topic-discovery-through-data-dependent-and-random-projections-1303.3664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topic-discovery-through-data-dependent-and-random-projections-1303.3664"/></url>
<url><loc>https://scifaro.com/en/abs/marginal-likelihoods-for-distributed-parameter-estimation-of-gaussian-graphical-models-1303.4756</loc><lastmod>2015-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marginal-likelihoods-for-distributed-parameter-estimation-of-gaussian-graphical-models-1303.4756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marginal-likelihoods-for-distributed-parameter-estimation-of-gaussian-graphical-models-1303.4756"/></url>
<url><loc>https://scifaro.com/en/abs/ensembling-classification-models-based-on-phalanxes-of-variables-with-applications-in-drug-discovery-1303.4805</loc><lastmod>2015-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensembling-classification-models-based-on-phalanxes-of-variables-with-applications-in-drug-discovery-1303.4805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensembling-classification-models-based-on-phalanxes-of-variables-with-applications-in-drug-discovery-1303.4805"/></url>
<url><loc>https://scifaro.com/en/abs/node-based-learning-of-multiple-gaussian-graphical-models-1303.5145</loc><lastmod>2014-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/node-based-learning-of-multiple-gaussian-graphical-models-1303.5145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/node-based-learning-of-multiple-gaussian-graphical-models-1303.5145"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-factor-analysis-for-learning-and-content-analytics-1303.5685</loc><lastmod>2015-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-factor-analysis-for-learning-and-content-analytics-1303.5685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-factor-analysis-for-learning-and-content-analytics-1303.5685"/></url>
<url><loc>https://scifaro.com/en/abs/on-learnability-complexity-and-stability-1303.5976</loc><lastmod>2013-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-learnability-complexity-and-stability-1303.5976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-learnability-complexity-and-stability-1303.5976"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-reinforcement-learning-for-high-dimensional-linear-quadratic-systems-1303.5984</loc><lastmod>2013-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-reinforcement-learning-for-high-dimensional-linear-quadratic-systems-1303.5984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-reinforcement-learning-for-high-dimensional-linear-quadratic-systems-1303.5984"/></url>
<url><loc>https://scifaro.com/en/abs/random-intersection-trees-1303.6223</loc><lastmod>2016-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-intersection-trees-1303.6223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-intersection-trees-1303.6223"/></url>
<url><loc>https://scifaro.com/en/abs/convex-tensor-decomposition-via-structured-schatten-norm-regularization-1303.6370</loc><lastmod>2013-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-tensor-decomposition-via-structured-schatten-norm-regularization-1303.6370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-tensor-decomposition-via-structured-schatten-norm-regularization-1303.6370"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-correlation-and-budget-constraints-in-bayesian-multi-armed-bandit-optimization-1303.6746</loc><lastmod>2013-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-correlation-and-budget-constraints-in-bayesian-multi-armed-bandit-optimization-1303.6746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-correlation-and-budget-constraints-in-bayesian-multi-armed-bandit-optimization-1303.6746"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-testing-over-multiple-stages-and-performance-analysis-of-data-fusion-1303.6750</loc><lastmod>2013-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-testing-over-multiple-stages-and-performance-analysis-of-data-fusion-1303.6750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-testing-over-multiple-stages-and-performance-analysis-of-data-fusion-1303.6750"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-approximation-and-recovery-by-greedy-algorithms-in-banach-spaces-1303.6811</loc><lastmod>2013-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-approximation-and-recovery-by-greedy-algorithms-in-banach-spaces-1303.6811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-approximation-and-recovery-by-greedy-algorithms-in-banach-spaces-1303.6811"/></url>
<url><loc>https://scifaro.com/en/abs/efficiently-using-second-order-information-in-large-l1-regularization-problems-1303.6935</loc><lastmod>2013-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficiently-using-second-order-information-in-large-l1-regularization-problems-1303.6935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficiently-using-second-order-information-in-large-l1-regularization-problems-1303.6935"/></url>
<url><loc>https://scifaro.com/en/abs/expectation-propagation-for-neural-networks-with-sparsity-promoting-priors-1303.6938</loc><lastmod>2015-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expectation-propagation-for-neural-networks-with-sparsity-promoting-priors-1303.6938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expectation-propagation-for-neural-networks-with-sparsity-promoting-priors-1303.6938"/></url>
<url><loc>https://scifaro.com/en/abs/abc-reinforcement-learning-1303.6977</loc><lastmod>2013-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/abc-reinforcement-learning-1303.6977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/abc-reinforcement-learning-1303.6977"/></url>
<url><loc>https://scifaro.com/en/abs/relevance-as-a-metric-for-evaluating-machine-learning-algorithms-1303.7093</loc><lastmod>2013-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relevance-as-a-metric-for-evaluating-machine-learning-algorithms-1303.7093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relevance-as-a-metric-for-evaluating-machine-learning-algorithms-1303.7093"/></url>
<url><loc>https://scifaro.com/en/abs/parcelingam-a-causal-ordering-method-robust-against-latent-confounders-1303.7410</loc><lastmod>2013-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parcelingam-a-causal-ordering-method-robust-against-latent-confounders-1303.7410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parcelingam-a-causal-ordering-method-robust-against-latent-confounders-1303.7410"/></url>
<url><loc>https://scifaro.com/en/abs/universal-approximation-depth-and-errors-of-narrow-belief-networks-with-discrete-units-1303.7461</loc><lastmod>2014-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-approximation-depth-and-errors-of-narrow-belief-networks-with-discrete-units-1303.7461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-approximation-depth-and-errors-of-narrow-belief-networks-with-discrete-units-1303.7461"/></url>
<url><loc>https://scifaro.com/en/abs/splitting-methods-for-convex-clustering-1304.0499</loc><lastmod>2015-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/splitting-methods-for-convex-clustering-1304.0499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/splitting-methods-for-convex-clustering-1304.0499"/></url>
<url><loc>https://scifaro.com/en/abs/a-semiparametric-bayesian-extreme-value-model-using-a-dirichlet-process-mixture-of-gamma-densities-1304.0596</loc><lastmod>2013-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-semiparametric-bayesian-extreme-value-model-using-a-dirichlet-process-mixture-of-gamma-densities-1304.0596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-semiparametric-bayesian-extreme-value-model-using-a-dirichlet-process-mixture-of-gamma-densities-1304.0596"/></url>
<url><loc>https://scifaro.com/en/abs/clustercluster-parallel-markov-chain-monte-carlo-for-dirichlet-process-mixtures-1304.2302</loc><lastmod>2013-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustercluster-parallel-markov-chain-monte-carlo-for-dirichlet-process-mixtures-1304.2302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustercluster-parallel-markov-chain-monte-carlo-for-dirichlet-process-mixtures-1304.2302"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-mixed-graphical-models-1304.2810</loc><lastmod>2016-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-mixed-graphical-models-1304.2810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-mixed-graphical-models-1304.2810"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-the-indian-buffet-process-via-submodular-maximization-1304.3285</loc><lastmod>2013-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-the-indian-buffet-process-via-submodular-maximization-1304.3285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-the-indian-buffet-process-via-submodular-maximization-1304.3285"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-dictionary-learning-over-a-sensor-network-1304.3568</loc><lastmod>2013-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-dictionary-learning-over-a-sensor-network-1304.3568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-dictionary-learning-over-a-sensor-network-1304.3568"/></url>
<url><loc>https://scifaro.com/en/abs/learning-heteroscedastic-models-by-convex-programming-under-group-sparsity-1304.4549</loc><lastmod>2013-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-heteroscedastic-models-by-convex-programming-under-group-sparsity-1304.4549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-heteroscedastic-models-by-convex-programming-under-group-sparsity-1304.4549"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-matrix-and-tensor-completion-via-adaptive-sampling-1304.4672</loc><lastmod>2013-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-matrix-and-tensor-completion-via-adaptive-sampling-1304.4672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-matrix-and-tensor-completion-via-adaptive-sampling-1304.4672"/></url>
<url><loc>https://scifaro.com/en/abs/a-junction-tree-framework-for-undirected-graphical-model-selection-1304.4910</loc><lastmod>2013-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-junction-tree-framework-for-undirected-graphical-model-selection-1304.4910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-junction-tree-framework-for-undirected-graphical-model-selection-1304.4910"/></url>
<url><loc>https://scifaro.com/en/abs/feature-elimination-in-kernel-machines-in-moderately-high-dimensions-1304.5245</loc><lastmod>2015-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-elimination-in-kernel-machines-in-moderately-high-dimensions-1304.5245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-elimination-in-kernel-machines-in-moderately-high-dimensions-1304.5245"/></url>
<url><loc>https://scifaro.com/en/abs/analytic-expressions-for-stochastic-distances-between-relaxed-complex-wishart-distributions-1304.5417</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analytic-expressions-for-stochastic-distances-between-relaxed-complex-wishart-distributions-1304.5417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analytic-expressions-for-stochastic-distances-between-relaxed-complex-wishart-distributions-1304.5417"/></url>
<url><loc>https://scifaro.com/en/abs/prior-free-and-prior-dependent-regret-bounds-for-thompson-sampling-1304.5758</loc><lastmod>2013-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prior-free-and-prior-dependent-regret-bounds-for-thompson-sampling-1304.5758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prior-free-and-prior-dependent-regret-bounds-for-thompson-sampling-1304.5758"/></url>
<url><loc>https://scifaro.com/en/abs/a-counterexample-for-the-validity-of-using-nuclear-norm-as-a-convex-surrogate-of-rank-1304.6233</loc><lastmod>2013-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-counterexample-for-the-validity-of-using-nuclear-norm-as-a-convex-surrogate-of-rank-1304.6233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-counterexample-for-the-validity-of-using-nuclear-norm-as-a-convex-surrogate-of-rank-1304.6233"/></url>
<url><loc>https://scifaro.com/en/abs/direct-learning-of-sparse-changes-in-markov-networks-by-density-ratio-estimation-1304.6803</loc><lastmod>2014-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/direct-learning-of-sparse-changes-in-markov-networks-by-density-ratio-estimation-1304.6803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/direct-learning-of-sparse-changes-in-markov-networks-by-density-ratio-estimation-1304.6803"/></url>
<url><loc>https://scifaro.com/en/abs/learning-densities-conditional-on-many-interacting-features-1304.7230</loc><lastmod>2013-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-densities-conditional-on-many-interacting-features-1304.7230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-densities-conditional-on-many-interacting-features-1304.7230"/></url>
<url><loc>https://scifaro.com/en/abs/the-randomized-dependence-coefficient-1304.7717</loc><lastmod>2013-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-randomized-dependence-coefficient-1304.7717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-randomized-dependence-coefficient-1304.7717"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-canonical-correlation-analysis-for-classification-1304.7981</loc><lastmod>2024-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-canonical-correlation-analysis-for-classification-1304.7981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-canonical-correlation-analysis-for-classification-1304.7981"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-ground-truth-from-multi-annotator-ordinal-data-a-probabilistic-approach-1305.0015</loc><lastmod>2013-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-ground-truth-from-multi-annotator-ordinal-data-a-probabilistic-approach-1305.0015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-ground-truth-from-multi-annotator-ordinal-data-a-probabilistic-approach-1305.0015"/></url>
<url><loc>https://scifaro.com/en/abs/dictionary-lasso-guaranteed-sparse-recovery-under-linear-transformation-1305.0047</loc><lastmod>2013-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dictionary-lasso-guaranteed-sparse-recovery-under-linear-transformation-1305.0047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dictionary-lasso-guaranteed-sparse-recovery-under-linear-transformation-1305.0047"/></url>
<url><loc>https://scifaro.com/en/abs/recovering-graph-structured-activations-using-adaptive-compressive-measurements-1305.0213</loc><lastmod>2014-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovering-graph-structured-activations-using-adaptive-compressive-measurements-1305.0213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovering-graph-structured-activations-using-adaptive-compressive-measurements-1305.0213"/></url>
<url><loc>https://scifaro.com/en/abs/learning-mixtures-of-bernoulli-templates-by-two-round-em-with-performance-guarantee-1305.0319</loc><lastmod>2015-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-mixtures-of-bernoulli-templates-by-two-round-em-with-performance-guarantee-1305.0319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-mixtures-of-bernoulli-templates-by-two-round-em-with-performance-guarantee-1305.0319"/></url>
<url><loc>https://scifaro.com/en/abs/marginal-amp-chain-graphs-1305.0751</loc><lastmod>2014-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marginal-amp-chain-graphs-1305.0751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marginal-amp-chain-graphs-1305.0751"/></url>
<url><loc>https://scifaro.com/en/abs/inference-in-kingman-s-coalescent-with-particle-markov-chain-monte-carlo-method-1305.0855</loc><lastmod>2013-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-in-kingman-s-coalescent-with-particle-markov-chain-monte-carlo-method-1305.0855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-in-kingman-s-coalescent-with-particle-markov-chain-monte-carlo-method-1305.0855"/></url>
<url><loc>https://scifaro.com/en/abs/regret-bounds-for-reinforcement-learning-with-policy-advice-1305.1027</loc><lastmod>2013-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-bounds-for-reinforcement-learning-with-policy-advice-1305.1027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-bounds-for-reinforcement-learning-with-policy-advice-1305.1027"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-and-consistency-of-the-blurring-mean-shift-process-1305.1040</loc><lastmod>2013-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-and-consistency-of-the-blurring-mean-shift-process-1305.1040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-and-consistency-of-the-blurring-mean-shift-process-1305.1040"/></url>
<url><loc>https://scifaro.com/en/abs/the-extended-parameter-filter-1305.1704</loc><lastmod>2013-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-extended-parameter-filter-1305.1704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-extended-parameter-filter-1305.1704"/></url>
<url><loc>https://scifaro.com/en/abs/cover-tree-bayesian-reinforcement-learning-1305.1809</loc><lastmod>2014-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cover-tree-bayesian-reinforcement-learning-1305.1809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cover-tree-bayesian-reinforcement-learning-1305.1809"/></url>
<url><loc>https://scifaro.com/en/abs/joint-topic-modeling-and-factor-analysis-of-textual-information-and-graded-response-data-1305.1956</loc><lastmod>2013-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-topic-modeling-and-factor-analysis-of-textual-information-and-graded-response-data-1305.1956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-topic-modeling-and-factor-analysis-of-textual-information-and-graded-response-data-1305.1956"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-team-strengths-using-a-discrete-markov-random-field-1305.1998</loc><lastmod>2013-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-team-strengths-using-a-discrete-markov-random-field-1305.1998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-team-strengths-using-a-discrete-markov-random-field-1305.1998"/></url>
<url><loc>https://scifaro.com/en/abs/a-rank-minrelation-majrelation-coefficient-1305.2038</loc><lastmod>2013-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-rank-minrelation-majrelation-coefficient-1305.2038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-rank-minrelation-majrelation-coefficient-1305.2038"/></url>
<url><loc>https://scifaro.com/en/abs/calibrated-multivariate-regression-with-application-to-neural-semantic-basis-discovery-1305.2238</loc><lastmod>2017-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrated-multivariate-regression-with-application-to-neural-semantic-basis-discovery-1305.2238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrated-multivariate-regression-with-application-to-neural-semantic-basis-discovery-1305.2238"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-mini-batch-stochastic-dual-coordinate-ascent-1305.2581</loc><lastmod>2013-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-mini-batch-stochastic-dual-coordinate-ascent-1305.2581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-mini-batch-stochastic-dual-coordinate-ascent-1305.2581"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-with-first-order-surrogate-functions-1305.3120</loc><lastmod>2013-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-with-first-order-surrogate-functions-1305.3120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-with-first-order-surrogate-functions-1305.3120"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchically-coupled-hidden-markov-models-for-learning-kinetic-rates-from-single-molecule-data-1305.3640</loc><lastmod>2013-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchically-coupled-hidden-markov-models-for-learning-kinetic-rates-from-single-molecule-data-1305.3640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchically-coupled-hidden-markov-models-for-learning-kinetic-rates-from-single-molecule-data-1305.3640"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-approximate-inference-for-spatio-temporal-point-process-models-1305.4152</loc><lastmod>2015-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-approximate-inference-for-spatio-temporal-point-process-models-1305.4152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-approximate-inference-for-spatio-temporal-point-process-models-1305.4152"/></url>
<url><loc>https://scifaro.com/en/abs/factored-expectation-propagation-for-input-output-fhmm-models-in-systems-biology-1305.4153</loc><lastmod>2013-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factored-expectation-propagation-for-input-output-fhmm-models-in-systems-biology-1305.4153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factored-expectation-propagation-for-input-output-fhmm-models-in-systems-biology-1305.4153"/></url>
<url><loc>https://scifaro.com/en/abs/out-of-sample-extension-for-latent-position-graphs-1305.4893</loc><lastmod>2013-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/out-of-sample-extension-for-latent-position-graphs-1305.4893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/out-of-sample-extension-for-latent-position-graphs-1305.4893"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-a-database-of-sequential-behaviors-with-latent-dirichlet-hidden-markov-models-1305.5734</loc><lastmod>2013-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-a-database-of-sequential-behaviors-with-latent-dirichlet-hidden-markov-models-1305.5734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-a-database-of-sequential-behaviors-with-latent-dirichlet-hidden-markov-models-1305.5734"/></url>
<url><loc>https://scifaro.com/en/abs/adapting-the-stochastic-block-model-to-edge-weighted-networks-1305.5782</loc><lastmod>2013-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapting-the-stochastic-block-model-to-edge-weighted-networks-1305.5782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapting-the-stochastic-block-model-to-edge-weighted-networks-1305.5782"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-gaussian-process-regression-with-low-rank-covariance-matrix-approximations-1305.5826</loc><lastmod>2013-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-gaussian-process-regression-with-low-rank-covariance-matrix-approximations-1305.5826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-gaussian-process-regression-with-low-rank-covariance-matrix-approximations-1305.5826"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-estimation-of-the-copula-correlation-matrix-for-semiparametric-elliptical-copulas-1305.6526</loc><lastmod>2016-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-estimation-of-the-copula-correlation-matrix-for-semiparametric-elliptical-copulas-1305.6526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-estimation-of-the-copula-correlation-matrix-for-semiparametric-elliptical-copulas-1305.6526"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-analysis-of-latent-generalized-correlation-matrix-estimation-in-transelliptical-distribution-1305.6916</loc><lastmod>2016-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-analysis-of-latent-generalized-correlation-matrix-estimation-in-transelliptical-distribution-1305.6916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-analysis-of-latent-generalized-correlation-matrix-estimation-in-transelliptical-distribution-1305.6916"/></url>
<url><loc>https://scifaro.com/en/abs/non-linear-dimensionality-reduction-riemannian-metric-estimation-and-the-problem-of-geometric-discovery-1305.7255</loc><lastmod>2013-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-linear-dimensionality-reduction-riemannian-metric-estimation-and-the-problem-of-geometric-discovery-1305.7255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-linear-dimensionality-reduction-riemannian-metric-estimation-and-the-problem-of-geometric-discovery-1305.7255"/></url>
<url><loc>https://scifaro.com/en/abs/joint-modeling-and-registration-of-cell-populations-in-cohorts-of-high-dimensional-flow-cytometric-data-1305.7344</loc><lastmod>2015-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-modeling-and-registration-of-cell-populations-in-cohorts-of-high-dimensional-flow-cytometric-data-1305.7344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-modeling-and-registration-of-cell-populations-in-cohorts-of-high-dimensional-flow-cytometric-data-1305.7344"/></url>
<url><loc>https://scifaro.com/en/abs/phase-retrieval-using-alternating-minimization-1306.0160</loc><lastmod>2015-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phase-retrieval-using-alternating-minimization-1306.0160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phase-retrieval-using-alternating-minimization-1306.0160"/></url>
<url><loc>https://scifaro.com/en/abs/rnade-the-real-valued-neural-autoregressive-density-estimator-1306.0186</loc><lastmod>2014-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rnade-the-real-valued-neural-autoregressive-density-estimator-1306.0186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rnade-the-real-valued-neural-autoregressive-density-estimator-1306.0186"/></url>
<url><loc>https://scifaro.com/en/abs/declarative-modeling-and-bayesian-inference-of-dark-matter-halos-1306.0202</loc><lastmod>2013-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/declarative-modeling-and-bayesian-inference-of-dark-matter-halos-1306.0202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/declarative-modeling-and-bayesian-inference-of-dark-matter-halos-1306.0202"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-solutions-to-differential-equations-and-their-application-to-riemannian-statistics-1306.0308</loc><lastmod>2014-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-solutions-to-differential-equations-and-their-application-to-riemannian-statistics-1306.0308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-solutions-to-differential-equations-and-their-application-to-riemannian-statistics-1306.0308"/></url>
<url><loc>https://scifaro.com/en/abs/constructive-setting-of-the-density-ratio-estimation-problem-and-its-rigorous-solution-1306.0407</loc><lastmod>2013-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constructive-setting-of-the-density-ratio-estimation-problem-and-its-rigorous-solution-1306.0407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constructive-setting-of-the-density-ratio-estimation-problem-and-its-rigorous-solution-1306.0407"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-with-missing-data-via-bayesian-additive-regression-trees-1306.0618</loc><lastmod>2014-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-with-missing-data-via-bayesian-additive-regression-trees-1306.0618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-with-missing-data-via-bayesian-additive-regression-trees-1306.0618"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-mean-estimation-and-stein-s-effect-1306.0842</loc><lastmod>2013-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-mean-estimation-and-stein-s-effect-1306.0842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-mean-estimation-and-stein-s-effect-1306.0842"/></url>
<url><loc>https://scifaro.com/en/abs/sinkhorn-distances-lightspeed-computation-of-optimal-transportation-distances-1306.0895</loc><lastmod>2014-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sinkhorn-distances-lightspeed-computation-of-optimal-transportation-distances-1306.0895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sinkhorn-distances-lightspeed-computation-of-optimal-transportation-distances-1306.0895"/></url>
<url><loc>https://scifaro.com/en/abs/more-efficient-reinforcement-learning-via-posterior-sampling-1306.0940</loc><lastmod>2013-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/more-efficient-reinforcement-learning-via-posterior-sampling-1306.0940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/more-efficient-reinforcement-learning-via-posterior-sampling-1306.0940"/></url>
<url><loc>https://scifaro.com/en/abs/structural-intervention-distance-sid-for-evaluating-causal-graphs-1306.1043</loc><lastmod>2016-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structural-intervention-distance-sid-for-evaluating-causal-graphs-1306.1043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structural-intervention-distance-sid-for-evaluating-causal-graphs-1306.1043"/></url>
<url><loc>https://scifaro.com/en/abs/fast-dual-variational-inference-for-non-conjugate-lgms-1306.1052</loc><lastmod>2013-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-dual-variational-inference-for-non-conjugate-lgms-1306.1052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-dual-variational-inference-for-non-conjugate-lgms-1306.1052"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-differential-privacy-through-posterior-sampling-1306.1066</loc><lastmod>2016-12-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-differential-privacy-through-posterior-sampling-1306.1066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-differential-privacy-through-posterior-sampling-1306.1066"/></url>
<url><loc>https://scifaro.com/en/abs/multiclass-total-variation-clustering-1306.1185</loc><lastmod>2013-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiclass-total-variation-clustering-1306.1185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiclass-total-variation-clustering-1306.1185"/></url>
<url><loc>https://scifaro.com/en/abs/multiclass-semi-supervised-learning-on-graphs-using-ginzburg-landau-functional-minimization-1306.1298</loc><lastmod>2013-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiclass-semi-supervised-learning-on-graphs-using-ginzburg-landau-functional-minimization-1306.1298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiclass-semi-supervised-learning-on-graphs-using-ginzburg-landau-functional-minimization-1306.1298"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-theory-for-high-dimensional-gaussian-mixtures-with-sparse-mean-separation-1306.2035</loc><lastmod>2013-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-theory-for-high-dimensional-gaussian-mixtures-with-sparse-mean-separation-1306.2035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-theory-for-high-dimensional-gaussian-mixtures-with-sparse-mean-separation-1306.2035"/></url>
<url><loc>https://scifaro.com/en/abs/logistic-tensor-factorization-for-multi-relational-data-1306.2084</loc><lastmod>2013-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logistic-tensor-factorization-for-multi-relational-data-1306.2084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logistic-tensor-factorization-for-multi-relational-data-1306.2084"/></url>
<url><loc>https://scifaro.com/en/abs/flexible-sampling-of-discrete-data-correlations-without-the-marginal-distributions-1306.2685</loc><lastmod>2013-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexible-sampling-of-discrete-data-correlations-without-the-marginal-distributions-1306.2685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexible-sampling-of-discrete-data-correlations-without-the-marginal-distributions-1306.2685"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-and-learning-in-gaussian-process-state-space-models-with-particle-mcmc-1306.2861</loc><lastmod>2013-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-and-learning-in-gaussian-process-state-space-models-with-particle-mcmc-1306.2861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-and-learning-in-gaussian-process-state-space-models-with-particle-mcmc-1306.2861"/></url>
<url><loc>https://scifaro.com/en/abs/completing-any-low-rank-matrix-provably-1306.2979</loc><lastmod>2014-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/completing-any-low-rank-matrix-provably-1306.2979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/completing-any-low-rank-matrix-provably-1306.2979"/></url>
<url><loc>https://scifaro.com/en/abs/a-convergence-theorem-for-the-graph-shift-type-algorithms-1306.3002</loc><lastmod>2013-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convergence-theorem-for-the-graph-shift-type-algorithms-1306.3002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convergence-theorem-for-the-graph-shift-type-algorithms-1306.3002"/></url>
<url><loc>https://scifaro.com/en/abs/learning-using-privileged-information-svm-and-weighted-svm-1306.3161</loc><lastmod>2014-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-using-privileged-information-svm-and-weighted-svm-1306.3161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-using-privileged-information-svm-and-weighted-svm-1306.3161"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-fractional-set-programs-and-their-application-in-local-clustering-and-community-detection-1306.3409</loc><lastmod>2013-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-fractional-set-programs-and-their-application-in-local-clustering-and-community-detection-1306.3409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-fractional-set-programs-and-their-application-in-local-clustering-and-community-detection-1306.3409"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-beta-divergence-1306.3530</loc><lastmod>2013-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-beta-divergence-1306.3530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-beta-divergence-1306.3530"/></url>
<url><loc>https://scifaro.com/en/abs/early-stopping-and-non-parametric-regression-an-optimal-data-dependent-stopping-rule-1306.3574</loc><lastmod>2013-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-stopping-and-non-parametric-regression-an-optimal-data-dependent-stopping-rule-1306.3574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-stopping-and-non-parametric-regression-an-optimal-data-dependent-stopping-rule-1306.3574"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-methods-for-low-rank-matrix-estimation-short-survey-and-theoretical-study-1306.3862</loc><lastmod>2018-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-methods-for-low-rank-matrix-estimation-short-survey-and-theoretical-study-1306.3862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-methods-for-low-rank-matrix-estimation-short-survey-and-theoretical-study-1306.3862"/></url>
<url><loc>https://scifaro.com/en/abs/on-finding-the-largest-mean-among-many-1306.3917</loc><lastmod>2013-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-finding-the-largest-mean-among-many-1306.3917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-finding-the-largest-mean-among-many-1306.3917"/></url>
<url><loc>https://scifaro.com/en/abs/group-symmetry-and-non-gaussian-covariance-estimation-1306.4103</loc><lastmod>2013-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-symmetry-and-non-gaussian-covariance-estimation-1306.4103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-symmetry-and-non-gaussian-covariance-estimation-1306.4103"/></url>
<url><loc>https://scifaro.com/en/abs/joint-estimation-of-sparse-multivariate-regression-and-conditional-graphical-models-1306.4410</loc><lastmod>2016-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-estimation-of-sparse-multivariate-regression-and-conditional-graphical-models-1306.4410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-estimation-of-sparse-multivariate-regression-and-conditional-graphical-models-1306.4410"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-majorization-minimization-algorithms-for-large-scale-optimization-1306.4650</loc><lastmod>2013-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-majorization-minimization-algorithms-for-large-scale-optimization-1306.4650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-majorization-minimization-algorithms-for-large-scale-optimization-1306.4650"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-computational-and-statistical-rates-of-convergence-for-sparse-nonconvex-learning-problems-1306.4960</loc><lastmod>2015-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-computational-and-statistical-rates-of-convergence-for-sparse-nonconvex-learning-problems-1306.4960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-computational-and-statistical-rates-of-convergence-for-sparse-nonconvex-learning-problems-1306.4960"/></url>
<url><loc>https://scifaro.com/en/abs/class-proportion-estimation-with-application-to-multiclass-anomaly-rejection-1306.5056</loc><lastmod>2014-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/class-proportion-estimation-with-application-to-multiclass-anomaly-rejection-1306.5056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/class-proportion-estimation-with-application-to-multiclass-anomaly-rejection-1306.5056"/></url>
<url><loc>https://scifaro.com/en/abs/online-dictionary-learning-for-kernel-lms-analysis-and-forward-backward-splitting-algorithm-1306.5310</loc><lastmod>2013-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-dictionary-learning-for-kernel-lms-analysis-and-forward-backward-splitting-algorithm-1306.5310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-dictionary-learning-for-kernel-lms-analysis-and-forward-backward-splitting-algorithm-1306.5310"/></url>
<url><loc>https://scifaro.com/en/abs/correlated-random-features-for-fast-semi-supervised-learning-1306.5554</loc><lastmod>2013-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlated-random-features-for-fast-semi-supervised-learning-1306.5554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlated-random-features-for-fast-semi-supervised-learning-1306.5554"/></url>
<url><loc>https://scifaro.com/en/abs/supersparse-linear-integer-models-for-predictive-scoring-systems-1306.5860</loc><lastmod>2013-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supersparse-linear-integer-models-for-predictive-scoring-systems-1306.5860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supersparse-linear-integer-models-for-predictive-scoring-systems-1306.5860"/></url>
<url><loc>https://scifaro.com/en/abs/traffic-data-reconstruction-based-on-markov-random-field-modeling-1306.6482</loc><lastmod>2014-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/traffic-data-reconstruction-based-on-markov-random-field-modeling-1306.6482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/traffic-data-reconstruction-based-on-markov-random-field-modeling-1306.6482"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-feature-selection-in-high-dimensional-discriminant-analysis-1306.6557</loc><lastmod>2013-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-feature-selection-in-high-dimensional-discriminant-analysis-1306.6557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-feature-selection-in-high-dimensional-discriminant-analysis-1306.6557"/></url>
<url><loc>https://scifaro.com/en/abs/supersparse-linear-integer-models-for-interpretable-classification-1306.6677</loc><lastmod>2014-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supersparse-linear-integer-models-for-interpretable-classification-1306.6677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supersparse-linear-integer-models-for-interpretable-classification-1306.6677"/></url>
<url><loc>https://scifaro.com/en/abs/error-amp-chain-graphs-1306.6843</loc><lastmod>2013-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-amp-chain-graphs-1306.6843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-amp-chain-graphs-1306.6843"/></url>
<url><loc>https://scifaro.com/en/abs/memory-limited-streaming-pca-1307.0032</loc><lastmod>2013-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-limited-streaming-pca-1307.0032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-limited-streaming-pca-1307.0032"/></url>
<url><loc>https://scifaro.com/en/abs/simple-one-pass-algorithm-for-penalized-linear-regression-with-cross-validation-on-mapreduce-1307.0048</loc><lastmod>2016-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-one-pass-algorithm-for-penalized-linear-regression-with-cross-validation-on-mapreduce-1307.0048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-one-pass-algorithm-for-penalized-linear-regression-with-cross-validation-on-mapreduce-1307.0048"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-principal-component-analysis-for-high-dimensional-vector-autoregressive-models-1307.0164</loc><lastmod>2013-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-principal-component-analysis-for-high-dimensional-vector-autoregressive-models-1307.0164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-principal-component-analysis-for-high-dimensional-vector-autoregressive-models-1307.0164"/></url>
<url><loc>https://scifaro.com/en/abs/a-direct-estimation-of-high-dimensional-stationary-vector-autoregressions-1307.0293</loc><lastmod>2014-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-direct-estimation-of-high-dimensional-stationary-vector-autoregressions-1307.0293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-direct-estimation-of-high-dimensional-stationary-vector-autoregressions-1307.0293"/></url>
<url><loc>https://scifaro.com/en/abs/dimensionality-detection-and-integration-of-multiple-data-sources-via-the-gp-lvm-1307.0323</loc><lastmod>2013-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimensionality-detection-and-integration-of-multiple-data-sources-via-the-gp-lvm-1307.0323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimensionality-detection-and-integration-of-multiple-data-sources-via-the-gp-lvm-1307.0323"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-conditional-copulas-with-applications-to-financial-time-series-1307.0373</loc><lastmod>2013-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-conditional-copulas-with-applications-to-financial-time-series-1307.0373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-conditional-copulas-with-applications-to-financial-time-series-1307.0373"/></url>
<url><loc>https://scifaro.com/en/abs/challenges-in-representation-learning-a-report-on-three-machine-learning-contests-1307.0414</loc><lastmod>2013-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/challenges-in-representation-learning-a-report-on-three-machine-learning-contests-1307.0414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/challenges-in-representation-learning-a-report-on-three-machine-learning-contests-1307.0414"/></url>
<url><loc>https://scifaro.com/en/abs/a-non-parametric-conditional-factor-regression-model-for-high-dimensional-input-and-response-1307.0578</loc><lastmod>2013-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-non-parametric-conditional-factor-regression-model-for-high-dimensional-input-and-response-1307.0578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-non-parametric-conditional-factor-regression-model-for-high-dimensional-input-and-response-1307.0578"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-learning-theory-framework-for-supervised-pattern-discovery-1307.0802</loc><lastmod>2014-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-learning-theory-framework-for-supervised-pattern-discovery-1307.0802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-learning-theory-framework-for-supervised-pattern-discovery-1307.0802"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-policy-search-1307.0813</loc><lastmod>2014-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-policy-search-1307.0813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-policy-search-1307.0813"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-ranking-pursuit-1307.0846</loc><lastmod>2013-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-ranking-pursuit-1307.0846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-ranking-pursuit-1307.0846"/></url>
<url><loc>https://scifaro.com/en/abs/adaboost-and-forward-stagewise-regression-are-first-order-convex-optimization-methods-1307.1192</loc><lastmod>2013-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaboost-and-forward-stagewise-regression-are-first-order-convex-optimization-methods-1307.1192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaboost-and-forward-stagewise-regression-are-first-order-convex-optimization-methods-1307.1192"/></url>
<url><loc>https://scifaro.com/en/abs/dropout-training-as-adaptive-regularization-1307.1493</loc><lastmod>2013-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropout-training-as-adaptive-regularization-1307.1493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropout-training-as-adaptive-regularization-1307.1493"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-optimization-of-pca-with-capped-msg-1307.1674</loc><lastmod>2013-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-optimization-of-pca-with-capped-msg-1307.1674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-optimization-of-pca-with-capped-msg-1307.1674"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-methods-for-multi-label-classification-1307.1769</loc><lastmod>2013-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-methods-for-multi-label-classification-1307.1769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-methods-for-multi-label-classification-1307.1769"/></url>
<url><loc>https://scifaro.com/en/abs/the-blessing-of-transitivity-in-sparse-and-stochastic-networks-1307.2302</loc><lastmod>2013-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-blessing-of-transitivity-in-sparse-and-stochastic-networks-1307.2302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-blessing-of-transitivity-in-sparse-and-stochastic-networks-1307.2302"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-information-criteria-and-parameter-shrinkage-for-model-selection-1307.2307</loc><lastmod>2013-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-information-criteria-and-parameter-shrinkage-for-model-selection-1307.2307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-information-criteria-and-parameter-shrinkage-for-model-selection-1307.2307"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-discovery-of-multiple-bayesian-networks-via-transfer-learning-1307.2312</loc><lastmod>2013-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-discovery-of-multiple-bayesian-networks-via-transfer-learning-1307.2312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-discovery-of-multiple-bayesian-networks-via-transfer-learning-1307.2312"/></url>
<url><loc>https://scifaro.com/en/abs/controlling-the-precision-recall-tradeoff-in-differential-dependency-network-analysis-1307.2611</loc><lastmod>2013-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlling-the-precision-recall-tradeoff-in-differential-dependency-network-analysis-1307.2611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlling-the-precision-recall-tradeoff-in-differential-dependency-network-analysis-1307.2611"/></url>
<url><loc>https://scifaro.com/en/abs/error-rate-bounds-in-crowdsourcing-models-1307.2674</loc><lastmod>2013-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-rate-bounds-in-crowdsourcing-models-1307.2674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-rate-bounds-in-crowdsourcing-models-1307.2674"/></url>
<url><loc>https://scifaro.com/en/abs/optimisation-dans-la-d-etection-de-communaut-es-recouvrantes-et-equilibre-de-nash-1307.2715</loc><lastmod>2013-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimisation-dans-la-d-etection-de-communaut-es-recouvrantes-et-equilibre-de-nash-1307.2715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimisation-dans-la-d-etection-de-communaut-es-recouvrantes-et-equilibre-de-nash-1307.2715"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-for-1-dimensional-exponential-family-bandits-1307.3400</loc><lastmod>2013-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-for-1-dimensional-exponential-family-bandits-1307.3400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-for-1-dimensional-exponential-family-bandits-1307.3400"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-inverse-reinforcement-learning-in-unknown-environments-1307.3785</loc><lastmod>2013-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-inverse-reinforcement-learning-in-unknown-environments-1307.3785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-inverse-reinforcement-learning-in-unknown-environments-1307.3785"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-structured-prediction-using-gaussian-processes-1307.3846</loc><lastmod>2013-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-structured-prediction-using-gaussian-processes-1307.3846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-structured-prediction-using-gaussian-processes-1307.3846"/></url>
<url><loc>https://scifaro.com/en/abs/robust-subspace-clustering-via-thresholding-1307.4891</loc><lastmod>2015-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-subspace-clustering-via-thresholding-1307.4891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-subspace-clustering-via-thresholding-1307.4891"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-policy-gradients-with-parameter-based-exploration-by-least-squares-conditional-density-estimation-1307.5118</loc><lastmod>2013-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-policy-gradients-with-parameter-based-exploration-by-least-squares-conditional-density-estimation-1307.5118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-policy-gradients-with-parameter-based-exploration-by-least-squares-conditional-density-estimation-1307.5118"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-adaptive-metropolis-hastings-1307.5302</loc><lastmod>2014-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-adaptive-metropolis-hastings-1307.5302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-adaptive-metropolis-hastings-1307.5302"/></url>
<url><loc>https://scifaro.com/en/abs/the-cluster-graphical-lasso-for-improved-estimation-of-gaussian-graphical-models-1307.5339</loc><lastmod>2013-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-cluster-graphical-lasso-for-improved-estimation-of-gaussian-graphical-models-1307.5339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-cluster-graphical-lasso-for-improved-estimation-of-gaussian-graphical-models-1307.5339"/></url>
<url><loc>https://scifaro.com/en/abs/kinetic-energy-plus-penalty-functions-for-sparse-estimation-1307.5601</loc><lastmod>2014-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kinetic-energy-plus-penalty-functions-for-sparse-estimation-1307.5601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kinetic-energy-plus-penalty-functions-for-sparse-estimation-1307.5601"/></url>
<url><loc>https://scifaro.com/en/abs/square-deal-lower-bounds-and-improved-relaxations-for-tensor-recovery-1307.5870</loc><lastmod>2013-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/square-deal-lower-bounds-and-improved-relaxations-for-tensor-recovery-1307.5870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/square-deal-lower-bounds-and-improved-relaxations-for-tensor-recovery-1307.5870"/></url>
<url><loc>https://scifaro.com/en/abs/online-optimization-in-dynamic-environments-1307.5944</loc><lastmod>2016-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-optimization-in-dynamic-environments-1307.5944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-optimization-in-dynamic-environments-1307.5944"/></url>
<url><loc>https://scifaro.com/en/abs/generative-fully-bayesian-gaussian-openset-pattern-classifier-1307.6143</loc><lastmod>2013-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-fully-bayesian-gaussian-openset-pattern-classifier-1307.6143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-fully-bayesian-gaussian-openset-pattern-classifier-1307.6143"/></url>
<url><loc>https://scifaro.com/en/abs/cluster-trees-on-manifolds-1307.6515</loc><lastmod>2013-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cluster-trees-on-manifolds-1307.6515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cluster-trees-on-manifolds-1307.6515"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-variational-bayes-1307.6769</loc><lastmod>2013-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-variational-bayes-1307.6769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-variational-bayes-1307.6769"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-transfer-in-multi-armed-bandit-with-finite-set-of-models-1307.6887</loc><lastmod>2013-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-transfer-in-multi-armed-bandit-with-finite-set-of-models-1307.6887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-transfer-in-multi-armed-bandit-with-finite-set-of-models-1307.6887"/></url>
<url><loc>https://scifaro.com/en/abs/tight-lower-bounds-for-homology-inference-1307.7666</loc><lastmod>2013-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-lower-bounds-for-homology-inference-1307.7666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-lower-bounds-for-homology-inference-1307.7666"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-ratio-calibration-using-prior-weighted-proper-scoring-rules-1307.7981</loc><lastmod>2013-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-ratio-calibration-using-prior-weighted-proper-scoring-rules-1307.7981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-ratio-calibration-using-prior-weighted-proper-scoring-rules-1307.7981"/></url>
<url><loc>https://scifaro.com/en/abs/posterior-contraction-rates-of-the-phylogenetic-indian-buffet-processes-1307.8229</loc><lastmod>2015-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/posterior-contraction-rates-of-the-phylogenetic-indian-buffet-processes-1307.8229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/posterior-contraction-rates-of-the-phylogenetic-indian-buffet-processes-1307.8229"/></url>
<url><loc>https://scifaro.com/en/abs/borel-isomorphic-dimensionality-reduction-of-data-and-supervised-learning-1307.8333</loc><lastmod>2013-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/borel-isomorphic-dimensionality-reduction-of-data-and-supervised-learning-1307.8333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/borel-isomorphic-dimensionality-reduction-of-data-and-supervised-learning-1307.8333"/></url>
<url><loc>https://scifaro.com/en/abs/trading-usdchf-filtered-by-gold-dynamics-via-hmm-coupling-1308.0900</loc><lastmod>2013-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trading-usdchf-filtered-by-gold-dynamics-via-hmm-coupling-1308.0900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trading-usdchf-filtered-by-gold-dynamics-via-hmm-coupling-1308.0900"/></url>
<url><loc>https://scifaro.com/en/abs/the-group-lasso-for-design-of-experiments-1308.1196</loc><lastmod>2018-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-group-lasso-for-design-of-experiments-1308.1196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-group-lasso-for-design-of-experiments-1308.1196"/></url>
<url><loc>https://scifaro.com/en/abs/challenges-of-big-data-analysis-1308.1479</loc><lastmod>2014-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/challenges-of-big-data-analysis-1308.1479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/challenges-of-big-data-analysis-1308.1479"/></url>
<url><loc>https://scifaro.com/en/abs/accuracy-of-latent-variable-estimation-in-bayesian-semi-supervised-learning-1308.2029</loc><lastmod>2015-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accuracy-of-latent-variable-estimation-in-bayesian-semi-supervised-learning-1308.2029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accuracy-of-latent-variable-estimation-in-bayesian-semi-supervised-learning-1308.2029"/></url>
<url><loc>https://scifaro.com/en/abs/composite-self-concordant-minimization-1308.2867</loc><lastmod>2014-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/composite-self-concordant-minimization-1308.2867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/composite-self-concordant-minimization-1308.2867"/></url>
<url><loc>https://scifaro.com/en/abs/the-algorithm-of-noisy-k-means-1308.3314</loc><lastmod>2013-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-algorithm-of-noisy-k-means-1308.3314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-algorithm-of-noisy-k-means-1308.3314"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-sparse-gaussian-graphical-mixture-model-1308.3381</loc><lastmod>2013-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-sparse-gaussian-graphical-mixture-model-1308.3381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-sparse-gaussian-graphical-mixture-model-1308.3381"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-on-stroke-rehabilitation-through-task-oriented-control-of-a-haptic-device-via-near-infrared-spectroscopy-based-bci-1308.4017</loc><lastmod>2014-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-on-stroke-rehabilitation-through-task-oriented-control-of-a-haptic-device-via-near-infrared-spectroscopy-based-bci-1308.4017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-on-stroke-rehabilitation-through-task-oriented-control-of-a-haptic-device-via-near-infrared-spectroscopy-based-bci-1308.4017"/></url>
<url><loc>https://scifaro.com/en/abs/flexible-low-rank-statistical-modeling-with-side-information-1308.4211</loc><lastmod>2017-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexible-low-rank-statistical-modeling-with-side-information-1308.4211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexible-low-rank-statistical-modeling-with-side-information-1308.4211"/></url>
<url><loc>https://scifaro.com/en/abs/pylearn2-a-machine-learning-research-library-1308.4214</loc><lastmod>2013-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pylearn2-a-machine-learning-research-library-1308.4214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pylearn2-a-machine-learning-research-library-1308.4214"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-and-non-negative-bss-for-noisy-data-1308.5546</loc><lastmod>2013-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-and-non-negative-bss-for-noisy-data-1308.5546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-and-non-negative-bss-for-noisy-data-1308.5546"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-of-algorithms-for-learning-hidden-variables-in-normal-graphs-1308.5576</loc><lastmod>2013-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-algorithms-for-learning-hidden-variables-in-normal-graphs-1308.5576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-algorithms-for-learning-hidden-variables-in-normal-graphs-1308.5576"/></url>
<url><loc>https://scifaro.com/en/abs/frequency-recognition-in-ssvep-based-bci-using-multiset-canonical-correlation-analysis-1308.5609</loc><lastmod>2014-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frequency-recognition-in-ssvep-based-bci-using-multiset-canonical-correlation-analysis-1308.5609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frequency-recognition-in-ssvep-based-bci-using-multiset-canonical-correlation-analysis-1308.5609"/></url>
<url><loc>https://scifaro.com/en/abs/the-generalized-mean-information-coefficient-1308.5712</loc><lastmod>2013-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-generalized-mean-information-coefficient-1308.5712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-generalized-mean-information-coefficient-1308.5712"/></url>
<url><loc>https://scifaro.com/en/abs/compound-poisson-processes-latent-shrinkage-priors-and-bayesian-nonconvex-penalization-1308.6069</loc><lastmod>2015-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compound-poisson-processes-latent-shrinkage-priors-and-bayesian-nonconvex-penalization-1308.6069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compound-poisson-processes-latent-shrinkage-priors-and-bayesian-nonconvex-penalization-1308.6069"/></url>
<url><loc>https://scifaro.com/en/abs/linear-and-parallel-learning-of-markov-random-fields-1308.6342</loc><lastmod>2014-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-and-parallel-learning-of-markov-random-fields-1308.6342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-and-parallel-learning-of-markov-random-fields-1308.6342"/></url>
<url><loc>https://scifaro.com/en/abs/unmixing-incoherent-structures-of-big-data-by-randomized-or-greedy-decomposition-1309.0302</loc><lastmod>2013-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unmixing-incoherent-structures-of-big-data-by-randomized-or-greedy-decomposition-1309.0302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unmixing-incoherent-structures-of-big-data-by-randomized-or-greedy-decomposition-1309.0302"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-probabilistic-entity-topic-modeling-1309.0337</loc><lastmod>2013-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-probabilistic-entity-topic-modeling-1309.0337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-probabilistic-entity-topic-modeling-1309.0337"/></url>
<url><loc>https://scifaro.com/en/abs/confidence-constrained-joint-sparsity-recovery-under-the-poisson-noise-model-1309.1193</loc><lastmod>2013-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidence-constrained-joint-sparsity-recovery-under-the-poisson-noise-model-1309.1193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidence-constrained-joint-sparsity-recovery-under-the-poisson-noise-model-1309.1193"/></url>
<url><loc>https://scifaro.com/en/abs/some-options-for-l1-subspace-signal-processing-1309.1194</loc><lastmod>2013-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/some-options-for-l1-subspace-signal-processing-1309.1194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/some-options-for-l1-subspace-signal-processing-1309.1194"/></url>
<url><loc>https://scifaro.com/en/abs/noisy-sparse-subspace-clustering-1309.1233</loc><lastmod>2015-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisy-sparse-subspace-clustering-1309.1233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisy-sparse-subspace-clustering-1309.1233"/></url>
<url><loc>https://scifaro.com/en/abs/semistochastic-quadratic-bound-methods-1309.1369</loc><lastmod>2014-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semistochastic-quadratic-bound-methods-1309.1369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semistochastic-quadratic-bound-methods-1309.1369"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-structural-inference-for-hidden-processes-1309.1392</loc><lastmod>2014-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-structural-inference-for-hidden-processes-1309.1392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-structural-inference-for-hidden-processes-1309.1392"/></url>
<url><loc>https://scifaro.com/en/abs/a-clustering-approach-to-learn-sparsely-used-overcomplete-dictionaries-1309.1952</loc><lastmod>2014-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-clustering-approach-to-learn-sparsely-used-overcomplete-dictionaries-1309.1952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-clustering-approach-to-learn-sparsely-used-overcomplete-dictionaries-1309.1952"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-clustering-with-imbalanced-data-1309.2303</loc><lastmod>2013-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-clustering-with-imbalanced-data-1309.2303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-clustering-with-imbalanced-data-1309.2303"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-proximal-stochastic-dual-coordinate-ascent-for-regularized-loss-minimization-1309.2375</loc><lastmod>2013-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-proximal-stochastic-dual-coordinate-ascent-for-regularized-loss-minimization-1309.2375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-proximal-stochastic-dual-coordinate-ascent-for-regularized-loss-minimization-1309.2375"/></url>
<url><loc>https://scifaro.com/en/abs/compressed-sensing-for-block-sparse-smooth-signals-1309.2505</loc><lastmod>2013-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressed-sensing-for-block-sparse-smooth-signals-1309.2505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressed-sensing-for-block-sparse-smooth-signals-1309.2505"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-and-functional-principal-components-analysis-1309.2895</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-and-functional-principal-components-analysis-1309.2895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-and-functional-principal-components-analysis-1309.2895"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-autoencoding-improves-generative-models-of-time-series-1309.3103</loc><lastmod>2013-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-autoencoding-improves-generative-models-of-time-series-1309.3103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-autoencoding-improves-generative-models-of-time-series-1309.3103"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-orthogonal-tensor-decomposition-with-an-application-to-latent-variable-model-learning-1309.3233</loc><lastmod>2013-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-orthogonal-tensor-decomposition-with-an-application-to-latent-variable-model-learning-1309.3233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-orthogonal-tensor-decomposition-with-an-application-to-latent-variable-model-learning-1309.3233"/></url>
<url><loc>https://scifaro.com/en/abs/recovery-guarantees-for-exemplar-based-clustering-1309.3256</loc><lastmod>2014-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovery-guarantees-for-exemplar-based-clustering-1309.3256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovery-guarantees-for-exemplar-based-clustering-1309.3256"/></url>
<url><loc>https://scifaro.com/en/abs/local-support-vector-machines-formulation-and-analysis-1309.3699</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-support-vector-machines-formulation-and-analysis-1309.3699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-support-vector-machines-formulation-and-analysis-1309.3699"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-spectral-clustering-under-the-degree-corrected-stochastic-blockmodel-1309.4111</loc><lastmod>2013-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-spectral-clustering-under-the-degree-corrected-stochastic-blockmodel-1309.4111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-spectral-clustering-under-the-degree-corrected-stochastic-blockmodel-1309.4111"/></url>
<url><loc>https://scifaro.com/en/abs/network-anomaly-detection-a-survey-and-comparative-analysis-of-stochastic-and-deterministic-methods-1309.4844</loc><lastmod>2013-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-anomaly-detection-a-survey-and-comparative-analysis-of-stochastic-and-deterministic-methods-1309.4844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-anomaly-detection-a-survey-and-comparative-analysis-of-stochastic-and-deterministic-methods-1309.4844"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-pac-learning-and-process-decompositions-1309.4859</loc><lastmod>2015-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-pac-learning-and-process-decompositions-1309.4859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-pac-learning-and-process-decompositions-1309.4859"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-instance-learning-with-bag-dissimilarities-1309.5643</loc><lastmod>2014-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-instance-learning-with-bag-dissimilarities-1309.5643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-instance-learning-with-bag-dissimilarities-1309.5643"/></url>
<url><loc>https://scifaro.com/en/abs/ellipsoidal-rounding-for-nonnegative-matrix-factorization-under-noisy-separability-1309.5701</loc><lastmod>2015-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ellipsoidal-rounding-for-nonnegative-matrix-factorization-under-noisy-separability-1309.5701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ellipsoidal-rounding-for-nonnegative-matrix-factorization-under-noisy-separability-1309.5701"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-sampling-from-time-varying-log-concave-distributions-1309.5977</loc><lastmod>2013-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-sampling-from-time-varying-log-concave-distributions-1309.5977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-sampling-from-time-varying-log-concave-distributions-1309.5977"/></url>
<url><loc>https://scifaro.com/en/abs/a-max-norm-constrained-minimization-approach-to-1-bit-matrix-completion-1309.6013</loc><lastmod>2013-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-max-norm-constrained-minimization-approach-to-1-bit-matrix-completion-1309.6013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-max-norm-constrained-minimization-approach-to-1-bit-matrix-completion-1309.6013"/></url>
<url><loc>https://scifaro.com/en/abs/random-forests-on-distance-matrices-for-imaging-genetics-studies-1309.6158</loc><lastmod>2013-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-forests-on-distance-matrices-for-imaging-genetics-studies-1309.6158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-forests-on-distance-matrices-for-imaging-genetics-studies-1309.6158"/></url>
<url><loc>https://scifaro.com/en/abs/stratified-graphical-models-context-specific-independence-in-graphical-models-1309.6415</loc><lastmod>2014-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stratified-graphical-models-context-specific-independence-in-graphical-models-1309.6415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stratified-graphical-models-context-specific-independence-in-graphical-models-1309.6415"/></url>
<url><loc>https://scifaro.com/en/abs/causal-discovery-with-continuous-additive-noise-models-1309.6779</loc><lastmod>2016-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-discovery-with-continuous-additive-noise-models-1309.6779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-discovery-with-continuous-additive-noise-models-1309.6779"/></url>
<url><loc>https://scifaro.com/en/abs/one-class-collaborative-filtering-with-random-graphs-annotated-version-1309.6786</loc><lastmod>2014-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-class-collaborative-filtering-with-random-graphs-annotated-version-1309.6786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-class-collaborative-filtering-with-random-graphs-annotated-version-1309.6786"/></url>
<url><loc>https://scifaro.com/en/abs/bennett-type-generalization-bounds-large-deviation-case-and-faster-rate-of-convergence-1309.6876</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bennett-type-generalization-bounds-large-deviation-case-and-faster-rate-of-convergence-1309.6876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bennett-type-generalization-bounds-large-deviation-case-and-faster-rate-of-convergence-1309.6876"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-in-sparse-gaussian-graphical-models-1309.7311</loc><lastmod>2014-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-in-sparse-gaussian-graphical-models-1309.7311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-in-sparse-gaussian-graphical-models-1309.7311"/></url>
<url><loc>https://scifaro.com/en/abs/on-statistics-computation-and-scalability-1309.7804</loc><lastmod>2013-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-statistics-computation-and-scalability-1309.7804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-statistics-computation-and-scalability-1309.7804"/></url>
<url><loc>https://scifaro.com/en/abs/mpbart-multinomial-probit-bayesian-additive-regression-trees-1309.7821</loc><lastmod>2016-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mpbart-multinomial-probit-bayesian-additive-regression-trees-1309.7821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mpbart-multinomial-probit-bayesian-additive-regression-trees-1309.7821"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-system-identification-with-stable-spline-kernels-1309.7857</loc><lastmod>2018-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-system-identification-with-stable-spline-kernels-1309.7857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-system-identification-with-stable-spline-kernels-1309.7857"/></url>
<url><loc>https://scifaro.com/en/abs/inference-of-network-summary-statistics-through-network-denoising-1310.0423</loc><lastmod>2014-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-of-network-summary-statistics-through-network-denoising-1310.0423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-of-network-summary-statistics-through-network-denoising-1310.0423"/></url>
<url><loc>https://scifaro.com/en/abs/jointly-clustering-rows-and-columns-of-binary-matrices-algorithms-and-trade-offs-1310.0512</loc><lastmod>2014-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jointly-clustering-rows-and-columns-of-binary-matrices-algorithms-and-trade-offs-1310.0512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jointly-clustering-rows-and-columns-of-binary-matrices-algorithms-and-trade-offs-1310.0512"/></url>
<url><loc>https://scifaro.com/en/abs/perfect-clustering-for-stochastic-blockmodel-graphs-via-adjacency-spectral-embedding-1310.0532</loc><lastmod>2015-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perfect-clustering-for-stochastic-blockmodel-graphs-via-adjacency-spectral-embedding-1310.0532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perfect-clustering-for-stochastic-blockmodel-graphs-via-adjacency-spectral-embedding-1310.0532"/></url>
<url><loc>https://scifaro.com/en/abs/pseudo-marginal-bayesian-inference-for-gaussian-processes-1310.0740</loc><lastmod>2014-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pseudo-marginal-bayesian-inference-for-gaussian-processes-1310.0740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pseudo-marginal-bayesian-inference-for-gaussian-processes-1310.0740"/></url>
<url><loc>https://scifaro.com/en/abs/electricity-market-forecasting-via-low-rank-multi-kernel-learning-1310.0865</loc><lastmod>2015-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/electricity-market-forecasting-via-low-rank-multi-kernel-learning-1310.0865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/electricity-market-forecasting-via-low-rank-multi-kernel-learning-1310.0865"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-regression-and-fit-function-uncertainty-1310.1022</loc><lastmod>2013-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-regression-and-fit-function-uncertainty-1310.1022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-regression-and-fit-function-uncertainty-1310.1022"/></url>
<url><loc>https://scifaro.com/en/abs/labeled-directed-acyclic-graphs-a-generalization-of-context-specific-independence-in-directed-graphical-models-1310.1187</loc><lastmod>2014-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/labeled-directed-acyclic-graphs-a-generalization-of-context-specific-independence-in-directed-graphical-models-1310.1187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/labeled-directed-acyclic-graphs-a-generalization-of-context-specific-independence-in-directed-graphical-models-1310.1187"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-clustering-for-divide-and-conquer-graph-matching-1310.1297</loc><lastmod>2015-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-clustering-for-divide-and-conquer-graph-matching-1310.1297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-clustering-for-divide-and-conquer-graph-matching-1310.1297"/></url>
<url><loc>https://scifaro.com/en/abs/weakly-supervised-clustering-learning-fine-grained-signals-from-coarse-labels-1310.1363</loc><lastmod>2015-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weakly-supervised-clustering-learning-fine-grained-signals-from-coarse-labels-1310.1363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weakly-supervised-clustering-learning-fine-grained-signals-from-coarse-labels-1310.1363"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-monte-carlo-bandits-1310.1404</loc><lastmod>2013-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-monte-carlo-bandits-1310.1404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-monte-carlo-bandits-1310.1404"/></url>
<url><loc>https://scifaro.com/en/abs/narrowing-the-gap-random-forests-in-theory-and-in-practice-1310.1415</loc><lastmod>2013-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/narrowing-the-gap-random-forests-in-theory-and-in-practice-1310.1415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/narrowing-the-gap-random-forests-in-theory-and-in-practice-1310.1415"/></url>
<url><loc>https://scifaro.com/en/abs/role-of-normalization-in-spectral-clustering-for-stochastic-blockmodels-1310.1495</loc><lastmod>2017-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/role-of-normalization-in-spectral-clustering-for-stochastic-blockmodels-1310.1495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/role-of-normalization-in-spectral-clustering-for-stochastic-blockmodels-1310.1495"/></url>
<url><loc>https://scifaro.com/en/abs/moments-and-root-mean-square-error-of-the-bayesian-mmse-estimator-of-classification-error-in-the-gaussian-model-1310.1519</loc><lastmod>2013-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moments-and-root-mean-square-error-of-the-bayesian-mmse-estimator-of-classification-error-in-the-gaussian-model-1310.1519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moments-and-root-mean-square-error-of-the-bayesian-mmse-estimator-of-classification-error-in-the-gaussian-model-1310.1519"/></url>
<url><loc>https://scifaro.com/en/abs/dependence-measure-for-non-additive-model-1310.1562</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dependence-measure-for-non-additive-model-1310.1562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dependence-measure-for-non-additive-model-1310.1562"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-and-tractable-density-estimator-1310.1757</loc><lastmod>2014-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-and-tractable-density-estimator-1310.1757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-and-tractable-density-estimator-1310.1757"/></url>
<url><loc>https://scifaro.com/en/abs/learning-non-parametric-basis-independent-models-from-point-queries-via-low-rank-methods-1310.1826</loc><lastmod>2016-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-non-parametric-basis-independent-models-from-point-queries-via-low-rank-methods-1310.1826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-non-parametric-basis-independent-models-from-point-queries-via-low-rank-methods-1310.1826"/></url>
<url><loc>https://scifaro.com/en/abs/mean-field-bayes-backpropagation-scalable-training-of-multilayer-neural-networks-with-binary-weights-1310.1867</loc><lastmod>2013-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-field-bayes-backpropagation-scalable-training-of-multilayer-neural-networks-with-binary-weights-1310.1867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-field-bayes-backpropagation-scalable-training-of-multilayer-neural-networks-with-binary-weights-1310.1867"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-coordinate-descent-method-for-learning-with-big-data-1310.2059</loc><lastmod>2013-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-coordinate-descent-method-for-learning-with-big-data-1310.2059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-coordinate-descent-method-for-learning-with-big-data-1310.2059"/></url>
<url><loc>https://scifaro.com/en/abs/retrieval-of-experiments-with-sequential-dirichlet-process-mixtures-in-model-space-1310.2125</loc><lastmod>2014-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/retrieval-of-experiments-with-sequential-dirichlet-process-mixtures-in-model-space-1310.2125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/retrieval-of-experiments-with-sequential-dirichlet-process-mixtures-in-model-space-1310.2125"/></url>
<url><loc>https://scifaro.com/en/abs/semidefinite-programming-based-preconditioning-for-more-robust-near-separable-nonnegative-matrix-factorization-1310.2273</loc><lastmod>2015-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semidefinite-programming-based-preconditioning-for-more-robust-near-separable-nonnegative-matrix-factorization-1310.2273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semidefinite-programming-based-preconditioning-for-more-robust-near-separable-nonnegative-matrix-factorization-1310.2273"/></url>
<url><loc>https://scifaro.com/en/abs/m-power-regularized-least-squares-regression-1310.2451</loc><lastmod>2016-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/m-power-regularized-least-squares-regression-1310.2451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/m-power-regularized-least-squares-regression-1310.2451"/></url>
<url><loc>https://scifaro.com/en/abs/a-sparse-and-adaptive-prior-for-time-dependent-model-parameters-1310.2627</loc><lastmod>2015-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sparse-and-adaptive-prior-for-time-dependent-model-parameters-1310.2627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sparse-and-adaptive-prior-for-time-dependent-model-parameters-1310.2627"/></url>
<url><loc>https://scifaro.com/en/abs/gibbs-max-margin-topic-models-with-data-augmentation-1310.2816</loc><lastmod>2013-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gibbs-max-margin-topic-models-with-data-augmentation-1310.2816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gibbs-max-margin-topic-models-with-data-augmentation-1310.2816"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-with-annealing-for-computer-vision-and-big-data-learning-1310.2880</loc><lastmod>2017-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-with-annealing-for-computer-vision-and-big-data-learning-1310.2880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-with-annealing-for-computer-vision-and-big-data-learning-1310.2880"/></url>
<url><loc>https://scifaro.com/en/abs/distance-weighted-support-vector-machine-1310.3003</loc><lastmod>2015-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distance-weighted-support-vector-machine-1310.3003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distance-weighted-support-vector-machine-1310.3003"/></url>
<url><loc>https://scifaro.com/en/abs/flexible-high-dimensional-classification-machines-and-their-asymptotic-properties-1310.3004</loc><lastmod>2013-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexible-high-dimensional-classification-machines-and-their-asymptotic-properties-1310.3004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexible-high-dimensional-classification-machines-and-their-asymptotic-properties-1310.3004"/></url>
<url><loc>https://scifaro.com/en/abs/deep-multiple-kernel-learning-1310.3101</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-multiple-kernel-learning-1310.3101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-multiple-kernel-learning-1310.3101"/></url>
<url><loc>https://scifaro.com/en/abs/on-optimal-probabilities-in-stochastic-coordinate-descent-methods-1310.3438</loc><lastmod>2013-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-optimal-probabilities-in-stochastic-coordinate-descent-methods-1310.3438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-optimal-probabilities-in-stochastic-coordinate-descent-methods-1310.3438"/></url>
<url><loc>https://scifaro.com/en/abs/eca-high-dimensional-elliptical-component-analysis-in-non-gaussian-distributions-1310.3561</loc><lastmod>2016-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eca-high-dimensional-elliptical-component-analysis-in-non-gaussian-distributions-1310.3561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eca-high-dimensional-elliptical-component-analysis-in-non-gaussian-distributions-1310.3561"/></url>
<url><loc>https://scifaro.com/en/abs/variance-adjusted-actor-critic-algorithms-1310.3697</loc><lastmod>2013-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-adjusted-actor-critic-algorithms-1310.3697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-adjusted-actor-critic-algorithms-1310.3697"/></url>
<url><loc>https://scifaro.com/en/abs/alternating-minimization-for-mixed-linear-regression-1310.3745</loc><lastmod>2014-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alternating-minimization-for-mixed-linear-regression-1310.3745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alternating-minimization-for-mixed-linear-regression-1310.3745"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-time-varying-brain-connectivity-networks-from-functional-mri-time-series-1310.3863</loc><lastmod>2014-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-time-varying-brain-connectivity-networks-from-functional-mri-time-series-1310.3863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-time-varying-brain-connectivity-networks-from-functional-mri-time-series-1310.3863"/></url>
<url><loc>https://scifaro.com/en/abs/ridge-fusion-in-statistical-learning-1310.3892</loc><lastmod>2014-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ridge-fusion-in-statistical-learning-1310.3892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ridge-fusion-in-statistical-learning-1310.3892"/></url>
<url><loc>https://scifaro.com/en/abs/multilabel-consensus-classification-1310.4252</loc><lastmod>2013-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilabel-consensus-classification-1310.4252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilabel-consensus-classification-1310.4252"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-information-sharing-between-noise-and-regression-models-improves-prediction-of-weak-effects-1310.4362</loc><lastmod>2013-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-information-sharing-between-noise-and-regression-models-improves-prediction-of-weak-effects-1310.4362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-information-sharing-between-noise-and-regression-models-improves-prediction-of-weak-effects-1310.4362"/></url>
<url><loc>https://scifaro.com/en/abs/fast-computation-of-wasserstein-barycenters-1310.4375</loc><lastmod>2014-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-computation-of-wasserstein-barycenters-1310.4375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-computation-of-wasserstein-barycenters-1310.4375"/></url>
<url><loc>https://scifaro.com/en/abs/inference-sampling-and-learning-in-copula-cumulative-distribution-networks-1310.4456</loc><lastmod>2013-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-sampling-and-learning-in-copula-cumulative-distribution-networks-1310.4456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-sampling-and-learning-in-copula-cumulative-distribution-networks-1310.4456"/></url>
<url><loc>https://scifaro.com/en/abs/the-gaussian-radon-transform-and-machine-learning-1310.4794</loc><lastmod>2014-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-gaussian-radon-transform-and-machine-learning-1310.4794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-gaussian-radon-transform-and-machine-learning-1310.4794"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-bayes-optimality-of-f-measure-maximizers-1310.4849</loc><lastmod>2015-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-bayes-optimality-of-f-measure-maximizers-1310.4849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-bayes-optimality-of-f-measure-maximizers-1310.4849"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-multivariate-analysis-framework-for-supervised-subspace-learning-a-tutorial-on-linear-and-kernel-multivariate-methods-1310.5089</loc><lastmod>2013-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-multivariate-analysis-framework-for-supervised-subspace-learning-a-tutorial-on-linear-and-kernel-multivariate-methods-1310.5089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-multivariate-analysis-framework-for-supervised-subspace-learning-a-tutorial-on-linear-and-kernel-multivariate-methods-1310.5089"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-in-relevance-learning-vector-quantization-using-l-one-norms-1310.5095</loc><lastmod>2013-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-in-relevance-learning-vector-quantization-using-l-one-norms-1310.5095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-in-relevance-learning-vector-quantization-using-l-one-norms-1310.5095"/></url>
<url><loc>https://scifaro.com/en/abs/gpatt-fast-multidimensional-pattern-extrapolation-with-gaussian-processes-1310.5288</loc><lastmod>2014-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gpatt-fast-multidimensional-pattern-extrapolation-with-gaussian-processes-1310.5288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gpatt-fast-multidimensional-pattern-extrapolation-with-gaussian-processes-1310.5288"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-extensions-of-kernel-least-mean-squares-1310.5347</loc><lastmod>2013-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-extensions-of-kernel-least-mean-squares-1310.5347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-extensions-of-kernel-least-mean-squares-1310.5347"/></url>
<url><loc>https://scifaro.com/en/abs/disease-prediction-based-on-functional-connectomes-using-a-scalable-and-spatially-informed-support-vector-machine-1310.5415</loc><lastmod>2014-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disease-prediction-based-on-functional-connectomes-using-a-scalable-and-spatially-informed-support-vector-machine-1310.5415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disease-prediction-based-on-functional-connectomes-using-a-scalable-and-spatially-informed-support-vector-machine-1310.5415"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bayesian-inference-for-linear-and-logistic-regression-1310.5438</loc><lastmod>2023-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayesian-inference-for-linear-and-logistic-regression-1310.5438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayesian-inference-for-linear-and-logistic-regression-1310.5438"/></url>
<url><loc>https://scifaro.com/en/abs/universalities-of-reproducing-kernels-revisited-1310.5543</loc><lastmod>2013-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universalities-of-reproducing-kernels-revisited-1310.5543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universalities-of-reproducing-kernels-revisited-1310.5543"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-parameter-estimation-of-discrete-hierarchical-models-via-marginal-likelihoods-1310.5666</loc><lastmod>2013-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-parameter-estimation-of-discrete-hierarchical-models-via-marginal-likelihoods-1310.5666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-parameter-estimation-of-discrete-hierarchical-models-via-marginal-likelihoods-1310.5666"/></url>
<url><loc>https://scifaro.com/en/abs/a-kernel-for-hierarchical-parameter-spaces-1310.5738</loc><lastmod>2013-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-kernel-for-hierarchical-parameter-spaces-1310.5738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-kernel-for-hierarchical-parameter-spaces-1310.5738"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-optimal-convergence-rates-for-estimating-ground-truth-from-crowdsourced-labels-1310.5764</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-optimal-convergence-rates-for-estimating-ground-truth-from-crowdsourced-labels-1310.5764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-optimal-convergence-rates-for-estimating-ground-truth-from-crowdsourced-labels-1310.5764"/></url>
<url><loc>https://scifaro.com/en/abs/combined-l-1-and-greedy-l-0-penalized-least-squares-for-linear-model-selection-1310.6062</loc><lastmod>2013-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combined-l-1-and-greedy-l-0-penalized-least-squares-for-linear-model-selection-1310.6062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combined-l-1-and-greedy-l-0-penalized-least-squares-for-linear-model-selection-1310.6062"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-kernel-learning-for-brain-computer-interfacing-1310.6067</loc><lastmod>2013-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-kernel-learning-for-brain-computer-interfacing-1310.6067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-kernel-learning-for-brain-computer-interfacing-1310.6067"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-spectral-boosting-analysis-for-stroke-patients-motor-imagery-eeg-in-rehabilitation-training-1310.6288</loc><lastmod>2014-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-spectral-boosting-analysis-for-stroke-patients-motor-imagery-eeg-in-rehabilitation-training-1310.6288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-spectral-boosting-analysis-for-stroke-patients-motor-imagery-eeg-in-rehabilitation-training-1310.6288"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-state-space-inference-of-periodic-latent-force-models-1310.6319</loc><lastmod>2014-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-state-space-inference-of-periodic-latent-force-models-1310.6319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-state-space-inference-of-periodic-latent-force-models-1310.6319"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-of-linear-embeddings-for-gaussian-processes-1310.6740</loc><lastmod>2013-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-of-linear-embeddings-for-gaussian-processes-1310.6740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-of-linear-embeddings-for-gaussian-processes-1310.6740"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-estimation-of-possible-causal-direction-in-the-presence-of-latent-confounders-using-a-linear-non-gaussian-acyclic-structural-equation-model-with-individual-specific-effects-1310.6778</loc><lastmod>2014-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-estimation-of-possible-causal-direction-in-the-presence-of-latent-confounders-using-a-linear-non-gaussian-acyclic-structural-equation-model-with-individual-specific-effects-1310.6778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-estimation-of-possible-causal-direction-in-the-presence-of-latent-confounders-using-a-linear-non-gaussian-acyclic-structural-equation-model-with-individual-specific-effects-1310.6778"/></url>
<url><loc>https://scifaro.com/en/abs/a-feasible-roadmap-for-unsupervised-deconvolution-of-two-source-mixed-gene-expressions-1310.7033</loc><lastmod>2013-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-feasible-roadmap-for-unsupervised-deconvolution-of-two-source-mixed-gene-expressions-1310.7033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-feasible-roadmap-for-unsupervised-deconvolution-of-two-source-mixed-gene-expressions-1310.7033"/></url>
<url><loc>https://scifaro.com/en/abs/successive-nonnegative-projection-algorithm-for-robust-nonnegative-blind-source-separation-1310.7529</loc><lastmod>2014-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/successive-nonnegative-projection-algorithm-for-robust-nonnegative-blind-source-separation-1310.7529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/successive-nonnegative-projection-algorithm-for-robust-nonnegative-blind-source-separation-1310.7529"/></url>
<url><loc>https://scifaro.com/en/abs/the-information-geometry-of-mirror-descent-1310.7780</loc><lastmod>2014-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-information-geometry-of-mirror-descent-1310.7780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-information-geometry-of-mirror-descent-1310.7780"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-of-bandwidth-selectors-for-mean-shift-clustering-1310.7855</loc><lastmod>2013-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-bandwidth-selectors-for-mean-shift-clustering-1310.7855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-bandwidth-selectors-for-mean-shift-clustering-1310.7855"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-unmixing-of-hyperspectral-images-using-a-semiparametric-model-and-spatial-regularization-1310.8612</loc><lastmod>2013-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-unmixing-of-hyperspectral-images-using-a-semiparametric-model-and-spatial-regularization-1310.8612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-unmixing-of-hyperspectral-images-using-a-semiparametric-model-and-spatial-regularization-1310.8612"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-analysis-of-kernel-lms-algorithm-with-pre-tuned-dictionary-1310.8618</loc><lastmod>2013-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-analysis-of-kernel-lms-algorithm-with-pre-tuned-dictionary-1310.8618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-analysis-of-kernel-lms-algorithm-with-pre-tuned-dictionary-1310.8618"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-as-iterated-random-functions-with-applications-to-sequential-inference-in-graphical-models-1311.0072</loc><lastmod>2013-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-as-iterated-random-functions-with-applications-to-sequential-inference-in-graphical-models-1311.0072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-as-iterated-random-functions-with-applications-to-sequential-inference-in-graphical-models-1311.0072"/></url>
<url><loc>https://scifaro.com/en/abs/joint-estimation-of-multiple-graphical-models-from-high-dimensional-time-series-1311.0219</loc><lastmod>2014-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-estimation-of-multiple-graphical-models-from-high-dimensional-time-series-1311.0219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-estimation-of-multiple-graphical-models-from-high-dimensional-time-series-1311.0219"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-generalized-gaussian-process-models-1311.0360</loc><lastmod>2013-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-generalized-gaussian-process-models-1311.0360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-generalized-gaussian-process-models-1311.0360"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-for-complex-bandit-problems-1311.0466</loc><lastmod>2013-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-for-complex-bandit-problems-1311.0466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-for-complex-bandit-problems-1311.0466"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-for-online-learning-with-linear-experts-1311.0468</loc><lastmod>2013-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-for-online-learning-with-linear-experts-1311.0468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-for-online-learning-with-linear-experts-1311.0468"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-dual-coordinate-ascent-with-alternating-direction-multiplier-method-1311.0622</loc><lastmod>2013-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-dual-coordinate-ascent-with-alternating-direction-multiplier-method-1311.0622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-dual-coordinate-ascent-with-alternating-direction-multiplier-method-1311.0622"/></url>
<url><loc>https://scifaro.com/en/abs/on-fast-dropout-and-its-applicability-to-recurrent-networks-1311.0701</loc><lastmod>2014-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-fast-dropout-and-its-applicability-to-recurrent-networks-1311.0701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-fast-dropout-and-its-applicability-to-recurrent-networks-1311.0701"/></url>
<url><loc>https://scifaro.com/en/abs/generative-modelling-for-unsupervised-score-calibration-1311.0707</loc><lastmod>2014-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-modelling-for-unsupervised-score-calibration-1311.0707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-modelling-for-unsupervised-score-calibration-1311.0707"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-bayesian-models-of-hierarchical-structure-in-complex-networks-1311.1033</loc><lastmod>2013-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-bayesian-models-of-hierarchical-structure-in-complex-networks-1311.1033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-bayesian-models-of-hierarchical-structure-in-complex-networks-1311.1033"/></url>
<url><loc>https://scifaro.com/en/abs/combined-independent-component-analysis-and-canonical-polyadic-decomposition-via-joint-diagonalization-1311.1040</loc><lastmod>2016-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combined-independent-component-analysis-and-canonical-polyadic-decomposition-via-joint-diagonalization-1311.1040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combined-independent-component-analysis-and-canonical-polyadic-decomposition-via-joint-diagonalization-1311.1040"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-center-binary-deep-boltzmann-machines-1311.1354</loc><lastmod>2017-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-center-binary-deep-boltzmann-machines-1311.1354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-center-binary-deep-boltzmann-machines-1311.1354"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-the-effects-of-a-changing-distance-on-data-using-continuous-embeddings-1311.1911</loc><lastmod>2016-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-the-effects-of-a-changing-distance-on-data-using-continuous-embeddings-1311.1911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-the-effects-of-a-changing-distance-on-data-using-continuous-embeddings-1311.1911"/></url>
<url><loc>https://scifaro.com/en/abs/fusso-functional-shrinkage-and-selection-operator-1311.2234</loc><lastmod>2014-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fusso-functional-shrinkage-and-selection-operator-1311.2234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fusso-functional-shrinkage-and-selection-operator-1311.2234"/></url>
<url><loc>https://scifaro.com/en/abs/fast-distribution-to-real-regression-1311.2236</loc><lastmod>2014-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-distribution-to-real-regression-1311.2236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-distribution-to-real-regression-1311.2236"/></url>
<url><loc>https://scifaro.com/en/abs/the-infinite-degree-corrected-stochastic-block-model-1311.2520</loc><lastmod>2014-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-infinite-degree-corrected-stochastic-block-model-1311.2520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-infinite-degree-corrected-stochastic-block-model-1311.2520"/></url>
<url><loc>https://scifaro.com/en/abs/hypothesis-testing-for-automated-community-detection-in-networks-1311.2694</loc><lastmod>2017-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypothesis-testing-for-automated-community-detection-in-networks-1311.2694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypothesis-testing-for-automated-community-detection-in-networks-1311.2694"/></url>
<url><loc>https://scifaro.com/en/abs/a-pac-bayesian-bound-for-lifelong-learning-1311.2838</loc><lastmod>2014-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-pac-bayesian-bound-for-lifelong-learning-1311.2838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-pac-bayesian-bound-for-lifelong-learning-1311.2838"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-inference-in-continuous-determinantal-point-processes-1311.2971</loc><lastmod>2013-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-inference-in-continuous-determinantal-point-processes-1311.2971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-inference-in-continuous-determinantal-point-processes-1311.2971"/></url>
<url><loc>https://scifaro.com/en/abs/learning-mixtures-of-discrete-product-distributions-using-spectral-decompositions-1311.2972</loc><lastmod>2014-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-mixtures-of-discrete-product-distributions-using-spectral-decompositions-1311.2972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-mixtures-of-discrete-product-distributions-using-spectral-decompositions-1311.2972"/></url>
<url><loc>https://scifaro.com/en/abs/informed-source-separation-a-bayesian-tutorial-1311.3001</loc><lastmod>2013-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/informed-source-separation-a-bayesian-tutorial-1311.3001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/informed-source-separation-a-bayesian-tutorial-1311.3001"/></url>
<url><loc>https://scifaro.com/en/abs/compressive-nonparametric-graphical-model-selection-for-time-series-1311.3257</loc><lastmod>2014-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressive-nonparametric-graphical-model-selection-for-time-series-1311.3257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressive-nonparametric-graphical-model-selection-for-time-series-1311.3257"/></url>
<url><loc>https://scifaro.com/en/abs/anytime-belief-propagation-using-sparse-domains-1311.3368</loc><lastmod>2013-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anytime-belief-propagation-using-sparse-domains-1311.3368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anytime-belief-propagation-using-sparse-domains-1311.3368"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-learning-of-linear-causal-networks-via-inverse-covariance-estimation-1311.3492</loc><lastmod>2013-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-learning-of-linear-causal-networks-via-inverse-covariance-estimation-1311.3492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-learning-of-linear-causal-networks-via-inverse-covariance-estimation-1311.3492"/></url>
<url><loc>https://scifaro.com/en/abs/on-estimating-many-means-selection-bias-and-the-bootstrap-1311.3709</loc><lastmod>2013-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-estimating-many-means-selection-bias-and-the-bootstrap-1311.3709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-estimating-many-means-selection-bias-and-the-bootstrap-1311.3709"/></url>
<url><loc>https://scifaro.com/en/abs/mapping-cognitive-ontologies-to-and-from-the-brain-1311.3859</loc><lastmod>2013-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mapping-cognitive-ontologies-to-and-from-the-brain-1311.3859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mapping-cognitive-ontologies-to-and-from-the-brain-1311.3859"/></url>
<url><loc>https://scifaro.com/en/abs/signal-recovery-from-pooling-representations-1311.4025</loc><lastmod>2014-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/signal-recovery-from-pooling-representations-1311.4025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/signal-recovery-from-pooling-representations-1311.4025"/></url>
<url><loc>https://scifaro.com/en/abs/a-component-lasso-1311.4472</loc><lastmod>2013-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-component-lasso-1311.4472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-component-lasso-1311.4472"/></url>
<url><loc>https://scifaro.com/en/abs/confidence-intervals-for-random-forests-the-jackknife-and-the-infinitesimal-jackknife-1311.4555</loc><lastmod>2014-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidence-intervals-for-random-forests-the-jackknife-and-the-infinitesimal-jackknife-1311.4555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidence-intervals-for-random-forests-the-jackknife-and-the-infinitesimal-jackknife-1311.4555"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-bayes-dynamic-modeling-of-relational-data-1311.4669</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-bayes-dynamic-modeling-of-relational-data-1311.4669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-bayes-dynamic-modeling-of-relational-data-1311.4669"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotically-exact-embarrassingly-parallel-mcmc-1311.4780</loc><lastmod>2014-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotically-exact-embarrassingly-parallel-mcmc-1311.4780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotically-exact-embarrassingly-parallel-mcmc-1311.4780"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-optimization-with-mutual-information-1311.4825</loc><lastmod>2015-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-optimization-with-mutual-information-1311.4825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-optimization-with-mutual-information-1311.4825"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adaptation-of-majority-votes-via-perturbed-variation-based-label-transfer-1311.4833</loc><lastmod>2016-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adaptation-of-majority-votes-via-perturbed-variation-based-label-transfer-1311.4833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adaptation-of-majority-votes-via-perturbed-variation-based-label-transfer-1311.4833"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-svm-framework-for-signal-estimation-1311.5406</loc><lastmod>2013-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-svm-framework-for-signal-estimation-1311.5406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-svm-framework-for-signal-estimation-1311.5406"/></url>
<url><loc>https://scifaro.com/en/abs/learning-pairwise-graphical-models-with-nonlinear-sufficient-statistics-1311.5479</loc><lastmod>2013-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-pairwise-graphical-models-with-nonlinear-sufficient-statistics-1311.5479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-pairwise-graphical-models-with-nonlinear-sufficient-statistics-1311.5479"/></url>
<url><loc>https://scifaro.com/en/abs/compressive-measurement-designs-for-estimating-structured-signals-in-structured-clutter-a-bayesian-experimental-design-approach-1311.5599</loc><lastmod>2013-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressive-measurement-designs-for-estimating-structured-signals-in-structured-clutter-a-bayesian-experimental-design-approach-1311.5599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressive-measurement-designs-for-estimating-structured-signals-in-structured-clutter-a-bayesian-experimental-design-approach-1311.5599"/></url>
<url><loc>https://scifaro.com/en/abs/robust-vertex-classification-1311.5954</loc><lastmod>2024-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-vertex-classification-1311.5954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-vertex-classification-1311.5954"/></url>
<url><loc>https://scifaro.com/en/abs/robust-low-rank-tensor-recovery-models-and-algorithms-1311.6182</loc><lastmod>2014-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-low-rank-tensor-recovery-models-and-algorithms-1311.6182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-low-rank-tensor-recovery-models-and-algorithms-1311.6182"/></url>
<url><loc>https://scifaro.com/en/abs/score-based-causal-learning-in-additive-noise-models-1311.6359</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/score-based-causal-learning-in-additive-noise-models-1311.6359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/score-based-causal-learning-in-additive-noise-models-1311.6359"/></url>
<url><loc>https://scifaro.com/en/abs/on-approximate-inference-for-generalized-gaussian-process-models-1311.6371</loc><lastmod>2013-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-approximate-inference-for-generalized-gaussian-process-models-1311.6371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-approximate-inference-for-generalized-gaussian-process-models-1311.6371"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-sparse-coding-1311.6834</loc><lastmod>2015-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-sparse-coding-1311.6834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-sparse-coding-1311.6834"/></url>
<url><loc>https://scifaro.com/en/abs/dimensionality-reduction-for-click-through-rate-prediction-dense-versus-sparse-representation-1311.6976</loc><lastmod>2014-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimensionality-reduction-for-click-through-rate-prediction-dense-versus-sparse-representation-1311.6976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimensionality-reduction-for-click-through-rate-prediction-dense-versus-sparse-representation-1311.6976"/></url>
<url><loc>https://scifaro.com/en/abs/using-multiple-samples-to-learn-mixture-models-1311.7184</loc><lastmod>2013-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-multiple-samples-to-learn-mixture-models-1311.7184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-multiple-samples-to-learn-mixture-models-1311.7184"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-estimation-for-optimization-problems-on-graphs-1311.7656</loc><lastmod>2013-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-estimation-for-optimization-problems-on-graphs-1311.7656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-estimation-for-optimization-problems-on-graphs-1311.7656"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-continuum-armed-bandit-problem-of-few-linear-parameters-in-high-dimensions-1312.0232</loc><lastmod>2017-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-continuum-armed-bandit-problem-of-few-linear-parameters-in-high-dimensions-1312.0232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-continuum-armed-bandit-problem-of-few-linear-parameters-in-high-dimensions-1312.0232"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-regulatory-networks-by-combining-perturbation-screens-and-steady-state-gene-expression-profiles-1312.0335</loc><lastmod>2015-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-regulatory-networks-by-combining-perturbation-screens-and-steady-state-gene-expression-profiles-1312.0335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-regulatory-networks-by-combining-perturbation-screens-and-steady-state-gene-expression-profiles-1312.0335"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-non-orthogonal-joint-diagonalization-with-lu-decomposition-and-successive-rotations-1312.0712</loc><lastmod>2015-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-non-orthogonal-joint-diagonalization-with-lu-decomposition-and-successive-rotations-1312.0712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-non-orthogonal-joint-diagonalization-with-lu-decomposition-and-successive-rotations-1312.0712"/></url>
<url><loc>https://scifaro.com/en/abs/multiscale-dictionary-learning-for-estimating-conditional-distributions-1312.1099</loc><lastmod>2013-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiscale-dictionary-learning-for-estimating-conditional-distributions-1312.1099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiscale-dictionary-learning-for-estimating-conditional-distributions-1312.1099"/></url>
<url><loc>https://scifaro.com/en/abs/chebushev-greedy-algorithm-in-convex-optimization-1312.1244</loc><lastmod>2013-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chebushev-greedy-algorithm-in-convex-optimization-1312.1244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chebushev-greedy-algorithm-in-convex-optimization-1312.1244"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-log-thresholding-1312.1522</loc><lastmod>2013-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-log-thresholding-1312.1522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-log-thresholding-1312.1522"/></url>
<url><loc>https://scifaro.com/en/abs/max-min-distance-nonnegative-matrix-factorization-1312.1613</loc><lastmod>2013-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/max-min-distance-nonnegative-matrix-factorization-1312.1613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/max-min-distance-nonnegative-matrix-factorization-1312.1613"/></url>
<url><loc>https://scifaro.com/en/abs/semi-stochastic-gradient-descent-methods-1312.1666</loc><lastmod>2015-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-stochastic-gradient-descent-methods-1312.1666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-stochastic-gradient-descent-methods-1312.1666"/></url>
<url><loc>https://scifaro.com/en/abs/impact-of-regularization-on-spectral-clustering-1312.1733</loc><lastmod>2014-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/impact-of-regularization-on-spectral-clustering-1312.1733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/impact-of-regularization-on-spectral-clustering-1312.1733"/></url>
<url><loc>https://scifaro.com/en/abs/an-algorithmic-theory-of-dependent-regularizers-part-1-submodular-structure-1312.1970</loc><lastmod>2013-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-algorithmic-theory-of-dependent-regularizers-part-1-submodular-structure-1312.1970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-algorithmic-theory-of-dependent-regularizers-part-1-submodular-structure-1312.1970"/></url>
<url><loc>https://scifaro.com/en/abs/bartmachine-machine-learning-with-bayesian-additive-regression-trees-1312.2171</loc><lastmod>2014-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bartmachine-machine-learning-with-bayesian-additive-regression-trees-1312.2171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bartmachine-machine-learning-with-bayesian-additive-regression-trees-1312.2171"/></url>
<url><loc>https://scifaro.com/en/abs/vertex-nomination-schemes-for-membership-prediction-1312.2638</loc><lastmod>2015-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vertex-nomination-schemes-for-membership-prediction-1312.2638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vertex-nomination-schemes-for-membership-prediction-1312.2638"/></url>
<url><loc>https://scifaro.com/en/abs/guaranteed-model-order-estimation-and-sample-complexity-bounds-for-lda-1312.2646</loc><lastmod>2014-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guaranteed-model-order-estimation-and-sample-complexity-bounds-for-lda-1312.2646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guaranteed-model-order-estimation-and-sample-complexity-bounds-for-lda-1312.2646"/></url>
<url><loc>https://scifaro.com/en/abs/every-lwf-and-amp-chain-graph-originates-from-a-set-of-causal-models-1312.2967</loc><lastmod>2015-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/every-lwf-and-amp-chain-graph-originates-from-a-set-of-causal-models-1312.2967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/every-lwf-and-amp-chain-graph-originates-from-a-set-of-causal-models-1312.2967"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-anomaly-detection-in-graphs-using-lovasz-extended-scan-statistic-1312.3291</loc><lastmod>2013-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-anomaly-detection-in-graphs-using-lovasz-extended-scan-statistic-1312.3291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-anomaly-detection-in-graphs-using-lovasz-extended-scan-statistic-1312.3291"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-for-high-dimension-low-sample-size-data-using-distance-vectors-1312.3386</loc><lastmod>2013-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-for-high-dimension-low-sample-size-data-using-distance-vectors-1312.3386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-for-high-dimension-low-sample-size-data-using-distance-vectors-1312.3386"/></url>
<url><loc>https://scifaro.com/en/abs/augur-a-modeling-language-for-data-parallel-probabilistic-inference-1312.3613</loc><lastmod>2014-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augur-a-modeling-language-for-data-parallel-probabilistic-inference-1312.3613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augur-a-modeling-language-for-data-parallel-probabilistic-inference-1312.3613"/></url>
<url><loc>https://scifaro.com/en/abs/sample-complexity-of-dictionary-learning-and-other-matrix-factorizations-1312.3790</loc><lastmod>2015-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-complexity-of-dictionary-learning-and-other-matrix-factorizations-1312.3790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-complexity-of-dictionary-learning-and-other-matrix-factorizations-1312.3790"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-for-compressed-sensing-the-simplex-method-and-kronecker-sparsification-1312.4426</loc><lastmod>2013-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-for-compressed-sensing-the-simplex-method-and-kronecker-sparsification-1312.4426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-for-compressed-sensing-the-simplex-method-and-kronecker-sparsification-1312.4426"/></url>
<url><loc>https://scifaro.com/en/abs/parametric-modelling-of-multivariate-count-data-using-probabilistic-graphical-models-1312.4479</loc><lastmod>2013-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parametric-modelling-of-multivariate-count-data-using-probabilistic-graphical-models-1312.4479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parametric-modelling-of-multivariate-count-data-using-probabilistic-graphical-models-1312.4479"/></url>
<url><loc>https://scifaro.com/en/abs/comparative-analysis-of-viterbi-training-and-maximum-likelihood-estimation-for-hmms-1312.4551</loc><lastmod>2013-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparative-analysis-of-viterbi-training-and-maximum-likelihood-estimation-for-hmms-1312.4551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparative-analysis-of-viterbi-training-and-maximum-likelihood-estimation-for-hmms-1312.4551"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-stochastic-alternating-direction-method-of-multipliers-1312.4564</loc><lastmod>2014-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-stochastic-alternating-direction-method-of-multipliers-1312.4564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-stochastic-alternating-direction-method-of-multipliers-1312.4564"/></url>
<url><loc>https://scifaro.com/en/abs/compact-random-feature-maps-1312.4626</loc><lastmod>2013-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compact-random-feature-maps-1312.4626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compact-random-feature-maps-1312.4626"/></url>
<url><loc>https://scifaro.com/en/abs/filtering-with-state-observation-examples-via-kernel-monte-carlo-filter-1312.4664</loc><lastmod>2015-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/filtering-with-state-observation-examples-via-kernel-monte-carlo-filter-1312.4664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/filtering-with-state-observation-examples-via-kernel-monte-carlo-filter-1312.4664"/></url>
<url><loc>https://scifaro.com/en/abs/markov-network-structure-learning-via-ensemble-of-forests-models-1312.4710</loc><lastmod>2013-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-network-structure-learning-via-ensemble-of-forests-models-1312.4710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-network-structure-learning-via-ensemble-of-forests-models-1312.4710"/></url>
<url><loc>https://scifaro.com/en/abs/the-matrix-ridge-approximation-algorithms-and-applications-1312.4717</loc><lastmod>2013-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-matrix-ridge-approximation-algorithms-and-applications-1312.4717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-matrix-ridge-approximation-algorithms-and-applications-1312.4717"/></url>
<url><loc>https://scifaro.com/en/abs/the-bernstein-function-a-unifying-framework-of-nonconvex-penalization-in-sparse-estimation-1312.4719</loc><lastmod>2013-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-bernstein-function-a-unifying-framework-of-nonconvex-penalization-in-sparse-estimation-1312.4719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-bernstein-function-a-unifying-framework-of-nonconvex-penalization-in-sparse-estimation-1312.4719"/></url>
<url><loc>https://scifaro.com/en/abs/identification-of-gaussian-process-state-space-models-with-particle-stochastic-approximation-em-1312.4852</loc><lastmod>2013-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identification-of-gaussian-process-state-space-models-with-particle-stochastic-approximation-em-1312.4852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identification-of-gaussian-process-state-space-models-with-particle-stochastic-approximation-em-1312.4852"/></url>
<url><loc>https://scifaro.com/en/abs/recursive-compressed-sensing-1312.4895</loc><lastmod>2013-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recursive-compressed-sensing-1312.4895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recursive-compressed-sensing-1312.4895"/></url>
<url><loc>https://scifaro.com/en/abs/contextually-supervised-source-separation-with-application-to-energy-disaggregation-1312.5023</loc><lastmod>2013-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextually-supervised-source-separation-with-application-to-energy-disaggregation-1312.5023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextually-supervised-source-separation-with-application-to-energy-disaggregation-1312.5023"/></url>
<url><loc>https://scifaro.com/en/abs/functional-bipartite-ranking-a-wavelet-based-filtering-approach-1312.5066</loc><lastmod>2013-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-bipartite-ranking-a-wavelet-based-filtering-approach-1312.5066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-bipartite-ranking-a-wavelet-based-filtering-approach-1312.5066"/></url>
<url><loc>https://scifaro.com/en/abs/the-total-variation-on-hypergraphs-learning-on-hypergraphs-revisited-1312.5179</loc><lastmod>2013-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-total-variation-on-hypergraphs-learning-on-hypergraphs-revisited-1312.5179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-total-variation-on-hypergraphs-learning-on-hypergraphs-revisited-1312.5179"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-eigenproblems-in-data-analysis-balanced-graph-cuts-and-the-ratiodca-prox-1312.5192</loc><lastmod>2014-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-eigenproblems-in-data-analysis-balanced-graph-cuts-and-the-ratiodca-prox-1312.5192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-eigenproblems-in-data-analysis-balanced-graph-cuts-and-the-ratiodca-prox-1312.5192"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-challenges-of-physical-implementations-of-rbms-1312.5258</loc><lastmod>2014-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-challenges-of-physical-implementations-of-rbms-1312.5258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-challenges-of-physical-implementations-of-rbms-1312.5258"/></url>
<url><loc>https://scifaro.com/en/abs/perturbed-gibbs-samplers-for-synthetic-data-release-1312.5370</loc><lastmod>2013-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perturbed-gibbs-samplers-for-synthetic-data-release-1312.5370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perturbed-gibbs-samplers-for-synthetic-data-release-1312.5370"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-parameter-symmetries-in-probabilistic-models-1312.5386</loc><lastmod>2013-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-parameter-symmetries-in-probabilistic-models-1312.5386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-parameter-symmetries-in-probabilistic-models-1312.5386"/></url>
<url><loc>https://scifaro.com/en/abs/approximated-infomax-early-stopping-revisiting-gaussian-rbms-on-natural-images-1312.5412</loc><lastmod>2014-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximated-infomax-early-stopping-revisiting-gaussian-rbms-on-natural-images-1312.5412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximated-infomax-early-stopping-revisiting-gaussian-rbms-on-natural-images-1312.5412"/></url>
<url><loc>https://scifaro.com/en/abs/time-varying-learning-and-content-analytics-via-sparse-factor-analysis-1312.5734</loc><lastmod>2013-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-varying-learning-and-content-analytics-via-sparse-factor-analysis-1312.5734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-varying-learning-and-content-analytics-via-sparse-factor-analysis-1312.5734"/></url>
<url><loc>https://scifaro.com/en/abs/structure-aware-dynamic-scheduler-for-parallel-machine-learning-1312.5766</loc><lastmod>2013-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-aware-dynamic-scheduler-for-parallel-machine-learning-1312.5766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-aware-dynamic-scheduler-for-parallel-machine-learning-1312.5766"/></url>
<url><loc>https://scifaro.com/en/abs/a-generative-product-of-filters-model-of-audio-1312.5857</loc><lastmod>2014-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generative-product-of-filters-model-of-audio-1312.5857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generative-product-of-filters-model-of-audio-1312.5857"/></url>
<url><loc>https://scifaro.com/en/abs/non-parametric-bayesian-modeling-of-complex-networks-1312.5889</loc><lastmod>2013-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-parametric-bayesian-modeling-of-complex-networks-1312.5889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-parametric-bayesian-modeling-of-complex-networks-1312.5889"/></url>
<url><loc>https://scifaro.com/en/abs/group-sparse-embeddings-in-collective-matrix-factorization-1312.5921</loc><lastmod>2014-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-sparse-embeddings-in-collective-matrix-factorization-1312.5921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-sparse-embeddings-in-collective-matrix-factorization-1312.5921"/></url>
<url><loc>https://scifaro.com/en/abs/auto-encoding-variational-bayes-1312.6114</loc><lastmod>2022-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auto-encoding-variational-bayes-1312.6114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auto-encoding-variational-bayes-1312.6114"/></url>
<url><loc>https://scifaro.com/en/abs/neuronal-synchrony-in-complex-valued-deep-networks-1312.6115</loc><lastmod>2014-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuronal-synchrony-in-complex-valued-deep-networks-1312.6115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuronal-synchrony-in-complex-valued-deep-networks-1312.6115"/></url>
<url><loc>https://scifaro.com/en/abs/improving-deep-neural-networks-with-probabilistic-maxout-units-1312.6116</loc><lastmod>2014-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-deep-neural-networks-with-probabilistic-maxout-units-1312.6116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-deep-neural-networks-with-probabilistic-maxout-units-1312.6116"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-analysis-of-dropout-in-piecewise-linear-networks-1312.6197</loc><lastmod>2014-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-analysis-of-dropout-in-piecewise-linear-networks-1312.6197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-analysis-of-dropout-in-piecewise-linear-networks-1312.6197"/></url>
<url><loc>https://scifaro.com/en/abs/relaxations-for-inference-in-restricted-boltzmann-machines-1312.6205</loc><lastmod>2014-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relaxations-for-inference-in-restricted-boltzmann-machines-1312.6205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relaxations-for-inference-in-restricted-boltzmann-machines-1312.6205"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-investigation-of-catastrophic-forgetting-in-gradient-based-neural-networks-1312.6211</loc><lastmod>2015-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-investigation-of-catastrophic-forgetting-in-gradient-based-neural-networks-1312.6211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-investigation-of-catastrophic-forgetting-in-gradient-based-neural-networks-1312.6211"/></url>
<url><loc>https://scifaro.com/en/abs/outlier-robust-system-identification-a-bayesian-kernel-based-approach-1312.6317</loc><lastmod>2013-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outlier-robust-system-identification-a-bayesian-kernel-based-approach-1312.6317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outlier-robust-system-identification-a-bayesian-kernel-based-approach-1312.6317"/></url>
<url><loc>https://scifaro.com/en/abs/joint-segmentation-of-multivariate-time-series-with-hidden-process-regression-for-human-activity-recognition-1312.6956</loc><lastmod>2013-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-segmentation-of-multivariate-time-series-with-hidden-process-regression-for-human-activity-recognition-1312.6956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-segmentation-of-multivariate-time-series-with-hidden-process-regression-for-human-activity-recognition-1312.6956"/></url>
<url><loc>https://scifaro.com/en/abs/an-unsupervised-approach-for-automatic-activity-recognition-based-on-hidden-markov-model-regression-1312.6965</loc><lastmod>2013-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-unsupervised-approach-for-automatic-activity-recognition-based-on-hidden-markov-model-regression-1312.6965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-unsupervised-approach-for-automatic-activity-recognition-based-on-hidden-markov-model-regression-1312.6965"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-learning-of-a-regression-model-based-on-latent-process-application-to-the-estimation-of-fuel-cell-life-time-1312.7003</loc><lastmod>2013-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-learning-of-a-regression-model-based-on-latent-process-application-to-the-estimation-of-fuel-cell-life-time-1312.7003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-learning-of-a-regression-model-based-on-latent-process-application-to-the-estimation-of-fuel-cell-life-time-1312.7003"/></url>
<url><loc>https://scifaro.com/en/abs/a-convex-formulation-for-mixed-regression-with-two-components-minimax-optimal-rates-1312.7006</loc><lastmod>2015-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convex-formulation-for-mixed-regression-with-two-components-minimax-optimal-rates-1312.7006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convex-formulation-for-mixed-regression-with-two-components-minimax-optimal-rates-1312.7006"/></url>
<url><loc>https://scifaro.com/en/abs/classification-automatique-de-donn-ees-temporelles-en-classes-ordonn-ees-1312.7011</loc><lastmod>2013-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-automatique-de-donn-ees-temporelles-en-classes-ordonn-ees-1312.7011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-automatique-de-donn-ees-temporelles-en-classes-ordonn-ees-1312.7011"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-clustering-with-hidden-markov-model-regression-for-time-series-with-regime-changes-1312.7024</loc><lastmod>2013-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-clustering-with-hidden-markov-model-regression-for-time-series-with-regime-changes-1312.7024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-clustering-with-hidden-markov-model-regression-for-time-series-with-regime-changes-1312.7024"/></url>
<url><loc>https://scifaro.com/en/abs/near-separable-non-negative-matrix-factorization-with-ell-1-and-bregman-loss-functions-1312.7167</loc><lastmod>2013-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-separable-non-negative-matrix-factorization-with-ell-1-and-bregman-loss-functions-1312.7167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-separable-non-negative-matrix-factorization-with-ell-1-and-bregman-loss-functions-1312.7167"/></url>
<url><loc>https://scifaro.com/en/abs/lil-ucb-an-optimal-exploration-algorithm-for-multi-armed-bandits-1312.7308</loc><lastmod>2013-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lil-ucb-an-optimal-exploration-algorithm-for-multi-armed-bandits-1312.7308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lil-ucb-an-optimal-exploration-algorithm-for-multi-armed-bandits-1312.7308"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-ambiguity-decomposition-for-understanding-ensemble-diversity-1312.7463</loc><lastmod>2013-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-ambiguity-decomposition-for-understanding-ensemble-diversity-1312.7463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-ambiguity-decomposition-for-understanding-ensemble-diversity-1312.7463"/></url>
<url><loc>https://scifaro.com/en/abs/a-model-selection-approach-for-clustering-a-multinomial-sequence-with-non-negative-factorization-1312.7559</loc><lastmod>2015-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-model-selection-approach-for-clustering-a-multinomial-sequence-with-non-negative-factorization-1312.7559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-model-selection-approach-for-clustering-a-multinomial-sequence-with-non-negative-factorization-1312.7559"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-archetypal-analysis-1312.7604</loc><lastmod>2014-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-archetypal-analysis-1312.7604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-archetypal-analysis-1312.7604"/></url>
<url><loc>https://scifaro.com/en/abs/petuum-a-new-platform-for-distributed-machine-learning-on-big-data-1312.7651</loc><lastmod>2015-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/petuum-a-new-platform-for-distributed-machine-learning-on-big-data-1312.7651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/petuum-a-new-platform-for-distributed-machine-learning-on-big-data-1312.7651"/></url>
<url><loc>https://scifaro.com/en/abs/identification-of-structural-features-in-chemicals-associated-with-cancer-drug-response-a-systematic-data-driven-analysis-1312.7734</loc><lastmod>2014-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identification-of-structural-features-in-chemicals-associated-with-cancer-drug-response-a-systematic-data-driven-analysis-1312.7734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identification-of-structural-features-in-chemicals-associated-with-cancer-drug-response-a-systematic-data-driven-analysis-1312.7734"/></url>
<url><loc>https://scifaro.com/en/abs/a-fused-elastic-net-logistic-regression-model-for-multi-task-binary-classification-1312.7750</loc><lastmod>2013-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fused-elastic-net-logistic-regression-model-for-multi-task-binary-classification-1312.7750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fused-elastic-net-logistic-regression-model-for-multi-task-binary-classification-1312.7750"/></url>
<url><loc>https://scifaro.com/en/abs/consistent-bounded-asynchronous-parameter-servers-for-distributed-ml-1312.7869</loc><lastmod>2014-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-bounded-asynchronous-parameter-servers-for-distributed-ml-1312.7869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-bounded-asynchronous-parameter-servers-for-distributed-ml-1312.7869"/></url>
<url><loc>https://scifaro.com/en/abs/forward-backward-greedy-algorithms-for-general-convex-smooth-functions-over-a-cardinality-constraint-1401.0086</loc><lastmod>2014-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forward-backward-greedy-algorithms-for-general-convex-smooth-functions-over-a-cardinality-constraint-1401.0086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forward-backward-greedy-algorithms-for-general-convex-smooth-functions-over-a-cardinality-constraint-1401.0086"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-variational-inference-1401.0118</loc><lastmod>2014-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-variational-inference-1401.0118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-variational-inference-1401.0118"/></url>
<url><loc>https://scifaro.com/en/abs/convex-optimization-on-banach-spaces-1401.0334</loc><lastmod>2014-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-optimization-on-banach-spaces-1401.0334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-optimization-on-banach-spaces-1401.0334"/></url>
<url><loc>https://scifaro.com/en/abs/stylistic-clusters-and-the-syrian-south-syrian-tradition-of-first-millennium-bce-levantine-ivory-carving-a-machine-learning-approach-1401.0871</loc><lastmod>2014-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stylistic-clusters-and-the-syrian-south-syrian-tradition-of-first-millennium-bce-levantine-ivory-carving-a-machine-learning-approach-1401.0871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stylistic-clusters-and-the-syrian-south-syrian-tradition-of-first-millennium-bce-levantine-ivory-carving-a-machine-learning-approach-1401.0871"/></url>
<url><loc>https://scifaro.com/en/abs/factorized-point-process-intensities-a-spatial-analysis-of-professional-basketball-1401.0942</loc><lastmod>2014-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factorized-point-process-intensities-a-spatial-analysis-of-professional-basketball-1401.0942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factorized-point-process-intensities-a-spatial-analysis-of-professional-basketball-1401.0942"/></url>
<url><loc>https://scifaro.com/en/abs/key-point-selection-and-clustering-of-swimmer-coordination-through-sparse-fisher-em-1401.1489</loc><lastmod>2014-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/key-point-selection-and-clustering-of-swimmer-coordination-through-sparse-fisher-em-1401.1489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/key-point-selection-and-clustering-of-swimmer-coordination-through-sparse-fisher-em-1401.1489"/></url>
<url><loc>https://scifaro.com/en/abs/robust-large-scale-non-negative-matrix-factorization-using-proximal-point-algorithm-1401.1842</loc><lastmod>2014-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-large-scale-non-negative-matrix-factorization-using-proximal-point-algorithm-1401.1842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-large-scale-non-negative-matrix-factorization-using-proximal-point-algorithm-1401.1842"/></url>
<url><loc>https://scifaro.com/en/abs/distinguishing-noise-from-chaos-objective-versus-subjective-criteria-using-horizontal-visibility-graph-1401.2139</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distinguishing-noise-from-chaos-objective-versus-subjective-criteria-using-horizontal-visibility-graph-1401.2139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distinguishing-noise-from-chaos-objective-versus-subjective-criteria-using-horizontal-visibility-graph-1401.2139"/></url>
<url><loc>https://scifaro.com/en/abs/lasso-and-equivalent-quadratic-penalized-models-1401.2304</loc><lastmod>2014-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lasso-and-equivalent-quadratic-penalized-models-1401.2304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lasso-and-equivalent-quadratic-penalized-models-1401.2304"/></url>
<url><loc>https://scifaro.com/en/abs/online-matrix-completion-through-nuclear-norm-regularisation-1401.2451</loc><lastmod>2014-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-matrix-completion-through-nuclear-norm-regularisation-1401.2451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-matrix-completion-through-nuclear-norm-regularisation-1401.2451"/></url>
<url><loc>https://scifaro.com/en/abs/multiscale-shrinkage-and-l-evy-processes-1401.2497</loc><lastmod>2014-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiscale-shrinkage-and-l-evy-processes-1401.2497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiscale-shrinkage-and-l-evy-processes-1401.2497"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-optimization-with-importance-sampling-1401.2753</loc><lastmod>2015-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-optimization-with-importance-sampling-1401.2753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-optimization-with-importance-sampling-1401.2753"/></url>
<url><loc>https://scifaro.com/en/abs/a-variational-bayes-framework-for-sparse-adaptive-estimation-1401.2771</loc><lastmod>2015-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-variational-bayes-framework-for-sparse-adaptive-estimation-1401.2771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-variational-bayes-framework-for-sparse-adaptive-estimation-1401.2771"/></url>
<url><loc>https://scifaro.com/en/abs/binary-classifier-calibration-bayesian-non-parametric-approach-1401.2955</loc><lastmod>2014-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-classifier-calibration-bayesian-non-parametric-approach-1401.2955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-classifier-calibration-bayesian-non-parametric-approach-1401.2955"/></url>
<url><loc>https://scifaro.com/en/abs/detection-of-anomalous-crowd-behavior-using-spatio-temporal-multiresolution-model-and-kronecker-sum-decompositions-1401.3291</loc><lastmod>2014-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detection-of-anomalous-crowd-behavior-using-spatio-temporal-multiresolution-model-and-kronecker-sum-decompositions-1401.3291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detection-of-anomalous-crowd-behavior-using-spatio-temporal-multiresolution-model-and-kronecker-sum-decompositions-1401.3291"/></url>
<url><loc>https://scifaro.com/en/abs/survey-on-the-estimation-of-mutual-information-methods-as-a-measure-of-dependency-versus-correlation-analysis-1401.3358</loc><lastmod>2015-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survey-on-the-estimation-of-mutual-information-methods-as-a-measure-of-dependency-versus-correlation-analysis-1401.3358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survey-on-the-estimation-of-mutual-information-methods-as-a-measure-of-dependency-versus-correlation-analysis-1401.3358"/></url>
<url><loc>https://scifaro.com/en/abs/binary-classifier-calibration-non-parametric-approach-1401.3390</loc><lastmod>2014-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-classifier-calibration-non-parametric-approach-1401.3390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-classifier-calibration-non-parametric-approach-1401.3390"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-conditional-density-filtering-1401.3632</loc><lastmod>2015-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-conditional-density-filtering-1401.3632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-conditional-density-filtering-1401.3632"/></url>
<url><loc>https://scifaro.com/en/abs/coordinate-descent-with-online-adaptation-of-coordinate-frequencies-1401.3737</loc><lastmod>2014-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coordinate-descent-with-online-adaptation-of-coordinate-frequencies-1401.3737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coordinate-descent-with-online-adaptation-of-coordinate-frequencies-1401.3737"/></url>
<url><loc>https://scifaro.com/en/abs/seeded-graph-matching-via-joint-optimization-of-fidelity-and-commensurability-1401.3813</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seeded-graph-matching-via-joint-optimization-of-fidelity-and-commensurability-1401.3813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seeded-graph-matching-via-joint-optimization-of-fidelity-and-commensurability-1401.3813"/></url>
<url><loc>https://scifaro.com/en/abs/community-detection-in-networks-using-graph-distance-1401.3915</loc><lastmod>2014-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/community-detection-in-networks-using-graph-distance-1401.3915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/community-detection-in-networks-using-graph-distance-1401.3915"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-latent-tree-graphical-models-inference-estimation-and-structure-learning-1401.3940</loc><lastmod>2014-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-latent-tree-graphical-models-inference-estimation-and-structure-learning-1401.3940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-latent-tree-graphical-models-inference-estimation-and-structure-learning-1401.3940"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-backpropagation-and-approximate-inference-in-deep-generative-models-1401.4082</loc><lastmod>2014-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-backpropagation-and-approximate-inference-in-deep-generative-models-1401.4082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-backpropagation-and-approximate-inference-in-deep-generative-models-1401.4082"/></url>
<url><loc>https://scifaro.com/en/abs/embedding-graphs-under-centrality-constraints-for-network-visualization-1401.4408</loc><lastmod>2014-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embedding-graphs-under-centrality-constraints-for-network-visualization-1401.4408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embedding-graphs-under-centrality-constraints-for-network-visualization-1401.4408"/></url>
<url><loc>https://scifaro.com/en/abs/marginal-pseudo-likelihood-learning-of-markov-network-structures-1401.4988</loc><lastmod>2025-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marginal-pseudo-likelihood-learning-of-markov-network-structures-1401.4988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marginal-pseudo-likelihood-learning-of-markov-network-structures-1401.4988"/></url>
<url><loc>https://scifaro.com/en/abs/the-why-and-how-of-nonnegative-matrix-factorization-1401.5226</loc><lastmod>2014-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-why-and-how-of-nonnegative-matrix-factorization-1401.5226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-why-and-how-of-nonnegative-matrix-factorization-1401.5226"/></url>
<url><loc>https://scifaro.com/en/abs/alternating-direction-method-of-multipliers-for-penalized-zero-variance-discriminant-analysis-1401.5492</loc><lastmod>2015-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alternating-direction-method-of-multipliers-for-penalized-zero-variance-discriminant-analysis-1401.5492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alternating-direction-method-of-multipliers-for-penalized-zero-variance-discriminant-analysis-1401.5492"/></url>
<url><loc>https://scifaro.com/en/abs/hilbert-space-methods-for-reduced-rank-gaussian-process-regression-1401.5508</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hilbert-space-methods-for-reduced-rank-gaussian-process-regression-1401.5508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hilbert-space-methods-for-reduced-rank-gaussian-process-regression-1401.5508"/></url>
<url><loc>https://scifaro.com/en/abs/identifiability-of-an-integer-modular-acyclic-additive-noise-model-and-its-causal-structure-discovery-1401.5625</loc><lastmod>2014-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifiability-of-an-integer-modular-acyclic-additive-noise-model-and-its-causal-structure-discovery-1401.5625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifiability-of-an-integer-modular-acyclic-additive-noise-model-and-its-causal-structure-discovery-1401.5625"/></url>
<url><loc>https://scifaro.com/en/abs/causal-discovery-in-a-binary-exclusive-or-skew-acyclic-model-bexsam-1401.5636</loc><lastmod>2014-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-discovery-in-a-binary-exclusive-or-skew-acyclic-model-bexsam-1401.5636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-discovery-in-a-binary-exclusive-or-skew-acyclic-model-bexsam-1401.5636"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-least-mean-square-with-adaptive-kernel-size-1401.5899</loc><lastmod>2016-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-least-mean-square-with-adaptive-kernel-size-1401.5899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-least-mean-square-with-adaptive-kernel-size-1401.5899"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-factorization-with-binary-components-1401.6024</loc><lastmod>2014-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-factorization-with-binary-components-1401.6024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-factorization-with-binary-components-1401.6024"/></url>
<url><loc>https://scifaro.com/en/abs/the-em-algorithm-and-the-laplace-approximation-1401.6276</loc><lastmod>2014-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-em-algorithm-and-the-laplace-approximation-1401.6276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-em-algorithm-and-the-laplace-approximation-1401.6276"/></url>
<url><loc>https://scifaro.com/en/abs/ensembled-correlation-between-liver-analysis-outputs-1401.6597</loc><lastmod>2014-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensembled-correlation-between-liver-analysis-outputs-1401.6597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensembled-correlation-between-liver-analysis-outputs-1401.6597"/></url>
<url><loc>https://scifaro.com/en/abs/near-ideal-behavior-of-compressed-sensing-algorithms-1401.6623</loc><lastmod>2014-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-ideal-behavior-of-compressed-sensing-algorithms-1401.6623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-ideal-behavior-of-compressed-sensing-algorithms-1401.6623"/></url>
<url><loc>https://scifaro.com/en/abs/safe-sample-screening-for-support-vector-machines-1401.6740</loc><lastmod>2014-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-sample-screening-for-support-vector-machines-1401.6740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-sample-screening-for-support-vector-machines-1401.6740"/></url>
<url><loc>https://scifaro.com/en/abs/tempering-by-subsampling-1401.7145</loc><lastmod>2014-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tempering-by-subsampling-1401.7145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tempering-by-subsampling-1401.7145"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-nonparametric-comorbidity-analysis-of-psychiatric-disorders-1401.7620</loc><lastmod>2014-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-nonparametric-comorbidity-analysis-of-psychiatric-disorders-1401.7620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-nonparametric-comorbidity-analysis-of-psychiatric-disorders-1401.7620"/></url>
<url><loc>https://scifaro.com/en/abs/support-vector-comparison-machines-1401.8008</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/support-vector-comparison-machines-1401.8008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/support-vector-comparison-machines-1401.8008"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-bayesian-unsupervised-learning-1401.8017</loc><lastmod>2014-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-bayesian-unsupervised-learning-1401.8017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-bayesian-unsupervised-learning-1401.8017"/></url>
<url><loc>https://scifaro.com/en/abs/a-unifying-framework-in-vector-valued-reproducing-kernel-hilbert-spaces-for-manifold-regularization-and-co-regularized-multi-view-learning-1401.8066</loc><lastmod>2016-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unifying-framework-in-vector-valued-reproducing-kernel-hilbert-spaces-for-manifold-regularization-and-co-regularized-multi-view-learning-1401.8066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unifying-framework-in-vector-valued-reproducing-kernel-hilbert-spaces-for-manifold-regularization-and-co-regularized-multi-view-learning-1401.8066"/></url>
<url><loc>https://scifaro.com/en/abs/marginal-and-simultaneous-predictive-classification-using-stratified-graphical-models-1401.8078</loc><lastmod>2015-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marginal-and-simultaneous-predictive-classification-using-stratified-graphical-models-1401.8078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marginal-and-simultaneous-predictive-classification-using-stratified-graphical-models-1401.8078"/></url>
<url><loc>https://scifaro.com/en/abs/dual-to-kernel-learning-with-ideals-1402.0099</loc><lastmod>2014-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-to-kernel-learning-with-ideals-1402.0099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-to-kernel-learning-with-ideals-1402.0099"/></url>
<url><loc>https://scifaro.com/en/abs/markov-blanket-ranking-using-kernel-based-conditional-dependence-measures-1402.0108</loc><lastmod>2014-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-blanket-ranking-using-kernel-based-conditional-dependence-measures-1402.0108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-blanket-ranking-using-kernel-based-conditional-dependence-measures-1402.0108"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-nonlinear-component-analysis-1402.0119</loc><lastmod>2014-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-nonlinear-component-analysis-1402.0119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-nonlinear-component-analysis-1402.0119"/></url>
<url><loc>https://scifaro.com/en/abs/a-high-reproducibility-and-high-accuracy-method-for-automated-topic-classification-1402.0422</loc><lastmod>2014-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-high-reproducibility-and-high-accuracy-method-for-automated-topic-classification-1402.0422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-high-reproducibility-and-high-accuracy-method-for-automated-topic-classification-1402.0422"/></url>
<url><loc>https://scifaro.com/en/abs/online-stochastic-optimization-under-correlated-bandit-feedback-1402.0562</loc><lastmod>2014-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-stochastic-optimization-under-correlated-bandit-feedback-1402.0562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-stochastic-optimization-under-correlated-bandit-feedback-1402.0562"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-and-exploration-via-randomized-value-functions-1402.0635</loc><lastmod>2016-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-and-exploration-via-randomized-value-functions-1402.0635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-and-exploration-via-randomized-value-functions-1402.0635"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-latent-network-structure-in-point-process-data-1402.0914</loc><lastmod>2014-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-latent-network-structure-in-point-process-data-1402.0914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-latent-network-structure-in-point-process-data-1402.0914"/></url>
<url><loc>https://scifaro.com/en/abs/learning-ordered-representations-with-nested-dropout-1402.0915</loc><lastmod>2014-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-ordered-representations-with-nested-dropout-1402.0915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-ordered-representations-with-nested-dropout-1402.0915"/></url>
<url><loc>https://scifaro.com/en/abs/input-warping-for-bayesian-optimization-of-non-stationary-functions-1402.0929</loc><lastmod>2014-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/input-warping-for-bayesian-optimization-of-non-stationary-functions-1402.0929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/input-warping-for-bayesian-optimization-of-non-stationary-functions-1402.0929"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-computational-tradeoffs-in-planted-problems-and-submatrix-localization-with-a-growing-number-of-clusters-and-submatrices-1402.1267</loc><lastmod>2015-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-computational-tradeoffs-in-planted-problems-and-submatrix-localization-with-a-growing-number-of-clusters-and-submatrices-1402.1267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-computational-tradeoffs-in-planted-problems-and-submatrix-localization-with-a-growing-number-of-clusters-and-submatrices-1402.1267"/></url>
<url><loc>https://scifaro.com/en/abs/dissimilarity-based-ensembles-for-multiple-instance-learning-1402.1349</loc><lastmod>2016-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dissimilarity-based-ensembles-for-multiple-instance-learning-1402.1349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dissimilarity-based-ensembles-for-multiple-instance-learning-1402.1349"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-variational-inference-in-sparse-gaussian-process-regression-and-latent-variable-models-1402.1389</loc><lastmod>2014-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-variational-inference-in-sparse-gaussian-process-regression-and-latent-variable-models-1402.1389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-variational-inference-in-sparse-gaussian-process-regression-and-latent-variable-models-1402.1389"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-in-sparse-gaussian-process-regression-and-latent-variable-models-a-gentle-tutorial-1402.1412</loc><lastmod>2014-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-in-sparse-gaussian-process-regression-and-latent-variable-models-a-gentle-tutorial-1402.1412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-in-sparse-gaussian-process-regression-and-latent-variable-models-a-gentle-tutorial-1402.1412"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-number-of-linear-regions-of-deep-neural-networks-1402.1869</loc><lastmod>2014-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-number-of-linear-regions-of-deep-neural-networks-1402.1869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-number-of-linear-regions-of-deep-neural-networks-1402.1869"/></url>
<url><loc>https://scifaro.com/en/abs/thresholding-classifiers-to-maximize-f1-score-1402.1892</loc><lastmod>2014-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thresholding-classifiers-to-maximize-f1-score-1402.1892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thresholding-classifiers-to-maximize-f1-score-1402.1892"/></url>
<url><loc>https://scifaro.com/en/abs/approachability-in-unknown-games-online-learning-meets-multi-objective-optimization-1402.2043</loc><lastmod>2016-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approachability-in-unknown-games-online-learning-meets-multi-objective-optimization-1402.2043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approachability-in-unknown-games-online-learning-meets-multi-objective-optimization-1402.2043"/></url>
<url><loc>https://scifaro.com/en/abs/a-second-order-bound-with-excess-losses-1402.2044</loc><lastmod>2014-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-second-order-bound-with-excess-losses-1402.2044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-second-order-bound-with-excess-losses-1402.2044"/></url>
<url><loc>https://scifaro.com/en/abs/an-algorithmic-framework-for-computing-validation-performance-bounds-by-using-suboptimal-models-1402.2148</loc><lastmod>2014-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-algorithmic-framework-for-computing-validation-performance-bounds-by-using-suboptimal-models-1402.2148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-algorithmic-framework-for-computing-validation-performance-bounds-by-using-suboptimal-models-1402.2148"/></url>
<url><loc>https://scifaro.com/en/abs/universal-matrix-completion-1402.2324</loc><lastmod>2014-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-matrix-completion-1402.2324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-matrix-completion-1402.2324"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-of-linear-and-non-linear-calibrations-for-speaker-recognition-1402.2447</loc><lastmod>2014-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-linear-and-non-linear-calibrations-for-speaker-recognition-1402.2447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-linear-and-non-linear-calibrations-for-speaker-recognition-1402.2447"/></url>
<url><loc>https://scifaro.com/en/abs/justifying-information-geometric-causal-inference-1402.2499</loc><lastmod>2014-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/justifying-information-geometric-causal-inference-1402.2499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/justifying-information-geometric-causal-inference-1402.2499"/></url>
<url><loc>https://scifaro.com/en/abs/online-nonparametric-regression-1402.2594</loc><lastmod>2014-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-nonparametric-regression-1402.2594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-nonparametric-regression-1402.2594"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-via-robust-binary-classification-and-parallel-parameter-estimation-in-large-scale-data-1402.2676</loc><lastmod>2014-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-via-robust-binary-classification-and-parallel-parameter-estimation-in-large-scale-data-1402.2676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-via-robust-binary-classification-and-parallel-parameter-estimation-in-large-scale-data-1402.2676"/></url>
<url><loc>https://scifaro.com/en/abs/equivalence-of-kernel-machine-regression-and-kernel-distance-covariance-for-multidimensional-trait-association-studies-1402.2679</loc><lastmod>2014-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivalence-of-kernel-machine-regression-and-kernel-distance-covariance-for-multidimensional-trait-association-studies-1402.2679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivalence-of-kernel-machine-regression-and-kernel-distance-covariance-for-multidimensional-trait-association-studies-1402.2679"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-estimation-of-renyi-divergence-and-friends-1402.2966</loc><lastmod>2014-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-estimation-of-renyi-divergence-and-friends-1402.2966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-estimation-of-renyi-divergence-and-friends-1402.2966"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-for-multiple-kernel-learning-via-sum-product-networks-1402.3032</loc><lastmod>2014-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-for-multiple-kernel-learning-via-sum-product-networks-1402.3032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-for-multiple-kernel-learning-via-sum-product-networks-1402.3032"/></url>
<url><loc>https://scifaro.com/en/abs/a-robust-ensemble-approach-to-learn-from-positive-and-unlabeled-data-using-svm-base-models-1402.3144</loc><lastmod>2015-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-robust-ensemble-approach-to-learn-from-positive-and-unlabeled-data-using-svm-base-models-1402.3144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-robust-ensemble-approach-to-learn-from-positive-and-unlabeled-data-using-svm-base-models-1402.3144"/></url>
<url><loc>https://scifaro.com/en/abs/zero-bias-autoencoders-and-the-benefits-of-co-adapting-features-1402.3337</loc><lastmod>2015-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-bias-autoencoders-and-the-benefits-of-co-adapting-features-1402.3337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-bias-autoencoders-and-the-benefits-of-co-adapting-features-1402.3337"/></url>
<url><loc>https://scifaro.com/en/abs/performance-limits-of-dictionary-learning-for-sparse-coding-1402.4078</loc><lastmod>2014-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-limits-of-dictionary-learning-for-sparse-coding-1402.4078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-limits-of-dictionary-learning-for-sparse-coding-1402.4078"/></url>
<url><loc>https://scifaro.com/en/abs/the-random-forest-kernel-and-other-kernels-for-big-data-from-random-partitions-1402.4293</loc><lastmod>2014-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-random-forest-kernel-and-other-kernels-for-big-data-from-random-partitions-1402.4293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-random-forest-kernel-and-other-kernels-for-big-data-from-random-partitions-1402.4293"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-construction-and-natural-language-description-of-nonparametric-regression-models-1402.4304</loc><lastmod>2014-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-construction-and-natural-language-description-of-nonparametric-regression-models-1402.4304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-construction-and-natural-language-description-of-nonparametric-regression-models-1402.4304"/></url>
<url><loc>https://scifaro.com/en/abs/student-t-processes-as-alternatives-to-gaussian-processes-1402.4306</loc><lastmod>2014-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/student-t-processes-as-alternatives-to-gaussian-processes-1402.4306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/student-t-processes-as-alternatives-to-gaussian-processes-1402.4306"/></url>
<url><loc>https://scifaro.com/en/abs/a-kernel-independence-test-for-random-processes-1402.4501</loc><lastmod>2014-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-kernel-independence-test-for-random-processes-1402.4501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-kernel-independence-test-for-random-processes-1402.4501"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-semiparametric-scale-invariant-principal-component-analysis-1402.4507</loc><lastmod>2014-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-semiparametric-scale-invariant-principal-component-analysis-1402.4507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-semiparametric-scale-invariant-principal-component-analysis-1402.4507"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-quantile-huber-regression-for-efficient-and-robust-estimation-1402.4624</loc><lastmod>2014-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-quantile-huber-regression-for-efficient-and-robust-estimation-1402.4624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-quantile-huber-regression-for-efficient-and-robust-estimation-1402.4624"/></url>
<url><loc>https://scifaro.com/en/abs/retrieval-of-experiments-by-efficient-estimation-of-marginal-likelihood-1402.4653</loc><lastmod>2014-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/retrieval-of-experiments-by-efficient-estimation-of-marginal-likelihood-1402.4653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/retrieval-of-experiments-by-efficient-estimation-of-marginal-likelihood-1402.4653"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-inference-of-gaussian-process-modulated-renewal-processes-with-application-to-medical-event-data-1402.4732</loc><lastmod>2014-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-inference-of-gaussian-process-modulated-renewal-processes-with-application-to-medical-event-data-1402.4732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-inference-of-gaussian-process-modulated-renewal-processes-with-application-to-medical-event-data-1402.4732"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-parameters-of-determinantal-point-process-kernels-1402.4862</loc><lastmod>2014-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-parameters-of-determinantal-point-process-kernels-1402.4862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-parameters-of-determinantal-point-process-kernels-1402.4862"/></url>
<url><loc>https://scifaro.com/en/abs/le-cam-meets-lecun-deficiency-and-generic-feature-learning-1402.4884</loc><lastmod>2014-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/le-cam-meets-lecun-deficiency-and-generic-feature-learning-1402.4884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/le-cam-meets-lecun-deficiency-and-generic-feature-learning-1402.4884"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-nonparametric-bayesian-inference-via-subsample-annealing-1402.5473</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-nonparametric-bayesian-inference-via-subsample-annealing-1402.5473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-nonparametric-bayesian-inference-via-subsample-annealing-1402.5473"/></url>
<url><loc>https://scifaro.com/en/abs/from-predictive-to-prescriptive-analytics-1402.5481</loc><lastmod>2018-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-predictive-to-prescriptive-analytics-1402.5481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-predictive-to-prescriptive-analytics-1402.5481"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-nonlinear-distance-metric-learning-via-forests-of-max-margin-cluster-hierarchies-1402.5565</loc><lastmod>2014-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-nonlinear-distance-metric-learning-via-forests-of-max-margin-cluster-hierarchies-1402.5565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-nonlinear-distance-metric-learning-via-forests-of-max-margin-cluster-hierarchies-1402.5565"/></url>
<url><loc>https://scifaro.com/en/abs/variational-particle-approximations-1402.5715</loc><lastmod>2015-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-particle-approximations-1402.5715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-particle-approximations-1402.5715"/></url>
<url><loc>https://scifaro.com/en/abs/avoiding-pathologies-in-very-deep-networks-1402.5836</loc><lastmod>2016-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/avoiding-pathologies-in-very-deep-networks-1402.5836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/avoiding-pathologies-in-very-deep-networks-1402.5836"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-gaussian-processes-for-regression-1402.5876</loc><lastmod>2016-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-gaussian-processes-for-regression-1402.5876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-gaussian-processes-for-regression-1402.5876"/></url>
<url><loc>https://scifaro.com/en/abs/on-learning-from-label-proportions-1402.5902</loc><lastmod>2015-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-learning-from-label-proportions-1402.5902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-learning-from-label-proportions-1402.5902"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-sample-size-determination-of-vibration-signals-in-machine-learning-approach-to-fault-diagnosis-of-roller-bearings-1402.6133</loc><lastmod>2014-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-sample-size-determination-of-vibration-signals-in-machine-learning-approach-to-fault-diagnosis-of-roller-bearings-1402.6133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-sample-size-determination-of-vibration-signals-in-machine-learning-approach-to-fault-diagnosis-of-roller-bearings-1402.6133"/></url>
<url><loc>https://scifaro.com/en/abs/novel-deviation-bounds-for-mixture-of-independent-bernoulli-variables-with-application-to-the-missing-mass-1402.6262</loc><lastmod>2015-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/novel-deviation-bounds-for-mixture-of-independent-bernoulli-variables-with-application-to-the-missing-mass-1402.6262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/novel-deviation-bounds-for-mixture-of-independent-bernoulli-variables-with-application-to-the-missing-mass-1402.6262"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-principal-component-regression-with-adaptive-loading-1402.6455</loc><lastmod>2015-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-principal-component-regression-with-adaptive-loading-1402.6455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-principal-component-regression-with-adaptive-loading-1402.6455"/></url>
<url><loc>https://scifaro.com/en/abs/addendum-on-the-scoring-of-gaussian-directed-acyclic-graphical-models-1402.6863</loc><lastmod>2022-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/addendum-on-the-scoring-of-gaussian-directed-acyclic-graphical-models-1402.6863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/addendum-on-the-scoring-of-gaussian-directed-acyclic-graphical-models-1402.6863"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-the-complex-dynamics-and-changing-correlations-of-epileptic-events-1402.6951</loc><lastmod>2014-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-the-complex-dynamics-and-changing-correlations-of-epileptic-events-1402.6951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-the-complex-dynamics-and-changing-correlations-of-epileptic-events-1402.6951"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-multi-scale-optimistic-optimization-1402.7005</loc><lastmod>2014-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-multi-scale-optimistic-optimization-1402.7005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-multi-scale-optimistic-optimization-1402.7005"/></url>
<url><loc>https://scifaro.com/en/abs/learning-graphical-models-with-hubs-1402.7349</loc><lastmod>2014-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-graphical-models-with-hubs-1402.7349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-graphical-models-with-hubs-1402.7349"/></url>
<url><loc>https://scifaro.com/en/abs/cascading-randomized-weighted-majority-a-new-online-ensemble-learning-algorithm-1403.0388</loc><lastmod>2015-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cascading-randomized-weighted-majority-a-new-online-ensemble-learning-algorithm-1403.0388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cascading-randomized-weighted-majority-a-new-online-ensemble-learning-algorithm-1403.0388"/></url>
<url><loc>https://scifaro.com/en/abs/fast-prediction-with-svm-models-containing-rbf-kernels-1403.0736</loc><lastmod>2014-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-prediction-with-svm-models-containing-rbf-kernels-1403.0736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-prediction-with-svm-models-containing-rbf-kernels-1403.0736"/></url>
<url><loc>https://scifaro.com/en/abs/ensemblesvm-a-library-for-ensemble-learning-using-support-vector-machines-1403.0745</loc><lastmod>2014-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemblesvm-a-library-for-ensemble-learning-using-support-vector-machines-1403.0745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemblesvm-a-library-for-ensemble-learning-using-support-vector-machines-1403.0745"/></url>
<url><loc>https://scifaro.com/en/abs/new-perspectives-on-k-support-and-cluster-norms-1403.1481</loc><lastmod>2014-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-perspectives-on-k-support-and-cluster-norms-1403.1481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-perspectives-on-k-support-and-cluster-norms-1403.1481"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-filtering-with-information-rich-and-information-sparse-entities-1403.1600</loc><lastmod>2014-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-filtering-with-information-rich-and-information-sparse-entities-1403.1600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-filtering-with-information-rich-and-information-sparse-entities-1403.1600"/></url>
<url><loc>https://scifaro.com/en/abs/becoming-more-robust-to-label-noise-with-classifier-diversity-1403.1893</loc><lastmod>2014-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/becoming-more-robust-to-label-noise-with-classifier-diversity-1403.1893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/becoming-more-robust-to-label-noise-with-classifier-diversity-1403.1893"/></url>
<url><loc>https://scifaro.com/en/abs/constraint-based-causal-discovery-from-multiple-interventions-over-overlapping-variable-sets-1403.2150</loc><lastmod>2014-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constraint-based-causal-discovery-from-multiple-interventions-over-overlapping-variable-sets-1403.2150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constraint-based-causal-discovery-from-multiple-interventions-over-overlapping-variable-sets-1403.2150"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-dimensionality-reduction-techniques-1403.2877</loc><lastmod>2014-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-dimensionality-reduction-techniques-1403.2877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-dimensionality-reduction-techniques-1403.2877"/></url>
<url><loc>https://scifaro.com/en/abs/the-potential-benefits-of-filtering-versus-hyper-parameter-optimization-1403.3342</loc><lastmod>2014-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-potential-benefits-of-filtering-versus-hyper-parameter-optimization-1403.3342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-potential-benefits-of-filtering-versus-hyper-parameter-optimization-1403.3342"/></url>
<url><loc>https://scifaro.com/en/abs/box-drawings-for-learning-with-imbalanced-data-1403.3378</loc><lastmod>2014-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/box-drawings-for-learning-with-imbalanced-data-1403.3378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/box-drawings-for-learning-with-imbalanced-data-1403.3378"/></url>
<url><loc>https://scifaro.com/en/abs/neighborhood-selection-for-thresholding-based-subspace-clustering-1403.3438</loc><lastmod>2014-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neighborhood-selection-for-thresholding-based-subspace-clustering-1403.3438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neighborhood-selection-for-thresholding-based-subspace-clustering-1403.3438"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-reinforcement-learning-in-factored-mdps-1403.3741</loc><lastmod>2014-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-reinforcement-learning-in-factored-mdps-1403.3741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-reinforcement-learning-in-factored-mdps-1403.3741"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-feature-selection-based-anomaly-detection-1403.4017</loc><lastmod>2014-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-feature-selection-based-anomaly-detection-1403.4017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-feature-selection-based-anomaly-detection-1403.4017"/></url>
<url><loc>https://scifaro.com/en/abs/a-reversible-infinite-hmm-using-normalised-random-measures-1403.4206</loc><lastmod>2014-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reversible-infinite-hmm-using-normalised-random-measures-1403.4206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reversible-infinite-hmm-using-normalised-random-measures-1403.4206"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-sensitivity-of-the-lasso-to-the-number-of-predictor-variables-1403.4544</loc><lastmod>2017-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-sensitivity-of-the-lasso-to-the-number-of-predictor-variables-1403.4544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-sensitivity-of-the-lasso-to-the-number-of-predictor-variables-1403.4544"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-sample-complexity-of-sparse-dictionary-learning-1403.5112</loc><lastmod>2015-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-sparse-dictionary-learning-1403.5112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-sparse-dictionary-learning-1403.5112"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-learning-over-infinite-subgraph-features-1403.5177</loc><lastmod>2014-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-learning-over-infinite-subgraph-features-1403.5177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-learning-over-infinite-subgraph-features-1403.5177"/></url>
<url><loc>https://scifaro.com/en/abs/using-n-grams-models-for-visual-semantic-place-recognition-1403.5370</loc><lastmod>2014-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-n-grams-models-for-visual-semantic-place-recognition-1403.5370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-n-grams-models-for-visual-semantic-place-recognition-1403.5370"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-with-unknown-constraints-1403.5607</loc><lastmod>2014-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-with-unknown-constraints-1403.5607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-with-unknown-constraints-1403.5607"/></url>
<url><loc>https://scifaro.com/en/abs/firefly-monte-carlo-exact-mcmc-with-subsets-of-data-1403.5693</loc><lastmod>2014-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/firefly-monte-carlo-exact-mcmc-with-subsets-of-data-1403.5693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/firefly-monte-carlo-exact-mcmc-with-subsets-of-data-1403.5693"/></url>
<url><loc>https://scifaro.com/en/abs/non-uniform-feature-sampling-for-decision-tree-ensembles-1403.5877</loc><lastmod>2014-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-uniform-feature-sampling-for-decision-tree-ensembles-1403.5877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-uniform-feature-sampling-for-decision-tree-ensembles-1403.5877"/></url>
<url><loc>https://scifaro.com/en/abs/first-order-methods-for-robust-non-negative-matrix-factorization-for-large-scale-noisy-data-1403.5994</loc><lastmod>2014-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/first-order-methods-for-robust-non-negative-matrix-factorization-for-large-scale-noisy-data-1403.5994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/first-order-methods-for-robust-non-negative-matrix-factorization-for-large-scale-noisy-data-1403.5994"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-calibration-for-forensic-evidence-reporting-1403.5997</loc><lastmod>2017-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-calibration-for-forensic-evidence-reporting-1403.5997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-calibration-for-forensic-evidence-reporting-1403.5997"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-schatten-q-and-ky-fan-k-norm-rate-of-low-rank-matrix-estimation-1403.6499</loc><lastmod>2014-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-schatten-q-and-ky-fan-k-norm-rate-of-low-rank-matrix-estimation-1403.6499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-schatten-q-and-ky-fan-k-norm-rate-of-low-rank-matrix-estimation-1403.6499"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-l2-loss-functions-for-learning-sparse-models-1403.6706</loc><lastmod>2014-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-l2-loss-functions-for-learning-sparse-models-1403.6706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-l2-loss-functions-for-learning-sparse-models-1403.6706"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-speaker-linking-1403.7084</loc><lastmod>2014-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-speaker-linking-1403.7084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-speaker-linking-1403.7084"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-mcmc-via-parallel-predictive-prefetching-1403.7265</loc><lastmod>2014-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-mcmc-via-parallel-predictive-prefetching-1403.7265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-mcmc-via-parallel-predictive-prefetching-1403.7265"/></url>
<url><loc>https://scifaro.com/en/abs/systematic-ensemble-learning-for-regression-1403.7267</loc><lastmod>2014-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/systematic-ensemble-learning-for-regression-1403.7267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/systematic-ensemble-learning-for-regression-1403.7267"/></url>
<url><loc>https://scifaro.com/en/abs/characteristic-kernels-and-infinitely-divisible-distributions-1403.7304</loc><lastmod>2016-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characteristic-kernels-and-infinitely-divisible-distributions-1403.7304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characteristic-kernels-and-infinitely-divisible-distributions-1403.7304"/></url>
<url><loc>https://scifaro.com/en/abs/data-generators-for-learning-systems-based-on-rbf-networks-1403.7308</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-generators-for-learning-systems-based-on-rbf-networks-1403.7308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-generators-for-learning-systems-based-on-rbf-networks-1403.7308"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-k-means-with-ell-infty-ell-0-penalty-for-high-dimensional-data-clustering-1403.7890</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-k-means-with-ell-infty-ell-0-penalty-for-high-dimensional-data-clustering-1403.7890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-k-means-with-ell-infty-ell-0-penalty-for-high-dimensional-data-clustering-1403.7890"/></url>
<url><loc>https://scifaro.com/en/abs/learning-latent-block-structure-in-weighted-networks-1404.0431</loc><lastmod>2015-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-latent-block-structure-in-weighted-networks-1404.0431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-latent-block-structure-in-weighted-networks-1404.0431"/></url>
<url><loc>https://scifaro.com/en/abs/subspace-learning-from-extremely-compressed-measurements-1404.0751</loc><lastmod>2016-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subspace-learning-from-extremely-compressed-measurements-1404.0751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subspace-learning-from-extremely-compressed-measurements-1404.0751"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-search-strategy-for-aggregation-and-discretization-of-attributes-of-bayesian-networks-using-minimum-description-length-1404.0752</loc><lastmod>2014-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-search-strategy-for-aggregation-and-discretization-of-attributes-of-bayesian-networks-using-minimum-description-length-1404.0752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-search-strategy-for-aggregation-and-discretization-of-attributes-of-bayesian-networks-using-minimum-description-length-1404.0752"/></url>
<url><loc>https://scifaro.com/en/abs/exact-estimation-of-multiple-directed-acyclic-graphs-1404.1238</loc><lastmod>2014-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-estimation-of-multiple-directed-acyclic-graphs-1404.1238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-estimation-of-multiple-directed-acyclic-graphs-1404.1238"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-learning-with-bernstein-online-aggregation-1404.1356</loc><lastmod>2016-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-learning-with-bernstein-online-aggregation-1404.1356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-learning-with-bernstein-online-aggregation-1404.1356"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-conditional-independence-structure-of-stationary-time-series-a-multitask-learning-approach-1404.1361</loc><lastmod>2015-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-conditional-independence-structure-of-stationary-time-series-a-multitask-learning-approach-1404.1361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-conditional-independence-structure-of-stationary-time-series-a-multitask-learning-approach-1404.1361"/></url>
<url><loc>https://scifaro.com/en/abs/density-estimation-via-discrepancy-based-adaptive-sequential-partition-1404.1425</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/density-estimation-via-discrepancy-based-adaptive-sequential-partition-1404.1425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/density-estimation-via-discrepancy-based-adaptive-sequential-partition-1404.1425"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-committees-for-stock-return-classification-and-prediction-1404.1492</loc><lastmod>2014-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-committees-for-stock-return-classification-and-prediction-1404.1492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-committees-for-stock-return-classification-and-prediction-1404.1492"/></url>
<url><loc>https://scifaro.com/en/abs/tyler-s-covariance-matrix-estimator-in-elliptical-models-with-convex-structure-1404.1935</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tyler-s-covariance-matrix-estimator-in-elliptical-models-with-convex-structure-1404.1935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tyler-s-covariance-matrix-estimator-in-elliptical-models-with-convex-structure-1404.1935"/></url>
<url><loc>https://scifaro.com/en/abs/a-permutation-approach-for-selecting-the-penalty-parameter-in-penalized-model-selection-1404.2007</loc><lastmod>2014-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-permutation-approach-for-selecting-the-penalty-parameter-in-penalized-model-selection-1404.2007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-permutation-approach-for-selecting-the-penalty-parameter-in-penalized-model-selection-1404.2007"/></url>
<url><loc>https://scifaro.com/en/abs/a-naive-bayes-machine-learning-approach-to-risk-prediction-using-censored-time-to-event-data-1404.2124</loc><lastmod>2014-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-naive-bayes-machine-learning-approach-to-risk-prediction-using-censored-time-to-event-data-1404.2124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-naive-bayes-machine-learning-approach-to-risk-prediction-using-censored-time-to-event-data-1404.2124"/></url>
<url><loc>https://scifaro.com/en/abs/data-mining-for-censored-time-to-event-data-a-bayesian-network-model-for-predicting-cardiovascular-risk-from-electronic-health-record-data-1404.2189</loc><lastmod>2014-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-mining-for-censored-time-to-event-data-a-bayesian-network-model-for-predicting-cardiovascular-risk-from-electronic-health-record-data-1404.2189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-mining-for-censored-time-to-event-data-a-bayesian-network-model-for-predicting-cardiovascular-risk-from-electronic-health-record-data-1404.2189"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-nonlinear-regression-errors-without-doing-regression-1404.3219</loc><lastmod>2014-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-nonlinear-regression-errors-without-doing-regression-1404.3219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-nonlinear-regression-errors-without-doing-regression-1404.3219"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-undirected-graphical-model-selection-1404.3418</loc><lastmod>2014-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-undirected-graphical-model-selection-1404.3418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-undirected-graphical-model-selection-1404.3418"/></url>
<url><loc>https://scifaro.com/en/abs/anytime-hierarchical-clustering-1404.3439</loc><lastmod>2014-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anytime-hierarchical-clustering-1404.3439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anytime-hierarchical-clustering-1404.3439"/></url>
<url><loc>https://scifaro.com/en/abs/random-forests-with-random-projections-of-the-output-space-for-high-dimensional-multi-label-classification-1404.3581</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-forests-with-random-projections-of-the-output-space-for-high-dimensional-multi-label-classification-1404.3581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-forests-with-random-projections-of-the-output-space-for-high-dimensional-multi-label-classification-1404.3581"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-the-cvar-via-sampling-1404.3862</loc><lastmod>2014-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-the-cvar-via-sampling-1404.3862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-the-cvar-via-sampling-1404.3862"/></url>
<url><loc>https://scifaro.com/en/abs/multi-borders-classification-1404.4095</loc><lastmod>2014-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-borders-classification-1404.4095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-borders-classification-1404.4095"/></url>
<url><loc>https://scifaro.com/en/abs/meg-decoding-across-subjects-1404.4175</loc><lastmod>2014-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meg-decoding-across-subjects-1404.4175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meg-decoding-across-subjects-1404.4175"/></url>
<url><loc>https://scifaro.com/en/abs/subspace-learning-and-imputation-for-streaming-big-data-matrices-and-tensors-1404.4667</loc><lastmod>2015-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subspace-learning-and-imputation-for-streaming-big-data-matrices-and-tensors-1404.4667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subspace-learning-and-imputation-for-streaming-big-data-matrices-and-tensors-1404.4667"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-via-mode-seeking-by-direct-estimation-of-the-gradient-of-a-log-density-1404.5028</loc><lastmod>2014-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-via-mode-seeking-by-direct-estimation-of-the-gradient-of-a-log-density-1404.5028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-via-mode-seeking-by-direct-estimation-of-the-gradient-of-a-log-density-1404.5028"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-inference-for-nonstationary-heteroscedastic-gaussian-process-regression-1404.5443</loc><lastmod>2017-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-inference-for-nonstationary-heteroscedastic-gaussian-process-regression-1404.5443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-inference-for-nonstationary-heteroscedastic-gaussian-process-regression-1404.5443"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-reconstruction-of-missing-observations-1404.5793</loc><lastmod>2015-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-reconstruction-of-missing-observations-1404.5793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-reconstruction-of-missing-observations-1404.5793"/></url>
<url><loc>https://scifaro.com/en/abs/most-correlated-arms-identification-1404.5903</loc><lastmod>2014-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/most-correlated-arms-identification-1404.5903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/most-correlated-arms-identification-1404.5903"/></url>
<url><loc>https://scifaro.com/en/abs/core-kernels-1404.6216</loc><lastmod>2014-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/core-kernels-1404.6216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/core-kernels-1404.6216"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-uncertainty-in-random-forests-via-confidence-intervals-and-hypothesis-tests-1404.6473</loc><lastmod>2015-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-uncertainty-in-random-forests-via-confidence-intervals-and-hypothesis-tests-1404.6473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-uncertainty-in-random-forests-via-confidence-intervals-and-hypothesis-tests-1404.6473"/></url>
<url><loc>https://scifaro.com/en/abs/a-constrained-matrix-variate-gaussian-process-for-transposable-data-1404.6702</loc><lastmod>2014-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-constrained-matrix-variate-gaussian-process-for-transposable-data-1404.6702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-constrained-matrix-variate-gaussian-process-for-transposable-data-1404.6702"/></url>
<url><loc>https://scifaro.com/en/abs/one-bit-compressive-sensing-with-norm-estimation-1404.6853</loc><lastmod>2016-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-bit-compressive-sensing-with-norm-estimation-1404.6853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-bit-compressive-sensing-with-norm-estimation-1404.6853"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-semiparametric-latent-graphical-model-for-mixed-data-1404.7236</loc><lastmod>2014-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-semiparametric-latent-graphical-model-for-mixed-data-1404.7236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-semiparametric-latent-graphical-model-for-mixed-data-1404.7236"/></url>
<url><loc>https://scifaro.com/en/abs/majority-vote-of-diverse-classifiers-for-late-fusion-1404.7796</loc><lastmod>2014-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/majority-vote-of-diverse-classifiers-for-late-fusion-1404.7796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/majority-vote-of-diverse-classifiers-for-late-fusion-1404.7796"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-incremental-iterative-regularization-1405.0042</loc><lastmod>2015-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-incremental-iterative-regularization-1405.0042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-incremental-iterative-regularization-1405.0042"/></url>
<url><loc>https://scifaro.com/en/abs/fast-mle-computation-for-the-dirichlet-multinomial-1405.0099</loc><lastmod>2023-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-mle-computation-for-the-dirichlet-multinomial-1405.0099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-mle-computation-for-the-dirichlet-multinomial-1405.0099"/></url>
<url><loc>https://scifaro.com/en/abs/a-rank-svm-approach-to-anomaly-detection-1405.0530</loc><lastmod>2014-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-rank-svm-approach-to-anomaly-detection-1405.0530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-rank-svm-approach-to-anomaly-detection-1405.0530"/></url>
<url><loc>https://scifaro.com/en/abs/the-falling-factorial-basis-and-its-statistical-applications-1405.0558</loc><lastmod>2014-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-falling-factorial-basis-and-its-statistical-applications-1405.0558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-falling-factorial-basis-and-its-statistical-applications-1405.0558"/></url>
<url><loc>https://scifaro.com/en/abs/why-and-when-and-how-contrastive-divergence-works-1405.0602</loc><lastmod>2014-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-and-when-and-how-contrastive-divergence-works-1405.0602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-and-when-and-how-contrastive-divergence-works-1405.0602"/></url>
<url><loc>https://scifaro.com/en/abs/combining-multiple-clusterings-via-crowd-agreement-estimation-and-multi-granularity-link-analysis-1405.1297</loc><lastmod>2016-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-multiple-clusterings-via-crowd-agreement-estimation-and-multi-granularity-link-analysis-1405.1297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-multiple-clusterings-via-crowd-agreement-estimation-and-multi-granularity-link-analysis-1405.1297"/></url>
<url><loc>https://scifaro.com/en/abs/is-joint-training-better-for-deep-auto-encoders-1405.1380</loc><lastmod>2015-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-joint-training-better-for-deep-auto-encoders-1405.1380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-joint-training-better-for-deep-auto-encoders-1405.1380"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayes-mini-tutorial-a-continuous-union-bound-1405.1580</loc><lastmod>2014-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayes-mini-tutorial-a-continuous-union-bound-1405.1580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayes-mini-tutorial-a-continuous-union-bound-1405.1580"/></url>
<url><loc>https://scifaro.com/en/abs/on-tensor-completion-via-nuclear-norm-minimization-1405.1773</loc><lastmod>2014-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-tensor-completion-via-nuclear-norm-minimization-1405.1773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-tensor-completion-via-nuclear-norm-minimization-1405.1773"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-monte-carlo-architecture-for-parameter-optimization-1405.2377</loc><lastmod>2014-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-monte-carlo-architecture-for-parameter-optimization-1405.2377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-monte-carlo-architecture-for-parameter-optimization-1405.2377"/></url>
<url><loc>https://scifaro.com/en/abs/functional-bandits-1405.2432</loc><lastmod>2014-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-bandits-1405.2432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-bandits-1405.2432"/></url>
<url><loc>https://scifaro.com/en/abs/learning-modular-structures-from-network-data-and-node-variables-1405.2566</loc><lastmod>2014-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-modular-structures-from-network-data-and-node-variables-1405.2566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-modular-structures-from-network-data-and-node-variables-1405.2566"/></url>
<url><loc>https://scifaro.com/en/abs/structural-return-maximization-for-reinforcement-learning-1405.2606</loc><lastmod>2014-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structural-return-maximization-for-reinforcement-learning-1405.2606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structural-return-maximization-for-reinforcement-learning-1405.2606"/></url>
<url><loc>https://scifaro.com/en/abs/policy-gradients-for-cvar-constrained-mdps-1405.2690</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-gradients-for-cvar-constrained-mdps-1405.2690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-gradients-for-cvar-constrained-mdps-1405.2690"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-minibatch-stochastic-gradient-descent-using-stratified-sampling-1405.3080</loc><lastmod>2014-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-minibatch-stochastic-gradient-descent-using-stratified-sampling-1405.3080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-minibatch-stochastic-gradient-descent-using-stratified-sampling-1405.3080"/></url>
<url><loc>https://scifaro.com/en/abs/graph-matching-relax-at-your-own-risk-1405.3133</loc><lastmod>2015-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-matching-relax-at-your-own-risk-1405.3133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-matching-relax-at-your-own-risk-1405.3133"/></url>
<url><loc>https://scifaro.com/en/abs/circulant-binary-embedding-1405.3162</loc><lastmod>2014-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/circulant-binary-embedding-1405.3162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/circulant-binary-embedding-1405.3162"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-sparse-covariance-estimation-via-self-concordance-1405.3263</loc><lastmod>2014-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-sparse-covariance-estimation-via-self-concordance-1405.3263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-sparse-covariance-estimation-via-self-concordance-1405.3263"/></url>
<url><loc>https://scifaro.com/en/abs/effects-of-sampling-methods-on-prediction-quality-the-case-of-classifying-land-cover-using-decision-trees-1405.3295</loc><lastmod>2014-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effects-of-sampling-methods-on-prediction-quality-the-case-of-classifying-land-cover-using-decision-trees-1405.3295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effects-of-sampling-methods-on-prediction-quality-the-case-of-classifying-land-cover-using-decision-trees-1405.3295"/></url>
<url><loc>https://scifaro.com/en/abs/learning-rates-for-the-risk-of-kernel-based-quantile-regression-estimators-in-additive-models-1405.3379</loc><lastmod>2014-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-rates-for-the-risk-of-kernel-based-quantile-regression-estimators-in-additive-models-1405.3379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-rates-for-the-risk-of-kernel-based-quantile-regression-estimators-in-additive-models-1405.3379"/></url>
<url><loc>https://scifaro.com/en/abs/improving-offline-evaluation-of-contextual-bandit-algorithms-via-bootstrapping-techniques-1405.3536</loc><lastmod>2014-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-offline-evaluation-of-contextual-bandit-algorithms-via-bootstrapping-techniques-1405.3536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-offline-evaluation-of-contextual-bandit-algorithms-via-bootstrapping-techniques-1405.3536"/></url>
<url><loc>https://scifaro.com/en/abs/effective-bayesian-modeling-of-groups-of-related-count-time-series-1405.3738</loc><lastmod>2014-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-bayesian-modeling-of-groups-of-related-count-time-series-1405.3738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-bayesian-modeling-of-groups-of-related-count-time-series-1405.3738"/></url>
<url><loc>https://scifaro.com/en/abs/fast-ridge-regression-with-randomized-principal-component-analysis-and-gradient-descent-1405.3952</loc><lastmod>2014-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-ridge-regression-with-randomized-principal-component-analysis-and-gradient-descent-1405.3952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-ridge-regression-with-randomized-principal-component-analysis-and-gradient-descent-1405.3952"/></url>
<url><loc>https://scifaro.com/en/abs/classification-using-log-gaussian-cox-processes-1405.4141</loc><lastmod>2014-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-using-log-gaussian-cox-processes-1405.4141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-using-log-gaussian-cox-processes-1405.4141"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-mean-shrinkage-estimators-1405.5505</loc><lastmod>2016-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-mean-shrinkage-estimators-1405.5505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-mean-shrinkage-estimators-1405.5505"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-theoretical-guarantees-for-parameter-estimation-of-gaussian-random-field-models-a-sparse-precision-matrix-approach-1405.5576</loc><lastmod>2021-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-theoretical-guarantees-for-parameter-estimation-of-gaussian-random-field-models-a-sparse-precision-matrix-approach-1405.5576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-theoretical-guarantees-for-parameter-estimation-of-gaussian-random-field-models-a-sparse-precision-matrix-approach-1405.5576"/></url>
<url><loc>https://scifaro.com/en/abs/asymmetric-lsh-alsh-for-sublinear-time-maximum-inner-product-search-mips-1405.5869</loc><lastmod>2014-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymmetric-lsh-alsh-for-sublinear-time-maximum-inner-product-search-mips-1405.5869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymmetric-lsh-alsh-for-sublinear-time-maximum-inner-product-search-mips-1405.5869"/></url>
<url><loc>https://scifaro.com/en/abs/compressive-mining-fast-and-optimal-data-mining-in-the-compressed-domain-1405.5873</loc><lastmod>2014-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressive-mining-fast-and-optimal-data-mining-in-the-compressed-domain-1405.5873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressive-mining-fast-and-optimal-data-mining-in-the-compressed-domain-1405.5873"/></url>
<url><loc>https://scifaro.com/en/abs/stabilized-nearest-neighbor-classifier-and-its-statistical-properties-1405.6642</loc><lastmod>2015-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stabilized-nearest-neighbor-classifier-and-its-statistical-properties-1405.6642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stabilized-nearest-neighbor-classifier-and-its-statistical-properties-1405.6642"/></url>
<url><loc>https://scifaro.com/en/abs/layered-logic-classifiers-exploring-the-and-and-or-relations-1405.6804</loc><lastmod>2014-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/layered-logic-classifiers-exploring-the-and-and-or-relations-1405.6804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/layered-logic-classifiers-exploring-the-and-and-or-relations-1405.6804"/></url>
<url><loc>https://scifaro.com/en/abs/futility-analysis-in-the-cross-validation-of-machine-learning-models-1405.6974</loc><lastmod>2014-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/futility-analysis-in-the-cross-validation-of-machine-learning-models-1405.6974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/futility-analysis-in-the-cross-validation-of-machine-learning-models-1405.6974"/></url>
<url><loc>https://scifaro.com/en/abs/an-easy-to-use-repository-for-comparing-and-improving-machine-learning-algorithm-usage-1405.7292</loc><lastmod>2014-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-easy-to-use-repository-for-comparing-and-improving-machine-learning-algorithm-usage-1405.7292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-easy-to-use-repository-for-comparing-and-improving-machine-learning-algorithm-usage-1405.7292"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-for-learning-with-linear-polygonal-quadratic-and-conic-side-knowledge-1405.7764</loc><lastmod>2014-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-for-learning-with-linear-polygonal-quadratic-and-conic-side-knowledge-1405.7764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-for-learning-with-linear-polygonal-quadratic-and-conic-side-knowledge-1405.7764"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-vector-fields-on-manifolds-and-the-embedding-of-directed-graphs-1406.0013</loc><lastmod>2014-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-vector-fields-on-manifolds-and-the-embedding-of-directed-graphs-1406.0013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-vector-fields-on-manifolds-and-the-embedding-of-directed-graphs-1406.0013"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-via-low-rank-approximation-for-community-detection-in-networks-1406.0067</loc><lastmod>2015-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-via-low-rank-approximation-for-community-detection-in-networks-1406.0067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-via-low-rank-approximation-for-community-detection-in-networks-1406.0067"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-reconfiguration-moves-for-dirichlet-mixtures-1406.0071</loc><lastmod>2014-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-reconfiguration-moves-for-dirichlet-mixtures-1406.0071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-reconfiguration-moves-for-dirichlet-mixtures-1406.0071"/></url>
<url><loc>https://scifaro.com/en/abs/improved-graph-laplacian-via-geometric-self-consistency-1406.0118</loc><lastmod>2014-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-graph-laplacian-via-geometric-self-consistency-1406.0118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-graph-laplacian-via-geometric-self-consistency-1406.0118"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-for-linear-svm-with-provable-guarantees-1406.0167</loc><lastmod>2015-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-for-linear-svm-with-provable-guarantees-1406.0167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-for-linear-svm-with-provable-guarantees-1406.0167"/></url>
<url><loc>https://scifaro.com/en/abs/convex-total-least-squares-1406.0189</loc><lastmod>2014-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-total-least-squares-1406.0189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-total-least-squares-1406.0189"/></url>
<url><loc>https://scifaro.com/en/abs/inference-of-sparse-networks-with-unobserved-variables-application-to-gene-regulatory-networks-1406.0193</loc><lastmod>2014-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-of-sparse-networks-with-unobserved-variables-application-to-gene-regulatory-networks-1406.0193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-of-sparse-networks-with-unobserved-variables-application-to-gene-regulatory-networks-1406.0193"/></url>
<url><loc>https://scifaro.com/en/abs/on-classification-with-bags-groups-and-sets-1406.0281</loc><lastmod>2016-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-classification-with-bags-groups-and-sets-1406.0281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-classification-with-bags-groups-and-sets-1406.0281"/></url>
<url><loc>https://scifaro.com/en/abs/causal-inference-through-a-witness-protection-program-1406.0531</loc><lastmod>2014-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-inference-through-a-witness-protection-program-1406.0531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-inference-through-a-witness-protection-program-1406.0531"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-margin-classifier-working-in-a-set-of-strings-1406.0597</loc><lastmod>2016-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-margin-classifier-working-in-a-set-of-strings-1406.0597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-margin-classifier-working-in-a-set-of-strings-1406.0597"/></url>
<url><loc>https://scifaro.com/en/abs/linear-dimensionality-reduction-survey-insights-and-generalizations-1406.0873</loc><lastmod>2016-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-dimensionality-reduction-survey-insights-and-generalizations-1406.0873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-dimensionality-reduction-survey-insights-and-generalizations-1406.0873"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-neural-networks-for-qsar-predictions-1406.1231</loc><lastmod>2014-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-neural-networks-for-qsar-predictions-1406.1231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-neural-networks-for-qsar-predictions-1406.1231"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-matrix-completion-prior-specification-1406.1440</loc><lastmod>2014-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-matrix-completion-prior-specification-1406.1440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-matrix-completion-prior-specification-1406.1440"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-neural-autoregressive-distribution-estimator-nade-k-1406.1485</loc><lastmod>2014-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-neural-autoregressive-distribution-estimator-nade-k-1406.1485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-neural-autoregressive-distribution-estimator-nade-k-1406.1485"/></url>
<url><loc>https://scifaro.com/en/abs/consistent-procedures-for-cluster-tree-estimation-and-pruning-1406.1546</loc><lastmod>2014-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-procedures-for-cluster-tree-estimation-and-pruning-1406.1546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-procedures-for-cluster-tree-estimation-and-pruning-1406.1546"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-of-latent-state-sequences-using-recurrent-networks-1406.1655</loc><lastmod>2014-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-of-latent-state-sequences-using-recurrent-networks-1406.1655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-of-latent-state-sequences-using-recurrent-networks-1406.1655"/></url>
<url><loc>https://scifaro.com/en/abs/formal-hypothesis-tests-for-additive-structure-in-random-forests-1406.1845</loc><lastmod>2016-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/formal-hypothesis-tests-for-additive-structure-in-random-forests-1406.1845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/formal-hypothesis-tests-for-additive-structure-in-random-forests-1406.1845"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-reinforcement-learning-and-the-eluder-dimension-1406.1853</loc><lastmod>2014-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-and-the-eluder-dimension-1406.1853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-and-the-eluder-dimension-1406.1853"/></url>
<url><loc>https://scifaro.com/en/abs/compressed-gaussian-process-1406.1916</loc><lastmod>2014-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressed-gaussian-process-1406.1916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressed-gaussian-process-1406.1916"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-independence-testing-for-small-sample-sizes-1406.1922</loc><lastmod>2015-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-independence-testing-for-small-sample-sizes-1406.1922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-independence-testing-for-small-sample-sizes-1406.1922"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-flexible-admm-algorithms-for-trend-filtering-1406.2082</loc><lastmod>2015-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-flexible-admm-algorithms-for-trend-filtering-1406.2082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-flexible-admm-algorithms-for-trend-filtering-1406.2082"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-decreasing-power-of-kernel-and-distance-based-nonparametric-hypothesis-tests-in-high-dimensions-1406.2083</loc><lastmod>2014-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-decreasing-power-of-kernel-and-distance-based-nonparametric-hypothesis-tests-in-high-dimensions-1406.2083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-decreasing-power-of-kernel-and-distance-based-nonparametric-hypothesis-tests-in-high-dimensions-1406.2083"/></url>
<url><loc>https://scifaro.com/en/abs/learning-directed-acyclic-graphs-via-bootstrap-aggregating-1406.2098</loc><lastmod>2014-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-directed-acyclic-graphs-via-bootstrap-aggregating-1406.2098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-directed-acyclic-graphs-via-bootstrap-aggregating-1406.2098"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-the-effects-of-detrimental-instances-1406.2237</loc><lastmod>2014-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-the-effects-of-detrimental-instances-1406.2237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-the-effects-of-detrimental-instances-1406.2237"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-entropy-search-for-efficient-global-optimization-of-black-box-functions-1406.2541</loc><lastmod>2014-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-entropy-search-for-efficient-global-optimization-of-black-box-functions-1406.2541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-entropy-search-for-efficient-global-optimization-of-black-box-functions-1406.2541"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-ode-solvers-with-runge-kutta-means-1406.2582</loc><lastmod>2014-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-ode-solvers-with-runge-kutta-means-1406.2582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-ode-solvers-with-runge-kutta-means-1406.2582"/></url>
<url><loc>https://scifaro.com/en/abs/graph-approximation-and-clustering-on-a-budget-1406.2602</loc><lastmod>2014-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-approximation-and-clustering-on-a-budget-1406.2602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-approximation-and-clustering-on-a-budget-1406.2602"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-networks-1406.2661</loc><lastmod>2014-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-networks-1406.2661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-networks-1406.2661"/></url>
<url><loc>https://scifaro.com/en/abs/mondrian-forests-efficient-online-random-forests-1406.2673</loc><lastmod>2015-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mondrian-forests-efficient-online-random-forests-1406.2673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mondrian-forests-efficient-online-random-forests-1406.2673"/></url>
<url><loc>https://scifaro.com/en/abs/learning-latent-variable-gaussian-graphical-models-1406.2721</loc><lastmod>2014-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-latent-variable-gaussian-graphical-models-1406.2721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-latent-variable-gaussian-graphical-models-1406.2721"/></url>
<url><loc>https://scifaro.com/en/abs/provable-tensor-factorization-with-missing-data-1406.2784</loc><lastmod>2014-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-tensor-factorization-with-missing-data-1406.2784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-tensor-factorization-with-missing-data-1406.2784"/></url>
<url><loc>https://scifaro.com/en/abs/algebraic-combinatorial-methods-for-low-rank-matrix-completion-with-application-to-athletic-performance-prediction-1406.2864</loc><lastmod>2014-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algebraic-combinatorial-methods-for-low-rank-matrix-completion-with-application-to-athletic-performance-prediction-1406.2864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algebraic-combinatorial-methods-for-low-rank-matrix-completion-with-application-to-athletic-performance-prediction-1406.2864"/></url>
<url><loc>https://scifaro.com/en/abs/techniques-for-learning-binary-stochastic-feedforward-neural-networks-1406.2989</loc><lastmod>2015-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/techniques-for-learning-binary-stochastic-feedforward-neural-networks-1406.2989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/techniques-for-learning-binary-stochastic-feedforward-neural-networks-1406.2989"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-parameter-estimation-in-probabilistic-graphical-models-1406.3070</loc><lastmod>2014-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-parameter-estimation-in-probabilistic-graphical-models-1406.3070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-parameter-estimation-in-probabilistic-graphical-models-1406.3070"/></url>
<url><loc>https://scifaro.com/en/abs/expressive-power-and-approximation-errors-of-restricted-boltzmann-machines-1406.3140</loc><lastmod>2014-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expressive-power-and-approximation-errors-of-restricted-boltzmann-machines-1406.3140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expressive-power-and-approximation-errors-of-restricted-boltzmann-machines-1406.3140"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-and-robustness-of-batched-weighted-average-algorithm-with-v-geometrically-ergodic-markov-data-1406.3166</loc><lastmod>2014-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-and-robustness-of-batched-weighted-average-algorithm-with-v-geometrically-ergodic-markov-data-1406.3166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-and-robustness-of-batched-weighted-average-algorithm-with-v-geometrically-ergodic-markov-data-1406.3166"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-robust-least-squares-estimation-in-corrupted-linear-models-1406.3175</loc><lastmod>2014-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-robust-least-squares-estimation-in-corrupted-linear-models-1406.3175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-robust-least-squares-estimation-in-corrupted-linear-models-1406.3175"/></url>
<url><loc>https://scifaro.com/en/abs/online-optimization-for-large-scale-max-norm-regularization-1406.3190</loc><lastmod>2016-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-optimization-for-large-scale-max-norm-regularization-1406.3190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-optimization-for-large-scale-max-norm-regularization-1406.3190"/></url>
<url><loc>https://scifaro.com/en/abs/loco-distributing-ridge-regression-with-random-projections-1406.3469</loc><lastmod>2015-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loco-distributing-ridge-regression-with-random-projections-1406.3469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loco-distributing-ridge-regression-with-random-projections-1406.3469"/></url>
<url><loc>https://scifaro.com/en/abs/smoothed-gradients-for-stochastic-variational-inference-1406.3650</loc><lastmod>2014-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smoothed-gradients-for-stochastic-variational-inference-1406.3650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smoothed-gradients-for-stochastic-variational-inference-1406.3650"/></url>
<url><loc>https://scifaro.com/en/abs/dimensionality-reduction-for-time-series-data-1406.3711</loc><lastmod>2014-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimensionality-reduction-for-time-series-data-1406.3711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimensionality-reduction-for-time-series-data-1406.3711"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-methods-meet-em-a-provably-optimal-algorithm-for-crowdsourcing-1406.3824</loc><lastmod>2014-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-methods-meet-em-a-provably-optimal-algorithm-for-crowdsourcing-1406.3824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-methods-meet-em-a-provably-optimal-algorithm-for-crowdsourcing-1406.3824"/></url>
<url><loc>https://scifaro.com/en/abs/an-incremental-reseeding-strategy-for-clustering-1406.3837</loc><lastmod>2014-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-incremental-reseeding-strategy-for-clustering-1406.3837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-incremental-reseeding-strategy-for-clustering-1406.3837"/></url>
<url><loc>https://scifaro.com/en/abs/a-low-variance-consistent-test-of-relative-dependency-1406.3852</loc><lastmod>2015-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-low-variance-consistent-test-of-relative-dependency-1406.3852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-low-variance-consistent-test-of-relative-dependency-1406.3852"/></url>
<url><loc>https://scifaro.com/en/abs/freeze-thaw-bayesian-optimization-1406.3896</loc><lastmod>2014-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/freeze-thaw-bayesian-optimization-1406.3896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/freeze-thaw-bayesian-optimization-1406.3896"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-stochastic-optimization-of-the-regularized-risk-1406.4363</loc><lastmod>2023-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-stochastic-optimization-of-the-regularized-risk-1406.4363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-stochastic-optimization-of-the-regularized-risk-1406.4363"/></url>
<url><loc>https://scifaro.com/en/abs/rapid-rapidly-accelerated-proximal-gradient-algorithms-for-convex-minimization-1406.4445</loc><lastmod>2014-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapid-rapidly-accelerated-proximal-gradient-algorithms-for-convex-minimization-1406.4445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapid-rapidly-accelerated-proximal-gradient-algorithms-for-convex-minimization-1406.4445"/></url>
<url><loc>https://scifaro.com/en/abs/dfacto-distributed-factorization-of-tensors-1406.4519</loc><lastmod>2014-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dfacto-distributed-factorization-of-tensors-1406.4519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dfacto-distributed-factorization-of-tensors-1406.4519"/></url>
<url><loc>https://scifaro.com/en/abs/primitives-for-dynamic-big-model-parallelism-1406.4580</loc><lastmod>2014-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/primitives-for-dynamic-big-model-parallelism-1406.4580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/primitives-for-dynamic-big-model-parallelism-1406.4580"/></url>
<url><loc>https://scifaro.com/en/abs/an-entropy-search-portfolio-for-bayesian-optimization-1406.4625</loc><lastmod>2015-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-entropy-search-portfolio-for-bayesian-optimization-1406.4625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-entropy-search-portfolio-for-bayesian-optimization-1406.4625"/></url>
<url><loc>https://scifaro.com/en/abs/identifiability-of-the-simplex-volume-minimization-criterion-for-blind-hyperspectral-unmixing-the-no-pure-pixel-case-1406.5273</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifiability-of-the-simplex-volume-minimization-criterion-for-blind-hyperspectral-unmixing-the-no-pure-pixel-case-1406.5273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifiability-of-the-simplex-volume-minimization-criterion-for-blind-hyperspectral-unmixing-the-no-pure-pixel-case-1406.5273"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-pure-pixel-identification-performance-via-preconditioning-1406.5286</loc><lastmod>2015-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-pure-pixel-identification-performance-via-preconditioning-1406.5286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-pure-pixel-identification-performance-via-preconditioning-1406.5286"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-dantzig-selector-application-to-the-k-support-norm-1406.5291</loc><lastmod>2015-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-dantzig-selector-application-to-the-k-support-norm-1406.5291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-dantzig-selector-application-to-the-k-support-norm-1406.5291"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-future-behavior-of-a-time-varying-probability-distribution-1406.5362</loc><lastmod>2014-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-future-behavior-of-a-time-varying-probability-distribution-1406.5362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-future-behavior-of-a-time-varying-probability-distribution-1406.5362"/></url>
<url><loc>https://scifaro.com/en/abs/noise-adaptive-margin-based-active-learning-and-lower-bounds-under-tsybakov-noise-condition-1406.5383</loc><lastmod>2015-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-adaptive-margin-based-active-learning-and-lower-bounds-under-tsybakov-noise-condition-1406.5383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-adaptive-margin-based-active-learning-and-lower-bounds-under-tsybakov-noise-condition-1406.5383"/></url>
<url><loc>https://scifaro.com/en/abs/an-open-source-pattern-recognition-toolbox-for-matlab-1406.5565</loc><lastmod>2014-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-open-source-pattern-recognition-toolbox-for-matlab-1406.5565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-open-source-pattern-recognition-toolbox-for-matlab-1406.5565"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-optimal-inference-from-partial-rankings-1406.5638</loc><lastmod>2014-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-optimal-inference-from-partial-rankings-1406.5638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-optimal-inference-from-partial-rankings-1406.5638"/></url>
<url><loc>https://scifaro.com/en/abs/convex-optimization-learning-of-faithful-euclidean-distance-representations-in-nonlinear-dimensionality-reduction-1406.5736</loc><lastmod>2014-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-optimization-learning-of-faithful-euclidean-distance-representations-in-nonlinear-dimensionality-reduction-1406.5736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-optimization-learning-of-faithful-euclidean-distance-representations-in-nonlinear-dimensionality-reduction-1406.5736"/></url>
<url><loc>https://scifaro.com/en/abs/divide-and-conquer-learning-by-anchoring-a-conical-hull-1406.5752</loc><lastmod>2014-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/divide-and-conquer-learning-by-anchoring-a-conical-hull-1406.5752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/divide-and-conquer-learning-by-anchoring-a-conical-hull-1406.5752"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-perspective-on-randomized-sketching-for-ordinary-least-squares-1406.5986</loc><lastmod>2015-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-perspective-on-randomized-sketching-for-ordinary-least-squares-1406.5986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-perspective-on-randomized-sketching-for-ordinary-least-squares-1406.5986"/></url>
<url><loc>https://scifaro.com/en/abs/exact-fit-of-simple-finite-mixture-models-1406.6038</loc><lastmod>2014-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-fit-of-simple-finite-mixture-models-1406.6038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-fit-of-simple-finite-mixture-models-1406.6038"/></url>
<url><loc>https://scifaro.com/en/abs/reliable-abc-model-choice-via-random-forests-1406.6288</loc><lastmod>2015-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliable-abc-model-choice-via-random-forests-1406.6288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliable-abc-model-choice-via-random-forests-1406.6288"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-dimension-selection-for-a-non-negative-factorization-approach-to-clustering-multiple-random-graphs-1406.6315</loc><lastmod>2014-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-dimension-selection-for-a-non-negative-factorization-approach-to-clustering-multiple-random-graphs-1406.6315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-dimension-selection-for-a-non-negative-factorization-approach-to-clustering-multiple-random-graphs-1406.6315"/></url>
<url><loc>https://scifaro.com/en/abs/techniques-for-clustering-interaction-data-as-a-collection-of-graphs-1406.6319</loc><lastmod>2015-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/techniques-for-clustering-interaction-data-as-a-collection-of-graphs-1406.6319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/techniques-for-clustering-interaction-data-as-a-collection-of-graphs-1406.6319"/></url>
<url><loc>https://scifaro.com/en/abs/when-is-it-better-to-compare-than-to-score-1406.6618</loc><lastmod>2014-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-is-it-better-to-compare-than-to-score-1406.6618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-is-it-better-to-compare-than-to-score-1406.6618"/></url>
<url><loc>https://scifaro.com/en/abs/mass-univariate-hypothesis-testing-on-meeg-data-using-cross-validation-1406.6720</loc><lastmod>2014-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mass-univariate-hypothesis-testing-on-meeg-data-using-cross-validation-1406.6720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mass-univariate-hypothesis-testing-on-meeg-data-using-cross-validation-1406.6720"/></url>
<url><loc>https://scifaro.com/en/abs/a-fuzzy-clustering-algorithm-for-the-mode-seeking-framework-1406.7130</loc><lastmod>2016-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fuzzy-clustering-algorithm-for-the-mode-seeking-framework-1406.7130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fuzzy-clustering-algorithm-for-the-mode-seeking-framework-1406.7130"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-population-codes-for-control-and-estimation-1406.7179</loc><lastmod>2014-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-population-codes-for-control-and-estimation-1406.7179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-population-codes-for-control-and-estimation-1406.7179"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-quasi-newton-for-computationally-intensive-l1-regularized-m-estimators-1406.7321</loc><lastmod>2015-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-quasi-newton-for-computationally-intensive-l1-regularized-m-estimators-1406.7321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-quasi-newton-for-computationally-intensive-l1-regularized-m-estimators-1406.7321"/></url>
<url><loc>https://scifaro.com/en/abs/convex-analysis-of-mixtures-for-separating-non-negative-well-grounded-sources-1406.7349</loc><lastmod>2015-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-analysis-of-mixtures-for-separating-non-negative-well-grounded-sources-1406.7349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-analysis-of-mixtures-for-separating-non-negative-well-grounded-sources-1406.7349"/></url>
<url><loc>https://scifaro.com/en/abs/exponentially-increasing-the-capacity-to-computation-ratio-for-conditional-computation-in-deep-learning-1406.7362</loc><lastmod>2014-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponentially-increasing-the-capacity-to-computation-ratio-for-conditional-computation-in-deep-learning-1406.7362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponentially-increasing-the-capacity-to-computation-ratio-for-conditional-computation-in-deep-learning-1406.7362"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-for-learning-parameterized-markov-decision-processes-1406.7498</loc><lastmod>2015-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-for-learning-parameterized-markov-decision-processes-1406.7498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-for-learning-parameterized-markov-decision-processes-1406.7498"/></url>
<url><loc>https://scifaro.com/en/abs/direct-density-derivative-estimation-and-its-application-in-kl-divergence-approximation-1406.7638</loc><lastmod>2014-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/direct-density-derivative-estimation-and-its-application-in-kl-divergence-approximation-1406.7638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/direct-density-derivative-estimation-and-its-application-in-kl-divergence-approximation-1406.7638"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-analysis-of-bayesian-optimisation-with-unknown-gaussian-process-hyper-parameters-1406.7758</loc><lastmod>2014-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-analysis-of-bayesian-optimisation-with-unknown-gaussian-process-hyper-parameters-1406.7758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-analysis-of-bayesian-optimisation-with-unknown-gaussian-process-hyper-parameters-1406.7758"/></url>
<url><loc>https://scifaro.com/en/abs/simple-connectome-inference-from-partial-correlation-statistics-in-calcium-imaging-1406.7865</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-connectome-inference-from-partial-correlation-statistics-in-calcium-imaging-1406.7865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-connectome-inference-from-partial-correlation-statistics-in-calcium-imaging-1406.7865"/></url>
<url><loc>https://scifaro.com/en/abs/mind-the-nuisance-gaussian-process-classification-using-privileged-noise-1407.0179</loc><lastmod>2014-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mind-the-nuisance-gaussian-process-classification-using-privileged-noise-1407.0179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mind-the-nuisance-gaussian-process-classification-using-privileged-noise-1407.0179"/></url>
<url><loc>https://scifaro.com/en/abs/support-consistency-of-direct-sparse-change-learning-in-markov-networks-1407.0581</loc><lastmod>2016-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/support-consistency-of-direct-sparse-change-learning-in-markov-networks-1407.0581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/support-consistency-of-direct-sparse-change-learning-in-markov-networks-1407.0581"/></url>
<url><loc>https://scifaro.com/en/abs/how-many-dissimilarity-kernel-self-organizing-map-variants-do-we-need-1407.0611</loc><lastmod>2014-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-many-dissimilarity-kernel-self-organizing-map-variants-do-we-need-1407.0611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-many-dissimilarity-kernel-self-organizing-map-variants-do-we-need-1407.0611"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-hierarchical-clustering-of-functional-data-1407.0612</loc><lastmod>2014-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-hierarchical-clustering-of-functional-data-1407.0612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-hierarchical-clustering-of-functional-data-1407.0612"/></url>
<url><loc>https://scifaro.com/en/abs/fast-algorithm-for-low-rank-matrix-recovery-in-poisson-noise-1407.0726</loc><lastmod>2014-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-algorithm-for-low-rank-matrix-recovery-in-poisson-noise-1407.0726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-algorithm-for-low-rank-matrix-recovery-in-poisson-noise-1407.0726"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-based-on-aggregation-of-indicators-1407.0880</loc><lastmod>2014-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-based-on-aggregation-of-indicators-1407.0880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-based-on-aggregation-of-indicators-1407.0880"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-higher-order-combinations-of-binary-features-1407.1176</loc><lastmod>2014-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-higher-order-combinations-of-binary-features-1407.1176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-higher-order-combinations-of-binary-features-1407.1176"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-latent-structures-via-information-inequalities-1407.2256</loc><lastmod>2014-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-latent-structures-via-information-inequalities-1407.2256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-latent-structures-via-information-inequalities-1407.2256"/></url>
<url><loc>https://scifaro.com/en/abs/counting-markov-blanket-structures-1407.2483</loc><lastmod>2014-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counting-markov-blanket-structures-1407.2483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counting-markov-blanket-structures-1407.2483"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-optimality-of-averaging-in-distributed-statistical-learning-1407.2724</loc><lastmod>2016-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-optimality-of-averaging-in-distributed-statistical-learning-1407.2724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-optimality-of-averaging-in-distributed-statistical-learning-1407.2724"/></url>
<url><loc>https://scifaro.com/en/abs/rate-optimal-detection-of-very-short-signal-segments-1407.2812</loc><lastmod>2014-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rate-optimal-detection-of-very-short-signal-segments-1407.2812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rate-optimal-detection-of-very-short-signal-segments-1407.2812"/></url>
<url><loc>https://scifaro.com/en/abs/an-eigenanalysis-of-data-centering-in-machine-learning-1407.2904</loc><lastmod>2014-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-eigenanalysis-of-data-centering-in-machine-learning-1407.2904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-eigenanalysis-of-data-centering-in-machine-learning-1407.2904"/></url>
<url><loc>https://scifaro.com/en/abs/altitude-training-strong-bounds-for-single-layer-dropout-1407.3289</loc><lastmod>2014-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/altitude-training-strong-bounds-for-single-layer-dropout-1407.3289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/altitude-training-strong-bounds-for-single-layer-dropout-1407.3289"/></url>
<url><loc>https://scifaro.com/en/abs/a-spectral-algorithm-for-inference-in-hidden-semi-markov-models-1407.3422</loc><lastmod>2016-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-spectral-algorithm-for-inference-in-hidden-semi-markov-models-1407.3422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-spectral-algorithm-for-inference-in-hidden-semi-markov-models-1407.3422"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-power-of-adaptivity-in-matrix-completion-and-approximation-1407.3619</loc><lastmod>2014-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-power-of-adaptivity-in-matrix-completion-and-approximation-1407.3619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-power-of-adaptivity-in-matrix-completion-and-approximation-1407.3619"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-logistic-principal-component-analysis-slpca-dimensional-reduction-in-streaming-multivariate-binary-state-system-1407.4430</loc><lastmod>2014-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-logistic-principal-component-analysis-slpca-dimensional-reduction-in-streaming-multivariate-binary-state-system-1407.4430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-logistic-principal-component-analysis-slpca-dimensional-reduction-in-streaming-multivariate-binary-state-system-1407.4430"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-complexity-of-best-arm-identification-in-multi-armed-bandit-models-1407.4443</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-complexity-of-best-arm-identification-in-multi-armed-bandit-models-1407.4443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-complexity-of-best-arm-identification-in-multi-armed-bandit-models-1407.4443"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-canonical-correlation-analysis-with-iterative-least-squares-1407.4508</loc><lastmod>2014-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-canonical-correlation-analysis-with-iterative-least-squares-1407.4508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-canonical-correlation-analysis-with-iterative-least-squares-1407.4508"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-quadratic-discriminant-analysis-and-community-bayes-1407.4543</loc><lastmod>2016-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-quadratic-discriminant-analysis-and-community-bayes-1407.4543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-quadratic-discriminant-analysis-and-community-bayes-1407.4543"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-nonparametric-crowdsourcing-1407.5017</loc><lastmod>2014-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-nonparametric-crowdsourcing-1407.5017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-nonparametric-crowdsourcing-1407.5017"/></url>
<url><loc>https://scifaro.com/en/abs/tight-convex-relaxations-for-sparse-matrix-factorization-1407.5158</loc><lastmod>2014-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-convex-relaxations-for-sparse-matrix-factorization-1407.5158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-convex-relaxations-for-sparse-matrix-factorization-1407.5158"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-support-recovery-with-tv-elastic-net-penalty-and-logistic-regression-an-application-to-structural-mri-1407.5602</loc><lastmod>2014-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-support-recovery-with-tv-elastic-net-penalty-and-logistic-regression-an-application-to-structural-mri-1407.5602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-support-recovery-with-tv-elastic-net-penalty-and-logistic-regression-an-application-to-structural-mri-1407.5602"/></url>
<url><loc>https://scifaro.com/en/abs/resolution-limit-free-and-local-non-negative-matrix-factorization-quality-functions-for-graph-clustering-1407.5924</loc><lastmod>2014-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resolution-limit-free-and-local-non-negative-matrix-factorization-quality-functions-for-graph-clustering-1407.5924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resolution-limit-free-and-local-non-negative-matrix-factorization-quality-functions-for-graph-clustering-1407.5924"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-changepoint-approach-for-online-community-detection-1407.5978</loc><lastmod>2015-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-changepoint-approach-for-online-community-detection-1407.5978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-changepoint-approach-for-online-community-detection-1407.5978"/></url>
<url><loc>https://scifaro.com/en/abs/stabilizing-sparse-cox-model-using-clinical-structures-in-electronic-medical-records-1407.6094</loc><lastmod>2014-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stabilizing-sparse-cox-model-using-clinical-structures-in-electronic-medical-records-1407.6094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stabilizing-sparse-cox-model-using-clinical-structures-in-electronic-medical-records-1407.6094"/></url>
<url><loc>https://scifaro.com/en/abs/subspace-learning-from-bits-1407.6288</loc><lastmod>2017-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subspace-learning-from-bits-1407.6288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subspace-learning-from-bits-1407.6288"/></url>
<url><loc>https://scifaro.com/en/abs/learning-structured-outputs-from-partial-labels-using-forest-ensemble-1407.6432</loc><lastmod>2014-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-structured-outputs-from-partial-labels-using-forest-ensemble-1407.6432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-structured-outputs-from-partial-labels-using-forest-ensemble-1407.6432"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-bayesian-nonparametric-modelling-of-structured-point-processes-1407.6949</loc><lastmod>2014-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-bayesian-nonparametric-modelling-of-structured-point-processes-1407.6949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-bayesian-nonparametric-modelling-of-structured-point-processes-1407.6949"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-random-forests-from-theory-to-practice-1407.7502</loc><lastmod>2015-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-random-forests-from-theory-to-practice-1407.7502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-random-forests-from-theory-to-practice-1407.7502"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-the-accuracies-of-multiple-classifiers-without-labeled-data-1407.7644</loc><lastmod>2014-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-the-accuracies-of-multiple-classifiers-without-labeled-data-1407.7644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-the-accuracies-of-multiple-classifiers-without-labeled-data-1407.7644"/></url>
<url><loc>https://scifaro.com/en/abs/nmf-with-sparse-regularizations-in-transformed-domains-1407.7691</loc><lastmod>2014-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nmf-with-sparse-regularizations-in-transformed-domains-1407.7691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nmf-with-sparse-regularizations-in-transformed-domains-1407.7691"/></url>
<url><loc>https://scifaro.com/en/abs/sure-screening-for-gaussian-graphical-models-1407.7819</loc><lastmod>2014-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sure-screening-for-gaussian-graphical-models-1407.7819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sure-screening-for-gaussian-graphical-models-1407.7819"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-probabilistic-matrix-factorization-a-user-frequency-analysis-1407.7840</loc><lastmod>2014-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-probabilistic-matrix-factorization-a-user-frequency-analysis-1407.7840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-probabilistic-matrix-factorization-a-user-frequency-analysis-1407.7840"/></url>
<url><loc>https://scifaro.com/en/abs/automated-machine-learning-on-big-data-using-stochastic-algorithm-tuning-1407.7969</loc><lastmod>2014-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-machine-learning-on-big-data-using-stochastic-algorithm-tuning-1407.7969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-machine-learning-on-big-data-using-stochastic-algorithm-tuning-1407.7969"/></url>
<url><loc>https://scifaro.com/en/abs/targeting-optimal-active-learning-via-example-quality-1407.8042</loc><lastmod>2014-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/targeting-optimal-active-learning-via-example-quality-1407.8042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/targeting-optimal-active-learning-via-example-quality-1407.8042"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-logistic-regression-for-detecting-multiple-snp-association-in-gwas-databases-1407.8067</loc><lastmod>2014-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-logistic-regression-for-detecting-multiple-snp-association-in-gwas-databases-1407.8067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-logistic-regression-for-detecting-multiple-snp-association-in-gwas-databases-1407.8067"/></url>
<url><loc>https://scifaro.com/en/abs/cumulative-restricted-boltzmann-machines-for-ordinal-matrix-data-analysis-1408.0047</loc><lastmod>2014-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cumulative-restricted-boltzmann-machines-for-ordinal-matrix-data-analysis-1408.0047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cumulative-restricted-boltzmann-machines-for-ordinal-matrix-data-analysis-1408.0047"/></url>
<url><loc>https://scifaro.com/en/abs/thurstonian-boltzmann-machines-learning-from-multiple-inequalities-1408.0055</loc><lastmod>2014-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thurstonian-boltzmann-machines-learning-from-multiple-inequalities-1408.0055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thurstonian-boltzmann-machines-learning-from-multiple-inequalities-1408.0055"/></url>
<url><loc>https://scifaro.com/en/abs/a-convergence-and-asymptotic-analysis-of-the-generalized-symmetric-fastica-algorithm-1408.0145</loc><lastmod>2015-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convergence-and-asymptotic-analysis-of-the-generalized-symmetric-fastica-algorithm-1408.0145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convergence-and-asymptotic-analysis-of-the-generalized-symmetric-fastica-algorithm-1408.0145"/></url>
<url><loc>https://scifaro.com/en/abs/functional-principal-component-analysis-and-randomized-sparse-clustering-algorithm-for-medical-image-analysis-1408.0204</loc><lastmod>2016-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-principal-component-analysis-and-randomized-sparse-clustering-algorithm-for-medical-image-analysis-1408.0204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-principal-component-analysis-and-randomized-sparse-clustering-algorithm-for-medical-image-analysis-1408.0204"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-estimation-approach-to-analyze-non-gaussian-data-generating-processes-with-latent-classes-1408.0337</loc><lastmod>2014-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-estimation-approach-to-analyze-non-gaussian-data-generating-processes-with-latent-classes-1408.0337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-estimation-approach-to-analyze-non-gaussian-data-generating-processes-with-latent-classes-1408.0337"/></url>
<url><loc>https://scifaro.com/en/abs/l0-sparse-inverse-covariance-estimation-1408.0850</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l0-sparse-inverse-covariance-estimation-1408.0850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l0-sparse-inverse-covariance-estimation-1408.0850"/></url>
<url><loc>https://scifaro.com/en/abs/determining-the-number-of-clusters-via-iterative-consensus-clustering-1408.0967</loc><lastmod>2014-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/determining-the-number-of-clusters-via-iterative-consensus-clustering-1408.0967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/determining-the-number-of-clusters-via-iterative-consensus-clustering-1408.0967"/></url>
<url><loc>https://scifaro.com/en/abs/a-flexible-iterative-framework-for-consensus-clustering-1408.0972</loc><lastmod>2014-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-flexible-iterative-framework-for-consensus-clustering-1408.0972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-flexible-iterative-framework-for-consensus-clustering-1408.0972"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-variate-restricted-boltzmann-machines-1408.1160</loc><lastmod>2014-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-variate-restricted-boltzmann-machines-1408.1160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-variate-restricted-boltzmann-machines-1408.1160"/></url>
<url><loc>https://scifaro.com/en/abs/mcmc-for-hierarchical-semi-markov-conditional-random-fields-1408.1162</loc><lastmod>2014-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcmc-for-hierarchical-semi-markov-conditional-random-fields-1408.1162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcmc-for-hierarchical-semi-markov-conditional-random-fields-1408.1162"/></url>
<url><loc>https://scifaro.com/en/abs/when-does-active-learning-work-1408.1319</loc><lastmod>2014-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-does-active-learning-work-1408.1319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-does-active-learning-work-1408.1319"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-generalization-of-the-c-bound-to-structured-output-ensemble-methods-1408.1336</loc><lastmod>2015-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-generalization-of-the-c-bound-to-structured-output-ensemble-methods-1408.1336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-generalization-of-the-c-bound-to-structured-output-ensemble-methods-1408.1336"/></url>
<url><loc>https://scifaro.com/en/abs/optimum-statistical-estimation-with-strategic-data-sources-1408.2539</loc><lastmod>2015-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimum-statistical-estimation-with-strategic-data-sources-1408.2539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimum-statistical-estimation-with-strategic-data-sources-1408.2539"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-non-iid-data-fast-rates-for-the-one-vs-all-multiclass-plug-in-classifiers-1408.2714</loc><lastmod>2015-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-non-iid-data-fast-rates-for-the-one-vs-all-multiclass-plug-in-classifiers-1408.2714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-non-iid-data-fast-rates-for-the-one-vs-all-multiclass-plug-in-classifiers-1408.2714"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-rate-of-bayesian-tensor-estimator-optimal-rate-without-restricted-strong-convexity-1408.3092</loc><lastmod>2014-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-rate-of-bayesian-tensor-estimator-optimal-rate-without-restricted-strong-convexity-1408.3092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-rate-of-bayesian-tensor-estimator-optimal-rate-without-restricted-strong-convexity-1408.3092"/></url>
<url><loc>https://scifaro.com/en/abs/exact-and-empirical-estimation-of-misclassification-probability-1408.3332</loc><lastmod>2014-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-and-empirical-estimation-of-misclassification-probability-1408.3332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-and-empirical-estimation-of-misclassification-probability-1408.3332"/></url>
<url><loc>https://scifaro.com/en/abs/beta-diffusion-trees-and-hierarchical-feature-allocations-1408.3378</loc><lastmod>2015-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beta-diffusion-trees-and-hierarchical-feature-allocations-1408.3378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beta-diffusion-trees-and-hierarchical-feature-allocations-1408.3378"/></url>
<url><loc>https://scifaro.com/en/abs/relax-no-need-to-round-integrality-of-clustering-formulations-1408.4045</loc><lastmod>2015-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relax-no-need-to-round-integrality-of-clustering-formulations-1408.4045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relax-no-need-to-round-integrality-of-clustering-formulations-1408.4045"/></url>
<url><loc>https://scifaro.com/en/abs/bet-bayesian-ensemble-trees-for-clustering-and-prediction-in-heterogeneous-data-1408.4140</loc><lastmod>2014-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bet-bayesian-ensemble-trees-for-clustering-and-prediction-in-heterogeneous-data-1408.4140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bet-bayesian-ensemble-trees-for-clustering-and-prediction-in-heterogeneous-data-1408.4140"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-fingerprints-1408.4966</loc><lastmod>2015-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-fingerprints-1408.4966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-fingerprints-1408.4966"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-sample-complexity-of-subspace-learning-1408.5032</loc><lastmod>2014-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-subspace-learning-1408.5032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-subspace-learning-1408.5032"/></url>
<url><loc>https://scifaro.com/en/abs/nonconvex-statistical-optimization-minimax-optimal-sparse-pca-in-polynomial-time-1408.5352</loc><lastmod>2014-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonconvex-statistical-optimization-minimax-optimal-sparse-pca-in-polynomial-time-1408.5352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonconvex-statistical-optimization-minimax-optimal-sparse-pca-in-polynomial-time-1408.5352"/></url>
<url><loc>https://scifaro.com/en/abs/a-wild-bootstrap-for-degenerate-kernel-tests-1408.5404</loc><lastmod>2016-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-wild-bootstrap-for-degenerate-kernel-tests-1408.5404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-wild-bootstrap-for-degenerate-kernel-tests-1408.5404"/></url>
<url><loc>https://scifaro.com/en/abs/a-case-study-in-text-mining-interpreting-twitter-data-from-world-cup-tweets-1408.5427</loc><lastmod>2014-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-case-study-in-text-mining-interpreting-twitter-data-from-world-cup-tweets-1408.5427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-case-study-in-text-mining-interpreting-twitter-data-from-world-cup-tweets-1408.5427"/></url>
<url><loc>https://scifaro.com/en/abs/to-lie-or-not-to-lie-in-a-subspace-1408.5544</loc><lastmod>2014-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/to-lie-or-not-to-lie-in-a-subspace-1408.5544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/to-lie-or-not-to-lie-in-a-subspace-1408.5544"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-accuracy-of-bayesian-estimation-for-a-single-latent-variable-1408.5661</loc><lastmod>2015-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-accuracy-of-bayesian-estimation-for-a-single-latent-variable-1408.5661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-accuracy-of-bayesian-estimation-for-a-single-latent-variable-1408.5661"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-framework-for-fast-stagewise-algorithms-1408.5801</loc><lastmod>2015-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-framework-for-fast-stagewise-algorithms-1408.5801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-framework-for-fast-stagewise-algorithms-1408.5801"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-based-information-criterion-1408.5810</loc><lastmod>2014-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-based-information-criterion-1408.5810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-based-information-criterion-1408.5810"/></url>
<url><loc>https://scifaro.com/en/abs/pmce-efficient-inference-of-expressive-models-of-cancer-evolution-with-high-prognostic-power-1408.6032</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pmce-efficient-inference-of-expressive-models-of-cancer-evolution-with-high-prognostic-power-1408.6032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pmce-efficient-inference-of-expressive-models-of-cancer-evolution-with-high-prognostic-power-1408.6032"/></url>
<url><loc>https://scifaro.com/en/abs/a-methodology-for-the-diagnostic-of-aircraft-engine-based-on-indicators-aggregation-1408.6214</loc><lastmod>2014-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-methodology-for-the-diagnostic-of-aircraft-engine-based-on-indicators-aggregation-1408.6214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-methodology-for-the-diagnostic-of-aircraft-engine-based-on-indicators-aggregation-1408.6214"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-generalized-eigenvalue-problem-via-smooth-optimization-1408.6686</loc><lastmod>2015-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-generalized-eigenvalue-problem-via-smooth-optimization-1408.6686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-generalized-eigenvalue-problem-via-smooth-optimization-1408.6686"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-of-the-fixed-points-and-spurious-solutions-of-the-fastica-algorithm-1408.6693</loc><lastmod>2014-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-of-the-fixed-points-and-spurious-solutions-of-the-fastica-algorithm-1408.6693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-of-the-fixed-points-and-spurious-solutions-of-the-fastica-algorithm-1408.6693"/></url>
<url><loc>https://scifaro.com/en/abs/tracking-dynamic-point-processes-on-networks-1409.0031</loc><lastmod>2016-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tracking-dynamic-point-processes-on-networks-1409.0031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tracking-dynamic-point-processes-on-networks-1409.0031"/></url>
<url><loc>https://scifaro.com/en/abs/consistency-and-fluctuations-for-stochastic-gradient-langevin-dynamics-1409.0578</loc><lastmod>2015-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistency-and-fluctuations-for-stochastic-gradient-langevin-dynamics-1409.0578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistency-and-fluctuations-for-stochastic-gradient-langevin-dynamics-1409.0578"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-equivalence-between-deep-nade-and-generative-stochastic-networks-1409.0585</loc><lastmod>2014-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-equivalence-between-deep-nade-and-generative-stochastic-networks-1409.0585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-equivalence-between-deep-nade-and-generative-stochastic-networks-1409.0585"/></url>
<url><loc>https://scifaro.com/en/abs/multi-rank-sparse-hierarchical-clustering-1409.0745</loc><lastmod>2017-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-rank-sparse-hierarchical-clustering-1409.0745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-rank-sparse-hierarchical-clustering-1409.0745"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-in-conditional-random-fields-for-map-matching-of-gps-trajectories-1409.0791</loc><lastmod>2014-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-in-conditional-random-fields-for-map-matching-of-gps-trajectories-1409.0791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-in-conditional-random-fields-for-map-matching-of-gps-trajectories-1409.0791"/></url>
<url><loc>https://scifaro.com/en/abs/feature-engineering-for-map-matching-of-low-sampling-rate-gps-trajectories-in-road-network-1409.0797</loc><lastmod>2014-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-engineering-for-map-matching-of-low-sampling-rate-gps-trajectories-in-road-network-1409.0797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-engineering-for-map-matching-of-low-sampling-rate-gps-trajectories-in-road-network-1409.0797"/></url>
<url><loc>https://scifaro.com/en/abs/breakdown-point-of-robust-support-vector-machine-1409.0934</loc><lastmod>2014-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breakdown-point-of-robust-support-vector-machine-1409.0934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breakdown-point-of-robust-support-vector-machine-1409.0934"/></url>
<url><loc>https://scifaro.com/en/abs/high-performance-kernel-machines-with-implicit-distributed-optimization-and-randomization-1409.0940</loc><lastmod>2015-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-performance-kernel-machines-with-implicit-distributed-optimization-and-randomization-1409.0940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-performance-kernel-machines-with-implicit-distributed-optimization-and-randomization-1409.0940"/></url>
<url><loc>https://scifaro.com/en/abs/marginal-structured-svm-with-hidden-variables-1409.1320</loc><lastmod>2014-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marginal-structured-svm-with-hidden-variables-1409.1320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marginal-structured-svm-with-hidden-variables-1409.1320"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-tensor-product-approximation-of-functions-1409.1403</loc><lastmod>2014-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-tensor-product-approximation-of-functions-1409.1403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-tensor-product-approximation-of-functions-1409.1403"/></url>
<url><loc>https://scifaro.com/en/abs/a-reduction-of-the-elastic-net-to-support-vector-machines-with-an-application-to-gpu-computing-1409.1976</loc><lastmod>2014-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reduction-of-the-elastic-net-to-support-vector-machines-with-an-application-to-gpu-computing-1409.1976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reduction-of-the-elastic-net-to-support-vector-machines-with-an-application-to-gpu-computing-1409.1976"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-for-uncertainty-on-the-inputs-of-gaussian-process-models-1409.2287</loc><lastmod>2014-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-for-uncertainty-on-the-inputs-of-gaussian-process-models-1409.2287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-for-uncertainty-on-the-inputs-of-gaussian-process-models-1409.2287"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-additive-model-using-symmetric-nonnegative-definite-smoothers-1409.2552</loc><lastmod>2014-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-additive-model-using-symmetric-nonnegative-definite-smoothers-1409.2552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-additive-model-using-symmetric-nonnegative-definite-smoothers-1409.2552"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-classification-cascades-for-optimizing-discovery-significance-in-the-higgsml-challenge-1409.2655</loc><lastmod>2015-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-classification-cascades-for-optimizing-discovery-significance-in-the-higgsml-challenge-1409.2655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-classification-cascades-for-optimizing-discovery-significance-in-the-higgsml-challenge-1409.2655"/></url>
<url><loc>https://scifaro.com/en/abs/context-specific-independence-in-graphical-log-linear-models-1409.2713</loc><lastmod>2015-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-specific-independence-in-graphical-log-linear-models-1409.2713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-specific-independence-in-graphical-log-linear-models-1409.2713"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-bayesian-modelling-of-paired-symbols-1409.2824</loc><lastmod>2014-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-bayesian-modelling-of-paired-symbols-1409.2824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-bayesian-modelling-of-paired-symbols-1409.2824"/></url>
<url><loc>https://scifaro.com/en/abs/topic-modeling-of-hierarchical-corpora-1409.3518</loc><lastmod>2015-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topic-modeling-of-hierarchical-corpora-1409.3518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topic-modeling-of-hierarchical-corpora-1409.3518"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-distributed-block-coordinate-descent-methods-based-on-pairwise-comparison-oracle-1409.3912</loc><lastmod>2014-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-distributed-block-coordinate-descent-methods-based-on-pairwise-comparison-oracle-1409.3912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-distributed-block-coordinate-descent-methods-based-on-pairwise-comparison-oracle-1409.3912"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-estimation-with-strongly-correlated-variables-using-ordered-weighted-l1-regularization-1409.4005</loc><lastmod>2014-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-estimation-with-strongly-correlated-variables-using-ordered-weighted-l1-regularization-1409.4005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-estimation-with-strongly-correlated-variables-using-ordered-weighted-l1-regularization-1409.4005"/></url>
<url><loc>https://scifaro.com/en/abs/raiders-of-the-lost-architecture-kernels-for-bayesian-optimization-in-conditional-parameter-spaces-1409.4011</loc><lastmod>2014-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/raiders-of-the-lost-architecture-kernels-for-bayesian-optimization-in-conditional-parameter-spaces-1409.4011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/raiders-of-the-lost-architecture-kernels-for-bayesian-optimization-in-conditional-parameter-spaces-1409.4011"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-approach-in-machine-learning-1409.4044</loc><lastmod>2014-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-approach-in-machine-learning-1409.4044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-approach-in-machine-learning-1409.4044"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-network-metrics-variational-bayesian-network-centrality-1409.4141</loc><lastmod>2015-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-network-metrics-variational-bayesian-network-centrality-1409.4141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-network-metrics-variational-bayesian-network-centrality-1409.4141"/></url>
<url><loc>https://scifaro.com/en/abs/self-dictionary-sparse-regression-for-hyperspectral-unmixing-greedy-pursuit-and-pure-pixel-search-are-related-1409.4320</loc><lastmod>2015-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-dictionary-sparse-regression-for-hyperspectral-unmixing-greedy-pursuit-and-pure-pixel-search-are-related-1409.4320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-dictionary-sparse-regression-for-hyperspectral-unmixing-greedy-pursuit-and-pure-pixel-search-are-related-1409.4320"/></url>
<url><loc>https://scifaro.com/en/abs/the-randomized-causation-coefficient-1409.4366</loc><lastmod>2014-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-randomized-causation-coefficient-1409.4366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-randomized-causation-coefficient-1409.4366"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-comparison-of-classification-algorithms-1409.4566</loc><lastmod>2014-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-comparison-of-classification-algorithms-1409.4566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-comparison-of-classification-algorithms-1409.4566"/></url>
<url><loc>https://scifaro.com/en/abs/non-linear-causal-inference-using-gaussianity-measures-1409.4573</loc><lastmod>2016-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-linear-causal-inference-using-gaussianity-measures-1409.4573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-linear-causal-inference-using-gaussianity-measures-1409.4573"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-based-on-indicators-aggregation-1409.4747</loc><lastmod>2016-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-based-on-indicators-aggregation-1409.4747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-based-on-indicators-aggregation-1409.4747"/></url>
<url><loc>https://scifaro.com/en/abs/distance-shrinkage-and-euclidean-embedding-via-regularized-kernel-estimation-1409.5009</loc><lastmod>2014-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distance-shrinkage-and-euclidean-embedding-via-regularized-kernel-estimation-1409.5009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distance-shrinkage-and-euclidean-embedding-via-regularized-kernel-estimation-1409.5009"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-kernel-sum-rule-kernel-bayesian-inference-with-probabilistic-models-1409.5178</loc><lastmod>2019-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-kernel-sum-rule-kernel-bayesian-inference-with-probabilistic-models-1409.5178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-kernel-sum-rule-kernel-bayesian-inference-with-probabilistic-models-1409.5178"/></url>
<url><loc>https://scifaro.com/en/abs/deeply-supervised-nets-1409.5185</loc><lastmod>2017-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeply-supervised-nets-1409.5185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeply-supervised-nets-1409.5185"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-robust-learning-1409.5937</loc><lastmod>2015-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-robust-learning-1409.5937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-robust-learning-1409.5937"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-sparse-dictionaries-for-online-learning-with-kernels-1409.6045</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-sparse-dictionaries-for-online-learning-with-kernels-1409.6045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-sparse-dictionaries-for-online-learning-with-kernels-1409.6045"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-errors-of-online-sparsification-criteria-1409.6046</loc><lastmod>2015-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-errors-of-online-sparsification-criteria-1409.6046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-errors-of-online-sparsification-criteria-1409.6046"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-and-distributed-block-coordinate-frank-wolfe-algorithms-1409.6086</loc><lastmod>2016-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-and-distributed-block-coordinate-frank-wolfe-algorithms-1409.6086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-and-distributed-block-coordinate-frank-wolfe-algorithms-1409.6086"/></url>
<url><loc>https://scifaro.com/en/abs/expectation-propagation-1409.6179</loc><lastmod>2014-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expectation-propagation-1409.6179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expectation-propagation-1409.6179"/></url>
<url><loc>https://scifaro.com/en/abs/deconvolution-of-high-dimensional-mixtures-via-boosting-with-application-to-diffusion-weighted-mri-of-human-brain-1409.7134</loc><lastmod>2014-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deconvolution-of-high-dimensional-mixtures-via-boosting-with-application-to-diffusion-weighted-mri-of-human-brain-1409.7134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deconvolution-of-high-dimensional-mixtures-via-boosting-with-application-to-diffusion-weighted-mri-of-human-brain-1409.7134"/></url>
<url><loc>https://scifaro.com/en/abs/mist-l0-sparse-linear-regression-with-momentum-1409.7193</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mist-l0-sparse-linear-regression-with-momentum-1409.7193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mist-l0-sparse-linear-regression-with-momentum-1409.7193"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-domain-adaptation-by-backpropagation-1409.7495</loc><lastmod>2015-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-by-backpropagation-1409.7495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-by-backpropagation-1409.7495"/></url>
<url><loc>https://scifaro.com/en/abs/the-advantage-of-cross-entropy-over-entropy-in-iterative-information-gathering-1409.7552</loc><lastmod>2015-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-advantage-of-cross-entropy-over-entropy-in-iterative-information-gathering-1409.7552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-advantage-of-cross-entropy-over-entropy-in-iterative-information-gathering-1409.7552"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-low-complexity-sequential-inference-for-dirichlet-process-mixture-models-1409.8185</loc><lastmod>2015-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-low-complexity-sequential-inference-for-dirichlet-process-mixture-models-1409.8185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-low-complexity-sequential-inference-for-dirichlet-process-mixture-models-1409.8185"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-bump-hunting-using-principal-components-1409.8630</loc><lastmod>2014-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-bump-hunting-using-principal-components-1409.8630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-bump-hunting-using-principal-components-1409.8630"/></url>
<url><loc>https://scifaro.com/en/abs/riemannian-multi-manifold-modeling-1410.0095</loc><lastmod>2014-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/riemannian-multi-manifold-modeling-1410.0095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/riemannian-multi-manifold-modeling-1410.0095"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adaptation-of-weighted-majority-votes-via-perturbed-variation-based-self-labeling-1410.0334</loc><lastmod>2014-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adaptation-of-weighted-majority-votes-via-perturbed-variation-based-self-labeling-1410.0334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adaptation-of-weighted-majority-votes-via-perturbed-variation-based-self-labeling-1410.0334"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-low-rank-models-1410.0342</loc><lastmod>2015-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-low-rank-models-1410.0342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-low-rank-models-1410.0342"/></url>
<url><loc>https://scifaro.com/en/abs/linear-state-space-model-with-time-varying-dynamics-1410.0555</loc><lastmod>2014-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-state-space-model-with-time-varying-dynamics-1410.0555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-state-space-model-with-time-varying-dynamics-1410.0555"/></url>
<url><loc>https://scifaro.com/en/abs/mapping-energy-landscapes-of-non-convex-learning-problems-1410.0576</loc><lastmod>2014-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mapping-energy-landscapes-of-non-convex-learning-problems-1410.0576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mapping-energy-landscapes-of-non-convex-learning-problems-1410.0576"/></url>
<url><loc>https://scifaro.com/en/abs/deep-directed-generative-autoencoders-1410.0630</loc><lastmod>2014-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-directed-generative-autoencoders-1410.0630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-directed-generative-autoencoders-1410.0630"/></url>
<url><loc>https://scifaro.com/en/abs/deterministic-conditions-for-subspace-identifiability-from-incomplete-sampling-1410.0633</loc><lastmod>2016-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deterministic-conditions-for-subspace-identifiability-from-incomplete-sampling-1410.0633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deterministic-conditions-for-subspace-identifiability-from-incomplete-sampling-1410.0633"/></url>
<url><loc>https://scifaro.com/en/abs/a-lower-bound-for-the-optimization-of-finite-sums-1410.0723</loc><lastmod>2015-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-lower-bound-for-the-optimization-of-finite-sums-1410.0723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-lower-bound-for-the-optimization-of-finite-sums-1410.0723"/></url>
<url><loc>https://scifaro.com/en/abs/individualized-rank-aggregation-using-nuclear-norm-regularization-1410.0860</loc><lastmod>2014-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/individualized-rank-aggregation-using-nuclear-norm-regularization-1410.0860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/individualized-rank-aggregation-using-nuclear-norm-regularization-1410.0860"/></url>
<url><loc>https://scifaro.com/en/abs/bayespy-variational-bayesian-inference-in-python-1410.0870</loc><lastmod>2015-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayespy-variational-bayesian-inference-in-python-1410.0870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayespy-variational-bayesian-inference-in-python-1410.0870"/></url>
<url><loc>https://scifaro.com/en/abs/probit-normal-correlated-topic-models-1410.0908</loc><lastmod>2014-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probit-normal-correlated-topic-models-1410.0908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probit-normal-correlated-topic-models-1410.0908"/></url>
<url><loc>https://scifaro.com/en/abs/gamma-processes-stick-breaking-and-variational-inference-1410.1068</loc><lastmod>2017-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gamma-processes-stick-breaking-and-variational-inference-1410.1068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gamma-processes-stick-breaking-and-variational-inference-1410.1068"/></url>
<url><loc>https://scifaro.com/en/abs/learning-topology-and-dynamics-of-large-recurrent-neural-networks-1410.1174</loc><lastmod>2015-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-topology-and-dynamics-of-large-recurrent-neural-networks-1410.1174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-topology-and-dynamics-of-large-recurrent-neural-networks-1410.1174"/></url>
<url><loc>https://scifaro.com/en/abs/graphical-lasso-based-model-selection-for-time-series-1410.1184</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphical-lasso-based-model-selection-for-time-series-1410.1184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphical-lasso-based-model-selection-for-time-series-1410.1184"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayesian-auc-classification-and-scoring-1410.1771</loc><lastmod>2014-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayesian-auc-classification-and-scoring-1410.1771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayesian-auc-classification-and-scoring-1410.1771"/></url>
<url><loc>https://scifaro.com/en/abs/bilbowa-fast-bilingual-distributed-representations-without-word-alignments-1410.2455</loc><lastmod>2016-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bilbowa-fast-bilingual-distributed-representations-without-word-alignments-1410.2455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bilbowa-fast-bilingual-distributed-representations-without-word-alignments-1410.2455"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-estimation-information-loss-and-exponential-families-1410.2653</loc><lastmod>2014-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-estimation-information-loss-and-exponential-families-1410.2653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-estimation-information-loss-and-exponential-families-1410.2653"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-models-for-neural-population-dynamics-in-the-presence-of-non-stationarity-1410.3111</loc><lastmod>2014-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-models-for-neural-population-dynamics-in-the-presence-of-non-stationarity-1410.3111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-models-for-neural-population-dynamics-in-the-presence-of-non-stationarity-1410.3111"/></url>
<url><loc>https://scifaro.com/en/abs/learning-without-concentration-for-general-loss-functions-1410.3192</loc><lastmod>2014-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-without-concentration-for-general-loss-functions-1410.3192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-without-concentration-for-general-loss-functions-1410.3192"/></url>
<url><loc>https://scifaro.com/en/abs/markov-random-fields-and-mass-spectra-discrimination-1410.3234</loc><lastmod>2014-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-random-fields-and-mass-spectra-discrimination-1410.3234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-random-fields-and-mass-spectra-discrimination-1410.3234"/></url>
<url><loc>https://scifaro.com/en/abs/propagation-kernels-1410.3314</loc><lastmod>2014-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/propagation-kernels-1410.3314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/propagation-kernels-1410.3314"/></url>
<url><loc>https://scifaro.com/en/abs/fast-multilevel-support-vector-machines-1410.3348</loc><lastmod>2014-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-multilevel-support-vector-machines-1410.3348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-multilevel-support-vector-machines-1410.3348"/></url>
<url><loc>https://scifaro.com/en/abs/convex-modeling-of-interactions-with-strong-heredity-1410.3517</loc><lastmod>2019-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-modeling-of-interactions-with-strong-heredity-1410.3517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-modeling-of-interactions-with-strong-heredity-1410.3517"/></url>
<url><loc>https://scifaro.com/en/abs/detection-of-cheating-by-decimation-algorithm-1410.3596</loc><lastmod>2015-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detection-of-cheating-by-decimation-algorithm-1410.3596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detection-of-cheating-by-decimation-algorithm-1410.3596"/></url>
<url><loc>https://scifaro.com/en/abs/an-exact-mapping-between-the-variational-renormalization-group-and-deep-learning-1410.3831</loc><lastmod>2014-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-exact-mapping-between-the-variational-renormalization-group-and-deep-learning-1410.3831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-exact-mapping-between-the-variational-renormalization-group-and-deep-learning-1410.3831"/></url>
<url><loc>https://scifaro.com/en/abs/complexity-issues-and-randomization-strategies-in-frank-wolfe-algorithms-for-machine-learning-1410.4062</loc><lastmod>2015-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complexity-issues-and-randomization-strategies-in-frank-wolfe-algorithms-for-machine-learning-1410.4062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complexity-issues-and-randomization-strategies-in-frank-wolfe-algorithms-for-machine-learning-1410.4062"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-spearman-s-rho-for-aggregating-ranks-using-copulas-1410.4391</loc><lastmod>2016-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-spearman-s-rho-for-aggregating-ranks-using-copulas-1410.4391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-spearman-s-rho-for-aggregating-ranks-using-copulas-1410.4391"/></url>
<url><loc>https://scifaro.com/en/abs/graph-sparse-lda-a-topic-model-with-structured-sparsity-1410.4510</loc><lastmod>2014-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-sparse-lda-a-topic-model-with-structured-sparsity-1410.4510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-sparse-lda-a-topic-model-with-structured-sparsity-1410.4510"/></url>
<url><loc>https://scifaro.com/en/abs/a-hierarchical-multi-output-nearest-neighbor-model-for-multi-output-dependence-learning-1410.4777</loc><lastmod>2014-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hierarchical-multi-output-nearest-neighbor-model-for-multi-output-dependence-learning-1410.4777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hierarchical-multi-output-nearest-neighbor-model-for-multi-output-dependence-learning-1410.4777"/></url>
<url><loc>https://scifaro.com/en/abs/improved-asymmetric-locality-sensitive-hashing-alsh-for-maximum-inner-product-search-mips-1410.5410</loc><lastmod>2014-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-asymmetric-locality-sensitive-hashing-alsh-for-maximum-inner-product-search-mips-1410.5410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-asymmetric-locality-sensitive-hashing-alsh-for-maximum-inner-product-search-mips-1410.5410"/></url>
<url><loc>https://scifaro.com/en/abs/on-symmetric-and-asymmetric-lshs-for-inner-product-search-1410.5518</loc><lastmod>2015-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-symmetric-and-asymmetric-lshs-for-inner-product-search-1410.5518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-symmetric-and-asymmetric-lshs-for-inner-product-search-1410.5518"/></url>
<url><loc>https://scifaro.com/en/abs/variational-reformulation-of-bayesian-inverse-problems-1410.5522</loc><lastmod>2014-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-reformulation-of-bayesian-inverse-problems-1410.5522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-reformulation-of-bayesian-inverse-problems-1410.5522"/></url>
<url><loc>https://scifaro.com/en/abs/regularizing-recurrent-networks-on-injected-noise-and-norm-based-methods-1410.5684</loc><lastmod>2014-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularizing-recurrent-networks-on-injected-noise-and-norm-based-methods-1410.5684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularizing-recurrent-networks-on-injected-noise-and-norm-based-methods-1410.5684"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-compression-dictionary-distance-as-universal-similarity-measure-1410.5792</loc><lastmod>2014-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-compression-dictionary-distance-as-universal-similarity-measure-1410.5792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-compression-dictionary-distance-as-universal-similarity-measure-1410.5792"/></url>
<url><loc>https://scifaro.com/en/abs/active-regression-by-stratification-1410.5920</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-regression-by-stratification-1410.5920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-regression-by-stratification-1410.5920"/></url>
<url><loc>https://scifaro.com/en/abs/online-energy-price-matrix-factorization-for-power-grid-topology-tracking-1410.6095</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-energy-price-matrix-factorization-for-power-grid-topology-tracking-1410.6095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-energy-price-matrix-factorization-for-power-grid-topology-tracking-1410.6095"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-stochastic-algorithmic-framework-for-minimizing-expensive-black-box-objective-functions-based-on-surrogate-models-and-sensitivity-analysis-1410.6271</loc><lastmod>2014-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-stochastic-algorithmic-framework-for-minimizing-expensive-black-box-objective-functions-based-on-surrogate-models-and-sensitivity-analysis-1410.6271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-stochastic-algorithmic-framework-for-minimizing-expensive-black-box-objective-functions-based-on-surrogate-models-and-sensitivity-analysis-1410.6271"/></url>
<url><loc>https://scifaro.com/en/abs/model-selection-for-topic-models-via-spectral-decomposition-1410.6466</loc><lastmod>2015-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-selection-for-topic-models-via-spectral-decomposition-1410.6466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-selection-for-topic-models-via-spectral-decomposition-1410.6466"/></url>
<url><loc>https://scifaro.com/en/abs/median-selection-subset-aggregation-for-parallel-inference-1410.6604</loc><lastmod>2014-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/median-selection-subset-aggregation-for-parallel-inference-1410.6604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/median-selection-subset-aggregation-for-parallel-inference-1410.6604"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-blockmodeling-for-online-advertising-1410.6714</loc><lastmod>2014-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-blockmodeling-for-online-advertising-1410.6714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-blockmodeling-for-online-advertising-1410.6714"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-manifold-learning-the-locally-linear-latent-variable-model-ll-lvm-1410.6791</loc><lastmod>2015-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-manifold-learning-the-locally-linear-latent-variable-model-ll-lvm-1410.6791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-manifold-learning-the-locally-linear-latent-variable-model-ll-lvm-1410.6791"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-nonparametric-bayesian-inference-on-point-processes-with-gaussian-processes-1410.6834</loc><lastmod>2015-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-nonparametric-bayesian-inference-on-point-processes-with-gaussian-processes-1410.6834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-nonparametric-bayesian-inference-on-point-processes-with-gaussian-processes-1410.6834"/></url>
<url><loc>https://scifaro.com/en/abs/covariance-matrices-for-mean-field-variational-bayes-1410.6853</loc><lastmod>2014-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covariance-matrices-for-mean-field-variational-bayes-1410.6853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covariance-matrices-for-mean-field-variational-bayes-1410.6853"/></url>
<url><loc>https://scifaro.com/en/abs/screening-rules-for-overlapping-group-lasso-1410.6880</loc><lastmod>2014-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/screening-rules-for-overlapping-group-lasso-1410.6880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/screening-rules-for-overlapping-group-lasso-1410.6880"/></url>
<url><loc>https://scifaro.com/en/abs/an-aggregation-method-for-sparse-logistic-regression-1410.6959</loc><lastmod>2015-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-aggregation-method-for-sparse-logistic-regression-1410.6959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-aggregation-method-for-sparse-logistic-regression-1410.6959"/></url>
<url><loc>https://scifaro.com/en/abs/fully-automated-myocardial-infarction-classification-using-ordinary-differential-equations-1410.6984</loc><lastmod>2014-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-automated-myocardial-infarction-classification-using-ordinary-differential-equations-1410.6984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-automated-myocardial-infarction-classification-using-ordinary-differential-equations-1410.6984"/></url>
<url><loc>https://scifaro.com/en/abs/local-rademacher-complexity-for-multi-label-learning-1410.6990</loc><lastmod>2014-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-rademacher-complexity-for-multi-label-learning-1410.6990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-rademacher-complexity-for-multi-label-learning-1410.6990"/></url>
<url><loc>https://scifaro.com/en/abs/a-provable-svd-based-algorithm-for-learning-topics-in-dominant-admixture-corpus-1410.6991</loc><lastmod>2014-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-provable-svd-based-algorithm-for-learning-topics-in-dominant-admixture-corpus-1410.6991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-provable-svd-based-algorithm-for-learning-topics-in-dominant-admixture-corpus-1410.6991"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-statistical-method-based-on-dynamic-models-for-classification-1410.7029</loc><lastmod>2014-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-statistical-method-based-on-dynamic-models-for-classification-1410.7029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-statistical-method-based-on-dynamic-models-for-classification-1410.7029"/></url>
<url><loc>https://scifaro.com/en/abs/concavity-of-reweighted-kikuchi-approximation-1410.7098</loc><lastmod>2014-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concavity-of-reweighted-kikuchi-approximation-1410.7098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concavity-of-reweighted-kikuchi-approximation-1410.7098"/></url>
<url><loc>https://scifaro.com/en/abs/a-greedy-homotopy-method-for-regression-with-nonconvex-constraints-1410.7241</loc><lastmod>2014-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-greedy-homotopy-method-for-regression-with-nonconvex-constraints-1410.7241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-greedy-homotopy-method-for-regression-with-nonconvex-constraints-1410.7241"/></url>
<url><loc>https://scifaro.com/en/abs/topology-adaptive-graph-estimation-in-high-dimensions-1410.7279</loc><lastmod>2014-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topology-adaptive-graph-estimation-in-high-dimensions-1410.7279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topology-adaptive-graph-estimation-in-high-dimensions-1410.7279"/></url>
<url><loc>https://scifaro.com/en/abs/sensitivity-analysis-for-computationally-expensive-models-using-optimization-and-objective-oriented-surrogate-approximations-1410.7291</loc><lastmod>2015-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sensitivity-analysis-for-computationally-expensive-models-using-optimization-and-objective-oriented-surrogate-approximations-1410.7291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sensitivity-analysis-for-computationally-expensive-models-using-optimization-and-objective-oriented-surrogate-approximations-1410.7291"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-output-regression-with-latent-noise-1410.7365</loc><lastmod>2016-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-output-regression-with-latent-noise-1410.7365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-output-regression-with-latent-noise-1410.7365"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-statistic-framework-for-genome-based-disease-risk-prediction-1410.7371</loc><lastmod>2014-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-statistic-framework-for-genome-based-disease-risk-prediction-1410.7371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-statistic-framework-for-genome-based-disease-risk-prediction-1410.7371"/></url>
<url><loc>https://scifaro.com/en/abs/a-ternary-non-commutative-latent-factor-model-for-scalable-three-way-real-tensor-completion-1410.7383</loc><lastmod>2015-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-ternary-non-commutative-latent-factor-model-for-scalable-three-way-real-tensor-completion-1410.7383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-ternary-non-commutative-latent-factor-model-for-scalable-three-way-real-tensor-completion-1410.7383"/></url>
<url><loc>https://scifaro.com/en/abs/maximally-informative-hierarchical-representations-of-high-dimensional-data-1410.7404</loc><lastmod>2015-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximally-informative-hierarchical-representations-of-high-dimensional-data-1410.7404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximally-informative-hierarchical-representations-of-high-dimensional-data-1410.7404"/></url>
<url><loc>https://scifaro.com/en/abs/fast-function-to-function-regression-1410.7414</loc><lastmod>2014-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-function-to-function-regression-1410.7414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-function-to-function-regression-1410.7414"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-dynamical-models-from-image-pixels-1410.7550</loc><lastmod>2014-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-dynamical-models-from-image-pixels-1410.7550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-dynamical-models-from-image-pixels-1410.7550"/></url>
<url><loc>https://scifaro.com/en/abs/trend-filtering-on-graphs-1410.7690</loc><lastmod>2016-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trend-filtering-on-graphs-1410.7690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trend-filtering-on-graphs-1410.7690"/></url>
<url><loc>https://scifaro.com/en/abs/two-new-approaches-to-compressed-sensing-exhibiting-both-robust-sparse-recovery-and-the-grouping-effect-1410.8229</loc><lastmod>2017-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-new-approaches-to-compressed-sensing-exhibiting-both-robust-sparse-recovery-and-the-grouping-effect-1410.8229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-new-approaches-to-compressed-sensing-exhibiting-both-robust-sparse-recovery-and-the-grouping-effect-1410.8229"/></url>
<url><loc>https://scifaro.com/en/abs/on-estimating-l-2-2-divergence-1410.8372</loc><lastmod>2014-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-estimating-l-2-2-divergence-1410.8372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-estimating-l-2-2-divergence-1410.8372"/></url>
<url><loc>https://scifaro.com/en/abs/partition-wise-linear-models-1410.8675</loc><lastmod>2014-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partition-wise-linear-models-1410.8675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partition-wise-linear-models-1410.8675"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-subspace-clustering-1410.8864</loc><lastmod>2014-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-subspace-clustering-1410.8864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-subspace-clustering-1410.8864"/></url>
<url><loc>https://scifaro.com/en/abs/learning-mixed-multinomial-logit-model-from-ordinal-data-1411.0073</loc><lastmod>2014-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-mixed-multinomial-logit-model-from-ordinal-data-1411.0073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-mixed-multinomial-logit-model-from-ordinal-data-1411.0073"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-for-gaussian-process-modulated-poisson-processes-1411.0254</loc><lastmod>2015-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-for-gaussian-process-modulated-poisson-processes-1411.0254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-for-gaussian-process-modulated-poisson-processes-1411.0254"/></url>
<url><loc>https://scifaro.com/en/abs/noisy-matrix-completion-under-sparse-factor-models-1411.0282</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisy-matrix-completion-under-sparse-factor-models-1411.0282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisy-matrix-completion-under-sparse-factor-models-1411.0282"/></url>
<url><loc>https://scifaro.com/en/abs/population-empirical-bayes-1411.0292</loc><lastmod>2015-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/population-empirical-bayes-1411.0292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/population-empirical-bayes-1411.0292"/></url>
<url><loc>https://scifaro.com/en/abs/fast-randomized-kernel-methods-with-statistical-guarantees-1411.0306</loc><lastmod>2015-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-randomized-kernel-methods-with-statistical-guarantees-1411.0306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-randomized-kernel-methods-with-statistical-guarantees-1411.0306"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-for-inference-in-probabilistic-models-with-fast-bayesian-quadrature-1411.0439</loc><lastmod>2014-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-for-inference-in-probabilistic-models-with-fast-bayesian-quadrature-1411.0439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-for-inference-in-probabilistic-models-with-fast-bayesian-quadrature-1411.0439"/></url>
<url><loc>https://scifaro.com/en/abs/modular-proximal-optimization-for-multidimensional-total-variation-regularization-1411.0589</loc><lastmod>2018-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modular-proximal-optimization-for-multidimensional-total-variation-regularization-1411.0589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modular-proximal-optimization-for-multidimensional-total-variation-regularization-1411.0589"/></url>
<url><loc>https://scifaro.com/en/abs/active-inference-for-binary-symmetric-hidden-markov-models-1411.0630</loc><lastmod>2015-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-inference-for-binary-symmetric-hidden-markov-models-1411.0630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-inference-for-binary-symmetric-hidden-markov-models-1411.0630"/></url>
<url><loc>https://scifaro.com/en/abs/a-nonparametric-adaptive-nonlinear-statistical-filter-1411.0707</loc><lastmod>2014-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-nonparametric-adaptive-nonlinear-statistical-filter-1411.0707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-nonparametric-adaptive-nonlinear-statistical-filter-1411.0707"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-mean-estimation-via-spectral-filtering-1411.0900</loc><lastmod>2014-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-mean-estimation-via-spectral-filtering-1411.0900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-mean-estimation-via-spectral-filtering-1411.0900"/></url>
<url><loc>https://scifaro.com/en/abs/simple-approximate-map-inference-for-dirichlet-processes-1411.0939</loc><lastmod>2014-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-approximate-map-inference-for-dirichlet-processes-1411.0939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-approximate-map-inference-for-dirichlet-processes-1411.0939"/></url>
<url><loc>https://scifaro.com/en/abs/expectation-maximization-for-learning-determinantal-point-processes-1411.1088</loc><lastmod>2014-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expectation-maximization-for-learning-determinantal-point-processes-1411.1088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expectation-maximization-for-learning-determinantal-point-processes-1411.1088"/></url>
<url><loc>https://scifaro.com/en/abs/using-twitter-to-predict-football-outcomes-1411.1243</loc><lastmod>2014-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-twitter-to-predict-football-outcomes-1411.1243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-twitter-to-predict-football-outcomes-1411.1243"/></url>
<url><loc>https://scifaro.com/en/abs/controlling-false-discoveries-in-high-dimensional-situations-boosting-with-stability-selection-1411.1285</loc><lastmod>2014-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlling-false-discoveries-in-high-dimensional-situations-boosting-with-stability-selection-1411.1285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlling-false-discoveries-in-high-dimensional-situations-boosting-with-stability-selection-1411.1285"/></url>
<url><loc>https://scifaro.com/en/abs/a-generic-sample-splitting-approach-for-refined-community-recovery-in-stochastic-block-models-1411.1469</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generic-sample-splitting-approach-for-refined-community-recovery-in-stochastic-block-models-1411.1469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generic-sample-splitting-approach-for-refined-community-recovery-in-stochastic-block-models-1411.1469"/></url>
<url><loc>https://scifaro.com/en/abs/large-margin-determinantal-point-processes-1411.1537</loc><lastmod>2014-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-margin-determinantal-point-processes-1411.1537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-margin-determinantal-point-processes-1411.1537"/></url>
<url><loc>https://scifaro.com/en/abs/proof-supplement-learning-sparse-causal-models-is-not-np-hard-uai2013-1411.1557</loc><lastmod>2014-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proof-supplement-learning-sparse-causal-models-is-not-np-hard-uai2013-1411.1557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proof-supplement-learning-sparse-causal-models-is-not-np-hard-uai2013-1411.1557"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-variational-inference-for-hidden-markov-models-1411.1670</loc><lastmod>2014-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-variational-inference-for-hidden-markov-models-1411.1670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-variational-inference-for-hidden-markov-models-1411.1670"/></url>
<url><loc>https://scifaro.com/en/abs/sublinear-time-approximate-mcmc-transitions-for-probabilistic-programs-1411.1690</loc><lastmod>2015-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sublinear-time-approximate-mcmc-transitions-for-probabilistic-programs-1411.1690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sublinear-time-approximate-mcmc-transitions-for-probabilistic-programs-1411.1690"/></url>
<url><loc>https://scifaro.com/en/abs/beta-process-non-negative-matrix-factorization-with-stochastic-structured-mean-field-variational-inference-1411.1804</loc><lastmod>2014-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beta-process-non-negative-matrix-factorization-with-stochastic-structured-mean-field-variational-inference-1411.1804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beta-process-non-negative-matrix-factorization-with-stochastic-structured-mean-field-variational-inference-1411.1804"/></url>
<url><loc>https://scifaro.com/en/abs/variational-tempering-1411.1810</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-tempering-1411.1810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-tempering-1411.1810"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-variational-gaussian-process-classification-1411.2005</loc><lastmod>2014-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-variational-gaussian-process-classification-1411.2005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-variational-gaussian-process-classification-1411.2005"/></url>
<url><loc>https://scifaro.com/en/abs/covariate-assisted-spectral-clustering-1411.2158</loc><lastmod>2017-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covariate-assisted-spectral-clustering-1411.2158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covariate-assisted-spectral-clustering-1411.2158"/></url>
<url><loc>https://scifaro.com/en/abs/n-3-lars-minimum-redundancy-maximum-relevance-feature-selection-for-large-and-high-dimensional-data-1411.2331</loc><lastmod>2014-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/n-3-lars-minimum-redundancy-maximum-relevance-feature-selection-for-large-and-high-dimensional-data-1411.2331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/n-3-lars-minimum-redundancy-maximum-relevance-feature-selection-for-large-and-high-dimensional-data-1411.2331"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-metric-learning-on-network-data-1411.2337</loc><lastmod>2014-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-metric-learning-on-network-data-1411.2337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-metric-learning-on-network-data-1411.2337"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-estimation-in-spherical-symmetry-groups-1411.2540</loc><lastmod>2015-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-estimation-in-spherical-symmetry-groups-1411.2540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-estimation-in-spherical-symmetry-groups-1411.2540"/></url>
<url><loc>https://scifaro.com/en/abs/deep-exponential-families-1411.2581</loc><lastmod>2014-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-exponential-families-1411.2581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-exponential-families-1411.2581"/></url>
<url><loc>https://scifaro.com/en/abs/the-bayesian-echo-chamber-modeling-social-influence-via-linguistic-accommodation-1411.2674</loc><lastmod>2015-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-bayesian-echo-chamber-modeling-social-influence-via-linguistic-accommodation-1411.2674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-bayesian-echo-chamber-modeling-social-influence-via-linguistic-accommodation-1411.2674"/></url>
<url><loc>https://scifaro.com/en/abs/a-randomized-algorithm-for-cca-1411.3409</loc><lastmod>2014-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-randomized-algorithm-for-cca-1411.3409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-randomized-algorithm-for-cca-1411.3409"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-anomaly-detection-via-probabilistic-latent-variable-models-1411.3413</loc><lastmod>2014-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-anomaly-detection-via-probabilistic-latent-variable-models-1411.3413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-anomaly-detection-via-probabilistic-latent-variable-models-1411.3413"/></url>
<url><loc>https://scifaro.com/en/abs/selfieboost-a-boosting-algorithm-for-deep-learning-1411.3436</loc><lastmod>2017-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selfieboost-a-boosting-algorithm-for-deep-learning-1411.3436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selfieboost-a-boosting-algorithm-for-deep-learning-1411.3436"/></url>
<url><loc>https://scifaro.com/en/abs/deep-narrow-boltzmann-machines-are-universal-approximators-1411.3784</loc><lastmod>2015-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-narrow-boltzmann-machines-are-universal-approximators-1411.3784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-narrow-boltzmann-machines-are-universal-approximators-1411.3784"/></url>
<url><loc>https://scifaro.com/en/abs/asymmetric-minwise-hashing-1411.3787</loc><lastmod>2014-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymmetric-minwise-hashing-1411.3787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymmetric-minwise-hashing-1411.3787"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-compositional-gradient-descent-algorithms-for-minimizing-compositions-of-expected-value-functions-1411.3803</loc><lastmod>2014-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-compositional-gradient-descent-algorithms-for-minimizing-compositions-of-expected-value-functions-1411.3803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-compositional-gradient-descent-algorithms-for-minimizing-compositions-of-expected-value-functions-1411.3803"/></url>
<url><loc>https://scifaro.com/en/abs/causal-inference-by-identification-of-vector-autoregressive-processes-with-hidden-components-1411.3972</loc><lastmod>2015-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-inference-by-identification-of-vector-autoregressive-processes-with-hidden-components-1411.3972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-inference-by-identification-of-vector-autoregressive-processes-with-hidden-components-1411.3972"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-programming-for-instance-annotation-in-multi-instance-multi-label-learning-1411.4068</loc><lastmod>2014-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-programming-for-instance-annotation-in-multi-instance-multi-label-learning-1411.4068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-programming-for-instance-annotation-in-multi-instance-multi-label-learning-1411.4068"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-view-of-generative-models-for-networks-models-methods-opportunities-and-challenges-1411.4070</loc><lastmod>2014-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-view-of-generative-models-for-networks-models-methods-opportunities-and-challenges-1411.4070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-view-of-generative-models-for-networks-models-methods-opportunities-and-challenges-1411.4070"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-studying-synaptic-plasticity-with-neural-spike-train-data-1411.4077</loc><lastmod>2014-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-studying-synaptic-plasticity-with-neural-spike-train-data-1411.4077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-studying-synaptic-plasticity-with-neural-spike-train-data-1411.4077"/></url>
<url><loc>https://scifaro.com/en/abs/error-rate-bounds-and-iterative-weighted-majority-voting-for-crowdsourcing-1411.4086</loc><lastmod>2014-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-rate-bounds-and-iterative-weighted-majority-voting-for-crowdsourcing-1411.4086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-rate-bounds-and-iterative-weighted-majority-voting-for-crowdsourcing-1411.4086"/></url>
<url><loc>https://scifaro.com/en/abs/deep-deconvolutional-networks-for-scene-parsing-1411.4101</loc><lastmod>2014-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-deconvolutional-networks-for-scene-parsing-1411.4101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-deconvolutional-networks-for-scene-parsing-1411.4101"/></url>
<url><loc>https://scifaro.com/en/abs/hipad-a-hybrid-interior-point-alternating-direction-algorithm-for-knowledge-based-svm-and-feature-selection-1411.4286</loc><lastmod>2014-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hipad-a-hybrid-interior-point-alternating-direction-algorithm-for-knowledge-based-svm-and-feature-selection-1411.4286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hipad-a-hybrid-interior-point-alternating-direction-algorithm-for-knowledge-based-svm-and-feature-selection-1411.4286"/></url>
<url><loc>https://scifaro.com/en/abs/influence-functions-for-machine-learning-nonparametric-estimators-for-entropies-divergences-and-mutual-informations-1411.4342</loc><lastmod>2015-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/influence-functions-for-machine-learning-nonparametric-estimators-for-entropies-divergences-and-mutual-informations-1411.4342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/influence-functions-for-machine-learning-nonparametric-estimators-for-entropies-divergences-and-mutual-informations-1411.4342"/></url>
<url><loc>https://scifaro.com/en/abs/robust-kernel-density-estimation-by-scaling-and-projection-in-hilbert-space-1411.4378</loc><lastmod>2014-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-kernel-density-estimation-by-scaling-and-projection-in-hilbert-space-1411.4378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-kernel-density-estimation-by-scaling-and-projection-in-hilbert-space-1411.4378"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-gaussian-process-regression-for-big-data-low-rank-representation-meets-markov-approximation-1411.4510</loc><lastmod>2014-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-gaussian-process-regression-for-big-data-low-rank-representation-meets-markov-approximation-1411.4510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-gaussian-process-regression-for-big-data-low-rank-representation-meets-markov-approximation-1411.4510"/></url>
<url><loc>https://scifaro.com/en/abs/implicitly-constrained-semi-supervised-linear-discriminant-analysis-1411.4521</loc><lastmod>2014-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicitly-constrained-semi-supervised-linear-discriminant-analysis-1411.4521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicitly-constrained-semi-supervised-linear-discriminant-analysis-1411.4521"/></url>
<url><loc>https://scifaro.com/en/abs/the-nlms-algorithm-with-time-variant-optimum-stepsize-derived-from-a-bayesian-network-perspective-1411.4834</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-nlms-algorithm-with-time-variant-optimum-stepsize-derived-from-a-bayesian-network-perspective-1411.4834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-nlms-algorithm-with-time-variant-optimum-stepsize-derived-from-a-bayesian-network-perspective-1411.4834"/></url>
<url><loc>https://scifaro.com/en/abs/nonnegative-tensor-factorization-for-directional-blind-audio-source-separation-1411.5010</loc><lastmod>2017-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonnegative-tensor-factorization-for-directional-blind-audio-source-separation-1411.5010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonnegative-tensor-factorization-for-directional-blind-audio-source-separation-1411.5010"/></url>
<url><loc>https://scifaro.com/en/abs/designing-optimal-mortality-risk-prediction-scores-that-preserve-clinical-knowledge-1411.5086</loc><lastmod>2015-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/designing-optimal-mortality-risk-prediction-scores-that-preserve-clinical-knowledge-1411.5086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/designing-optimal-mortality-risk-prediction-scores-that-preserve-clinical-knowledge-1411.5086"/></url>
<url><loc>https://scifaro.com/en/abs/large-margin-classification-with-multiple-decision-rules-1411.5260</loc><lastmod>2014-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-margin-classification-with-multiple-decision-rules-1411.5260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-margin-classification-with-multiple-decision-rules-1411.5260"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-error-in-estimates-of-human-brain-fiber-directions-using-earth-mover-s-distance-1411.5271</loc><lastmod>2014-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-error-in-estimates-of-human-brain-fiber-directions-using-earth-mover-s-distance-1411.5271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-error-in-estimates-of-human-brain-fiber-directions-using-earth-mover-s-distance-1411.5271"/></url>
<url><loc>https://scifaro.com/en/abs/metric-recovery-from-directed-unweighted-graphs-1411.5720</loc><lastmod>2014-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metric-recovery-from-directed-unweighted-graphs-1411.5720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metric-recovery-from-directed-unweighted-graphs-1411.5720"/></url>
<url><loc>https://scifaro.com/en/abs/group-factor-analysis-1411.5799</loc><lastmod>2014-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-factor-analysis-1411.5799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-factor-analysis-1411.5799"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-impossibility-of-convex-inference-in-human-computation-1411.5977</loc><lastmod>2014-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-impossibility-of-convex-inference-in-human-computation-1411.5977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-impossibility-of-convex-inference-in-human-computation-1411.5977"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-minimax-signal-detection-on-graphs-1411.6203</loc><lastmod>2014-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-minimax-signal-detection-on-graphs-1411.6203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-minimax-signal-detection-on-graphs-1411.6203"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-variable-selection-in-multi-group-sparse-discriminant-analysis-1411.6311</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-variable-selection-in-multi-group-sparse-discriminant-analysis-1411.6311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-variable-selection-in-multi-group-sparse-discriminant-analysis-1411.6311"/></url>
<url><loc>https://scifaro.com/en/abs/mutual-information-based-unsupervised-feature-transformation-for-heterogeneous-feature-subset-selection-1411.6400</loc><lastmod>2015-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mutual-information-based-unsupervised-feature-transformation-for-heterogeneous-feature-subset-selection-1411.6400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mutual-information-based-unsupervised-feature-transformation-for-heterogeneous-feature-subset-selection-1411.6400"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-coordinate-descent-for-l1-regularized-logistic-regression-1411.6520</loc><lastmod>2016-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-coordinate-descent-for-l1-regularized-logistic-regression-1411.6520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-coordinate-descent-for-l1-regularized-logistic-regression-1411.6520"/></url>
<url><loc>https://scifaro.com/en/abs/consistency-of-cheeger-and-ratio-graph-cuts-1411.6590</loc><lastmod>2014-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistency-of-cheeger-and-ratio-graph-cuts-1411.6590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistency-of-cheeger-and-ratio-graph-cuts-1411.6590"/></url>
<url><loc>https://scifaro.com/en/abs/noise-benefits-in-expectation-maximization-algorithms-1411.6622</loc><lastmod>2014-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-benefits-in-expectation-maximization-algorithms-1411.6622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-benefits-in-expectation-maximization-algorithms-1411.6622"/></url>
<url><loc>https://scifaro.com/en/abs/pluto-penalized-unbiased-logistic-regression-trees-1411.6948</loc><lastmod>2014-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pluto-penalized-unbiased-logistic-regression-trees-1411.6948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pluto-penalized-unbiased-logistic-regression-trees-1411.6948"/></url>
<url><loc>https://scifaro.com/en/abs/localized-complexities-for-transductive-learning-1411.7200</loc><lastmod>2014-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/localized-complexities-for-transductive-learning-1411.7200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/localized-complexities-for-transductive-learning-1411.7200"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-relating-ridge-regression-and-ols-p-values-to-preconditioned-sparse-penalized-regression-1411.7405</loc><lastmod>2014-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-relating-ridge-regression-and-ols-p-values-to-preconditioned-sparse-penalized-regression-1411.7405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-relating-ridge-regression-and-ols-p-values-to-preconditioned-sparse-penalized-regression-1411.7405"/></url>
<url><loc>https://scifaro.com/en/abs/metrics-for-probabilistic-geometries-1411.7432</loc><lastmod>2014-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metrics-for-probabilistic-geometries-1411.7432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metrics-for-probabilistic-geometries-1411.7432"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-the-colorado-river-discharge-using-an-artificial-neural-network-ann-approach-1411.7508</loc><lastmod>2014-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-the-colorado-river-discharge-using-an-artificial-neural-network-ann-approach-1411.7508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-the-colorado-river-discharge-using-an-artificial-neural-network-ann-approach-1411.7508"/></url>
<url><loc>https://scifaro.com/en/abs/learning-stochastic-recurrent-networks-1411.7610</loc><lastmod>2015-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-stochastic-recurrent-networks-1411.7610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-stochastic-recurrent-networks-1411.7610"/></url>
<url><loc>https://scifaro.com/en/abs/a-nonparametric-bayesian-approach-to-uncovering-rat-hippocampal-population-codes-during-spatial-navigation-1411.7706</loc><lastmod>2014-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-nonparametric-bayesian-approach-to-uncovering-rat-hippocampal-population-codes-during-spatial-navigation-1411.7706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-nonparametric-bayesian-approach-to-uncovering-rat-hippocampal-population-codes-during-spatial-navigation-1411.7706"/></url>
<url><loc>https://scifaro.com/en/abs/classification-with-noisy-labels-by-importance-reweighting-1411.7718</loc><lastmod>2015-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-with-noisy-labels-by-importance-reweighting-1411.7718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-with-noisy-labels-by-importance-reweighting-1411.7718"/></url>
<url><loc>https://scifaro.com/en/abs/from-neural-pca-to-deep-unsupervised-learning-1411.7783</loc><lastmod>2015-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-neural-pca-to-deep-unsupervised-learning-1411.7783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-neural-pca-to-deep-unsupervised-learning-1411.7783"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-algebraic-invariances-and-the-invariant-kernel-trick-1411.7817</loc><lastmod>2014-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-algebraic-invariances-and-the-invariant-kernel-trick-1411.7817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-algebraic-invariances-and-the-invariant-kernel-trick-1411.7817"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-inference-of-overlapping-communities-in-complex-networks-1411.7864</loc><lastmod>2014-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-inference-of-overlapping-communities-in-complex-networks-1411.7864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-inference-of-overlapping-communities-in-complex-networks-1411.7864"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-clicks-in-online-display-advertising-with-latent-features-and-side-information-1411.7924</loc><lastmod>2014-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-clicks-in-online-display-advertising-with-latent-features-and-side-information-1411.7924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-clicks-in-online-display-advertising-with-latent-features-and-side-information-1411.7924"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-variational-inference-for-bayesian-nonparametric-mixture-models-1412.0694</loc><lastmod>2015-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-variational-inference-for-bayesian-nonparametric-mixture-models-1412.0694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-variational-inference-for-bayesian-nonparametric-mixture-models-1412.0694"/></url>
<url><loc>https://scifaro.com/en/abs/extraction-of-pharmacokinetic-evidence-of-drug-drug-interactions-from-the-literature-1412.0744</loc><lastmod>2015-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extraction-of-pharmacokinetic-evidence-of-drug-drug-interactions-from-the-literature-1412.0744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extraction-of-pharmacokinetic-evidence-of-drug-drug-interactions-from-the-literature-1412.0744"/></url>
<url><loc>https://scifaro.com/en/abs/curriculum-learning-of-multiple-tasks-1412.1353</loc><lastmod>2014-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curriculum-learning-of-multiple-tasks-1412.1353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curriculum-learning-of-multiple-tasks-1412.1353"/></url>
<url><loc>https://scifaro.com/en/abs/nested-variational-compression-in-deep-gaussian-processes-1412.1370</loc><lastmod>2014-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nested-variational-compression-in-deep-gaussian-processes-1412.1370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nested-variational-compression-in-deep-gaussian-processes-1412.1370"/></url>
<url><loc>https://scifaro.com/en/abs/structure-learning-of-antiferromagnetic-ising-models-1412.1443</loc><lastmod>2014-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-learning-of-antiferromagnetic-ising-models-1412.1443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-learning-of-antiferromagnetic-ising-models-1412.1443"/></url>
<url><loc>https://scifaro.com/en/abs/lightlda-big-topic-models-on-modest-compute-clusters-1412.1576</loc><lastmod>2014-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lightlda-big-topic-models-on-modest-compute-clusters-1412.1576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lightlda-big-topic-models-on-modest-compute-clusters-1412.1576"/></url>
<url><loc>https://scifaro.com/en/abs/image-data-compression-for-covariance-and-histogram-descriptors-1412.1740</loc><lastmod>2015-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/image-data-compression-for-covariance-and-histogram-descriptors-1412.1740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/image-data-compression-for-covariance-and-histogram-descriptors-1412.1740"/></url>
<url><loc>https://scifaro.com/en/abs/quantile-universal-threshold-model-selection-at-the-detection-edge-for-high-dimensional-linear-regression-1412.1927</loc><lastmod>2017-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantile-universal-threshold-model-selection-at-the-detection-edge-for-high-dimensional-linear-regression-1412.1927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantile-universal-threshold-model-selection-at-the-detection-edge-for-high-dimensional-linear-regression-1412.1927"/></url>
<url><loc>https://scifaro.com/en/abs/consistent-collective-matrix-completion-under-joint-low-rank-structure-1412.2113</loc><lastmod>2015-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-collective-matrix-completion-under-joint-low-rank-structure-1412.2113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-collective-matrix-completion-under-joint-low-rank-structure-1412.2113"/></url>
<url><loc>https://scifaro.com/en/abs/a-likelihood-ratio-framework-for-high-dimensional-semiparametric-regression-1412.2295</loc><lastmod>2015-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-likelihood-ratio-framework-for-high-dimensional-semiparametric-regression-1412.2295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-likelihood-ratio-framework-for-high-dimensional-semiparametric-regression-1412.2295"/></url>
<url><loc>https://scifaro.com/en/abs/visual-causal-feature-learning-1412.2309</loc><lastmod>2015-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visual-causal-feature-learning-1412.2309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visual-causal-feature-learning-1412.2309"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-bayesian-reconstruction-of-non-iid-block-sparse-signals-1412.2316</loc><lastmod>2014-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-bayesian-reconstruction-of-non-iid-block-sparse-signals-1412.2316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-bayesian-reconstruction-of-non-iid-block-sparse-signals-1412.2316"/></url>
<url><loc>https://scifaro.com/en/abs/two-step-recovery-of-jointly-sparse-and-low-rank-matrices-theoretical-guarantees-1412.2669</loc><lastmod>2015-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-step-recovery-of-jointly-sparse-and-low-rank-matrices-theoretical-guarantees-1412.2669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-step-recovery-of-jointly-sparse-and-low-rank-matrices-theoretical-guarantees-1412.2669"/></url>
<url><loc>https://scifaro.com/en/abs/pope-post-optimization-posterior-evaluation-of-likelihood-free-models-1412.3051</loc><lastmod>2014-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pope-post-optimization-posterior-evaluation-of-likelihood-free-models-1412.3051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pope-post-optimization-posterior-evaluation-of-likelihood-free-models-1412.3051"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-mixture-of-experts-model-for-large-scale-gaussian-process-regression-1412.3078</loc><lastmod>2014-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-mixture-of-experts-model-for-large-scale-gaussian-process-regression-1412.3078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-mixture-of-experts-model-for-large-scale-gaussian-process-regression-1412.3078"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-and-rate-of-convergence-of-some-greedy-algorithms-in-convex-optimization-1412.3297</loc><lastmod>2014-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-and-rate-of-convergence-of-some-greedy-algorithms-in-convex-optimization-1412.3297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-and-rate-of-convergence-of-some-greedy-algorithms-in-convex-optimization-1412.3297"/></url>
<url><loc>https://scifaro.com/en/abs/gp-select-accelerating-em-using-adaptive-subspace-preselection-1412.3411</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gp-select-accelerating-em-using-adaptive-subspace-preselection-1412.3411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gp-select-accelerating-em-using-adaptive-subspace-preselection-1412.3411"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-overlapping-communities-in-networks-using-spectral-methods-1412.3432</loc><lastmod>2015-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-overlapping-communities-in-networks-using-spectral-methods-1412.3432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-overlapping-communities-in-networks-using-spectral-methods-1412.3432"/></url>
<url><loc>https://scifaro.com/en/abs/certifying-and-removing-disparate-impact-1412.3756</loc><lastmod>2015-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certifying-and-removing-disparate-impact-1412.3756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certifying-and-removing-disparate-impact-1412.3756"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-stochastic-gradient-descent-on-the-grassmannian-for-robust-low-rank-subspace-recovery-and-clustering-1412.4044</loc><lastmod>2015-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-stochastic-gradient-descent-on-the-grassmannian-for-robust-low-rank-subspace-recovery-and-clustering-1412.4044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-stochastic-gradient-descent-on-the-grassmannian-for-robust-low-rank-subspace-recovery-and-clustering-1412.4044"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-screening-accelerating-first-order-algorithms-for-the-lasso-and-group-lasso-1412.4080</loc><lastmod>2015-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-screening-accelerating-first-order-algorithms-for-the-lasso-and-group-lasso-1412.4080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-screening-accelerating-first-order-algorithms-for-the-lasso-and-group-lasso-1412.4080"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-matching-using-shortest-path-distance-and-joint-neighborhood-selection-1412.4098</loc><lastmod>2024-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-matching-using-shortest-path-distance-and-joint-neighborhood-selection-1412.4098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-matching-using-shortest-path-distance-and-joint-neighborhood-selection-1412.4098"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adversarial-neural-networks-1412.4446</loc><lastmod>2015-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adversarial-neural-networks-1412.4446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adversarial-neural-networks-1412.4446"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-multi-tensor-factorization-1412.4679</loc><lastmod>2016-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-multi-tensor-factorization-1412.4679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-multi-tensor-factorization-1412.4679"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-pseudo-ensembles-1412.4864</loc><lastmod>2014-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-pseudo-ensembles-1412.4864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-pseudo-ensembles-1412.4864"/></url>
<url><loc>https://scifaro.com/en/abs/testing-and-confidence-intervals-for-high-dimensional-proportional-hazards-model-1412.5158</loc><lastmod>2014-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-and-confidence-intervals-for-high-dimensional-proportional-hazards-model-1412.5158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-and-confidence-intervals-for-high-dimensional-proportional-hazards-model-1412.5158"/></url>
<url><loc>https://scifaro.com/en/abs/the-supervised-hierarchical-dirichlet-process-1412.5236</loc><lastmod>2014-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-supervised-hierarchical-dirichlet-process-1412.5236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-supervised-hierarchical-dirichlet-process-1412.5236"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-descent-analysis-of-representation-learning-algorithms-1412.5744</loc><lastmod>2017-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-descent-analysis-of-representation-learning-algorithms-1412.5744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-descent-analysis-of-representation-learning-algorithms-1412.5744"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-stability-of-deep-networks-1412.5896</loc><lastmod>2015-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-stability-of-deep-networks-1412.5896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-stability-of-deep-networks-1412.5896"/></url>
<url><loc>https://scifaro.com/en/abs/tag-aware-ordinal-sparse-factor-analysis-for-learning-and-content-analytics-1412.5967</loc><lastmod>2014-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tag-aware-ordinal-sparse-factor-analysis-for-learning-and-content-analytics-1412.5967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tag-aware-ordinal-sparse-factor-analysis-for-learning-and-content-analytics-1412.5967"/></url>
<url><loc>https://scifaro.com/en/abs/quantized-matrix-completion-for-personalized-learning-1412.5968</loc><lastmod>2014-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantized-matrix-completion-for-personalized-learning-1412.5968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantized-matrix-completion-for-personalized-learning-1412.5968"/></url>
<url><loc>https://scifaro.com/en/abs/generative-deep-deconvolutional-learning-1412.6039</loc><lastmod>2015-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-deep-deconvolutional-learning-1412.6039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-deep-deconvolutional-learning-1412.6039"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-exact-cluster-recovery-threshold-via-semidefinite-programming-1412.6156</loc><lastmod>2016-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-exact-cluster-recovery-threshold-via-semidefinite-programming-1412.6156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-exact-cluster-recovery-threshold-via-semidefinite-programming-1412.6156"/></url>
<url><loc>https://scifaro.com/en/abs/on-distinguishability-criteria-for-estimating-generative-models-1412.6515</loc><lastmod>2015-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-distinguishability-criteria-for-estimating-generative-models-1412.6515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-distinguishability-criteria-for-estimating-generative-models-1412.6515"/></url>
<url><loc>https://scifaro.com/en/abs/self-informed-neural-network-structure-learning-1412.6563</loc><lastmod>2015-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-informed-neural-network-structure-learning-1412.6563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-informed-neural-network-structure-learning-1412.6563"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-and-harnessing-adversarial-examples-1412.6572</loc><lastmod>2015-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-and-harnessing-adversarial-examples-1412.6572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-and-harnessing-adversarial-examples-1412.6572"/></url>
<url><loc>https://scifaro.com/en/abs/variational-recurrent-auto-encoders-1412.6581</loc><lastmod>2015-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-recurrent-auto-encoders-1412.6581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-recurrent-auto-encoders-1412.6581"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-structured-fully-connected-random-field-model-for-structured-inference-1412.6586</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-structured-fully-connected-random-field-model-for-structured-inference-1412.6586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-structured-fully-connected-random-field-model-for-structured-inference-1412.6586"/></url>
<url><loc>https://scifaro.com/en/abs/generative-modeling-of-hidden-functional-brain-networks-1412.6602</loc><lastmod>2015-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-modeling-of-hidden-functional-brain-networks-1412.6602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-modeling-of-hidden-functional-brain-networks-1412.6602"/></url>
<url><loc>https://scifaro.com/en/abs/competing-with-the-empirical-risk-minimizer-in-a-single-pass-1412.6606</loc><lastmod>2015-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/competing-with-the-empirical-risk-minimizer-in-a-single-pass-1412.6606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/competing-with-the-empirical-risk-minimizer-in-a-single-pass-1412.6606"/></url>
<url><loc>https://scifaro.com/en/abs/explorations-on-high-dimensional-landscapes-1412.6615</loc><lastmod>2015-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explorations-on-high-dimensional-landscapes-1412.6615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explorations-on-high-dimensional-landscapes-1412.6615"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-temporal-differences-1412.6734</loc><lastmod>2014-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-temporal-differences-1412.6734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-temporal-differences-1412.6734"/></url>
<url><loc>https://scifaro.com/en/abs/locally-weighted-learning-for-naive-bayes-classifier-1412.6741</loc><lastmod>2014-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-weighted-learning-for-naive-bayes-classifier-1412.6741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-weighted-learning-for-naive-bayes-classifier-1412.6741"/></url>
<url><loc>https://scifaro.com/en/abs/principal-sensitivity-analysis-1412.6785</loc><lastmod>2015-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principal-sensitivity-analysis-1412.6785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principal-sensitivity-analysis-1412.6785"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-nonlinear-geometry-of-high-dimensional-data-models-and-algorithms-1412.6808</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-nonlinear-geometry-of-high-dimensional-data-models-and-algorithms-1412.6808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-nonlinear-geometry-of-high-dimensional-data-models-and-algorithms-1412.6808"/></url>
<url><loc>https://scifaro.com/en/abs/a-stable-multi-scale-kernel-for-topological-machine-learning-1412.6821</loc><lastmod>2014-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-stable-multi-scale-kernel-for-topological-machine-learning-1412.6821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-stable-multi-scale-kernel-for-topological-machine-learning-1412.6821"/></url>
<url><loc>https://scifaro.com/en/abs/boltzmann-machine-learning-of-prior-distributions-of-binarized-natural-images-1412.7012</loc><lastmod>2016-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boltzmann-machine-learning-of-prior-distributions-of-binarized-natural-images-1412.7012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boltzmann-machine-learning-of-prior-distributions-of-binarized-natural-images-1412.7012"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-subspace-sparse-recovery-with-corrupted-data-via-constrained-ell-1-minimization-1412.7260</loc><lastmod>2016-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-subspace-sparse-recovery-with-corrupted-data-via-constrained-ell-1-minimization-1412.7260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-subspace-sparse-recovery-with-corrupted-data-via-constrained-ell-1-minimization-1412.7260"/></url>
<url><loc>https://scifaro.com/en/abs/pathwise-coordinate-optimization-for-sparse-learning-algorithm-and-theory-1412.7477</loc><lastmod>2017-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pathwise-coordinate-optimization-for-sparse-learning-algorithm-and-theory-1412.7477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pathwise-coordinate-optimization-for-sparse-learning-algorithm-and-theory-1412.7477"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-perspective-on-multi-domain-and-multi-task-learning-1412.7489</loc><lastmod>2015-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-perspective-on-multi-domain-and-multi-task-learning-1412.7489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-perspective-on-multi-domain-and-multi-task-learning-1412.7489"/></url>
<url><loc>https://scifaro.com/en/abs/inference-for-sparse-conditional-precision-matrices-1412.7638</loc><lastmod>2014-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-for-sparse-conditional-precision-matrices-1412.7638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-for-sparse-conditional-precision-matrices-1412.7638"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-sparsity-in-multi-class-linear-discriminant-analysis-1412.7983</loc><lastmod>2015-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-sparsity-in-multi-class-linear-discriminant-analysis-1412.7983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-sparsity-in-multi-class-linear-discriminant-analysis-1412.7983"/></url>
<url><loc>https://scifaro.com/en/abs/quasi-monte-carlo-feature-maps-for-shift-invariant-kernels-1412.8293</loc><lastmod>2015-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quasi-monte-carlo-feature-maps-for-shift-invariant-kernels-1412.8293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quasi-monte-carlo-feature-maps-for-shift-invariant-kernels-1412.8293"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-coding-for-cross-domain-matching-with-dimension-reduction-via-spectral-graph-embedding-1412.8380</loc><lastmod>2015-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-coding-for-cross-domain-matching-with-dimension-reduction-via-spectral-graph-embedding-1412.8380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-coding-for-cross-domain-matching-with-dimension-reduction-via-spectral-graph-embedding-1412.8380"/></url>
<url><loc>https://scifaro.com/en/abs/on-semiparametric-exponential-family-graphical-models-1412.8697</loc><lastmod>2015-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-semiparametric-exponential-family-graphical-models-1412.8697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-semiparametric-exponential-family-graphical-models-1412.8697"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-framework-for-robust-testing-and-confidence-regions-in-high-dimensional-quantile-regression-1412.8724</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-framework-for-robust-testing-and-confidence-regions-in-high-dimensional-quantile-regression-1412.8724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-framework-for-robust-testing-and-confidence-regions-in-high-dimensional-quantile-regression-1412.8724"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-expectation-maximization-algorithm-statistical-optimization-and-asymptotic-normality-1412.8729</loc><lastmod>2015-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-expectation-maximization-algorithm-statistical-optimization-and-asymptotic-normality-1412.8729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-expectation-maximization-algorithm-statistical-optimization-and-asymptotic-normality-1412.8729"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-theory-of-hypothesis-tests-and-confidence-regions-for-sparse-high-dimensional-models-1412.8765</loc><lastmod>2015-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-theory-of-hypothesis-tests-and-confidence-regions-for-sparse-high-dimensional-models-1412.8765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-theory-of-hypothesis-tests-and-confidence-regions-for-sparse-high-dimensional-models-1412.8765"/></url>
<url><loc>https://scifaro.com/en/abs/detailed-derivations-of-small-variance-asymptotics-for-some-hierarchical-bayesian-nonparametric-models-1501.00052</loc><lastmod>2015-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detailed-derivations-of-small-variance-asymptotics-for-some-hierarchical-bayesian-nonparametric-models-1501.00052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detailed-derivations-of-small-variance-asymptotics-for-some-hierarchical-bayesian-nonparametric-models-1501.00052"/></url>
<url><loc>https://scifaro.com/en/abs/learning-parameters-for-weighted-matrix-completion-via-empirical-estimation-1501.00192</loc><lastmod>2015-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-parameters-for-weighted-matrix-completion-via-empirical-estimation-1501.00192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-parameters-for-weighted-matrix-completion-via-empirical-estimation-1501.00192"/></url>
<url><loc>https://scifaro.com/en/abs/passing-expectation-propagation-messages-with-kernel-methods-1501.00375</loc><lastmod>2015-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/passing-expectation-propagation-messages-with-kernel-methods-1501.00375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/passing-expectation-propagation-messages-with-kernel-methods-1501.00375"/></url>
<url><loc>https://scifaro.com/en/abs/a-taxonomy-of-big-data-for-optimal-predictive-machine-learning-and-data-mining-1501.00604</loc><lastmod>2015-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-taxonomy-of-big-data-for-optimal-predictive-machine-learning-and-data-mining-1501.00604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-taxonomy-of-big-data-for-optimal-predictive-machine-learning-and-data-mining-1501.00604"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-and-low-rank-multivariate-hawkes-processes-1501.00725</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-and-low-rank-multivariate-hawkes-processes-1501.00725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-and-low-rank-multivariate-hawkes-processes-1501.00725"/></url>
<url><loc>https://scifaro.com/en/abs/innovated-interaction-screening-for-high-dimensional-nonlinear-classification-1501.01029</loc><lastmod>2015-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/innovated-interaction-screening-for-high-dimensional-nonlinear-classification-1501.01029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/innovated-interaction-screening-for-high-dimensional-nonlinear-classification-1501.01029"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-kernel-herding-frank-wolfe-optimization-for-particle-filtering-1501.02056</loc><lastmod>2015-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-kernel-herding-frank-wolfe-optimization-for-particle-filtering-1501.02056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-kernel-herding-frank-wolfe-optimization-for-particle-filtering-1501.02056"/></url>
<url><loc>https://scifaro.com/en/abs/equitability-of-dependence-measure-1501.02102</loc><lastmod>2018-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equitability-of-dependence-measure-1501.02102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equitability-of-dependence-measure-1501.02102"/></url>
<url><loc>https://scifaro.com/en/abs/survey-schemes-for-stochastic-gradient-descent-with-applications-to-m-estimation-1501.02218</loc><lastmod>2015-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survey-schemes-for-stochastic-gradient-descent-with-applications-to-m-estimation-1501.02218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survey-schemes-for-stochastic-gradient-descent-with-applications-to-m-estimation-1501.02218"/></url>
<url><loc>https://scifaro.com/en/abs/combined-modeling-of-sparse-and-dense-noise-for-improvement-of-relevance-vector-machine-1501.02579</loc><lastmod>2015-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combined-modeling-of-sparse-and-dense-noise-for-improvement-of-relevance-vector-machine-1501.02579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combined-modeling-of-sparse-and-dense-noise-for-improvement-of-relevance-vector-machine-1501.02579"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-up-empirical-risk-minimization-optimization-of-incomplete-u-statistics-1501.02629</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-up-empirical-risk-minimization-optimization-of-incomplete-u-statistics-1501.02629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-up-empirical-risk-minimization-optimization-of-incomplete-u-statistics-1501.02629"/></url>
<url><loc>https://scifaro.com/en/abs/sprite-a-response-model-for-multiple-choice-testing-1501.02844</loc><lastmod>2015-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sprite-a-response-model-for-multiple-choice-testing-1501.02844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sprite-a-response-model-for-multiple-choice-testing-1501.02844"/></url>
<url><loc>https://scifaro.com/en/abs/ell-0-sparsifying-transform-learning-with-efficient-optimal-updates-and-convergence-guarantees-1501.02859</loc><lastmod>2015-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ell-0-sparsifying-transform-learning-with-efficient-optimal-updates-and-convergence-guarantees-1501.02859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ell-0-sparsifying-transform-learning-with-efficient-optimal-updates-and-convergence-guarantees-1501.02859"/></url>
<url><loc>https://scifaro.com/en/abs/random-bits-regression-a-strong-general-predictor-for-big-data-1501.02990</loc><lastmod>2016-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-bits-regression-a-strong-general-predictor-for-big-data-1501.02990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-bits-regression-a-strong-general-predictor-for-big-data-1501.02990"/></url>
<url><loc>https://scifaro.com/en/abs/on-generalizing-the-c-bound-to-the-multiclass-and-multi-label-settings-1501.03001</loc><lastmod>2015-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-generalizing-the-c-bound-to-the-multiclass-and-multi-label-settings-1501.03001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-generalizing-the-c-bound-to-the-multiclass-and-multi-label-settings-1501.03001"/></url>
<url><loc>https://scifaro.com/en/abs/an-improvement-to-the-domain-adaptation-bound-in-a-pac-bayesian-context-1501.03002</loc><lastmod>2015-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improvement-to-the-domain-adaptation-bound-in-a-pac-bayesian-context-1501.03002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improvement-to-the-domain-adaptation-bound-in-a-pac-bayesian-context-1501.03002"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-for-likelihood-free-inference-of-simulator-based-statistical-models-1501.03291</loc><lastmod>2016-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-for-likelihood-free-inference-of-simulator-based-statistical-models-1501.03291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-for-likelihood-free-inference-of-simulator-based-statistical-models-1501.03291"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-bayes-for-big-data-paths-of-partial-posteriors-1501.03326</loc><lastmod>2015-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-bayes-for-big-data-paths-of-partial-posteriors-1501.03326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-bayes-for-big-data-paths-of-partial-posteriors-1501.03326"/></url>
<url><loc>https://scifaro.com/en/abs/dirichlet-process-parsimonious-mixtures-for-clustering-1501.03347</loc><lastmod>2018-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dirichlet-process-parsimonious-mixtures-for-clustering-1501.03347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dirichlet-process-parsimonious-mixtures-for-clustering-1501.03347"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-nonparametrics-in-topic-modeling-a-brief-tutorial-1501.03861</loc><lastmod>2015-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-nonparametrics-in-topic-modeling-a-brief-tutorial-1501.03861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-nonparametrics-in-topic-modeling-a-brief-tutorial-1501.03861"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-bayesian-optimization-1501.04080</loc><lastmod>2015-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-bayesian-optimization-1501.04080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-bayesian-optimization-1501.04080"/></url>
<url><loc>https://scifaro.com/en/abs/mathematical-language-processing-automatic-grading-and-feedback-for-open-response-mathematical-questions-1501.04346</loc><lastmod>2015-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mathematical-language-processing-automatic-grading-and-feedback-for-open-response-mathematical-questions-1501.04346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mathematical-language-processing-automatic-grading-and-feedback-for-open-response-mathematical-questions-1501.04346"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-mechanical-analysis-of-pre-training-and-fine-tuning-in-deep-learning-1501.04413</loc><lastmod>2015-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-mechanical-analysis-of-pre-training-and-fine-tuning-in-deep-learning-1501.04413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-mechanical-analysis-of-pre-training-and-fine-tuning-in-deep-learning-1501.04413"/></url>
<url><loc>https://scifaro.com/en/abs/implementable-confidence-sets-in-high-dimensional-regression-1501.04467</loc><lastmod>2015-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implementable-confidence-sets-in-high-dimensional-regression-1501.04467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implementable-confidence-sets-in-high-dimensional-regression-1501.04467"/></url>
<url><loc>https://scifaro.com/en/abs/microscopic-advances-with-large-scale-learning-stochastic-optimization-for-cryo-em-1501.04656</loc><lastmod>2015-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/microscopic-advances-with-large-scale-learning-stochastic-optimization-for-cryo-em-1501.04656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/microscopic-advances-with-large-scale-learning-stochastic-optimization-for-cryo-em-1501.04656"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-multi-output-label-prediction-from-classifier-chains-to-classifier-trellises-1501.04870</loc><lastmod>2015-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-multi-output-label-prediction-from-classifier-chains-to-classifier-trellises-1501.04870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-multi-output-label-prediction-from-classifier-chains-to-classifier-trellises-1501.04870"/></url>
<url><loc>https://scifaro.com/en/abs/bdgraph-an-r-package-for-bayesian-structure-learning-in-graphical-models-1501.05108</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bdgraph-an-r-package-for-bayesian-structure-learning-in-graphical-models-1501.05108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bdgraph-an-r-package-for-bayesian-structure-learning-in-graphical-models-1501.05108"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-alternative-to-mutual-information-for-the-hierarchical-clustering-of-dependent-random-variables-1501.05194</loc><lastmod>2016-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-alternative-to-mutual-information-for-the-hierarchical-clustering-of-dependent-random-variables-1501.05194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-alternative-to-mutual-information-for-the-hierarchical-clustering-of-dependent-random-variables-1501.05194"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-optimal-sparse-signal-recovery-with-poisson-statistics-1501.05200</loc><lastmod>2016-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-optimal-sparse-signal-recovery-with-poisson-statistics-1501.05200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-optimal-sparse-signal-recovery-with-poisson-statistics-1501.05200"/></url>
<url><loc>https://scifaro.com/en/abs/sketch-and-validate-for-big-data-clustering-1501.05590</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sketch-and-validate-for-big-data-clustering-1501.05590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sketch-and-validate-for-big-data-clustering-1501.05590"/></url>
<url><loc>https://scifaro.com/en/abs/a-collaborative-kalman-filter-for-time-evolving-dyadic-processes-1501.05624</loc><lastmod>2015-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-collaborative-kalman-filter-for-time-evolving-dyadic-processes-1501.05624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-collaborative-kalman-filter-for-time-evolving-dyadic-processes-1501.05624"/></url>
<url><loc>https://scifaro.com/en/abs/bi-objective-nonnegative-matrix-factorization-linear-versus-kernel-based-models-1501.05684</loc><lastmod>2015-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bi-objective-nonnegative-matrix-factorization-linear-versus-kernel-based-models-1501.05684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bi-objective-nonnegative-matrix-factorization-linear-versus-kernel-based-models-1501.05684"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-learning-for-low-rank-matrix-reconstruction-1501.05740</loc><lastmod>2015-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-learning-for-low-rank-matrix-reconstruction-1501.05740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-learning-for-low-rank-matrix-reconstruction-1501.05740"/></url>
<url><loc>https://scifaro.com/en/abs/consistency-analysis-of-nearest-subspace-classifier-1501.06060</loc><lastmod>2015-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistency-analysis-of-nearest-subspace-classifier-1501.06060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistency-analysis-of-nearest-subspace-classifier-1501.06060"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-distance-weighted-discrimination-1501.06066</loc><lastmod>2015-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-distance-weighted-discrimination-1501.06066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-distance-weighted-discrimination-1501.06066"/></url>
<url><loc>https://scifaro.com/en/abs/a-simpler-condition-for-consistency-of-a-kernel-independence-test-1501.06103</loc><lastmod>2015-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simpler-condition-for-consistency-of-a-kernel-independence-test-1501.06103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simpler-condition-for-consistency-of-a-kernel-independence-test-1501.06103"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-error-reduction-function-as-a-variable-importance-score-1501.06116</loc><lastmod>2015-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-error-reduction-function-as-a-variable-importance-score-1501.06116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-error-reduction-function-as-a-variable-importance-score-1501.06116"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-sketches-for-kernels-fast-and-optimal-non-parametric-regression-1501.06195</loc><lastmod>2015-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-sketches-for-kernels-fast-and-optimal-non-parametric-regression-1501.06195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-sketches-for-kernels-fast-and-optimal-non-parametric-regression-1501.06195"/></url>
<url><loc>https://scifaro.com/en/abs/infinite-edge-partition-models-for-overlapping-community-detection-and-link-prediction-1501.06218</loc><lastmod>2015-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infinite-edge-partition-models-for-overlapping-community-detection-and-link-prediction-1501.06218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infinite-edge-partition-models-for-overlapping-community-detection-and-link-prediction-1501.06218"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-sensing-with-model-mismatch-1501.06241</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-sensing-with-model-mismatch-1501.06241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-sensing-with-model-mismatch-1501.06241"/></url>
<url><loc>https://scifaro.com/en/abs/poisson-matrix-completion-1501.06243</loc><lastmod>2015-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poisson-matrix-completion-1501.06243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poisson-matrix-completion-1501.06243"/></url>
<url><loc>https://scifaro.com/en/abs/it-map-an-effective-nonlinear-dimensionality-reduction-method-for-interactive-clustering-1501.06450</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/it-map-an-effective-nonlinear-dimensionality-reduction-method-for-interactive-clustering-1501.06450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/it-map-an-effective-nonlinear-dimensionality-reduction-method-for-interactive-clustering-1501.06450"/></url>
<url><loc>https://scifaro.com/en/abs/online-nonparametric-regression-with-general-loss-functions-1501.06598</loc><lastmod>2015-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-nonparametric-regression-with-general-loss-functions-1501.06598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-nonparametric-regression-with-general-loss-functions-1501.06598"/></url>
<url><loc>https://scifaro.com/en/abs/factorization-inference-and-parameter-learning-in-discrete-amp-chain-graphs-1501.06727</loc><lastmod>2015-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factorization-inference-and-parameter-learning-in-discrete-amp-chain-graphs-1501.06727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factorization-inference-and-parameter-learning-in-discrete-amp-chain-graphs-1501.06727"/></url>
<url><loc>https://scifaro.com/en/abs/particle-gibbs-with-ancestor-sampling-for-probabilistic-programs-1501.06769</loc><lastmod>2015-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-gibbs-with-ancestor-sampling-for-probabilistic-programs-1501.06769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-gibbs-with-ancestor-sampling-for-probabilistic-programs-1501.06769"/></url>
<url><loc>https://scifaro.com/en/abs/computing-functions-of-random-variables-via-reproducing-kernel-hilbert-space-representations-1501.06794</loc><lastmod>2016-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-functions-of-random-variables-via-reproducing-kernel-hilbert-space-representations-1501.06794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-functions-of-random-variables-via-reproducing-kernel-hilbert-space-representations-1501.06794"/></url>
<url><loc>https://scifaro.com/en/abs/a-probabilistic-least-mean-squares-filter-1501.06929</loc><lastmod>2016-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probabilistic-least-mean-squares-filter-1501.06929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probabilistic-least-mean-squares-filter-1501.06929"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-hierarchical-clustering-with-exponential-family-small-variance-asymptotics-and-reducibility-1501.07430</loc><lastmod>2015-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-hierarchical-clustering-with-exponential-family-small-variance-asymptotics-and-reducibility-1501.07430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-hierarchical-clustering-with-exponential-family-small-variance-asymptotics-and-reducibility-1501.07430"/></url>
<url><loc>https://scifaro.com/en/abs/confidence-intervals-for-ab-test-1501.07768</loc><lastmod>2015-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidence-intervals-for-ab-test-1501.07768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidence-intervals-for-ab-test-1501.07768"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-intelligence-based-approach-for-computer-aided-diagnosis-of-dengue-fever-1502.00062</loc><lastmod>2015-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-intelligence-based-approach-for-computer-aided-diagnosis-of-dengue-fever-1502.00062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-intelligence-based-approach-for-computer-aided-diagnosis-of-dengue-fever-1502.00062"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-of-fmri-big-data-a-novel-approach-to-subject-transfer-decoding-1502.00093</loc><lastmod>2015-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-of-fmri-big-data-a-novel-approach-to-subject-transfer-decoding-1502.00093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-of-fmri-big-data-a-novel-approach-to-subject-transfer-decoding-1502.00093"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-dueling-bandits-1502.00133</loc><lastmod>2015-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-dueling-bandits-1502.00133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-dueling-bandits-1502.00133"/></url>
<url><loc>https://scifaro.com/en/abs/an-evaluation-framework-for-event-detection-using-a-morphological-model-of-acoustic-scenes-1502.00141</loc><lastmod>2015-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-evaluation-framework-for-event-detection-using-a-morphological-model-of-acoustic-scenes-1502.00141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-evaluation-framework-for-event-detection-using-a-morphological-model-of-acoustic-scenes-1502.00141"/></url>
<url><loc>https://scifaro.com/en/abs/cheaper-and-better-selecting-good-workers-for-crowdsourcing-1502.00725</loc><lastmod>2015-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cheaper-and-better-selecting-good-workers-for-crowdsourcing-1502.00725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cheaper-and-better-selecting-good-workers-for-crowdsourcing-1502.00725"/></url>
<url><loc>https://scifaro.com/en/abs/laplacian-mixture-modeling-for-network-analysis-and-unsupervised-learning-on-graphs-1502.00727</loc><lastmod>2018-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/laplacian-mixture-modeling-for-network-analysis-and-unsupervised-learning-on-graphs-1502.00727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/laplacian-mixture-modeling-for-network-analysis-and-unsupervised-learning-on-graphs-1502.00727"/></url>
<url><loc>https://scifaro.com/en/abs/learning-planar-ising-models-1502.00916</loc><lastmod>2015-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-planar-ising-models-1502.00916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-planar-ising-models-1502.00916"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-task-driven-dictionary-learning-for-image-classification-1502.01094</loc><lastmod>2016-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-task-driven-dictionary-learning-for-image-classification-1502.01094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-task-driven-dictionary-learning-for-image-classification-1502.01094"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-representation-classification-beyond-l1-minimization-and-the-subspace-assumption-1502.01368</loc><lastmod>2024-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-representation-classification-beyond-l1-minimization-and-the-subspace-assumption-1502.01368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-representation-classification-beyond-l1-minimization-and-the-subspace-assumption-1502.01368"/></url>
<url><loc>https://scifaro.com/en/abs/provable-sparse-tensor-decomposition-1502.01425</loc><lastmod>2016-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-sparse-tensor-decomposition-1502.01425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-sparse-tensor-decomposition-1502.01425"/></url>
<url><loc>https://scifaro.com/en/abs/a-mixture-cox-logistic-model-for-feature-selection-from-survival-and-classification-data-1502.01493</loc><lastmod>2015-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-mixture-cox-logistic-model-for-feature-selection-from-survival-and-classification-data-1502.01493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-mixture-cox-logistic-model-for-feature-selection-from-survival-and-classification-data-1502.01493"/></url>
<url><loc>https://scifaro.com/en/abs/a-partan-accelerated-frank-wolfe-algorithm-for-large-scale-svm-classification-1502.01563</loc><lastmod>2015-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-partan-accelerated-frank-wolfe-algorithm-for-large-scale-svm-classification-1502.01563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-partan-accelerated-frank-wolfe-algorithm-for-large-scale-svm-classification-1502.01563"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-optimal-active-learning-via-model-retraining-improvement-1502.01664</loc><lastmod>2015-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-optimal-active-learning-via-model-retraining-improvement-1502.01664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-optimal-active-learning-via-model-retraining-improvement-1502.01664"/></url>
<url><loc>https://scifaro.com/en/abs/on-anomaly-ranking-and-excess-mass-curves-1502.01684</loc><lastmod>2015-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-anomaly-ranking-and-excess-mass-curves-1502.01684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-anomaly-ranking-and-excess-mass-curves-1502.01684"/></url>
<url><loc>https://scifaro.com/en/abs/marginalizing-gaussian-process-hyperparameters-using-sequential-monte-carlo-1502.01908</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marginalizing-gaussian-process-hyperparameters-using-sequential-monte-carlo-1502.01908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marginalizing-gaussian-process-hyperparameters-using-sequential-monte-carlo-1502.01908"/></url>
<url><loc>https://scifaro.com/en/abs/active-function-cross-entropy-clustering-1502.01943</loc><lastmod>2015-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-function-cross-entropy-clustering-1502.01943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-function-cross-entropy-clustering-1502.01943"/></url>
<url><loc>https://scifaro.com/en/abs/massively-multitask-networks-for-drug-discovery-1502.02072</loc><lastmod>2015-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/massively-multitask-networks-for-drug-discovery-1502.02072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/massively-multitask-networks-for-drug-discovery-1502.02072"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-training-for-convolved-multiple-output-gaussian-processes-1502.02089</loc><lastmod>2015-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-training-for-convolved-multiple-output-gaussian-processes-1502.02089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-training-for-convolved-multiple-output-gaussian-processes-1502.02089"/></url>
<url><loc>https://scifaro.com/en/abs/from-pixels-to-torques-policy-learning-with-deep-dynamical-models-1502.02251</loc><lastmod>2015-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-pixels-to-torques-policy-learning-with-deep-dynamical-models-1502.02251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-pixels-to-torques-policy-learning-with-deep-dynamical-models-1502.02251"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-markov-decision-processes-1502.02259</loc><lastmod>2015-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-markov-decision-processes-1502.02259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-markov-decision-processes-1502.02259"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-the-functional-connectome-on-the-fly-towards-a-new-control-signal-for-fmri-based-brain-computer-interfaces-1502.02309</loc><lastmod>2016-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-the-functional-connectome-on-the-fly-towards-a-new-control-signal-for-fmri-based-brain-computer-interfaces-1502.02309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-the-functional-connectome-on-the-fly-towards-a-new-control-signal-for-fmri-based-brain-computer-interfaces-1502.02309"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-canonical-correlation-analysis-for-multi-view-dimension-reduction-1502.02330</loc><lastmod>2015-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-canonical-correlation-analysis-for-multi-view-dimension-reduction-1502.02330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-canonical-correlation-analysis-for-multi-view-dimension-reduction-1502.02330"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-path-of-cross-validation-error-lower-bounds-1502.02344</loc><lastmod>2015-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-path-of-cross-validation-error-lower-bounds-1502.02344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-path-of-cross-validation-error-lower-bounds-1502.02344"/></url>
<url><loc>https://scifaro.com/en/abs/local-and-global-inference-for-high-dimensional-nonparanormal-graphical-models-1502.02347</loc><lastmod>2015-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-and-global-inference-for-high-dimensional-nonparanormal-graphical-models-1502.02347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-and-global-inference-for-high-dimensional-nonparanormal-graphical-models-1502.02347"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-learning-theory-of-cause-effect-inference-1502.02398</loc><lastmod>2015-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-learning-theory-of-cause-effect-inference-1502.02398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-learning-theory-of-cause-effect-inference-1502.02398"/></url>
<url><loc>https://scifaro.com/en/abs/k2-abc-approximate-bayesian-computation-with-kernel-embeddings-1502.02558</loc><lastmod>2015-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k2-abc-approximate-bayesian-computation-with-kernel-embeddings-1502.02558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k2-abc-approximate-bayesian-computation-with-kernel-embeddings-1502.02558"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-gaussian-processes-1502.02843</loc><lastmod>2015-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-gaussian-processes-1502.02843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-gaussian-processes-1502.02843"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-processes-for-data-efficient-learning-in-robotics-and-control-1502.02860</loc><lastmod>2017-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-processes-for-data-efficient-learning-in-robotics-and-control-1502.02860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-processes-for-data-efficient-learning-in-robotics-and-control-1502.02860"/></url>
<url><loc>https://scifaro.com/en/abs/functional-gaussian-process-model-for-bayesian-nonparametric-analysis-1502.03042</loc><lastmod>2015-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-gaussian-process-model-for-bayesian-nonparametric-analysis-1502.03042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-gaussian-process-model-for-bayesian-nonparametric-analysis-1502.03042"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-task-driven-dictionary-learning-for-hyperspectral-image-classification-1502.03126</loc><lastmod>2015-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-task-driven-dictionary-learning-for-hyperspectral-image-classification-1502.03126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-task-driven-dictionary-learning-for-hyperspectral-image-classification-1502.03126"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-algorithms-in-statistics-and-machine-learning-1502.03175</loc><lastmod>2015-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-algorithms-in-statistics-and-machine-learning-1502.03175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-algorithms-in-statistics-and-machine-learning-1502.03175"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-evaluation-for-mdps-with-unknown-structure-1502.03255</loc><lastmod>2015-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-evaluation-for-mdps-with-unknown-structure-1502.03255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-evaluation-for-mdps-with-unknown-structure-1502.03255"/></url>
<url><loc>https://scifaro.com/en/abs/reconstruction-in-the-labeled-stochastic-block-model-1502.03365</loc><lastmod>2015-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconstruction-in-the-labeled-stochastic-block-model-1502.03365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconstruction-in-the-labeled-stochastic-block-model-1502.03365"/></url>
<url><loc>https://scifaro.com/en/abs/fast-embedding-for-jofc-using-the-raw-stress-criterion-1502.03391</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-embedding-for-jofc-using-the-raw-stress-criterion-1502.03391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-embedding-for-jofc-using-the-raw-stress-criterion-1502.03391"/></url>
<url><loc>https://scifaro.com/en/abs/variable-and-fixed-interval-exponential-smoothing-1502.03465</loc><lastmod>2015-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-and-fixed-interval-exponential-smoothing-1502.03465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-and-fixed-interval-exponential-smoothing-1502.03465"/></url>
<url><loc>https://scifaro.com/en/abs/dependent-mat-ern-processes-for-multivariate-time-series-1502.03466</loc><lastmod>2015-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dependent-mat-ern-processes-for-multivariate-time-series-1502.03466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dependent-mat-ern-processes-for-multivariate-time-series-1502.03466"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-show-a-probabilistic-model-is-better-1502.03491</loc><lastmod>2015-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-show-a-probabilistic-model-is-better-1502.03491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-show-a-probabilistic-model-is-better-1502.03491"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-based-hyperparameter-optimization-through-reversible-learning-1502.03492</loc><lastmod>2015-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-based-hyperparameter-optimization-through-reversible-learning-1502.03492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-based-hyperparameter-optimization-through-reversible-learning-1502.03492"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-planning-method-estimates-planning-horizons-during-interactive-social-exchange-1502.03696</loc><lastmod>2015-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-planning-method-estimates-planning-horizons-during-interactive-social-exchange-1502.03696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-planning-method-estimates-planning-horizons-during-interactive-social-exchange-1502.03696"/></url>
<url><loc>https://scifaro.com/en/abs/a-linear-dynamical-system-model-for-text-1502.04081</loc><lastmod>2015-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-linear-dynamical-system-model-for-text-1502.04081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-linear-dynamical-system-model-for-text-1502.04081"/></url>
<url><loc>https://scifaro.com/en/abs/supersparse-linear-integer-models-for-optimized-medical-scoring-systems-1502.04269</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supersparse-linear-integer-models-for-optimized-medical-scoring-systems-1502.04269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supersparse-linear-integer-models-for-optimized-medical-scoring-systems-1502.04269"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-memory-efficient-significant-pattern-mining-via-permutation-testing-1502.04315</loc><lastmod>2015-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-memory-efficient-significant-pattern-mining-via-permutation-testing-1502.04315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-memory-efficient-significant-pattern-mining-via-permutation-testing-1502.04315"/></url>
<url><loc>https://scifaro.com/en/abs/random-subspace-learning-approach-to-high-dimensional-outliers-detection-1502.04416</loc><lastmod>2015-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-subspace-learning-approach-to-high-dimensional-outliers-detection-1502.04416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-subspace-learning-approach-to-high-dimensional-outliers-detection-1502.04416"/></url>
<url><loc>https://scifaro.com/en/abs/invariant-backpropagation-how-to-train-a-transformation-invariant-neural-network-1502.04434</loc><lastmod>2016-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invariant-backpropagation-how-to-train-a-transformation-invariant-neural-network-1502.04434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invariant-backpropagation-how-to-train-a-transformation-invariant-neural-network-1502.04434"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-by-descending-to-the-nearest-neighbor-in-the-delaunay-graph-space-1502.04502</loc><lastmod>2015-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-by-descending-to-the-nearest-neighbor-in-the-delaunay-graph-space-1502.04502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-by-descending-to-the-nearest-neighbor-in-the-delaunay-graph-space-1502.04502"/></url>
<url><loc>https://scifaro.com/en/abs/particle-gibbs-for-bayesian-additive-regression-trees-1502.04622</loc><lastmod>2015-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-gibbs-for-bayesian-additive-regression-trees-1502.04622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-gibbs-for-bayesian-additive-regression-trees-1502.04622"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-and-inference-from-pairwise-comparisons-1502.04631</loc><lastmod>2015-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-and-inference-from-pairwise-comparisons-1502.04631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-and-inference-from-pairwise-comparisons-1502.04631"/></url>
<url><loc>https://scifaro.com/en/abs/icr-iterative-convex-refinement-for-sparse-signal-recovery-using-spike-and-slab-priors-1502.04726</loc><lastmod>2015-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/icr-iterative-convex-refinement-for-sparse-signal-recovery-using-spike-and-slab-priors-1502.04726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/icr-iterative-convex-refinement-for-sparse-signal-recovery-using-spike-and-slab-priors-1502.04726"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-predictive-properties-of-binary-link-functions-1502.04742</loc><lastmod>2015-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-predictive-properties-of-binary-link-functions-1502.04742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-predictive-properties-of-binary-link-functions-1502.04742"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-nearest-neighbor-descent-clustering-based-on-delaunay-triangulation-1502.04837</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-nearest-neighbor-descent-clustering-based-on-delaunay-triangulation-1502.04837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-nearest-neighbor-descent-clustering-based-on-delaunay-triangulation-1502.04837"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-sampling-technique-for-tensors-1502.05023</loc><lastmod>2015-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-sampling-technique-for-tensors-1502.05023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-sampling-technique-for-tensors-1502.05023"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-entropy-search-for-bayesian-optimization-with-unknown-constraints-1502.05312</loc><lastmod>2015-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-entropy-search-for-bayesian-optimization-with-unknown-constraints-1502.05312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-entropy-search-for-bayesian-optimization-with-unknown-constraints-1502.05312"/></url>
<url><loc>https://scifaro.com/en/abs/variational-optimization-of-annealing-schedules-1502.05313</loc><lastmod>2015-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-optimization-of-annealing-schedules-1502.05313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-optimization-of-annealing-schedules-1502.05313"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-backpropagation-for-scalable-learning-of-bayesian-neural-networks-1502.05336</loc><lastmod>2015-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-backpropagation-for-scalable-learning-of-bayesian-neural-networks-1502.05336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-backpropagation-for-scalable-learning-of-bayesian-neural-networks-1502.05336"/></url>
<url><loc>https://scifaro.com/en/abs/just-sort-it-a-simple-and-effective-approach-to-active-preference-learning-1502.05556</loc><lastmod>2017-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/just-sort-it-a-simple-and-effective-approach-to-active-preference-learning-1502.05556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/just-sort-it-a-simple-and-effective-approach-to-active-preference-learning-1502.05556"/></url>
<url><loc>https://scifaro.com/en/abs/finding-one-community-in-a-sparse-graph-1502.05680</loc><lastmod>2015-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-one-community-in-a-sparse-graph-1502.05680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-one-community-in-a-sparse-graph-1502.05680"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-bayesian-optimization-using-deep-neural-networks-1502.05700</loc><lastmod>2015-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-bayesian-optimization-using-deep-neural-networks-1502.05700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-bayesian-optimization-using-deep-neural-networks-1502.05700"/></url>
<url><loc>https://scifaro.com/en/abs/feature-budgeted-random-forest-1502.05925</loc><lastmod>2015-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-budgeted-random-forest-1502.05925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-budgeted-random-forest-1502.05925"/></url>
<url><loc>https://scifaro.com/en/abs/miljs-brand-new-javascript-libraries-for-matrix-calculation-and-machine-learning-1502.06064</loc><lastmod>2015-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/miljs-brand-new-javascript-libraries-for-matrix-calculation-and-machine-learning-1502.06064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/miljs-brand-new-javascript-libraries-for-matrix-calculation-and-machine-learning-1502.06064"/></url>
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<url><loc>https://scifaro.com/en/abs/two-stage-sampling-prediction-and-adaptive-regression-via-correlation-screening-sparcs-1502.06189</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-stage-sampling-prediction-and-adaptive-regression-via-correlation-screening-sparcs-1502.06189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-stage-sampling-prediction-and-adaptive-regression-via-correlation-screening-sparcs-1502.06189"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-differential-privacy-stability-learnability-and-the-sufficiency-and-necessity-of-erm-principle-1502.06309</loc><lastmod>2016-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-differential-privacy-stability-learnability-and-the-sufficiency-and-necessity-of-erm-principle-1502.06309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-differential-privacy-stability-learnability-and-the-sufficiency-and-necessity-of-erm-principle-1502.06309"/></url>
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<url><loc>https://scifaro.com/en/abs/1-bit-matrix-completion-under-exact-low-rank-constraint-1502.06689</loc><lastmod>2015-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/1-bit-matrix-completion-under-exact-low-rank-constraint-1502.06689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/1-bit-matrix-completion-under-exact-low-rank-constraint-1502.06689"/></url>
<url><loc>https://scifaro.com/en/abs/on-convolutional-approximations-to-linear-dimensionality-reduction-operators-for-large-scale-data-processing-1502.07017</loc><lastmod>2015-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-convolutional-approximations-to-linear-dimensionality-reduction-operators-for-large-scale-data-processing-1502.07017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-convolutional-approximations-to-linear-dimensionality-reduction-operators-for-large-scale-data-processing-1502.07017"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-the-kullback-leibler-divergence-for-the-von-mises-fisher-distribution-1502.07104</loc><lastmod>2015-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-the-kullback-leibler-divergence-for-the-von-mises-fisher-distribution-1502.07104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-the-kullback-leibler-divergence-for-the-von-mises-fisher-distribution-1502.07104"/></url>
<url><loc>https://scifaro.com/en/abs/topic-adjusted-visibility-metric-for-scientific-articles-1502.07190</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topic-adjusted-visibility-metric-for-scientific-articles-1502.07190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topic-adjusted-visibility-metric-for-scientific-articles-1502.07190"/></url>
<url><loc>https://scifaro.com/en/abs/online-pairwise-learning-algorithms-with-kernels-1502.07229</loc><lastmod>2015-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-pairwise-learning-algorithms-with-kernels-1502.07229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-pairwise-learning-algorithms-with-kernels-1502.07229"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-multivariate-factor-regression-1502.07334</loc><lastmod>2016-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-multivariate-factor-regression-1502.07334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-multivariate-factor-regression-1502.07334"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-for-free-posterior-sampling-and-stochastic-gradient-monte-carlo-1502.07645</loc><lastmod>2015-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-for-free-posterior-sampling-and-stochastic-gradient-monte-carlo-1502.07645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-for-free-posterior-sampling-and-stochastic-gradient-monte-carlo-1502.07645"/></url>
<url><loc>https://scifaro.com/en/abs/covariance-matrices-and-influence-scores-for-mean-field-variational-bayes-1502.07685</loc><lastmod>2015-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covariance-matrices-and-influence-scores-for-mean-field-variational-bayes-1502.07685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covariance-matrices-and-influence-scores-for-mean-field-variational-bayes-1502.07685"/></url>
<url><loc>https://scifaro.com/en/abs/a-chaining-algorithm-for-online-nonparametric-regression-1502.07697</loc><lastmod>2015-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-chaining-algorithm-for-online-nonparametric-regression-1502.07697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-chaining-algorithm-for-online-nonparametric-regression-1502.07697"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-exact-cluster-recovery-threshold-via-semidefinite-programming-extensions-1502.07738</loc><lastmod>2016-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-exact-cluster-recovery-threshold-via-semidefinite-programming-extensions-1502.07738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-exact-cluster-recovery-threshold-via-semidefinite-programming-extensions-1502.07738"/></url>
<url><loc>https://scifaro.com/en/abs/describing-videos-by-exploiting-temporal-structure-1502.08029</loc><lastmod>2015-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/describing-videos-by-exploiting-temporal-structure-1502.08029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/describing-videos-by-exploiting-temporal-structure-1502.08029"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-learning-sets-benchmark-for-robust-spike-detection-from-calcium-imaging-signals-1503.00135</loc><lastmod>2015-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-learning-sets-benchmark-for-robust-spike-detection-from-calcium-imaging-signals-1503.00135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-learning-sets-benchmark-for-robust-spike-detection-from-calcium-imaging-signals-1503.00135"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-crowdsourced-sampling-strategies-for-hodgerank-with-sparse-random-graphs-1503.00164</loc><lastmod>2016-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-crowdsourced-sampling-strategies-for-hodgerank-with-sparse-random-graphs-1503.00164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-crowdsourced-sampling-strategies-for-hodgerank-with-sparse-random-graphs-1503.00164"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-completion-with-noisy-entries-and-outliers-1503.00214</loc><lastmod>2017-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-completion-with-noisy-entries-and-outliers-1503.00214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-completion-with-noisy-entries-and-outliers-1503.00214"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-pessimistic-likelihood-estimation-for-semi-supervised-classification-1503.00269</loc><lastmod>2015-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-pessimistic-likelihood-estimation-for-semi-supervised-classification-1503.00269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-pessimistic-likelihood-estimation-for-semi-supervised-classification-1503.00269"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-approximation-of-a-kernel-mean-1503.00323</loc><lastmod>2015-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-approximation-of-a-kernel-mean-1503.00323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-approximation-of-a-kernel-mean-1503.00323"/></url>
<url><loc>https://scifaro.com/en/abs/jump-means-small-variance-asymptotics-for-markov-jump-processes-1503.00332</loc><lastmod>2015-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jump-means-small-variance-asymptotics-for-markov-jump-processes-1503.00332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jump-means-small-variance-asymptotics-for-markov-jump-processes-1503.00332"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-relational-machine-learning-for-knowledge-graphs-1503.00759</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-relational-machine-learning-for-knowledge-graphs-1503.00759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-relational-machine-learning-for-knowledge-graphs-1503.00759"/></url>
<url><loc>https://scifaro.com/en/abs/the-bayesian-case-model-a-generative-approach-for-case-based-reasoning-and-prototype-classification-1503.01161</loc><lastmod>2019-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-bayesian-case-model-a-generative-approach-for-case-based-reasoning-and-prototype-classification-1503.01161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-bayesian-case-model-a-generative-approach-for-case-based-reasoning-and-prototype-classification-1503.01161"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-hybrid-clustering-technique-1503.01183</loc><lastmod>2015-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-hybrid-clustering-technique-1503.01183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-hybrid-clustering-technique-1503.01183"/></url>
<url><loc>https://scifaro.com/en/abs/a-differential-equation-for-modeling-nesterov-s-accelerated-gradient-method-theory-and-insights-1503.01243</loc><lastmod>2015-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-differential-equation-for-modeling-nesterov-s-accelerated-gradient-method-theory-and-insights-1503.01243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-differential-equation-for-modeling-nesterov-s-accelerated-gradient-method-theory-and-insights-1503.01243"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-multi-view-matrix-factorisation-a-multivariate-approach-to-multiple-tissue-comparisons-1503.01291</loc><lastmod>2015-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-multi-view-matrix-factorisation-a-multivariate-approach-to-multiple-tissue-comparisons-1503.01291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-multi-view-matrix-factorisation-a-multivariate-approach-to-multiple-tissue-comparisons-1503.01291"/></url>
<url><loc>https://scifaro.com/en/abs/bethe-projections-for-non-local-inference-1503.01397</loc><lastmod>2016-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bethe-projections-for-non-local-inference-1503.01397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bethe-projections-for-non-local-inference-1503.01397"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-uncertainty-in-stochastic-models-with-parametric-variability-1503.01401</loc><lastmod>2015-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-uncertainty-in-stochastic-models-with-parametric-variability-1503.01401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-uncertainty-in-stochastic-models-with-parametric-variability-1503.01401"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-limits-of-convex-relaxations-1503.01442</loc><lastmod>2015-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-limits-of-convex-relaxations-1503.01442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-limits-of-convex-relaxations-1503.01442"/></url>
<url><loc>https://scifaro.com/en/abs/toxicity-prediction-using-deep-learning-1503.01445</loc><lastmod>2015-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toxicity-prediction-using-deep-learning-1503.01445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toxicity-prediction-using-deep-learning-1503.01445"/></url>
<url><loc>https://scifaro.com/en/abs/local-expectation-gradients-for-doubly-stochastic-variational-inference-1503.01494</loc><lastmod>2015-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-expectation-gradients-for-doubly-stochastic-variational-inference-1503.01494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-expectation-gradients-for-doubly-stochastic-variational-inference-1503.01494"/></url>
<url><loc>https://scifaro.com/en/abs/jointly-learning-multiple-measures-of-similarities-from-triplet-comparisons-1503.01521</loc><lastmod>2015-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jointly-learning-multiple-measures-of-similarities-from-triplet-comparisons-1503.01521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jointly-learning-multiple-measures-of-similarities-from-triplet-comparisons-1503.01521"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-bayesian-optimisation-and-bandits-via-additive-models-1503.01673</loc><lastmod>2016-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-bayesian-optimisation-and-bandits-via-additive-models-1503.01673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-bayesian-optimisation-and-bandits-via-additive-models-1503.01673"/></url>
<url><loc>https://scifaro.com/en/abs/min-max-kernels-1503.01737</loc><lastmod>2015-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/min-max-kernels-1503.01737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/min-max-kernels-1503.01737"/></url>
<url><loc>https://scifaro.com/en/abs/hamiltonian-abc-1503.01916</loc><lastmod>2015-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hamiltonian-abc-1503.01916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hamiltonian-abc-1503.01916"/></url>
<url><loc>https://scifaro.com/en/abs/community-detection-and-classification-in-hierarchical-stochastic-blockmodels-1503.02115</loc><lastmod>2016-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/community-detection-and-classification-in-hierarchical-stochastic-blockmodels-1503.02115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/community-detection-and-classification-in-hierarchical-stochastic-blockmodels-1503.02115"/></url>
<url><loc>https://scifaro.com/en/abs/latent-gaussian-processes-for-distribution-estimation-of-multivariate-categorical-data-1503.02182</loc><lastmod>2015-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-gaussian-processes-for-distribution-estimation-of-multivariate-categorical-data-1503.02182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-gaussian-processes-for-distribution-estimation-of-multivariate-categorical-data-1503.02182"/></url>
<url><loc>https://scifaro.com/en/abs/higher-order-matching-pursuit-for-low-rank-tensor-learning-1503.02216</loc><lastmod>2015-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/higher-order-matching-pursuit-for-low-rank-tensor-learning-1503.02216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/higher-order-matching-pursuit-for-low-rank-tensor-learning-1503.02216"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-gaussian-process-sparse-spectrum-approximation-by-representing-uncertainty-in-frequency-inputs-1503.02424</loc><lastmod>2015-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-gaussian-process-sparse-spectrum-approximation-by-representing-uncertainty-in-frequency-inputs-1503.02424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-gaussian-process-sparse-spectrum-approximation-by-representing-uncertainty-in-frequency-inputs-1503.02424"/></url>
<url><loc>https://scifaro.com/en/abs/distilling-the-knowledge-in-a-neural-network-1503.02531</loc><lastmod>2015-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distilling-the-knowledge-in-a-neural-network-1503.02531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distilling-the-knowledge-in-a-neural-network-1503.02531"/></url>
<url><loc>https://scifaro.com/en/abs/a-smoothed-dual-approach-for-variational-wasserstein-problems-1503.02533</loc><lastmod>2015-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-smoothed-dual-approach-for-variational-wasserstein-problems-1503.02533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-smoothed-dual-approach-for-variational-wasserstein-problems-1503.02533"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-based-just-in-time-learning-for-passing-expectation-propagation-messages-1503.02551</loc><lastmod>2015-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-based-just-in-time-learning-for-passing-expectation-propagation-messages-1503.02551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-based-just-in-time-learning-for-passing-expectation-propagation-messages-1503.02551"/></url>
<url><loc>https://scifaro.com/en/abs/a-characterization-of-deterministic-sampling-patterns-for-low-rank-matrix-completion-1503.02596</loc><lastmod>2016-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-characterization-of-deterministic-sampling-patterns-for-low-rank-matrix-completion-1503.02596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-characterization-of-deterministic-sampling-patterns-for-low-rank-matrix-completion-1503.02596"/></url>
<url><loc>https://scifaro.com/en/abs/graphical-exponential-screening-1503.02698</loc><lastmod>2016-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphical-exponential-screening-1503.02698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphical-exponential-screening-1503.02698"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-online-hdp-hmm-for-segmentation-and-classification-of-sequential-data-1503.02761</loc><lastmod>2015-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-online-hdp-hmm-for-segmentation-and-classification-of-sequential-data-1503.02761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-online-hdp-hmm-for-segmentation-and-classification-of-sequential-data-1503.02761"/></url>
<url><loc>https://scifaro.com/en/abs/novel-bernstein-like-concentration-inequalities-for-the-missing-mass-1503.02768</loc><lastmod>2015-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/novel-bernstein-like-concentration-inequalities-for-the-missing-mass-1503.02768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/novel-bernstein-like-concentration-inequalities-for-the-missing-mass-1503.02768"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-meets-sieve-post-regularization-confidence-bands-for-sparse-additive-model-1503.02978</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-meets-sieve-post-regularization-confidence-bands-for-sparse-additive-model-1503.02978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-meets-sieve-post-regularization-confidence-bands-for-sparse-additive-model-1503.02978"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-structure-for-structured-sparsity-1503.03082</loc><lastmod>2015-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-structure-for-structured-sparsity-1503.03082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-structure-for-structured-sparsity-1503.03082"/></url>
<url><loc>https://scifaro.com/en/abs/l-1-regularized-boltzmann-machine-learning-using-majorizer-minimization-1503.03132</loc><lastmod>2015-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l-1-regularized-boltzmann-machine-learning-using-majorizer-minimization-1503.03132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l-1-regularized-boltzmann-machine-learning-using-majorizer-minimization-1503.03132"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-unsupervised-tensor-mining-with-quality-assessment-1503.03355</loc><lastmod>2015-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-unsupervised-tensor-mining-with-quality-assessment-1503.03355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-unsupervised-tensor-mining-with-quality-assessment-1503.03355"/></url>
<url><loc>https://scifaro.com/en/abs/describing-and-understanding-neighborhood-characteristics-through-online-social-media-1503.03524</loc><lastmod>2015-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/describing-and-understanding-neighborhood-characteristics-through-online-social-media-1503.03524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/describing-and-understanding-neighborhood-characteristics-through-online-social-media-1503.03524"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-impossibility-of-learning-the-missing-mass-1503.03613</loc><lastmod>2015-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-impossibility-of-learning-the-missing-mass-1503.03613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-impossibility-of-learning-the-missing-mass-1503.03613"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-learning-of-grids-of-microtopics-1503.03701</loc><lastmod>2016-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-learning-of-grids-of-microtopics-1503.03701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-learning-of-grids-of-microtopics-1503.03701"/></url>
<url><loc>https://scifaro.com/en/abs/compact-nonlinear-maps-and-circulant-extensions-1503.03893</loc><lastmod>2015-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compact-nonlinear-maps-and-circulant-extensions-1503.03893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compact-nonlinear-maps-and-circulant-extensions-1503.03893"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-sparse-regression-a-one-shot-approach-1503.04337</loc><lastmod>2015-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-sparse-regression-a-one-shot-approach-1503.04337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-sparse-regression-a-one-shot-approach-1503.04337"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-estimation-and-clustering-of-group-invariant-orientation-parameters-1503.04474</loc><lastmod>2015-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-estimation-and-clustering-of-group-invariant-orientation-parameters-1503.04474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-estimation-and-clustering-of-group-invariant-orientation-parameters-1503.04474"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-quadratic-classifiers-in-non-sparse-settings-1503.04549</loc><lastmod>2015-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-quadratic-classifiers-in-non-sparse-settings-1503.04549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-quadratic-classifiers-in-non-sparse-settings-1503.04549"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-analysis-of-loopy-belief-propagation-in-random-fields-1503.04585</loc><lastmod>2015-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-analysis-of-loopy-belief-propagation-in-random-fields-1503.04585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-analysis-of-loopy-belief-propagation-in-random-fields-1503.04585"/></url>
<url><loc>https://scifaro.com/en/abs/differentiating-the-multipoint-expected-improvement-for-optimal-batch-design-1503.05509</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiating-the-multipoint-expected-improvement-for-optimal-batch-design-1503.05509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiating-the-multipoint-expected-improvement-for-optimal-batch-design-1503.05509"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-aircraft-engine-diagnostic-via-expert-indicator-aggregation-1503.05526</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-aircraft-engine-diagnostic-via-expert-indicator-aggregation-1503.05526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-aircraft-engine-diagnostic-via-expert-indicator-aggregation-1503.05526"/></url>
<url><loc>https://scifaro.com/en/abs/the-knowledge-gradient-policy-using-a-sparse-additive-belief-model-1503.05567</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-knowledge-gradient-policy-using-a-sparse-additive-belief-model-1503.05567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-knowledge-gradient-policy-using-a-sparse-additive-belief-model-1503.05567"/></url>
<url><loc>https://scifaro.com/en/abs/non-parametric-bayesian-models-of-response-function-in-dynamic-image-sequences-1503.05684</loc><lastmod>2017-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-parametric-bayesian-models-of-response-function-in-dynamic-image-sequences-1503.05684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-parametric-bayesian-models-of-response-function-in-dynamic-image-sequences-1503.05684"/></url>
<url><loc>https://scifaro.com/en/abs/a-neural-transfer-function-for-a-smooth-and-differentiable-transition-between-additive-and-multiplicative-interactions-1503.05724</loc><lastmod>2016-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-neural-transfer-function-for-a-smooth-and-differentiable-transition-between-additive-and-multiplicative-interactions-1503.05724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-neural-transfer-function-for-a-smooth-and-differentiable-transition-between-additive-and-multiplicative-interactions-1503.05724"/></url>
<url><loc>https://scifaro.com/en/abs/a-bennett-inequality-for-the-missing-mass-1503.06134</loc><lastmod>2015-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bennett-inequality-for-the-missing-mass-1503.06134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bennett-inequality-for-the-missing-mass-1503.06134"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-estimation-of-band-limited-probability-density-functions-1503.06236</loc><lastmod>2015-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-estimation-of-band-limited-probability-density-functions-1503.06236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-estimation-of-band-limited-probability-density-functions-1503.06236"/></url>
<url><loc>https://scifaro.com/en/abs/fast-imbalanced-classification-of-healthcare-data-with-missing-values-1503.06250</loc><lastmod>2015-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-imbalanced-classification-of-healthcare-data-with-missing-values-1503.06250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-imbalanced-classification-of-healthcare-data-with-missing-values-1503.06250"/></url>
<url><loc>https://scifaro.com/en/abs/asymmetric-distributions-from-constrained-mixtures-1503.06429</loc><lastmod>2015-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymmetric-distributions-from-constrained-mixtures-1503.06429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymmetric-distributions-from-constrained-mixtures-1503.06429"/></url>
<url><loc>https://scifaro.com/en/abs/indian-buffet-process-for-model-selection-in-convolved-multiple-output-gaussian-processes-1503.06432</loc><lastmod>2015-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/indian-buffet-process-for-model-selection-in-convolved-multiple-output-gaussian-processes-1503.06432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/indian-buffet-process-for-model-selection-in-convolved-multiple-output-gaussian-processes-1503.06432"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayesian-theorems-for-domain-adaptation-with-specialization-to-linear-classifiers-1503.06944</loc><lastmod>2016-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayesian-theorems-for-domain-adaptation-with-specialization-to-linear-classifiers-1503.06944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayesian-theorems-for-domain-adaptation-with-specialization-to-linear-classifiers-1503.06944"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-classification-models-for-recidivism-prediction-1503.07810</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-classification-models-for-recidivism-prediction-1503.07810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-classification-models-for-recidivism-prediction-1503.07810"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-a-common-covariance-matrix-for-network-meta-analysis-of-gene-expression-datasets-in-diffuse-large-b-cell-lymphoma-1503.07990</loc><lastmod>2017-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-a-common-covariance-matrix-for-network-meta-analysis-of-gene-expression-datasets-in-diffuse-large-b-cell-lymphoma-1503.07990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-a-common-covariance-matrix-for-network-meta-analysis-of-gene-expression-datasets-in-diffuse-large-b-cell-lymphoma-1503.07990"/></url>
<url><loc>https://scifaro.com/en/abs/risk-bounds-for-the-majority-vote-from-a-pac-bayesian-analysis-to-a-learning-algorithm-1503.08329</loc><lastmod>2015-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-bounds-for-the-majority-vote-from-a-pac-bayesian-analysis-to-a-learning-algorithm-1503.08329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-bounds-for-the-majority-vote-from-a-pac-bayesian-analysis-to-a-learning-algorithm-1503.08329"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-linear-regression-with-missing-data-1503.08348</loc><lastmod>2015-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-linear-regression-with-missing-data-1503.08348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-linear-regression-with-missing-data-1503.08348"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-online-minimization-for-low-rank-subspace-clustering-1503.08356</loc><lastmod>2017-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-online-minimization-for-low-rank-subspace-clustering-1503.08356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-online-minimization-for-low-rank-subspace-clustering-1503.08356"/></url>
<url><loc>https://scifaro.com/en/abs/active-model-aggregation-via-stochastic-mirror-descent-1503.08363</loc><lastmod>2015-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-model-aggregation-via-stochastic-mirror-descent-1503.08363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-model-aggregation-via-stochastic-mirror-descent-1503.08363"/></url>
<url><loc>https://scifaro.com/en/abs/cross-validation-of-matching-correlation-analysis-by-resampling-matching-weights-1503.08471</loc><lastmod>2015-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-validation-of-matching-correlation-analysis-by-resampling-matching-weights-1503.08471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-validation-of-matching-correlation-analysis-by-resampling-matching-weights-1503.08471"/></url>
<url><loc>https://scifaro.com/en/abs/infinite-author-topic-model-based-on-mixed-gamma-negative-binomial-process-1503.08535</loc><lastmod>2015-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infinite-author-topic-model-based-on-mixed-gamma-negative-binomial-process-1503.08535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infinite-author-topic-model-based-on-mixed-gamma-negative-binomial-process-1503.08535"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-relational-topic-models-through-dependent-gamma-processes-1503.08542</loc><lastmod>2015-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-relational-topic-models-through-dependent-gamma-processes-1503.08542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-relational-topic-models-through-dependent-gamma-processes-1503.08542"/></url>
<url><loc>https://scifaro.com/en/abs/a-parzen-based-distance-between-probability-measures-as-an-alternative-of-summary-statistics-in-approximate-bayesian-computation-1503.08727</loc><lastmod>2015-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-parzen-based-distance-between-probability-measures-as-an-alternative-of-summary-statistics-in-approximate-bayesian-computation-1503.08727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-parzen-based-distance-between-probability-measures-as-an-alternative-of-summary-statistics-in-approximate-bayesian-computation-1503.08727"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-regularization-for-learning-with-convex-loss-functions-1503.08985</loc><lastmod>2015-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-regularization-for-learning-with-convex-loss-functions-1503.08985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-regularization-for-learning-with-convex-loss-functions-1503.08985"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-classification-using-labels-as-hidden-nodes-1503.09022</loc><lastmod>2017-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-classification-using-labels-as-hidden-nodes-1503.09022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-classification-using-labels-as-hidden-nodes-1503.09022"/></url>
<url><loc>https://scifaro.com/en/abs/improved-error-bounds-based-on-worst-likely-assignments-1504.00052</loc><lastmod>2015-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-error-bounds-based-on-worst-likely-assignments-1504.00052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-error-bounds-based-on-worst-likely-assignments-1504.00052"/></url>
<url><loc>https://scifaro.com/en/abs/crowdsourcing-feature-discovery-via-adaptively-chosen-comparisons-1504.00064</loc><lastmod>2015-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crowdsourcing-feature-discovery-via-adaptively-chosen-comparisons-1504.00064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crowdsourcing-feature-discovery-via-adaptively-chosen-comparisons-1504.00064"/></url>
<url><loc>https://scifaro.com/en/abs/a-theory-of-feature-learning-1504.00083</loc><lastmod>2015-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theory-of-feature-learning-1504.00083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theory-of-feature-learning-1504.00083"/></url>
<url><loc>https://scifaro.com/en/abs/learning-in-the-presence-of-corruption-1504.00091</loc><lastmod>2015-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-in-the-presence-of-corruption-1504.00091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-in-the-presence-of-corruption-1504.00091"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-clustering-of-shapes-of-curves-1504.00377</loc><lastmod>2015-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-clustering-of-shapes-of-curves-1504.00377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-clustering-of-shapes-of-curves-1504.00377"/></url>
<url><loc>https://scifaro.com/en/abs/the-approximation-of-the-dissimilarity-projection-1504.00593</loc><lastmod>2015-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-approximation-of-the-dissimilarity-projection-1504.00593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-approximation-of-the-dissimilarity-projection-1504.00593"/></url>
<url><loc>https://scifaro.com/en/abs/structure-learning-of-partitioned-markov-networks-1504.00624</loc><lastmod>2016-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-learning-of-partitioned-markov-networks-1504.00624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-learning-of-partitioned-markov-networks-1504.00624"/></url>
<url><loc>https://scifaro.com/en/abs/a-probabilistic-theory-of-deep-learning-1504.00641</loc><lastmod>2015-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probabilistic-theory-of-deep-learning-1504.00641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probabilistic-theory-of-deep-learning-1504.00641"/></url>
<url><loc>https://scifaro.com/en/abs/point-localization-and-density-estimation-from-ordinal-knn-graphs-using-synchronization-1504.00722</loc><lastmod>2015-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/point-localization-and-density-estimation-from-ordinal-knn-graphs-using-synchronization-1504.00722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/point-localization-and-density-estimation-from-ordinal-knn-graphs-using-synchronization-1504.00722"/></url>
<url><loc>https://scifaro.com/en/abs/concept-drift-detection-for-streaming-data-1504.01044</loc><lastmod>2015-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concept-drift-detection-for-streaming-data-1504.01044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concept-drift-detection-for-streaming-data-1504.01044"/></url>
<url><loc>https://scifaro.com/en/abs/graph-connectivity-in-noisy-sparse-subspace-clustering-1504.01046</loc><lastmod>2016-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-connectivity-in-noisy-sparse-subspace-clustering-1504.01046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-connectivity-in-noisy-sparse-subspace-clustering-1504.01046"/></url>
<url><loc>https://scifaro.com/en/abs/recursive-partitioning-for-heterogeneous-causal-effects-1504.01132</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recursive-partitioning-for-heterogeneous-causal-effects-1504.01132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recursive-partitioning-for-heterogeneous-causal-effects-1504.01132"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-dictionary-learning-via-very-sparse-random-projections-1504.01169</loc><lastmod>2015-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-dictionary-learning-via-very-sparse-random-projections-1504.01169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-dictionary-learning-via-very-sparse-random-projections-1504.01169"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-convolutional-neural-networks-for-text-categorization-via-region-embedding-1504.01255</loc><lastmod>2015-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-convolutional-neural-networks-for-text-categorization-via-region-embedding-1504.01255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-convolutional-neural-networks-for-text-categorization-via-region-embedding-1504.01255"/></url>
<url><loc>https://scifaro.com/en/abs/early-stopping-is-nonparametric-variational-inference-1504.01344</loc><lastmod>2015-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-stopping-is-nonparametric-variational-inference-1504.01344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-stopping-is-nonparametric-variational-inference-1504.01344"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-approach-to-building-the-interindustry-input-output-table-1504.01362</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-approach-to-building-the-interindustry-input-output-table-1504.01362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-approach-to-building-the-interindustry-input-output-table-1504.01362"/></url>
<url><loc>https://scifaro.com/en/abs/from-averaging-to-acceleration-there-is-only-a-step-size-1504.01577</loc><lastmod>2015-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-averaging-to-acceleration-there-is-only-a-step-size-1504.01577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-averaging-to-acceleration-there-is-only-a-step-size-1504.01577"/></url>
<url><loc>https://scifaro.com/en/abs/local-vs-global-parameters-breaking-the-gaussian-complexity-barrier-1504.02191</loc><lastmod>2015-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-vs-global-parameters-breaking-the-gaussian-complexity-barrier-1504.02191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-vs-global-parameters-breaking-the-gaussian-complexity-barrier-1504.02191"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-manifold-alignment-1504.02338</loc><lastmod>2016-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-manifold-alignment-1504.02338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-manifold-alignment-1504.02338"/></url>
<url><loc>https://scifaro.com/en/abs/a-closed-form-approach-to-bayesian-inference-in-tree-structured-graphical-models-1504.02723</loc><lastmod>2017-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-closed-form-approach-to-bayesian-inference-in-tree-structured-graphical-models-1504.02723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-closed-form-approach-to-bayesian-inference-in-tree-structured-graphical-models-1504.02723"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-classification-for-brain-decoding-1504.02800</loc><lastmod>2015-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-classification-for-brain-decoding-1504.02800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-classification-for-brain-decoding-1504.02800"/></url>
<url><loc>https://scifaro.com/en/abs/quick-sensitivity-analysis-for-incremental-data-modification-and-its-application-to-leave-one-out-cv-in-linear-classification-problems-1504.02870</loc><lastmod>2015-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quick-sensitivity-analysis-for-incremental-data-modification-and-its-application-to-leave-one-out-cv-in-linear-classification-problems-1504.02870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quick-sensitivity-analysis-for-incremental-data-modification-and-its-application-to-leave-one-out-cv-in-linear-classification-problems-1504.02870"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-correntropy-for-robust-adaptive-filtering-1504.02931</loc><lastmod>2016-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-correntropy-for-robust-adaptive-filtering-1504.02931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-correntropy-for-robust-adaptive-filtering-1504.02931"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-randomized-dimension-reduction-on-massive-data-1504.03183</loc><lastmod>2015-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-randomized-dimension-reduction-on-massive-data-1504.03183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-randomized-dimension-reduction-on-massive-data-1504.03183"/></url>
<url><loc>https://scifaro.com/en/abs/hhcart-an-oblique-decision-tree-1504.03415</loc><lastmod>2015-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hhcart-an-oblique-decision-tree-1504.03415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hhcart-an-oblique-decision-tree-1504.03415"/></url>
<url><loc>https://scifaro.com/en/abs/a-generative-model-for-deep-convolutional-learning-1504.04054</loc><lastmod>2015-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generative-model-for-deep-convolutional-learning-1504.04054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generative-model-for-deep-convolutional-learning-1504.04054"/></url>
<url><loc>https://scifaro.com/en/abs/actively-learning-to-attract-followers-on-twitter-1504.04114</loc><lastmod>2015-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/actively-learning-to-attract-followers-on-twitter-1504.04114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/actively-learning-to-attract-followers-on-twitter-1504.04114"/></url>
<url><loc>https://scifaro.com/en/abs/non-uniform-stochastic-average-gradient-method-for-training-conditional-random-fields-1504.04406</loc><lastmod>2015-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-uniform-stochastic-average-gradient-method-for-training-conditional-random-fields-1504.04406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-uniform-stochastic-average-gradient-method-for-training-conditional-random-fields-1504.04406"/></url>
<url><loc>https://scifaro.com/en/abs/partition-mcmc-for-inference-on-acyclic-digraphs-1504.05006</loc><lastmod>2022-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partition-mcmc-for-inference-on-acyclic-digraphs-1504.05006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partition-mcmc-for-inference-on-acyclic-digraphs-1504.05006"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-nearest-neighbor-random-process-clustering-1504.05059</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-nearest-neighbor-random-process-clustering-1504.05059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-nearest-neighbor-random-process-clustering-1504.05059"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-testing-for-heterogeneous-correlation-1504.05392</loc><lastmod>2015-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-testing-for-heterogeneous-correlation-1504.05392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-testing-for-heterogeneous-correlation-1504.05392"/></url>
<url><loc>https://scifaro.com/en/abs/a-local-approach-to-estimation-in-discrete-loglinear-models-1504.05434</loc><lastmod>2015-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-local-approach-to-estimation-in-discrete-loglinear-models-1504.05434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-local-approach-to-estimation-in-discrete-loglinear-models-1504.05434"/></url>
<url><loc>https://scifaro.com/en/abs/normal-bandits-of-unknown-means-and-variances-asymptotic-optimality-finite-horizon-regret-bounds-and-a-solution-to-an-open-problem-1504.05823</loc><lastmod>2015-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normal-bandits-of-unknown-means-and-variances-asymptotic-optimality-finite-horizon-regret-bounds-and-a-solution-to-an-open-problem-1504.05823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normal-bandits-of-unknown-means-and-variances-asymptotic-optimality-finite-horizon-regret-bounds-and-a-solution-to-an-open-problem-1504.05823"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-norm-of-random-kernel-matrices-with-applications-to-privacy-1504.05880</loc><lastmod>2015-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-norm-of-random-kernel-matrices-with-applications-to-privacy-1504.05880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-norm-of-random-kernel-matrices-with-applications-to-privacy-1504.05880"/></url>
<url><loc>https://scifaro.com/en/abs/graphical-fermat-s-principle-and-triangle-free-graph-estimation-1504.06026</loc><lastmod>2015-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphical-fermat-s-principle-and-triangle-free-graph-estimation-1504.06026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphical-fermat-s-principle-and-triangle-free-graph-estimation-1504.06026"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-free-estimation-in-trace-regression-with-symmetric-positive-semidefinite-matrices-1504.06305</loc><lastmod>2015-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-free-estimation-in-trace-regression-with-symmetric-positive-semidefinite-matrices-1504.06305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-free-estimation-in-trace-regression-with-symmetric-positive-semidefinite-matrices-1504.06305"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-approach-for-structure-learning-in-oscillating-regulatory-networks-1504.06553</loc><lastmod>2015-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-approach-for-structure-learning-in-oscillating-regulatory-networks-1504.06553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-approach-for-structure-learning-in-oscillating-regulatory-networks-1504.06553"/></url>
<url><loc>https://scifaro.com/en/abs/a-prior-distribution-over-directed-acyclic-graphs-for-sparse-bayesian-networks-1504.06701</loc><lastmod>2015-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-prior-distribution-over-directed-acyclic-graphs-for-sparse-bayesian-networks-1504.06701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-prior-distribution-over-directed-acyclic-graphs-for-sparse-bayesian-networks-1504.06701"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-binary-classifiers-using-only-positive-and-unlabeled-data-1504.06837</loc><lastmod>2015-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-binary-classifiers-using-only-positive-and-unlabeled-data-1504.06837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-binary-classifiers-using-only-positive-and-unlabeled-data-1504.06837"/></url>
<url><loc>https://scifaro.com/en/abs/on-sparse-variational-methods-and-the-kullback-leibler-divergence-between-stochastic-processes-1504.07027</loc><lastmod>2015-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-sparse-variational-methods-and-the-kullback-leibler-divergence-between-stochastic-processes-1504.07027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-sparse-variational-methods-and-the-kullback-leibler-divergence-between-stochastic-processes-1504.07027"/></url>
<url><loc>https://scifaro.com/en/abs/fast-sampling-for-bayesian-max-margin-models-1504.07107</loc><lastmod>2016-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-sampling-for-bayesian-max-margin-models-1504.07107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-sampling-for-bayesian-max-margin-models-1504.07107"/></url>
<url><loc>https://scifaro.com/en/abs/sign-stable-random-projections-for-large-scale-learning-1504.07235</loc><lastmod>2015-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sign-stable-random-projections-for-large-scale-learning-1504.07235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sign-stable-random-projections-for-large-scale-learning-1504.07235"/></url>
<url><loc>https://scifaro.com/en/abs/building-classifiers-to-predict-the-start-of-glucose-lowering-pharmacotherapy-using-belgian-health-expenditure-data-1504.07389</loc><lastmod>2015-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-classifiers-to-predict-the-start-of-glucose-lowering-pharmacotherapy-using-belgian-health-expenditure-data-1504.07389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-classifiers-to-predict-the-start-of-glucose-lowering-pharmacotherapy-using-belgian-health-expenditure-data-1504.07389"/></url>
<url><loc>https://scifaro.com/en/abs/non-gaussian-discriminative-factor-models-via-the-max-margin-rank-likelihood-1504.07468</loc><lastmod>2015-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-gaussian-discriminative-factor-models-via-the-max-margin-rank-likelihood-1504.07468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-gaussian-discriminative-factor-models-via-the-max-margin-rank-likelihood-1504.07468"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-the-success-of-adaboost-and-random-forests-as-interpolating-classifiers-1504.07676</loc><lastmod>2017-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-the-success-of-adaboost-and-random-forests-as-interpolating-classifiers-1504.07676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-the-success-of-adaboost-and-random-forests-as-interpolating-classifiers-1504.07676"/></url>
<url><loc>https://scifaro.com/en/abs/market-forecasting-using-hidden-markov-models-1504.07829</loc><lastmod>2016-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/market-forecasting-using-hidden-markov-models-1504.07829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/market-forecasting-using-hidden-markov-models-1504.07829"/></url>
<url><loc>https://scifaro.com/en/abs/semi-orthogonal-multilinear-pca-with-relaxed-start-1504.08142</loc><lastmod>2015-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-orthogonal-multilinear-pca-with-relaxed-start-1504.08142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-orthogonal-multilinear-pca-with-relaxed-start-1504.08142"/></url>
<url><loc>https://scifaro.com/en/abs/block-basis-factorization-for-scalable-kernel-matrix-evaluation-1505.00398</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/block-basis-factorization-for-scalable-kernel-matrix-evaluation-1505.00398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/block-basis-factorization-for-scalable-kernel-matrix-evaluation-1505.00398"/></url>
<url><loc>https://scifaro.com/en/abs/a-linear-time-particle-gibbs-sampler-for-infinite-hidden-markov-models-1505.00428</loc><lastmod>2015-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-linear-time-particle-gibbs-sampler-for-infinite-hidden-markov-models-1505.00428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-linear-time-particle-gibbs-sampler-for-infinite-hidden-markov-models-1505.00428"/></url>
<url><loc>https://scifaro.com/en/abs/on-regret-optimal-learning-in-decentralized-multi-player-multi-armed-bandits-1505.00553</loc><lastmod>2016-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-regret-optimal-learning-in-decentralized-multi-player-multi-armed-bandits-1505.00553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-regret-optimal-learning-in-decentralized-multi-player-multi-armed-bandits-1505.00553"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-feasibility-of-distributed-kernel-regression-for-big-data-1505.00869</loc><lastmod>2015-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-feasibility-of-distributed-kernel-regression-for-big-data-1505.00869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-feasibility-of-distributed-kernel-regression-for-big-data-1505.00869"/></url>
<url><loc>https://scifaro.com/en/abs/consistency-of-spectral-hypergraph-partitioning-under-planted-partition-model-1505.01582</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistency-of-spectral-hypergraph-partitioning-under-planted-partition-model-1505.01582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistency-of-spectral-hypergraph-partitioning-under-planted-partition-model-1505.01582"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-for-synthetic-gene-design-1505.01627</loc><lastmod>2015-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-for-synthetic-gene-design-1505.01627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-for-synthetic-gene-design-1505.01627"/></url>
<url><loc>https://scifaro.com/en/abs/an-asymptotically-optimal-policy-for-uniform-bandits-of-unknown-support-1505.01918</loc><lastmod>2015-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-asymptotically-optimal-policy-for-uniform-bandits-of-unknown-support-1505.01918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-asymptotically-optimal-policy-for-uniform-bandits-of-unknown-support-1505.01918"/></url>
<url><loc>https://scifaro.com/en/abs/dense-distributions-from-sparse-samples-improved-gibbs-sampling-parameter-estimators-for-lda-1505.02065</loc><lastmod>2017-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dense-distributions-from-sparse-samples-improved-gibbs-sampling-parameter-estimators-for-lda-1505.02065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dense-distributions-from-sparse-samples-improved-gibbs-sampling-parameter-estimators-for-lda-1505.02065"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-with-norm-regularization-1505.02294</loc><lastmod>2015-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-with-norm-regularization-1505.02294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-with-norm-regularization-1505.02294"/></url>
<url><loc>https://scifaro.com/en/abs/spike-and-slab-gaussian-process-latent-variable-models-1505.02434</loc><lastmod>2015-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spike-and-slab-gaussian-process-latent-variable-models-1505.02434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spike-and-slab-gaussian-process-latent-variable-models-1505.02434"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-behavior-of-minimal-exploration-allocation-policies-almost-sure-arbitrarily-slow-growing-regret-1505.02865</loc><lastmod>2015-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-behavior-of-minimal-exploration-allocation-policies-almost-sure-arbitrarily-slow-growing-regret-1505.02865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-behavior-of-minimal-exploration-allocation-policies-almost-sure-arbitrarily-slow-growing-regret-1505.02865"/></url>
<url><loc>https://scifaro.com/en/abs/permutational-rademacher-complexity-a-new-complexity-measure-for-transductive-learning-1505.02910</loc><lastmod>2016-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/permutational-rademacher-complexity-a-new-complexity-measure-for-transductive-learning-1505.02910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/permutational-rademacher-complexity-a-new-complexity-measure-for-transductive-learning-1505.02910"/></url>
<url><loc>https://scifaro.com/en/abs/removing-systematic-errors-for-exoplanet-search-via-latent-causes-1505.03036</loc><lastmod>2015-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/removing-systematic-errors-for-exoplanet-search-via-latent-causes-1505.03036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/removing-systematic-errors-for-exoplanet-search-via-latent-causes-1505.03036"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-linear-estimation-under-unknown-nonlinear-transform-1505.03257</loc><lastmod>2015-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-linear-estimation-under-unknown-nonlinear-transform-1505.03257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-linear-estimation-under-unknown-nonlinear-transform-1505.03257"/></url>
<url><loc>https://scifaro.com/en/abs/mind-the-duality-gap-safer-rules-for-the-lasso-1505.03410</loc><lastmod>2015-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mind-the-duality-gap-safer-rules-for-the-lasso-1505.03410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mind-the-duality-gap-safer-rules-for-the-lasso-1505.03410"/></url>
<url><loc>https://scifaro.com/en/abs/noncrossing-ordinal-classification-1505.03442</loc><lastmod>2015-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noncrossing-ordinal-classification-1505.03442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noncrossing-ordinal-classification-1505.03442"/></url>
<url><loc>https://scifaro.com/en/abs/relations-between-adjacency-and-modularity-graph-partitioning-1505.03481</loc><lastmod>2023-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relations-between-adjacency-and-modularity-graph-partitioning-1505.03481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relations-between-adjacency-and-modularity-graph-partitioning-1505.03481"/></url>
<url><loc>https://scifaro.com/en/abs/bootstrapped-adaptive-threshold-selection-for-statistical-model-selection-and-estimation-1505.03511</loc><lastmod>2015-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bootstrapped-adaptive-threshold-selection-for-statistical-model-selection-and-estimation-1505.03511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bootstrapped-adaptive-threshold-selection-for-statistical-model-selection-and-estimation-1505.03511"/></url>
<url><loc>https://scifaro.com/en/abs/training-generative-neural-networks-via-maximum-mean-discrepancy-optimization-1505.03906</loc><lastmod>2015-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-generative-neural-networks-via-maximum-mean-discrepancy-optimization-1505.03906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-generative-neural-networks-via-maximum-mean-discrepancy-optimization-1505.03906"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-low-rank-tensor-recovery-from-separable-measurements-four-contractions-suffice-1505.04085</loc><lastmod>2015-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-low-rank-tensor-recovery-from-separable-measurements-four-contractions-suffice-1505.04085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-low-rank-tensor-recovery-from-separable-measurements-four-contractions-suffice-1505.04085"/></url>
<url><loc>https://scifaro.com/en/abs/an-analysis-of-active-learning-with-uniform-feature-noise-1505.04215</loc><lastmod>2015-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-analysis-of-active-learning-with-uniform-feature-noise-1505.04215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-analysis-of-active-learning-with-uniform-feature-noise-1505.04215"/></url>
<url><loc>https://scifaro.com/en/abs/provably-correct-algorithms-for-matrix-column-subset-selection-with-selectively-sampled-data-1505.04343</loc><lastmod>2018-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-correct-algorithms-for-matrix-column-subset-selection-with-selectively-sampled-data-1505.04343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-correct-algorithms-for-matrix-column-subset-selection-with-selectively-sampled-data-1505.04343"/></url>
<url><loc>https://scifaro.com/en/abs/local-identifiability-of-l-1-minimization-dictionary-learning-a-sufficient-and-almost-necessary-condition-1505.04363</loc><lastmod>2016-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-identifiability-of-l-1-minimization-dictionary-learning-a-sufficient-and-almost-necessary-condition-1505.04363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-identifiability-of-l-1-minimization-dictionary-learning-a-sufficient-and-almost-necessary-condition-1505.04363"/></url>
<url><loc>https://scifaro.com/en/abs/harmonic-exponential-families-on-manifolds-1505.04413</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/harmonic-exponential-families-on-manifolds-1505.04413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/harmonic-exponential-families-on-manifolds-1505.04413"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-neural-network-training-with-dark-knowledge-transfer-1505.04630</loc><lastmod>2016-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-neural-network-training-with-dark-knowledge-transfer-1505.04630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-neural-network-training-with-dark-knowledge-transfer-1505.04630"/></url>
<url><loc>https://scifaro.com/en/abs/towards-faster-rates-and-oracle-property-for-low-rank-matrix-estimation-1505.04780</loc><lastmod>2015-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-faster-rates-and-oracle-property-for-low-rank-matrix-estimation-1505.04780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-faster-rates-and-oracle-property-for-low-rank-matrix-estimation-1505.04780"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-additive-models-with-shared-transfer-functions-based-on-dictionary-learning-1505.04966</loc><lastmod>2015-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-additive-models-with-shared-transfer-functions-based-on-dictionary-learning-1505.04966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-additive-models-with-shared-transfer-functions-based-on-dictionary-learning-1505.04966"/></url>
<url><loc>https://scifaro.com/en/abs/an-experimental-comparison-of-hybrid-algorithms-for-bayesian-network-structure-learning-1505.05004</loc><lastmod>2015-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-experimental-comparison-of-hybrid-algorithms-for-bayesian-network-structure-learning-1505.05004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-experimental-comparison-of-hybrid-algorithms-for-bayesian-network-structure-learning-1505.05004"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-based-experiment-retrieval-a-case-study-with-gene-expression-clustering-1505.05007</loc><lastmod>2016-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-based-experiment-retrieval-a-case-study-with-gene-expression-clustering-1505.05007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-based-experiment-retrieval-a-case-study-with-gene-expression-clustering-1505.05007"/></url>
<url><loc>https://scifaro.com/en/abs/vector-space-markov-random-fields-via-exponential-families-1505.05117</loc><lastmod>2015-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vector-space-markov-random-fields-via-exponential-families-1505.05117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vector-space-markov-random-fields-via-exponential-families-1505.05117"/></url>
<url><loc>https://scifaro.com/en/abs/oasis-adaptive-column-sampling-for-kernel-matrix-approximation-1505.05208</loc><lastmod>2015-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/oasis-adaptive-column-sampling-for-kernel-matrix-approximation-1505.05208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/oasis-adaptive-column-sampling-for-kernel-matrix-approximation-1505.05208"/></url>
<url><loc>https://scifaro.com/en/abs/variable-subset-selection-via-ga-and-information-complexity-in-mixtures-of-poisson-and-negative-binomial-regression-models-1505.05229</loc><lastmod>2015-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-subset-selection-via-ga-and-information-complexity-in-mixtures-of-poisson-and-negative-binomial-regression-models-1505.05229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-subset-selection-via-ga-and-information-complexity-in-mixtures-of-poisson-and-negative-binomial-regression-models-1505.05229"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-learning-for-dynamical-system-learning-1505.05310</loc><lastmod>2015-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-learning-for-dynamical-system-learning-1505.05310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-learning-for-dynamical-system-learning-1505.05310"/></url>
<url><loc>https://scifaro.com/en/abs/weight-uncertainty-in-neural-networks-1505.05424</loc><lastmod>2015-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weight-uncertainty-in-neural-networks-1505.05424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weight-uncertainty-in-neural-networks-1505.05424"/></url>
<url><loc>https://scifaro.com/en/abs/why-regularized-auto-encoders-learn-sparse-representation-1505.05561</loc><lastmod>2016-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-regularized-auto-encoders-learn-sparse-representation-1505.05561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-regularized-auto-encoders-learn-sparse-representation-1505.05561"/></url>
<url><loc>https://scifaro.com/en/abs/regulating-greed-over-time-in-multi-armed-bandits-1505.05629</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regulating-greed-over-time-in-multi-armed-bandits-1505.05629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regulating-greed-over-time-in-multi-armed-bandits-1505.05629"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-with-normalizing-flows-1505.05770</loc><lastmod>2016-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-with-normalizing-flows-1505.05770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-with-normalizing-flows-1505.05770"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-robust-subspace-recovery-for-high-dimensional-data-matrices-1505.05901</loc><lastmod>2017-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-robust-subspace-recovery-for-high-dimensional-data-matrices-1505.05901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-robust-subspace-recovery-for-high-dimensional-data-matrices-1505.05901"/></url>
<url><loc>https://scifaro.com/en/abs/the-benefit-of-multitask-representation-learning-1505.06279</loc><lastmod>2016-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-benefit-of-multitask-representation-learning-1505.06279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-benefit-of-multitask-representation-learning-1505.06279"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-bird-sound-in-unknown-acoustic-background-using-crowdsourced-training-data-1505.06443</loc><lastmod>2015-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-bird-sound-in-unknown-acoustic-background-using-crowdsourced-training-data-1505.06443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-bird-sound-in-unknown-acoustic-background-using-crowdsourced-training-data-1505.06443"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-and-flexible-algorithm-for-the-graph-fused-lasso-1505.06475</loc><lastmod>2015-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-and-flexible-algorithm-for-the-graph-fused-lasso-1505.06475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-and-flexible-algorithm-for-the-graph-fused-lasso-1505.06475"/></url>
<url><loc>https://scifaro.com/en/abs/tight-continuous-relaxation-of-the-balanced-k-cut-problem-1505.06478</loc><lastmod>2015-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-continuous-relaxation-of-the-balanced-k-cut-problem-1505.06478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-continuous-relaxation-of-the-balanced-k-cut-problem-1505.06478"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-1-spectral-clustering-1505.06485</loc><lastmod>2015-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-1-spectral-clustering-1505.06485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-1-spectral-clustering-1505.06485"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-via-content-augmented-stochastic-blockmodels-1505.06538</loc><lastmod>2015-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-via-content-augmented-stochastic-blockmodels-1505.06538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-via-content-augmented-stochastic-blockmodels-1505.06538"/></url>
<url><loc>https://scifaro.com/en/abs/electre-tri-machine-learning-approach-to-the-record-linkage-problem-1505.06614</loc><lastmod>2015-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/electre-tri-machine-learning-approach-to-the-record-linkage-problem-1505.06614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/electre-tri-machine-learning-approach-to-the-record-linkage-problem-1505.06614"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-and-algorithmic-perspectives-on-randomized-sketching-for-ordinary-least-squares-icml-1505.06659</loc><lastmod>2015-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-and-algorithmic-perspectives-on-randomized-sketching-for-ordinary-least-squares-icml-1505.06659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-and-algorithmic-perspectives-on-randomized-sketching-for-ordinary-least-squares-icml-1505.06659"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-annealing-for-variational-inference-1505.06723</loc><lastmod>2015-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-annealing-for-variational-inference-1505.06723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-annealing-for-variational-inference-1505.06723"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-non-decomposable-performance-measures-a-tale-of-two-classes-1505.06812</loc><lastmod>2015-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-non-decomposable-performance-measures-a-tale-of-two-classes-1505.06812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-non-decomposable-performance-measures-a-tale-of-two-classes-1505.06812"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-functions-for-maximizing-precision-at-the-top-1505.06813</loc><lastmod>2015-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-functions-for-maximizing-precision-at-the-top-1505.06813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-functions-for-maximizing-precision-at-the-top-1505.06813"/></url>
<url><loc>https://scifaro.com/en/abs/an-overview-of-the-asymptotic-performance-of-the-family-of-the-fastica-algorithms-1505.07008</loc><lastmod>2015-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-overview-of-the-asymptotic-performance-of-the-family-of-the-fastica-algorithms-1505.07008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-overview-of-the-asymptotic-performance-of-the-family-of-the-fastica-algorithms-1505.07008"/></url>
<url><loc>https://scifaro.com/en/abs/belief-flows-of-robust-online-learning-1505.07067</loc><lastmod>2015-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/belief-flows-of-robust-online-learning-1505.07067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/belief-flows-of-robust-online-learning-1505.07067"/></url>
<url><loc>https://scifaro.com/en/abs/a-trust-region-method-for-stochastic-variational-inference-with-applications-to-streaming-data-1505.07649</loc><lastmod>2015-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-trust-region-method-for-stochastic-variational-inference-with-applications-to-streaming-data-1505.07649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-trust-region-method-for-stochastic-variational-inference-with-applications-to-streaming-data-1505.07649"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-relevance-determination-for-deep-generative-models-1505.07765</loc><lastmod>2015-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-relevance-determination-for-deep-generative-models-1505.07765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-relevance-determination-for-deep-generative-models-1505.07765"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adversarial-training-of-neural-networks-1505.07818</loc><lastmod>2016-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adversarial-training-of-neural-networks-1505.07818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adversarial-training-of-neural-networks-1505.07818"/></url>
<url><loc>https://scifaro.com/en/abs/batch-bayesian-optimization-via-local-penalization-1505.08052</loc><lastmod>2015-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-bayesian-optimization-via-local-penalization-1505.08052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-bayesian-optimization-via-local-penalization-1505.08052"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-bayesian-experimentation-using-an-expected-information-gain-lower-bound-1506.00053</loc><lastmod>2016-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-bayesian-experimentation-using-an-expected-information-gain-lower-bound-1506.00053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-bayesian-experimentation-using-an-expected-information-gain-lower-bound-1506.00053"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-combination-of-pairswise-feature-networks-1506.00102</loc><lastmod>2015-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-combination-of-pairswise-feature-networks-1506.00102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-combination-of-pairswise-feature-networks-1506.00102"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-inference-for-inverting-software-simulators-via-probabilistic-programming-1506.00308</loc><lastmod>2015-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-inference-for-inverting-software-simulators-via-probabilistic-programming-1506.00308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-inference-for-inverting-software-simulators-via-probabilistic-programming-1506.00308"/></url>
<url><loc>https://scifaro.com/en/abs/robust-pca-optimization-of-the-robust-reconstruction-error-over-the-stiefel-manifold-1506.00323</loc><lastmod>2015-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-pca-optimization-of-the-robust-reconstruction-error-over-the-stiefel-manifold-1506.00323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-pca-optimization-of-the-robust-reconstruction-error-over-the-stiefel-manifold-1506.00323"/></url>
<url><loc>https://scifaro.com/en/abs/bootstrap-bias-corrections-for-ensemble-methods-1506.00553</loc><lastmod>2015-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bootstrap-bias-corrections-for-ensemble-methods-1506.00553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bootstrap-bias-corrections-for-ensemble-methods-1506.00553"/></url>
<url><loc>https://scifaro.com/en/abs/an-objective-prior-that-unifies-objective-bayes-and-information-based-inference-1506.00745</loc><lastmod>2015-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-objective-prior-that-unifies-objective-bayes-and-information-based-inference-1506.00745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-objective-prior-that-unifies-objective-bayes-and-information-based-inference-1506.00745"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-regret-analysis-of-thompson-sampling-in-stochastic-multi-armed-bandit-problem-with-multiple-plays-1506.00779</loc><lastmod>2019-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-regret-analysis-of-thompson-sampling-in-stochastic-multi-armed-bandit-problem-with-multiple-plays-1506.00779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-regret-analysis-of-thompson-sampling-in-stochastic-multi-armed-bandit-problem-with-multiple-plays-1506.00779"/></url>
<url><loc>https://scifaro.com/en/abs/extreme-compressive-sampling-for-covariance-estimation-1506.00898</loc><lastmod>2019-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extreme-compressive-sampling-for-covariance-estimation-1506.00898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extreme-compressive-sampling-for-covariance-estimation-1506.00898"/></url>
<url><loc>https://scifaro.com/en/abs/multi-objective-optimization-for-self-adjusting-weighted-gradient-in-machine-learning-tasks-1506.01113</loc><lastmod>2015-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-objective-optimization-for-self-adjusting-weighted-gradient-in-machine-learning-tasks-1506.01113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-objective-optimization-for-self-adjusting-weighted-gradient-in-machine-learning-tasks-1506.01113"/></url>
<url><loc>https://scifaro.com/en/abs/peaksegjoint-fast-supervised-peak-detection-via-joint-segmentation-of-multiple-count-data-samples-1506.01286</loc><lastmod>2015-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/peaksegjoint-fast-supervised-peak-detection-via-joint-segmentation-of-multiple-count-data-samples-1506.01286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/peaksegjoint-fast-supervised-peak-detection-via-joint-segmentation-of-multiple-count-data-samples-1506.01286"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-for-materials-design-1506.01349</loc><lastmod>2017-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-for-materials-design-1506.01349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-for-materials-design-1506.01349"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-stochastic-gradient-markov-chain-monte-carlo-for-matrix-factorisation-models-1506.01418</loc><lastmod>2015-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-stochastic-gradient-markov-chain-monte-carlo-for-matrix-factorisation-models-1506.01418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-stochastic-gradient-markov-chain-monte-carlo-for-matrix-factorisation-models-1506.01418"/></url>
<url><loc>https://scifaro.com/en/abs/rivalry-of-two-families-of-algorithms-for-memory-restricted-streaming-pca-1506.01490</loc><lastmod>2015-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rivalry-of-two-families-of-algorithms-for-memory-restricted-streaming-pca-1506.01490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rivalry-of-two-families-of-algorithms-for-memory-restricted-streaming-pca-1506.01490"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-robust-classification-via-the-kernel-mean-1506.01520</loc><lastmod>2025-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-robust-classification-via-the-kernel-mean-1506.01520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-robust-classification-via-the-kernel-mean-1506.01520"/></url>
<url><loc>https://scifaro.com/en/abs/the-preference-learning-toolbox-1506.01709</loc><lastmod>2015-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-preference-learning-toolbox-1506.01709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-preference-learning-toolbox-1506.01709"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-learning-of-large-structured-hmms-for-comparative-epigenomics-1506.01744</loc><lastmod>2015-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-learning-of-large-structured-hmms-for-comparative-epigenomics-1506.01744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-learning-of-large-structured-hmms-for-comparative-epigenomics-1506.01744"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-learning-of-the-number-of-states-in-multi-state-autoregressive-models-1506.02107</loc><lastmod>2015-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-learning-of-the-number-of-states-in-multi-state-autoregressive-models-1506.02107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-learning-of-the-number-of-states-in-multi-state-autoregressive-models-1506.02107"/></url>
<url><loc>https://scifaro.com/en/abs/dropout-as-a-bayesian-approximation-representing-model-uncertainty-in-deep-learning-1506.02142</loc><lastmod>2016-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropout-as-a-bayesian-approximation-representing-model-uncertainty-in-deep-learning-1506.02142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropout-as-a-bayesian-approximation-representing-model-uncertainty-in-deep-learning-1506.02142"/></url>
<url><loc>https://scifaro.com/en/abs/dropout-as-a-bayesian-approximation-appendix-1506.02157</loc><lastmod>2016-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropout-as-a-bayesian-approximation-appendix-1506.02157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropout-as-a-bayesian-approximation-appendix-1506.02157"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-convolutional-neural-networks-with-bernoulli-approximate-variational-inference-1506.02158</loc><lastmod>2016-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-convolutional-neural-networks-with-bernoulli-approximate-variational-inference-1506.02158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-convolutional-neural-networks-with-bernoulli-approximate-variational-inference-1506.02158"/></url>
<url><loc>https://scifaro.com/en/abs/fast-mixing-for-discrete-point-processes-1506.02194</loc><lastmod>2015-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-mixing-for-discrete-point-processes-1506.02194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-mixing-for-discrete-point-processes-1506.02194"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-spectral-kernels-1506.02236</loc><lastmod>2015-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-spectral-kernels-1506.02236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-spectral-kernels-1506.02236"/></url>
<url><loc>https://scifaro.com/en/abs/string-gaussian-process-kernels-1506.02239</loc><lastmod>2015-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/string-gaussian-process-kernels-1506.02239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/string-gaussian-process-kernels-1506.02239"/></url>
<url><loc>https://scifaro.com/en/abs/stay-on-path-pca-along-graph-paths-1506.02344</loc><lastmod>2015-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stay-on-path-pca-along-graph-paths-1506.02344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stay-on-path-pca-along-graph-paths-1506.02344"/></url>
<url><loc>https://scifaro.com/en/abs/stacked-what-where-auto-encoders-1506.02351</loc><lastmod>2016-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stacked-what-where-auto-encoders-1506.02351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stacked-what-where-auto-encoders-1506.02351"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-selection-and-visualization-of-features-and-interactions-using-bayesian-forests-1506.02371</loc><lastmod>2016-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-selection-and-visualization-of-features-and-interactions-using-bayesian-forests-1506.02371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-selection-and-visualization-of-features-and-interactions-using-bayesian-forests-1506.02371"/></url>
<url><loc>https://scifaro.com/en/abs/convex-recovery-of-tensors-using-nuclear-norm-penalization-1506.02520</loc><lastmod>2015-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-recovery-of-tensors-using-nuclear-norm-penalization-1506.02520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-recovery-of-tensors-using-nuclear-norm-penalization-1506.02520"/></url>
<url><loc>https://scifaro.com/en/abs/regret-lower-bound-and-optimal-algorithm-in-dueling-bandit-problem-1506.02550</loc><lastmod>2015-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-lower-bound-and-optimal-algorithm-in-dueling-bandit-problem-1506.02550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-lower-bound-and-optimal-algorithm-in-dueling-bandit-problem-1506.02550"/></url>
<url><loc>https://scifaro.com/en/abs/dual-loco-distributing-statistical-estimation-using-random-projections-1506.02554</loc><lastmod>2016-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-loco-distributing-statistical-estimation-using-random-projections-1506.02554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-loco-distributing-statistical-estimation-using-random-projections-1506.02554"/></url>
<url><loc>https://scifaro.com/en/abs/variational-dropout-and-the-local-reparameterization-trick-1506.02557</loc><lastmod>2015-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-dropout-and-the-local-reparameterization-trick-1506.02557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-dropout-and-the-local-reparameterization-trick-1506.02557"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-free-hamiltonian-monte-carlo-with-efficient-kernel-exponential-families-1506.02564</loc><lastmod>2015-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-free-hamiltonian-monte-carlo-with-efficient-kernel-exponential-families-1506.02564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-free-hamiltonian-monte-carlo-with-efficient-kernel-exponential-families-1506.02564"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-training-of-structured-svm-1506.02620</loc><lastmod>2016-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-training-of-structured-svm-1506.02620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-training-of-structured-svm-1506.02620"/></url>
<url><loc>https://scifaro.com/en/abs/frank-wolfe-bayesian-quadrature-probabilistic-integration-with-theoretical-guarantees-1506.02681</loc><lastmod>2017-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frank-wolfe-bayesian-quadrature-probabilistic-integration-with-theoretical-guarantees-1506.02681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frank-wolfe-bayesian-quadrature-probabilistic-integration-with-theoretical-guarantees-1506.02681"/></url>
<url><loc>https://scifaro.com/en/abs/the-licors-cabinet-nonparametric-algorithms-for-spatio-temporal-prediction-1506.02686</loc><lastmod>2016-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-licors-cabinet-nonparametric-algorithms-for-spatio-temporal-prediction-1506.02686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-licors-cabinet-nonparametric-algorithms-for-spatio-temporal-prediction-1506.02686"/></url>
<url><loc>https://scifaro.com/en/abs/community-detection-in-multi-relational-data-with-restricted-multi-layer-stochastic-blockmodel-1506.02699</loc><lastmod>2017-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/community-detection-in-multi-relational-data-with-restricted-multi-layer-stochastic-blockmodel-1506.02699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/community-detection-in-multi-relational-data-with-restricted-multi-layer-stochastic-blockmodel-1506.02699"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-posterior-ratio-for-classification-transfer-learning-from-probabilistic-perspective-1506.02784</loc><lastmod>2015-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-posterior-ratio-for-classification-transfer-learning-from-probabilistic-perspective-1506.02784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-posterior-ratio-for-classification-transfer-learning-from-probabilistic-perspective-1506.02784"/></url>
<url><loc>https://scifaro.com/en/abs/stagewise-learning-for-sparse-clustering-of-discretely-valued-data-1506.02975</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stagewise-learning-for-sparse-clustering-of-discretely-valued-data-1506.02975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stagewise-learning-for-sparse-clustering-of-discretely-valued-data-1506.02975"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-stochastic-gradient-descent-for-minimizing-finite-sums-1506.03016</loc><lastmod>2015-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-stochastic-gradient-descent-for-minimizing-finite-sums-1506.03016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-stochastic-gradient-descent-for-minimizing-finite-sums-1506.03016"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-sample-quality-with-stein-s-method-1506.03039</loc><lastmod>2019-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-sample-quality-with-stein-s-method-1506.03039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-sample-quality-with-stein-s-method-1506.03039"/></url>
<url><loc>https://scifaro.com/en/abs/variational-consensus-monte-carlo-1506.03074</loc><lastmod>2015-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-consensus-monte-carlo-1506.03074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-consensus-monte-carlo-1506.03074"/></url>
<url><loc>https://scifaro.com/en/abs/pointer-networks-1506.03134</loc><lastmod>2017-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pointer-networks-1506.03134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pointer-networks-1506.03134"/></url>
<url><loc>https://scifaro.com/en/abs/copula-variational-inference-1506.03159</loc><lastmod>2015-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/copula-variational-inference-1506.03159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/copula-variational-inference-1506.03159"/></url>
<url><loc>https://scifaro.com/en/abs/parallelizing-mcmc-with-random-partition-trees-1506.03164</loc><lastmod>2015-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallelizing-mcmc-with-random-partition-trees-1506.03164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallelizing-mcmc-with-random-partition-trees-1506.03164"/></url>
<url><loc>https://scifaro.com/en/abs/a-scale-mixture-perspective-of-multiplicative-noise-in-neural-networks-1506.03208</loc><lastmod>2015-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-scale-mixture-perspective-of-multiplicative-noise-in-neural-networks-1506.03208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-scale-mixture-perspective-of-multiplicative-noise-in-neural-networks-1506.03208"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-projection-oblique-randomer-forests-1506.03410</loc><lastmod>2024-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-projection-oblique-randomer-forests-1506.03410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-projection-oblique-randomer-forests-1506.03410"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-variational-inference-in-stan-1506.03431</loc><lastmod>2015-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-variational-inference-in-stan-1506.03431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-variational-inference-in-stan-1506.03431"/></url>
<url><loc>https://scifaro.com/en/abs/generative-image-modeling-using-spatial-lstms-1506.03478</loc><lastmod>2015-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-image-modeling-using-spatial-lstms-1506.03478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-image-modeling-using-spatial-lstms-1506.03478"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-nonparametric-testing-with-the-law-of-the-iterated-logarithm-1506.03486</loc><lastmod>2016-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-nonparametric-testing-with-the-law-of-the-iterated-logarithm-1506.03486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-nonparametric-testing-with-the-law-of-the-iterated-logarithm-1506.03486"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-poisson-tensor-factorization-for-inferring-multilateral-relations-from-sparse-dyadic-event-counts-1506.03493</loc><lastmod>2015-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-poisson-tensor-factorization-for-inferring-multilateral-relations-from-sparse-dyadic-event-counts-1506.03493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-poisson-tensor-factorization-for-inferring-multilateral-relations-from-sparse-dyadic-event-counts-1506.03493"/></url>
<url><loc>https://scifaro.com/en/abs/gap-safe-screening-rules-for-sparse-multi-task-and-multi-class-models-1506.03736</loc><lastmod>2015-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gap-safe-screening-rules-for-sparse-multi-task-and-multi-class-models-1506.03736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gap-safe-screening-rules-for-sparse-multi-task-and-multi-class-models-1506.03736"/></url>
<url><loc>https://scifaro.com/en/abs/recovering-metric-from-full-ordinal-information-1506.03762</loc><lastmod>2019-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovering-metric-from-full-ordinal-information-1506.03762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovering-metric-from-full-ordinal-information-1506.03762"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-representations-for-convolutional-neural-networks-1506.03767</loc><lastmod>2015-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-representations-for-convolutional-neural-networks-1506.03767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-representations-for-convolutional-neural-networks-1506.03767"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-curve-learning-coulomb-repulsion-and-the-electrostatic-gaussian-process-1506.03768</loc><lastmod>2015-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-curve-learning-coulomb-repulsion-and-the-electrostatic-gaussian-process-1506.03768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-curve-learning-coulomb-repulsion-and-the-electrostatic-gaussian-process-1506.03768"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-partially-collapsed-mcmc-for-parallel-inference-in-topic-models-1506.03784</loc><lastmod>2017-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-partially-collapsed-mcmc-for-parallel-inference-in-topic-models-1506.03784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-partially-collapsed-mcmc-for-parallel-inference-in-topic-models-1506.03784"/></url>
<url><loc>https://scifaro.com/en/abs/mondrian-forests-for-large-scale-regression-when-uncertainty-matters-1506.03805</loc><lastmod>2016-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mondrian-forests-for-large-scale-regression-when-uncertainty-matters-1506.03805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mondrian-forests-for-large-scale-regression-when-uncertainty-matters-1506.03805"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-additive-model-selection-1506.03850</loc><lastmod>2015-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-additive-model-selection-1506.03850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-additive-model-selection-1506.03850"/></url>
<url><loc>https://scifaro.com/en/abs/tree-cut-for-probabilistic-image-segmentation-1506.03852</loc><lastmod>2015-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tree-cut-for-probabilistic-image-segmentation-1506.03852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tree-cut-for-probabilistic-image-segmentation-1506.03852"/></url>
<url><loc>https://scifaro.com/en/abs/causal-inference-via-algebraic-geometry-feasibility-tests-for-functional-causal-structures-with-two-binary-observed-variables-1506.03880</loc><lastmod>2017-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-inference-via-algebraic-geometry-feasibility-tests-for-functional-causal-structures-with-two-binary-observed-variables-1506.03880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-inference-via-algebraic-geometry-feasibility-tests-for-functional-causal-structures-with-two-binary-observed-variables-1506.03880"/></url>
<url><loc>https://scifaro.com/en/abs/robust-structured-low-rank-approximation-on-the-grassmannian-1506.03958</loc><lastmod>2015-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-structured-low-rank-approximation-on-the-grassmannian-1506.03958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-structured-low-rank-approximation-on-the-grassmannian-1506.03958"/></url>
<url><loc>https://scifaro.com/en/abs/mcmc-for-variationally-sparse-gaussian-processes-1506.04000</loc><lastmod>2015-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcmc-for-variationally-sparse-gaussian-processes-1506.04000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcmc-for-variationally-sparse-gaussian-processes-1506.04000"/></url>
<url><loc>https://scifaro.com/en/abs/linear-response-methods-for-accurate-covariance-estimates-from-mean-field-variational-bayes-1506.04088</loc><lastmod>2015-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-response-methods-for-accurate-covariance-estimates-from-mean-field-variational-bayes-1506.04088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-response-methods-for-accurate-covariance-estimates-from-mean-field-variational-bayes-1506.04088"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-properties-of-variational-approximations-of-gibbs-posteriors-1506.04091</loc><lastmod>2015-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-properties-of-variational-approximations-of-gibbs-posteriors-1506.04091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-properties-of-variational-approximations-of-gibbs-posteriors-1506.04091"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-stochastic-primal-dual-coordinate-descent-for-separable-saddle-point-problems-1506.04093</loc><lastmod>2015-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-stochastic-primal-dual-coordinate-descent-for-separable-saddle-point-problems-1506.04093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-stochastic-primal-dual-coordinate-descent-for-separable-saddle-point-problems-1506.04093"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-expectation-propagation-1506.04132</loc><lastmod>2015-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-expectation-propagation-1506.04132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-expectation-propagation-1506.04132"/></url>
<url><loc>https://scifaro.com/en/abs/exact-icl-maximization-in-a-non-stationary-time-extension-of-the-latent-block-model-for-dynamic-networks-1506.04138</loc><lastmod>2015-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-icl-maximization-in-a-non-stationary-time-extension-of-the-latent-block-model-for-dynamic-networks-1506.04138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-icl-maximization-in-a-non-stationary-time-extension-of-the-latent-block-model-for-dynamic-networks-1506.04138"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-accuracy-of-self-normalized-log-linear-models-1506.04147</loc><lastmod>2015-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-accuracy-of-self-normalized-log-linear-models-1506.04147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-accuracy-of-self-normalized-log-linear-models-1506.04147"/></url>
<url><loc>https://scifaro.com/en/abs/a-spectral-algorithm-with-additive-clustering-for-the-recovery-of-overlapping-communities-in-networks-1506.04158</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-spectral-algorithm-with-additive-clustering-for-the-recovery-of-overlapping-communities-in-networks-1506.04158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-spectral-algorithm-with-additive-clustering-for-the-recovery-of-overlapping-communities-in-networks-1506.04158"/></url>
<url><loc>https://scifaro.com/en/abs/using-the-mean-absolute-percentage-error-for-regression-models-1506.04176</loc><lastmod>2015-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-the-mean-absolute-percentage-error-for-regression-models-1506.04176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-the-mean-absolute-percentage-error-for-regression-models-1506.04176"/></url>
<url><loc>https://scifaro.com/en/abs/search-strategies-for-binary-feature-selection-for-a-naive-bayes-classifier-1506.04177</loc><lastmod>2015-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/search-strategies-for-binary-feature-selection-for-a-naive-bayes-classifier-1506.04177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/search-strategies-for-binary-feature-selection-for-a-naive-bayes-classifier-1506.04177"/></url>
<url><loc>https://scifaro.com/en/abs/a-flexible-and-efficient-algorithmic-framework-for-constrained-matrix-and-tensor-factorization-1506.04209</loc><lastmod>2016-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-flexible-and-efficient-algorithmic-framework-for-constrained-matrix-and-tensor-factorization-1506.04209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-flexible-and-efficient-algorithmic-framework-for-constrained-matrix-and-tensor-factorization-1506.04209"/></url>
<url><loc>https://scifaro.com/en/abs/online-matrix-factorization-via-broyden-updates-1506.04389</loc><lastmod>2015-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-matrix-factorization-via-broyden-updates-1506.04389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-matrix-factorization-via-broyden-updates-1506.04389"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-guaranteed-tensor-decomposition-via-sketching-1506.04448</loc><lastmod>2015-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-guaranteed-tensor-decomposition-via-sketching-1506.04448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-guaranteed-tensor-decomposition-via-sketching-1506.04448"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-pac-bayesian-perspective-on-domain-adaptation-1506.04573</loc><lastmod>2016-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-pac-bayesian-perspective-on-domain-adaptation-1506.04573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-pac-bayesian-perspective-on-domain-adaptation-1506.04573"/></url>
<url><loc>https://scifaro.com/en/abs/fast-two-sample-testing-with-analytic-representations-of-probability-measures-1506.04725</loc><lastmod>2015-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-two-sample-testing-with-analytic-representations-of-probability-measures-1506.04725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-two-sample-testing-with-analytic-representations-of-probability-measures-1506.04725"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-representation-learning-with-oracle-constraints-1506.05011</loc><lastmod>2016-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-representation-learning-with-oracle-constraints-1506.05011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-representation-learning-with-oracle-constraints-1506.05011"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-for-ridge-regression-with-provable-guarantees-1506.05173</loc><lastmod>2015-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-for-ridge-regression-with-provable-guarantees-1506.05173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-for-ridge-regression-with-provable-guarantees-1506.05173"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-false-discovery-rate-control-via-knockoff-aggregation-1506.05446</loc><lastmod>2015-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-false-discovery-rate-control-via-knockoff-aggregation-1506.05446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-false-discovery-rate-control-via-knockoff-aggregation-1506.05446"/></url>
<url><loc>https://scifaro.com/en/abs/causality-on-cross-sectional-data-stable-specification-search-in-constrained-structural-equation-modeling-1506.05600</loc><lastmod>2017-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causality-on-cross-sectional-data-stable-specification-search-in-constrained-structural-equation-modeling-1506.05600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causality-on-cross-sectional-data-stable-specification-search-in-constrained-structural-equation-modeling-1506.05600"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneous-estimation-of-non-gaussian-components-and-their-correlation-structure-1506.05666</loc><lastmod>2017-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneous-estimation-of-non-gaussian-components-and-their-correlation-structure-1506.05666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneous-estimation-of-non-gaussian-components-and-their-correlation-structure-1506.05666"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-algorithm-for-bayesian-network-structure-learning-with-application-to-multi-label-learning-1506.05692</loc><lastmod>2015-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-algorithm-for-bayesian-network-structure-learning-with-application-to-multi-label-learning-1506.05692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-algorithm-for-bayesian-network-structure-learning-with-application-to-multi-label-learning-1506.05692"/></url>
<url><loc>https://scifaro.com/en/abs/a-tree-augmented-naive-bayesian-network-experiment-for-breast-cancer-prediction-1506.05776</loc><lastmod>2015-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tree-augmented-naive-bayesian-network-experiment-for-breast-cancer-prediction-1506.05776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tree-augmented-naive-bayesian-network-experiment-for-breast-cancer-prediction-1506.05776"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-model-free-prediction-from-multivariate-time-series-1506.05822</loc><lastmod>2015-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-model-free-prediction-from-multivariate-time-series-1506.05822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-model-free-prediction-from-multivariate-time-series-1506.05822"/></url>
<url><loc>https://scifaro.com/en/abs/dependent-multinomial-models-made-easy-stick-breaking-with-the-p-olya-gamma-augmentation-1506.05843</loc><lastmod>2015-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dependent-multinomial-models-made-easy-stick-breaking-with-the-p-olya-gamma-augmentation-1506.05843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dependent-multinomial-models-made-easy-stick-breaking-with-the-p-olya-gamma-augmentation-1506.05843"/></url>
<url><loc>https://scifaro.com/en/abs/information-based-inference-for-singular-models-and-finite-sample-sizes-a-frequentist-information-criterion-1506.05855</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-based-inference-for-singular-models-and-finite-sample-sizes-a-frequentist-information-criterion-1506.05855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-based-inference-for-singular-models-and-finite-sample-sizes-a-frequentist-information-criterion-1506.05855"/></url>
<url><loc>https://scifaro.com/en/abs/variational-gaussian-copula-inference-1506.05860</loc><lastmod>2016-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-gaussian-copula-inference-1506.05860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-gaussian-copula-inference-1506.05860"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-for-clustering-a-statistical-framework-1506.05900</loc><lastmod>2015-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-for-clustering-a-statistical-framework-1506.05900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-for-clustering-a-statistical-framework-1506.05900"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-decomposing-nonparametric-tensor-regression-1506.05967</loc><lastmod>2016-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-decomposing-nonparametric-tensor-regression-1506.05967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-decomposing-nonparametric-tensor-regression-1506.05967"/></url>
<url><loc>https://scifaro.com/en/abs/a-convergent-gradient-descent-algorithm-for-rank-minimization-and-semidefinite-programming-from-random-linear-measurements-1506.06081</loc><lastmod>2016-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convergent-gradient-descent-algorithm-for-rank-minimization-and-semidefinite-programming-from-random-linear-measurements-1506.06081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convergent-gradient-descent-algorithm-for-rank-minimization-and-semidefinite-programming-from-random-linear-measurements-1506.06081"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-inference-with-the-variational-holder-bound-1506.06100</loc><lastmod>2015-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-inference-with-the-variational-holder-bound-1506.06100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-inference-with-the-variational-holder-bound-1506.06100"/></url>
<url><loc>https://scifaro.com/en/abs/detectability-thresholds-and-optimal-algorithms-for-community-structure-in-dynamic-networks-1506.06179</loc><lastmod>2016-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detectability-thresholds-and-optimal-algorithms-for-community-structure-in-dynamic-networks-1506.06179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detectability-thresholds-and-optimal-algorithms-for-community-structure-in-dynamic-networks-1506.06179"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-hartigan-consistency-merge-distortion-metric-for-hierarchical-clustering-1506.06422</loc><lastmod>2015-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-hartigan-consistency-merge-distortion-metric-for-hierarchical-clustering-1506.06422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-hartigan-consistency-merge-distortion-metric-for-hierarchical-clustering-1506.06422"/></url>
<url><loc>https://scifaro.com/en/abs/graphs-in-machine-learning-an-introduction-1506.06962</loc><lastmod>2015-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphs-in-machine-learning-an-introduction-1506.06962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphs-in-machine-learning-an-introduction-1506.06962"/></url>
<url><loc>https://scifaro.com/en/abs/gefcom-2014-probabilistic-electricity-price-forecasting-1506.06972</loc><lastmod>2015-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gefcom-2014-probabilistic-electricity-price-forecasting-1506.06972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gefcom-2014-probabilistic-electricity-price-forecasting-1506.06972"/></url>
<url><loc>https://scifaro.com/en/abs/benchmark-of-structured-machine-learning-methods-for-microbial-identification-from-mass-spectrometry-data-1506.07251</loc><lastmod>2015-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmark-of-structured-machine-learning-methods-for-microbial-identification-from-mass-spectrometry-data-1506.07251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmark-of-structured-machine-learning-methods-for-microbial-identification-from-mass-spectrometry-data-1506.07251"/></url>
<url><loc>https://scifaro.com/en/abs/objective-variables-for-probabilistic-revenue-maximization-in-second-price-auctions-with-reserve-1506.07504</loc><lastmod>2015-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/objective-variables-for-probabilistic-revenue-maximization-in-second-price-auctions-with-reserve-1506.07504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/objective-variables-for-probabilistic-revenue-maximization-in-second-price-auctions-with-reserve-1506.07504"/></url>
<url><loc>https://scifaro.com/en/abs/un-regularizing-approximate-proximal-point-and-faster-stochastic-algorithms-for-empirical-risk-minimization-1506.07512</loc><lastmod>2015-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/un-regularizing-approximate-proximal-point-and-faster-stochastic-algorithms-for-empirical-risk-minimization-1506.07512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/un-regularizing-approximate-proximal-point-and-faster-stochastic-algorithms-for-empirical-risk-minimization-1506.07512"/></url>
<url><loc>https://scifaro.com/en/abs/joint-community-and-anomaly-tracking-in-dynamic-networks-1506.07611</loc><lastmod>2016-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-community-and-anomaly-tracking-in-dynamic-networks-1506.07611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-community-and-anomaly-tracking-in-dynamic-networks-1506.07611"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-optimization-for-gaussian-mixture-models-1506.07677</loc><lastmod>2015-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-optimization-for-gaussian-mixture-models-1506.07677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-optimization-for-gaussian-mixture-models-1506.07677"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-aware-learning-with-restriction-of-universal-dependency-using-f-divergences-1506.07721</loc><lastmod>2015-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-aware-learning-with-restriction-of-universal-dependency-using-f-divergences-1506.07721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-aware-learning-with-restriction-of-universal-dependency-using-f-divergences-1506.07721"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-nets-1506.07840</loc><lastmod>2015-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-nets-1506.07840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-nets-1506.07840"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-structured-normal-means-inference-1506.07902</loc><lastmod>2016-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-structured-normal-means-inference-1506.07902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-structured-normal-means-inference-1506.07902"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-categorical-data-via-ensembling-dissimilarity-matrices-1506.07930</loc><lastmod>2017-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-categorical-data-via-ensembling-dissimilarity-matrices-1506.07930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-categorical-data-via-ensembling-dissimilarity-matrices-1506.07930"/></url>
<url><loc>https://scifaro.com/en/abs/principal-geodesic-analysis-for-probability-measures-under-the-optimal-transport-metric-1506.07944</loc><lastmod>2015-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principal-geodesic-analysis-for-probability-measures-under-the-optimal-transport-metric-1506.07944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principal-geodesic-analysis-for-probability-measures-under-the-optimal-transport-metric-1506.07944"/></url>
<url><loc>https://scifaro.com/en/abs/factorized-asymptotic-bayesian-inference-for-factorial-hidden-markov-models-1506.07959</loc><lastmod>2015-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factorized-asymptotic-bayesian-inference-for-factorial-hidden-markov-models-1506.07959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factorized-asymptotic-bayesian-inference-for-factorial-hidden-markov-models-1506.07959"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-post-selection-inference-on-high-order-interaction-models-1506.07997</loc><lastmod>2015-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-post-selection-inference-on-high-order-interaction-models-1506.07997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-post-selection-inference-on-high-order-interaction-models-1506.07997"/></url>
<url><loc>https://scifaro.com/en/abs/safe-feature-pruning-for-sparse-high-order-interaction-models-1506.08002</loc><lastmod>2015-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-feature-pruning-for-sparse-high-order-interaction-models-1506.08002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-feature-pruning-for-sparse-high-order-interaction-models-1506.08002"/></url>
<url><loc>https://scifaro.com/en/abs/finding-linear-structure-in-large-datasets-with-scalable-canonical-correlation-analysis-1506.08170</loc><lastmod>2015-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-linear-structure-in-large-datasets-with-scalable-canonical-correlation-analysis-1506.08170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-linear-structure-in-large-datasets-with-scalable-canonical-correlation-analysis-1506.08170"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-study-of-stochastic-variational-algorithms-for-the-beta-bernoulli-process-1506.08180</loc><lastmod>2015-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-study-of-stochastic-variational-algorithms-for-the-beta-bernoulli-process-1506.08180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-study-of-stochastic-variational-algorithms-for-the-beta-bernoulli-process-1506.08180"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-analysis-of-preconditioned-successive-projection-algorithm-for-general-form-of-separable-nmf-problem-1506.08387</loc><lastmod>2016-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-analysis-of-preconditioned-successive-projection-algorithm-for-general-form-of-separable-nmf-problem-1506.08387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-analysis-of-preconditioned-successive-projection-algorithm-for-general-form-of-separable-nmf-problem-1506.08387"/></url>
<url><loc>https://scifaro.com/en/abs/neural-simpletrons-minimalistic-directed-generative-networks-for-learning-with-few-labels-1506.08448</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-simpletrons-minimalistic-directed-generative-networks-for-learning-with-few-labels-1506.08448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-simpletrons-minimalistic-directed-generative-networks-for-learning-with-few-labels-1506.08448"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-yet-efficient-algorithm-for-multiple-kernel-learning-under-elastic-net-constraints-1506.08536</loc><lastmod>2019-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-yet-efficient-algorithm-for-multiple-kernel-learning-under-elastic-net-constraints-1506.08536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-yet-efficient-algorithm-for-multiple-kernel-learning-under-elastic-net-constraints-1506.08536"/></url>
<url><loc>https://scifaro.com/en/abs/exact-and-approximate-inference-in-graphical-models-variable-elimination-and-beyond-1506.08544</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-and-approximate-inference-in-graphical-models-variable-elimination-and-beyond-1506.08544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-and-approximate-inference-in-graphical-models-variable-elimination-and-beyond-1506.08544"/></url>
<url><loc>https://scifaro.com/en/abs/dropout-as-data-augmentation-1506.08700</loc><lastmod>2016-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropout-as-data-augmentation-1506.08700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropout-as-data-augmentation-1506.08700"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-nonparametric-kernel-learning-1506.08776</loc><lastmod>2018-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-nonparametric-kernel-learning-1506.08776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-nonparametric-kernel-learning-1506.08776"/></url>
<url><loc>https://scifaro.com/en/abs/learning-single-index-models-in-high-dimensions-1506.08910</loc><lastmod>2015-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-single-index-models-in-high-dimensions-1506.08910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-single-index-models-in-high-dimensions-1506.08910"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-discrete-sampling-as-a-multi-armed-bandit-problem-1506.09039</loc><lastmod>2016-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-discrete-sampling-as-a-multi-armed-bandit-problem-1506.09039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-discrete-sampling-as-a-multi-armed-bandit-problem-1506.09039"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-equivalence-of-factorized-information-criterion-regularization-and-the-chinese-restaurant-process-prior-1506.09068</loc><lastmod>2015-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-equivalence-of-factorized-information-criterion-regularization-and-the-chinese-restaurant-process-prior-1506.09068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-equivalence-of-factorized-information-criterion-regularization-and-the-chinese-restaurant-process-prior-1506.09068"/></url>
<url><loc>https://scifaro.com/en/abs/framework-for-multi-task-multiple-kernel-learning-and-applications-in-genome-analysis-1506.09153</loc><lastmod>2015-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/framework-for-multi-task-multiple-kernel-learning-and-applications-in-genome-analysis-1506.09153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/framework-for-multi-task-multiple-kernel-learning-and-applications-in-genome-analysis-1506.09153"/></url>
<url><loc>https://scifaro.com/en/abs/selective-inference-and-learning-mixed-graphical-models-1507.00039</loc><lastmod>2015-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selective-inference-and-learning-mixed-graphical-models-1507.00039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selective-inference-and-learning-mixed-graphical-models-1507.00039"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-for-noisy-inputs-with-ordering-constraints-1507.00052</loc><lastmod>2015-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-for-noisy-inputs-with-ordering-constraints-1507.00052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-for-noisy-inputs-with-ordering-constraints-1507.00052"/></url>
<url><loc>https://scifaro.com/en/abs/fast-cross-validation-for-incremental-learning-1507.00066</loc><lastmod>2015-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-cross-validation-for-incremental-learning-1507.00066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-cross-validation-for-incremental-learning-1507.00066"/></url>
<url><loc>https://scifaro.com/en/abs/natural-neural-networks-1507.00210</loc><lastmod>2015-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/natural-neural-networks-1507.00210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/natural-neural-networks-1507.00210"/></url>
<url><loc>https://scifaro.com/en/abs/bigeometric-organization-of-deep-nets-1507.00220</loc><lastmod>2015-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bigeometric-organization-of-deep-nets-1507.00220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bigeometric-organization-of-deep-nets-1507.00220"/></url>
<url><loc>https://scifaro.com/en/abs/bootstrapped-thompson-sampling-and-deep-exploration-1507.00300</loc><lastmod>2015-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bootstrapped-thompson-sampling-and-deep-exploration-1507.00300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bootstrapped-thompson-sampling-and-deep-exploration-1507.00300"/></url>
<url><loc>https://scifaro.com/en/abs/identification-of-stable-models-via-nonparametric-prediction-error-methods-1507.00507</loc><lastmod>2015-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identification-of-stable-models-via-nonparametric-prediction-error-methods-1507.00507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identification-of-stable-models-via-nonparametric-prediction-error-methods-1507.00507"/></url>
<url><loc>https://scifaro.com/en/abs/classical-vs-bayesian-methods-for-linear-system-identification-point-estimators-and-confidence-sets-1507.00543</loc><lastmod>2015-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classical-vs-bayesian-methods-for-linear-system-identification-point-estimators-and-confidence-sets-1507.00543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classical-vs-bayesian-methods-for-linear-system-identification-point-estimators-and-confidence-sets-1507.00543"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-and-removal-using-non-stationary-gaussian-processes-1507.00566</loc><lastmod>2015-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-and-removal-using-non-stationary-gaussian-processes-1507.00566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-and-removal-using-non-stationary-gaussian-processes-1507.00566"/></url>
<url><loc>https://scifaro.com/en/abs/distributional-smoothing-with-virtual-adversarial-training-1507.00677</loc><lastmod>2016-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributional-smoothing-with-virtual-adversarial-training-1507.00677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributional-smoothing-with-virtual-adversarial-training-1507.00677"/></url>
<url><loc>https://scifaro.com/en/abs/correlated-random-measures-1507.00720</loc><lastmod>2016-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlated-random-measures-1507.00720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlated-random-measures-1507.00720"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-the-number-of-communities-in-networks-by-spectral-methods-1507.00827</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-the-number-of-communities-in-networks-by-spectral-methods-1507.00827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-the-number-of-communities-in-networks-by-spectral-methods-1507.00827"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-approach-to-probabilistic-programming-inference-1507.00996</loc><lastmod>2015-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-approach-to-probabilistic-programming-inference-1507.00996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-approach-to-probabilistic-programming-inference-1507.00996"/></url>
<url><loc>https://scifaro.com/en/abs/remarks-on-kernel-bayes-rule-1507.01059</loc><lastmod>2018-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/remarks-on-kernel-bayes-rule-1507.01059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/remarks-on-kernel-bayes-rule-1507.01059"/></url>
<url><loc>https://scifaro.com/en/abs/convex-factorization-machine-for-regression-1507.01073</loc><lastmod>2016-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-factorization-machine-for-regression-1507.01073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-factorization-machine-for-regression-1507.01073"/></url>
<url><loc>https://scifaro.com/en/abs/subspace-sparse-representation-1507.01307</loc><lastmod>2015-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subspace-sparse-representation-1507.01307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subspace-sparse-representation-1507.01307"/></url>
<url><loc>https://scifaro.com/en/abs/semiblind-hyperspectral-unmixing-in-the-presence-of-spectral-library-mismatches-1507.01661</loc><lastmod>2016-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semiblind-hyperspectral-unmixing-in-the-presence-of-spectral-library-mismatches-1507.01661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semiblind-hyperspectral-unmixing-in-the-presence-of-spectral-library-mismatches-1507.01661"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-lda-moment-matching-for-discrete-ica-1507.01784</loc><lastmod>2015-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-lda-moment-matching-for-discrete-ica-1507.01784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-lda-moment-matching-for-discrete-ica-1507.01784"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-training-of-boltzmann-machines-1507.01972</loc><lastmod>2015-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-training-of-boltzmann-machines-1507.01972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-training-of-boltzmann-machines-1507.01972"/></url>
<url><loc>https://scifaro.com/en/abs/autocompete-a-framework-for-machine-learning-competition-1507.02188</loc><lastmod>2015-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autocompete-a-framework-for-machine-learning-competition-1507.02188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autocompete-a-framework-for-machine-learning-competition-1507.02188"/></url>
<url><loc>https://scifaro.com/en/abs/the-information-sieve-1507.02284</loc><lastmod>2016-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-information-sieve-1507.02284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-information-sieve-1507.02284"/></url>
<url><loc>https://scifaro.com/en/abs/intrinsic-non-stationary-covariance-function-for-climate-modeling-1507.02356</loc><lastmod>2015-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrinsic-non-stationary-covariance-function-for-climate-modeling-1507.02356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrinsic-non-stationary-covariance-function-for-climate-modeling-1507.02356"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-mixtures-of-factor-analyzers-1507.02801</loc><lastmod>2015-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-mixtures-of-factor-analyzers-1507.02801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-mixtures-of-factor-analyzers-1507.02801"/></url>
<url><loc>https://scifaro.com/en/abs/completely-random-measures-for-modelling-block-structured-networks-1507.02925</loc><lastmod>2015-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/completely-random-measures-for-modelling-block-structured-networks-1507.02925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/completely-random-measures-for-modelling-block-structured-networks-1507.02925"/></url>
<url><loc>https://scifaro.com/en/abs/tight-risk-bounds-for-multi-class-margin-classifiers-1507.03040</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-risk-bounds-for-multi-class-margin-classifiers-1507.03040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-risk-bounds-for-multi-class-margin-classifiers-1507.03040"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-use-of-harrell-s-c-for-clinical-risk-prediction-via-random-survival-forests-1507.03092</loc><lastmod>2016-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-use-of-harrell-s-c-for-clinical-risk-prediction-via-random-survival-forests-1507.03092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-use-of-harrell-s-c-for-clinical-risk-prediction-via-random-survival-forests-1507.03092"/></url>
<url><loc>https://scifaro.com/en/abs/dependent-indian-buffet-process-based-sparse-nonparametric-nonnegative-matrix-factorization-1507.03176</loc><lastmod>2015-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dependent-indian-buffet-process-based-sparse-nonparametric-nonnegative-matrix-factorization-1507.03176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dependent-indian-buffet-process-based-sparse-nonparametric-nonnegative-matrix-factorization-1507.03176"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-nonnegative-matrix-factorization-methods-for-clustering-1507.03194</loc><lastmod>2015-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-nonnegative-matrix-factorization-methods-for-clustering-1507.03194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-nonnegative-matrix-factorization-methods-for-clustering-1507.03194"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-bayesian-inference-for-excitatory-point-process-networks-1507.03228</loc><lastmod>2015-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-bayesian-inference-for-excitatory-point-process-networks-1507.03228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-bayesian-inference-for-excitatory-point-process-networks-1507.03228"/></url>
<url><loc>https://scifaro.com/en/abs/homotopy-continuation-approaches-for-robust-sv-classification-and-regression-1507.03229</loc><lastmod>2015-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/homotopy-continuation-approaches-for-robust-sv-classification-and-regression-1507.03229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/homotopy-continuation-approaches-for-robust-sv-classification-and-regression-1507.03229"/></url>
<url><loc>https://scifaro.com/en/abs/scatter-matrix-concordance-a-diagnostic-for-regressions-on-subsets-of-data-1507.03285</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scatter-matrix-concordance-a-diagnostic-for-regressions-on-subsets-of-data-1507.03285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scatter-matrix-concordance-a-diagnostic-for-regressions-on-subsets-of-data-1507.03285"/></url>
<url><loc>https://scifaro.com/en/abs/minimum-density-hyperplanes-1507.04201</loc><lastmod>2016-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimum-density-hyperplanes-1507.04201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimum-density-hyperplanes-1507.04201"/></url>
<url><loc>https://scifaro.com/en/abs/the-role-of-principal-angles-in-subspace-classification-1507.04230</loc><lastmod>2016-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-principal-angles-in-subspace-classification-1507.04230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-principal-angles-in-subspace-classification-1507.04230"/></url>
<url><loc>https://scifaro.com/en/abs/joint-tensor-factorization-and-outlying-slab-suppression-with-applications-1507.04436</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-tensor-factorization-and-outlying-slab-suppression-with-applications-1507.04436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-tensor-factorization-and-outlying-slab-suppression-with-applications-1507.04436"/></url>
<url><loc>https://scifaro.com/en/abs/preference-completion-large-scale-collaborative-ranking-from-pairwise-comparisons-1507.04457</loc><lastmod>2015-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preference-completion-large-scale-collaborative-ranking-from-pairwise-comparisons-1507.04457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preference-completion-large-scale-collaborative-ranking-from-pairwise-comparisons-1507.04457"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-stochastic-variational-inference-in-bayesian-networks-1507.04505</loc><lastmod>2015-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-stochastic-variational-inference-in-bayesian-networks-1507.04505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-stochastic-variational-inference-in-bayesian-networks-1507.04505"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-gaussian-process-classification-via-expectation-propagation-1507.04513</loc><lastmod>2015-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-gaussian-process-classification-via-expectation-propagation-1507.04513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-gaussian-process-classification-via-expectation-propagation-1507.04513"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-policy-search-with-probabilistic-programs-1507.04635</loc><lastmod>2016-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-policy-search-with-probabilistic-programs-1507.04635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-policy-search-with-probabilistic-programs-1507.04635"/></url>
<url><loc>https://scifaro.com/en/abs/less-is-more-nystr-om-computational-regularization-1507.04717</loc><lastmod>2016-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/less-is-more-nystr-om-computational-regularization-1507.04717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/less-is-more-nystr-om-computational-regularization-1507.04717"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-probit-linear-mixed-model-1507.04777</loc><lastmod>2017-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-probit-linear-mixed-model-1507.04777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-probit-linear-mixed-model-1507.04777"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-variational-inference-for-latent-dirichlet-allocation-1507.05016</loc><lastmod>2015-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-variational-inference-for-latent-dirichlet-allocation-1507.05016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-variational-inference-for-latent-dirichlet-allocation-1507.05016"/></url>
<url><loc>https://scifaro.com/en/abs/fast-approximate-bayesian-computation-for-estimating-parameters-in-differential-equations-1507.05117</loc><lastmod>2015-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-approximate-bayesian-computation-for-estimating-parameters-in-differential-equations-1507.05117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-approximate-bayesian-computation-for-estimating-parameters-in-differential-equations-1507.05117"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-estimation-of-low-rank-density-matrices-1507.05131</loc><lastmod>2016-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-estimation-of-low-rank-density-matrices-1507.05131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-estimation-of-low-rank-density-matrices-1507.05131"/></url>
<url><loc>https://scifaro.com/en/abs/the-mondrian-process-for-machine-learning-1507.05181</loc><lastmod>2015-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-mondrian-process-for-machine-learning-1507.05181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-mondrian-process-for-machine-learning-1507.05181"/></url>
<url><loc>https://scifaro.com/en/abs/the-population-posterior-and-bayesian-inference-on-streams-1507.05253</loc><lastmod>2015-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-population-posterior-and-bayesian-inference-on-streams-1507.05253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-population-posterior-and-bayesian-inference-on-streams-1507.05253"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-constraints-mechanisms-for-fair-classification-1507.05259</loc><lastmod>2017-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-constraints-mechanisms-for-fair-classification-1507.05259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-constraints-mechanisms-for-fair-classification-1507.05259"/></url>
<url><loc>https://scifaro.com/en/abs/fast-adaptive-weight-noise-1507.05331</loc><lastmod>2015-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-adaptive-weight-noise-1507.05331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-adaptive-weight-noise-1507.05331"/></url>
<url><loc>https://scifaro.com/en/abs/invariant-models-for-causal-transfer-learning-1507.05333</loc><lastmod>2018-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invariant-models-for-causal-transfer-learning-1507.05333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invariant-models-for-causal-transfer-learning-1507.05333"/></url>
<url><loc>https://scifaro.com/en/abs/canonical-correlation-forests-1507.05444</loc><lastmod>2017-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/canonical-correlation-forests-1507.05444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/canonical-correlation-forests-1507.05444"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-minimax-risk-of-dictionary-learning-1507.05498</loc><lastmod>2015-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-minimax-risk-of-dictionary-learning-1507.05498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-minimax-risk-of-dictionary-learning-1507.05498"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-importance-sampling-1507.05781</loc><lastmod>2015-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-importance-sampling-1507.05781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-importance-sampling-1507.05781"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-convolution-model-for-decoding-sounds-from-time-varying-neural-responses-1507.05869</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-convolution-model-for-decoding-sounds-from-time-varying-neural-responses-1507.05869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-convolution-model-for-decoding-sounds-from-time-varying-neural-responses-1507.05869"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-perspective-of-sampling-scores-for-linear-regression-1507.05870</loc><lastmod>2016-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-perspective-of-sampling-scores-for-linear-regression-1507.05870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-perspective-of-sampling-scores-for-linear-regression-1507.05870"/></url>
<url><loc>https://scifaro.com/en/abs/sparsity-in-multivariate-extremes-with-applications-to-anomaly-detection-1507.05899</loc><lastmod>2016-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsity-in-multivariate-extremes-with-applications-to-anomaly-detection-1507.05899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsity-in-multivariate-extremes-with-applications-to-anomaly-detection-1507.05899"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-worst-case-approximability-of-sparse-pca-1507.05950</loc><lastmod>2015-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-worst-case-approximability-of-sparse-pca-1507.05950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-worst-case-approximability-of-sparse-pca-1507.05950"/></url>
<url><loc>https://scifaro.com/en/abs/mixest-an-estimation-toolbox-for-mixture-models-1507.06065</loc><lastmod>2015-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixest-an-estimation-toolbox-for-mixture-models-1507.06065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixest-an-estimation-toolbox-for-mixture-models-1507.06065"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-of-spectral-learning-for-the-identification-of-hidden-markov-models-1507.06346</loc><lastmod>2015-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-of-spectral-learning-for-the-identification-of-hidden-markov-models-1507.06346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-of-spectral-learning-for-the-identification-of-hidden-markov-models-1507.06346"/></url>
<url><loc>https://scifaro.com/en/abs/admissibility-of-a-posterior-predictive-decision-rule-1507.06350</loc><lastmod>2017-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/admissibility-of-a-posterior-predictive-decision-rule-1507.06350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/admissibility-of-a-posterior-predictive-decision-rule-1507.06350"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-matrix-factorization-with-priors-on-unknown-values-1507.06452</loc><lastmod>2015-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-matrix-factorization-with-priors-on-unknown-values-1507.06452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-matrix-factorization-with-priors-on-unknown-values-1507.06452"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-learning-rates-for-localized-svms-1507.06615</loc><lastmod>2015-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-learning-rates-for-localized-svms-1507.06615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-learning-rates-for-localized-svms-1507.06615"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-of-modal-valued-symbolic-data-1507.06683</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-of-modal-valued-symbolic-data-1507.06683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-of-modal-valued-symbolic-data-1507.06683"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-analysis-of-outliers-1507.06763</loc><lastmod>2015-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-analysis-of-outliers-1507.06763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-analysis-of-outliers-1507.06763"/></url>
<url><loc>https://scifaro.com/en/abs/implicitly-constrained-semi-supervised-least-squares-classification-1507.06802</loc><lastmod>2015-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicitly-constrained-semi-supervised-least-squares-classification-1507.06802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicitly-constrained-semi-supervised-least-squares-classification-1507.06802"/></url>
<url><loc>https://scifaro.com/en/abs/perturbed-iterate-analysis-for-asynchronous-stochastic-optimization-1507.06970</loc><lastmod>2016-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perturbed-iterate-analysis-for-asynchronous-stochastic-optimization-1507.06970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perturbed-iterate-analysis-for-asynchronous-stochastic-optimization-1507.06970"/></url>
<url><loc>https://scifaro.com/en/abs/string-and-membrane-gaussian-processes-1507.06977</loc><lastmod>2016-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/string-and-membrane-gaussian-processes-1507.06977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/string-and-membrane-gaussian-processes-1507.06977"/></url>
<url><loc>https://scifaro.com/en/abs/dimensionality-reduced-subspace-clustering-1507.07105</loc><lastmod>2015-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimensionality-reduced-subspace-clustering-1507.07105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimensionality-reduced-subspace-clustering-1507.07105"/></url>
<url><loc>https://scifaro.com/en/abs/reduced-set-kernel-principal-components-analysis-for-improving-the-training-and-execution-speed-of-kernel-machines-1507.07260</loc><lastmod>2015-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reduced-set-kernel-principal-components-analysis-for-improving-the-training-and-execution-speed-of-kernel-machines-1507.07260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reduced-set-kernel-principal-components-analysis-for-improving-the-training-and-execution-speed-of-kernel-machines-1507.07260"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-an-activity-driven-hidden-markov-model-1507.07495</loc><lastmod>2015-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-an-activity-driven-hidden-markov-model-1507.07495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-an-activity-driven-hidden-markov-model-1507.07495"/></url>
<url><loc>https://scifaro.com/en/abs/an-analytically-tractable-bayesian-approximation-to-optimal-point-process-filtering-1507.07813</loc><lastmod>2015-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-analytically-tractable-bayesian-approximation-to-optimal-point-process-filtering-1507.07813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-analytically-tractable-bayesian-approximation-to-optimal-point-process-filtering-1507.07813"/></url>
<url><loc>https://scifaro.com/en/abs/an-algorithm-for-online-tensor-prediction-1507.07974</loc><lastmod>2015-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-algorithm-for-online-tensor-prediction-1507.07974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-algorithm-for-online-tensor-prediction-1507.07974"/></url>
<url><loc>https://scifaro.com/en/abs/it-dendrogram-a-new-member-of-the-in-tree-it-clustering-family-1507.08155</loc><lastmod>2015-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/it-dendrogram-a-new-member-of-the-in-tree-it-clustering-family-1507.08155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/it-dendrogram-a-new-member-of-the-in-tree-it-clustering-family-1507.08155"/></url>
<url><loc>https://scifaro.com/en/abs/context-aware-learning-for-generative-models-1507.08272</loc><lastmod>2020-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-aware-learning-for-generative-models-1507.08272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-aware-learning-for-generative-models-1507.08272"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-multi-task-learning-for-multi-dimensional-log-density-gradient-estimation-1508.00085</loc><lastmod>2015-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-multi-task-learning-for-multi-dimensional-log-density-gradient-estimation-1508.00085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-multi-task-learning-for-multi-dimensional-log-density-gradient-estimation-1508.00085"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-modeling-with-undecimated-fully-convolutional-neural-networks-1508.00317</loc><lastmod>2015-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-modeling-with-undecimated-fully-convolutional-neural-networks-1508.00317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-modeling-with-undecimated-fully-convolutional-neural-networks-1508.00317"/></url>
<url><loc>https://scifaro.com/en/abs/integrated-inference-and-learning-of-neural-factors-in-structural-support-vector-machines-1508.00451</loc><lastmod>2016-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrated-inference-and-learning-of-neural-factors-in-structural-support-vector-machines-1508.00451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrated-inference-and-learning-of-neural-factors-in-structural-support-vector-machines-1508.00451"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-pca-via-bipartite-matchings-1508.00625</loc><lastmod>2015-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-pca-via-bipartite-matchings-1508.00625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-pca-via-bipartite-matchings-1508.00625"/></url>
<url><loc>https://scifaro.com/en/abs/structured-prediction-from-gaussian-perturbations-to-linear-time-principled-algorithms-1508.00945</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-prediction-from-gaussian-perturbations-to-linear-time-principled-algorithms-1508.00945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-prediction-from-gaussian-perturbations-to-linear-time-principled-algorithms-1508.00945"/></url>
<url><loc>https://scifaro.com/en/abs/direct-estimation-of-the-derivative-of-quadratic-mutual-information-with-application-in-supervised-dimension-reduction-1508.01019</loc><lastmod>2015-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/direct-estimation-of-the-derivative-of-quadratic-mutual-information-with-application-in-supervised-dimension-reduction-1508.01019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/direct-estimation-of-the-derivative-of-quadratic-mutual-information-with-application-in-supervised-dimension-reduction-1508.01019"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-similarity-for-absent-data-generation-in-imbalanced-classification-1508.01235</loc><lastmod>2019-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-similarity-for-absent-data-generation-in-imbalanced-classification-1508.01235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-similarity-for-absent-data-generation-in-imbalanced-classification-1508.01235"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-framework-for-functional-calibration-of-expensive-computational-models-through-non-isometric-matching-1508.01240</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-framework-for-functional-calibration-of-expensive-computational-models-through-non-isometric-matching-1508.01240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-framework-for-functional-calibration-of-expensive-computational-models-through-non-isometric-matching-1508.01240"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-pseudo-input-local-kriging-for-large-spatial-datasets-with-exogenous-variables-1508.01248</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-pseudo-input-local-kriging-for-large-spatial-datasets-with-exogenous-variables-1508.01248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-pseudo-input-local-kriging-for-large-spatial-datasets-with-exogenous-variables-1508.01248"/></url>
<url><loc>https://scifaro.com/en/abs/sublinear-partition-estimation-1508.01596</loc><lastmod>2015-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sublinear-partition-estimation-1508.01596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sublinear-partition-estimation-1508.01596"/></url>
<url><loc>https://scifaro.com/en/abs/distributional-equivalence-and-structure-learning-for-bow-free-acyclic-path-diagrams-1508.01717</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributional-equivalence-and-structure-learning-for-bow-free-acyclic-path-diagrams-1508.01717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributional-equivalence-and-structure-learning-for-bow-free-acyclic-path-diagrams-1508.01717"/></url>
<url><loc>https://scifaro.com/en/abs/an-end-to-end-neural-network-for-polyphonic-piano-music-transcription-1508.01774</loc><lastmod>2016-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-end-to-end-neural-network-for-polyphonic-piano-music-transcription-1508.01774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-end-to-end-neural-network-for-polyphonic-piano-music-transcription-1508.01774"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-maximum-correntropy-criterion-algorithms-for-robust-distributed-estimation-1508.01903</loc><lastmod>2016-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-maximum-correntropy-criterion-algorithms-for-robust-distributed-estimation-1508.01903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-maximum-correntropy-criterion-algorithms-for-robust-distributed-estimation-1508.01903"/></url>
<url><loc>https://scifaro.com/en/abs/improving-decision-analytics-with-deep-learning-the-case-of-financial-disclosures-1508.01993</loc><lastmod>2018-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-decision-analytics-with-deep-learning-the-case-of-financial-disclosures-1508.01993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-decision-analytics-with-deep-learning-the-case-of-financial-disclosures-1508.01993"/></url>
<url><loc>https://scifaro.com/en/abs/local-algorithms-for-block-models-with-side-information-1508.02344</loc><lastmod>2015-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-algorithms-for-block-models-with-side-information-1508.02344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-algorithms-for-block-models-with-side-information-1508.02344"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-rates-of-sub-sampled-newton-methods-1508.02810</loc><lastmod>2015-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-rates-of-sub-sampled-newton-methods-1508.02810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-rates-of-sub-sampled-newton-methods-1508.02810"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-dropout-1508.02905</loc><lastmod>2022-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-dropout-1508.02905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-dropout-1508.02905"/></url>
<url><loc>https://scifaro.com/en/abs/no-regret-bound-for-extreme-bandits-1508.02933</loc><lastmod>2016-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-regret-bound-for-extreme-bandits-1508.02933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-regret-bound-for-extreme-bandits-1508.02933"/></url>
<url><loc>https://scifaro.com/en/abs/neyman-pearson-classification-under-high-dimensional-settings-1508.03106</loc><lastmod>2015-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neyman-pearson-classification-under-high-dimensional-settings-1508.03106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neyman-pearson-classification-under-high-dimensional-settings-1508.03106"/></url>
<url><loc>https://scifaro.com/en/abs/emphatic-td-bellman-operator-is-a-contraction-1508.03411</loc><lastmod>2015-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emphatic-td-bellman-operator-is-a-contraction-1508.03411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emphatic-td-bellman-operator-is-a-contraction-1508.03411"/></url>
<url><loc>https://scifaro.com/en/abs/unbounded-bayesian-optimization-via-regularization-1508.03666</loc><lastmod>2015-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbounded-bayesian-optimization-via-regularization-1508.03666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbounded-bayesian-optimization-via-regularization-1508.03666"/></url>
<url><loc>https://scifaro.com/en/abs/towards-an-axiomatic-approach-to-hierarchical-clustering-of-measures-1508.03712</loc><lastmod>2016-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-an-axiomatic-approach-to-hierarchical-clustering-of-measures-1508.03712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-an-axiomatic-approach-to-hierarchical-clustering-of-measures-1508.03712"/></url>
<url><loc>https://scifaro.com/en/abs/zero-truncated-poisson-tensor-factorization-for-massive-binary-tensors-1508.04210</loc><lastmod>2015-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-truncated-poisson-tensor-factorization-for-massive-binary-tensors-1508.04210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-truncated-poisson-tensor-factorization-for-massive-binary-tensors-1508.04210"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-bayesian-non-negative-tensor-factorization-for-massive-count-data-1508.04211</loc><lastmod>2015-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-bayesian-non-negative-tensor-factorization-for-massive-count-data-1508.04211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-bayesian-non-negative-tensor-factorization-for-massive-count-data-1508.04211"/></url>
<url><loc>https://scifaro.com/en/abs/non-stationary-gaussian-process-regression-with-hamiltonian-monte-carlo-1508.04319</loc><lastmod>2015-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-stationary-gaussian-process-regression-with-hamiltonian-monte-carlo-1508.04319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-stationary-gaussian-process-regression-with-hamiltonian-monte-carlo-1508.04319"/></url>
<url><loc>https://scifaro.com/en/abs/ranger-a-fast-implementation-of-random-forests-for-high-dimensional-data-in-c-and-r-1508.04409</loc><lastmod>2018-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranger-a-fast-implementation-of-random-forests-for-high-dimensional-data-in-c-and-r-1508.04409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranger-a-fast-implementation-of-random-forests-for-high-dimensional-data-in-c-and-r-1508.04409"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-out-of-sample-extension-of-graph-embeddings-using-deep-neural-networks-1508.04422</loc><lastmod>2016-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-out-of-sample-extension-of-graph-embeddings-using-deep-neural-networks-1508.04422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-out-of-sample-extension-of-graph-embeddings-using-deep-neural-networks-1508.04422"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-spike-and-slab-priors-for-multiple-measurement-vector-problems-1508.04556</loc><lastmod>2015-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-spike-and-slab-priors-for-multiple-measurement-vector-problems-1508.04556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-spike-and-slab-priors-for-multiple-measurement-vector-problems-1508.04556"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-clustering-via-community-detection-in-networks-1508.04757</loc><lastmod>2015-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-clustering-via-community-detection-in-networks-1508.04757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-clustering-via-community-detection-in-networks-1508.04757"/></url>
<url><loc>https://scifaro.com/en/abs/review-and-perspective-for-distance-based-trajectory-clustering-1508.04904</loc><lastmod>2015-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/review-and-perspective-for-distance-based-trajectory-clustering-1508.04904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/review-and-perspective-for-distance-based-trajectory-clustering-1508.04904"/></url>
<url><loc>https://scifaro.com/en/abs/the-abacoc-algorithm-a-novel-approach-for-nonparametric-classification-of-data-streams-1508.04912</loc><lastmod>2015-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-abacoc-algorithm-a-novel-approach-for-nonparametric-classification-of-data-streams-1508.04912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-abacoc-algorithm-a-novel-approach-for-nonparametric-classification-of-data-streams-1508.04912"/></url>
<url><loc>https://scifaro.com/en/abs/adadelay-delay-adaptive-distributed-stochastic-convex-optimization-1508.05003</loc><lastmod>2015-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adadelay-delay-adaptive-distributed-stochastic-convex-optimization-1508.05003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adadelay-delay-adaptive-distributed-stochastic-convex-optimization-1508.05003"/></url>
<url><loc>https://scifaro.com/en/abs/strong-coresets-for-hard-and-soft-bregman-clustering-with-applications-to-exponential-family-mixtures-1508.05243</loc><lastmod>2016-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strong-coresets-for-hard-and-soft-bregman-clustering-with-applications-to-exponential-family-mixtures-1508.05243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strong-coresets-for-hard-and-soft-bregman-clustering-with-applications-to-exponential-family-mixtures-1508.05243"/></url>
<url><loc>https://scifaro.com/en/abs/on-monotonicity-of-the-optimal-transmission-policy-in-cross-layer-adaptive-m-qam-modulation-1508.05383</loc><lastmod>2015-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-monotonicity-of-the-optimal-transmission-policy-in-cross-layer-adaptive-m-qam-modulation-1508.05383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-monotonicity-of-the-optimal-transmission-policy-in-cross-layer-adaptive-m-qam-modulation-1508.05383"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-hypothesis-testing-for-block-sparse-signal-recovery-1508.05495</loc><lastmod>2015-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-hypothesis-testing-for-block-sparse-signal-recovery-1508.05495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-hypothesis-testing-for-block-sparse-signal-recovery-1508.05495"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-mixture-reduction-using-reverse-kullback-leibler-divergence-1508.05514</loc><lastmod>2015-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-mixture-reduction-using-reverse-kullback-leibler-divergence-1508.05514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-mixture-reduction-using-reverse-kullback-leibler-divergence-1508.05514"/></url>
<url><loc>https://scifaro.com/en/abs/the-max-k-armed-bandit-a-pac-lower-bound-and-tighter-algorithms-1508.05608</loc><lastmod>2015-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-max-k-armed-bandit-a-pac-lower-bound-and-tighter-algorithms-1508.05608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-max-k-armed-bandit-a-pac-lower-bound-and-tighter-algorithms-1508.05608"/></url>
<url><loc>https://scifaro.com/en/abs/fast-asynchronous-parallel-stochastic-gradient-decent-1508.05711</loc><lastmod>2015-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-asynchronous-parallel-stochastic-gradient-decent-1508.05711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-asynchronous-parallel-stochastic-gradient-decent-1508.05711"/></url>
<url><loc>https://scifaro.com/en/abs/searching-for-significant-patterns-in-stratified-data-1508.05803</loc><lastmod>2015-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/searching-for-significant-patterns-in-stratified-data-1508.05803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/searching-for-significant-patterns-in-stratified-data-1508.05803"/></url>
<url><loc>https://scifaro.com/en/abs/another-look-at-dwd-thrifty-algorithm-and-bayes-risk-consistency-in-rkhs-1508.05913</loc><lastmod>2015-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/another-look-at-dwd-thrifty-algorithm-and-bayes-risk-consistency-in-rkhs-1508.05913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/another-look-at-dwd-thrifty-algorithm-and-bayes-risk-consistency-in-rkhs-1508.05913"/></url>
<url><loc>https://scifaro.com/en/abs/auc-optimisation-and-collaborative-filtering-1508.06091</loc><lastmod>2015-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auc-optimisation-and-collaborative-filtering-1508.06091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auc-optimisation-and-collaborative-filtering-1508.06091"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-with-side-information-from-a-probabilistic-model-to-a-deterministic-algorithm-1508.06235</loc><lastmod>2015-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-with-side-information-from-a-probabilistic-model-to-a-deterministic-algorithm-1508.06235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-with-side-information-from-a-probabilistic-model-to-a-deterministic-algorithm-1508.06235"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-mixture-models-with-component-means-constrained-in-pre-selected-subspaces-1508.06388</loc><lastmod>2015-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-mixture-models-with-component-means-constrained-in-pre-selected-subspaces-1508.06388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-mixture-models-with-component-means-constrained-in-pre-selected-subspaces-1508.06388"/></url>
<url><loc>https://scifaro.com/en/abs/nested-hierarchical-dirichlet-processes-for-multi-level-non-parametric-admixture-modeling-1508.06446</loc><lastmod>2015-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nested-hierarchical-dirichlet-processes-for-multi-level-non-parametric-admixture-modeling-1508.06446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nested-hierarchical-dirichlet-processes-for-multi-level-non-parametric-admixture-modeling-1508.06446"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-homomorphic-encryption-and-software-tools-for-encrypted-statistical-machine-learning-1508.06574</loc><lastmod>2015-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-homomorphic-encryption-and-software-tools-for-encrypted-statistical-machine-learning-1508.06574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-homomorphic-encryption-and-software-tools-for-encrypted-statistical-machine-learning-1508.06574"/></url>
<url><loc>https://scifaro.com/en/abs/encrypted-statistical-machine-learning-new-privacy-preserving-methods-1508.06845</loc><lastmod>2015-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/encrypted-statistical-machine-learning-new-privacy-preserving-methods-1508.06845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/encrypted-statistical-machine-learning-new-privacy-preserving-methods-1508.06845"/></url>
<url><loc>https://scifaro.com/en/abs/compressive-sensing-via-low-rank-gaussian-mixture-models-1508.06901</loc><lastmod>2015-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressive-sensing-via-low-rank-gaussian-mixture-models-1508.06901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressive-sensing-via-low-rank-gaussian-mixture-models-1508.06901"/></url>
<url><loc>https://scifaro.com/en/abs/partitioning-large-scale-deep-belief-networks-using-dropout-1508.07096</loc><lastmod>2015-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partitioning-large-scale-deep-belief-networks-using-dropout-1508.07096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partitioning-large-scale-deep-belief-networks-using-dropout-1508.07096"/></url>
<url><loc>https://scifaro.com/en/abs/calibration-of-one-class-svm-for-mv-set-estimation-1508.07535</loc><lastmod>2015-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibration-of-one-class-svm-for-mv-set-estimation-1508.07535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibration-of-one-class-svm-for-mv-set-estimation-1508.07535"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-via-binary-simultaneous-perturbation-stochastic-approximation-1508.07630</loc><lastmod>2016-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-via-binary-simultaneous-perturbation-stochastic-approximation-1508.07630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-via-binary-simultaneous-perturbation-stochastic-approximation-1508.07630"/></url>
<url><loc>https://scifaro.com/en/abs/directional-decision-lists-1508.07643</loc><lastmod>2016-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/directional-decision-lists-1508.07643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/directional-decision-lists-1508.07643"/></url>
<url><loc>https://scifaro.com/en/abs/dictionary-learning-for-blind-one-bit-compressed-sensing-1508.07648</loc><lastmod>2016-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dictionary-learning-for-blind-one-bit-compressed-sensing-1508.07648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dictionary-learning-for-blind-one-bit-compressed-sensing-1508.07648"/></url>
<url><loc>https://scifaro.com/en/abs/learning-structures-of-bayesian-networks-for-variable-groups-1508.07753</loc><lastmod>2017-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-structures-of-bayesian-networks-for-variable-groups-1508.07753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-structures-of-bayesian-networks-for-variable-groups-1508.07753"/></url>
<url><loc>https://scifaro.com/en/abs/wald-kernel-learning-to-aggregate-information-for-sequential-inference-1508.07964</loc><lastmod>2017-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wald-kernel-learning-to-aggregate-information-for-sequential-inference-1508.07964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wald-kernel-learning-to-aggregate-information-for-sequential-inference-1508.07964"/></url>
<url><loc>https://scifaro.com/en/abs/multi-sensor-slope-change-detection-1509.00114</loc><lastmod>2016-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-sensor-slope-change-detection-1509.00114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-sensor-slope-change-detection-1509.00114"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-design-for-ranking-response-surfaces-1509.00980</loc><lastmod>2017-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-design-for-ranking-response-surfaces-1509.00980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-design-for-ranking-response-surfaces-1509.00980"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-masking-sparse-bayesian-estimation-with-weaker-shrinkage-bias-1509.01004</loc><lastmod>2015-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-masking-sparse-bayesian-estimation-with-weaker-shrinkage-bias-1509.01004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-masking-sparse-bayesian-estimation-with-weaker-shrinkage-bias-1509.01004"/></url>
<url><loc>https://scifaro.com/en/abs/semi-described-and-semi-supervised-learning-with-gaussian-processes-1509.01168</loc><lastmod>2015-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-described-and-semi-supervised-learning-with-gaussian-processes-1509.01168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-described-and-semi-supervised-learning-with-gaussian-processes-1509.01168"/></url>
<url><loc>https://scifaro.com/en/abs/community-detection-in-networks-with-node-features-1509.01173</loc><lastmod>2016-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/community-detection-in-networks-with-node-features-1509.01173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/community-detection-in-networks-with-node-features-1509.01173"/></url>
<url><loc>https://scifaro.com/en/abs/minimum-spectral-connectivity-projection-pursuit-1509.01546</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimum-spectral-connectivity-projection-pursuit-1509.01546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimum-spectral-connectivity-projection-pursuit-1509.01546"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-variational-bayes-for-gamma-approximating-distributions-1509.01631</loc><lastmod>2015-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-variational-bayes-for-gamma-approximating-distributions-1509.01631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-variational-bayes-for-gamma-approximating-distributions-1509.01631"/></url>
<url><loc>https://scifaro.com/en/abs/hamsi-a-parallel-incremental-optimization-algorithm-using-quadratic-approximations-for-solving-partially-separable-problems-1509.01698</loc><lastmod>2017-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hamsi-a-parallel-incremental-optimization-algorithm-using-quadratic-approximations-for-solving-partially-separable-problems-1509.01698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hamsi-a-parallel-incremental-optimization-algorithm-using-quadratic-approximations-for-solving-partially-separable-problems-1509.01698"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-factorisation-with-linear-filters-1509.02088</loc><lastmod>2015-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-factorisation-with-linear-filters-1509.02088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-factorisation-with-linear-filters-1509.02088"/></url>
<url><loc>https://scifaro.com/en/abs/poisson-subsampling-algorithms-for-large-sample-linear-regression-in-massive-data-1509.02116</loc><lastmod>2015-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poisson-subsampling-algorithms-for-large-sample-linear-regression-in-massive-data-1509.02116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poisson-subsampling-algorithms-for-large-sample-linear-regression-in-massive-data-1509.02116"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-time-evolving-interactions-in-networks-through-a-non-stationary-extension-of-stochastic-block-models-1509.02347</loc><lastmod>2015-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-time-evolving-interactions-in-networks-through-a-non-stationary-extension-of-stochastic-block-models-1509.02347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-time-evolving-interactions-in-networks-through-a-non-stationary-extension-of-stochastic-block-models-1509.02347"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-complexity-of-piecewise-affine-system-identification-1509.02348</loc><lastmod>2015-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-complexity-of-piecewise-affine-system-identification-1509.02348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-complexity-of-piecewise-affine-system-identification-1509.02348"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-risk-minimization-is-consistent-with-the-mean-absolute-percentage-error-1509.02357</loc><lastmod>2015-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-risk-minimization-is-consistent-with-the-mean-absolute-percentage-error-1509.02357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-risk-minimization-is-consistent-with-the-mean-absolute-percentage-error-1509.02357"/></url>
<url><loc>https://scifaro.com/en/abs/a-variational-bayesian-state-space-approach-to-online-passive-aggressive-regression-1509.02438</loc><lastmod>2015-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-variational-bayesian-state-space-approach-to-online-passive-aggressive-regression-1509.02438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-variational-bayesian-state-space-approach-to-online-passive-aggressive-regression-1509.02438"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-by-hierarchical-nearest-neighbor-descent-h-nnd-1509.02805</loc><lastmod>2016-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-by-hierarchical-nearest-neighbor-descent-h-nnd-1509.02805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-by-hierarchical-nearest-neighbor-descent-h-nnd-1509.02805"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotically-optimal-multi-armed-bandit-policies-under-a-cost-constraint-1509.02857</loc><lastmod>2015-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotically-optimal-multi-armed-bandit-policies-under-a-cost-constraint-1509.02857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotically-optimal-multi-armed-bandit-policies-under-a-cost-constraint-1509.02857"/></url>
<url><loc>https://scifaro.com/en/abs/fast-second-order-stochastic-backpropagation-for-variational-inference-1509.02866</loc><lastmod>2017-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-second-order-stochastic-backpropagation-for-variational-inference-1509.02866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-second-order-stochastic-backpropagation-for-variational-inference-1509.02866"/></url>
<url><loc>https://scifaro.com/en/abs/s-election-de-variables-par-le-glm-lasso-pour-la-pr-ediction-du-risque-palustre-1509.02873</loc><lastmod>2015-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/s-election-de-variables-par-le-glm-lasso-pour-la-pr-ediction-du-risque-palustre-1509.02873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/s-election-de-variables-par-le-glm-lasso-pour-la-pr-ediction-du-risque-palustre-1509.02873"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-inference-learning-and-models-in-big-data-1509.02900</loc><lastmod>2018-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-inference-learning-and-models-in-big-data-1509.02900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-inference-learning-and-models-in-big-data-1509.02900"/></url>
<url><loc>https://scifaro.com/en/abs/sensor-selection-by-linear-programming-1509.02954</loc><lastmod>2015-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sensor-selection-by-linear-programming-1509.02954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sensor-selection-by-linear-programming-1509.02954"/></url>
<url><loc>https://scifaro.com/en/abs/density-evolution-in-the-degree-correlated-stochastic-block-model-1509.03281</loc><lastmod>2016-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/density-evolution-in-the-degree-correlated-stochastic-block-model-1509.03281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/density-evolution-in-the-degree-correlated-stochastic-block-model-1509.03281"/></url>
<url><loc>https://scifaro.com/en/abs/performance-bounds-for-pairwise-entity-resolution-1509.03302</loc><lastmod>2015-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-bounds-for-pairwise-entity-resolution-1509.03302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-bounds-for-pairwise-entity-resolution-1509.03302"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-number-of-autoregressive-mixtures-in-time-series-using-the-gap-statistics-1509.03381</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-number-of-autoregressive-mixtures-in-time-series-using-the-gap-statistics-1509.03381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-number-of-autoregressive-mixtures-in-time-series-using-the-gap-statistics-1509.03381"/></url>
<url><loc>https://scifaro.com/en/abs/a-markov-jump-process-for-more-efficient-hamiltonian-monte-carlo-1509.03808</loc><lastmod>2015-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-markov-jump-process-for-more-efficient-hamiltonian-monte-carlo-1509.03808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-markov-jump-process-for-more-efficient-hamiltonian-monte-carlo-1509.03808"/></url>
<url><loc>https://scifaro.com/en/abs/dropping-convexity-for-faster-semi-definite-optimization-1509.03917</loc><lastmod>2016-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropping-convexity-for-faster-semi-definite-optimization-1509.03917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropping-convexity-for-faster-semi-definite-optimization-1509.03917"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-of-anemia-treatment-in-hemodialysis-patients-via-reinforcement-learning-1509.03977</loc><lastmod>2015-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-of-anemia-treatment-in-hemodialysis-patients-via-reinforcement-learning-1509.03977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-of-anemia-treatment-in-hemodialysis-patients-via-reinforcement-learning-1509.03977"/></url>
<url><loc>https://scifaro.com/en/abs/robust-gaussian-filtering-using-a-pseudo-measurement-1509.04072</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-gaussian-filtering-using-a-pseudo-measurement-1509.04072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-gaussian-filtering-using-a-pseudo-measurement-1509.04072"/></url>
<url><loc>https://scifaro.com/en/abs/model-accuracy-and-runtime-tradeoff-in-distributed-deep-learning-a-systematic-study-1509.04210</loc><lastmod>2016-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-accuracy-and-runtime-tradeoff-in-distributed-deep-learning-a-systematic-study-1509.04210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-accuracy-and-runtime-tradeoff-in-distributed-deep-learning-a-systematic-study-1509.04210"/></url>
<url><loc>https://scifaro.com/en/abs/exponential-family-matrix-completion-under-structural-constraints-1509.04397</loc><lastmod>2015-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-family-matrix-completion-under-structural-constraints-1509.04397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-family-matrix-completion-under-structural-constraints-1509.04397"/></url>
<url><loc>https://scifaro.com/en/abs/when-are-kalman-filter-restless-bandits-indexable-1509.04541</loc><lastmod>2015-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-are-kalman-filter-restless-bandits-indexable-1509.04541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-are-kalman-filter-restless-bandits-indexable-1509.04541"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-correntropy-kalman-filter-1509.04580</loc><lastmod>2015-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-correntropy-kalman-filter-1509.04580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-correntropy-kalman-filter-1509.04580"/></url>
<url><loc>https://scifaro.com/en/abs/macau-scalable-bayesian-multi-relational-factorization-with-side-information-using-mcmc-1509.04610</loc><lastmod>2015-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/macau-scalable-bayesian-multi-relational-factorization-with-side-information-using-mcmc-1509.04610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/macau-scalable-bayesian-multi-relational-factorization-with-side-information-using-mcmc-1509.04610"/></url>
<url><loc>https://scifaro.com/en/abs/the-shape-of-data-and-probability-measures-1509.04632</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-shape-of-data-and-probability-measures-1509.04632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-shape-of-data-and-probability-measures-1509.04632"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-optimization-algorithms-for-sparse-conditional-gaussian-graphical-models-1509.04681</loc><lastmod>2015-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-optimization-algorithms-for-sparse-conditional-gaussian-graphical-models-1509.04681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-optimization-algorithms-for-sparse-conditional-gaussian-graphical-models-1509.04681"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-for-spatio-temporal-spike-and-slab-priors-1509.04752</loc><lastmod>2018-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-for-spatio-temporal-spike-and-slab-priors-1509.04752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-for-spatio-temporal-spike-and-slab-priors-1509.04752"/></url>
<url><loc>https://scifaro.com/en/abs/dirichlet-fragmentation-processes-1509.04781</loc><lastmod>2015-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dirichlet-fragmentation-processes-1509.04781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dirichlet-fragmentation-processes-1509.04781"/></url>
<url><loc>https://scifaro.com/en/abs/revealed-preference-at-scale-learning-personalized-preferences-from-assortment-choices-1509.05113</loc><lastmod>2016-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revealed-preference-at-scale-learning-personalized-preferences-from-assortment-choices-1509.05113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revealed-preference-at-scale-learning-personalized-preferences-from-assortment-choices-1509.05113"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-emphatic-temporal-difference-learning-bias-variance-analysis-1509.05172</loc><lastmod>2015-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-emphatic-temporal-difference-learning-bias-variance-analysis-1509.05172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-emphatic-temporal-difference-learning-bias-variance-analysis-1509.05172"/></url>
<url><loc>https://scifaro.com/en/abs/blue-taxi-destination-and-trip-time-prediction-from-partial-trajectories-1509.05257</loc><lastmod>2015-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blue-taxi-destination-and-trip-time-prediction-from-partial-trajectories-1509.05257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blue-taxi-destination-and-trip-time-prediction-from-partial-trajectories-1509.05257"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-fisher-s-linear-discriminant-analysis-for-partially-labeled-data-1509.05438</loc><lastmod>2015-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-fisher-s-linear-discriminant-analysis-for-partially-labeled-data-1509.05438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-fisher-s-linear-discriminant-analysis-for-partially-labeled-data-1509.05438"/></url>
<url><loc>https://scifaro.com/en/abs/energy-saving-in-smart-homes-based-on-consumer-behaviour-a-case-study-1509.05722</loc><lastmod>2015-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-saving-in-smart-homes-based-on-consumer-behaviour-a-case-study-1509.05722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-saving-in-smart-homes-based-on-consumer-behaviour-a-case-study-1509.05722"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-optimization-via-adaptive-prediction-1509.05760</loc><lastmod>2015-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-optimization-via-adaptive-prediction-1509.05760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-optimization-via-adaptive-prediction-1509.05760"/></url>
<url><loc>https://scifaro.com/en/abs/telugu-ocr-framework-using-deep-learning-1509.05962</loc><lastmod>2017-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/telugu-ocr-framework-using-deep-learning-1509.05962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/telugu-ocr-framework-using-deep-learning-1509.05962"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-theory-of-deep-learning-via-proximal-splitting-1509.06061</loc><lastmod>2015-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-theory-of-deep-learning-via-proximal-splitting-1509.06061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-theory-of-deep-learning-via-proximal-splitting-1509.06061"/></url>
<url><loc>https://scifaro.com/en/abs/significance-analysis-of-high-dimensional-low-sample-size-partially-labeled-data-1509.06088</loc><lastmod>2015-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/significance-analysis-of-high-dimensional-low-sample-size-partially-labeled-data-1509.06088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/significance-analysis-of-high-dimensional-low-sample-size-partially-labeled-data-1509.06088"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-compressed-sensing-kalman-filter-for-direction-of-arrival-estimation-1509.06290</loc><lastmod>2015-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-compressed-sensing-kalman-filter-for-direction-of-arrival-estimation-1509.06290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-compressed-sensing-kalman-filter-for-direction-of-arrival-estimation-1509.06290"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-neighborhood-selection-for-gaussian-graphical-models-1509.06449</loc><lastmod>2015-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-neighborhood-selection-for-gaussian-graphical-models-1509.06449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-neighborhood-selection-for-gaussian-graphical-models-1509.06449"/></url>
<url><loc>https://scifaro.com/en/abs/classification-error-in-multiclass-discrimination-from-markov-data-1509.06673</loc><lastmod>2017-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-error-in-multiclass-discrimination-from-markov-data-1509.06673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-error-in-multiclass-discrimination-from-markov-data-1509.06673"/></url>
<url><loc>https://scifaro.com/en/abs/density-estimation-via-discrepancy-1509.06831</loc><lastmod>2015-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/density-estimation-via-discrepancy-1509.06831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/density-estimation-via-discrepancy-1509.06831"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-climate-variability-over-the-indian-region-using-data-mining-strategies-1509.06920</loc><lastmod>2015-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-climate-variability-over-the-indian-region-using-data-mining-strategies-1509.06920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-climate-variability-over-the-indian-region-using-data-mining-strategies-1509.06920"/></url>
<url><loc>https://scifaro.com/en/abs/fast-k-nn-search-1509.06957</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-k-nn-search-1509.06957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-k-nn-search-1509.06957"/></url>
<url><loc>https://scifaro.com/en/abs/deep-temporal-sigmoid-belief-networks-for-sequence-modeling-1509.07087</loc><lastmod>2015-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-temporal-sigmoid-belief-networks-for-sequence-modeling-1509.07087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-temporal-sigmoid-belief-networks-for-sequence-modeling-1509.07087"/></url>
<url><loc>https://scifaro.com/en/abs/provable-approximation-properties-for-deep-neural-networks-1509.07385</loc><lastmod>2017-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-approximation-properties-for-deep-neural-networks-1509.07385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-approximation-properties-for-deep-neural-networks-1509.07385"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-data-modeling-techniques-for-detection-of-chemical-plumes-and-anomalies-in-hyperspectral-images-and-movies-1509.07497</loc><lastmod>2016-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-data-modeling-techniques-for-detection-of-chemical-plumes-and-anomalies-in-hyperspectral-images-and-movies-1509.07497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-data-modeling-techniques-for-detection-of-chemical-plumes-and-anomalies-in-hyperspectral-images-and-movies-1509.07497"/></url>
<url><loc>https://scifaro.com/en/abs/linear-time-learning-on-distributions-with-approximate-kernel-embeddings-1509.07553</loc><lastmod>2021-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-time-learning-on-distributions-with-approximate-kernel-embeddings-1509.07553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-time-learning-on-distributions-with-approximate-kernel-embeddings-1509.07553"/></url>
<url><loc>https://scifaro.com/en/abs/information-limits-for-recovering-a-hidden-community-1509.07859</loc><lastmod>2016-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-limits-for-recovering-a-hidden-community-1509.07859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-limits-for-recovering-a-hidden-community-1509.07859"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-bayesian-inference-for-population-markov-jump-processes-via-random-truncations-1509.08327</loc><lastmod>2016-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-bayesian-inference-for-population-markov-jump-processes-via-random-truncations-1509.08327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-bayesian-inference-for-population-markov-jump-processes-via-random-truncations-1509.08327"/></url>
<url><loc>https://scifaro.com/en/abs/compressive-spectral-embedding-sidestepping-the-svd-1509.08360</loc><lastmod>2015-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressive-spectral-embedding-sidestepping-the-svd-1509.08360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressive-spectral-embedding-sidestepping-the-svd-1509.08360"/></url>
<url><loc>https://scifaro.com/en/abs/distance-penalized-active-learning-using-quantile-search-1509.08387</loc><lastmod>2017-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distance-penalized-active-learning-using-quantile-search-1509.08387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distance-penalized-active-learning-using-quantile-search-1509.08387"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-empowerment-1509.08455</loc><lastmod>2015-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-empowerment-1509.08455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-empowerment-1509.08455"/></url>
<url><loc>https://scifaro.com/en/abs/tractable-fully-bayesian-inference-via-convex-optimization-and-optimal-transport-theory-1509.08582</loc><lastmod>2015-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tractable-fully-bayesian-inference-via-convex-optimization-and-optimal-transport-theory-1509.08582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tractable-fully-bayesian-inference-via-convex-optimization-and-optimal-transport-theory-1509.08582"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-network-edge-probabilities-by-neighborhood-smoothing-1509.08588</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-network-edge-probabilities-by-neighborhood-smoothing-1509.08588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-network-edge-probabilities-by-neighborhood-smoothing-1509.08588"/></url>
<url><loc>https://scifaro.com/en/abs/variational-information-maximisation-for-intrinsically-motivated-reinforcement-learning-1509.08731</loc><lastmod>2015-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-information-maximisation-for-intrinsically-motivated-reinforcement-learning-1509.08731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-information-maximisation-for-intrinsically-motivated-reinforcement-learning-1509.08731"/></url>
<url><loc>https://scifaro.com/en/abs/foundations-of-coupled-nonlinear-dimensionality-reduction-1509.08880</loc><lastmod>2015-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/foundations-of-coupled-nonlinear-dimensionality-reduction-1509.08880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/foundations-of-coupled-nonlinear-dimensionality-reduction-1509.08880"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-pooling-functions-in-convolutional-neural-networks-mixed-gated-and-tree-1509.08985</loc><lastmod>2015-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-pooling-functions-in-convolutional-neural-networks-mixed-gated-and-tree-1509.08985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-pooling-functions-in-convolutional-neural-networks-mixed-gated-and-tree-1509.08985"/></url>
<url><loc>https://scifaro.com/en/abs/regret-lower-bound-and-optimal-algorithm-in-finite-stochastic-partial-monitoring-1509.09011</loc><lastmod>2015-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-lower-bound-and-optimal-algorithm-in-finite-stochastic-partial-monitoring-1509.09011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-lower-bound-and-optimal-algorithm-in-finite-stochastic-partial-monitoring-1509.09011"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-missing-data-using-selection-bias-in-movie-recommendation-1509.09130</loc><lastmod>2015-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-missing-data-using-selection-bias-in-movie-recommendation-1509.09130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-missing-data-using-selection-bias-in-movie-recommendation-1509.09130"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-multitask-learning-1510.00633</loc><lastmod>2015-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-multitask-learning-1510.00633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-multitask-learning-1510.00633"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-online-experiment-design-with-the-stochastic-multi-armed-bandit-1510.00757</loc><lastmod>2015-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-online-experiment-design-with-the-stochastic-multi-armed-bandit-1510.00757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-online-experiment-design-with-the-stochastic-multi-armed-bandit-1510.00757"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-likelihood-latent-space-embedding-of-logistic-random-dot-product-graphs-1510.00850</loc><lastmod>2017-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-likelihood-latent-space-embedding-of-logistic-random-dot-product-graphs-1510.00850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-likelihood-latent-space-embedding-of-logistic-random-dot-product-graphs-1510.00850"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-estimation-of-multidimensional-latent-variables-and-its-asymptotic-accuracy-1510.01003</loc><lastmod>2018-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-estimation-of-multidimensional-latent-variables-and-its-asymptotic-accuracy-1510.01003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-estimation-of-multidimensional-latent-variables-and-its-asymptotic-accuracy-1510.01003"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-in-the-presence-of-outliers-adaptive-classification-with-non-convex-loss-functions-1510.01064</loc><lastmod>2017-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-in-the-presence-of-outliers-adaptive-classification-with-non-convex-loss-functions-1510.01064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-in-the-presence-of-outliers-adaptive-classification-with-non-convex-loss-functions-1510.01064"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-online-frank-wolfe-algorithms-for-convex-and-non-convex-optimizations-1510.01171</loc><lastmod>2016-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-online-frank-wolfe-algorithms-for-convex-and-non-convex-optimizations-1510.01171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-online-frank-wolfe-algorithms-for-convex-and-non-convex-optimizations-1510.01171"/></url>
<url><loc>https://scifaro.com/en/abs/learning-in-unlabeled-networks-an-active-learning-and-inference-approach-1510.01270</loc><lastmod>2015-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-in-unlabeled-networks-an-active-learning-and-inference-approach-1510.01270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-in-unlabeled-networks-an-active-learning-and-inference-approach-1510.01270"/></url>
<url><loc>https://scifaro.com/en/abs/batch-normalized-recurrent-neural-networks-1510.01378</loc><lastmod>2015-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-normalized-recurrent-neural-networks-1510.01378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-normalized-recurrent-neural-networks-1510.01378"/></url>
<url><loc>https://scifaro.com/en/abs/improved-estimation-of-class-prior-probabilities-through-unlabeled-data-1510.01422</loc><lastmod>2015-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-estimation-of-class-prior-probabilities-through-unlabeled-data-1510.01422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-estimation-of-class-prior-probabilities-through-unlabeled-data-1510.01422"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-markov-blanket-estimation-1510.01485</loc><lastmod>2015-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-markov-blanket-estimation-1510.01485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-markov-blanket-estimation-1510.01485"/></url>
<url><loc>https://scifaro.com/en/abs/structured-transforms-for-small-footprint-deep-learning-1510.01722</loc><lastmod>2015-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-transforms-for-small-footprint-deep-learning-1510.01722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-transforms-for-small-footprint-deep-learning-1510.01722"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-per-example-gradient-computations-1510.01799</loc><lastmod>2015-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-per-example-gradient-computations-1510.01799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-per-example-gradient-computations-1510.01799"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotically-optimal-sequential-experimentation-under-generalized-ranking-1510.02041</loc><lastmod>2015-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotically-optimal-sequential-experimentation-under-generalized-ranking-1510.02041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotically-optimal-sequential-experimentation-under-generalized-ranking-1510.02041"/></url>
<url><loc>https://scifaro.com/en/abs/reduced-order-modeling-of-hidden-dynamics-1510.02267</loc><lastmod>2018-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reduced-order-modeling-of-hidden-dynamics-1510.02267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reduced-order-modeling-of-hidden-dynamics-1510.02267"/></url>
<url><loc>https://scifaro.com/en/abs/the-knowledge-gradient-with-logistic-belief-models-for-binary-classification-1510.02354</loc><lastmod>2015-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-knowledge-gradient-with-logistic-belief-models-for-binary-classification-1510.02354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-knowledge-gradient-with-logistic-belief-models-for-binary-classification-1510.02354"/></url>
<url><loc>https://scifaro.com/en/abs/distilling-model-knowledge-1510.02437</loc><lastmod>2015-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distilling-model-knowledge-1510.02437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distilling-model-knowledge-1510.02437"/></url>
<url><loc>https://scifaro.com/en/abs/functional-frank-wolfe-boosting-for-general-loss-functions-1510.02558</loc><lastmod>2015-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-frank-wolfe-boosting-for-general-loss-functions-1510.02558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-frank-wolfe-boosting-for-general-loss-functions-1510.02558"/></url>
<url><loc>https://scifaro.com/en/abs/some-theory-for-practical-classifier-validation-1510.02676</loc><lastmod>2015-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/some-theory-for-practical-classifier-validation-1510.02676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/some-theory-for-practical-classifier-validation-1510.02676"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-risk-minimization-for-stochastic-processes-1510.02706</loc><lastmod>2016-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-risk-minimization-for-stochastic-processes-1510.02706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-risk-minimization-for-stochastic-processes-1510.02706"/></url>
<url><loc>https://scifaro.com/en/abs/recovering-a-hidden-community-beyond-the-kesten-stigum-threshold-in-o-e-log-v-time-1510.02786</loc><lastmod>2018-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovering-a-hidden-community-beyond-the-kesten-stigum-threshold-in-o-e-log-v-time-1510.02786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovering-a-hidden-community-beyond-the-kesten-stigum-threshold-in-o-e-log-v-time-1510.02786"/></url>
<url><loc>https://scifaro.com/en/abs/p-markov-gaussian-processes-for-scalable-and-expressive-online-bayesian-nonparametric-time-series-forecasting-1510.02830</loc><lastmod>2015-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/p-markov-gaussian-processes-for-scalable-and-expressive-online-bayesian-nonparametric-time-series-forecasting-1510.02830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/p-markov-gaussian-processes-for-scalable-and-expressive-online-bayesian-nonparametric-time-series-forecasting-1510.02830"/></url>
<url><loc>https://scifaro.com/en/abs/vb-calibration-to-improve-the-interface-between-phone-recognizer-and-i-vector-extractor-1510.03203</loc><lastmod>2015-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vb-calibration-to-improve-the-interface-between-phone-recognizer-and-i-vector-extractor-1510.03203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vb-calibration-to-improve-the-interface-between-phone-recognizer-and-i-vector-extractor-1510.03203"/></url>
<url><loc>https://scifaro.com/en/abs/toward-a-better-understanding-of-leaderboard-1510.03349</loc><lastmod>2017-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-a-better-understanding-of-leaderboard-1510.03349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-a-better-understanding-of-leaderboard-1510.03349"/></url>
<url><loc>https://scifaro.com/en/abs/consistent-estimation-of-low-dimensional-latent-structure-in-high-dimensional-data-1510.03497</loc><lastmod>2015-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-estimation-of-low-dimensional-latent-structure-in-high-dimensional-data-1510.03497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-estimation-of-low-dimensional-latent-structure-in-high-dimensional-data-1510.03497"/></url>
<url><loc>https://scifaro.com/en/abs/dual-control-for-approximate-bayesian-reinforcement-learning-1510.03591</loc><lastmod>2016-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-control-for-approximate-bayesian-reinforcement-learning-1510.03591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-control-for-approximate-bayesian-reinforcement-learning-1510.03591"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-network-model-for-interesting-itemsets-1510.04130</loc><lastmod>2016-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-network-model-for-interesting-itemsets-1510.04130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-network-model-for-interesting-itemsets-1510.04130"/></url>
<url><loc>https://scifaro.com/en/abs/embarrassingly-parallel-variational-inference-in-nonconjugate-models-1510.04163</loc><lastmod>2015-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embarrassingly-parallel-variational-inference-in-nonconjugate-models-1510.04163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embarrassingly-parallel-variational-inference-in-nonconjugate-models-1510.04163"/></url>
<url><loc>https://scifaro.com/en/abs/improving-back-propagation-by-adding-an-adversarial-gradient-1510.04189</loc><lastmod>2016-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-back-propagation-by-adding-an-adversarial-gradient-1510.04189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-back-propagation-by-adding-an-adversarial-gradient-1510.04189"/></url>
<url><loc>https://scifaro.com/en/abs/robust-learning-for-optimal-treatment-decision-with-np-dimensionality-1510.04378</loc><lastmod>2015-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-learning-for-optimal-treatment-decision-with-np-dimensionality-1510.04378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-learning-for-optimal-treatment-decision-with-np-dimensionality-1510.04378"/></url>
<url><loc>https://scifaro.com/en/abs/sgd-with-variance-reduction-beyond-empirical-risk-minimization-1510.04822</loc><lastmod>2016-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sgd-with-variance-reduction-beyond-empirical-risk-minimization-1510.04822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sgd-with-variance-reduction-beyond-empirical-risk-minimization-1510.04822"/></url>
<url><loc>https://scifaro.com/en/abs/change-detection-in-multivariate-datastreams-likelihood-and-detectability-loss-1510.04850</loc><lastmod>2017-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/change-detection-in-multivariate-datastreams-likelihood-and-detectability-loss-1510.04850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/change-detection-in-multivariate-datastreams-likelihood-and-detectability-loss-1510.04850"/></url>
<url><loc>https://scifaro.com/en/abs/robust-partially-compressed-least-squares-1510.04905</loc><lastmod>2015-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-partially-compressed-least-squares-1510.04905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-partially-compressed-least-squares-1510.04905"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-and-contrasting-recurrent-neural-network-architectures-1510.04953</loc><lastmod>2015-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-and-contrasting-recurrent-neural-network-architectures-1510.04953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-and-contrasting-recurrent-neural-network-architectures-1510.04953"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-method-for-robust-bayesian-modeling-1510.05078</loc><lastmod>2016-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-method-for-robust-bayesian-modeling-1510.05078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-method-for-robust-bayesian-modeling-1510.05078"/></url>
<url><loc>https://scifaro.com/en/abs/robust-non-linear-wiener-granger-causality-for-large-high-dimensional-data-1510.05149</loc><lastmod>2015-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-non-linear-wiener-granger-causality-for-large-high-dimensional-data-1510.05149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-non-linear-wiener-granger-causality-for-large-high-dimensional-data-1510.05149"/></url>
<url><loc>https://scifaro.com/en/abs/a-historical-analysis-of-the-field-of-or-ms-using-topic-models-1510.05154</loc><lastmod>2015-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-historical-analysis-of-the-field-of-or-ms-using-topic-models-1510.05154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-historical-analysis-of-the-field-of-or-ms-using-topic-models-1510.05154"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-inference-for-a-full-multivariate-stochastic-volatility-model-1510.05257</loc><lastmod>2017-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-inference-for-a-full-multivariate-stochastic-volatility-model-1510.05257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-inference-for-a-full-multivariate-stochastic-volatility-model-1510.05257"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-is-easy-when-what-1510.05336</loc><lastmod>2015-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-is-easy-when-what-1510.05336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-is-easy-when-what-1510.05336"/></url>
<url><loc>https://scifaro.com/en/abs/modularity-component-analysis-versus-principal-component-analysis-1510.05492</loc><lastmod>2016-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modularity-component-analysis-versus-principal-component-analysis-1510.05492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modularity-component-analysis-versus-principal-component-analysis-1510.05492"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-for-gaussian-processes-via-chaining-1510.05576</loc><lastmod>2015-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-for-gaussian-processes-via-chaining-1510.05576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-for-gaussian-processes-via-chaining-1510.05576"/></url>
<url><loc>https://scifaro.com/en/abs/stochastically-transitive-models-for-pairwise-comparisons-statistical-and-computational-issues-1510.05610</loc><lastmod>2016-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastically-transitive-models-for-pairwise-comparisons-statistical-and-computational-issues-1510.05610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastically-transitive-models-for-pairwise-comparisons-statistical-and-computational-issues-1510.05610"/></url>
<url><loc>https://scifaro.com/en/abs/nytro-when-subsampling-meets-early-stopping-1510.05684</loc><lastmod>2018-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nytro-when-subsampling-meets-early-stopping-1510.05684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nytro-when-subsampling-meets-early-stopping-1510.05684"/></url>
<url><loc>https://scifaro.com/en/abs/dimensionality-reduction-for-binary-data-through-the-projection-of-natural-parameters-1510.06112</loc><lastmod>2020-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimensionality-reduction-for-binary-data-through-the-projection-of-natural-parameters-1510.06112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimensionality-reduction-for-binary-data-through-the-projection-of-natural-parameters-1510.06112"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-co-clustering-based-on-nonparametric-mixture-models-with-heterogeneous-marginal-distributions-1510.06138</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-co-clustering-based-on-nonparametric-mixture-models-with-heterogeneous-marginal-distributions-1510.06138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-co-clustering-based-on-nonparametric-mixture-models-with-heterogeneous-marginal-distributions-1510.06138"/></url>
<url><loc>https://scifaro.com/en/abs/glasses-relieving-the-myopia-of-bayesian-optimisation-1510.06299</loc><lastmod>2015-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/glasses-relieving-the-myopia-of-bayesian-optimisation-1510.06299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/glasses-relieving-the-myopia-of-bayesian-optimisation-1510.06299"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-as-estimation-with-gaussian-processes-in-bandit-settings-1510.06423</loc><lastmod>2018-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-as-estimation-with-gaussian-processes-in-bandit-settings-1510.06423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-as-estimation-with-gaussian-processes-in-bandit-settings-1510.06423"/></url>
<url><loc>https://scifaro.com/en/abs/inventory-control-involving-unknown-demand-of-discrete-nonperishable-items-analysis-of-a-newsvendor-based-policy-1510.06463</loc><lastmod>2015-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inventory-control-involving-unknown-demand-of-discrete-nonperishable-items-analysis-of-a-newsvendor-based-policy-1510.06463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inventory-control-involving-unknown-demand-of-discrete-nonperishable-items-analysis-of-a-newsvendor-based-policy-1510.06463"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-density-trees-and-lists-an-interpretable-alternative-to-high-dimensional-histograms-1510.06779</loc><lastmod>2023-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-density-trees-and-lists-an-interpretable-alternative-to-high-dimensional-histograms-1510.06779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-density-trees-and-lists-an-interpretable-alternative-to-high-dimensional-histograms-1510.06779"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-complexity-of-switching-linear-regression-1510.06920</loc><lastmod>2016-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-complexity-of-switching-linear-regression-1510.06920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-complexity-of-switching-linear-regression-1510.06920"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-user-exposure-in-recommendation-1510.07025</loc><lastmod>2016-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-user-exposure-in-recommendation-1510.07025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-user-exposure-in-recommendation-1510.07025"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-scalable-lasso-via-stochastic-frank-wolfe-methods-with-a-convergence-guarantee-1510.07169</loc><lastmod>2015-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-scalable-lasso-via-stochastic-frank-wolfe-methods-with-a-convergence-guarantee-1510.07169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-scalable-lasso-via-stochastic-frank-wolfe-methods-with-a-convergence-guarantee-1510.07169"/></url>
<url><loc>https://scifaro.com/en/abs/a-parallel-algorithm-for-mathcal-x-armed-bandits-1510.07471</loc><lastmod>2015-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-parallel-algorithm-for-mathcal-x-armed-bandits-1510.07471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-parallel-algorithm-for-mathcal-x-armed-bandits-1510.07471"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-learning-by-directed-acyclic-graph-for-resource-constrained-prediction-1510.07609</loc><lastmod>2015-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-learning-by-directed-acyclic-graph-for-resource-constrained-prediction-1510.07609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-learning-by-directed-acyclic-graph-for-resource-constrained-prediction-1510.07609"/></url>
<url><loc>https://scifaro.com/en/abs/the-wilson-machine-for-image-modeling-1510.07740</loc><lastmod>2015-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-wilson-machine-for-image-modeling-1510.07740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-wilson-machine-for-image-modeling-1510.07740"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-to-adjust-dependency-measure-estimates-for-chance-1510.07786</loc><lastmod>2016-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-to-adjust-dependency-measure-estimates-for-chance-1510.07786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-to-adjust-dependency-measure-estimates-for-chance-1510.07786"/></url>
<url><loc>https://scifaro.com/en/abs/exclusive-sparsity-norm-minimization-with-random-groups-via-cone-projection-1510.07925</loc><lastmod>2015-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exclusive-sparsity-norm-minimization-with-random-groups-via-cone-projection-1510.07925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exclusive-sparsity-norm-minimization-with-random-groups-via-cone-projection-1510.07925"/></url>
<url><loc>https://scifaro.com/en/abs/blitzkriging-kronecker-structured-stochastic-gaussian-processes-1510.07965</loc><lastmod>2015-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blitzkriging-kronecker-structured-stochastic-gaussian-processes-1510.07965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blitzkriging-kronecker-structured-stochastic-gaussian-processes-1510.07965"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-gaussian-payoffs-and-side-observations-1510.08108</loc><lastmod>2015-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-gaussian-payoffs-and-side-observations-1510.08108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-gaussian-payoffs-and-side-observations-1510.08108"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-convergence-rate-of-graph-laplacian-1510.08110</loc><lastmod>2015-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-convergence-rate-of-graph-laplacian-1510.08110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-convergence-rate-of-graph-laplacian-1510.08110"/></url>
<url><loc>https://scifaro.com/en/abs/canonical-divergence-analysis-1510.08370</loc><lastmod>2015-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/canonical-divergence-analysis-1510.08370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/canonical-divergence-analysis-1510.08370"/></url>
<url><loc>https://scifaro.com/en/abs/flexibly-mining-better-subgroups-1510.08382</loc><lastmod>2015-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexibly-mining-better-subgroups-1510.08382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexibly-mining-better-subgroups-1510.08382"/></url>
<url><loc>https://scifaro.com/en/abs/linear-time-detection-of-non-linear-changes-in-massively-high-dimensional-time-series-1510.08385</loc><lastmod>2015-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-time-detection-of-non-linear-changes-in-massively-high-dimensional-time-series-1510.08385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-time-detection-of-non-linear-changes-in-massively-high-dimensional-time-series-1510.08385"/></url>
<url><loc>https://scifaro.com/en/abs/universal-dependency-analysis-1510.08389</loc><lastmod>2015-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-dependency-analysis-1510.08389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-dependency-analysis-1510.08389"/></url>
<url><loc>https://scifaro.com/en/abs/fast-landmark-subspace-clustering-1510.08406</loc><lastmod>2015-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-landmark-subspace-clustering-1510.08406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-landmark-subspace-clustering-1510.08406"/></url>
<url><loc>https://scifaro.com/en/abs/robust-gaussian-graphical-modeling-with-the-trimmed-graphical-lasso-1510.08512</loc><lastmod>2015-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-gaussian-graphical-modeling-with-the-trimmed-graphical-lasso-1510.08512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-gaussian-graphical-modeling-with-the-trimmed-graphical-lasso-1510.08512"/></url>
<url><loc>https://scifaro.com/en/abs/warplda-a-cache-efficient-o-1-algorithm-for-latent-dirichlet-allocation-1510.08628</loc><lastmod>2016-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/warplda-a-cache-efficient-o-1-algorithm-for-latent-dirichlet-allocation-1510.08628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/warplda-a-cache-efficient-o-1-algorithm-for-latent-dirichlet-allocation-1510.08628"/></url>
<url><loc>https://scifaro.com/en/abs/nonconvex-penalization-in-sparse-estimation-an-approach-based-on-the-bernstein-function-1510.08633</loc><lastmod>2015-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonconvex-penalization-in-sparse-estimation-an-approach-based-on-the-bernstein-function-1510.08633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonconvex-penalization-in-sparse-estimation-an-approach-based-on-the-bernstein-function-1510.08633"/></url>
<url><loc>https://scifaro.com/en/abs/covariance-controlled-adaptive-langevin-thermostat-for-large-scale-bayesian-sampling-1510.08692</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covariance-controlled-adaptive-langevin-thermostat-for-large-scale-bayesian-sampling-1510.08692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covariance-controlled-adaptive-langevin-thermostat-for-large-scale-bayesian-sampling-1510.08692"/></url>
<url><loc>https://scifaro.com/en/abs/sample-complexity-of-episodic-fixed-horizon-reinforcement-learning-1510.08906</loc><lastmod>2016-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-complexity-of-episodic-fixed-horizon-reinforcement-learning-1510.08906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-complexity-of-episodic-fixed-horizon-reinforcement-learning-1510.08906"/></url>
<url><loc>https://scifaro.com/en/abs/principal-differences-analysis-interpretable-characterization-of-differences-between-distributions-1510.08956</loc><lastmod>2017-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principal-differences-analysis-interpretable-characterization-of-differences-between-distributions-1510.08956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principal-differences-analysis-interpretable-characterization-of-differences-between-distributions-1510.08956"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-of-the-spatio-temporal-correlations-in-mobile-calls-networks-1510.09005</loc><lastmod>2015-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-of-the-spatio-temporal-correlations-in-mobile-calls-networks-1510.09005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-of-the-spatio-temporal-correlations-in-mobile-calls-networks-1510.09005"/></url>
<url><loc>https://scifaro.com/en/abs/latent-bayesian-melding-for-integrating-individual-and-population-models-1510.09130</loc><lastmod>2015-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-bayesian-melding-for-integrating-individual-and-population-models-1510.09130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-bayesian-melding-for-integrating-individual-and-population-models-1510.09130"/></url>
<url><loc>https://scifaro.com/en/abs/submatrix-localization-via-message-passing-1510.09219</loc><lastmod>2015-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/submatrix-localization-via-message-passing-1510.09219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/submatrix-localization-via-message-passing-1510.09219"/></url>
<url><loc>https://scifaro.com/en/abs/faster-stochastic-variational-inference-using-proximal-gradient-methods-with-general-divergence-functions-1511.00146</loc><lastmod>2016-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-stochastic-variational-inference-using-proximal-gradient-methods-with-general-divergence-functions-1511.00146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-stochastic-variational-inference-using-proximal-gradient-methods-with-general-divergence-functions-1511.00146"/></url>
<url><loc>https://scifaro.com/en/abs/preconditioned-data-sparsification-for-big-data-with-applications-to-pca-and-k-means-1511.00152</loc><lastmod>2017-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preconditioned-data-sparsification-for-big-data-with-applications-to-pca-and-k-means-1511.00152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preconditioned-data-sparsification-for-big-data-with-applications-to-pca-and-k-means-1511.00152"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-dynamical-time-series-using-kernel-based-regression-and-smooth-splines-1511.00158</loc><lastmod>2018-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-dynamical-time-series-using-kernel-based-regression-and-smooth-splines-1511.00158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-dynamical-time-series-using-kernel-based-regression-and-smooth-splines-1511.00158"/></url>
<url><loc>https://scifaro.com/en/abs/from-random-walks-to-distances-on-unweighted-graphs-1511.00573</loc><lastmod>2015-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-random-walks-to-distances-on-unweighted-graphs-1511.00573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-random-walks-to-distances-on-unweighted-graphs-1511.00573"/></url>
<url><loc>https://scifaro.com/en/abs/the-variational-fair-autoencoder-1511.00830</loc><lastmod>2017-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-variational-fair-autoencoder-1511.00830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-variational-fair-autoencoder-1511.00830"/></url>
<url><loc>https://scifaro.com/en/abs/pca-based-out-of-sample-extension-for-dimensionality-reduction-1511.00831</loc><lastmod>2015-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pca-based-out-of-sample-extension-for-dimensionality-reduction-1511.00831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pca-based-out-of-sample-extension-for-dimensionality-reduction-1511.00831"/></url>
<url><loc>https://scifaro.com/en/abs/quantification-of-observed-prior-and-likelihood-information-in-parametric-bayesian-modeling-1511.01214</loc><lastmod>2017-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantification-of-observed-prior-and-likelihood-information-in-parametric-bayesian-modeling-1511.01214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantification-of-observed-prior-and-likelihood-information-in-parametric-bayesian-modeling-1511.01214"/></url>
<url><loc>https://scifaro.com/en/abs/co-clustering-network-constrained-trajectory-data-1511.01281</loc><lastmod>2015-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/co-clustering-network-constrained-trajectory-data-1511.01281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/co-clustering-network-constrained-trajectory-data-1511.01281"/></url>
<url><loc>https://scifaro.com/en/abs/lasso-based-feature-selection-for-malaria-risk-exposure-prediction-1511.01284</loc><lastmod>2015-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lasso-based-feature-selection-for-malaria-risk-exposure-prediction-1511.01284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lasso-based-feature-selection-for-malaria-risk-exposure-prediction-1511.01284"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-learning-of-a-union-of-sparsifying-transforms-model-for-blind-compressed-sensing-1511.01289</loc><lastmod>2016-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-learning-of-a-union-of-sparsifying-transforms-model-for-blind-compressed-sensing-1511.01289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-learning-of-a-union-of-sparsifying-transforms-model-for-blind-compressed-sensing-1511.01289"/></url>
<url><loc>https://scifaro.com/en/abs/dictionary-descent-in-optimization-1511.01304</loc><lastmod>2015-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dictionary-descent-in-optimization-1511.01304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dictionary-descent-in-optimization-1511.01304"/></url>
<url><loc>https://scifaro.com/en/abs/train-and-test-tightness-of-lp-relaxations-in-structured-prediction-1511.01419</loc><lastmod>2016-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/train-and-test-tightness-of-lp-relaxations-in-structured-prediction-1511.01419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/train-and-test-tightness-of-lp-relaxations-in-structured-prediction-1511.01419"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-the-evaluation-of-generative-models-1511.01844</loc><lastmod>2016-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-the-evaluation-of-generative-models-1511.01844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-the-evaluation-of-generative-models-1511.01844"/></url>
<url><loc>https://scifaro.com/en/abs/a-sparse-linear-model-and-significance-test-for-individual-consumption-prediction-1511.01853</loc><lastmod>2017-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sparse-linear-model-and-significance-test-for-individual-consumption-prediction-1511.01853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sparse-linear-model-and-significance-test-for-individual-consumption-prediction-1511.01853"/></url>
<url><loc>https://scifaro.com/en/abs/neutralized-empirical-risk-minimization-with-generalization-neutrality-bound-1511.01987</loc><lastmod>2015-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neutralized-empirical-risk-minimization-with-generalization-neutrality-bound-1511.01987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neutralized-empirical-risk-minimization-with-generalization-neutrality-bound-1511.01987"/></url>
<url><loc>https://scifaro.com/en/abs/finding-structure-in-data-using-multivariate-tree-boosting-1511.02025</loc><lastmod>2017-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-structure-in-data-using-multivariate-tree-boosting-1511.02025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-structure-in-data-using-multivariate-tree-boosting-1511.02025"/></url>
<url><loc>https://scifaro.com/en/abs/barrier-frank-wolfe-for-marginal-inference-1511.02124</loc><lastmod>2015-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/barrier-frank-wolfe-for-marginal-inference-1511.02124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/barrier-frank-wolfe-for-marginal-inference-1511.02124"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-non-asymptotic-lower-bound-on-the-minimax-regret-of-learning-with-expert-advice-1511.02176</loc><lastmod>2015-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-non-asymptotic-lower-bound-on-the-minimax-regret-of-learning-with-expert-advice-1511.02176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-non-asymptotic-lower-bound-on-the-minimax-regret-of-learning-with-expert-advice-1511.02176"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-regularization-parameter-selection-via-stochastic-gradient-descent-1511.02187</loc><lastmod>2016-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-regularization-parameter-selection-via-stochastic-gradient-descent-1511.02187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-regularization-parameter-selection-via-stochastic-gradient-descent-1511.02187"/></url>
<url><loc>https://scifaro.com/en/abs/the-poisson-gamma-belief-network-1511.02199</loc><lastmod>2015-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-poisson-gamma-belief-network-1511.02199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-poisson-gamma-belief-network-1511.02199"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-variational-models-1511.02386</loc><lastmod>2016-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-variational-models-1511.02386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-variational-models-1511.02386"/></url>
<url><loc>https://scifaro.com/en/abs/sandwiching-the-marginal-likelihood-using-bidirectional-monte-carlo-1511.02543</loc><lastmod>2015-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sandwiching-the-marginal-likelihood-using-bidirectional-monte-carlo-1511.02543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sandwiching-the-marginal-likelihood-using-bidirectional-monte-carlo-1511.02543"/></url>
<url><loc>https://scifaro.com/en/abs/learning-instrumental-variables-with-non-gaussianity-assumptions-theoretical-limitations-and-practical-algorithms-1511.02722</loc><lastmod>2015-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-instrumental-variables-with-non-gaussianity-assumptions-theoretical-limitations-and-practical-algorithms-1511.02722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-instrumental-variables-with-non-gaussianity-assumptions-theoretical-limitations-and-practical-algorithms-1511.02722"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayesian-high-dimensional-bipartite-ranking-1511.02729</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayesian-high-dimensional-bipartite-ranking-1511.02729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayesian-high-dimensional-bipartite-ranking-1511.02729"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-in-cumulative-distribution-fields-1511.02796</loc><lastmod>2015-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-in-cumulative-distribution-fields-1511.02796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-in-cumulative-distribution-fields-1511.02796"/></url>
<url><loc>https://scifaro.com/en/abs/partial-membership-latent-dirichlet-allocation-1511.02821</loc><lastmod>2016-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partial-membership-latent-dirichlet-allocation-1511.02821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partial-membership-latent-dirichlet-allocation-1511.02821"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-alpha-divergence-minimization-1511.03243</loc><lastmod>2016-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-alpha-divergence-minimization-1511.03243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-alpha-divergence-minimization-1511.03243"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-expectation-propagation-for-large-scale-gaussian-process-classification-1511.03249</loc><lastmod>2015-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-expectation-propagation-for-large-scale-gaussian-process-classification-1511.03249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-expectation-propagation-for-large-scale-gaussian-process-classification-1511.03249"/></url>
<url><loc>https://scifaro.com/en/abs/a-hierarchical-spectral-method-for-extreme-classification-1511.03260</loc><lastmod>2016-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hierarchical-spectral-method-for-extreme-classification-1511.03260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hierarchical-spectral-method-for-extreme-classification-1511.03260"/></url>
<url><loc>https://scifaro.com/en/abs/anchored-discrete-factor-analysis-1511.03299</loc><lastmod>2015-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anchored-discrete-factor-analysis-1511.03299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anchored-discrete-factor-analysis-1511.03299"/></url>
<url><loc>https://scifaro.com/en/abs/training-deep-gaussian-processes-using-stochastic-expectation-propagation-and-probabilistic-backpropagation-1511.03405</loc><lastmod>2015-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-deep-gaussian-processes-using-stochastic-expectation-propagation-and-probabilistic-backpropagation-1511.03405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-deep-gaussian-processes-using-stochastic-expectation-propagation-and-probabilistic-backpropagation-1511.03405"/></url>
<url><loc>https://scifaro.com/en/abs/dimension-of-marginals-of-kronecker-product-models-1511.03570</loc><lastmod>2015-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimension-of-marginals-of-kronecker-product-models-1511.03570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimension-of-marginals-of-kronecker-product-models-1511.03570"/></url>
<url><loc>https://scifaro.com/en/abs/unifying-distillation-and-privileged-information-1511.03643</loc><lastmod>2016-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unifying-distillation-and-privileged-information-1511.03643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unifying-distillation-and-privileged-information-1511.03643"/></url>
<url><loc>https://scifaro.com/en/abs/online-principal-component-analysis-in-high-dimension-which-algorithm-to-choose-1511.03688</loc><lastmod>2015-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-principal-component-analysis-in-high-dimension-which-algorithm-to-choose-1511.03688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-principal-component-analysis-in-high-dimension-which-algorithm-to-choose-1511.03688"/></url>
<url><loc>https://scifaro.com/en/abs/random-multi-constraint-projection-stochastic-gradient-methods-for-convex-optimization-with-many-constraints-1511.03760</loc><lastmod>2015-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-multi-constraint-projection-stochastic-gradient-methods-for-convex-optimization-with-many-constraints-1511.03760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-multi-constraint-projection-stochastic-gradient-methods-for-convex-optimization-with-many-constraints-1511.03760"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-analysis-of-dynamic-linear-topic-models-1511.03947</loc><lastmod>2015-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-analysis-of-dynamic-linear-topic-models-1511.03947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-analysis-of-dynamic-linear-topic-models-1511.03947"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-inference-of-the-quantile-parameter-1511.03990</loc><lastmod>2015-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-inference-of-the-quantile-parameter-1511.03990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-inference-of-the-quantile-parameter-1511.03990"/></url>
<url><loc>https://scifaro.com/en/abs/deep-mean-maps-1511.04150</loc><lastmod>2021-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-mean-maps-1511.04150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-mean-maps-1511.04150"/></url>
<url><loc>https://scifaro.com/en/abs/neuroprosthetic-decoder-training-as-imitation-learning-1511.04156</loc><lastmod>2016-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuroprosthetic-decoder-training-as-imitation-learning-1511.04156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuroprosthetic-decoder-training-as-imitation-learning-1511.04156"/></url>
<url><loc>https://scifaro.com/en/abs/k-means-fighting-against-degeneracy-in-sequential-monte-carlo-with-an-application-to-tracking-1511.04157</loc><lastmod>2015-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-means-fighting-against-degeneracy-in-sequential-monte-carlo-with-an-application-to-tracking-1511.04157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-means-fighting-against-degeneracy-in-sequential-monte-carlo-with-an-application-to-tracking-1511.04157"/></url>
<url><loc>https://scifaro.com/en/abs/active-contextual-entropy-search-1511.04211</loc><lastmod>2015-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-contextual-entropy-search-1511.04211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-contextual-entropy-search-1511.04211"/></url>
<url><loc>https://scifaro.com/en/abs/handling-class-imbalance-in-link-prediction-using-learning-to-rank-techniques-1511.04383</loc><lastmod>2016-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/handling-class-imbalance-in-link-prediction-using-learning-to-rank-techniques-1511.04383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/handling-class-imbalance-in-link-prediction-using-learning-to-rank-techniques-1511.04383"/></url>
<url><loc>https://scifaro.com/en/abs/lass-0-sparse-non-convex-regression-by-local-search-1511.04402</loc><lastmod>2016-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lass-0-sparse-non-convex-regression-by-local-search-1511.04402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lass-0-sparse-non-convex-regression-by-local-search-1511.04402"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-gaussian-processes-for-characterizing-multidimensional-change-surfaces-1511.04408</loc><lastmod>2015-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-gaussian-processes-for-characterizing-multidimensional-change-surfaces-1511.04408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-gaussian-processes-for-characterizing-multidimensional-change-surfaces-1511.04408"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-nonlinear-regression-parameter-estimation-and-asymptotic-inference-1511.04514</loc><lastmod>2015-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-nonlinear-regression-parameter-estimation-and-asymptotic-inference-1511.04514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-nonlinear-regression-parameter-estimation-and-asymptotic-inference-1511.04514"/></url>
<url><loc>https://scifaro.com/en/abs/a-test-of-relative-similarity-for-model-selection-in-generative-models-1511.04581</loc><lastmod>2016-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-test-of-relative-similarity-for-model-selection-in-generative-models-1511.04581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-test-of-relative-similarity-for-model-selection-in-generative-models-1511.04581"/></url>
<url><loc>https://scifaro.com/en/abs/mixtures-of-sparse-autoregressive-networks-1511.04776</loc><lastmod>2016-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixtures-of-sparse-autoregressive-networks-1511.04776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixtures-of-sparse-autoregressive-networks-1511.04776"/></url>
<url><loc>https://scifaro.com/en/abs/causal-interpretation-rules-for-encoding-and-decoding-models-in-neuroimaging-1511.04780</loc><lastmod>2015-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-interpretation-rules-for-encoding-and-decoding-models-in-neuroimaging-1511.04780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-interpretation-rules-for-encoding-and-decoding-models-in-neuroimaging-1511.04780"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-segmentation-via-total-variation-regularization-1511.04817</loc><lastmod>2015-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-segmentation-via-total-variation-regularization-1511.04817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-segmentation-via-total-variation-regularization-1511.04817"/></url>
<url><loc>https://scifaro.com/en/abs/fast-clustering-for-scalable-statistical-analysis-on-structured-images-1511.04898</loc><lastmod>2015-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-clustering-for-scalable-statistical-analysis-on-structured-images-1511.04898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-clustering-for-scalable-statistical-analysis-on-structured-images-1511.04898"/></url>
<url><loc>https://scifaro.com/en/abs/learning-about-spanish-dialects-through-twitter-1511.04970</loc><lastmod>2017-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-about-spanish-dialects-through-twitter-1511.04970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-about-spanish-dialects-through-twitter-1511.04970"/></url>
<url><loc>https://scifaro.com/en/abs/how-not-to-train-your-generative-model-scheduled-sampling-likelihood-adversary-1511.05101</loc><lastmod>2015-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-not-to-train-your-generative-model-scheduled-sampling-likelihood-adversary-1511.05101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-not-to-train-your-generative-model-scheduled-sampling-likelihood-adversary-1511.05101"/></url>
<url><loc>https://scifaro.com/en/abs/deep-kalman-filters-1511.05121</loc><lastmod>2015-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-kalman-filters-1511.05121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-kalman-filters-1511.05121"/></url>
<url><loc>https://scifaro.com/en/abs/how-much-does-your-data-exploration-overfit-controlling-bias-via-information-usage-1511.05219</loc><lastmod>2019-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-much-does-your-data-exploration-overfit-controlling-bias-via-information-usage-1511.05219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-much-does-your-data-exploration-overfit-controlling-bias-via-information-usage-1511.05219"/></url>
<url><loc>https://scifaro.com/en/abs/auc-maximized-deep-convolutional-neural-fields-for-sequence-labeling-1511.05265</loc><lastmod>2015-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auc-maximized-deep-convolutional-neural-fields-for-sequence-labeling-1511.05265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auc-maximized-deep-convolutional-neural-fields-for-sequence-labeling-1511.05265"/></url>
<url><loc>https://scifaro.com/en/abs/optimized-linear-imputation-1511.05309</loc><lastmod>2016-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimized-linear-imputation-1511.05309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimized-linear-imputation-1511.05309"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-with-dimension-scheduling-application-to-biological-systems-1511.05385</loc><lastmod>2016-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-with-dimension-scheduling-application-to-biological-systems-1511.05385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-with-dimension-scheduling-application-to-biological-systems-1511.05385"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-dimensionality-of-word-embeddings-1511.05392</loc><lastmod>2017-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-dimensionality-of-word-embeddings-1511.05392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-dimensionality-of-word-embeddings-1511.05392"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-adversarial-training-increasing-local-stability-of-neural-nets-through-robust-optimization-1511.05432</loc><lastmod>2018-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-adversarial-training-increasing-local-stability-of-neural-nets-through-robust-optimization-1511.05432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-adversarial-training-increasing-local-stability-of-neural-nets-through-robust-optimization-1511.05432"/></url>
<url><loc>https://scifaro.com/en/abs/extending-gossip-algorithms-to-distributed-estimation-of-u-statistics-1511.05464</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extending-gossip-algorithms-to-distributed-estimation-of-u-statistics-1511.05464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extending-gossip-algorithms-to-distributed-estimation-of-u-statistics-1511.05464"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-entropy-search-for-multi-objective-bayesian-optimization-1511.05467</loc><lastmod>2016-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-entropy-search-for-multi-objective-bayesian-optimization-1511.05467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-entropy-search-for-multi-objective-bayesian-optimization-1511.05467"/></url>
<url><loc>https://scifaro.com/en/abs/tree-guided-mcmc-inference-for-normalized-random-measure-mixture-models-1511.05650</loc><lastmod>2015-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tree-guided-mcmc-inference-for-normalized-random-measure-mixture-models-1511.05650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tree-guided-mcmc-inference-for-normalized-random-measure-mixture-models-1511.05650"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-hypothesis-testing-for-one-bit-compressed-sensing-with-sensing-matrix-perturbation-1511.05660</loc><lastmod>2015-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-hypothesis-testing-for-one-bit-compressed-sensing-with-sensing-matrix-perturbation-1511.05660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-hypothesis-testing-for-one-bit-compressed-sensing-with-sensing-matrix-perturbation-1511.05660"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-output-kernel-learning-for-multiple-tasks-1511.05706</loc><lastmod>2015-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-output-kernel-learning-for-multiple-tasks-1511.05706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-output-kernel-learning-for-multiple-tasks-1511.05706"/></url>
<url><loc>https://scifaro.com/en/abs/alternative-markov-and-causal-properties-for-acyclic-directed-mixed-graphs-1511.05835</loc><lastmod>2016-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alternative-markov-and-causal-properties-for-acyclic-directed-mixed-graphs-1511.05835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alternative-markov-and-causal-properties-for-acyclic-directed-mixed-graphs-1511.05835"/></url>
<url><loc>https://scifaro.com/en/abs/using-machine-learning-to-predict-the-outcome-of-english-county-twenty-over-cricket-matches-1511.05837</loc><lastmod>2015-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-machine-learning-to-predict-the-outcome-of-english-county-twenty-over-cricket-matches-1511.05837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-machine-learning-to-predict-the-outcome-of-english-county-twenty-over-cricket-matches-1511.05837"/></url>
<url><loc>https://scifaro.com/en/abs/fast-saddle-point-algorithm-for-generalized-dantzig-selector-and-fdr-control-with-the-ordered-l1-norm-1511.05864</loc><lastmod>2016-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-saddle-point-algorithm-for-generalized-dantzig-selector-and-fdr-control-with-the-ordered-l1-norm-1511.05864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-saddle-point-algorithm-for-generalized-dantzig-selector-and-fdr-control-with-the-ordered-l1-norm-1511.05864"/></url>
<url><loc>https://scifaro.com/en/abs/metric-learning-with-adaptive-density-discrimination-1511.05939</loc><lastmod>2016-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metric-learning-with-adaptive-density-discrimination-1511.05939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metric-learning-with-adaptive-density-discrimination-1511.05939"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-method-with-accelerated-stochastic-dynamics-1511.06036</loc><lastmod>2016-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-method-with-accelerated-stochastic-dynamics-1511.06036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-method-with-accelerated-stochastic-dynamics-1511.06036"/></url>
<url><loc>https://scifaro.com/en/abs/sparknet-training-deep-networks-in-spark-1511.06051</loc><lastmod>2016-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparknet-training-deep-networks-in-spark-1511.06051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparknet-training-deep-networks-in-spark-1511.06051"/></url>
<url><loc>https://scifaro.com/en/abs/the-kernel-two-sample-test-for-brain-networks-1511.06120</loc><lastmod>2015-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-kernel-two-sample-test-for-brain-networks-1511.06120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-kernel-two-sample-test-for-brain-networks-1511.06120"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-representations-1511.06208</loc><lastmod>2015-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-representations-1511.06208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-representations-1511.06208"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-and-semi-supervised-learning-with-categorical-generative-adversarial-networks-1511.06390</loc><lastmod>2016-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-and-semi-supervised-learning-with-categorical-generative-adversarial-networks-1511.06390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-and-semi-supervised-learning-with-categorical-generative-adversarial-networks-1511.06390"/></url>
<url><loc>https://scifaro.com/en/abs/order-matters-sequence-to-sequence-for-sets-1511.06391</loc><lastmod>2016-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/order-matters-sequence-to-sequence-for-sets-1511.06391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/order-matters-sequence-to-sequence-for-sets-1511.06391"/></url>
<url><loc>https://scifaro.com/en/abs/canonical-autocorrelation-analysis-1511.06419</loc><lastmod>2015-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/canonical-autocorrelation-analysis-1511.06419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/canonical-autocorrelation-analysis-1511.06419"/></url>
<url><loc>https://scifaro.com/en/abs/an-information-retrieval-approach-to-finding-dependent-subspaces-of-multiple-views-1511.06423</loc><lastmod>2016-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-information-retrieval-approach-to-finding-dependent-subspaces-of-multiple-views-1511.06423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-information-retrieval-approach-to-finding-dependent-subspaces-of-multiple-views-1511.06423"/></url>
<url><loc>https://scifaro.com/en/abs/joint-inverse-covariances-estimation-with-mutual-linear-structure-1511.06462</loc><lastmod>2015-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-inverse-covariances-estimation-with-mutual-linear-structure-1511.06462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-inverse-covariances-estimation-with-mutual-linear-structure-1511.06462"/></url>
<url><loc>https://scifaro.com/en/abs/variance-reduction-in-sgd-by-distributed-importance-sampling-1511.06481</loc><lastmod>2016-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-reduction-in-sgd-by-distributed-importance-sampling-1511.06481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-reduction-in-sgd-by-distributed-importance-sampling-1511.06481"/></url>
<url><loc>https://scifaro.com/en/abs/the-variational-gaussian-process-1511.06499</loc><lastmod>2016-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-variational-gaussian-process-1511.06499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-variational-gaussian-process-1511.06499"/></url>
<url><loc>https://scifaro.com/en/abs/top-k-multiclass-svm-1511.06683</loc><lastmod>2015-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/top-k-multiclass-svm-1511.06683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/top-k-multiclass-svm-1511.06683"/></url>
<url><loc>https://scifaro.com/en/abs/plda-with-two-sources-of-inter-session-variability-1511.06772</loc><lastmod>2015-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/plda-with-two-sources-of-inter-session-variability-1511.06772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/plda-with-two-sources-of-inter-session-variability-1511.06772"/></url>
<url><loc>https://scifaro.com/en/abs/adding-gradient-noise-improves-learning-for-very-deep-networks-1511.06807</loc><lastmod>2015-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adding-gradient-noise-improves-learning-for-very-deep-networks-1511.06807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adding-gradient-noise-improves-learning-for-very-deep-networks-1511.06807"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-planning-with-lipschitz-continuous-reward-functions-towards-unifying-bayesian-optimization-active-learning-and-beyond-1511.06890</loc><lastmod>2015-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-planning-with-lipschitz-continuous-reward-functions-towards-unifying-bayesian-optimization-active-learning-and-beyond-1511.06890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-planning-with-lipschitz-continuous-reward-functions-towards-unifying-bayesian-optimization-active-learning-and-beyond-1511.06890"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-active-learning-of-multi-output-gaussian-processes-1511.06891</loc><lastmod>2015-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-active-learning-of-multi-output-gaussian-processes-1511.06891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-active-learning-of-multi-output-gaussian-processes-1511.06891"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-parallel-block-coordinate-descent-for-large-scale-saddle-point-problems-1511.07294</loc><lastmod>2015-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-parallel-block-coordinate-descent-for-large-scale-saddle-point-problems-1511.07294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-parallel-block-coordinate-descent-for-large-scale-saddle-point-problems-1511.07294"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-splda-1511.07318</loc><lastmod>2015-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-splda-1511.07318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-splda-1511.07318"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-variational-inference-for-state-space-models-1511.07367</loc><lastmod>2015-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-variational-inference-for-state-space-models-1511.07367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-variational-inference-for-state-space-models-1511.07367"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-adaptation-of-splda-1511.07421</loc><lastmod>2015-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-adaptation-of-splda-1511.07421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-adaptation-of-splda-1511.07421"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bayes-factor-analysis-for-i-vector-extraction-1511.07422</loc><lastmod>2015-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayes-factor-analysis-for-i-vector-extraction-1511.07422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayes-factor-analysis-for-i-vector-extraction-1511.07422"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-properties-of-the-single-linkage-hierarchical-clustering-estimator-1511.07715</loc><lastmod>2016-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-properties-of-the-single-linkage-hierarchical-clustering-estimator-1511.07715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-properties-of-the-single-linkage-hierarchical-clustering-estimator-1511.07715"/></url>
<url><loc>https://scifaro.com/en/abs/private-posterior-distributions-from-variational-approximations-1511.07896</loc><lastmod>2015-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-posterior-distributions-from-variational-approximations-1511.07896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-posterior-distributions-from-variational-approximations-1511.07896"/></url>
<url><loc>https://scifaro.com/en/abs/performance-limits-of-stochastic-sub-gradient-learning-part-i-single-agent-case-1511.07902</loc><lastmod>2017-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-limits-of-stochastic-sub-gradient-learning-part-i-single-agent-case-1511.07902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-limits-of-stochastic-sub-gradient-learning-part-i-single-agent-case-1511.07902"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-likelihood-estimation-for-single-linkage-hierarchical-clustering-1511.07944</loc><lastmod>2015-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-likelihood-estimation-for-single-linkage-hierarchical-clustering-1511.07944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-likelihood-estimation-for-single-linkage-hierarchical-clustering-1511.07944"/></url>
<url><loc>https://scifaro.com/en/abs/unifying-decision-trees-split-criteria-using-tsallis-entropy-1511.08136</loc><lastmod>2016-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unifying-decision-trees-split-criteria-using-tsallis-entropy-1511.08136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unifying-decision-trees-split-criteria-using-tsallis-entropy-1511.08136"/></url>
<url><loc>https://scifaro.com/en/abs/random-forests-for-big-data-1511.08327</loc><lastmod>2017-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-forests-for-big-data-1511.08327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-forests-for-big-data-1511.08327"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-for-differentially-private-multi-armed-bandits-1511.08681</loc><lastmod>2015-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-for-differentially-private-multi-armed-bandits-1511.08681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-for-differentially-private-multi-armed-bandits-1511.08681"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-estimation-with-simultaneous-perturbation-and-compressive-sensing-1511.08768</loc><lastmod>2016-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-estimation-with-simultaneous-perturbation-and-compressive-sensing-1511.08768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-estimation-with-simultaneous-perturbation-and-compressive-sensing-1511.08768"/></url>
<url><loc>https://scifaro.com/en/abs/newton-stein-method-an-optimization-method-for-glms-via-stein-s-lemma-1511.08895</loc><lastmod>2015-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/newton-stein-method-an-optimization-method-for-glms-via-stein-s-lemma-1511.08895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/newton-stein-method-an-optimization-method-for-glms-via-stein-s-lemma-1511.08895"/></url>
<url><loc>https://scifaro.com/en/abs/alternating-direction-method-of-multipliers-for-regularized-multiclass-support-vector-machines-1511.09153</loc><lastmod>2015-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alternating-direction-method-of-multipliers-for-regularized-multiclass-support-vector-machines-1511.09153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alternating-direction-method-of-multipliers-for-regularized-multiclass-support-vector-machines-1511.09153"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-gradient-method-for-huberized-support-vector-machine-1511.09159</loc><lastmod>2015-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-gradient-method-for-huberized-support-vector-machine-1511.09159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-gradient-method-for-huberized-support-vector-machine-1511.09159"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-framework-for-constrained-bayesian-optimization-using-information-based-search-1511.09422</loc><lastmod>2016-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-framework-for-constrained-bayesian-optimization-using-information-based-search-1511.09422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-framework-for-constrained-bayesian-optimization-using-information-based-search-1511.09422"/></url>
<url><loc>https://scifaro.com/en/abs/k-nearest-neighbour-classification-of-datasets-with-a-family-of-distances-1512.00001</loc><lastmod>2015-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-nearest-neighbour-classification-of-datasets-with-a-family-of-distances-1512.00001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-nearest-neighbour-classification-of-datasets-with-a-family-of-distances-1512.00001"/></url>
<url><loc>https://scifaro.com/en/abs/highly-scalable-tensor-factorization-for-prediction-of-drug-protein-interaction-type-1512.00315</loc><lastmod>2015-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/highly-scalable-tensor-factorization-for-prediction-of-drug-protein-interaction-type-1512.00315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/highly-scalable-tensor-factorization-for-prediction-of-drug-protein-interaction-type-1512.00315"/></url>
<url><loc>https://scifaro.com/en/abs/loss-functions-for-top-k-error-analysis-and-insights-1512.00486</loc><lastmod>2016-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loss-functions-for-top-k-error-analysis-and-insights-1512.00486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loss-functions-for-top-k-error-analysis-and-insights-1512.00486"/></url>
<url><loc>https://scifaro.com/en/abs/mean-field-inference-in-gaussian-restricted-boltzmann-machine-1512.00927</loc><lastmod>2016-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-field-inference-in-gaussian-restricted-boltzmann-machine-1512.00927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-field-inference-in-gaussian-restricted-boltzmann-machine-1512.00927"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-integration-a-role-in-statistical-computation-1512.00933</loc><lastmod>2017-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-integration-a-role-in-statistical-computation-1512.00933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-integration-a-role-in-statistical-computation-1512.00933"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-statistical-framework-for-genetic-pleiotropic-analysis-of-high-dimensional-phenotype-data-1512.00947</loc><lastmod>2015-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-statistical-framework-for-genetic-pleiotropic-analysis-of-high-dimensional-phenotype-data-1512.00947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-statistical-framework-for-genetic-pleiotropic-analysis-of-high-dimensional-phenotype-data-1512.00947"/></url>
<url><loc>https://scifaro.com/en/abs/bag-reference-vector-for-multi-instance-learning-1512.00994</loc><lastmod>2015-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bag-reference-vector-for-multi-instance-learning-1512.00994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bag-reference-vector-for-multi-instance-learning-1512.00994"/></url>
<url><loc>https://scifaro.com/en/abs/adjusting-for-chance-clustering-comparison-measures-1512.01286</loc><lastmod>2015-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adjusting-for-chance-clustering-comparison-measures-1512.01286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adjusting-for-chance-clustering-comparison-measures-1512.01286"/></url>
<url><loc>https://scifaro.com/en/abs/neuron-s-eye-view-inferring-features-of-complex-stimuli-from-neural-responses-1512.01408</loc><lastmod>2016-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuron-s-eye-view-inferring-features-of-complex-stimuli-from-neural-responses-1512.01408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuron-s-eye-view-inferring-features-of-complex-stimuli-from-neural-responses-1512.01408"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-collapsed-variational-inference-for-hidden-markov-models-1512.01665</loc><lastmod>2015-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-collapsed-variational-inference-for-hidden-markov-models-1512.01665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-collapsed-variational-inference-for-hidden-markov-models-1512.01665"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-collapsed-variational-inference-for-sequential-data-1512.01666</loc><lastmod>2015-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-collapsed-variational-inference-for-sequential-data-1512.01666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-collapsed-variational-inference-for-sequential-data-1512.01666"/></url>
<url><loc>https://scifaro.com/en/abs/gauss-quadrature-for-matrix-inverse-forms-with-applications-1512.01904</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gauss-quadrature-for-matrix-inverse-forms-with-applications-1512.01904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gauss-quadrature-for-matrix-inverse-forms-with-applications-1512.01904"/></url>
<url><loc>https://scifaro.com/en/abs/learning-population-and-subject-specific-brain-connectivity-networks-via-mixed-neighborhood-selection-1512.01947</loc><lastmod>2015-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-population-and-subject-specific-brain-connectivity-networks-via-mixed-neighborhood-selection-1512.01947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-population-and-subject-specific-brain-connectivity-networks-via-mixed-neighborhood-selection-1512.01947"/></url>
<url><loc>https://scifaro.com/en/abs/an-explicit-rate-bound-for-the-over-relaxed-admm-1512.02063</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-explicit-rate-bound-for-the-over-relaxed-admm-1512.02063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-explicit-rate-bound-for-the-over-relaxed-admm-1512.02063"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-by-deep-nearest-neighbor-descent-d-nnd-a-density-based-parameter-insensitive-clustering-method-1512.02097</loc><lastmod>2015-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-by-deep-nearest-neighbor-descent-d-nnd-a-density-based-parameter-insensitive-clustering-method-1512.02097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-by-deep-nearest-neighbor-descent-d-nnd-a-density-based-parameter-insensitive-clustering-method-1512.02097"/></url>
<url><loc>https://scifaro.com/en/abs/gibbs-type-indian-buffet-processes-1512.02543</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gibbs-type-indian-buffet-processes-1512.02543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gibbs-type-indian-buffet-processes-1512.02543"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-training-of-deep-neural-networks-with-theoretical-analysis-under-ssp-setting-1512.02728</loc><lastmod>2016-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-training-of-deep-neural-networks-with-theoretical-analysis-under-ssp-setting-1512.02728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-training-of-deep-neural-networks-with-theoretical-analysis-under-ssp-setting-1512.02728"/></url>
<url><loc>https://scifaro.com/en/abs/partial-reinitialisation-for-optimisers-1512.03025</loc><lastmod>2015-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partial-reinitialisation-for-optimisers-1512.03025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partial-reinitialisation-for-optimisers-1512.03025"/></url>
<url><loc>https://scifaro.com/en/abs/gamma-belief-networks-1512.03081</loc><lastmod>2016-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gamma-belief-networks-1512.03081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gamma-belief-networks-1512.03081"/></url>
<url><loc>https://scifaro.com/en/abs/inference-in-topic-models-sparsity-and-trade-off-1512.03300</loc><lastmod>2015-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-in-topic-models-sparsity-and-trade-off-1512.03300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-in-topic-models-sparsity-and-trade-off-1512.03300"/></url>
<url><loc>https://scifaro.com/en/abs/guaranteed-inference-in-topic-models-1512.03308</loc><lastmod>2016-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guaranteed-inference-in-topic-models-1512.03308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guaranteed-inference-in-topic-models-1512.03308"/></url>
<url><loc>https://scifaro.com/en/abs/boosted-sparse-non-linear-distance-metric-learning-1512.03396</loc><lastmod>2015-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosted-sparse-non-linear-distance-metric-learning-1512.03396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosted-sparse-non-linear-distance-metric-learning-1512.03396"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-modeling-of-conversational-role-based-self-presentation-characteristics-in-large-online-forums-1512.03443</loc><lastmod>2015-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-modeling-of-conversational-role-based-self-presentation-characteristics-in-large-online-forums-1512.03443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-modeling-of-conversational-role-based-self-presentation-characteristics-in-large-online-forums-1512.03443"/></url>
<url><loc>https://scifaro.com/en/abs/cross-validated-variable-selection-in-tree-based-methods-improves-predictive-performance-1512.03444</loc><lastmod>2015-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-validated-variable-selection-in-tree-based-methods-improves-predictive-performance-1512.03444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-validated-variable-selection-in-tree-based-methods-improves-predictive-performance-1512.03444"/></url>
<url><loc>https://scifaro.com/en/abs/distilling-knowledge-from-deep-networks-with-applications-to-healthcare-domain-1512.03542</loc><lastmod>2015-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distilling-knowledge-from-deep-networks-with-applications-to-healthcare-domain-1512.03542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distilling-knowledge-from-deep-networks-with-applications-to-healthcare-domain-1512.03542"/></url>
<url><loc>https://scifaro.com/en/abs/big-data-scaling-through-metric-mapping-exploiting-the-remarkable-simplicity-of-very-high-dimensional-spaces-using-correspondence-analysis-1512.04052</loc><lastmod>2015-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/big-data-scaling-through-metric-mapping-exploiting-the-remarkable-simplicity-of-very-high-dimensional-spaces-using-correspondence-analysis-1512.04052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/big-data-scaling-through-metric-mapping-exploiting-the-remarkable-simplicity-of-very-high-dimensional-spaces-using-correspondence-analysis-1512.04052"/></url>
<url><loc>https://scifaro.com/en/abs/preconditioned-stochastic-gradient-descent-1512.04202</loc><lastmod>2017-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preconditioned-stochastic-gradient-descent-1512.04202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preconditioned-stochastic-gradient-descent-1512.04202"/></url>
<url><loc>https://scifaro.com/en/abs/decoding-index-finger-position-from-eeg-using-random-forests-1512.04274</loc><lastmod>2015-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoding-index-finger-position-from-eeg-using-random-forests-1512.04274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoding-index-finger-position-from-eeg-using-random-forests-1512.04274"/></url>
<url><loc>https://scifaro.com/en/abs/causal-and-anti-causal-learning-in-pattern-recognition-for-neuroimaging-1512.04808</loc><lastmod>2015-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-and-anti-causal-learning-in-pattern-recognition-for-neuroimaging-1512.04808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-and-anti-causal-learning-in-pattern-recognition-for-neuroimaging-1512.04808"/></url>
<url><loc>https://scifaro.com/en/abs/feature-level-domain-adaptation-1512.04829</loc><lastmod>2016-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-level-domain-adaptation-1512.04829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-level-domain-adaptation-1512.04829"/></url>
<url><loc>https://scifaro.com/en/abs/relative-density-and-exact-recovery-in-heterogeneous-stochastic-block-models-1512.04937</loc><lastmod>2015-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relative-density-and-exact-recovery-in-heterogeneous-stochastic-block-models-1512.04937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relative-density-and-exact-recovery-in-heterogeneous-stochastic-block-models-1512.04937"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-minimum-divergence-approach-to-robust-speaker-identification-1512.05073</loc><lastmod>2015-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-minimum-divergence-approach-to-robust-speaker-identification-1512.05073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-minimum-divergence-approach-to-robust-speaker-identification-1512.05073"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-hybrid-architecture-for-sequence-regression-and-annotation-1512.05219</loc><lastmod>2015-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-hybrid-architecture-for-sequence-regression-and-annotation-1512.05219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-hybrid-architecture-for-sequence-regression-and-annotation-1512.05219"/></url>
<url><loc>https://scifaro.com/en/abs/a-theoretically-grounded-application-of-dropout-in-recurrent-neural-networks-1512.05287</loc><lastmod>2016-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theoretically-grounded-application-of-dropout-in-recurrent-neural-networks-1512.05287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theoretically-grounded-application-of-dropout-in-recurrent-neural-networks-1512.05287"/></url>
<url><loc>https://scifaro.com/en/abs/private-causal-inference-1512.05469</loc><lastmod>2016-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-causal-inference-1512.05469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-causal-inference-1512.05469"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-weak-multi-view-signals-by-sharing-factors-in-a-mixture-of-bayesian-group-factor-analyzers-1512.05610</loc><lastmod>2016-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-weak-multi-view-signals-by-sharing-factors-in-a-mixture-of-bayesian-group-factor-analyzers-1512.05610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-weak-multi-view-signals-by-sharing-factors-in-a-mixture-of-bayesian-group-factor-analyzers-1512.05610"/></url>
<url><loc>https://scifaro.com/en/abs/oracle-inequalities-for-ranking-and-u-processes-with-lasso-penalty-1512.05698</loc><lastmod>2015-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/oracle-inequalities-for-ranking-and-u-processes-with-lasso-penalty-1512.05698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/oracle-inequalities-for-ranking-and-u-processes-with-lasso-penalty-1512.05698"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-anti-sparse-coding-1512.06086</loc><lastmod>2017-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-anti-sparse-coding-1512.06086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-anti-sparse-coding-1512.06086"/></url>
<url><loc>https://scifaro.com/en/abs/expectation-propagation-for-continuous-time-stochastic-processes-1512.06098</loc><lastmod>2016-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expectation-propagation-for-continuous-time-stochastic-processes-1512.06098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expectation-propagation-for-continuous-time-stochastic-processes-1512.06098"/></url>
<url><loc>https://scifaro.com/en/abs/atd-anomalous-topic-discovery-in-high-dimensional-discrete-data-1512.06452</loc><lastmod>2016-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/atd-anomalous-topic-discovery-in-high-dimensional-discrete-data-1512.06452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/atd-anomalous-topic-discovery-in-high-dimensional-discrete-data-1512.06452"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-bounded-rationality-1512.06789</loc><lastmod>2015-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-bounded-rationality-1512.06789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-bounded-rationality-1512.06789"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-algorithms-for-online-convex-optimization-with-long-term-constraints-1512.07422</loc><lastmod>2015-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-algorithms-for-online-convex-optimization-with-long-term-constraints-1512.07422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-algorithms-for-online-convex-optimization-with-long-term-constraints-1512.07422"/></url>
<url><loc>https://scifaro.com/en/abs/k-means-clustering-is-matrix-factorization-1512.07548</loc><lastmod>2015-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-means-clustering-is-matrix-factorization-1512.07548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-means-clustering-is-matrix-factorization-1512.07548"/></url>
<url><loc>https://scifaro.com/en/abs/the-max-k-armed-bandit-pac-lower-bounds-and-efficient-algorithms-1512.07650</loc><lastmod>2015-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-max-k-armed-bandit-pac-lower-bounds-and-efficient-algorithms-1512.07650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-max-k-armed-bandit-pac-lower-bounds-and-efficient-algorithms-1512.07650"/></url>
<url><loc>https://scifaro.com/en/abs/high-order-stochastic-gradient-thermostats-for-bayesian-learning-of-deep-models-1512.07662</loc><lastmod>2015-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-order-stochastic-gradient-thermostats-for-bayesian-learning-of-deep-models-1512.07662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-order-stochastic-gradient-thermostats-for-bayesian-learning-of-deep-models-1512.07662"/></url>
<url><loc>https://scifaro.com/en/abs/preconditioned-stochastic-gradient-langevin-dynamics-for-deep-neural-networks-1512.07666</loc><lastmod>2015-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preconditioned-stochastic-gradient-langevin-dynamics-for-deep-neural-networks-1512.07666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preconditioned-stochastic-gradient-langevin-dynamics-for-deep-neural-networks-1512.07666"/></url>
<url><loc>https://scifaro.com/en/abs/the-lov-asz-hinge-a-novel-convex-surrogate-for-submodular-losses-1512.07797</loc><lastmod>2017-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-lov-asz-hinge-a-novel-convex-surrogate-for-submodular-losses-1512.07797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-lov-asz-hinge-a-novel-convex-surrogate-for-submodular-losses-1512.07797"/></url>
<url><loc>https://scifaro.com/en/abs/multi-level-cause-effect-systems-1512.07942</loc><lastmod>2015-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-level-cause-effect-systems-1512.07942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-level-cause-effect-systems-1512.07942"/></url>
<url><loc>https://scifaro.com/en/abs/histogram-meets-topic-model-density-estimation-by-mixture-of-histograms-1512.07960</loc><lastmod>2015-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/histogram-meets-topic-model-density-estimation-by-mixture-of-histograms-1512.07960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/histogram-meets-topic-model-density-estimation-by-mixture-of-histograms-1512.07960"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-the-gap-between-stochastic-gradient-mcmc-and-stochastic-optimization-1512.07962</loc><lastmod>2016-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-the-gap-between-stochastic-gradient-mcmc-and-stochastic-optimization-1512.07962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-the-gap-between-stochastic-gradient-mcmc-and-stochastic-optimization-1512.07962"/></url>
<url><loc>https://scifaro.com/en/abs/robust-semi-supervised-least-squares-classification-by-implicit-constraints-1512.08240</loc><lastmod>2017-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-semi-supervised-least-squares-classification-by-implicit-constraints-1512.08240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-semi-supervised-least-squares-classification-by-implicit-constraints-1512.08240"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-and-computational-guarantees-for-the-baum-welch-algorithm-1512.08269</loc><lastmod>2015-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-and-computational-guarantees-for-the-baum-welch-algorithm-1512.08269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-and-computational-guarantees-for-the-baum-welch-algorithm-1512.08269"/></url>
<url><loc>https://scifaro.com/en/abs/post-regularization-inference-for-time-varying-nonparanormal-graphical-models-1512.08298</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/post-regularization-inference-for-time-varying-nonparanormal-graphical-models-1512.08298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/post-regularization-inference-for-time-varying-nonparanormal-graphical-models-1512.08298"/></url>
<url><loc>https://scifaro.com/en/abs/testing-for-differences-in-gaussian-graphical-models-applications-to-brain-connectivity-1512.08643</loc><lastmod>2016-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-for-differences-in-gaussian-graphical-models-applications-to-brain-connectivity-1512.08643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-for-differences-in-gaussian-graphical-models-applications-to-brain-connectivity-1512.08643"/></url>
<url><loc>https://scifaro.com/en/abs/error-bounds-for-compressed-sensing-algorithms-with-group-sparsity-a-unified-approach-1512.08673</loc><lastmod>2015-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-bounds-for-compressed-sensing-algorithms-with-group-sparsity-a-unified-approach-1512.08673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-bounds-for-compressed-sensing-algorithms-with-group-sparsity-a-unified-approach-1512.08673"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-completion-under-monotonic-single-index-models-1512.08787</loc><lastmod>2015-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-completion-under-monotonic-single-index-models-1512.08787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-completion-under-monotonic-single-index-models-1512.08787"/></url>
<url><loc>https://scifaro.com/en/abs/common-variable-learning-and-invariant-representation-learning-using-siamese-neural-networks-1512.08806</loc><lastmod>2016-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/common-variable-learning-and-invariant-representation-learning-using-siamese-neural-networks-1512.08806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/common-variable-learning-and-invariant-representation-learning-using-siamese-neural-networks-1512.08806"/></url>
<url><loc>https://scifaro.com/en/abs/sharp-computational-statistical-phase-transitions-via-oracle-computational-model-1512.08861</loc><lastmod>2015-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sharp-computational-statistical-phase-transitions-via-oracle-computational-model-1512.08861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sharp-computational-statistical-phase-transitions-via-oracle-computational-model-1512.08861"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-the-sample-covariance-matrix-from-compressive-measurements-1512.08887</loc><lastmod>2017-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-the-sample-covariance-matrix-from-compressive-measurements-1512.08887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-the-sample-covariance-matrix-from-compressive-measurements-1512.08887"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-bayesian-factor-analysis-for-dynamic-count-matrices-1512.08996</loc><lastmod>2015-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-bayesian-factor-analysis-for-dynamic-count-matrices-1512.08996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-bayesian-factor-analysis-for-dynamic-count-matrices-1512.08996"/></url>
<url><loc>https://scifaro.com/en/abs/strategies-and-principles-of-distributed-machine-learning-on-big-data-1512.09295</loc><lastmod>2016-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strategies-and-principles-of-distributed-machine-learning-on-big-data-1512.09295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strategies-and-principles-of-distributed-machine-learning-on-big-data-1512.09295"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-neural-networks-with-monotonic-activation-functions-1601.00034</loc><lastmod>2016-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-neural-networks-with-monotonic-activation-functions-1601.00034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-neural-networks-with-monotonic-activation-functions-1601.00034"/></url>
<url><loc>https://scifaro.com/en/abs/practical-algorithms-for-learning-near-isometric-linear-embeddings-1601.00062</loc><lastmod>2016-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-algorithms-for-learning-near-isometric-linear-embeddings-1601.00062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-algorithms-for-learning-near-isometric-linear-embeddings-1601.00062"/></url>
<url><loc>https://scifaro.com/en/abs/joint-estimation-of-precision-matrices-in-heterogeneous-populations-1601.00142</loc><lastmod>2016-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-estimation-of-precision-matrices-in-heterogeneous-populations-1601.00142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-estimation-of-precision-matrices-in-heterogeneous-populations-1601.00142"/></url>
<url><loc>https://scifaro.com/en/abs/dimensionality-dependent-generalization-bounds-for-k-dimensional-coding-schemes-1601.00238</loc><lastmod>2016-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimensionality-dependent-generalization-bounds-for-k-dimensional-coding-schemes-1601.00238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimensionality-dependent-generalization-bounds-for-k-dimensional-coding-schemes-1601.00238"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-diffusion-steepest-descent-for-one-bit-compressed-sensing-in-wireless-sensor-networks-1601.00350</loc><lastmod>2016-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-diffusion-steepest-descent-for-one-bit-compressed-sensing-in-wireless-sensor-networks-1601.00350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-diffusion-steepest-descent-for-one-bit-compressed-sensing-in-wireless-sensor-networks-1601.00350"/></url>
<url><loc>https://scifaro.com/en/abs/learning-relationships-between-data-obtained-independently-1601.00504</loc><lastmod>2016-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-relationships-between-data-obtained-independently-1601.00504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-relationships-between-data-obtained-independently-1601.00504"/></url>
<url><loc>https://scifaro.com/en/abs/optimally-pruning-decision-tree-ensembles-with-feature-cost-1601.00955</loc><lastmod>2016-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimally-pruning-decision-tree-ensembles-with-feature-cost-1601.00955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimally-pruning-decision-tree-ensembles-with-feature-cost-1601.00955"/></url>
<url><loc>https://scifaro.com/en/abs/on-bayesian-index-policies-for-sequential-resource-allocation-1601.01190</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-bayesian-index-policies-for-sequential-resource-allocation-1601.01190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-bayesian-index-policies-for-sequential-resource-allocation-1601.01190"/></url>
<url><loc>https://scifaro.com/en/abs/an-oracle-inequality-for-quasi-bayesian-non-negative-matrix-factorization-1601.01345</loc><lastmod>2018-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-oracle-inequality-for-quasi-bayesian-non-negative-matrix-factorization-1601.01345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-oracle-inequality-for-quasi-bayesian-non-negative-matrix-factorization-1601.01345"/></url>
<url><loc>https://scifaro.com/en/abs/fast-kronecker-product-kernel-methods-via-generalized-vec-trick-1601.01507</loc><lastmod>2022-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-kronecker-product-kernel-methods-via-generalized-vec-trick-1601.01507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-kronecker-product-kernel-methods-via-generalized-vec-trick-1601.01507"/></url>
<url><loc>https://scifaro.com/en/abs/song-recommendation-with-non-negative-matrix-factorization-and-graph-total-variation-1601.01892</loc><lastmod>2016-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/song-recommendation-with-non-negative-matrix-factorization-and-graph-total-variation-1601.01892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/song-recommendation-with-non-negative-matrix-factorization-and-graph-total-variation-1601.01892"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-semi-supervised-learning-of-class-proportions-1601.01944</loc><lastmod>2016-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-semi-supervised-learning-of-class-proportions-1601.01944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-semi-supervised-learning-of-class-proportions-1601.01944"/></url>
<url><loc>https://scifaro.com/en/abs/numerical-coding-of-nominal-data-1601.01966</loc><lastmod>2017-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/numerical-coding-of-nominal-data-1601.01966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/numerical-coding-of-nominal-data-1601.01966"/></url>
<url><loc>https://scifaro.com/en/abs/on-computationally-tractable-selection-of-experiments-in-measurement-constrained-regression-models-1601.02068</loc><lastmod>2017-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-computationally-tractable-selection-of-experiments-in-measurement-constrained-regression-models-1601.02068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-computationally-tractable-selection-of-experiments-in-measurement-constrained-regression-models-1601.02068"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-learn-a-graph-from-smooth-signals-1601.02513</loc><lastmod>2016-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-learn-a-graph-from-smooth-signals-1601.02513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-learn-a-graph-from-smooth-signals-1601.02513"/></url>
<url><loc>https://scifaro.com/en/abs/faster-asynchronous-sgd-1601.04033</loc><lastmod>2016-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-asynchronous-sgd-1601.04033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-asynchronous-sgd-1601.04033"/></url>
<url><loc>https://scifaro.com/en/abs/engineering-safety-in-machine-learning-1601.04126</loc><lastmod>2016-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/engineering-safety-in-machine-learning-1601.04126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/engineering-safety-in-machine-learning-1601.04126"/></url>
<url><loc>https://scifaro.com/en/abs/zero-error-dissimilarity-based-classifiers-1601.04451</loc><lastmod>2016-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-error-dissimilarity-based-classifiers-1601.04451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-error-dissimilarity-based-classifiers-1601.04451"/></url>
<url><loc>https://scifaro.com/en/abs/domain-based-classification-1601.04530</loc><lastmod>2018-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-based-classification-1601.04530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-based-classification-1601.04530"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-semiparametric-inverse-dynamics-learning-1601.04549</loc><lastmod>2021-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-semiparametric-inverse-dynamics-learning-1601.04549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-semiparametric-inverse-dynamics-learning-1601.04549"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-mechanics-of-high-dimensional-inference-1601.04650</loc><lastmod>2016-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-mechanics-of-high-dimensional-inference-1601.04650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-mechanics-of-high-dimensional-inference-1601.04650"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-individualizing-predictions-of-disease-trajectories-by-exploiting-multi-resolution-structure-1601.04674</loc><lastmod>2016-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-individualizing-predictions-of-disease-trajectories-by-exploiting-multi-resolution-structure-1601.04674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-individualizing-predictions-of-disease-trajectories-by-exploiting-multi-resolution-structure-1601.04674"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-deep-convolutional-networks-1601.04920</loc><lastmod>2016-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-deep-convolutional-networks-1601.04920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-deep-convolutional-networks-1601.04920"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-variable-selection-with-continuous-outcome-a-nonparametric-incremental-forward-stagewise-approach-1601.05285</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-variable-selection-with-continuous-outcome-a-nonparametric-incremental-forward-stagewise-approach-1601.05285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-variable-selection-with-continuous-outcome-a-nonparametric-incremental-forward-stagewise-approach-1601.05285"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-spectral-sparsification-for-large-scale-graph-based-semi-supervised-learning-1601.05675</loc><lastmod>2016-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-spectral-sparsification-for-large-scale-graph-based-semi-supervised-learning-1601.05675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-spectral-sparsification-for-large-scale-graph-based-semi-supervised-learning-1601.05675"/></url>
<url><loc>https://scifaro.com/en/abs/learning-minimum-volume-sets-and-anomaly-detectors-from-knn-graphs-1601.06105</loc><lastmod>2016-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-minimum-volume-sets-and-anomaly-detectors-from-knn-graphs-1601.06105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-minimum-volume-sets-and-anomaly-detectors-from-knn-graphs-1601.06105"/></url>
<url><loc>https://scifaro.com/en/abs/a-mathematical-formalization-of-hierarchical-temporal-memory-s-spatial-pooler-1601.06116</loc><lastmod>2016-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-mathematical-formalization-of-hierarchical-temporal-memory-s-spatial-pooler-1601.06116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-mathematical-formalization-of-hierarchical-temporal-memory-s-spatial-pooler-1601.06116"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-lower-bounds-for-linear-independence-testing-1601.06259</loc><lastmod>2016-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-lower-bounds-for-linear-independence-testing-1601.06259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-lower-bounds-for-linear-independence-testing-1601.06259"/></url>
<url><loc>https://scifaro.com/en/abs/time-varying-gaussian-process-bandit-optimization-1601.06650</loc><lastmod>2016-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-varying-gaussian-process-bandit-optimization-1601.06650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-varying-gaussian-process-bandit-optimization-1601.06650"/></url>
<url><loc>https://scifaro.com/en/abs/testing-for-causality-in-continuous-time-bayesian-network-models-of-high-frequency-data-1601.06651</loc><lastmod>2016-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-for-causality-in-continuous-time-bayesian-network-models-of-high-frequency-data-1601.06651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-for-causality-in-continuous-time-bayesian-network-models-of-high-frequency-data-1601.06651"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-distribution-variability-measures-for-causality-detection-1601.06680</loc><lastmod>2016-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-distribution-variability-measures-for-causality-detection-1601.06680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-distribution-variability-measures-for-causality-detection-1601.06680"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-drug-interactions-and-mutagenicity-with-ensemble-classifiers-on-subgraphs-of-molecules-1601.07233</loc><lastmod>2016-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-drug-interactions-and-mutagenicity-with-ensemble-classifiers-on-subgraphs-of-molecules-1601.07233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-drug-interactions-and-mutagenicity-with-ensemble-classifiers-on-subgraphs-of-molecules-1601.07233"/></url>
<url><loc>https://scifaro.com/en/abs/revealing-fundamental-physics-from-the-daya-bay-neutrino-experiment-using-deep-neural-networks-1601.07621</loc><lastmod>2017-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revealing-fundamental-physics-from-the-daya-bay-neutrino-experiment-using-deep-neural-networks-1601.07621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revealing-fundamental-physics-from-the-daya-bay-neutrino-experiment-using-deep-neural-networks-1601.07621"/></url>
<url><loc>https://scifaro.com/en/abs/non-gaussian-component-analysis-with-log-density-gradient-estimation-1601.07665</loc><lastmod>2016-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-gaussian-component-analysis-with-log-density-gradient-estimation-1601.07665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-gaussian-component-analysis-with-log-density-gradient-estimation-1601.07665"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-kernel-based-feature-extraction-via-budgeted-nonlinear-subspace-tracking-1601.07947</loc><lastmod>2017-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-kernel-based-feature-extraction-via-budgeted-nonlinear-subspace-tracking-1601.07947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-kernel-based-feature-extraction-via-budgeted-nonlinear-subspace-tracking-1601.07947"/></url>
<url><loc>https://scifaro.com/en/abs/system-identification-through-online-sparse-gaussian-process-regression-with-input-noise-1601.08068</loc><lastmod>2017-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/system-identification-through-online-sparse-gaussian-process-regression-with-input-noise-1601.08068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/system-identification-through-online-sparse-gaussian-process-regression-with-input-noise-1601.08068"/></url>
<url><loc>https://scifaro.com/en/abs/mapping-tractography-across-subjects-1601.08165</loc><lastmod>2016-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mapping-tractography-across-subjects-1601.08165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mapping-tractography-across-subjects-1601.08165"/></url>
<url><loc>https://scifaro.com/en/abs/kernels-for-sequentially-ordered-data-1601.08169</loc><lastmod>2016-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernels-for-sequentially-ordered-data-1601.08169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernels-for-sequentially-ordered-data-1601.08169"/></url>
<url><loc>https://scifaro.com/en/abs/scope-scalable-composite-optimization-for-learning-on-spark-1602.00133</loc><lastmod>2016-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scope-scalable-composite-optimization-for-learning-on-spark-1602.00133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scope-scalable-composite-optimization-for-learning-on-spark-1602.00133"/></url>
<url><loc>https://scifaro.com/en/abs/dimensionality-reduction-via-regression-in-hyperspectral-imagery-1602.00214</loc><lastmod>2016-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimensionality-reduction-via-regression-in-hyperspectral-imagery-1602.00214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimensionality-reduction-via-regression-in-hyperspectral-imagery-1602.00214"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-for-regression-problems-based-on-the-morisita-estimator-of-intrinsic-dimension-1602.00216</loc><lastmod>2017-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-for-regression-problems-based-on-the-morisita-estimator-of-intrinsic-dimension-1602.00216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-for-regression-problems-based-on-the-morisita-estimator-of-intrinsic-dimension-1602.00216"/></url>
<url><loc>https://scifaro.com/en/abs/principal-polynomial-analysis-1602.00221</loc><lastmod>2016-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principal-polynomial-analysis-1602.00221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principal-polynomial-analysis-1602.00221"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-gaussianization-from-ica-to-random-rotations-1602.00229</loc><lastmod>2016-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-gaussianization-from-ica-to-random-rotations-1602.00229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-gaussianization-from-ica-to-random-rotations-1602.00229"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinearities-and-adaptation-of-color-vision-from-sequential-principal-curves-analysis-1602.00236</loc><lastmod>2016-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinearities-and-adaptation-of-color-vision-from-sequential-principal-curves-analysis-1602.00236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinearities-and-adaptation-of-color-vision-from-sequential-principal-curves-analysis-1602.00236"/></url>
<url><loc>https://scifaro.com/en/abs/dolda-a-regularized-supervised-topic-model-for-high-dimensional-multi-class-regression-1602.00260</loc><lastmod>2016-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dolda-a-regularized-supervised-topic-model-for-high-dimensional-multi-class-regression-1602.00260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dolda-a-regularized-supervised-topic-model-for-high-dimensional-multi-class-regression-1602.00260"/></url>
<url><loc>https://scifaro.com/en/abs/additive-approximations-in-high-dimensional-nonparametric-regression-via-the-salsa-1602.00287</loc><lastmod>2016-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/additive-approximations-in-high-dimensional-nonparametric-regression-via-the-salsa-1602.00287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/additive-approximations-in-high-dimensional-nonparametric-regression-via-the-salsa-1602.00287"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-algorithms-for-graphical-model-selection-1602.00354</loc><lastmod>2016-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-algorithms-for-graphical-model-selection-1602.00354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-algorithms-for-graphical-model-selection-1602.00354"/></url>
<url><loc>https://scifaro.com/en/abs/deepcare-a-deep-dynamic-memory-model-for-predictive-medicine-1602.00357</loc><lastmod>2017-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepcare-a-deep-dynamic-memory-model-for-predictive-medicine-1602.00357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepcare-a-deep-dynamic-memory-model-for-predictive-medicine-1602.00357"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-k-means-1602.00360</loc><lastmod>2016-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-k-means-1602.00360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-k-means-1602.00360"/></url>
<url><loc>https://scifaro.com/en/abs/a-quasi-bayesian-perspective-to-online-clustering-1602.00522</loc><lastmod>2018-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-quasi-bayesian-perspective-to-online-clustering-1602.00522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-quasi-bayesian-perspective-to-online-clustering-1602.00522"/></url>
<url><loc>https://scifaro.com/en/abs/minimum-regret-search-for-single-and-multi-task-optimization-1602.01064</loc><lastmod>2016-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimum-regret-search-for-single-and-multi-task-optimization-1602.01064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimum-regret-search-for-single-and-multi-task-optimization-1602.01064"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-nystr-om-and-column-sampling-methods-for-the-approximate-principal-components-analysis-of-large-data-sets-1602.01120</loc><lastmod>2017-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-nystr-om-and-column-sampling-methods-for-the-approximate-principal-components-analysis-of-large-data-sets-1602.01120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-nystr-om-and-column-sampling-methods-for-the-approximate-principal-components-analysis-of-large-data-sets-1602.01120"/></url>
<url><loc>https://scifaro.com/en/abs/interactive-algorithms-from-pool-to-stream-1602.01132</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interactive-algorithms-from-pool-to-stream-1602.01132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interactive-algorithms-from-pool-to-stream-1602.01132"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-regularized-discriminant-analysis-1602.01182</loc><lastmod>2017-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-regularized-discriminant-analysis-1602.01182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-regularized-discriminant-analysis-1602.01182"/></url>
<url><loc>https://scifaro.com/en/abs/a-probabilistic-modeling-approach-to-hearing-loss-compensation-1602.01345</loc><lastmod>2016-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probabilistic-modeling-approach-to-hearing-loss-compensation-1602.01345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probabilistic-modeling-approach-to-hearing-loss-compensation-1602.01345"/></url>
<url><loc>https://scifaro.com/en/abs/a-kronecker-factored-approximate-fisher-matrix-for-convolution-layers-1602.01407</loc><lastmod>2016-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-kronecker-factored-approximate-fisher-matrix-for-convolution-layers-1602.01407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-kronecker-factored-approximate-fisher-matrix-for-convolution-layers-1602.01407"/></url>
<url><loc>https://scifaro.com/en/abs/correntropy-maximization-via-admm-application-to-robust-hyperspectral-unmixing-1602.01729</loc><lastmod>2017-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correntropy-maximization-via-admm-application-to-robust-hyperspectral-unmixing-1602.01729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correntropy-maximization-via-admm-application-to-robust-hyperspectral-unmixing-1602.01729"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-alternating-minimization-algorithm-for-the-matrix-completion-problem-1602.02164</loc><lastmod>2016-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-alternating-minimization-algorithm-for-the-matrix-completion-problem-1602.02164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-alternating-minimization-algorithm-for-the-matrix-completion-problem-1602.02164"/></url>
<url><loc>https://scifaro.com/en/abs/active-information-acquisition-1602.02181</loc><lastmod>2016-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-information-acquisition-1602.02181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-information-acquisition-1602.02181"/></url>
<url><loc>https://scifaro.com/en/abs/convex-relaxation-regression-black-box-optimization-of-smooth-functions-by-learning-their-convex-envelopes-1602.02191</loc><lastmod>2016-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-relaxation-regression-black-box-optimization-of-smooth-functions-by-learning-their-convex-envelopes-1602.02191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-relaxation-regression-black-box-optimization-of-smooth-functions-by-learning-their-convex-envelopes-1602.02191"/></url>
<url><loc>https://scifaro.com/en/abs/ladder-variational-autoencoders-1602.02282</loc><lastmod>2016-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ladder-variational-autoencoders-1602.02282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ladder-variational-autoencoders-1602.02282"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-approach-to-unsupervised-ensemble-learning-1602.02285</loc><lastmod>2017-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-approach-to-unsupervised-ensemble-learning-1602.02285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-approach-to-unsupervised-ensemble-learning-1602.02285"/></url>
<url><loc>https://scifaro.com/en/abs/r-enyi-divergence-variational-inference-1602.02311</loc><lastmod>2016-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/r-enyi-divergence-variational-inference-1602.02311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/r-enyi-divergence-variational-inference-1602.02311"/></url>
<url><loc>https://scifaro.com/en/abs/hyperparameter-optimization-with-approximate-gradient-1602.02355</loc><lastmod>2022-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperparameter-optimization-with-approximate-gradient-1602.02355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperparameter-optimization-with-approximate-gradient-1602.02355"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-and-semi-supervised-text-categorization-using-lstm-for-region-embeddings-1602.02373</loc><lastmod>2016-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-and-semi-supervised-text-categorization-using-lstm-for-region-embeddings-1602.02373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-and-semi-supervised-text-categorization-using-lstm-for-region-embeddings-1602.02373"/></url>
<url><loc>https://scifaro.com/en/abs/network-inference-by-learned-node-specific-degree-prior-1602.02386</loc><lastmod>2016-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-inference-by-learned-node-specific-degree-prior-1602.02386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-inference-by-learned-node-specific-degree-prior-1602.02386"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-practical-accelerated-method-for-finite-sums-1602.02442</loc><lastmod>2016-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-practical-accelerated-method-for-finite-sums-1602.02442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-practical-accelerated-method-for-finite-sums-1602.02442"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneous-safe-screening-of-features-and-samples-in-doubly-sparse-modeling-1602.02485</loc><lastmod>2016-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneous-safe-screening-of-features-and-samples-in-doubly-sparse-modeling-1602.02485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneous-safe-screening-of-features-and-samples-in-doubly-sparse-modeling-1602.02485"/></url>
<url><loc>https://scifaro.com/en/abs/the-sprekend-nederland-project-and-its-application-to-accent-location-1602.02499</loc><lastmod>2016-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-sprekend-nederland-project-and-its-application-to-accent-location-1602.02499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-sprekend-nederland-project-and-its-application-to-accent-location-1602.02499"/></url>
<url><loc>https://scifaro.com/en/abs/fast-k-means-with-accurate-bounds-1602.02514</loc><lastmod>2016-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-k-means-with-accurate-bounds-1602.02514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-k-means-with-accurate-bounds-1602.02514"/></url>
<url><loc>https://scifaro.com/en/abs/data-efficient-reinforcement-learning-in-continuous-state-pomdps-1602.02523</loc><lastmod>2016-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-efficient-reinforcement-learning-in-continuous-state-pomdps-1602.02523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-efficient-reinforcement-learning-in-continuous-state-pomdps-1602.02523"/></url>
<url><loc>https://scifaro.com/en/abs/a-variational-analysis-of-stochastic-gradient-algorithms-1602.02666</loc><lastmod>2017-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-variational-analysis-of-stochastic-gradient-algorithms-1602.02666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-variational-analysis-of-stochastic-gradient-algorithms-1602.02666"/></url>
<url><loc>https://scifaro.com/en/abs/compressed-online-dictionary-learning-for-fast-fmri-decomposition-1602.02701</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressed-online-dictionary-learning-for-fast-fmri-decomposition-1602.02701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressed-online-dictionary-learning-for-fast-fmri-decomposition-1602.02701"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-filtering-via-sparse-markov-random-fields-1602.02842</loc><lastmod>2016-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-filtering-via-sparse-markov-random-fields-1602.02842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-filtering-via-sparse-markov-random-fields-1602.02842"/></url>
<url><loc>https://scifaro.com/en/abs/online-active-linear-regression-via-thresholding-1602.02845</loc><lastmod>2016-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-active-linear-regression-via-thresholding-1602.02845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-active-linear-regression-via-thresholding-1602.02845"/></url>
<url><loc>https://scifaro.com/en/abs/toward-optimal-feature-selection-in-naive-bayes-for-text-categorization-1602.02850</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-optimal-feature-selection-in-naive-bayes-for-text-categorization-1602.02850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-optimal-feature-selection-in-naive-bayes-for-text-categorization-1602.02850"/></url>
<url><loc>https://scifaro.com/en/abs/compliance-aware-bandits-1602.02852</loc><lastmod>2016-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compliance-aware-bandits-1602.02852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compliance-aware-bandits-1602.02852"/></url>
<url><loc>https://scifaro.com/en/abs/nested-mini-batch-k-means-1602.02934</loc><lastmod>2016-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nested-mini-batch-k-means-1602.02934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nested-mini-batch-k-means-1602.02934"/></url>
<url><loc>https://scifaro.com/en/abs/a-kernel-test-of-goodness-of-fit-1602.02964</loc><lastmod>2016-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-kernel-test-of-goodness-of-fit-1602.02964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-kernel-test-of-goodness-of-fit-1602.02964"/></url>
<url><loc>https://scifaro.com/en/abs/herding-as-a-learning-system-with-edge-of-chaos-dynamics-1602.03014</loc><lastmod>2016-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/herding-as-a-learning-system-with-edge-of-chaos-dynamics-1602.03014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/herding-as-a-learning-system-with-edge-of-chaos-dynamics-1602.03014"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-lower-bounds-for-realizable-transductive-classification-1602.03027</loc><lastmod>2016-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-lower-bounds-for-realizable-transductive-classification-1602.03027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-lower-bounds-for-realizable-transductive-classification-1602.03027"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-nonparametric-image-segmentation-using-a-generalized-swendsen-wang-algorithm-1602.03048</loc><lastmod>2016-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-nonparametric-image-segmentation-using-a-generalized-swendsen-wang-algorithm-1602.03048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-nonparametric-image-segmentation-using-a-generalized-swendsen-wang-algorithm-1602.03048"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-regularization-for-generative-models-1602.03220</loc><lastmod>2016-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-regularization-for-generative-models-1602.03220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-regularization-for-generative-models-1602.03220"/></url>
<url><loc>https://scifaro.com/en/abs/a-kernelized-stein-discrepancy-for-goodness-of-fit-tests-and-model-evaluation-1602.03253</loc><lastmod>2016-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-kernelized-stein-discrepancy-for-goodness-of-fit-tests-and-model-evaluation-1602.03253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-kernelized-stein-discrepancy-for-goodness-of-fit-tests-and-model-evaluation-1602.03253"/></url>
<url><loc>https://scifaro.com/en/abs/a-theory-of-generative-convnet-1602.03264</loc><lastmod>2016-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theory-of-generative-convnet-1602.03264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theory-of-generative-convnet-1602.03264"/></url>
<url><loc>https://scifaro.com/en/abs/fast-model-selection-by-limiting-svm-training-times-1602.03368</loc><lastmod>2016-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-model-selection-by-limiting-svm-training-times-1602.03368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-model-selection-by-limiting-svm-training-times-1602.03368"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-quasi-newton-langevin-monte-carlo-1602.03442</loc><lastmod>2016-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-quasi-newton-langevin-monte-carlo-1602.03442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-quasi-newton-langevin-monte-carlo-1602.03442"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-transductive-domain-adaptation-1602.03534</loc><lastmod>2016-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-transductive-domain-adaptation-1602.03534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-transductive-domain-adaptation-1602.03534"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-online-decision-making-with-costly-information-acquisition-1602.03600</loc><lastmod>2017-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-online-decision-making-with-costly-information-acquisition-1602.03600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-online-decision-making-with-costly-information-acquisition-1602.03600"/></url>
<url><loc>https://scifaro.com/en/abs/online-low-rank-subspace-learning-from-incomplete-data-a-bayesian-view-1602.03670</loc><lastmod>2016-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-low-rank-subspace-learning-from-incomplete-data-a-bayesian-view-1602.03670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-low-rank-subspace-learning-from-incomplete-data-a-bayesian-view-1602.03670"/></url>
<url><loc>https://scifaro.com/en/abs/a-universal-approximation-theorem-for-mixture-of-experts-models-1602.03683</loc><lastmod>2016-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-universal-approximation-theorem-for-mixture-of-experts-models-1602.03683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-universal-approximation-theorem-for-mixture-of-experts-models-1602.03683"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-for-sparse-and-undirected-models-1602.03807</loc><lastmod>2017-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-for-sparse-and-undirected-models-1602.03807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-for-sparse-and-undirected-models-1602.03807"/></url>
<url><loc>https://scifaro.com/en/abs/second-order-stochastic-optimization-for-machine-learning-in-linear-time-1602.03943</loc><lastmod>2017-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/second-order-stochastic-optimization-for-machine-learning-in-linear-time-1602.03943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/second-order-stochastic-optimization-for-machine-learning-in-linear-time-1602.03943"/></url>
<url><loc>https://scifaro.com/en/abs/general-vector-machine-1602.03950</loc><lastmod>2016-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/general-vector-machine-1602.03950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/general-vector-machine-1602.03950"/></url>
<url><loc>https://scifaro.com/en/abs/orthogonal-sparse-pca-and-covariance-estimation-via-procrustes-reformulation-1602.03992</loc><lastmod>2016-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthogonal-sparse-pca-and-covariance-estimation-via-procrustes-reformulation-1602.03992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthogonal-sparse-pca-and-covariance-estimation-via-procrustes-reformulation-1602.03992"/></url>
<url><loc>https://scifaro.com/en/abs/deep-gaussian-processes-for-regression-using-approximate-expectation-propagation-1602.04133</loc><lastmod>2016-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-gaussian-processes-for-regression-using-approximate-expectation-propagation-1602.04133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-gaussian-processes-for-regression-using-approximate-expectation-propagation-1602.04133"/></url>
<url><loc>https://scifaro.com/en/abs/scale-free-network-optimization-foundations-and-algorithms-1602.04227</loc><lastmod>2017-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scale-free-network-optimization-foundations-and-algorithms-1602.04227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scale-free-network-optimization-foundations-and-algorithms-1602.04227"/></url>
<url><loc>https://scifaro.com/en/abs/lasso-guarantees-for-time-series-estimation-under-subgaussian-tails-and-beta-mixing-1602.04265</loc><lastmod>2018-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lasso-guarantees-for-time-series-estimation-under-subgaussian-tails-and-beta-mixing-1602.04265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lasso-guarantees-for-time-series-estimation-under-subgaussian-tails-and-beta-mixing-1602.04265"/></url>
<url><loc>https://scifaro.com/en/abs/conservative-bandits-1602.04282</loc><lastmod>2016-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conservative-bandits-1602.04282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conservative-bandits-1602.04282"/></url>
<url><loc>https://scifaro.com/en/abs/a-minimax-theory-for-adaptive-data-analysis-1602.04287</loc><lastmod>2016-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-minimax-theory-for-adaptive-data-analysis-1602.04287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-minimax-theory-for-adaptive-data-analysis-1602.04287"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-multi-slot-optimization-for-ranking-recommendations-1602.04391</loc><lastmod>2017-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-multi-slot-optimization-for-ranking-recommendations-1602.04391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-multi-slot-optimization-for-ranking-recommendations-1602.04391"/></url>
<url><loc>https://scifaro.com/en/abs/joint-dimensionality-reduction-for-two-feature-vectors-1602.04398</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-dimensionality-reduction-for-two-feature-vectors-1602.04398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-dimensionality-reduction-for-two-feature-vectors-1602.04398"/></url>
<url><loc>https://scifaro.com/en/abs/identifiability-assumptions-and-algorithm-for-directed-graphical-models-with-feedback-1602.04418</loc><lastmod>2016-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifiability-assumptions-and-algorithm-for-directed-graphical-models-with-feedback-1602.04418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifiability-assumptions-and-algorithm-for-directed-graphical-models-with-feedback-1602.04418"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-properties-of-learning-with-random-features-1602.04474</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-properties-of-learning-with-random-features-1602.04474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-properties-of-learning-with-random-features-1602.04474"/></url>
<url><loc>https://scifaro.com/en/abs/safe-pattern-pruning-an-efficient-approach-for-predictive-pattern-mining-1602.04548</loc><lastmod>2016-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-pattern-pruning-an-efficient-approach-for-predictive-pattern-mining-1602.04548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-pattern-pruning-an-efficient-approach-for-predictive-pattern-mining-1602.04548"/></url>
<url><loc>https://scifaro.com/en/abs/secure-approximation-guarantee-for-cryptographically-private-empirical-risk-minimization-1602.04579</loc><lastmod>2016-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/secure-approximation-guarantee-for-cryptographically-private-empirical-risk-minimization-1602.04579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/secure-approximation-guarantee-for-cryptographically-private-empirical-risk-minimization-1602.04579"/></url>
<url><loc>https://scifaro.com/en/abs/selective-inference-approach-for-statistically-sound-predictive-pattern-mining-1602.04601</loc><lastmod>2016-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selective-inference-approach-for-statistically-sound-predictive-pattern-mining-1602.04601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selective-inference-approach-for-statistically-sound-predictive-pattern-mining-1602.04601"/></url>
<url><loc>https://scifaro.com/en/abs/dr-abc-approximate-bayesian-computation-with-kernel-based-distribution-regression-1602.04805</loc><lastmod>2016-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dr-abc-approximate-bayesian-computation-with-kernel-based-distribution-regression-1602.04805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dr-abc-approximate-bayesian-computation-with-kernel-based-distribution-regression-1602.04805"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-converges-to-minimizers-1602.04915</loc><lastmod>2016-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-converges-to-minimizers-1602.04915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-converges-to-minimizers-1602.04915"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-process-bandits-upper-confidence-bounds-algorithms-via-generic-chaining-1602.04976</loc><lastmod>2016-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-process-bandits-upper-confidence-bounds-algorithms-via-generic-chaining-1602.04976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-process-bandits-upper-confidence-bounds-algorithms-via-generic-chaining-1602.04976"/></url>
<url><loc>https://scifaro.com/en/abs/the-multivariate-generalised-von-mises-distribution-inference-and-applications-1602.05003</loc><lastmod>2017-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-multivariate-generalised-von-mises-distribution-inference-and-applications-1602.05003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-multivariate-generalised-von-mises-distribution-inference-and-applications-1602.05003"/></url>
<url><loc>https://scifaro.com/en/abs/a-subsequence-interleaving-model-for-sequential-pattern-mining-1602.05012</loc><lastmod>2016-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-subsequence-interleaving-model-for-sequential-pattern-mining-1602.05012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-subsequence-interleaving-model-for-sequential-pattern-mining-1602.05012"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-bayesian-global-optimization-of-expensive-functions-1602.05149</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-bayesian-global-optimization-of-expensive-functions-1602.05149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-bayesian-global-optimization-of-expensive-functions-1602.05149"/></url>
<url><loc>https://scifaro.com/en/abs/patterns-of-scalable-bayesian-inference-1602.05221</loc><lastmod>2016-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/patterns-of-scalable-bayesian-inference-1602.05221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/patterns-of-scalable-bayesian-inference-1602.05221"/></url>
<url><loc>https://scifaro.com/en/abs/choice-by-elimination-via-deep-neural-networks-1602.05285</loc><lastmod>2016-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/choice-by-elimination-via-deep-neural-networks-1602.05285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/choice-by-elimination-via-deep-neural-networks-1602.05285"/></url>
<url><loc>https://scifaro.com/en/abs/online-optimization-and-regret-guarantees-for-non-additive-long-term-constraints-1602.05394</loc><lastmod>2016-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-optimization-and-regret-guarantees-for-non-additive-long-term-constraints-1602.05394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-optimization-and-regret-guarantees-for-non-additive-long-term-constraints-1602.05394"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-factorization-of-determinantal-point-processes-for-recommendation-1602.05436</loc><lastmod>2016-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-factorization-of-determinantal-point-processes-for-recommendation-1602.05436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-factorization-of-determinantal-point-processes-for-recommendation-1602.05436"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-reinforcement-learning-in-swarm-systems-1602.05450</loc><lastmod>2017-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-in-swarm-systems-1602.05450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-in-swarm-systems-1602.05450"/></url>
<url><loc>https://scifaro.com/en/abs/auxiliary-deep-generative-models-1602.05473</loc><lastmod>2016-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auxiliary-deep-generative-models-1602.05473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auxiliary-deep-generative-models-1602.05473"/></url>
<url><loc>https://scifaro.com/en/abs/robust-kernel-cross-covariance-operators-in-reproducing-kernel-hilbert-space-toward-kernel-methods-1602.05563</loc><lastmod>2016-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-kernel-cross-covariance-operators-in-reproducing-kernel-hilbert-space-toward-kernel-methods-1602.05563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-kernel-cross-covariance-operators-in-reproducing-kernel-hilbert-space-toward-kernel-methods-1602.05563"/></url>
<url><loc>https://scifaro.com/en/abs/what-is-the-distribution-of-the-number-of-unique-original-items-in-a-bootstrap-sample-1602.05822</loc><lastmod>2016-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-is-the-distribution-of-the-number-of-unique-original-items-in-a-bootstrap-sample-1602.05822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-is-the-distribution-of-the-number-of-unique-original-items-in-a-bootstrap-sample-1602.05822"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-rnn-an-enhanced-model-for-extracting-features-from-sequential-data-1602.05875</loc><lastmod>2017-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-rnn-an-enhanced-model-for-extracting-features-from-sequential-data-1602.05875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-rnn-an-enhanced-model-for-extracting-features-from-sequential-data-1602.05875"/></url>
<url><loc>https://scifaro.com/en/abs/structured-sparse-regression-via-greedy-hard-thresholding-1602.06042</loc><lastmod>2016-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-sparse-regression-via-greedy-hard-thresholding-1602.06042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-sparse-regression-via-greedy-hard-thresholding-1602.06042"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-up-dynamic-topic-models-1602.06049</loc><lastmod>2016-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-up-dynamic-topic-models-1602.06049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-up-dynamic-topic-models-1602.06049"/></url>
<url><loc>https://scifaro.com/en/abs/gap-safe-screening-rules-for-sparse-group-lasso-1602.06225</loc><lastmod>2016-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gap-safe-screening-rules-for-sparse-group-lasso-1602.06225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gap-safe-screening-rules-for-sparse-group-lasso-1602.06225"/></url>
<url><loc>https://scifaro.com/en/abs/a-mutual-contamination-analysis-of-mixed-membership-and-partial-label-models-1602.06235</loc><lastmod>2016-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-mutual-contamination-analysis-of-mixed-membership-and-partial-label-models-1602.06235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-mutual-contamination-analysis-of-mixed-membership-and-partial-label-models-1602.06235"/></url>
<url><loc>https://scifaro.com/en/abs/semi-parametric-order-based-generalized-multivariate-regression-1602.06276</loc><lastmod>2016-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-parametric-order-based-generalized-multivariate-regression-1602.06276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-parametric-order-based-generalized-multivariate-regression-1602.06276"/></url>
<url><loc>https://scifaro.com/en/abs/policy-error-bounds-for-model-based-reinforcement-learning-with-factored-linear-models-1602.06346</loc><lastmod>2016-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-error-bounds-for-model-based-reinforcement-learning-with-factored-linear-models-1602.06346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-error-bounds-for-model-based-reinforcement-learning-with-factored-linear-models-1602.06346"/></url>
<url><loc>https://scifaro.com/en/abs/the-segmented-ihmm-a-simple-efficient-hierarchical-infinite-hmm-1602.06349</loc><lastmod>2016-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-segmented-ihmm-a-simple-efficient-hierarchical-infinite-hmm-1602.06349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-segmented-ihmm-a-simple-efficient-hierarchical-infinite-hmm-1602.06349"/></url>
<url><loc>https://scifaro.com/en/abs/semidefinite-programs-for-exact-recovery-of-a-hidden-community-1602.06410</loc><lastmod>2016-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semidefinite-programs-for-exact-recovery-of-a-hidden-community-1602.06410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semidefinite-programs-for-exact-recovery-of-a-hidden-community-1602.06410"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-statistical-tests-for-mrna-and-protein-subcellular-spatial-patterning-against-complete-spatial-randomness-1602.06429</loc><lastmod>2016-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-statistical-tests-for-mrna-and-protein-subcellular-spatial-patterning-against-complete-spatial-randomness-1602.06429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-statistical-tests-for-mrna-and-protein-subcellular-spatial-patterning-against-complete-spatial-randomness-1602.06429"/></url>
<url><loc>https://scifaro.com/en/abs/burstiness-scale-a-highly-parsimonious-model-for-characterizing-random-series-of-events-1602.06431</loc><lastmod>2016-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/burstiness-scale-a-highly-parsimonious-model-for-characterizing-random-series-of-events-1602.06431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/burstiness-scale-a-highly-parsimonious-model-for-characterizing-random-series-of-events-1602.06431"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-learning-with-labeled-and-unlabeled-tasks-1602.06518</loc><lastmod>2017-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-learning-with-labeled-and-unlabeled-tasks-1602.06518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-learning-with-labeled-and-unlabeled-tasks-1602.06518"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-and-lifelong-learning-of-kernels-1602.06531</loc><lastmod>2016-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-and-lifelong-learning-of-kernels-1602.06531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-and-lifelong-learning-of-kernels-1602.06531"/></url>
<url><loc>https://scifaro.com/en/abs/2-bit-random-projections-nonlinear-estimators-and-approximate-near-neighbor-search-1602.06577</loc><lastmod>2016-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/2-bit-random-projections-nonlinear-estimators-and-approximate-near-neighbor-search-1602.06577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/2-bit-random-projections-nonlinear-estimators-and-approximate-near-neighbor-search-1602.06577"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-subgaussian-mixtures-by-semidefinite-programming-1602.06612</loc><lastmod>2016-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-subgaussian-mixtures-by-semidefinite-programming-1602.06612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-subgaussian-mixtures-by-semidefinite-programming-1602.06612"/></url>
<url><loc>https://scifaro.com/en/abs/preconditioning-kernel-matrices-1602.06693</loc><lastmod>2016-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preconditioning-kernel-matrices-1602.06693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preconditioning-kernel-matrices-1602.06693"/></url>
<url><loc>https://scifaro.com/en/abs/inference-networks-for-sequential-monte-carlo-in-graphical-models-1602.06701</loc><lastmod>2018-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-networks-for-sequential-monte-carlo-in-graphical-models-1602.06701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-networks-for-sequential-monte-carlo-in-graphical-models-1602.06701"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-with-a-reject-option-interactive-clustering-as-bayesian-prior-elicitation-1602.06886</loc><lastmod>2016-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-with-a-reject-option-interactive-clustering-as-bayesian-prior-elicitation-1602.06886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-with-a-reject-option-interactive-clustering-as-bayesian-prior-elicitation-1602.06886"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-linear-regression-via-generalized-orthogonal-least-squares-1602.06916</loc><lastmod>2016-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-linear-regression-via-generalized-orthogonal-least-squares-1602.06916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-linear-regression-via-generalized-orthogonal-least-squares-1602.06916"/></url>
<url><loc>https://scifaro.com/en/abs/recovering-the-number-of-clusters-in-data-sets-with-noise-features-using-feature-rescaling-factors-1602.06989</loc><lastmod>2016-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovering-the-number-of-clusters-in-data-sets-with-noise-features-using-feature-rescaling-factors-1602.06989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovering-the-number-of-clusters-in-data-sets-with-noise-features-using-feature-rescaling-factors-1602.06989"/></url>
<url><loc>https://scifaro.com/en/abs/auditing-black-box-models-for-indirect-influence-1602.07043</loc><lastmod>2016-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auditing-black-box-models-for-indirect-influence-1602.07043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auditing-black-box-models-for-indirect-influence-1602.07043"/></url>
<url><loc>https://scifaro.com/en/abs/an-improved-gap-dependency-analysis-of-the-noisy-power-method-1602.07046</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improved-gap-dependency-analysis-of-the-noisy-power-method-1602.07046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improved-gap-dependency-analysis-of-the-noisy-power-method-1602.07046"/></url>
<url><loc>https://scifaro.com/en/abs/a-streaming-algorithm-for-crowdsourced-data-classification-1602.07107</loc><lastmod>2016-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-streaming-algorithm-for-crowdsourced-data-classification-1602.07107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-streaming-algorithm-for-crowdsourced-data-classification-1602.07107"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-for-on-line-anomaly-detection-in-high-dimensional-time-series-1602.07109</loc><lastmod>2016-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-for-on-line-anomaly-detection-in-high-dimensional-time-series-1602.07109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-for-on-line-anomaly-detection-in-high-dimensional-time-series-1602.07109"/></url>
<url><loc>https://scifaro.com/en/abs/lens-depth-function-and-k-relative-neighborhood-graph-versatile-tools-for-ordinal-data-analysis-1602.07194</loc><lastmod>2017-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lens-depth-function-and-k-relative-neighborhood-graph-versatile-tools-for-ordinal-data-analysis-1602.07194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lens-depth-function-and-k-relative-neighborhood-graph-versatile-tools-for-ordinal-data-analysis-1602.07194"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-approach-to-sparse-clustering-1602.07277</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-approach-to-sparse-clustering-1602.07277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-approach-to-sparse-clustering-1602.07277"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-distribution-estimation-under-local-privacy-1602.07387</loc><lastmod>2016-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-distribution-estimation-under-local-privacy-1602.07387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-distribution-estimation-under-local-privacy-1602.07387"/></url>
<url><loc>https://scifaro.com/en/abs/a-compressed-sensing-based-decomposition-of-electrodermal-activity-signals-1602.07754</loc><lastmod>2017-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-compressed-sensing-based-decomposition-of-electrodermal-activity-signals-1602.07754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-compressed-sensing-based-decomposition-of-electrodermal-activity-signals-1602.07754"/></url>
<url><loc>https://scifaro.com/en/abs/towards-unifying-hamiltonian-monte-carlo-and-slice-sampling-1602.07800</loc><lastmod>2018-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-unifying-hamiltonian-monte-carlo-and-slice-sampling-1602.07800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-unifying-hamiltonian-monte-carlo-and-slice-sampling-1602.07800"/></url>
<url><loc>https://scifaro.com/en/abs/learning-gaussian-graphical-models-with-fractional-marginal-pseudo-likelihood-1602.07863</loc><lastmod>2017-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-gaussian-graphical-models-with-fractional-marginal-pseudo-likelihood-1602.07863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-gaussian-graphical-models-with-fractional-marginal-pseudo-likelihood-1602.07863"/></url>
<url><loc>https://scifaro.com/en/abs/projected-estimators-for-robust-semi-supervised-classification-1602.07865</loc><lastmod>2016-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projected-estimators-for-robust-semi-supervised-classification-1602.07865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projected-estimators-for-robust-semi-supervised-classification-1602.07865"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-and-sustainable-deep-learning-via-randomized-hashing-1602.08194</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-and-sustainable-deep-learning-via-randomized-hashing-1602.08194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-and-sustainable-deep-learning-via-randomized-hashing-1602.08194"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-hawkes-processes-for-large-scale-inference-1602.08418</loc><lastmod>2016-02-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-hawkes-processes-for-large-scale-inference-1602.08418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-hawkes-processes-for-large-scale-inference-1602.08418"/></url>
<url><loc>https://scifaro.com/en/abs/a-structured-variational-auto-encoder-for-learning-deep-hierarchies-of-sparse-features-1602.08734</loc><lastmod>2016-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-structured-variational-auto-encoder-for-learning-deep-hierarchies-of-sparse-features-1602.08734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-structured-variational-auto-encoder-for-learning-deep-hierarchies-of-sparse-features-1602.08734"/></url>
<url><loc>https://scifaro.com/en/abs/stability-and-structural-properties-of-gene-regulation-networks-with-coregulation-rules-1602.08753</loc><lastmod>2016-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-and-structural-properties-of-gene-regulation-networks-with-coregulation-rules-1602.08753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-and-structural-properties-of-gene-regulation-networks-with-coregulation-rules-1602.08753"/></url>
<url><loc>https://scifaro.com/en/abs/resource-constrained-structured-prediction-1602.08761</loc><lastmod>2016-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resource-constrained-structured-prediction-1602.08761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resource-constrained-structured-prediction-1602.08761"/></url>
<url><loc>https://scifaro.com/en/abs/does-quantification-without-adjustments-work-1602.08780</loc><lastmod>2016-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-quantification-without-adjustments-work-1602.08780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-quantification-without-adjustments-work-1602.08780"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-l-2-boosting-rate-of-convergence-1602.08927</loc><lastmod>2022-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-l-2-boosting-rate-of-convergence-1602.08927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-l-2-boosting-rate-of-convergence-1602.08927"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-cca-moment-matching-for-multi-view-models-1602.09013</loc><lastmod>2016-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-cca-moment-matching-for-multi-view-models-1602.09013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-cca-moment-matching-for-multi-view-models-1602.09013"/></url>
<url><loc>https://scifaro.com/en/abs/dual-smoothing-and-level-set-techniques-for-variational-matrix-decomposition-1603.00284</loc><lastmod>2016-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-smoothing-and-level-set-techniques-for-variational-matrix-decomposition-1603.00284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-smoothing-and-level-set-techniques-for-variational-matrix-decomposition-1603.00284"/></url>
<url><loc>https://scifaro.com/en/abs/multi-information-source-optimization-1603.00389</loc><lastmod>2016-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-information-source-optimization-1603.00389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-information-source-optimization-1603.00389"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-differentiation-variational-inference-1603.00788</loc><lastmod>2016-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-differentiation-variational-inference-1603.00788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-differentiation-variational-inference-1603.00788"/></url>
<url><loc>https://scifaro.com/en/abs/molecular-graph-convolutions-moving-beyond-fingerprints-1603.00856</loc><lastmod>2016-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/molecular-graph-convolutions-moving-beyond-fingerprints-1603.00856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/molecular-graph-convolutions-moving-beyond-fingerprints-1603.00856"/></url>
<url><loc>https://scifaro.com/en/abs/a-kernel-test-for-three-variable-interactions-with-random-processes-1603.00929</loc><lastmod>2016-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-kernel-test-for-three-variable-interactions-with-random-processes-1603.00929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-kernel-test-for-three-variable-interactions-with-random-processes-1603.00929"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-model-selection-in-the-highly-under-sampled-regime-1603.00952</loc><lastmod>2017-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-model-selection-in-the-highly-under-sampled-regime-1603.00952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-model-selection-in-the-highly-under-sampled-regime-1603.00952"/></url>
<url><loc>https://scifaro.com/en/abs/whitening-free-least-squares-non-gaussian-component-analysis-1603.01029</loc><lastmod>2017-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/whitening-free-least-squares-non-gaussian-component-analysis-1603.01029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/whitening-free-least-squares-non-gaussian-component-analysis-1603.01029"/></url>
<url><loc>https://scifaro.com/en/abs/overdispersed-black-box-variational-inference-1603.01140</loc><lastmod>2016-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overdispersed-black-box-variational-inference-1603.01140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overdispersed-black-box-variational-inference-1603.01140"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-representation-of-multityped-objects-and-tasks-1603.01359</loc><lastmod>2016-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-representation-of-multityped-objects-and-tasks-1603.01359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-representation-of-multityped-objects-and-tasks-1603.01359"/></url>
<url><loc>https://scifaro.com/en/abs/normalization-propagation-a-parametric-technique-for-removing-internal-covariate-shift-in-deep-networks-1603.01431</loc><lastmod>2016-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normalization-propagation-a-parametric-technique-for-removing-internal-covariate-shift-in-deep-networks-1603.01431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normalization-propagation-a-parametric-technique-for-removing-internal-covariate-shift-in-deep-networks-1603.01431"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-metrics-in-r-1603.01700</loc><lastmod>2017-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-metrics-in-r-1603.01700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-metrics-in-r-1603.01700"/></url>
<url><loc>https://scifaro.com/en/abs/classical-statistics-and-statistical-learning-in-imaging-neuroscience-1603.01857</loc><lastmod>2016-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classical-statistics-and-statistical-learning-in-imaging-neuroscience-1603.01857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classical-statistics-and-statistical-learning-in-imaging-neuroscience-1603.01857"/></url>
<url><loc>https://scifaro.com/en/abs/composing-inference-algorithms-as-program-transformations-1603.01882</loc><lastmod>2017-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/composing-inference-algorithms-as-program-transformations-1603.01882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/composing-inference-algorithms-as-program-transformations-1603.01882"/></url>
<url><loc>https://scifaro.com/en/abs/partition-functions-from-rao-blackwellized-tempered-sampling-1603.01912</loc><lastmod>2016-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partition-functions-from-rao-blackwellized-tempered-sampling-1603.01912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partition-functions-from-rao-blackwellized-tempered-sampling-1603.01912"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-learning-of-kernel-embeddings-1603.02160</loc><lastmod>2016-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-learning-of-kernel-embeddings-1603.02160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-learning-of-kernel-embeddings-1603.02160"/></url>
<url><loc>https://scifaro.com/en/abs/effective-mean-field-inference-method-for-nonnegative-boltzmann-machines-1603.02434</loc><lastmod>2016-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-mean-field-inference-method-for-nonnegative-boltzmann-machines-1603.02434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-mean-field-inference-method-for-nonnegative-boltzmann-machines-1603.02434"/></url>
<url><loc>https://scifaro.com/en/abs/note-on-the-equivalence-of-hierarchical-variational-models-and-auxiliary-deep-generative-models-1603.02443</loc><lastmod>2016-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/note-on-the-equivalence-of-hierarchical-variational-models-and-auxiliary-deep-generative-models-1603.02443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/note-on-the-equivalence-of-hierarchical-variational-models-and-auxiliary-deep-generative-models-1603.02443"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-models-for-robust-image-classification-1603.02736</loc><lastmod>2016-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-models-for-robust-image-classification-1603.02736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-models-for-robust-image-classification-1603.02736"/></url>
<url><loc>https://scifaro.com/en/abs/pairwise-choice-markov-chains-1603.02740</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pairwise-choice-markov-chains-1603.02740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pairwise-choice-markov-chains-1603.02740"/></url>
<url><loc>https://scifaro.com/en/abs/computing-aic-for-black-box-models-using-generalised-degrees-of-freedom-a-comparison-with-cross-validation-1603.02743</loc><lastmod>2016-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-aic-for-black-box-models-using-generalised-degrees-of-freedom-a-comparison-with-cross-validation-1603.02743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-aic-for-black-box-models-using-generalised-degrees-of-freedom-a-comparison-with-cross-validation-1603.02743"/></url>
<url><loc>https://scifaro.com/en/abs/optimized-kernel-entropy-components-1603.02806</loc><lastmod>2016-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimized-kernel-entropy-components-1603.02806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimized-kernel-entropy-components-1603.02806"/></url>
<url><loc>https://scifaro.com/en/abs/frequency-estimation-in-three-phase-power-systems-with-harmonic-contamination-a-multistage-quaternion-kalman-filtering-approach-1603.02977</loc><lastmod>2016-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frequency-estimation-in-three-phase-power-systems-with-harmonic-contamination-a-multistage-quaternion-kalman-filtering-approach-1603.02977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frequency-estimation-in-three-phase-power-systems-with-harmonic-contamination-a-multistage-quaternion-kalman-filtering-approach-1603.02977"/></url>
<url><loc>https://scifaro.com/en/abs/global-and-local-uncertainty-principles-for-signals-on-graphs-1603.03030</loc><lastmod>2016-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-and-local-uncertainty-principles-for-signals-on-graphs-1603.03030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-and-local-uncertainty-principles-for-signals-on-graphs-1603.03030"/></url>
<url><loc>https://scifaro.com/en/abs/blind-source-separation-fundamentals-and-recent-advances-a-tutorial-overview-presented-at-sbrt-2001-1603.03089</loc><lastmod>2016-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blind-source-separation-fundamentals-and-recent-advances-a-tutorial-overview-presented-at-sbrt-2001-1603.03089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blind-source-separation-fundamentals-and-recent-advances-a-tutorial-overview-presented-at-sbrt-2001-1603.03089"/></url>
<url><loc>https://scifaro.com/en/abs/square-root-graphical-models-multivariate-generalizations-of-univariate-exponential-families-that-permit-positive-dependencies-1603.03629</loc><lastmod>2016-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/square-root-graphical-models-multivariate-generalizations-of-univariate-exponential-families-that-permit-positive-dependencies-1603.03629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/square-root-graphical-models-multivariate-generalizations-of-univariate-exponential-families-that-permit-positive-dependencies-1603.03629"/></url>
<url><loc>https://scifaro.com/en/abs/nonstationary-distance-metric-learning-1603.03678</loc><lastmod>2016-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonstationary-distance-metric-learning-1603.03678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonstationary-distance-metric-learning-1603.03678"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-clustering-of-correlated-variables-and-variable-selection-in-high-dimensional-linear-models-1603.03724</loc><lastmod>2016-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-clustering-of-correlated-variables-and-variable-selection-in-high-dimensional-linear-models-1603.03724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-clustering-of-correlated-variables-and-variable-selection-in-high-dimensional-linear-models-1603.03724"/></url>
<url><loc>https://scifaro.com/en/abs/a-primer-on-the-signature-method-in-machine-learning-1603.03788</loc><lastmod>2025-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-primer-on-the-signature-method-in-machine-learning-1603.03788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-primer-on-the-signature-method-in-machine-learning-1603.03788"/></url>
<url><loc>https://scifaro.com/en/abs/median-truncated-nonconvex-approach-for-phase-retrieval-with-outliers-1603.03805</loc><lastmod>2017-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/median-truncated-nonconvex-approach-for-phase-retrieval-with-outliers-1603.03805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/median-truncated-nonconvex-approach-for-phase-retrieval-with-outliers-1603.03805"/></url>
<url><loc>https://scifaro.com/en/abs/laplacian-eigenmaps-from-sparse-noisy-similarity-measurements-1603.03972</loc><lastmod>2017-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/laplacian-eigenmaps-from-sparse-noisy-similarity-measurements-1603.03972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/laplacian-eigenmaps-from-sparse-noisy-similarity-measurements-1603.03972"/></url>
<url><loc>https://scifaro.com/en/abs/on-learning-high-dimensional-structured-single-index-models-1603.03980</loc><lastmod>2016-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-learning-high-dimensional-structured-single-index-models-1603.03980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-learning-high-dimensional-structured-single-index-models-1603.03980"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-financial-time-series-how-long-is-enough-1603.04017</loc><lastmod>2016-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-financial-time-series-how-long-is-enough-1603.04017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-financial-time-series-how-long-is-enough-1603.04017"/></url>
<url><loc>https://scifaro.com/en/abs/active-algorithms-for-preference-learning-problems-with-multiple-populations-1603.04118</loc><lastmod>2016-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-algorithms-for-preference-learning-problems-with-multiple-populations-1603.04118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-algorithms-for-preference-learning-problems-with-multiple-populations-1603.04118"/></url>
<url><loc>https://scifaro.com/en/abs/a-ranking-approach-to-global-optimization-1603.04381</loc><lastmod>2017-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-ranking-approach-to-global-optimization-1603.04381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-ranking-approach-to-global-optimization-1603.04381"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-and-estimation-of-discrete-time-reciprocal-processes-via-probabilistic-graphical-models-1603.04419</loc><lastmod>2016-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-and-estimation-of-discrete-time-reciprocal-processes-via-probabilistic-graphical-models-1603.04419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-and-estimation-of-discrete-time-reciprocal-processes-via-probabilistic-graphical-models-1603.04419"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-exact-recovery-of-sparse-signals-via-conic-relaxations-1603.04572</loc><lastmod>2016-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-exact-recovery-of-sparse-signals-via-conic-relaxations-1603.04572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-exact-recovery-of-sparse-signals-via-conic-relaxations-1603.04572"/></url>
<url><loc>https://scifaro.com/en/abs/structured-and-efficient-variational-deep-learning-with-matrix-gaussian-posteriors-1603.04733</loc><lastmod>2016-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-and-efficient-variational-deep-learning-with-matrix-gaussian-posteriors-1603.04733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-and-efficient-variational-deep-learning-with-matrix-gaussian-posteriors-1603.04733"/></url>
<url><loc>https://scifaro.com/en/abs/bias-correction-for-regularized-regression-and-its-application-in-learning-with-streaming-data-1603.04882</loc><lastmod>2016-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bias-correction-for-regularized-regression-and-its-application-in-learning-with-streaming-data-1603.04882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bias-correction-for-regularized-regression-and-its-application-in-learning-with-streaming-data-1603.04882"/></url>
<url><loc>https://scifaro.com/en/abs/turing-learning-a-metric-free-approach-to-inferring-behavior-and-its-application-to-swarms-1603.04904</loc><lastmod>2016-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/turing-learning-a-metric-free-approach-to-inferring-behavior-and-its-application-to-swarms-1603.04904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/turing-learning-a-metric-free-approach-to-inferring-behavior-and-its-application-to-swarms-1603.04904"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-time-series-prediction-using-hilbert-space-embeddings-of-autoregressive-processes-1603.05060</loc><lastmod>2016-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-time-series-prediction-using-hilbert-space-embeddings-of-autoregressive-processes-1603.05060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-time-series-prediction-using-hilbert-space-embeddings-of-autoregressive-processes-1603.05060"/></url>
<url><loc>https://scifaro.com/en/abs/one-shot-generalization-in-deep-generative-models-1603.05106</loc><lastmod>2016-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-shot-generalization-in-deep-generative-models-1603.05106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-shot-generalization-in-deep-generative-models-1603.05106"/></url>
<url><loc>https://scifaro.com/en/abs/do-deep-convolutional-nets-really-need-to-be-deep-and-convolutional-1603.05691</loc><lastmod>2017-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-deep-convolutional-nets-really-need-to-be-deep-and-convolutional-1603.05691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-deep-convolutional-nets-really-need-to-be-deep-and-convolutional-1603.05691"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-contrastive-divergence-algorithm-in-exponential-family-1603.05729</loc><lastmod>2018-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-contrastive-divergence-algorithm-in-exponential-family-1603.05729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-contrastive-divergence-algorithm-in-exponential-family-1603.05729"/></url>
<url><loc>https://scifaro.com/en/abs/a-probabilistic-machine-learning-approach-to-detect-industrial-plant-faults-1603.05770</loc><lastmod>2016-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probabilistic-machine-learning-approach-to-detect-industrial-plant-faults-1603.05770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probabilistic-machine-learning-approach-to-detect-industrial-plant-faults-1603.05770"/></url>
<url><loc>https://scifaro.com/en/abs/the-multiscale-laplacian-graph-kernel-1603.06186</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-multiscale-laplacian-graph-kernel-1603.06186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-multiscale-laplacian-graph-kernel-1603.06186"/></url>
<url><loc>https://scifaro.com/en/abs/composing-graphical-models-with-neural-networks-for-structured-representations-and-fast-inference-1603.06277</loc><lastmod>2017-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/composing-graphical-models-with-neural-networks-for-structured-representations-and-fast-inference-1603.06277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/composing-graphical-models-with-neural-networks-for-structured-representations-and-fast-inference-1603.06277"/></url>
<url><loc>https://scifaro.com/en/abs/multi-fidelity-gaussian-process-bandit-optimisation-1603.06288</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-fidelity-gaussian-process-bandit-optimisation-1603.06288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-fidelity-gaussian-process-bandit-optimisation-1603.06288"/></url>
<url><loc>https://scifaro.com/en/abs/data-augmentation-via-levy-processes-1603.06340</loc><lastmod>2016-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-augmentation-via-levy-processes-1603.06340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-augmentation-via-levy-processes-1603.06340"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-study-of-nonlinear-kernels-1603.06541</loc><lastmod>2016-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-study-of-nonlinear-kernels-1603.06541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-study-of-nonlinear-kernels-1603.06541"/></url>
<url><loc>https://scifaro.com/en/abs/localized-lasso-for-high-dimensional-regression-1603.06743</loc><lastmod>2016-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/localized-lasso-for-high-dimensional-regression-1603.06743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/localized-lasso-for-high-dimensional-regression-1603.06743"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-class-of-metrics-for-learning-on-real-valued-and-structured-data-1603.06846</loc><lastmod>2018-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-class-of-metrics-for-learning-on-real-valued-and-structured-data-1603.06846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-class-of-metrics-for-learning-on-real-valued-and-structured-data-1603.06846"/></url>
<url><loc>https://scifaro.com/en/abs/trading-off-variance-and-complexity-in-stochastic-gradient-descent-1603.06861</loc><lastmod>2016-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trading-off-variance-and-complexity-in-stochastic-gradient-descent-1603.06861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trading-off-variance-and-complexity-in-stochastic-gradient-descent-1603.06861"/></url>
<url><loc>https://scifaro.com/en/abs/completely-random-measures-for-modeling-power-laws-in-sparse-graphs-1603.06915</loc><lastmod>2016-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/completely-random-measures-for-modeling-power-laws-in-sparse-graphs-1603.06915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/completely-random-measures-for-modeling-power-laws-in-sparse-graphs-1603.06915"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-glaucoma-visual-field-loss-by-hierarchically-aggregating-clustering-based-predictors-1603.07094</loc><lastmod>2016-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-glaucoma-visual-field-loss-by-hierarchically-aggregating-clustering-based-predictors-1603.07094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-glaucoma-visual-field-loss-by-hierarchically-aggregating-clustering-based-predictors-1603.07094"/></url>
<url><loc>https://scifaro.com/en/abs/a-guide-to-convolution-arithmetic-for-deep-learning-1603.07285</loc><lastmod>2018-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-guide-to-convolution-arithmetic-for-deep-learning-1603.07285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-guide-to-convolution-arithmetic-for-deep-learning-1603.07285"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-litigation-likelihood-and-time-to-litigation-for-patents-1603.07394</loc><lastmod>2016-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-litigation-likelihood-and-time-to-litigation-for-patents-1603.07394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-litigation-likelihood-and-time-to-litigation-for-patents-1603.07394"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-the-performance-of-offensive-linemen-in-the-nfl-1603.07593</loc><lastmod>2016-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-the-performance-of-offensive-linemen-in-the-nfl-1603.07593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-the-performance-of-offensive-linemen-in-the-nfl-1603.07593"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-time-series-energy-data-from-smart-meters-1603.07602</loc><lastmod>2016-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-time-series-energy-data-from-smart-meters-1603.07602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-time-series-energy-data-from-smart-meters-1603.07602"/></url>
<url><loc>https://scifaro.com/en/abs/skill-based-differences-in-spatio-temporal-team-behavior-in-defence-of-the-ancients-2-1603.07738</loc><lastmod>2016-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/skill-based-differences-in-spatio-temporal-team-behavior-in-defence-of-the-ancients-2-1603.07738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/skill-based-differences-in-spatio-temporal-team-behavior-in-defence-of-the-ancients-2-1603.07738"/></url>
<url><loc>https://scifaro.com/en/abs/pathway-lasso-estimate-and-select-sparse-mediation-pathways-with-high-dimensional-mediators-1603.07749</loc><lastmod>2016-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pathway-lasso-estimate-and-select-sparse-mediation-pathways-with-high-dimensional-mediators-1603.07749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pathway-lasso-estimate-and-select-sparse-mediation-pathways-with-high-dimensional-mediators-1603.07749"/></url>
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<url><loc>https://scifaro.com/en/abs/exact-bayesian-inference-for-off-line-change-point-detection-in-tree-structured-graphical-models-1603.07871</loc><lastmod>2016-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-bayesian-inference-for-off-line-change-point-detection-in-tree-structured-graphical-models-1603.07871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-bayesian-inference-for-off-line-change-point-detection-in-tree-structured-graphical-models-1603.07871"/></url>
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<url><loc>https://scifaro.com/en/abs/data-driven-dynamic-decision-models-1603.08150</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-dynamic-decision-models-1603.08150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-dynamic-decision-models-1603.08150"/></url>
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<url><loc>https://scifaro.com/en/abs/estimating-mixture-models-via-mixtures-of-polynomials-1603.08482</loc><lastmod>2016-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-mixture-models-via-mixtures-of-polynomials-1603.08482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-mixture-models-via-mixtures-of-polynomials-1603.08482"/></url>
<url><loc>https://scifaro.com/en/abs/interpretability-of-multivariate-brain-maps-in-brain-decoding-definition-and-quantification-1603.08704</loc><lastmod>2016-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretability-of-multivariate-brain-maps-in-brain-decoding-definition-and-quantification-1603.08704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretability-of-multivariate-brain-maps-in-brain-decoding-definition-and-quantification-1603.08704"/></url>
<url><loc>https://scifaro.com/en/abs/unified-view-of-matrix-completion-under-general-structural-constraints-1603.08708</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unified-view-of-matrix-completion-under-general-structural-constraints-1603.08708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unified-view-of-matrix-completion-under-general-structural-constraints-1603.08708"/></url>
<url><loc>https://scifaro.com/en/abs/performance-of-a-community-detection-algorithm-based-on-semidefinite-programming-1603.09045</loc><lastmod>2016-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-of-a-community-detection-algorithm-based-on-semidefinite-programming-1603.09045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-of-a-community-detection-algorithm-based-on-semidefinite-programming-1603.09045"/></url>
<url><loc>https://scifaro.com/en/abs/a-latent-observed-dissimilarity-measure-1603.09254</loc><lastmod>2016-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-latent-observed-dissimilarity-measure-1603.09254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-latent-observed-dissimilarity-measure-1603.09254"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-geometry-of-message-passing-algorithms-for-gaussian-reciprocal-processes-1603.09279</loc><lastmod>2018-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-geometry-of-message-passing-algorithms-for-gaussian-reciprocal-processes-1603.09279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-geometry-of-message-passing-algorithms-for-gaussian-reciprocal-processes-1603.09279"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-representation-of-multivariate-extremes-with-applications-to-anomaly-ranking-1603.09584</loc><lastmod>2016-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-representation-of-multivariate-extremes-with-applications-to-anomaly-ranking-1603.09584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-representation-of-multivariate-extremes-with-applications-to-anomaly-ranking-1603.09584"/></url>
<url><loc>https://scifaro.com/en/abs/a-sequential-monte-carlo-approach-to-thompson-sampling-for-bayesian-optimization-1604.00169</loc><lastmod>2017-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sequential-monte-carlo-approach-to-thompson-sampling-for-bayesian-optimization-1604.00169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sequential-monte-carlo-approach-to-thompson-sampling-for-bayesian-optimization-1604.00169"/></url>
<url><loc>https://scifaro.com/en/abs/multi-relational-learning-at-scale-with-admm-1604.00647</loc><lastmod>2016-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-relational-learning-at-scale-with-admm-1604.00647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-relational-learning-at-scale-with-admm-1604.00647"/></url>
<url><loc>https://scifaro.com/en/abs/a-dynamic-bayesian-network-model-for-inventory-level-estimation-in-retail-marketing-1604.01075</loc><lastmod>2016-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dynamic-bayesian-network-model-for-inventory-level-estimation-in-retail-marketing-1604.01075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dynamic-bayesian-network-model-for-inventory-level-estimation-in-retail-marketing-1604.01075"/></url>
<url><loc>https://scifaro.com/en/abs/fast-methods-for-training-gaussian-processes-on-large-data-sets-1604.01250</loc><lastmod>2016-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-methods-for-training-gaussian-processes-on-large-data-sets-1604.01250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-methods-for-training-gaussian-processes-on-large-data-sets-1604.01250"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-with-exponential-convergence-1604.01348</loc><lastmod>2016-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-with-exponential-convergence-1604.01348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-with-exponential-convergence-1604.01348"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-detection-of-geometric-structures-over-networks-1604.01351</loc><lastmod>2017-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-detection-of-geometric-structures-over-networks-1604.01351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-detection-of-geometric-structures-over-networks-1604.01351"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-unwrapping-using-density-ridges-1604.01602</loc><lastmod>2016-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-unwrapping-using-density-ridges-1604.01602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-unwrapping-using-density-ridges-1604.01602"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-bayesian-deep-learning-1604.01662</loc><lastmod>2021-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-bayesian-deep-learning-1604.01662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-bayesian-deep-learning-1604.01662"/></url>
<url><loc>https://scifaro.com/en/abs/a-u-statistic-approach-to-hypothesis-testing-for-structure-discovery-in-undirected-graphical-models-1604.01733</loc><lastmod>2016-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-u-statistic-approach-to-hypothesis-testing-for-structure-discovery-in-undirected-graphical-models-1604.01733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-u-statistic-approach-to-hypothesis-testing-for-structure-discovery-in-undirected-graphical-models-1604.01733"/></url>
<url><loc>https://scifaro.com/en/abs/building-ensembles-of-adaptive-nested-dichotomies-with-random-pair-selection-1604.01854</loc><lastmod>2016-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-ensembles-of-adaptive-nested-dichotomies-with-random-pair-selection-1604.01854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-ensembles-of-adaptive-nested-dichotomies-with-random-pair-selection-1604.01854"/></url>
<url><loc>https://scifaro.com/en/abs/monitoring-chinese-population-migration-in-consecutive-weekly-basis-from-intra-city-scale-to-inter-province-scale-by-didi-s-bigdata-1604.01955</loc><lastmod>2016-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monitoring-chinese-population-migration-in-consecutive-weekly-basis-from-intra-city-scale-to-inter-province-scale-by-didi-s-bigdata-1604.01955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monitoring-chinese-population-migration-in-consecutive-weekly-basis-from-intra-city-scale-to-inter-province-scale-by-didi-s-bigdata-1604.01955"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-resample-move-algorithm-for-estimating-normalizing-constants-1604.01972</loc><lastmod>2016-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-resample-move-algorithm-for-estimating-normalizing-constants-1604.01972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-resample-move-algorithm-for-estimating-normalizing-constants-1604.01972"/></url>
<url><loc>https://scifaro.com/en/abs/hankel-matrix-nuclear-norm-regularized-tensor-completion-for-n-dimensional-exponential-signals-1604.02100</loc><lastmod>2020-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hankel-matrix-nuclear-norm-regularized-tensor-completion-for-n-dimensional-exponential-signals-1604.02100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hankel-matrix-nuclear-norm-regularized-tensor-completion-for-n-dimensional-exponential-signals-1604.02100"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-weighted-support-vector-machine-for-classification-on-healthcare-data-with-missing-values-1604.02123</loc><lastmod>2016-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-weighted-support-vector-machine-for-classification-on-healthcare-data-with-missing-values-1604.02123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-weighted-support-vector-machine-for-classification-on-healthcare-data-with-missing-values-1604.02123"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-for-sparse-non-negative-least-squares-using-multiplicative-updates-and-the-non-negative-matrix-factorization-problem-1604.02181</loc><lastmod>2018-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-for-sparse-non-negative-least-squares-using-multiplicative-updates-and-the-non-negative-matrix-factorization-problem-1604.02181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-for-sparse-non-negative-least-squares-using-multiplicative-updates-and-the-non-negative-matrix-factorization-problem-1604.02181"/></url>
<url><loc>https://scifaro.com/en/abs/online-nonnegative-matrix-factorization-with-outliers-1604.02634</loc><lastmod>2016-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-nonnegative-matrix-factorization-with-outliers-1604.02634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-nonnegative-matrix-factorization-with-outliers-1604.02634"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-online-recognition-of-human-activities-from-streaming-videos-1604.02855</loc><lastmod>2016-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-online-recognition-of-human-activities-from-streaming-videos-1604.02855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-online-recognition-of-human-activities-from-streaming-videos-1604.02855"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-domain-experts-for-model-adaptation-in-facial-behavior-analysis-1604.02917</loc><lastmod>2016-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-domain-experts-for-model-adaptation-in-facial-behavior-analysis-1604.02917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-domain-experts-for-model-adaptation-in-facial-behavior-analysis-1604.02917"/></url>
<url><loc>https://scifaro.com/en/abs/variational-latent-gaussian-process-for-recovering-single-trial-dynamics-from-population-spike-trains-1604.03053</loc><lastmod>2017-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-latent-gaussian-process-for-recovering-single-trial-dynamics-from-population-spike-trains-1604.03053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-latent-gaussian-process-for-recovering-single-trial-dynamics-from-population-spike-trains-1604.03053"/></url>
<url><loc>https://scifaro.com/en/abs/confidence-decision-trees-via-online-and-active-learning-for-streaming-big-data-1604.03278</loc><lastmod>2016-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidence-decision-trees-via-online-and-active-learning-for-streaming-big-data-1604.03278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidence-decision-trees-via-online-and-active-learning-for-streaming-big-data-1604.03278"/></url>
<url><loc>https://scifaro.com/en/abs/a-convex-surrogate-operator-for-general-non-modular-loss-functions-1604.03373</loc><lastmod>2016-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convex-surrogate-operator-for-general-non-modular-loss-functions-1604.03373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convex-surrogate-operator-for-general-non-modular-loss-functions-1604.03373"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-learning-strategy-for-closed-loop-control-of-fluid-flows-1604.03392</loc><lastmod>2016-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-learning-strategy-for-closed-loop-control-of-fluid-flows-1604.03392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-learning-strategy-for-closed-loop-control-of-fluid-flows-1604.03392"/></url>
<url><loc>https://scifaro.com/en/abs/the-matrix-generalized-inverse-gaussian-distribution-properties-and-applications-1604.03463</loc><lastmod>2016-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-matrix-generalized-inverse-gaussian-distribution-properties-and-applications-1604.03463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-matrix-generalized-inverse-gaussian-distribution-properties-and-applications-1604.03463"/></url>
<url><loc>https://scifaro.com/en/abs/structured-matrix-recovery-via-the-generalized-dantzig-selector-1604.03492</loc><lastmod>2016-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-matrix-recovery-via-the-generalized-dantzig-selector-1604.03492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-matrix-recovery-via-the-generalized-dantzig-selector-1604.03492"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-rates-for-regularization-of-statistical-inverse-learning-problems-1604.04054</loc><lastmod>2016-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-rates-for-regularization-of-statistical-inverse-learning-problems-1604.04054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-rates-for-regularization-of-statistical-inverse-learning-problems-1604.04054"/></url>
<url><loc>https://scifaro.com/en/abs/1-bit-matrix-completion-pac-bayesian-analysis-of-a-variational-approximation-1604.04191</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/1-bit-matrix-completion-pac-bayesian-analysis-of-a-variational-approximation-1604.04191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/1-bit-matrix-completion-pac-bayesian-analysis-of-a-variational-approximation-1604.04191"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-parameters-of-nonlinear-systems-using-the-elitist-particle-filter-based-on-evolutionary-strategies-1604.04198</loc><lastmod>2016-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-parameters-of-nonlinear-systems-using-the-elitist-particle-filter-based-on-evolutionary-strategies-1604.04198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-parameters-of-nonlinear-systems-using-the-elitist-particle-filter-based-on-evolutionary-strategies-1604.04198"/></url>
<url><loc>https://scifaro.com/en/abs/a-short-note-on-extension-theorems-and-their-connection-to-universal-consistency-in-machine-learning-1604.04505</loc><lastmod>2016-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-short-note-on-extension-theorems-and-their-connection-to-universal-consistency-in-machine-learning-1604.04505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-short-note-on-extension-theorems-and-their-connection-to-universal-consistency-in-machine-learning-1604.04505"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-low-rank-density-matrices-bounds-in-schatten-norms-and-other-distances-1604.04600</loc><lastmod>2016-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-low-rank-density-matrices-bounds-in-schatten-norms-and-other-distances-1604.04600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-low-rank-density-matrices-bounds-in-schatten-norms-and-other-distances-1604.04600"/></url>
<url><loc>https://scifaro.com/en/abs/smoothed-hierarchical-dirichlet-process-a-non-parametric-approach-to-constraint-measures-1604.04741</loc><lastmod>2016-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smoothed-hierarchical-dirichlet-process-a-non-parametric-approach-to-constraint-measures-1604.04741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smoothed-hierarchical-dirichlet-process-a-non-parametric-approach-to-constraint-measures-1604.04741"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-learning-as-a-nonparametric-nonlinear-inter-battery-factor-analysis-1604.04939</loc><lastmod>2016-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-learning-as-a-nonparametric-nonlinear-inter-battery-factor-analysis-1604.04939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-learning-as-a-nonparametric-nonlinear-inter-battery-factor-analysis-1604.04939"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-global-optimality-for-dictionary-learning-1604.04942</loc><lastmod>2017-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-global-optimality-for-dictionary-learning-1604.04942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-global-optimality-for-dictionary-learning-1604.04942"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-copula-variational-autoencoders-for-mixed-data-1604.04960</loc><lastmod>2016-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-copula-variational-autoencoders-for-mixed-data-1604.04960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-copula-variational-autoencoders-for-mixed-data-1604.04960"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-distribution-embeddings-universal-kernels-characteristic-kernels-and-kernel-metrics-on-distributions-1604.05251</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-distribution-embeddings-universal-kernels-characteristic-kernels-and-kernel-metrics-on-distributions-1604.05251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-distribution-embeddings-universal-kernels-characteristic-kernels-and-kernel-metrics-on-distributions-1604.05251"/></url>
<url><loc>https://scifaro.com/en/abs/chained-gaussian-processes-1604.05263</loc><lastmod>2016-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chained-gaussian-processes-1604.05263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chained-gaussian-processes-1604.05263"/></url>
<url><loc>https://scifaro.com/en/abs/finding-common-characteristics-among-nba-playoff-and-championship-teams-a-machine-learning-approach-1604.05266</loc><lastmod>2017-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-common-characteristics-among-nba-playoff-and-championship-teams-a-machine-learning-approach-1604.05266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-common-characteristics-among-nba-playoff-and-championship-teams-a-machine-learning-approach-1604.05266"/></url>
<url><loc>https://scifaro.com/en/abs/churn-analysis-using-deep-convolutional-neural-networks-and-autoencoders-1604.05377</loc><lastmod>2016-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/churn-analysis-using-deep-convolutional-neural-networks-and-autoencoders-1604.05377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/churn-analysis-using-deep-convolutional-neural-networks-and-autoencoders-1604.05377"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-label-learning-for-modeling-labels-on-the-fly-1604.05449</loc><lastmod>2016-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-label-learning-for-modeling-labels-on-the-fly-1604.05449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-label-learning-for-modeling-labels-on-the-fly-1604.05449"/></url>
<url><loc>https://scifaro.com/en/abs/trading-off-cost-of-deployment-versus-accuracy-in-learning-predictive-models-1604.05819</loc><lastmod>2016-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trading-off-cost-of-deployment-versus-accuracy-in-learning-predictive-models-1604.05819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trading-off-cost-of-deployment-versus-accuracy-in-learning-predictive-models-1604.05819"/></url>
<url><loc>https://scifaro.com/en/abs/constructive-preference-elicitation-by-setwise-max-margin-learning-1604.06020</loc><lastmod>2016-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constructive-preference-elicitation-by-setwise-max-margin-learning-1604.06020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constructive-preference-elicitation-by-setwise-max-margin-learning-1604.06020"/></url>
<url><loc>https://scifaro.com/en/abs/random-projection-estimation-of-discrete-choice-models-with-large-choice-sets-1604.06036</loc><lastmod>2016-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-projection-estimation-of-discrete-choice-models-with-large-choice-sets-1604.06036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-projection-estimation-of-discrete-choice-models-with-large-choice-sets-1604.06036"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-matrix-factorization-with-social-influence-1604.06194</loc><lastmod>2016-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-matrix-factorization-with-social-influence-1604.06194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-matrix-factorization-with-social-influence-1604.06194"/></url>
<url><loc>https://scifaro.com/en/abs/stabilized-sparse-online-learning-for-sparse-data-1604.06498</loc><lastmod>2017-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stabilized-sparse-online-learning-for-sparse-data-1604.06498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stabilized-sparse-online-learning-for-sparse-data-1604.06498"/></url>
<url><loc>https://scifaro.com/en/abs/an-improved-chromosome-formulation-for-genetic-algorithms-applied-to-variable-selection-with-the-inclusion-of-interaction-terms-1604.06727</loc><lastmod>2016-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improved-chromosome-formulation-for-genetic-algorithms-applied-to-variable-selection-with-the-inclusion-of-interaction-terms-1604.06727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improved-chromosome-formulation-for-genetic-algorithms-applied-to-variable-selection-with-the-inclusion-of-interaction-terms-1604.06727"/></url>
<url><loc>https://scifaro.com/en/abs/non-convex-global-minimization-and-false-discovery-rate-control-for-the-trex-1604.06815</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-convex-global-minimization-and-false-discovery-rate-control-for-the-trex-1604.06815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-convex-global-minimization-and-false-discovery-rate-control-for-the-trex-1604.06815"/></url>
<url><loc>https://scifaro.com/en/abs/neural-random-forests-1604.07143</loc><lastmod>2018-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-random-forests-1604.07143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-random-forests-1604.07143"/></url>
<url><loc>https://scifaro.com/en/abs/fast-nonlinear-embeddings-via-structured-matrices-1604.07356</loc><lastmod>2016-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-nonlinear-embeddings-via-structured-matrices-1604.07356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-nonlinear-embeddings-via-structured-matrices-1604.07356"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-pricing-with-demand-covariates-1604.07463</loc><lastmod>2016-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-pricing-with-demand-covariates-1604.07463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-pricing-with-demand-covariates-1604.07463"/></url>
<url><loc>https://scifaro.com/en/abs/condorcet-s-jury-theorem-for-consensus-clustering-and-its-implications-for-diversity-1604.07711</loc><lastmod>2016-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/condorcet-s-jury-theorem-for-consensus-clustering-and-its-implications-for-diversity-1604.07711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/condorcet-s-jury-theorem-for-consensus-clustering-and-its-implications-for-diversity-1604.07711"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-view-learning-1604.08291</loc><lastmod>2016-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-view-learning-1604.08291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-view-learning-1604.08291"/></url>
<url><loc>https://scifaro.com/en/abs/two-differentially-private-rating-collection-mechanisms-for-recommender-systems-1604.08402</loc><lastmod>2016-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-differentially-private-rating-collection-mechanisms-for-recommender-systems-1604.08402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-differentially-private-rating-collection-mechanisms-for-recommender-systems-1604.08402"/></url>
<url><loc>https://scifaro.com/en/abs/a-probabilistic-adaptive-search-system-for-exploring-the-face-space-1604.08524</loc><lastmod>2016-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probabilistic-adaptive-search-system-for-exploring-the-face-space-1604.08524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probabilistic-adaptive-search-system-for-exploring-the-face-space-1604.08524"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-transport-vs-fisher-rao-distance-between-copulas-for-clustering-multivariate-time-series-1604.08634</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-transport-vs-fisher-rao-distance-between-copulas-for-clustering-multivariate-time-series-1604.08634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-transport-vs-fisher-rao-distance-between-copulas-for-clustering-multivariate-time-series-1604.08634"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-generalized-eigenvalue-problem-optimal-statistical-rates-via-truncated-rayleigh-flow-1604.08697</loc><lastmod>2018-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-generalized-eigenvalue-problem-optimal-statistical-rates-via-truncated-rayleigh-flow-1604.08697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-generalized-eigenvalue-problem-optimal-statistical-rates-via-truncated-rayleigh-flow-1604.08697"/></url>
<url><loc>https://scifaro.com/en/abs/towards-conceptual-compression-1604.08772</loc><lastmod>2016-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-conceptual-compression-1604.08772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-conceptual-compression-1604.08772"/></url>
<url><loc>https://scifaro.com/en/abs/an-expressive-dissimilarity-measure-for-relational-clustering-using-neighbourhood-trees-1604.08934</loc><lastmod>2017-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-expressive-dissimilarity-measure-for-relational-clustering-using-neighbourhood-trees-1604.08934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-expressive-dissimilarity-measure-for-relational-clustering-using-neighbourhood-trees-1604.08934"/></url>
<url><loc>https://scifaro.com/en/abs/directional-statistics-in-machine-learning-a-brief-review-1605.00316</loc><lastmod>2016-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/directional-statistics-in-machine-learning-a-brief-review-1605.00316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/directional-statistics-in-machine-learning-a-brief-review-1605.00316"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-structured-anomaly-detection-for-gaussian-graphical-models-1605.00355</loc><lastmod>2016-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-structured-anomaly-detection-for-gaussian-graphical-models-1605.00355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-structured-anomaly-detection-for-gaussian-graphical-models-1605.00355"/></url>
<url><loc>https://scifaro.com/en/abs/highly-accurate-prediction-of-jobs-runtime-classes-1605.00388</loc><lastmod>2016-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/highly-accurate-prediction-of-jobs-runtime-classes-1605.00388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/highly-accurate-prediction-of-jobs-runtime-classes-1605.00388"/></url>
<url><loc>https://scifaro.com/en/abs/fuzzy-clustering-of-distribution-valued-data-using-adaptive-l2-wasserstein-distances-1605.00513</loc><lastmod>2016-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fuzzy-clustering-of-distribution-valued-data-using-adaptive-l2-wasserstein-distances-1605.00513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fuzzy-clustering-of-distribution-valued-data-using-adaptive-l2-wasserstein-distances-1605.00513"/></url>
<url><loc>https://scifaro.com/en/abs/linear-time-outlier-detection-via-sensitivity-1605.00519</loc><lastmod>2016-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-time-outlier-detection-via-sensitivity-1605.00519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-time-outlier-detection-via-sensitivity-1605.00519"/></url>
<url><loc>https://scifaro.com/en/abs/tradeoffs-for-space-time-data-and-risk-in-unsupervised-learning-1605.00529</loc><lastmod>2016-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tradeoffs-for-space-time-data-and-risk-in-unsupervised-learning-1605.00529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tradeoffs-for-space-time-data-and-risk-in-unsupervised-learning-1605.00529"/></url>
<url><loc>https://scifaro.com/en/abs/graph-clustering-bandits-for-recommendation-1605.00596</loc><lastmod>2016-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-clustering-bandits-for-recommendation-1605.00596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-clustering-bandits-for-recommendation-1605.00596"/></url>
<url><loc>https://scifaro.com/en/abs/dictionary-learning-for-massive-matrix-factorization-1605.00937</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dictionary-learning-for-massive-matrix-factorization-1605.00937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dictionary-learning-for-massive-matrix-factorization-1605.00937"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-dynamic-discriminative-dictionary-learning-1605.01107</loc><lastmod>2016-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-dynamic-discriminative-dictionary-learning-1605.01107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-dynamic-discriminative-dictionary-learning-1605.01107"/></url>
<url><loc>https://scifaro.com/en/abs/an-evaluation-of-randomized-machine-learning-methods-for-redundant-data-predicting-short-and-medium-term-suicide-risk-from-administrative-records-and-risk-assessments-1605.01116</loc><lastmod>2016-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-evaluation-of-randomized-machine-learning-methods-for-redundant-data-predicting-short-and-medium-term-suicide-risk-from-administrative-records-and-risk-assessments-1605.01116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-evaluation-of-randomized-machine-learning-methods-for-redundant-data-predicting-short-and-medium-term-suicide-risk-from-administrative-records-and-risk-assessments-1605.01116"/></url>
<url><loc>https://scifaro.com/en/abs/linear-bandit-algorithms-using-the-bootstrap-1605.01185</loc><lastmod>2016-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-bandit-algorithms-using-the-bootstrap-1605.01185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-bandit-algorithms-using-the-bootstrap-1605.01185"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-approach-to-policy-recognition-and-state-representation-learning-1605.01278</loc><lastmod>2017-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-approach-to-policy-recognition-and-state-representation-learning-1605.01278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-approach-to-policy-recognition-and-state-representation-learning-1605.01278"/></url>
<url><loc>https://scifaro.com/en/abs/observational-interventional-priors-for-dose-response-learning-1605.01573</loc><lastmod>2016-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/observational-interventional-priors-for-dose-response-learning-1605.01573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/observational-interventional-priors-for-dose-response-learning-1605.01573"/></url>
<url><loc>https://scifaro.com/en/abs/the-embedding-dimension-of-laplacian-eigenfunction-maps-1605.01643</loc><lastmod>2016-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-embedding-dimension-of-laplacian-eigenfunction-maps-1605.01643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-embedding-dimension-of-laplacian-eigenfunction-maps-1605.01643"/></url>
<url><loc>https://scifaro.com/en/abs/a-tight-bound-of-hard-thresholding-1605.01656</loc><lastmod>2020-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tight-bound-of-hard-thresholding-1605.01656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tight-bound-of-hard-thresholding-1605.01656"/></url>
<url><loc>https://scifaro.com/en/abs/copeland-dueling-bandit-problem-regret-lower-bound-optimal-algorithm-and-computationally-efficient-algorithm-1605.01677</loc><lastmod>2016-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/copeland-dueling-bandit-problem-regret-lower-bound-optimal-algorithm-and-computationally-efficient-algorithm-1605.01677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/copeland-dueling-bandit-problem-regret-lower-bound-optimal-algorithm-and-computationally-efficient-algorithm-1605.01677"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-on-the-edge-learning-structure-in-graphs-1605.01779</loc><lastmod>2016-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-on-the-edge-learning-structure-in-graphs-1605.01779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-on-the-edge-learning-structure-in-graphs-1605.01779"/></url>
<url><loc>https://scifaro.com/en/abs/energy-disaggregation-for-real-time-building-flexibility-detection-1605.01939</loc><lastmod>2016-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-disaggregation-for-real-time-building-flexibility-detection-1605.01939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-disaggregation-for-real-time-building-flexibility-detection-1605.01939"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-inflating-sampling-algorithm-1605.02113</loc><lastmod>2017-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-inflating-sampling-algorithm-1605.02113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-inflating-sampling-algorithm-1605.02113"/></url>
<url><loc>https://scifaro.com/en/abs/matching-models-across-abstraction-levels-with-gaussian-processes-1605.02190</loc><lastmod>2016-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matching-models-across-abstraction-levels-with-gaussian-processes-1605.02190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matching-models-across-abstraction-levels-with-gaussian-processes-1605.02190"/></url>
<url><loc>https://scifaro.com/en/abs/on-average-kl-privacy-and-its-equivalence-to-generalization-for-max-entropy-mechanisms-1605.02277</loc><lastmod>2016-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-average-kl-privacy-and-its-equivalence-to-generalization-for-max-entropy-mechanisms-1605.02277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-average-kl-privacy-and-its-equivalence-to-generalization-for-max-entropy-mechanisms-1605.02277"/></url>
<url><loc>https://scifaro.com/en/abs/information-recovery-in-shuffled-graphs-via-graph-matching-1605.02315</loc><lastmod>2017-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-recovery-in-shuffled-graphs-via-graph-matching-1605.02315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-recovery-in-shuffled-graphs-via-graph-matching-1605.02315"/></url>
<url><loc>https://scifaro.com/en/abs/exact-icl-maximization-in-a-non-stationary-temporal-extension-of-the-stochastic-block-model-for-dynamic-networks-1605.02540</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-icl-maximization-in-a-non-stationary-temporal-extension-of-the-stochastic-block-model-for-dynamic-networks-1605.02540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-icl-maximization-in-a-non-stationary-temporal-extension-of-the-stochastic-block-model-for-dynamic-networks-1605.02540"/></url>
<url><loc>https://scifaro.com/en/abs/mean-absolute-percentage-error-for-regression-models-1605.02541</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-absolute-percentage-error-for-regression-models-1605.02541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-absolute-percentage-error-for-regression-models-1605.02541"/></url>
<url><loc>https://scifaro.com/en/abs/why-and-how-avoid-orthogonal-procrustes-in-regularized-multivariate-analysis-1605.02674</loc><lastmod>2016-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-and-how-avoid-orthogonal-procrustes-in-regularized-multivariate-analysis-1605.02674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-and-how-avoid-orthogonal-procrustes-in-regularized-multivariate-analysis-1605.02674"/></url>
<url><loc>https://scifaro.com/en/abs/inference-of-high-dimensional-autoregressive-generalized-linear-models-1605.02693</loc><lastmod>2017-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-of-high-dimensional-autoregressive-generalized-linear-models-1605.02693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-of-high-dimensional-autoregressive-generalized-linear-models-1605.02693"/></url>
<url><loc>https://scifaro.com/en/abs/identification-of-refugee-influx-patterns-in-greece-via-model-theoretic-analysis-of-daily-arrivals-1605.02784</loc><lastmod>2016-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identification-of-refugee-influx-patterns-in-greece-via-model-theoretic-analysis-of-daily-arrivals-1605.02784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identification-of-refugee-influx-patterns-in-greece-via-model-theoretic-analysis-of-daily-arrivals-1605.02784"/></url>
<url><loc>https://scifaro.com/en/abs/learning-theory-estimates-with-observations-from-general-stationary-stochastic-processes-1605.02887</loc><lastmod>2016-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-theory-estimates-with-observations-from-general-stationary-stochastic-processes-1605.02887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-theory-estimates-with-observations-from-general-stationary-stochastic-processes-1605.02887"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-k-means-algorithm-for-massive-data-1605.02989</loc><lastmod>2016-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-k-means-algorithm-for-massive-data-1605.02989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-k-means-algorithm-for-massive-data-1605.02989"/></url>
<url><loc>https://scifaro.com/en/abs/destination-prediction-by-trajectory-distribution-based-model-1605.03027</loc><lastmod>2016-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/destination-prediction-by-trajectory-distribution-based-model-1605.03027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/destination-prediction-by-trajectory-distribution-based-model-1605.03027"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-the-statistical-view-of-matrix-completion-1605.03040</loc><lastmod>2016-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-the-statistical-view-of-matrix-completion-1605.03040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-the-statistical-view-of-matrix-completion-1605.03040"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-based-structural-equation-models-for-topology-identification-of-directed-networks-1605.03122</loc><lastmod>2017-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-based-structural-equation-models-for-topology-identification-of-directed-networks-1605.03122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-based-structural-equation-models-for-topology-identification-of-directed-networks-1605.03122"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-sparse-precision-matrix-selection-for-fitting-multivariate-gaussian-random-fields-to-large-data-sets-1605.03267</loc><lastmod>2021-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-sparse-precision-matrix-selection-for-fitting-multivariate-gaussian-random-fields-to-large-data-sets-1605.03267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-sparse-precision-matrix-selection-for-fitting-multivariate-gaussian-random-fields-to-large-data-sets-1605.03267"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-split-variable-selection-for-random-survival-forests-using-maximally-selected-rank-statistics-1605.03391</loc><lastmod>2018-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-split-variable-selection-for-random-survival-forests-using-maximally-selected-rank-statistics-1605.03391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-split-variable-selection-for-random-survival-forests-using-maximally-selected-rank-statistics-1605.03391"/></url>
<url><loc>https://scifaro.com/en/abs/eef-exponentially-embedded-families-with-class-specific-features-for-classification-1605.03631</loc><lastmod>2016-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eef-exponentially-embedded-families-with-class-specific-features-for-classification-1605.03631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eef-exponentially-embedded-families-with-class-specific-features-for-classification-1605.03631"/></url>
<url><loc>https://scifaro.com/en/abs/learning-representations-for-counterfactual-inference-1605.03661</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-representations-for-counterfactual-inference-1605.03661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-representations-for-counterfactual-inference-1605.03661"/></url>
<url><loc>https://scifaro.com/en/abs/exponential-machines-1605.03795</loc><lastmod>2017-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-machines-1605.03795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-machines-1605.03795"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-relative-anomaly-1605.03805</loc><lastmod>2016-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-relative-anomaly-1605.03805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-relative-anomaly-1605.03805"/></url>
<url><loc>https://scifaro.com/en/abs/context-dependent-feature-analysis-with-random-forests-1605.03848</loc><lastmod>2016-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-dependent-feature-analysis-with-random-forests-1605.03848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-dependent-feature-analysis-with-random-forests-1605.03848"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-bayes-score-for-discrete-bayesian-networks-1605.03884</loc><lastmod>2017-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-bayes-score-for-discrete-bayesian-networks-1605.03884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-bayes-score-for-discrete-bayesian-networks-1605.03884"/></url>
<url><loc>https://scifaro.com/en/abs/wisdom-of-crowds-cluster-ensemble-1605.04074</loc><lastmod>2016-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wisdom-of-crowds-cluster-ensemble-1605.04074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wisdom-of-crowds-cluster-ensemble-1605.04074"/></url>
<url><loc>https://scifaro.com/en/abs/online-optimization-methods-for-the-quantification-problem-1605.04135</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-optimization-methods-for-the-quantification-problem-1605.04135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-optimization-methods-for-the-quantification-problem-1605.04135"/></url>
<url><loc>https://scifaro.com/en/abs/abtree-an-algorithm-for-subgroup-based-treatment-assignment-1605.04262</loc><lastmod>2016-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/abtree-an-algorithm-for-subgroup-based-treatment-assignment-1605.04262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/abtree-an-algorithm-for-subgroup-based-treatment-assignment-1605.04262"/></url>
<url><loc>https://scifaro.com/en/abs/proceedings-of-the-5th-workshop-on-machine-learning-and-interpretation-in-neuroimaging-mlini-at-nips-2015-1605.04435</loc><lastmod>2016-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proceedings-of-the-5th-workshop-on-machine-learning-and-interpretation-in-neuroimaging-mlini-at-nips-2015-1605.04435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proceedings-of-the-5th-workshop-on-machine-learning-and-interpretation-in-neuroimaging-mlini-at-nips-2015-1605.04435"/></url>
<url><loc>https://scifaro.com/en/abs/monotone-retargeting-for-unsupervised-rank-aggregation-with-object-features-1605.04465</loc><lastmod>2016-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monotone-retargeting-for-unsupervised-rank-aggregation-with-object-features-1605.04465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monotone-retargeting-for-unsupervised-rank-aggregation-with-object-features-1605.04465"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-linear-models-for-aggregated-data-1605.04466</loc><lastmod>2016-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-linear-models-for-aggregated-data-1605.04466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-linear-models-for-aggregated-data-1605.04466"/></url>
<url><loc>https://scifaro.com/en/abs/a-critical-examination-of-rescal-for-completion-of-knowledge-bases-with-transitive-relations-1605.04672</loc><lastmod>2016-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-critical-examination-of-rescal-for-completion-of-knowledge-bases-with-transitive-relations-1605.04672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-critical-examination-of-rescal-for-completion-of-knowledge-bases-with-transitive-relations-1605.04672"/></url>
<url><loc>https://scifaro.com/en/abs/probing-the-geometry-of-data-with-diffusion-fr-echet-functions-1605.04955</loc><lastmod>2017-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probing-the-geometry-of-data-with-diffusion-fr-echet-functions-1605.04955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probing-the-geometry-of-data-with-diffusion-fr-echet-functions-1605.04955"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-robot-learning-of-new-objects-with-fixed-update-time-1605.05045</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-robot-learning-of-new-objects-with-fixed-update-time-1605.05045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-robot-learning-of-new-objects-with-fixed-update-time-1605.05045"/></url>
<url><loc>https://scifaro.com/en/abs/biologically-inspired-radio-signal-feature-extraction-with-sparse-denoising-autoencoders-1605.05239</loc><lastmod>2016-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biologically-inspired-radio-signal-feature-extraction-with-sparse-denoising-autoencoders-1605.05239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biologically-inspired-radio-signal-feature-extraction-with-sparse-denoising-autoencoders-1605.05239"/></url>
<url><loc>https://scifaro.com/en/abs/orthogonal-symmetric-non-negative-matrix-factorization-under-the-stochastic-block-model-1605.05349</loc><lastmod>2016-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthogonal-symmetric-non-negative-matrix-factorization-under-the-stochastic-block-model-1605.05349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthogonal-symmetric-non-negative-matrix-factorization-under-the-stochastic-block-model-1605.05349"/></url>
<url><loc>https://scifaro.com/en/abs/learning-activation-functions-from-data-using-cubic-spline-interpolation-1605.05509</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-activation-functions-from-data-using-cubic-spline-interpolation-1605.05509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-activation-functions-from-data-using-cubic-spline-interpolation-1605.05509"/></url>
<url><loc>https://scifaro.com/en/abs/online-algorithms-for-parameter-mean-and-variance-estimation-in-dynamic-regression-models-1605.05697</loc><lastmod>2016-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-algorithms-for-parameter-mean-and-variance-estimation-in-dynamic-regression-models-1605.05697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-algorithms-for-parameter-mean-and-variance-estimation-in-dynamic-regression-models-1605.05697"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-learning-with-quantum-inspired-tensor-networks-1605.05775</loc><lastmod>2017-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-learning-with-quantum-inspired-tensor-networks-1605.05775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-learning-with-quantum-inspired-tensor-networks-1605.05775"/></url>
<url><loc>https://scifaro.com/en/abs/false-discovery-rate-control-and-statistical-quality-assessment-of-annotators-in-crowdsourced-ranking-1605.05860</loc><lastmod>2016-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/false-discovery-rate-control-and-statistical-quality-assessment-of-annotators-in-crowdsourced-ranking-1605.05860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/false-discovery-rate-control-and-statistical-quality-assessment-of-annotators-in-crowdsourced-ranking-1605.05860"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-variable-selection-for-globally-sparse-probabilistic-pca-1605.05918</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-variable-selection-for-globally-sparse-probabilistic-pca-1605.05918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-variable-selection-for-globally-sparse-probabilistic-pca-1605.05918"/></url>
<url><loc>https://scifaro.com/en/abs/stick-breaking-variational-autoencoders-1605.06197</loc><lastmod>2017-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stick-breaking-variational-autoencoders-1605.06197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stick-breaking-variational-autoencoders-1605.06197"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-contrastive-divergence-with-annealed-learning-rate-in-exponential-family-1605.06220</loc><lastmod>2016-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-contrastive-divergence-with-annealed-learning-rate-in-exponential-family-1605.06220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-contrastive-divergence-with-annealed-learning-rate-in-exponential-family-1605.06220"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-kernel-learning-with-supervised-convolutional-kernel-networks-1605.06265</loc><lastmod>2016-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-kernel-learning-with-supervised-convolutional-kernel-networks-1605.06265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-kernel-learning-with-supervised-convolutional-kernel-networks-1605.06265"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-feature-extraction-by-time-contrastive-learning-and-nonlinear-ica-1605.06336</loc><lastmod>2016-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-feature-extraction-by-time-contrastive-learning-and-nonlinear-ica-1605.06336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-feature-extraction-by-time-contrastive-learning-and-nonlinear-ica-1605.06336"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-discover-sparse-graphical-models-1605.06359</loc><lastmod>2017-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-discover-sparse-graphical-models-1605.06359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-discover-sparse-graphical-models-1605.06359"/></url>
<url><loc>https://scifaro.com/en/abs/fast-epsilon-free-inference-of-simulation-models-with-bayesian-conditional-density-estimation-1605.06376</loc><lastmod>2018-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-epsilon-free-inference-of-simulation-models-with-bayesian-conditional-density-estimation-1605.06376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-epsilon-free-inference-of-simulation-models-with-bayesian-conditional-density-estimation-1605.06376"/></url>
<url><loc>https://scifaro.com/en/abs/deep-variational-bayes-filters-unsupervised-learning-of-state-space-models-from-raw-data-1605.06432</loc><lastmod>2017-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-variational-bayes-filters-unsupervised-learning-of-state-space-models-from-raw-data-1605.06432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-variational-bayes-filters-unsupervised-learning-of-state-space-models-from-raw-data-1605.06432"/></url>
<url><loc>https://scifaro.com/en/abs/structured-prediction-theory-based-on-factor-graph-complexity-1605.06443</loc><lastmod>2016-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-prediction-theory-based-on-factor-graph-complexity-1605.06443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-prediction-theory-based-on-factor-graph-complexity-1605.06443"/></url>
<url><loc>https://scifaro.com/en/abs/unreasonable-effectiveness-of-learning-neural-networks-from-accessible-states-and-robust-ensembles-to-basic-algorithmic-schemes-1605.06444</loc><lastmod>2016-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unreasonable-effectiveness-of-learning-neural-networks-from-accessible-states-and-robust-ensembles-to-basic-algorithmic-schemes-1605.06444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unreasonable-effectiveness-of-learning-neural-networks-from-accessible-states-and-robust-ensembles-to-basic-algorithmic-schemes-1605.06444"/></url>
<url><loc>https://scifaro.com/en/abs/fixed-points-of-belief-propagation-an-analysis-via-polynomial-homotopy-continuation-1605.06451</loc><lastmod>2017-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fixed-points-of-belief-propagation-an-analysis-via-polynomial-homotopy-continuation-1605.06451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fixed-points-of-belief-propagation-an-analysis-via-polynomial-homotopy-continuation-1605.06451"/></url>
<url><loc>https://scifaro.com/en/abs/factored-temporal-sigmoid-belief-networks-for-sequence-learning-1605.06715</loc><lastmod>2016-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factored-temporal-sigmoid-belief-networks-for-sequence-learning-1605.06715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factored-temporal-sigmoid-belief-networks-for-sequence-learning-1605.06715"/></url>
<url><loc>https://scifaro.com/en/abs/a-rapid-pattern-recognition-method-for-driving-types-using-clustering-based-support-vector-machines-1605.06742</loc><lastmod>2017-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-rapid-pattern-recognition-method-for-driving-types-using-clustering-based-support-vector-machines-1605.06742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-rapid-pattern-recognition-method-for-driving-types-using-clustering-based-support-vector-machines-1605.06742"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-distribution-features-with-maximum-testing-power-1605.06796</loc><lastmod>2016-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-distribution-features-with-maximum-testing-power-1605.06796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-distribution-features-with-maximum-testing-power-1605.06796"/></url>
<url><loc>https://scifaro.com/en/abs/causality-on-longitudinal-data-stable-specification-search-in-constrained-structural-equation-modeling-1605.06838</loc><lastmod>2017-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causality-on-longitudinal-data-stable-specification-search-in-constrained-structural-equation-modeling-1605.06838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causality-on-longitudinal-data-stable-specification-search-in-constrained-structural-equation-modeling-1605.06838"/></url>
<url><loc>https://scifaro.com/en/abs/a-sub-quadratic-exact-medoid-algorithm-1605.06950</loc><lastmod>2017-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sub-quadratic-exact-medoid-algorithm-1605.06950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sub-quadratic-exact-medoid-algorithm-1605.06950"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-filtering-with-side-information-a-gaussian-process-perspective-1605.07025</loc><lastmod>2017-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-filtering-with-side-information-a-gaussian-process-perspective-1605.07025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-filtering-with-side-information-a-gaussian-process-perspective-1605.07025"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-analysis-for-rectangular-matrix-completion-using-burer-monteiro-factorization-and-gradient-descent-1605.07051</loc><lastmod>2016-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-analysis-for-rectangular-matrix-completion-using-burer-monteiro-factorization-and-gradient-descent-1605.07051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-analysis-for-rectangular-matrix-completion-using-burer-monteiro-factorization-and-gradient-descent-1605.07051"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-model-selection-of-stochastic-block-models-1605.07057</loc><lastmod>2016-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-model-selection-of-stochastic-block-models-1605.07057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-model-selection-of-stochastic-block-models-1605.07057"/></url>
<url><loc>https://scifaro.com/en/abs/a-unifying-framework-for-gaussian-process-pseudo-point-approximations-using-power-expectation-propagation-1605.07066</loc><lastmod>2017-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unifying-framework-for-gaussian-process-pseudo-point-approximations-using-power-expectation-propagation-1605.07066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unifying-framework-for-gaussian-process-pseudo-point-approximations-using-power-expectation-propagation-1605.07066"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-without-poor-local-minima-1605.07110</loc><lastmod>2016-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-without-poor-local-minima-1605.07110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-without-poor-local-minima-1605.07110"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-policy-search-in-stochastic-dynamical-systems-with-bayesian-neural-networks-1605.07127</loc><lastmod>2017-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-policy-search-in-stochastic-dynamical-systems-with-bayesian-neural-networks-1605.07127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-policy-search-in-stochastic-dynamical-systems-with-bayesian-neural-networks-1605.07127"/></url>
<url><loc>https://scifaro.com/en/abs/actively-learning-hemimetrics-with-applications-to-eliciting-user-preferences-1605.07144</loc><lastmod>2016-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/actively-learning-hemimetrics-with-applications-to-eliciting-user-preferences-1605.07144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/actively-learning-hemimetrics-with-applications-to-eliciting-user-preferences-1605.07144"/></url>
<url><loc>https://scifaro.com/en/abs/on-optimality-conditions-for-auto-encoder-signal-recovery-1605.07145</loc><lastmod>2017-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-optimality-conditions-for-auto-encoder-signal-recovery-1605.07145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-optimality-conditions-for-auto-encoder-signal-recovery-1605.07145"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-based-reconstruction-of-graph-signals-1605.07174</loc><lastmod>2016-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-based-reconstruction-of-graph-signals-1605.07174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-based-reconstruction-of-graph-signals-1605.07174"/></url>
<url><loc>https://scifaro.com/en/abs/global-optimality-of-local-search-for-low-rank-matrix-recovery-1605.07221</loc><lastmod>2016-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-optimality-of-local-search-for-low-rank-matrix-recovery-1605.07221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-optimality-of-local-search-for-low-rank-matrix-recovery-1605.07221"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-guarantees-for-kernel-based-quadrature-rules-in-misspecified-settings-1605.07254</loc><lastmod>2016-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-guarantees-for-kernel-based-quadrature-rules-in-misspecified-settings-1605.07254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-guarantees-for-kernel-based-quadrature-rules-in-misspecified-settings-1605.07254"/></url>
<url><loc>https://scifaro.com/en/abs/relevant-sparse-codes-with-variational-information-bottleneck-1605.07332</loc><lastmod>2016-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relevant-sparse-codes-with-variational-information-bottleneck-1605.07332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relevant-sparse-codes-with-variational-information-bottleneck-1605.07332"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-memory-networks-1605.07427</loc><lastmod>2016-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-memory-networks-1605.07427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-memory-networks-1605.07427"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-neural-models-with-stochastic-layers-1605.07571</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-neural-models-with-stochastic-layers-1605.07571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-neural-models-with-stochastic-layers-1605.07571"/></url>
<url><loc>https://scifaro.com/en/abs/local-minimax-complexity-of-stochastic-convex-optimization-1605.07596</loc><lastmod>2016-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-minimax-complexity-of-stochastic-convex-optimization-1605.07596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-minimax-complexity-of-stochastic-convex-optimization-1605.07596"/></url>
<url><loc>https://scifaro.com/en/abs/posterior-dispersion-indices-1605.07604</loc><lastmod>2016-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/posterior-dispersion-indices-1605.07604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/posterior-dispersion-indices-1605.07604"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-distributed-statistical-inference-1605.07689</loc><lastmod>2016-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-distributed-statistical-inference-1605.07689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-distributed-statistical-inference-1605.07689"/></url>
<url><loc>https://scifaro.com/en/abs/exact-exponent-in-optimal-rates-for-crowdsourcing-1605.07696</loc><lastmod>2016-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-exponent-in-optimal-rates-for-crowdsourcing-1605.07696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-exponent-in-optimal-rates-for-crowdsourcing-1605.07696"/></url>
<url><loc>https://scifaro.com/en/abs/reshaped-wirtinger-flow-and-incremental-algorithm-for-solving-quadratic-system-of-equations-1605.07719</loc><lastmod>2016-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reshaped-wirtinger-flow-and-incremental-algorithm-for-solving-quadratic-system-of-equations-1605.07719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reshaped-wirtinger-flow-and-incremental-algorithm-for-solving-quadratic-system-of-equations-1605.07719"/></url>
<url><loc>https://scifaro.com/en/abs/data-programming-creating-large-training-sets-quickly-1605.07723</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-programming-creating-large-training-sets-quickly-1605.07723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-programming-creating-large-training-sets-quickly-1605.07723"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-training-methods-for-semi-supervised-text-classification-1605.07725</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-training-methods-for-semi-supervised-text-classification-1605.07725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-training-methods-for-semi-supervised-text-classification-1605.07725"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneous-sparse-dictionary-learning-and-pruning-1605.07870</loc><lastmod>2016-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneous-sparse-dictionary-learning-and-pruning-1605.07870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneous-sparse-dictionary-learning-and-pruning-1605.07870"/></url>
<url><loc>https://scifaro.com/en/abs/how-priors-of-initial-hyperparameters-affect-gaussian-process-regression-models-1605.07906</loc><lastmod>2018-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-priors-of-initial-hyperparameters-affect-gaussian-process-regression-models-1605.07906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-priors-of-initial-hyperparameters-affect-gaussian-process-regression-models-1605.07906"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-distributed-learning-with-sparsity-1605.07991</loc><lastmod>2016-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-distributed-learning-with-sparsity-1605.07991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-distributed-learning-with-sparsity-1605.07991"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-causal-signals-in-images-1605.08179</loc><lastmod>2017-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-causal-signals-in-images-1605.08179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-causal-signals-in-images-1605.08179"/></url>
<url><loc>https://scifaro.com/en/abs/robust-large-margin-deep-neural-networks-1605.08254</loc><lastmod>2017-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-large-margin-deep-neural-networks-1605.08254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-large-margin-deep-neural-networks-1605.08254"/></url>
<url><loc>https://scifaro.com/en/abs/solving-systems-of-random-quadratic-equations-via-truncated-amplitude-flow-1605.08285</loc><lastmod>2017-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-systems-of-random-quadratic-equations-via-truncated-amplitude-flow-1605.08285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-systems-of-random-quadratic-equations-via-truncated-amplitude-flow-1605.08285"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-family-of-trimmed-estimators-for-robust-high-dimensional-data-analysis-1605.08299</loc><lastmod>2017-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-family-of-trimmed-estimators-for-robust-high-dimensional-data-analysis-1605.08299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-family-of-trimmed-estimators-for-robust-high-dimensional-data-analysis-1605.08299"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-coarse-graining-1605.08301</loc><lastmod>2017-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-coarse-graining-1605.08301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-coarse-graining-1605.08301"/></url>
<url><loc>https://scifaro.com/en/abs/no-bad-local-minima-data-independent-training-error-guarantees-for-multilayer-neural-networks-1605.08361</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-bad-local-minima-data-independent-training-error-guarantees-for-multilayer-neural-networks-1605.08361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-bad-local-minima-data-independent-training-error-guarantees-for-multilayer-neural-networks-1605.08361"/></url>
<url><loc>https://scifaro.com/en/abs/local-region-sparse-learning-for-image-on-scalar-regression-1605.08501</loc><lastmod>2016-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-region-sparse-learning-for-image-on-scalar-regression-1605.08501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-region-sparse-learning-for-image-on-scalar-regression-1605.08501"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayesian-theory-meets-bayesian-inference-1605.08636</loc><lastmod>2017-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayesian-theory-meets-bayesian-inference-1605.08636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayesian-theory-meets-bayesian-inference-1605.08636"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimal-algorithm-for-the-thresholding-bandit-problem-1605.08671</loc><lastmod>2016-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimal-algorithm-for-the-thresholding-bandit-problem-1605.08671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimal-algorithm-for-the-thresholding-bandit-problem-1605.08671"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-analysis-of-objectives-based-on-fisher-information-in-active-learning-1605.08798</loc><lastmod>2016-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-analysis-of-objectives-based-on-fisher-information-in-active-learning-1605.08798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-analysis-of-objectives-based-on-fisher-information-in-active-learning-1605.08798"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-and-provable-algorithm-for-sparse-diagonal-cca-1605.08961</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-and-provable-algorithm-for-sparse-diagonal-cca-1605.08961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-and-provable-algorithm-for-sparse-diagonal-cca-1605.08961"/></url>
<url><loc>https://scifaro.com/en/abs/tight-lower-bounds-for-the-fixed-budget-best-arm-identification-bandit-problem-1605.09004</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-lower-bounds-for-the-fixed-budget-best-arm-identification-bandit-problem-1605.09004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-lower-bounds-for-the-fixed-budget-best-arm-identification-bandit-problem-1605.09004"/></url>
<url><loc>https://scifaro.com/en/abs/singular-ridge-regression-with-homoscedastic-residuals-generalization-error-with-estimated-parameters-1605.09026</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/singular-ridge-regression-with-homoscedastic-residuals-generalization-error-with-estimated-parameters-1605.09026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/singular-ridge-regression-with-homoscedastic-residuals-generalization-error-with-estimated-parameters-1605.09026"/></url>
<url><loc>https://scifaro.com/en/abs/mcmc-assisted-by-belief-propagation-1605.09042</loc><lastmod>2020-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcmc-assisted-by-belief-propagation-1605.09042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcmc-assisted-by-belief-propagation-1605.09042"/></url>
<url><loc>https://scifaro.com/en/abs/forest-floor-visualizations-of-random-forests-1605.09196</loc><lastmod>2016-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forest-floor-visualizations-of-random-forests-1605.09196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forest-floor-visualizations-of-random-forests-1605.09196"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-discovery-of-el-nino-using-causal-feature-learning-on-microlevel-climate-data-1605.09370</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-discovery-of-el-nino-using-causal-feature-learning-on-microlevel-climate-data-1605.09370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-discovery-of-el-nino-using-causal-feature-learning-on-microlevel-climate-data-1605.09370"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-and-flexible-multiview-max-var-canonical-correlation-analysis-1605.09459</loc><lastmod>2017-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-and-flexible-multiview-max-var-canonical-correlation-analysis-1605.09459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-and-flexible-multiview-max-var-canonical-correlation-analysis-1605.09459"/></url>
<url><loc>https://scifaro.com/en/abs/extreme-stochastic-variational-inference-distributed-and-asynchronous-1605.09499</loc><lastmod>2018-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extreme-stochastic-variational-inference-distributed-and-asynchronous-1605.09499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extreme-stochastic-variational-inference-distributed-and-asynchronous-1605.09499"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-mean-embedding-of-distributions-a-review-and-beyond-1605.09522</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-mean-embedding-of-distributions-a-review-and-beyond-1605.09522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-mean-embedding-of-distributions-a-review-and-beyond-1605.09522"/></url>
<url><loc>https://scifaro.com/en/abs/horizontally-scalable-submodular-maximization-1605.09619</loc><lastmod>2016-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/horizontally-scalable-submodular-maximization-1605.09619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/horizontally-scalable-submodular-maximization-1605.09619"/></url>
<url><loc>https://scifaro.com/en/abs/continuation-of-nesterov-s-smoothing-for-regression-with-structured-sparsity-in-high-dimensional-neuroimaging-1605.09658</loc><lastmod>2018-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuation-of-nesterov-s-smoothing-for-regression-with-structured-sparsity-in-high-dimensional-neuroimaging-1605.09658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuation-of-nesterov-s-smoothing-for-regression-with-structured-sparsity-in-high-dimensional-neuroimaging-1605.09658"/></url>
<url><loc>https://scifaro.com/en/abs/cyclades-conflict-free-asynchronous-machine-learning-1605.09721</loc><lastmod>2016-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cyclades-conflict-free-asynchronous-machine-learning-1605.09721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cyclades-conflict-free-asynchronous-machine-learning-1605.09721"/></url>
<url><loc>https://scifaro.com/en/abs/asynchrony-begets-momentum-with-an-application-to-deep-learning-1605.09774</loc><lastmod>2016-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchrony-begets-momentum-with-an-application-to-deep-learning-1605.09774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchrony-begets-momentum-with-an-application-to-deep-learning-1605.09774"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-outliers-using-influence-function-of-multiple-kernel-canonical-correlation-analysis-1606.00113</loc><lastmod>2016-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-outliers-using-influence-function-of-multiple-kernel-canonical-correlation-analysis-1606.00113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-outliers-using-influence-function-of-multiple-kernel-canonical-correlation-analysis-1606.00113"/></url>
<url><loc>https://scifaro.com/en/abs/gene-gene-association-for-imaging-genetics-data-using-robust-kernel-canonical-correlation-analysis-1606.00118</loc><lastmod>2016-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gene-gene-association-for-imaging-genetics-data-using-robust-kernel-canonical-correlation-analysis-1606.00118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gene-gene-association-for-imaging-genetics-data-using-robust-kernel-canonical-correlation-analysis-1606.00118"/></url>
<url><loc>https://scifaro.com/en/abs/efficiently-bounding-optimal-solutions-after-small-data-modification-in-large-scale-empirical-risk-minimization-1606.00136</loc><lastmod>2016-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficiently-bounding-optimal-solutions-after-small-data-modification-in-large-scale-empirical-risk-minimization-1606.00136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficiently-bounding-optimal-solutions-after-small-data-modification-in-large-scale-empirical-risk-minimization-1606.00136"/></url>
<url><loc>https://scifaro.com/en/abs/model-selection-consistency-from-the-perspective-of-generalization-ability-and-vc-theory-with-an-application-to-lasso-1606.00142</loc><lastmod>2016-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-selection-consistency-from-the-perspective-of-generalization-ability-and-vc-theory-with-an-application-to-lasso-1606.00142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-selection-consistency-from-the-perspective-of-generalization-ability-and-vc-theory-with-an-application-to-lasso-1606.00142"/></url>
<url><loc>https://scifaro.com/en/abs/a-minimax-optimal-algorithm-for-crowdsourcing-1606.00226</loc><lastmod>2017-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-minimax-optimal-algorithm-for-crowdsourcing-1606.00226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-minimax-optimal-algorithm-for-crowdsourcing-1606.00226"/></url>
<url><loc>https://scifaro.com/en/abs/stream-clipper-scalable-submodular-maximization-on-stream-1606.00389</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stream-clipper-scalable-submodular-maximization-on-stream-1606.00389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stream-clipper-scalable-submodular-maximization-on-stream-1606.00389"/></url>
<url><loc>https://scifaro.com/en/abs/variance-reduced-proximal-stochastic-gradient-descent-for-non-convex-composite-optimization-1606.00602</loc><lastmod>2016-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-reduced-proximal-stochastic-gradient-descent-for-non-convex-composite-optimization-1606.00602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-reduced-proximal-stochastic-gradient-descent-for-non-convex-composite-optimization-1606.00602"/></url>
<url><loc>https://scifaro.com/en/abs/adversarially-learned-inference-1606.00704</loc><lastmod>2017-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarially-learned-inference-1606.00704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarially-learned-inference-1606.00704"/></url>
<url><loc>https://scifaro.com/en/abs/f-gan-training-generative-neural-samplers-using-variational-divergence-minimization-1606.00709</loc><lastmod>2016-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/f-gan-training-generative-neural-samplers-using-variational-divergence-minimization-1606.00709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/f-gan-training-generative-neural-samplers-using-variational-divergence-minimization-1606.00709"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-gaussian-processes-1606.00720</loc><lastmod>2019-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-gaussian-processes-1606.00720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-gaussian-processes-1606.00720"/></url>
<url><loc>https://scifaro.com/en/abs/post-inference-prior-swapping-1606.00787</loc><lastmod>2017-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/post-inference-prior-swapping-1606.00787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/post-inference-prior-swapping-1606.00787"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-treelet-transform-1606.00800</loc><lastmod>2016-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-treelet-transform-1606.00800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-treelet-transform-1606.00800"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-root-models-beyond-pairwise-graphical-models-for-univariate-exponential-families-1606.00813</loc><lastmod>2016-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-root-models-beyond-pairwise-graphical-models-for-univariate-exponential-families-1606.00813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-root-models-beyond-pairwise-graphical-models-for-univariate-exponential-families-1606.00813"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-multivariate-regression-and-precision-matrix-estimation-via-nonconvex-optimization-1606.00832</loc><lastmod>2016-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-multivariate-regression-and-precision-matrix-estimation-via-nonconvex-optimization-1606.00832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-multivariate-regression-and-precision-matrix-estimation-via-nonconvex-optimization-1606.00832"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-principal-curves-analysis-1606.00856</loc><lastmod>2016-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-principal-curves-analysis-1606.00856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-principal-curves-analysis-1606.00856"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-statistical-learning-with-truncated-gaussian-graphical-models-1606.00906</loc><lastmod>2016-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-statistical-learning-with-truncated-gaussian-graphical-models-1606.00906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-statistical-learning-with-truncated-gaussian-graphical-models-1606.00906"/></url>
<url><loc>https://scifaro.com/en/abs/deepsurv-personalized-treatment-recommender-system-using-a-cox-proportional-hazards-deep-neural-network-1606.00931</loc><lastmod>2018-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepsurv-personalized-treatment-recommender-system-using-a-cox-proportional-hazards-deep-neural-network-1606.00931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepsurv-personalized-treatment-recommender-system-using-a-cox-proportional-hazards-deep-neural-network-1606.00931"/></url>
<url><loc>https://scifaro.com/en/abs/synthesizing-dynamic-patterns-by-spatial-temporal-generative-convnet-1606.00972</loc><lastmod>2017-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synthesizing-dynamic-patterns-by-spatial-temporal-generative-convnet-1606.00972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synthesizing-dynamic-patterns-by-spatial-temporal-generative-convnet-1606.00972"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-processes-for-music-audio-modelling-and-content-analysis-1606.01039</loc><lastmod>2016-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-processes-for-music-audio-modelling-and-content-analysis-1606.01039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-processes-for-music-audio-modelling-and-content-analysis-1606.01039"/></url>
<url><loc>https://scifaro.com/en/abs/robust-ensemble-clustering-using-probability-trajectories-1606.01160</loc><lastmod>2016-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-ensemble-clustering-using-probability-trajectories-1606.01160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-ensemble-clustering-using-probability-trajectories-1606.01160"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-pattern-recognition-for-driving-styles-based-on-bayesian-probability-and-kernel-density-estimation-1606.01284</loc><lastmod>2018-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-pattern-recognition-for-driving-styles-based-on-bayesian-probability-and-kernel-density-estimation-1606.01284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-pattern-recognition-for-driving-styles-based-on-bayesian-probability-and-kernel-density-estimation-1606.01284"/></url>
<url><loc>https://scifaro.com/en/abs/provable-burer-monteiro-factorization-for-a-class-of-norm-constrained-matrix-problems-1606.01316</loc><lastmod>2016-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-burer-monteiro-factorization-for-a-class-of-norm-constrained-matrix-problems-1606.01316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-burer-monteiro-factorization-for-a-class-of-norm-constrained-matrix-problems-1606.01316"/></url>
<url><loc>https://scifaro.com/en/abs/relaxation-of-the-em-algorithm-via-quantum-annealing-1606.01484</loc><lastmod>2016-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relaxation-of-the-em-algorithm-via-quantum-annealing-1606.01484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relaxation-of-the-em-algorithm-via-quantum-annealing-1606.01484"/></url>
<url><loc>https://scifaro.com/en/abs/bounds-for-vector-valued-function-estimation-1606.01487</loc><lastmod>2016-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounds-for-vector-valued-function-estimation-1606.01487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounds-for-vector-valued-function-estimation-1606.01487"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-with-generative-adversarial-networks-1606.01583</loc><lastmod>2016-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-with-generative-adversarial-networks-1606.01583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-with-generative-adversarial-networks-1606.01583"/></url>
<url><loc>https://scifaro.com/en/abs/integrated-perception-with-recurrent-multi-task-neural-networks-1606.01735</loc><lastmod>2016-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrated-perception-with-recurrent-multi-task-neural-networks-1606.01735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrated-perception-with-recurrent-multi-task-neural-networks-1606.01735"/></url>
<url><loc>https://scifaro.com/en/abs/rocs-derived-features-for-virtual-screening-1606.01822</loc><lastmod>2016-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rocs-derived-features-for-virtual-screening-1606.01822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rocs-derived-features-for-virtual-screening-1606.01822"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-poisson-tucker-decomposition-for-learning-the-structure-of-international-relations-1606.01855</loc><lastmod>2016-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-poisson-tucker-decomposition-for-learning-the-structure-of-international-relations-1606.01855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-poisson-tucker-decomposition-for-learning-the-structure-of-international-relations-1606.01855"/></url>
<url><loc>https://scifaro.com/en/abs/on-robustness-of-kernel-clustering-1606.01869</loc><lastmod>2016-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-robustness-of-kernel-clustering-1606.01869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-robustness-of-kernel-clustering-1606.01869"/></url>
<url><loc>https://scifaro.com/en/abs/expectile-matrix-factorization-for-skewed-data-analysis-1606.01984</loc><lastmod>2017-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expectile-matrix-factorization-for-skewed-data-analysis-1606.01984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expectile-matrix-factorization-for-skewed-data-analysis-1606.01984"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-differentially-private-learning-improves-drug-sensitivity-prediction-1606.02109</loc><lastmod>2018-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-differentially-private-learning-improves-drug-sensitivity-prediction-1606.02109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-differentially-private-learning-improves-drug-sensitivity-prediction-1606.02109"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-neural-statistician-1606.02185</loc><lastmod>2017-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-neural-statistician-1606.02185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-neural-statistician-1606.02185"/></url>
<url><loc>https://scifaro.com/en/abs/a-minimax-approach-to-supervised-learning-1606.02206</loc><lastmod>2017-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-minimax-approach-to-supervised-learning-1606.02206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-minimax-approach-to-supervised-learning-1606.02206"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-the-error-of-monte-carlo-algorithms-by-learning-control-variates-1606.02261</loc><lastmod>2016-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-the-error-of-monte-carlo-algorithms-by-learning-control-variates-1606.02261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-the-error-of-monte-carlo-algorithms-by-learning-control-variates-1606.02261"/></url>
<url><loc>https://scifaro.com/en/abs/sifting-common-information-from-many-variables-1606.02307</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sifting-common-information-from-many-variables-1606.02307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sifting-common-information-from-many-variables-1606.02307"/></url>
<url><loc>https://scifaro.com/en/abs/better-conditional-density-estimation-for-neural-networks-1606.02321</loc><lastmod>2016-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/better-conditional-density-estimation-for-neural-networks-1606.02321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/better-conditional-density-estimation-for-neural-networks-1606.02321"/></url>
<url><loc>https://scifaro.com/en/abs/deep-successor-reinforcement-learning-1606.02396</loc><lastmod>2016-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-successor-reinforcement-learning-1606.02396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-successor-reinforcement-learning-1606.02396"/></url>
<url><loc>https://scifaro.com/en/abs/on-clustering-network-valued-data-1606.02401</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-clustering-network-valued-data-1606.02401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-clustering-network-valued-data-1606.02401"/></url>
<url><loc>https://scifaro.com/en/abs/gossip-dual-averaging-for-decentralized-optimization-of-pairwise-functions-1606.02421</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gossip-dual-averaging-for-decentralized-optimization-of-pairwise-functions-1606.02421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gossip-dual-averaging-for-decentralized-optimization-of-pairwise-functions-1606.02421"/></url>
<url><loc>https://scifaro.com/en/abs/a-locally-adaptive-normal-distribution-1606.02518</loc><lastmod>2016-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-locally-adaptive-normal-distribution-1606.02518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-locally-adaptive-normal-distribution-1606.02518"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-smoothed-concomitant-lasso-estimation-for-high-dimensional-regression-1606.02702</loc><lastmod>2017-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-smoothed-concomitant-lasso-estimation-for-high-dimensional-regression-1606.02702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-smoothed-concomitant-lasso-estimation-for-high-dimensional-regression-1606.02702"/></url>
<url><loc>https://scifaro.com/en/abs/variational-information-maximization-for-feature-selection-1606.02827</loc><lastmod>2016-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-information-maximization-for-feature-selection-1606.02827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-information-maximization-for-feature-selection-1606.02827"/></url>
<url><loc>https://scifaro.com/en/abs/causal-bandits-learning-good-interventions-via-causal-inference-1606.03203</loc><lastmod>2016-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-bandits-learning-good-interventions-via-causal-inference-1606.03203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-bandits-learning-good-interventions-via-causal-inference-1606.03203"/></url>
<url><loc>https://scifaro.com/en/abs/drug-response-prediction-by-inferring-pathway-response-associations-with-kernelized-bayesian-matrix-factorization-1606.03623</loc><lastmod>2016-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/drug-response-prediction-by-inferring-pathway-response-associations-with-kernelized-bayesian-matrix-factorization-1606.03623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/drug-response-prediction-by-inferring-pathway-response-associations-with-kernelized-bayesian-matrix-factorization-1606.03623"/></url>
<url><loc>https://scifaro.com/en/abs/robust-probabilistic-modeling-with-bayesian-data-reweighting-1606.03860</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-probabilistic-modeling-with-bayesian-data-reweighting-1606.03860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-probabilistic-modeling-with-bayesian-data-reweighting-1606.03860"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-performance-after-learning-in-gaussian-process-regression-1606.03865</loc><lastmod>2017-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-performance-after-learning-in-gaussian-process-regression-1606.03865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-performance-after-learning-in-gaussian-process-regression-1606.03865"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-individual-treatment-effect-generalization-bounds-and-algorithms-1606.03976</loc><lastmod>2017-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-individual-treatment-effect-generalization-bounds-and-algorithms-1606.03976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-individual-treatment-effect-generalization-bounds-and-algorithms-1606.03976"/></url>
<url><loc>https://scifaro.com/en/abs/modal-set-estimation-with-an-application-to-clustering-1606.04166</loc><lastmod>2017-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modal-set-estimation-with-an-application-to-clustering-1606.04166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modal-set-estimation-with-an-application-to-clustering-1606.04166"/></url>
<url><loc>https://scifaro.com/en/abs/time-for-a-change-a-tutorial-for-comparing-multiple-classifiers-through-bayesian-analysis-1606.04316</loc><lastmod>2017-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-for-a-change-a-tutorial-for-comparing-multiple-classifiers-through-bayesian-analysis-1606.04316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-for-a-change-a-tutorial-for-comparing-multiple-classifiers-through-bayesian-analysis-1606.04316"/></url>
<url><loc>https://scifaro.com/en/abs/calibration-of-phone-likelihoods-in-automatic-speech-recognition-1606.04317</loc><lastmod>2016-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibration-of-phone-likelihoods-in-automatic-speech-recognition-1606.04317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibration-of-phone-likelihoods-in-automatic-speech-recognition-1606.04317"/></url>
<url><loc>https://scifaro.com/en/abs/llfr-a-lanczos-based-latent-factor-recommender-for-big-data-scenarios-1606.04335</loc><lastmod>2016-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/llfr-a-lanczos-based-latent-factor-recommender-for-big-data-scenarios-1606.04335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/llfr-a-lanczos-based-latent-factor-recommender-for-big-data-scenarios-1606.04335"/></url>
<url><loc>https://scifaro.com/en/abs/recursive-nonlinear-system-identification-using-latent-variables-1606.04366</loc><lastmod>2018-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recursive-nonlinear-system-identification-using-latent-variables-1606.04366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recursive-nonlinear-system-identification-using-latent-variables-1606.04366"/></url>
<url><loc>https://scifaro.com/en/abs/the-parallel-knowledge-gradient-method-for-batch-bayesian-optimization-1606.04414</loc><lastmod>2018-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-parallel-knowledge-gradient-method-for-batch-bayesian-optimization-1606.04414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-parallel-knowledge-gradient-method-for-batch-bayesian-optimization-1606.04414"/></url>
<url><loc>https://scifaro.com/en/abs/a-scalable-end-to-end-gaussian-process-adapter-for-irregularly-sampled-time-series-classification-1606.04443</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-scalable-end-to-end-gaussian-process-adapter-for-irregularly-sampled-time-series-classification-1606.04443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-scalable-end-to-end-gaussian-process-adapter-for-irregularly-sampled-time-series-classification-1606.04443"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-neural-network-training-with-preconditioned-stochastic-gradient-descent-1606.04449</loc><lastmod>2016-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-neural-network-training-with-preconditioned-stochastic-gradient-descent-1606.04449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-neural-network-training-with-preconditioned-stochastic-gradient-descent-1606.04449"/></url>
<url><loc>https://scifaro.com/en/abs/model-free-episodic-control-1606.04460</loc><lastmod>2016-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-free-episodic-control-1606.04460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-free-episodic-control-1606.04460"/></url>
<url><loc>https://scifaro.com/en/abs/masking-strategies-for-image-manifolds-1606.04618</loc><lastmod>2016-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/masking-strategies-for-image-manifolds-1606.04618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/masking-strategies-for-image-manifolds-1606.04618"/></url>
<url><loc>https://scifaro.com/en/abs/network-maximal-correlation-1606.04789</loc><lastmod>2017-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-maximal-correlation-1606.04789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-maximal-correlation-1606.04789"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-probabilistic-sparse-gaussian-process-approximations-1606.04820</loc><lastmod>2017-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-probabilistic-sparse-gaussian-process-approximations-1606.04820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-probabilistic-sparse-gaussian-process-approximations-1606.04820"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-methods-for-large-scale-machine-learning-1606.04838</loc><lastmod>2018-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-methods-for-large-scale-machine-learning-1606.04838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-methods-for-large-scale-machine-learning-1606.04838"/></url>
<url><loc>https://scifaro.com/en/abs/logarithmic-time-one-against-some-1606.04988</loc><lastmod>2016-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logarithmic-time-one-against-some-1606.04988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logarithmic-time-one-against-some-1606.04988"/></url>
<url><loc>https://scifaro.com/en/abs/improving-power-generation-efficiency-using-deep-neural-networks-1606.05018</loc><lastmod>2016-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-power-generation-efficiency-using-deep-neural-networks-1606.05018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-power-generation-efficiency-using-deep-neural-networks-1606.05018"/></url>
<url><loc>https://scifaro.com/en/abs/learning-optimal-interventions-1606.05027</loc><lastmod>2017-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-optimal-interventions-1606.05027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-optimal-interventions-1606.05027"/></url>
<url><loc>https://scifaro.com/en/abs/pruning-random-forests-for-prediction-on-a-budget-1606.05060</loc><lastmod>2016-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pruning-random-forests-for-prediction-on-a-budget-1606.05060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pruning-random-forests-for-prediction-on-a-budget-1606.05060"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-across-cultures-modeling-the-adoption-of-financial-services-for-the-poor-1606.05105</loc><lastmod>2016-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-across-cultures-modeling-the-adoption-of-financial-services-for-the-poor-1606.05105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-across-cultures-modeling-the-adoption-of-financial-services-for-the-poor-1606.05105"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-meets-data-driven-journalism-boosting-international-understanding-and-transparency-in-news-coverage-1606.05110</loc><lastmod>2016-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-meets-data-driven-journalism-boosting-international-understanding-and-transparency-in-news-coverage-1606.05110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-meets-data-driven-journalism-boosting-international-understanding-and-transparency-in-news-coverage-1606.05110"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-and-tuning-brain-decoders-cross-validation-caveats-and-guidelines-1606.05201</loc><lastmod>2016-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-and-tuning-brain-decoders-cross-validation-caveats-and-guidelines-1606.05201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-and-tuning-brain-decoders-cross-validation-caveats-and-guidelines-1606.05201"/></url>
<url><loc>https://scifaro.com/en/abs/how-many-faces-can-be-recognized-performance-extrapolation-for-multi-class-classification-1606.05228</loc><lastmod>2016-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-many-faces-can-be-recognized-performance-extrapolation-for-multi-class-classification-1606.05228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-many-faces-can-be-recognized-performance-extrapolation-for-multi-class-classification-1606.05228"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-mutual-information-in-high-dimensions-via-classification-error-1606.05229</loc><lastmod>2016-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-mutual-information-in-high-dimensions-via-classification-error-1606.05229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-mutual-information-in-high-dimensions-via-classification-error-1606.05229"/></url>
<url><loc>https://scifaro.com/en/abs/the-mondrian-kernel-1606.05241</loc><lastmod>2016-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-mondrian-kernel-1606.05241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-mondrian-kernel-1606.05241"/></url>
<url><loc>https://scifaro.com/en/abs/the-effect-of-heteroscedasticity-on-regression-trees-1606.05273</loc><lastmod>2016-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-effect-of-heteroscedasticity-on-regression-trees-1606.05273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-effect-of-heteroscedasticity-on-regression-trees-1606.05273"/></url>
<url><loc>https://scifaro.com/en/abs/designing-intelligent-automation-based-solutions-for-complex-social-problems-1606.05275</loc><lastmod>2016-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/designing-intelligent-automation-based-solutions-for-complex-social-problems-1606.05275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/designing-intelligent-automation-based-solutions-for-complex-social-problems-1606.05275"/></url>
<url><loc>https://scifaro.com/en/abs/increasing-the-interpretability-of-recurrent-neural-networks-using-hidden-markov-models-1606.05320</loc><lastmod>2016-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/increasing-the-interpretability-of-recurrent-neural-networks-using-hidden-markov-models-1606.05320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/increasing-the-interpretability-of-recurrent-neural-networks-using-hidden-markov-models-1606.05320"/></url>
<url><loc>https://scifaro.com/en/abs/acdc-alpha-carving-decision-chain-for-risk-stratification-1606.05325</loc><lastmod>2016-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/acdc-alpha-carving-decision-chain-for-risk-stratification-1606.05325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/acdc-alpha-carving-decision-chain-for-risk-stratification-1606.05325"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-expressive-power-of-deep-neural-networks-1606.05336</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-expressive-power-of-deep-neural-networks-1606.05336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-expressive-power-of-deep-neural-networks-1606.05336"/></url>
<url><loc>https://scifaro.com/en/abs/exponential-expressivity-in-deep-neural-networks-through-transient-chaos-1606.05340</loc><lastmod>2016-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-expressivity-in-deep-neural-networks-through-transient-chaos-1606.05340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-expressivity-in-deep-neural-networks-through-transient-chaos-1606.05340"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-ambulance-demand-challenges-and-methods-1606.05363</loc><lastmod>2016-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-ambulance-demand-challenges-and-methods-1606.05363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-ambulance-demand-challenges-and-methods-1606.05363"/></url>
<url><loc>https://scifaro.com/en/abs/model-agnostic-interpretability-of-machine-learning-1606.05386</loc><lastmod>2016-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-agnostic-interpretability-of-machine-learning-1606.05386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-agnostic-interpretability-of-machine-learning-1606.05386"/></url>
<url><loc>https://scifaro.com/en/abs/making-tree-ensembles-interpretable-1606.05390</loc><lastmod>2016-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-tree-ensembles-interpretable-1606.05390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-tree-ensembles-interpretable-1606.05390"/></url>
<url><loc>https://scifaro.com/en/abs/psf-introduction-to-r-package-for-pattern-sequence-based-forecasting-algorithm-1606.05492</loc><lastmod>2020-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/psf-introduction-to-r-package-for-pattern-sequence-based-forecasting-algorithm-1606.05492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/psf-introduction-to-r-package-for-pattern-sequence-based-forecasting-algorithm-1606.05492"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-matrix-trace-using-machine-learning-1606.05560</loc><lastmod>2016-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-matrix-trace-using-machine-learning-1606.05560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-matrix-trace-using-machine-learning-1606.05560"/></url>
<url><loc>https://scifaro.com/en/abs/learning-interpretable-musical-compositional-rules-and-traces-1606.05572</loc><lastmod>2016-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-interpretable-musical-compositional-rules-and-traces-1606.05572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-interpretable-musical-compositional-rules-and-traces-1606.05572"/></url>
<url><loc>https://scifaro.com/en/abs/early-visual-concept-learning-with-unsupervised-deep-learning-1606.05579</loc><lastmod>2016-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-visual-concept-learning-with-unsupervised-deep-learning-1606.05579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-visual-concept-learning-with-unsupervised-deep-learning-1606.05579"/></url>
<url><loc>https://scifaro.com/en/abs/human-attention-in-visual-question-answering-do-humans-and-deep-networks-look-at-the-same-regions-1606.05589</loc><lastmod>2016-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-attention-in-visual-question-answering-do-humans-and-deep-networks-look-at-the-same-regions-1606.05589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-attention-in-visual-question-answering-do-humans-and-deep-networks-look-at-the-same-regions-1606.05589"/></url>
<url><loc>https://scifaro.com/en/abs/ground-truth-bias-in-external-cluster-validity-indices-1606.05596</loc><lastmod>2016-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ground-truth-bias-in-external-cluster-validity-indices-1606.05596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ground-truth-bias-in-external-cluster-validity-indices-1606.05596"/></url>
<url><loc>https://scifaro.com/en/abs/balancing-new-against-old-information-the-role-of-surprise-in-learning-1606.05642</loc><lastmod>2017-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balancing-new-against-old-information-the-role-of-surprise-in-learning-1606.05642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balancing-new-against-old-information-the-role-of-surprise-in-learning-1606.05642"/></url>
<url><loc>https://scifaro.com/en/abs/interpretability-in-linear-brain-decoding-1606.05672</loc><lastmod>2016-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretability-in-linear-brain-decoding-1606.05672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretability-in-linear-brain-decoding-1606.05672"/></url>
<url><loc>https://scifaro.com/en/abs/using-visual-analytics-to-interpret-predictive-machine-learning-models-1606.05685</loc><lastmod>2016-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-visual-analytics-to-interpret-predictive-machine-learning-models-1606.05685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-visual-analytics-to-interpret-predictive-machine-learning-models-1606.05685"/></url>
<url><loc>https://scifaro.com/en/abs/structured-stochastic-linear-bandits-1606.05693</loc><lastmod>2016-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-stochastic-linear-bandits-1606.05693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-stochastic-linear-bandits-1606.05693"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-two-level-boolean-rule-learning-for-classification-1606.05798</loc><lastmod>2016-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-two-level-boolean-rule-learning-for-classification-1606.05798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-two-level-boolean-rule-learning-for-classification-1606.05798"/></url>
<url><loc>https://scifaro.com/en/abs/building-an-interpretable-recommender-via-loss-preserving-transformation-1606.05819</loc><lastmod>2016-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-an-interpretable-recommender-via-loss-preserving-transformation-1606.05819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-an-interpretable-recommender-via-loss-preserving-transformation-1606.05819"/></url>
<url><loc>https://scifaro.com/en/abs/tight-performance-bounds-for-compressed-sensing-with-conventional-and-group-sparsity-1606.05889</loc><lastmod>2018-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-performance-bounds-for-compressed-sensing-with-conventional-and-group-sparsity-1606.05889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-performance-bounds-for-compressed-sensing-with-conventional-and-group-sparsity-1606.05889"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-with-a-reject-option-interactive-clustering-as-bayesian-prior-elicitation-1606.05896</loc><lastmod>2016-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-with-a-reject-option-interactive-clustering-as-bayesian-prior-elicitation-1606.05896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-with-a-reject-option-interactive-clustering-as-bayesian-prior-elicitation-1606.05896"/></url>
<url><loc>https://scifaro.com/en/abs/tutorial-on-variational-autoencoders-1606.05908</loc><lastmod>2021-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tutorial-on-variational-autoencoders-1606.05908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tutorial-on-variational-autoencoders-1606.05908"/></url>
<url><loc>https://scifaro.com/en/abs/graph-based-manifold-regularized-deep-neural-networks-for-automatic-speech-recognition-1606.05925</loc><lastmod>2016-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-based-manifold-regularized-deep-neural-networks-for-automatic-speech-recognition-1606.05925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-based-manifold-regularized-deep-neural-networks-for-automatic-speech-recognition-1606.05925"/></url>
<url><loc>https://scifaro.com/en/abs/online-and-differentially-private-tensor-decomposition-1606.06237</loc><lastmod>2016-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-and-differentially-private-tensor-decomposition-1606.06237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-and-differentially-private-tensor-decomposition-1606.06237"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-textual-models-with-in-text-and-word-as-pixel-highlighting-1606.06352</loc><lastmod>2016-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-textual-models-with-in-text-and-word-as-pixel-highlighting-1606.06352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-textual-models-with-in-text-and-word-as-pixel-highlighting-1606.06352"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-student-dropout-in-higher-education-1606.06364</loc><lastmod>2017-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-student-dropout-in-higher-education-1606.06364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-student-dropout-in-higher-education-1606.06364"/></url>
<url><loc>https://scifaro.com/en/abs/fsmj-feature-selection-with-maximum-jensen-shannon-divergence-for-text-categorization-1606.06366</loc><lastmod>2016-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fsmj-feature-selection-with-maximum-jensen-shannon-divergence-for-text-categorization-1606.06366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fsmj-feature-selection-with-maximum-jensen-shannon-divergence-for-text-categorization-1606.06366"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-based-generative-learning-in-distortion-feature-space-1606.06377</loc><lastmod>2016-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-based-generative-learning-in-distortion-feature-space-1606.06377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-based-generative-learning-in-distortion-feature-space-1606.06377"/></url>
<url><loc>https://scifaro.com/en/abs/social-sparsity-brain-decoders-faster-spatial-sparsity-1606.06439</loc><lastmod>2016-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/social-sparsity-brain-decoders-faster-spatial-sparsity-1606.06439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/social-sparsity-brain-decoders-faster-spatial-sparsity-1606.06439"/></url>
<url><loc>https://scifaro.com/en/abs/dealing-with-a-large-number-of-classes-likelihood-discrimination-or-ranking-1606.06959</loc><lastmod>2016-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dealing-with-a-large-number-of-classes-likelihood-discrimination-or-ranking-1606.06959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dealing-with-a-large-number-of-classes-likelihood-discrimination-or-ranking-1606.06959"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-uniqueness-and-stability-of-dictionaries-for-sparse-representation-of-noisy-signals-1606.06997</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-uniqueness-and-stability-of-dictionaries-for-sparse-representation-of-noisy-signals-1606.06997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-uniqueness-and-stability-of-dictionaries-for-sparse-representation-of-noisy-signals-1606.06997"/></url>
<url><loc>https://scifaro.com/en/abs/toward-interpretable-topic-discovery-via-anchored-correlation-explanation-1606.07043</loc><lastmod>2016-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-interpretable-topic-discovery-via-anchored-correlation-explanation-1606.07043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-interpretable-topic-discovery-via-anchored-correlation-explanation-1606.07043"/></url>
<url><loc>https://scifaro.com/en/abs/finite-sample-prediction-and-recovery-bounds-for-ordinal-embedding-1606.07081</loc><lastmod>2016-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-sample-prediction-and-recovery-bounds-for-ordinal-embedding-1606.07081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-sample-prediction-and-recovery-bounds-for-ordinal-embedding-1606.07081"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-dynamics-from-t-sne-to-semi-mdps-1606.07112</loc><lastmod>2016-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-dynamics-from-t-sne-to-semi-mdps-1606.07112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-dynamics-from-t-sne-to-semi-mdps-1606.07112"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-restricted-boltzmann-machines-for-collaborative-filtering-1606.07129</loc><lastmod>2016-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-restricted-boltzmann-machines-for-collaborative-filtering-1606.07129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-restricted-boltzmann-machines-for-collaborative-filtering-1606.07129"/></url>
<url><loc>https://scifaro.com/en/abs/fast-robustness-quantification-with-variational-bayes-1606.07153</loc><lastmod>2016-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-robustness-quantification-with-variational-bayes-1606.07153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-robustness-quantification-with-variational-bayes-1606.07153"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-machine-learning-models-for-the-digital-clock-drawing-test-1606.07163</loc><lastmod>2016-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-machine-learning-models-for-the-digital-clock-drawing-test-1606.07163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-machine-learning-models-for-the-digital-clock-drawing-test-1606.07163"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayesian-analysis-for-a-two-step-hierarchical-multiview-learning-approach-1606.07240</loc><lastmod>2017-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayesian-analysis-for-a-two-step-hierarchical-multiview-learning-approach-1606.07240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayesian-analysis-for-a-two-step-hierarchical-multiview-learning-approach-1606.07240"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-composition-of-melodies-with-deep-recurrent-neural-networks-1606.07251</loc><lastmod>2016-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-composition-of-melodies-with-deep-recurrent-neural-networks-1606.07251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-composition-of-melodies-with-deep-recurrent-neural-networks-1606.07251"/></url>
<url><loc>https://scifaro.com/en/abs/multiclass-feature-learning-for-hyperspectral-image-classification-sparse-and-hierarchical-solutions-1606.07279</loc><lastmod>2016-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiclass-feature-learning-for-hyperspectral-image-classification-sparse-and-hierarchical-solutions-1606.07279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiclass-feature-learning-for-hyperspectral-image-classification-sparse-and-hierarchical-solutions-1606.07279"/></url>
<url><loc>https://scifaro.com/en/abs/non-convex-regularization-in-remote-sensing-1606.07289</loc><lastmod>2016-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-convex-regularization-in-remote-sensing-1606.07289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-convex-regularization-in-remote-sensing-1606.07289"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-sgd-when-does-averaging-help-1606.07365</loc><lastmod>2016-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-sgd-when-does-averaging-help-1606.07365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-sgd-when-does-averaging-help-1606.07365"/></url>
<url><loc>https://scifaro.com/en/abs/multipartite-ranking-selection-of-low-dimensional-instances-by-supervised-projection-to-high-dimensional-space-1606.07575</loc><lastmod>2016-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multipartite-ranking-selection-of-low-dimensional-instances-by-supervised-projection-to-high-dimensional-space-1606.07575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multipartite-ranking-selection-of-low-dimensional-instances-by-supervised-projection-to-high-dimensional-space-1606.07575"/></url>
<url><loc>https://scifaro.com/en/abs/regression-trees-and-random-forest-based-feature-selection-for-malaria-risk-exposure-prediction-1606.07578</loc><lastmod>2016-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regression-trees-and-random-forest-based-feature-selection-for-malaria-risk-exposure-prediction-1606.07578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regression-trees-and-random-forest-based-feature-selection-for-malaria-risk-exposure-prediction-1606.07578"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-group-dynamics-using-probabilistic-tensor-decompositions-1606.07840</loc><lastmod>2016-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-group-dynamics-using-probabilistic-tensor-decompositions-1606.07840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-group-dynamics-using-probabilistic-tensor-decompositions-1606.07840"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-transparency-and-control-when-drawing-data-driven-inferences-about-individuals-1606.08063</loc><lastmod>2016-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-transparency-and-control-when-drawing-data-driven-inferences-about-individuals-1606.08063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-transparency-and-control-when-drawing-data-driven-inferences-about-individuals-1606.08063"/></url>
<url><loc>https://scifaro.com/en/abs/the-dependent-random-measures-with-independent-increments-in-mixture-models-1606.08105</loc><lastmod>2016-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-dependent-random-measures-with-independent-increments-in-mixture-models-1606.08105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-dependent-random-measures-with-independent-increments-in-mixture-models-1606.08105"/></url>
<url><loc>https://scifaro.com/en/abs/out-of-sample-extension-for-dimensionality-reduction-of-noisy-time-series-1606.08282</loc><lastmod>2017-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/out-of-sample-extension-for-dimensionality-reduction-of-noisy-time-series-1606.08282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/out-of-sample-extension-for-dimensionality-reduction-of-noisy-time-series-1606.08282"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-extracted-rules-from-ensemble-of-trees-application-to-computer-aided-diagnosis-of-breast-mri-1606.08288</loc><lastmod>2016-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-extracted-rules-from-ensemble-of-trees-application-to-computer-aided-diagnosis-of-breast-mri-1606.08288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-extracted-rules-from-ensemble-of-trees-application-to-computer-aided-diagnosis-of-breast-mri-1606.08288"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-in-video-with-bayesian-nonparametrics-1606.08455</loc><lastmod>2016-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-in-video-with-bayesian-nonparametrics-1606.08455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-in-video-with-bayesian-nonparametrics-1606.08455"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-hierarchical-dirichlet-process-for-abnormal-behaviour-detection-in-video-1606.08476</loc><lastmod>2016-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-hierarchical-dirichlet-process-for-abnormal-behaviour-detection-in-video-1606.08476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-hierarchical-dirichlet-process-for-abnormal-behaviour-detection-in-video-1606.08476"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-variational-abc-1606.08549</loc><lastmod>2016-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-variational-abc-1606.08549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-variational-abc-1606.08549"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-the-class-prior-and-posterior-from-noisy-positives-and-unlabeled-data-1606.08561</loc><lastmod>2017-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-the-class-prior-and-posterior-from-noisy-positives-and-unlabeled-data-1606.08561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-the-class-prior-and-posterior-from-noisy-positives-and-unlabeled-data-1606.08561"/></url>
<url><loc>https://scifaro.com/en/abs/alternating-back-propagation-for-generator-network-1606.08571</loc><lastmod>2016-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alternating-back-propagation-for-generator-network-1606.08571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alternating-back-propagation-for-generator-network-1606.08571"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-based-relational-unsupervised-representation-learning-with-an-explicit-distributed-representation-1606.08658</loc><lastmod>2017-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-based-relational-unsupervised-representation-learning-with-an-explicit-distributed-representation-1606.08658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-based-relational-unsupervised-representation-learning-with-an-explicit-distributed-representation-1606.08658"/></url>
<url><loc>https://scifaro.com/en/abs/theory-reconstruction-a-representation-learning-view-on-predicate-invention-1606.08660</loc><lastmod>2016-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theory-reconstruction-a-representation-learning-view-on-predicate-invention-1606.08660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theory-reconstruction-a-representation-learning-view-on-predicate-invention-1606.08660"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-industrial-admet-data-with-multitask-networks-1606.08793</loc><lastmod>2017-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-industrial-admet-data-with-multitask-networks-1606.08793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-industrial-admet-data-with-multitask-networks-1606.08793"/></url>
<url><loc>https://scifaro.com/en/abs/european-union-regulations-on-algorithmic-decision-making-and-a-right-to-explanation-1606.08813</loc><lastmod>2018-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/european-union-regulations-on-algorithmic-decision-making-and-a-right-to-explanation-1606.08813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/european-union-regulations-on-algorithmic-decision-making-and-a-right-to-explanation-1606.08813"/></url>
<url><loc>https://scifaro.com/en/abs/tracking-switched-dynamic-network-topologies-from-information-cascades-1606.08882</loc><lastmod>2016-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tracking-switched-dynamic-network-topologies-from-information-cascades-1606.08882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tracking-switched-dynamic-network-topologies-from-information-cascades-1606.08882"/></url>
<url><loc>https://scifaro.com/en/abs/alternating-estimation-for-structured-high-dimensional-multi-response-models-1606.08957</loc><lastmod>2016-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alternating-estimation-for-structured-high-dimensional-multi-response-models-1606.08957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alternating-estimation-for-structured-high-dimensional-multi-response-models-1606.08957"/></url>
<url><loc>https://scifaro.com/en/abs/making-tree-ensembles-interpretable-a-bayesian-model-selection-approach-1606.09066</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-tree-ensembles-interpretable-a-bayesian-model-selection-approach-1606.09066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-tree-ensembles-interpretable-a-bayesian-model-selection-approach-1606.09066"/></url>
<url><loc>https://scifaro.com/en/abs/disease-trajectory-maps-1606.09184</loc><lastmod>2016-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disease-trajectory-maps-1606.09184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disease-trajectory-maps-1606.09184"/></url>
<url><loc>https://scifaro.com/en/abs/a-semi-definite-programming-approach-to-low-dimensional-embedding-for-unsupervised-clustering-1606.09190</loc><lastmod>2016-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-semi-definite-programming-approach-to-low-dimensional-embedding-for-unsupervised-clustering-1606.09190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-semi-definite-programming-approach-to-low-dimensional-embedding-for-unsupervised-clustering-1606.09190"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotically-optimal-algorithms-for-budgeted-multiple-play-bandits-1606.09388</loc><lastmod>2019-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotically-optimal-algorithms-for-budgeted-multiple-play-bandits-1606.09388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotically-optimal-algorithms-for-budgeted-multiple-play-bandits-1606.09388"/></url>
<url><loc>https://scifaro.com/en/abs/a-model-explanation-system-latest-updates-and-extensions-1606.09517</loc><lastmod>2016-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-model-explanation-system-latest-updates-and-extensions-1606.09517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-model-explanation-system-latest-updates-and-extensions-1606.09517"/></url>
<url><loc>https://scifaro.com/en/abs/ballpark-learning-estimating-labels-from-rough-group-comparisons-1607.00034</loc><lastmod>2016-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ballpark-learning-estimating-labels-from-rough-group-comparisons-1607.00034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ballpark-learning-estimating-labels-from-rough-group-comparisons-1607.00034"/></url>
<url><loc>https://scifaro.com/en/abs/an-operator-theoretic-approach-to-nonparametric-mixture-models-1607.00071</loc><lastmod>2016-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-operator-theoretic-approach-to-nonparametric-mixture-models-1607.00071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-operator-theoretic-approach-to-nonparametric-mixture-models-1607.00071"/></url>
<url><loc>https://scifaro.com/en/abs/on-mixed-memberships-and-symmetric-nonnegative-matrix-factorizations-1607.00084</loc><lastmod>2017-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-mixed-memberships-and-symmetric-nonnegative-matrix-factorizations-1607.00084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-mixed-memberships-and-symmetric-nonnegative-matrix-factorizations-1607.00084"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-with-differential-privacy-1607.00133</loc><lastmod>2018-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-with-differential-privacy-1607.00133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-with-differential-privacy-1607.00133"/></url>
<url><loc>https://scifaro.com/en/abs/why-is-posterior-sampling-better-than-optimism-for-reinforcement-learning-1607.00215</loc><lastmod>2017-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-is-posterior-sampling-better-than-optimism-for-reinforcement-learning-1607.00215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-is-posterior-sampling-better-than-optimism-for-reinforcement-learning-1607.00215"/></url>
<url><loc>https://scifaro.com/en/abs/meaningful-models-utilizing-conceptual-structure-to-improve-machine-learning-interpretability-1607.00279</loc><lastmod>2016-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meaningful-models-utilizing-conceptual-structure-to-improve-machine-learning-interpretability-1607.00279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meaningful-models-utilizing-conceptual-structure-to-improve-machine-learning-interpretability-1607.00279"/></url>
<url><loc>https://scifaro.com/en/abs/group-sparse-regularization-for-deep-neural-networks-1607.00485</loc><lastmod>2017-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-sparse-regularization-for-deep-neural-networks-1607.00485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-sparse-regularization-for-deep-neural-networks-1607.00485"/></url>
<url><loc>https://scifaro.com/en/abs/rademacher-complexity-bounds-for-a-penalized-multiclass-semi-supervised-algorithm-1607.00567</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rademacher-complexity-bounds-for-a-penalized-multiclass-semi-supervised-algorithm-1607.00567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rademacher-complexity-bounds-for-a-penalized-multiclass-semi-supervised-algorithm-1607.00567"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-energy-and-precision-requirements-for-online-learning-1607.00669</loc><lastmod>2016-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-energy-and-precision-requirements-for-online-learning-1607.00669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-energy-and-precision-requirements-for-online-learning-1607.00669"/></url>
<url><loc>https://scifaro.com/en/abs/a-semi-supervised-learning-approach-to-enhance-health-care-community-based-question-answering-a-case-study-in-alcoholism-1607.00706</loc><lastmod>2016-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-semi-supervised-learning-approach-to-enhance-health-care-community-based-question-answering-a-case-study-in-alcoholism-1607.00706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-semi-supervised-learning-approach-to-enhance-health-care-community-based-question-answering-a-case-study-in-alcoholism-1607.00706"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-generation-of-probabilistic-programming-from-time-series-data-1607.00710</loc><lastmod>2016-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-generation-of-probabilistic-programming-from-time-series-data-1607.00710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-generation-of-probabilistic-programming-from-time-series-data-1607.00710"/></url>
<url><loc>https://scifaro.com/en/abs/bootstrap-model-aggregation-for-distributed-statistical-learning-1607.01036</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bootstrap-model-aggregation-for-distributed-statistical-learning-1607.01036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bootstrap-model-aggregation-for-distributed-statistical-learning-1607.01036"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-evaluate-the-quality-of-unsupervised-anomaly-detection-algorithms-1607.01152</loc><lastmod>2016-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-evaluate-the-quality-of-unsupervised-anomaly-detection-algorithms-1607.01152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-evaluate-the-quality-of-unsupervised-anomaly-detection-algorithms-1607.01152"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-antimicrobial-resistance-1607.01224</loc><lastmod>2016-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-antimicrobial-resistance-1607.01224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-antimicrobial-resistance-1607.01224"/></url>
<url><loc>https://scifaro.com/en/abs/mixtures-of-bivariate-von-mises-distributions-with-applications-to-modelling-of-protein-dihedral-angles-1607.01312</loc><lastmod>2016-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixtures-of-bivariate-von-mises-distributions-with-applications-to-modelling-of-protein-dihedral-angles-1607.01312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixtures-of-bivariate-von-mises-distributions-with-applications-to-modelling-of-protein-dihedral-angles-1607.01312"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-consistency-of-the-likelihood-maximization-vertex-nomination-scheme-bridging-the-gap-between-maximum-likelihood-estimation-and-graph-matching-1607.01369</loc><lastmod>2016-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-consistency-of-the-likelihood-maximization-vertex-nomination-scheme-bridging-the-gap-between-maximum-likelihood-estimation-and-graph-matching-1607.01369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-consistency-of-the-likelihood-maximization-vertex-nomination-scheme-bridging-the-gap-between-maximum-likelihood-estimation-and-graph-matching-1607.01369"/></url>
<url><loc>https://scifaro.com/en/abs/one-shot-session-recommendation-systems-with-combinatorial-items-1607.01381</loc><lastmod>2016-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-shot-session-recommendation-systems-with-combinatorial-items-1607.01381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-shot-session-recommendation-systems-with-combinatorial-items-1607.01381"/></url>
<url><loc>https://scifaro.com/en/abs/an-aggregate-and-iterative-disaggregate-algorithm-with-proven-optimality-in-machine-learning-1607.01400</loc><lastmod>2017-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-aggregate-and-iterative-disaggregate-algorithm-with-proven-optimality-in-machine-learning-1607.01400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-aggregate-and-iterative-disaggregate-algorithm-with-proven-optimality-in-machine-learning-1607.01400"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-for-generalized-cluster-wise-linear-regression-1607.01417</loc><lastmod>2017-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-for-generalized-cluster-wise-linear-regression-1607.01417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-for-generalized-cluster-wise-linear-regression-1607.01417"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimal-learning-method-for-developing-personalized-treatment-regimes-1607.01462</loc><lastmod>2016-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimal-learning-method-for-developing-personalized-treatment-regimes-1607.01462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimal-learning-method-for-developing-personalized-treatment-regimes-1607.01462"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-nonparametrics-for-sparse-dynamic-networks-1607.01624</loc><lastmod>2022-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-nonparametrics-for-sparse-dynamic-networks-1607.01624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-nonparametrics-for-sparse-dynamic-networks-1607.01624"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-decomposition-for-signal-processing-and-machine-learning-1607.01668</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-decomposition-for-signal-processing-and-machine-learning-1607.01668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-decomposition-for-signal-processing-and-machine-learning-1607.01668"/></url>
<url><loc>https://scifaro.com/en/abs/graphons-mergeons-and-so-on-1607.01718</loc><lastmod>2017-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphons-mergeons-and-so-on-1607.01718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphons-mergeons-and-so-on-1607.01718"/></url>
<url><loc>https://scifaro.com/en/abs/nesterov-s-accelerated-gradient-and-momentum-as-approximations-to-regularised-update-descent-1607.01981</loc><lastmod>2016-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nesterov-s-accelerated-gradient-and-momentum-as-approximations-to-regularised-update-descent-1607.01981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nesterov-s-accelerated-gradient-and-momentum-as-approximations-to-regularised-update-descent-1607.01981"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-bayesian-inference-with-posterior-regularization-1607.02011</loc><lastmod>2016-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-bayesian-inference-with-posterior-regularization-1607.02011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-bayesian-inference-with-posterior-regularization-1607.02011"/></url>
<url><loc>https://scifaro.com/en/abs/mini-batch-spectral-clustering-1607.02024</loc><lastmod>2016-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mini-batch-spectral-clustering-1607.02024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mini-batch-spectral-clustering-1607.02024"/></url>
<url><loc>https://scifaro.com/en/abs/a-classification-framework-for-partially-observed-dynamical-systems-1607.02085</loc><lastmod>2017-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-classification-framework-for-partially-observed-dynamical-systems-1607.02085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-classification-framework-for-partially-observed-dynamical-systems-1607.02085"/></url>
<url><loc>https://scifaro.com/en/abs/proceedings-of-the-2016-icml-workshop-on-data4good-machine-learning-in-social-good-applications-1607.02450</loc><lastmod>2016-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proceedings-of-the-2016-icml-workshop-on-data4good-machine-learning-in-social-good-applications-1607.02450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proceedings-of-the-2016-icml-workshop-on-data4good-machine-learning-in-social-good-applications-1607.02450"/></url>
<url><loc>https://scifaro.com/en/abs/proceedings-of-the-2016-icml-workshop-on-human-interpretability-in-machine-learning-whi-2016-1607.02531</loc><lastmod>2016-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proceedings-of-the-2016-icml-workshop-on-human-interpretability-in-machine-learning-whi-2016-1607.02531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proceedings-of-the-2016-icml-workshop-on-human-interpretability-in-machine-learning-whi-2016-1607.02531"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-additive-gaussian-process-with-soft-interactions-1607.02670</loc><lastmod>2016-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-additive-gaussian-process-with-soft-interactions-1607.02670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-additive-gaussian-process-with-soft-interactions-1607.02670"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-quantile-additive-regression-trees-1607.02676</loc><lastmod>2016-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-quantile-additive-regression-trees-1607.02676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-quantile-additive-regression-trees-1607.02676"/></url>
<url><loc>https://scifaro.com/en/abs/magnetic-hamiltonian-monte-carlo-1607.02738</loc><lastmod>2017-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/magnetic-hamiltonian-monte-carlo-1607.02738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/magnetic-hamiltonian-monte-carlo-1607.02738"/></url>
<url><loc>https://scifaro.com/en/abs/retrospective-causal-inference-with-machine-learning-ensembles-an-application-to-anti-recidivism-policies-in-colombia-1607.03026</loc><lastmod>2016-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/retrospective-causal-inference-with-machine-learning-ensembles-an-application-to-anti-recidivism-policies-in-colombia-1607.03026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/retrospective-causal-inference-with-machine-learning-ensembles-an-application-to-anti-recidivism-policies-in-colombia-1607.03026"/></url>
<url><loc>https://scifaro.com/en/abs/rapid-prediction-of-player-retention-in-free-to-play-mobile-games-1607.03202</loc><lastmod>2016-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapid-prediction-of-player-retention-in-free-to-play-mobile-games-1607.03202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapid-prediction-of-player-retention-in-free-to-play-mobile-games-1607.03202"/></url>
<url><loc>https://scifaro.com/en/abs/information-projection-and-approximate-inference-for-structured-sparse-variables-1607.03204</loc><lastmod>2016-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-projection-and-approximate-inference-for-structured-sparse-variables-1607.03204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-projection-and-approximate-inference-for-structured-sparse-variables-1607.03204"/></url>
<url><loc>https://scifaro.com/en/abs/from-dependence-to-causation-1607.03300</loc><lastmod>2016-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-dependence-to-causation-1607.03300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-dependence-to-causation-1607.03300"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-evolution-of-stationary-graph-signals-1607.03313</loc><lastmod>2016-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-evolution-of-stationary-graph-signals-1607.03313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-evolution-of-stationary-graph-signals-1607.03313"/></url>
<url><loc>https://scifaro.com/en/abs/nystrom-method-for-approximating-the-gmm-kernel-1607.03475</loc><lastmod>2016-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nystrom-method-for-approximating-the-gmm-kernel-1607.03475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nystrom-method-for-approximating-the-gmm-kernel-1607.03475"/></url>
<url><loc>https://scifaro.com/en/abs/effects-of-additional-data-on-bayesian-clustering-1607.03574</loc><lastmod>2017-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effects-of-additional-data-on-bayesian-clustering-1607.03574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effects-of-additional-data-on-bayesian-clustering-1607.03574"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-instance-logistic-regression-with-lasso-penalty-1607.03615</loc><lastmod>2016-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-instance-logistic-regression-with-lasso-penalty-1607.03615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-instance-logistic-regression-with-lasso-penalty-1607.03615"/></url>
<url><loc>https://scifaro.com/en/abs/learning-shallow-detection-cascades-for-wearable-sensor-based-mobile-health-applications-1607.03730</loc><lastmod>2016-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-shallow-detection-cascades-for-wearable-sensor-based-mobile-health-applications-1607.03730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-shallow-detection-cascades-for-wearable-sensor-based-mobile-health-applications-1607.03730"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-density-estimation-for-dynamical-systems-1607.03792</loc><lastmod>2016-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-density-estimation-for-dynamical-systems-1607.03792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-density-estimation-for-dynamical-systems-1607.03792"/></url>
<url><loc>https://scifaro.com/en/abs/feature-extraction-and-automated-classification-of-heartbeats-by-machine-learning-1607.03822</loc><lastmod>2016-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-extraction-and-automated-classification-of-heartbeats-by-machine-learning-1607.03822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-extraction-and-automated-classification-of-heartbeats-by-machine-learning-1607.03822"/></url>
<url><loc>https://scifaro.com/en/abs/safe-policy-improvement-by-minimizing-robust-baseline-regret-1607.03842</loc><lastmod>2016-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-policy-improvement-by-minimizing-robust-baseline-regret-1607.03842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-policy-improvement-by-minimizing-robust-baseline-regret-1607.03842"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-and-controlling-the-false-discovery-rate-for-the-pc-algorithm-using-edge-specific-p-values-1607.03975</loc><lastmod>2017-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-and-controlling-the-false-discovery-rate-for-the-pc-algorithm-using-edge-specific-p-values-1607.03975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-and-controlling-the-false-discovery-rate-for-the-pc-algorithm-using-edge-specific-p-values-1607.03975"/></url>
<url><loc>https://scifaro.com/en/abs/random-projections-of-random-manifolds-1607.04331</loc><lastmod>2016-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-projections-of-random-manifolds-1607.04331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-projections-of-random-manifolds-1607.04331"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-echolocation-via-the-wave-embedding-1607.04566</loc><lastmod>2016-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-echolocation-via-the-wave-embedding-1607.04566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-echolocation-via-the-wave-embedding-1607.04566"/></url>
<url><loc>https://scifaro.com/en/abs/learning-unitary-operators-with-help-from-u-n-1607.04903</loc><lastmod>2017-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-unitary-operators-with-help-from-u-n-1607.04903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-unitary-operators-with-help-from-u-n-1607.04903"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-mean-metric-learning-1607.05002</loc><lastmod>2016-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-mean-metric-learning-1607.05002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-mean-metric-learning-1607.05002"/></url>
<url><loc>https://scifaro.com/en/abs/a-batch-off-policy-actor-critic-algorithm-for-optimizing-the-average-reward-1607.05047</loc><lastmod>2016-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-batch-off-policy-actor-critic-algorithm-for-optimizing-the-average-reward-1607.05047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-batch-off-policy-actor-critic-algorithm-for-optimizing-the-average-reward-1607.05047"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-application-of-support-vector-machines-to-the-prediction-of-propagation-losses-at-169-mhz-for-smart-metering-applications-1607.05154</loc><lastmod>2016-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-application-of-support-vector-machines-to-the-prediction-of-propagation-losses-at-169-mhz-for-smart-metering-applications-1607.05154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-application-of-support-vector-machines-to-the-prediction-of-propagation-losses-at-169-mhz-for-smart-metering-applications-1607.05154"/></url>
<url><loc>https://scifaro.com/en/abs/nested-kriging-predictions-for-datasets-with-large-number-of-observations-1607.05432</loc><lastmod>2017-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nested-kriging-predictions-for-datasets-with-large-number-of-observations-1607.05432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nested-kriging-predictions-for-datasets-with-large-number-of-observations-1607.05432"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-dependent-concentration-inequalities-for-tighter-generalization-bounds-1607.05506</loc><lastmod>2017-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-dependent-concentration-inequalities-for-tighter-generalization-bounds-1607.05506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-dependent-concentration-inequalities-for-tighter-generalization-bounds-1607.05506"/></url>
<url><loc>https://scifaro.com/en/abs/personalization-effect-on-emotion-recognition-from-physiological-data-an-investigation-of-performance-on-different-setups-and-classifiers-1607.05832</loc><lastmod>2016-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalization-effect-on-emotion-recognition-from-physiological-data-an-investigation-of-performance-on-different-setups-and-classifiers-1607.05832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalization-effect-on-emotion-recognition-from-physiological-data-an-investigation-of-performance-on-different-setups-and-classifiers-1607.05832"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-identification-and-mitigation-of-weaknesses-in-the-knowledge-gradient-policy-for-multi-armed-bandits-1607.05970</loc><lastmod>2017-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-identification-and-mitigation-of-weaknesses-in-the-knowledge-gradient-policy-for-multi-armed-bandits-1607.05970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-identification-and-mitigation-of-weaknesses-in-the-knowledge-gradient-policy-for-multi-armed-bandits-1607.05970"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-and-localisation-using-mixed-graphical-models-1607.05974</loc><lastmod>2016-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-and-localisation-using-mixed-graphical-models-1607.05974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-and-localisation-using-mixed-graphical-models-1607.05974"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-classification-models-built-on-high-dimensional-sparse-data-1607.06280</loc><lastmod>2016-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-classification-models-built-on-high-dimensional-sparse-data-1607.06280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-classification-models-built-on-high-dimensional-sparse-data-1607.06280"/></url>
<url><loc>https://scifaro.com/en/abs/uncovering-causality-from-multivariate-hawkes-integrated-cumulants-1607.06333</loc><lastmod>2017-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncovering-causality-from-multivariate-hawkes-integrated-cumulants-1607.06333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncovering-causality-from-multivariate-hawkes-integrated-cumulants-1607.06333"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-supervised-learning-using-neural-networks-1607.06364</loc><lastmod>2016-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-supervised-learning-using-neural-networks-1607.06364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-supervised-learning-using-neural-networks-1607.06364"/></url>
<url><loc>https://scifaro.com/en/abs/layer-normalization-1607.06450</loc><lastmod>2016-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/layer-normalization-1607.06450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/layer-normalization-1607.06450"/></url>
<url><loc>https://scifaro.com/en/abs/the-landscape-of-empirical-risk-for-non-convex-losses-1607.06534</loc><lastmod>2017-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-landscape-of-empirical-risk-for-non-convex-losses-1607.06534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-landscape-of-empirical-risk-for-non-convex-losses-1607.06534"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-up-sparse-support-vector-machines-by-simultaneous-feature-and-sample-reduction-1607.06996</loc><lastmod>2019-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-up-sparse-support-vector-machines-by-simultaneous-feature-and-sample-reduction-1607.06996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-up-sparse-support-vector-machines-by-simultaneous-feature-and-sample-reduction-1607.06996"/></url>
<url><loc>https://scifaro.com/en/abs/higher-order-factorization-machines-1607.07195</loc><lastmod>2016-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/higher-order-factorization-machines-1607.07195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/higher-order-factorization-machines-1607.07195"/></url>
<url><loc>https://scifaro.com/en/abs/deepr-a-convolutional-net-for-medical-records-1607.07519</loc><lastmod>2016-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepr-a-convolutional-net-for-medical-records-1607.07519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepr-a-convolutional-net-for-medical-records-1607.07519"/></url>
<url><loc>https://scifaro.com/en/abs/variational-mixture-models-with-gamma-or-inverse-gamma-components-1607.07573</loc><lastmod>2016-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-mixture-models-with-gamma-or-inverse-gamma-components-1607.07573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-mixture-models-with-gamma-or-inverse-gamma-components-1607.07573"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-by-combinations-of-relu-and-squared-relu-ridge-functions-with-ell-1-and-ell-0-controls-1607.07819</loc><lastmod>2018-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-by-combinations-of-relu-and-squared-relu-ridge-functions-with-ell-1-and-ell-0-controls-1607.07819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-by-combinations-of-relu-and-squared-relu-ridge-functions-with-ell-1-and-ell-0-controls-1607.07819"/></url>
<url><loc>https://scifaro.com/en/abs/algcomparison-comparing-the-performance-of-graphical-structure-learning-algorithms-with-tetrad-1607.08110</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algcomparison-comparing-the-performance-of-graphical-structure-learning-algorithms-with-tetrad-1607.08110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algcomparison-comparing-the-performance-of-graphical-structure-learning-algorithms-with-tetrad-1607.08110"/></url>
<url><loc>https://scifaro.com/en/abs/network-guided-biomarker-discovery-1607.08161</loc><lastmod>2016-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-guided-biomarker-discovery-1607.08161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-guided-biomarker-discovery-1607.08161"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-neural-networks-analyzed-via-convolutional-sparse-coding-1607.08194</loc><lastmod>2017-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-neural-networks-analyzed-via-convolutional-sparse-coding-1607.08194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-neural-networks-analyzed-via-convolutional-sparse-coding-1607.08194"/></url>
<url><loc>https://scifaro.com/en/abs/preterm-birth-prediction-deriving-stable-and-interpretable-rules-from-high-dimensional-data-1607.08310</loc><lastmod>2016-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preterm-birth-prediction-deriving-stable-and-interpretable-rules-from-high-dimensional-data-1607.08310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preterm-birth-prediction-deriving-stable-and-interpretable-rules-from-high-dimensional-data-1607.08310"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-functions-based-on-triplet-comparisons-1607.08456</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-functions-based-on-triplet-comparisons-1607.08456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-functions-based-on-triplet-comparisons-1607.08456"/></url>
<url><loc>https://scifaro.com/en/abs/limit-theorems-for-eigenvectors-of-the-normalized-laplacian-for-random-graphs-1607.08601</loc><lastmod>2016-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/limit-theorems-for-eigenvectors-of-the-normalized-laplacian-for-random-graphs-1607.08601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/limit-theorems-for-eigenvectors-of-the-normalized-laplacian-for-random-graphs-1607.08601"/></url>
<url><loc>https://scifaro.com/en/abs/polynomial-networks-and-factorization-machines-new-insights-and-efficient-training-algorithms-1607.08810</loc><lastmod>2016-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/polynomial-networks-and-factorization-machines-new-insights-and-efficient-training-algorithms-1607.08810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/polynomial-networks-and-factorization-machines-new-insights-and-efficient-training-algorithms-1607.08810"/></url>
<url><loc>https://scifaro.com/en/abs/the-phylogenetic-lasso-and-the-microbiome-1607.08877</loc><lastmod>2016-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-phylogenetic-lasso-and-the-microbiome-1607.08877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-phylogenetic-lasso-and-the-microbiome-1607.08877"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-functional-neural-connectivity-as-an-indicator-of-cognitive-performance-1607.08891</loc><lastmod>2016-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-functional-neural-connectivity-as-an-indicator-of-cognitive-performance-1607.08891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-functional-neural-connectivity-as-an-indicator-of-cognitive-performance-1607.08891"/></url>
<url><loc>https://scifaro.com/en/abs/glop-the-global-and-local-penalty-for-capturing-predictive-heterogeneity-1608.00027</loc><lastmod>2016-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/glop-the-global-and-local-penalty-for-capturing-predictive-heterogeneity-1608.00027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/glop-the-global-and-local-penalty-for-capturing-predictive-heterogeneity-1608.00027"/></url>
<url><loc>https://scifaro.com/en/abs/double-debiased-machine-learning-for-treatment-and-causal-parameters-1608.00060</loc><lastmod>2024-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/double-debiased-machine-learning-for-treatment-and-causal-parameters-1608.00060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/double-debiased-machine-learning-for-treatment-and-causal-parameters-1608.00060"/></url>
<url><loc>https://scifaro.com/en/abs/online-nonnegative-matrix-factorization-with-general-divergences-1608.00075</loc><lastmod>2016-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-nonnegative-matrix-factorization-with-general-divergences-1608.00075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-nonnegative-matrix-factorization-with-general-divergences-1608.00075"/></url>
<url><loc>https://scifaro.com/en/abs/learning-tree-structured-detection-cascades-for-heterogeneous-networks-of-embedded-devices-1608.00159</loc><lastmod>2017-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-tree-structured-detection-cascades-for-heterogeneous-networks-of-embedded-devices-1608.00159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-tree-structured-detection-cascades-for-heterogeneous-networks-of-embedded-devices-1608.00159"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-risk-sensitive-loss-definition-properties-and-application-to-robust-adaptive-filtering-1608.00441</loc><lastmod>2017-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-risk-sensitive-loss-definition-properties-and-application-to-robust-adaptive-filtering-1608.00441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-risk-sensitive-loss-definition-properties-and-application-to-robust-adaptive-filtering-1608.00441"/></url>
<url><loc>https://scifaro.com/en/abs/clinical-tagging-with-joint-probabilistic-models-1608.00686</loc><lastmod>2016-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clinical-tagging-with-joint-probabilistic-models-1608.00686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clinical-tagging-with-joint-probabilistic-models-1608.00686"/></url>
<url><loc>https://scifaro.com/en/abs/identifiable-phenotyping-using-constrained-non-negative-matrix-factorization-1608.00704</loc><lastmod>2016-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifiable-phenotyping-using-constrained-non-negative-matrix-factorization-1608.00704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifiable-phenotyping-using-constrained-non-negative-matrix-factorization-1608.00704"/></url>
<url><loc>https://scifaro.com/en/abs/exponential-family-embeddings-1608.00778</loc><lastmod>2016-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-family-embeddings-1608.00778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-family-embeddings-1608.00778"/></url>
<url><loc>https://scifaro.com/en/abs/relational-similarity-machines-1608.00876</loc><lastmod>2016-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relational-similarity-machines-1608.00876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relational-similarity-machines-1608.00876"/></url>
<url><loc>https://scifaro.com/en/abs/fast-mixing-markov-chains-for-strongly-rayleigh-measures-dpps-and-constrained-sampling-1608.01008</loc><lastmod>2017-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-mixing-markov-chains-for-strongly-rayleigh-measures-dpps-and-constrained-sampling-1608.01008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-mixing-markov-chains-for-strongly-rayleigh-measures-dpps-and-constrained-sampling-1608.01008"/></url>
<url><loc>https://scifaro.com/en/abs/a-supermartingale-approach-to-gaussian-process-based-sequential-design-of-experiments-1608.01118</loc><lastmod>2018-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-supermartingale-approach-to-gaussian-process-based-sequential-design-of-experiments-1608.01118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-supermartingale-approach-to-gaussian-process-based-sequential-design-of-experiments-1608.01118"/></url>
<url><loc>https://scifaro.com/en/abs/fast-algorithms-for-demixing-sparse-signals-from-nonlinear-observations-1608.01234</loc><lastmod>2017-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-algorithms-for-demixing-sparse-signals-from-nonlinear-observations-1608.01234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-algorithms-for-demixing-sparse-signals-from-nonlinear-observations-1608.01234"/></url>
<url><loc>https://scifaro.com/en/abs/a-multivariate-hawkes-process-with-gaps-in-observations-1608.01282</loc><lastmod>2017-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multivariate-hawkes-process-with-gaps-in-observations-1608.01282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multivariate-hawkes-process-with-gaps-in-observations-1608.01282"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-hard-thresholding-for-model-selection-in-genome-wide-association-studies-1608.01398</loc><lastmod>2019-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-hard-thresholding-for-model-selection-in-genome-wide-association-studies-1608.01398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-hard-thresholding-for-model-selection-in-genome-wide-association-studies-1608.01398"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-ridge-regression-via-partitioning-1608.01976</loc><lastmod>2016-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-ridge-regression-via-partitioning-1608.01976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-ridge-regression-via-partitioning-1608.01976"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-diffusion-lmp-algorithm-for-distributed-estimation-in-non-uniform-noise-conditions-1608.02060</loc><lastmod>2016-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-diffusion-lmp-algorithm-for-distributed-estimation-in-non-uniform-noise-conditions-1608.02060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-diffusion-lmp-algorithm-for-distributed-estimation-in-non-uniform-noise-conditions-1608.02060"/></url>
<url><loc>https://scifaro.com/en/abs/deep-survival-analysis-1608.02158</loc><lastmod>2016-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-survival-analysis-1608.02158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-survival-analysis-1608.02158"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-learning-of-dynamic-multilayer-networks-1608.02209</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-learning-of-dynamic-multilayer-networks-1608.02209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-learning-of-dynamic-multilayer-networks-1608.02209"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-guarantees-for-estimating-the-centers-of-a-two-component-gaussian-mixture-by-em-1608.02280</loc><lastmod>2016-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-guarantees-for-estimating-the-centers-of-a-two-component-gaussian-mixture-by-em-1608.02280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-guarantees-for-estimating-the-centers-of-a-two-component-gaussian-mixture-by-em-1608.02280"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-as-a-kernel-based-method-1608.02485</loc><lastmod>2017-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-as-a-kernel-based-method-1608.02485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-as-a-kernel-based-method-1608.02485"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-requirements-and-accelerated-schemes-for-sparse-linear-regression-with-orthogonal-least-squares-1608.02549</loc><lastmod>2018-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-requirements-and-accelerated-schemes-for-sparse-linear-regression-with-orthogonal-least-squares-1608.02549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-requirements-and-accelerated-schemes-for-sparse-linear-regression-with-orthogonal-least-squares-1608.02549"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-recovery-via-orthogonal-least-squares-under-presence-of-noise-1608.02554</loc><lastmod>2016-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-recovery-via-orthogonal-least-squares-under-presence-of-noise-1608.02554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-recovery-via-orthogonal-least-squares-under-presence-of-noise-1608.02554"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-causality-inference-in-memory-less-transition-networks-1608.02658</loc><lastmod>2016-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-causality-inference-in-memory-less-transition-networks-1608.02658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-causality-inference-in-memory-less-transition-networks-1608.02658"/></url>
<url><loc>https://scifaro.com/en/abs/posterior-sampling-for-reinforcement-learning-without-episodes-1608.02731</loc><lastmod>2016-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/posterior-sampling-for-reinforcement-learning-without-episodes-1608.02731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/posterior-sampling-for-reinforcement-learning-without-episodes-1608.02731"/></url>
<url><loc>https://scifaro.com/en/abs/on-lower-bounds-for-regret-in-reinforcement-learning-1608.02732</loc><lastmod>2016-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-lower-bounds-for-regret-in-reinforcement-learning-1608.02732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-lower-bounds-for-regret-in-reinforcement-learning-1608.02732"/></url>
<url><loc>https://scifaro.com/en/abs/classification-with-the-pot-pot-plot-1608.02861</loc><lastmod>2017-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-with-the-pot-pot-plot-1608.02861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-with-the-pot-pot-plot-1608.02861"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-from-indirect-supervision-with-linear-moments-1608.03100</loc><lastmod>2016-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-from-indirect-supervision-with-linear-moments-1608.03100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-from-indirect-supervision-with-linear-moments-1608.03100"/></url>
<url><loc>https://scifaro.com/en/abs/sequence-graph-transform-sgt-a-feature-embedding-function-for-sequence-data-mining-1608.03533</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequence-graph-transform-sgt-a-feature-embedding-function-for-sequence-data-mining-1608.03533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequence-graph-transform-sgt-a-feature-embedding-function-for-sequence-data-mining-1608.03533"/></url>
<url><loc>https://scifaro.com/en/abs/warm-starting-bayesian-optimization-1608.03585</loc><lastmod>2016-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/warm-starting-bayesian-optimization-1608.03585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/warm-starting-bayesian-optimization-1608.03585"/></url>
<url><loc>https://scifaro.com/en/abs/faster-training-of-very-deep-networks-via-p-norm-gates-1608.03639</loc><lastmod>2016-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-training-of-very-deep-networks-via-p-norm-gates-1608.03639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-training-of-very-deep-networks-via-p-norm-gates-1608.03639"/></url>
<url><loc>https://scifaro.com/en/abs/content-based-image-retrieval-tutorial-1608.03811</loc><lastmod>2016-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/content-based-image-retrieval-tutorial-1608.03811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/content-based-image-retrieval-tutorial-1608.03811"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-factorial-hidden-markov-models-stochastic-variational-inference-without-messages-1608.03817</loc><lastmod>2016-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-factorial-hidden-markov-models-stochastic-variational-inference-without-messages-1608.03817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-factorial-hidden-markov-models-stochastic-variational-inference-without-messages-1608.03817"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-fully-convolutional-neural-networks-for-multi-slice-mri-cardiac-segmentation-1608.03974</loc><lastmod>2016-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-fully-convolutional-neural-networks-for-multi-slice-mri-cardiac-segmentation-1608.03974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-fully-convolutional-neural-networks-for-multi-slice-mri-cardiac-segmentation-1608.03974"/></url>
<url><loc>https://scifaro.com/en/abs/ultra-high-dimensional-nonlinear-feature-selection-for-big-biological-data-1608.04048</loc><lastmod>2016-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ultra-high-dimensional-nonlinear-feature-selection-for-big-biological-data-1608.04048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ultra-high-dimensional-nonlinear-feature-selection-for-big-biological-data-1608.04048"/></url>
<url><loc>https://scifaro.com/en/abs/the-bayesian-low-rank-determinantal-point-process-mixture-model-1608.04245</loc><lastmod>2016-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-bayesian-low-rank-determinantal-point-process-mixture-model-1608.04245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-bayesian-low-rank-determinantal-point-process-mixture-model-1608.04245"/></url>
<url><loc>https://scifaro.com/en/abs/robust-volume-minimization-based-matrix-factorization-for-remote-sensing-and-document-clustering-1608.04290</loc><lastmod>2016-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-volume-minimization-based-matrix-factorization-for-remote-sensing-and-document-clustering-1608.04290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-volume-minimization-based-matrix-factorization-for-remote-sensing-and-document-clustering-1608.04290"/></url>
<url><loc>https://scifaro.com/en/abs/a-geometric-framework-for-convolutional-neural-networks-1608.04374</loc><lastmod>2016-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-geometric-framework-for-convolutional-neural-networks-1608.04374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-geometric-framework-for-convolutional-neural-networks-1608.04374"/></url>
<url><loc>https://scifaro.com/en/abs/stein-variational-gradient-descent-a-general-purpose-bayesian-inference-algorithm-1608.04471</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stein-variational-gradient-descent-a-general-purpose-bayesian-inference-algorithm-1608.04471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stein-variational-gradient-descent-a-general-purpose-bayesian-inference-algorithm-1608.04471"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-modeling-of-multivariate-longitudinal-data-for-prediction-of-chronic-kidney-disease-progression-1608.04615</loc><lastmod>2016-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-modeling-of-multivariate-longitudinal-data-for-prediction-of-chronic-kidney-disease-progression-1608.04615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-modeling-of-multivariate-longitudinal-data-for-prediction-of-chronic-kidney-disease-progression-1608.04615"/></url>
<url><loc>https://scifaro.com/en/abs/enabling-factor-analysis-on-thousand-subject-neuroimaging-datasets-1608.04647</loc><lastmod>2018-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enabling-factor-analysis-on-thousand-subject-neuroimaging-datasets-1608.04647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enabling-factor-analysis-on-thousand-subject-neuroimaging-datasets-1608.04647"/></url>
<url><loc>https://scifaro.com/en/abs/variational-gaussian-process-auto-encoder-for-ordinal-prediction-of-facial-action-units-1608.04664</loc><lastmod>2016-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-gaussian-process-auto-encoder-for-ordinal-prediction-of-facial-action-units-1608.04664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-gaussian-process-auto-encoder-for-ordinal-prediction-of-facial-action-units-1608.04664"/></url>
<url><loc>https://scifaro.com/en/abs/shape-constrained-tensor-decompositions-using-sparse-representations-in-over-complete-libraries-1608.04674</loc><lastmod>2016-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shape-constrained-tensor-decompositions-using-sparse-representations-in-over-complete-libraries-1608.04674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shape-constrained-tensor-decompositions-using-sparse-representations-in-over-complete-libraries-1608.04674"/></url>
<url><loc>https://scifaro.com/en/abs/faster-principal-component-regression-and-stable-matrix-chebyshev-approximation-1608.04773</loc><lastmod>2017-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-principal-component-regression-and-stable-matrix-chebyshev-approximation-1608.04773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-principal-component-regression-and-stable-matrix-chebyshev-approximation-1608.04773"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-learning-of-non-decomposable-objectives-1608.04802</loc><lastmod>2017-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-learning-of-non-decomposable-objectives-1608.04802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-learning-of-non-decomposable-objectives-1608.04802"/></url>
<url><loc>https://scifaro.com/en/abs/outlier-detection-on-mixed-type-data-an-energy-based-approach-1608.04830</loc><lastmod>2016-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outlier-detection-on-mixed-type-data-an-energy-based-approach-1608.04830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outlier-detection-on-mixed-type-data-an-energy-based-approach-1608.04830"/></url>
<url><loc>https://scifaro.com/en/abs/a-convolutional-autoencoder-for-multi-subject-fmri-data-aggregation-1608.04846</loc><lastmod>2016-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convolutional-autoencoder-for-multi-subject-fmri-data-aggregation-1608.04846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convolutional-autoencoder-for-multi-subject-fmri-data-aggregation-1608.04846"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-mixed-datasets-using-homogeneity-analysis-with-applications-to-big-data-1608.04961</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-mixed-datasets-using-homogeneity-analysis-with-applications-to-big-data-1608.04961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-mixed-datasets-using-homogeneity-analysis-with-applications-to-big-data-1608.04961"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-learning-for-log-supermodular-distributions-1608.05258</loc><lastmod>2016-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-learning-for-log-supermodular-distributions-1608.05258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-learning-for-log-supermodular-distributions-1608.05258"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-feature-selection-based-on-the-morisita-estimator-of-intrinsic-dimension-1608.05581</loc><lastmod>2017-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-feature-selection-based-on-the-morisita-estimator-of-intrinsic-dimension-1608.05581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-feature-selection-based-on-the-morisita-estimator-of-intrinsic-dimension-1608.05581"/></url>
<url><loc>https://scifaro.com/en/abs/space-filling-curves-as-a-novel-crystal-structure-representation-for-machine-learning-models-1608.05747</loc><lastmod>2016-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/space-filling-curves-as-a-novel-crystal-structure-representation-for-machine-learning-models-1608.05747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/space-filling-curves-as-a-novel-crystal-structure-representation-for-machine-learning-models-1608.05747"/></url>
<url><loc>https://scifaro.com/en/abs/mining-of-health-and-disease-events-on-twitter-validating-search-protocols-within-the-setting-of-indonesia-1608.05910</loc><lastmod>2017-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mining-of-health-and-disease-events-on-twitter-validating-search-protocols-within-the-setting-of-indonesia-1608.05910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mining-of-health-and-disease-events-on-twitter-validating-search-protocols-within-the-setting-of-indonesia-1608.05910"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-knowledge-graph-construction-compositional-and-incremental-approaches-1608.05921</loc><lastmod>2016-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-knowledge-graph-construction-compositional-and-incremental-approaches-1608.05921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-knowledge-graph-construction-compositional-and-incremental-approaches-1608.05921"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-modeling-of-oil-exploration-areas-using-neural-networks-and-anfis-in-gis-1608.05934</loc><lastmod>2016-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-modeling-of-oil-exploration-areas-using-neural-networks-and-anfis-in-gis-1608.05934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-modeling-of-oil-exploration-areas-using-neural-networks-and-anfis-in-gis-1608.05934"/></url>
<url><loc>https://scifaro.com/en/abs/a-non-convex-one-pass-framework-for-generalized-factorization-machine-and-rank-one-matrix-sensing-1608.05995</loc><lastmod>2016-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-non-convex-one-pass-framework-for-generalized-factorization-machine-and-rank-one-matrix-sensing-1608.05995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-non-convex-one-pass-framework-for-generalized-factorization-machine-and-rank-one-matrix-sensing-1608.05995"/></url>
<url><loc>https://scifaro.com/en/abs/softplus-regressions-and-convex-polytopes-1608.06383</loc><lastmod>2016-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/softplus-regressions-and-convex-polytopes-1608.06383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/softplus-regressions-and-convex-polytopes-1608.06383"/></url>
<url><loc>https://scifaro.com/en/abs/stability-revisited-new-generalisation-bounds-for-the-leave-one-out-1608.06412</loc><lastmod>2016-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-revisited-new-generalisation-bounds-for-the-leave-one-out-1608.06412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-revisited-new-generalisation-bounds-for-the-leave-one-out-1608.06412"/></url>
<url><loc>https://scifaro.com/en/abs/the-discriminative-kalman-filter-for-nonlinear-and-non-gaussian-sequential-bayesian-filtering-1608.06622</loc><lastmod>2016-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-discriminative-kalman-filter-for-nonlinear-and-non-gaussian-sequential-bayesian-filtering-1608.06622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-discriminative-kalman-filter-for-nonlinear-and-non-gaussian-sequential-bayesian-filtering-1608.06622"/></url>
<url><loc>https://scifaro.com/en/abs/towards-bayesian-deep-learning-a-framework-and-some-existing-methods-1608.06884</loc><lastmod>2016-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-bayesian-deep-learning-a-framework-and-some-existing-methods-1608.06884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-bayesian-deep-learning-a-framework-and-some-existing-methods-1608.06884"/></url>
<url><loc>https://scifaro.com/en/abs/formal-concept-analysis-of-rodent-carriers-of-zoonotic-disease-1608.07241</loc><lastmod>2016-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/formal-concept-analysis-of-rodent-carriers-of-zoonotic-disease-1608.07241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/formal-concept-analysis-of-rodent-carriers-of-zoonotic-disease-1608.07241"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-the-number-of-clusters-via-normalized-cluster-instability-1608.07494</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-the-number-of-clusters-via-normalized-cluster-instability-1608.07494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-the-number-of-clusters-via-normalized-cluster-instability-1608.07494"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-correntropy-unscented-filter-1608.07526</loc><lastmod>2016-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-correntropy-unscented-filter-1608.07526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-correntropy-unscented-filter-1608.07526"/></url>
<url><loc>https://scifaro.com/en/abs/a-randomized-approach-to-efficient-kernel-clustering-1608.07597</loc><lastmod>2016-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-randomized-approach-to-efficient-kernel-clustering-1608.07597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-randomized-approach-to-efficient-kernel-clustering-1608.07597"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-and-community-detection-with-imbalanced-clusters-1608.07605</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-and-community-detection-with-imbalanced-clusters-1608.07605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-and-community-detection-with-imbalanced-clusters-1608.07605"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-recurrent-neural-networks-architectures-under-time-constraints-1608.07892</loc><lastmod>2018-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-recurrent-neural-networks-architectures-under-time-constraints-1608.07892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-recurrent-neural-networks-architectures-under-time-constraints-1608.07892"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-patterns-in-time-varying-graphs-a-triclustering-approach-1608.07929</loc><lastmod>2016-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-patterns-in-time-varying-graphs-a-triclustering-approach-1608.07929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-patterns-in-time-varying-graphs-a-triclustering-approach-1608.07929"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-adaptive-monte-carlo-in-random-environment-1608.07986</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-adaptive-monte-carlo-in-random-environment-1608.07986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-adaptive-monte-carlo-in-random-environment-1608.07986"/></url>
<url><loc>https://scifaro.com/en/abs/robust-discriminative-clustering-with-sparse-regularizers-1608.08052</loc><lastmod>2016-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-discriminative-clustering-with-sparse-regularizers-1608.08052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-discriminative-clustering-with-sparse-regularizers-1608.08052"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-discriminant-analysis-1608.08063</loc><lastmod>2018-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-discriminant-analysis-1608.08063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-discriminant-analysis-1608.08063"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-in-downlink-coordinated-multipoint-in-heterogeneous-networks-1608.08306</loc><lastmod>2019-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-in-downlink-coordinated-multipoint-in-heterogeneous-networks-1608.08306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-in-downlink-coordinated-multipoint-in-heterogeneous-networks-1608.08306"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-nonlinear-system-identification-and-adaptive-particle-filtering-using-gaussian-process-1608.08362</loc><lastmod>2016-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-nonlinear-system-identification-and-adaptive-particle-filtering-using-gaussian-process-1608.08362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-nonlinear-system-identification-and-adaptive-particle-filtering-using-gaussian-process-1608.08362"/></url>
<url><loc>https://scifaro.com/en/abs/joint-estimation-of-multiple-dependent-gaussian-graphical-models-with-applications-to-mouse-genomics-1608.08659</loc><lastmod>2016-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-estimation-of-multiple-dependent-gaussian-graphical-models-with-applications-to-mouse-genomics-1608.08659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-estimation-of-multiple-dependent-gaussian-graphical-models-with-applications-to-mouse-genomics-1608.08659"/></url>
<url><loc>https://scifaro.com/en/abs/a-mathematical-framework-for-feature-selection-from-real-world-data-with-non-linear-observations-1608.08852</loc><lastmod>2016-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-mathematical-framework-for-feature-selection-from-real-world-data-with-non-linear-observations-1608.08852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-mathematical-framework-for-feature-selection-from-real-world-data-with-non-linear-observations-1608.08852"/></url>
<url><loc>https://scifaro.com/en/abs/recursive-partitioning-for-personalization-using-observational-data-1608.08925</loc><lastmod>2017-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recursive-partitioning-for-personalization-using-observational-data-1608.08925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recursive-partitioning-for-personalization-using-observational-data-1608.08925"/></url>
<url><loc>https://scifaro.com/en/abs/towards-competitive-classifiers-for-unbalanced-classification-problems-a-study-on-the-performance-scores-1608.08984</loc><lastmod>2016-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-competitive-classifiers-for-unbalanced-classification-problems-a-study-on-the-performance-scores-1608.08984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-competitive-classifiers-for-unbalanced-classification-problems-a-study-on-the-performance-scores-1608.08984"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-architecture-optimization-through-submodularity-and-supermodularity-1609.00074</loc><lastmod>2018-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-architecture-optimization-through-submodularity-and-supermodularity-1609.00074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-architecture-optimization-through-submodularity-and-supermodularity-1609.00074"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-trainable-sparse-coding-via-matrix-factorization-1609.00285</loc><lastmod>2017-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-trainable-sparse-coding-via-matrix-factorization-1609.00285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-trainable-sparse-coding-via-matrix-factorization-1609.00285"/></url>
<url><loc>https://scifaro.com/en/abs/ten-steps-of-em-suffice-for-mixtures-of-two-gaussians-1609.00368</loc><lastmod>2017-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ten-steps-of-em-suffice-for-mixtures-of-two-gaussians-1609.00368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ten-steps-of-em-suffice-for-mixtures-of-two-gaussians-1609.00368"/></url>
<url><loc>https://scifaro.com/en/abs/generic-inference-in-latent-gaussian-process-models-1609.00577</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generic-inference-in-latent-gaussian-process-models-1609.00577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generic-inference-in-latent-gaussian-process-models-1609.00577"/></url>
<url><loc>https://scifaro.com/en/abs/localization-by-fusing-a-group-of-fingerprints-via-multiple-antennas-in-indoor-environment-1609.00661</loc><lastmod>2017-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/localization-by-fusing-a-group-of-fingerprints-via-multiple-antennas-in-indoor-environment-1609.00661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/localization-by-fusing-a-group-of-fingerprints-via-multiple-antennas-in-indoor-environment-1609.00661"/></url>
<url><loc>https://scifaro.com/en/abs/graph-based-active-learning-a-new-look-at-expected-error-minimization-1609.00845</loc><lastmod>2016-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-based-active-learning-a-new-look-at-expected-error-minimization-1609.00845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-based-active-learning-a-new-look-at-expected-error-minimization-1609.00845"/></url>
<url><loc>https://scifaro.com/en/abs/decoding-visual-stimuli-in-human-brain-by-using-anatomical-pattern-analysis-on-fmri-images-1609.00921</loc><lastmod>2016-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoding-visual-stimuli-in-human-brain-by-using-anatomical-pattern-analysis-on-fmri-images-1609.00921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoding-visual-stimuli-in-human-brain-by-using-anatomical-pattern-analysis-on-fmri-images-1609.00921"/></url>
<url><loc>https://scifaro.com/en/abs/local-maxima-in-the-likelihood-of-gaussian-mixture-models-structural-results-and-algorithmic-consequences-1609.00978</loc><lastmod>2016-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-maxima-in-the-likelihood-of-gaussian-mixture-models-structural-results-and-algorithmic-consequences-1609.00978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-maxima-in-the-likelihood-of-gaussian-mixture-models-structural-results-and-algorithmic-consequences-1609.00978"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-entropy-search-for-multi-objective-bayesian-optimization-with-constraints-1609.01051</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-entropy-search-for-multi-objective-bayesian-optimization-with-constraints-1609.01051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-entropy-search-for-multi-objective-bayesian-optimization-with-constraints-1609.01051"/></url>
<url><loc>https://scifaro.com/en/abs/structured-sparse-principal-components-analysis-with-the-tv-elastic-net-penalty-1609.01423</loc><lastmod>2016-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-sparse-principal-components-analysis-with-the-tv-elastic-net-penalty-1609.01423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-sparse-principal-components-analysis-with-the-tv-elastic-net-penalty-1609.01423"/></url>
<url><loc>https://scifaro.com/en/abs/direct-feedback-alignment-provides-learning-in-deep-neural-networks-1609.01596</loc><lastmod>2016-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/direct-feedback-alignment-provides-learning-in-deep-neural-networks-1609.01596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/direct-feedback-alignment-provides-learning-in-deep-neural-networks-1609.01596"/></url>
<url><loc>https://scifaro.com/en/abs/chaining-bounds-for-empirical-risk-minimization-1609.01872</loc><lastmod>2016-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chaining-bounds-for-empirical-risk-minimization-1609.01872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chaining-bounds-for-empirical-risk-minimization-1609.01872"/></url>
<url><loc>https://scifaro.com/en/abs/random-matrices-meet-machine-learning-a-large-dimensional-analysis-of-ls-svm-1609.02020</loc><lastmod>2016-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-matrices-meet-machine-learning-a-large-dimensional-analysis-of-ls-svm-1609.02020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-matrices-meet-machine-learning-a-large-dimensional-analysis-of-ls-svm-1609.02020"/></url>
<url><loc>https://scifaro.com/en/abs/ask-the-gru-multi-task-learning-for-deep-text-recommendations-1609.02116</loc><lastmod>2016-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ask-the-gru-multi-task-learning-for-deep-text-recommendations-1609.02116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ask-the-gru-multi-task-learning-for-deep-text-recommendations-1609.02116"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-variational-autoencoders-1609.02200</loc><lastmod>2017-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-variational-autoencoders-1609.02200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-variational-autoencoders-1609.02200"/></url>
<url><loc>https://scifaro.com/en/abs/dismec-distributed-sparse-machines-for-extreme-multi-label-classification-1609.02521</loc><lastmod>2016-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dismec-distributed-sparse-machines-for-extreme-multi-label-classification-1609.02521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dismec-distributed-sparse-machines-for-extreme-multi-label-classification-1609.02521"/></url>
<url><loc>https://scifaro.com/en/abs/on-sequential-elimination-algorithms-for-best-arm-identification-in-multi-armed-bandits-1609.02606</loc><lastmod>2017-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-sequential-elimination-algorithms-for-best-arm-identification-in-multi-armed-bandits-1609.02606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-sequential-elimination-algorithms-for-best-arm-identification-in-multi-armed-bandits-1609.02606"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-processing-of-biosignal-database-for-emotion-recognition-with-mahout-1609.02631</loc><lastmod>2016-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-processing-of-biosignal-database-for-emotion-recognition-with-mahout-1609.02631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-processing-of-biosignal-database-for-emotion-recognition-with-mahout-1609.02631"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-joint-models-for-longitudinal-and-time-to-event-data-1609.02686</loc><lastmod>2016-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-joint-models-for-longitudinal-and-time-to-event-data-1609.02686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-joint-models-for-longitudinal-and-time-to-event-data-1609.02686"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-batch-sequential-bayesian-optimization-with-moments-of-truncated-gaussian-vectors-1609.02700</loc><lastmod>2016-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-batch-sequential-bayesian-optimization-with-moments-of-truncated-gaussian-vectors-1609.02700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-batch-sequential-bayesian-optimization-with-moments-of-truncated-gaussian-vectors-1609.02700"/></url>
<url><loc>https://scifaro.com/en/abs/robust-spectral-detection-of-global-structures-in-the-data-by-learning-a-regularization-1609.02906</loc><lastmod>2016-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-spectral-detection-of-global-structures-in-the-data-by-learning-a-regularization-1609.02906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-spectral-detection-of-global-structures-in-the-data-by-learning-a-regularization-1609.02906"/></url>
<url><loc>https://scifaro.com/en/abs/iteratively-reweighted-least-squares-algorithms-for-l1-norm-principal-component-analysis-1609.02997</loc><lastmod>2020-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iteratively-reweighted-least-squares-algorithms-for-l1-norm-principal-component-analysis-1609.02997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iteratively-reweighted-least-squares-algorithms-for-l1-norm-principal-component-analysis-1609.02997"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-relationship-between-online-gaussian-process-regression-and-kernel-least-mean-squares-algorithms-1609.03164</loc><lastmod>2016-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-relationship-between-online-gaussian-process-regression-and-kernel-least-mean-squares-algorithms-1609.03164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-relationship-between-online-gaussian-process-regression-and-kernel-least-mean-squares-algorithms-1609.03164"/></url>
<url><loc>https://scifaro.com/en/abs/sharing-hash-codes-for-multiple-purposes-1609.03219</loc><lastmod>2017-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sharing-hash-codes-for-multiple-purposes-1609.03219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sharing-hash-codes-for-multiple-purposes-1609.03219"/></url>
<url><loc>https://scifaro.com/en/abs/non-square-matrix-sensing-without-spurious-local-minima-via-the-burer-monteiro-approach-1609.03240</loc><lastmod>2016-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-square-matrix-sensing-without-spurious-local-minima-via-the-burer-monteiro-approach-1609.03240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-square-matrix-sensing-without-spurious-local-minima-via-the-burer-monteiro-approach-1609.03240"/></url>
<url><loc>https://scifaro.com/en/abs/finite-sample-and-asymptotic-analysis-of-generalization-ability-with-an-application-to-penalized-regression-1609.03344</loc><lastmod>2016-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-sample-and-asymptotic-analysis-of-generalization-ability-with-an-application-to-penalized-regression-1609.03344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-sample-and-asymptotic-analysis-of-generalization-ability-with-an-application-to-penalized-regression-1609.03344"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-encoding-and-decoding-for-point-process-observations-an-approximate-closed-form-filter-1609.03519</loc><lastmod>2016-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-encoding-and-decoding-for-point-process-observations-an-approximate-closed-form-filter-1609.03519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-encoding-and-decoding-for-point-process-observations-an-approximate-closed-form-filter-1609.03519"/></url>
<url><loc>https://scifaro.com/en/abs/online-data-thinning-via-multi-subspace-tracking-1609.03544</loc><lastmod>2016-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-data-thinning-via-multi-subspace-tracking-1609.03544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-data-thinning-via-multi-subspace-tracking-1609.03544"/></url>
<url><loc>https://scifaro.com/en/abs/making-deep-neural-networks-robust-to-label-noise-a-loss-correction-approach-1609.03683</loc><lastmod>2017-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-deep-neural-networks-robust-to-label-noise-a-loss-correction-approach-1609.03683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-deep-neural-networks-robust-to-label-noise-a-loss-correction-approach-1609.03683"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-kelner-and-levin-graph-sparsification-algorithm-for-a-streaming-setting-1609.03769</loc><lastmod>2016-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-kelner-and-levin-graph-sparsification-algorithm-for-a-streaming-setting-1609.03769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-kelner-and-levin-graph-sparsification-algorithm-for-a-streaming-setting-1609.03769"/></url>
<url><loc>https://scifaro.com/en/abs/learning-conditional-independence-structure-for-high-dimensional-uncorrelated-vector-processes-1609.03772</loc><lastmod>2016-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-conditional-independence-structure-for-high-dimensional-uncorrelated-vector-processes-1609.03772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-conditional-independence-structure-for-high-dimensional-uncorrelated-vector-processes-1609.03772"/></url>
<url><loc>https://scifaro.com/en/abs/noisy-inductive-matrix-completion-under-sparse-factor-models-1609.03958</loc><lastmod>2016-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisy-inductive-matrix-completion-under-sparse-factor-models-1609.03958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisy-inductive-matrix-completion-under-sparse-factor-models-1609.03958"/></url>
<url><loc>https://scifaro.com/en/abs/private-topic-modeling-1609.04120</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-topic-modeling-1609.04120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-topic-modeling-1609.04120"/></url>
<url><loc>https://scifaro.com/en/abs/gray-box-inference-for-structured-gaussian-process-models-1609.04289</loc><lastmod>2016-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gray-box-inference-for-structured-gaussian-process-models-1609.04289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gray-box-inference-for-structured-gaussian-process-models-1609.04289"/></url>
<url><loc>https://scifaro.com/en/abs/relativistic-monte-carlo-1609.04388</loc><lastmod>2016-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relativistic-monte-carlo-1609.04388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relativistic-monte-carlo-1609.04388"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-graphical-model-non-convex-optimization-and-statistical-inference-1609.04522</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-graphical-model-non-convex-optimization-and-statistical-inference-1609.04522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-graphical-model-non-convex-optimization-and-statistical-inference-1609.04522"/></url>
<url><loc>https://scifaro.com/en/abs/store-sparse-tensor-response-regression-and-neuroimaging-analysis-1609.04523</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/store-sparse-tensor-response-regression-and-neuroimaging-analysis-1609.04523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/store-sparse-tensor-response-regression-and-neuroimaging-analysis-1609.04523"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-product-state-for-higher-order-tensor-compression-and-classification-1609.04541</loc><lastmod>2017-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-product-state-for-higher-order-tensor-compression-and-classification-1609.04541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-product-state-for-higher-order-tensor-compression-and-classification-1609.04541"/></url>
<url><loc>https://scifaro.com/en/abs/recursive-nearest-agglomeration-rena-fast-clustering-for-approximation-of-structured-signals-1609.04608</loc><lastmod>2018-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recursive-nearest-agglomeration-rena-fast-clustering-for-approximation-of-structured-signals-1609.04608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recursive-nearest-agglomeration-rena-fast-clustering-for-approximation-of-structured-signals-1609.04608"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-estimation-of-the-operating-state-of-a-single-bus-dc-microgrid-without-an-external-communication-interface-1609.04623</loc><lastmod>2016-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-estimation-of-the-operating-state-of-a-single-bus-dc-microgrid-without-an-external-communication-interface-1609.04623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-estimation-of-the-operating-state-of-a-single-bus-dc-microgrid-without-an-external-communication-interface-1609.04623"/></url>
<url><loc>https://scifaro.com/en/abs/mixture-model-modal-clustering-1609.04721</loc><lastmod>2016-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixture-model-modal-clustering-1609.04721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixture-model-modal-clustering-1609.04721"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-shot-making-in-basketball-learnt-from-adversarial-multiagent-trajectories-1609.04849</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-shot-making-in-basketball-learnt-from-adversarial-multiagent-trajectories-1609.04849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-shot-making-in-basketball-learnt-from-adversarial-multiagent-trajectories-1609.04849"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-sparse-subspace-clustering-by-selective-pursuit-1609.05057</loc><lastmod>2018-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-sparse-subspace-clustering-by-selective-pursuit-1609.05057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-sparse-subspace-clustering-by-selective-pursuit-1609.05057"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-and-deciphering-relationships-across-disparate-data-modalities-1609.05148</loc><lastmod>2024-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-and-deciphering-relationships-across-disparate-data-modalities-1609.05148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-and-deciphering-relationships-across-disparate-data-modalities-1609.05148"/></url>
<url><loc>https://scifaro.com/en/abs/adagio-fast-data-aware-near-isometric-linear-embeddings-1609.05388</loc><lastmod>2016-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adagio-fast-data-aware-near-isometric-linear-embeddings-1609.05388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adagio-fast-data-aware-near-isometric-linear-embeddings-1609.05388"/></url>
<url><loc>https://scifaro.com/en/abs/on-randomized-distributed-coordinate-descent-with-quantized-updates-1609.05539</loc><lastmod>2017-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-randomized-distributed-coordinate-descent-with-quantized-updates-1609.05539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-randomized-distributed-coordinate-descent-with-quantized-updates-1609.05539"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-matrix-factorization-1609.05772</loc><lastmod>2016-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-matrix-factorization-1609.05772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-matrix-factorization-1609.05772"/></url>
<url><loc>https://scifaro.com/en/abs/conformalized-kernel-ridge-regression-1609.05959</loc><lastmod>2016-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformalized-kernel-ridge-regression-1609.05959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformalized-kernel-ridge-regression-1609.05959"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-monte-carlo-for-scalable-bayesian-computations-1609.06144</loc><lastmod>2016-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-monte-carlo-for-scalable-bayesian-computations-1609.06144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-monte-carlo-for-scalable-bayesian-computations-1609.06144"/></url>
<url><loc>https://scifaro.com/en/abs/multiclass-classification-calibration-functions-1609.06385</loc><lastmod>2016-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiclass-classification-calibration-functions-1609.06385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiclass-classification-calibration-functions-1609.06385"/></url>
<url><loc>https://scifaro.com/en/abs/learning-hmms-with-nonparametric-emissions-via-spectral-decompositions-of-continuous-matrices-1609.06390</loc><lastmod>2016-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-hmms-with-nonparametric-emissions-via-spectral-decompositions-of-continuous-matrices-1609.06390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-hmms-with-nonparametric-emissions-via-spectral-decompositions-of-continuous-matrices-1609.06390"/></url>
<url><loc>https://scifaro.com/en/abs/on-data-independent-properties-for-density-based-dissimilarity-measures-in-hybrid-clustering-1609.06533</loc><lastmod>2016-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-data-independent-properties-for-density-based-dissimilarity-measures-in-hybrid-clustering-1609.06533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-data-independent-properties-for-density-based-dissimilarity-measures-in-hybrid-clustering-1609.06533"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-evaluation-of-feature-selection-methods-based-on-mutual-information-1609.06575</loc><lastmod>2016-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-evaluation-of-feature-selection-methods-based-on-mutual-information-1609.06575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-evaluation-of-feature-selection-methods-based-on-mutual-information-1609.06575"/></url>
<url><loc>https://scifaro.com/en/abs/saturating-splines-and-feature-selection-1609.06764</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/saturating-splines-and-feature-selection-1609.06764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/saturating-splines-and-feature-selection-1609.06764"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-bayesian-topic-modelling-with-the-hierarchical-pitman-yor-processes-1609.06783</loc><lastmod>2016-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-bayesian-topic-modelling-with-the-hierarchical-pitman-yor-processes-1609.06783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-bayesian-topic-modelling-with-the-hierarchical-pitman-yor-processes-1609.06783"/></url>
<url><loc>https://scifaro.com/en/abs/a-probabilistic-network-for-the-diagnosis-of-acute-cardiopulmonary-diseases-1609.06864</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probabilistic-network-for-the-diagnosis-of-acute-cardiopulmonary-diseases-1609.06864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probabilistic-network-for-the-diagnosis-of-acute-cardiopulmonary-diseases-1609.06864"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-independent-component-analysis-1609.06942</loc><lastmod>2016-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-independent-component-analysis-1609.06942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-independent-component-analysis-1609.06942"/></url>
<url><loc>https://scifaro.com/en/abs/an-equivalence-between-high-dimensional-bayes-optimal-inference-and-m-estimation-1609.07060</loc><lastmod>2016-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-equivalence-between-high-dimensional-bayes-optimal-inference-and-m-estimation-1609.07060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-equivalence-between-high-dimensional-bayes-optimal-inference-and-m-estimation-1609.07060"/></url>
<url><loc>https://scifaro.com/en/abs/constraint-based-clustering-selection-1609.07272</loc><lastmod>2016-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constraint-based-clustering-selection-1609.07272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constraint-based-clustering-selection-1609.07272"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-probability-distributions-using-dirac-kernels-via-rademacher-walsh-polynomial-basis-functions-1609.07333</loc><lastmod>2016-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-probability-distributions-using-dirac-kernels-via-rademacher-walsh-polynomial-basis-functions-1609.07333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-probability-distributions-using-dirac-kernels-via-rademacher-walsh-polynomial-basis-functions-1609.07333"/></url>
<url><loc>https://scifaro.com/en/abs/a-penalized-likelihood-method-for-classification-with-matrix-valued-predictors-1609.07386</loc><lastmod>2016-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-penalized-likelihood-method-for-classification-with-matrix-valued-predictors-1609.07386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-penalized-likelihood-method-for-classification-with-matrix-valued-predictors-1609.07386"/></url>
<url><loc>https://scifaro.com/en/abs/one-vs-each-approximation-to-softmax-for-scalable-estimation-of-probabilities-1609.07410</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-vs-each-approximation-to-softmax-for-scalable-estimation-of-probabilities-1609.07410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-vs-each-approximation-to-softmax-for-scalable-estimation-of-probabilities-1609.07410"/></url>
<url><loc>https://scifaro.com/en/abs/fast-learning-of-clusters-and-topics-via-sparse-posteriors-1609.07521</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-learning-of-clusters-and-topics-via-sparse-posteriors-1609.07521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-learning-of-clusters-and-topics-via-sparse-posteriors-1609.07521"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-pricing-in-high-dimensions-1609.07574</loc><lastmod>2018-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-pricing-in-high-dimensions-1609.07574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-pricing-in-high-dimensions-1609.07574"/></url>
<url><loc>https://scifaro.com/en/abs/max-norm-optimization-for-robust-matrix-recovery-1609.07664</loc><lastmod>2016-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/max-norm-optimization-for-robust-matrix-recovery-1609.07664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/max-norm-optimization-for-robust-matrix-recovery-1609.07664"/></url>
<url><loc>https://scifaro.com/en/abs/one-class-svm-with-privileged-information-and-its-application-to-malware-detection-1609.08039</loc><lastmod>2016-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-class-svm-with-privileged-information-and-its-application-to-malware-detection-1609.08039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-class-svm-with-privileged-information-and-its-application-to-malware-detection-1609.08039"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-with-hamiltonian-monte-carlo-1609.08203</loc><lastmod>2016-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-with-hamiltonian-monte-carlo-1609.08203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-with-hamiltonian-monte-carlo-1609.08203"/></url>
<url><loc>https://scifaro.com/en/abs/online-categorical-subspace-learning-for-sketching-big-data-with-misses-1609.08235</loc><lastmod>2017-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-categorical-subspace-learning-for-sketching-big-data-with-misses-1609.08235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-categorical-subspace-learning-for-sketching-big-data-with-misses-1609.08235"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-protein-feature-prediction-with-statistical-relational-learning-1609.08391</loc><lastmod>2016-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-protein-feature-prediction-with-statistical-relational-learning-1609.08391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-protein-feature-prediction-with-statistical-relational-learning-1609.08391"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-error-bounds-for-optimization-algorithms-via-stability-1609.08397</loc><lastmod>2016-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-error-bounds-for-optimization-algorithms-via-stability-1609.08397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-error-bounds-for-optimization-algorithms-via-stability-1609.08397"/></url>
<url><loc>https://scifaro.com/en/abs/stabilizing-linear-prediction-models-using-autoencoder-1609.08752</loc><lastmod>2016-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stabilizing-linear-prediction-models-using-autoencoder-1609.08752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stabilizing-linear-prediction-models-using-autoencoder-1609.08752"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-principal-component-regression-for-generalized-linear-models-1609.08886</loc><lastmod>2018-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-principal-component-regression-for-generalized-linear-models-1609.08886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-principal-component-regression-for-generalized-linear-models-1609.08886"/></url>
<url><loc>https://scifaro.com/en/abs/the-famine-of-forte-few-search-problems-greatly-favor-your-algorithm-1609.08913</loc><lastmod>2017-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-famine-of-forte-few-search-problems-greatly-favor-your-algorithm-1609.08913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-famine-of-forte-few-search-problems-greatly-favor-your-algorithm-1609.08913"/></url>
<url><loc>https://scifaro.com/en/abs/variational-autoencoder-for-deep-learning-of-images-labels-and-captions-1609.08976</loc><lastmod>2016-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-autoencoder-for-deep-learning-of-images-labels-and-captions-1609.08976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-autoencoder-for-deep-learning-of-images-labels-and-captions-1609.08976"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-convolutional-networks-for-pulmonary-nodule-detection-in-ct-imaging-1609.09143</loc><lastmod>2016-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-convolutional-networks-for-pulmonary-nodule-detection-in-ct-imaging-1609.09143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-convolutional-networks-for-pulmonary-nodule-detection-in-ct-imaging-1609.09143"/></url>
<url><loc>https://scifaro.com/en/abs/extract-strong-examples-from-weakly-labeled-sensor-data-1609.09196</loc><lastmod>2016-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extract-strong-examples-from-weakly-labeled-sensor-data-1609.09196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extract-strong-examples-from-weakly-labeled-sensor-data-1609.09196"/></url>
<url><loc>https://scifaro.com/en/abs/cooperative-training-of-descriptor-and-generator-networks-1609.09408</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cooperative-training-of-descriptor-and-generator-networks-1609.09408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cooperative-training-of-descriptor-and-generator-networks-1609.09408"/></url>
<url><loc>https://scifaro.com/en/abs/a-searchlight-factor-model-approach-for-locating-shared-information-in-multi-subject-fmri-analysis-1609.09432</loc><lastmod>2016-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-searchlight-factor-model-approach-for-locating-shared-information-in-multi-subject-fmri-analysis-1609.09432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-searchlight-factor-model-approach-for-locating-shared-information-in-multi-subject-fmri-analysis-1609.09432"/></url>
<url><loc>https://scifaro.com/en/abs/fast-learning-rates-with-heavy-tailed-losses-1609.09481</loc><lastmod>2016-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-learning-rates-with-heavy-tailed-losses-1609.09481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-learning-rates-with-heavy-tailed-losses-1609.09481"/></url>
<url><loc>https://scifaro.com/en/abs/max-plus-statistical-leverage-scores-1609.09519</loc><lastmod>2016-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/max-plus-statistical-leverage-scores-1609.09519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/max-plus-statistical-leverage-scores-1609.09519"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-spectral-transportation-with-application-to-music-transcription-1609.09799</loc><lastmod>2016-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-spectral-transportation-with-application-to-music-transcription-1609.09799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-spectral-transportation-with-application-to-music-transcription-1609.09799"/></url>
<url><loc>https://scifaro.com/en/abs/structured-inference-networks-for-nonlinear-state-space-models-1609.09869</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-inference-networks-for-nonlinear-state-space-models-1609.09869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-inference-networks-for-nonlinear-state-space-models-1609.09869"/></url>
<url><loc>https://scifaro.com/en/abs/x-cnn-cross-modal-convolutional-neural-networks-for-sparse-datasets-1610.00163</loc><lastmod>2017-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/x-cnn-cross-modal-convolutional-neural-networks-for-sparse-datasets-1610.00163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/x-cnn-cross-modal-convolutional-neural-networks-for-sparse-datasets-1610.00163"/></url>
<url><loc>https://scifaro.com/en/abs/learning-optimized-risk-scores-1610.00168</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-optimized-risk-scores-1610.00168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-optimized-risk-scores-1610.00168"/></url>
<url><loc>https://scifaro.com/en/abs/a-birth-and-death-process-for-bayesian-network-structure-inference-1610.00189</loc><lastmod>2016-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-birth-and-death-process-for-bayesian-network-structure-inference-1610.00189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-birth-and-death-process-for-bayesian-network-structure-inference-1610.00189"/></url>
<url><loc>https://scifaro.com/en/abs/hnp3-a-hierarchical-nonparametric-point-process-for-modeling-content-diffusion-over-social-media-1610.00246</loc><lastmod>2016-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hnp3-a-hierarchical-nonparametric-point-process-for-modeling-content-diffusion-over-social-media-1610.00246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hnp3-a-hierarchical-nonparametric-point-process-for-modeling-content-diffusion-over-social-media-1610.00246"/></url>
<url><loc>https://scifaro.com/en/abs/sparsity-driven-weighted-ensemble-classifier-1610.00270</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsity-driven-weighted-ensemble-classifier-1610.00270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsity-driven-weighted-ensemble-classifier-1610.00270"/></url>
<url><loc>https://scifaro.com/en/abs/one-trial-correction-of-legacy-ai-systems-and-stochastic-separation-theorems-1610.00494</loc><lastmod>2019-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-trial-correction-of-legacy-ai-systems-and-stochastic-separation-theorems-1610.00494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-trial-correction-of-legacy-ai-systems-and-stochastic-separation-theorems-1610.00494"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-with-sparse-autoencoders-in-phone-classification-1610.00520</loc><lastmod>2016-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-with-sparse-autoencoders-in-phone-classification-1610.00520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-with-sparse-autoencoders-in-phone-classification-1610.00520"/></url>
<url><loc>https://scifaro.com/en/abs/data-integration-with-high-dimensionality-1610.00667</loc><lastmod>2016-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-integration-with-high-dimensionality-1610.00667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-integration-with-high-dimensionality-1610.00667"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-low-rank-change-detection-1610.00732</loc><lastmod>2016-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-low-rank-change-detection-1610.00732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-low-rank-change-detection-1610.00732"/></url>
<url><loc>https://scifaro.com/en/abs/the-search-problem-in-mixture-models-1610.00843</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-search-problem-in-mixture-models-1610.00843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-search-problem-in-mixture-models-1610.00843"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-role-discovery-in-networks-from-node-to-edge-roles-1610.00844</loc><lastmod>2016-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-role-discovery-in-networks-from-node-to-edge-roles-1610.00844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-role-discovery-in-networks-from-node-to-edge-roles-1610.00844"/></url>
<url><loc>https://scifaro.com/en/abs/model-selection-for-gaussian-process-regression-by-approximation-set-coding-1610.00907</loc><lastmod>2016-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-selection-for-gaussian-process-regression-by-approximation-set-coding-1610.00907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-selection-for-gaussian-process-regression-by-approximation-set-coding-1610.00907"/></url>
<url><loc>https://scifaro.com/en/abs/an-inexact-variable-metric-proximal-point-algorithm-for-generic-quasi-newton-acceleration-1610.00960</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-inexact-variable-metric-proximal-point-algorithm-for-generic-quasi-newton-acceleration-1610.00960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-inexact-variable-metric-proximal-point-algorithm-for-generic-quasi-newton-acceleration-1610.00960"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-optimization-with-variance-reduction-for-infinite-datasets-with-finite-sum-structure-1610.00970</loc><lastmod>2017-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-optimization-with-variance-reduction-for-infinite-datasets-with-finite-sum-structure-1610.00970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-optimization-with-variance-reduction-for-infinite-datasets-with-finite-sum-structure-1610.00970"/></url>
<url><loc>https://scifaro.com/en/abs/a-smart-stochastic-algorithm-for-nonconvex-optimization-with-applications-to-robust-machine-learning-1610.01101</loc><lastmod>2017-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-smart-stochastic-algorithm-for-nonconvex-optimization-with-applications-to-robust-machine-learning-1610.01101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-smart-stochastic-algorithm-for-nonconvex-optimization-with-applications-to-robust-machine-learning-1610.01101"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-validation-selectivity-has-a-price-but-variety-is-free-1610.01234</loc><lastmod>2019-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-validation-selectivity-has-a-price-but-variety-is-free-1610.01234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-validation-selectivity-has-a-price-but-variety-is-free-1610.01234"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-topic-modelling-with-latent-dirichlet-allocation-1610.01417</loc><lastmod>2016-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-topic-modelling-with-latent-dirichlet-allocation-1610.01417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-topic-modelling-with-latent-dirichlet-allocation-1610.01417"/></url>
<url><loc>https://scifaro.com/en/abs/recovering-multiple-nonnegative-time-series-from-a-few-temporal-aggregates-1610.01492</loc><lastmod>2016-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovering-multiple-nonnegative-time-series-from-a-few-temporal-aggregates-1610.01492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovering-multiple-nonnegative-time-series-from-a-few-temporal-aggregates-1610.01492"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-representation-of-neural-networks-1610.01549</loc><lastmod>2016-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-representation-of-neural-networks-1610.01549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-representation-of-neural-networks-1610.01549"/></url>
<url><loc>https://scifaro.com/en/abs/learning-protein-dynamics-with-metastable-switching-systems-1610.01642</loc><lastmod>2016-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-protein-dynamics-with-metastable-switching-systems-1610.01642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-protein-dynamics-with-metastable-switching-systems-1610.01642"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-intermediate-layers-using-linear-classifier-probes-1610.01644</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-intermediate-layers-using-linear-classifier-probes-1610.01644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-intermediate-layers-using-linear-classifier-probes-1610.01644"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-sleep-stage-scoring-with-single-channel-eeg-using-convolutional-neural-networks-1610.01683</loc><lastmod>2016-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-sleep-stage-scoring-with-single-channel-eeg-using-convolutional-neural-networks-1610.01683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-sleep-stage-scoring-with-single-channel-eeg-using-convolutional-neural-networks-1610.01683"/></url>
<url><loc>https://scifaro.com/en/abs/human-decision-making-under-limited-time-1610.01698</loc><lastmod>2016-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-decision-making-under-limited-time-1610.01698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-decision-making-under-limited-time-1610.01698"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-maximum-correntropy-adaptive-filtering-1610.01766</loc><lastmod>2016-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-maximum-correntropy-adaptive-filtering-1610.01766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-maximum-correntropy-adaptive-filtering-1610.01766"/></url>
<url><loc>https://scifaro.com/en/abs/the-generalized-reparameterization-gradient-1610.02287</loc><lastmod>2016-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-generalized-reparameterization-gradient-1610.02287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-generalized-reparameterization-gradient-1610.02287"/></url>
<url><loc>https://scifaro.com/en/abs/a-nonparametric-sequential-test-for-online-randomized-experiments-1610.02490</loc><lastmod>2017-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-nonparametric-sequential-test-for-online-randomized-experiments-1610.02490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-nonparametric-sequential-test-for-online-randomized-experiments-1610.02490"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-multiple-instance-neural-networks-1610.02501</loc><lastmod>2020-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-multiple-instance-neural-networks-1610.02501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-multiple-instance-neural-networks-1610.02501"/></url>
<url><loc>https://scifaro.com/en/abs/variance-based-regularization-with-convex-objectives-1610.02581</loc><lastmod>2017-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-based-regularization-with-convex-objectives-1610.02581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-based-regularization-with-convex-objectives-1610.02581"/></url>
<url><loc>https://scifaro.com/en/abs/indirect-gaussian-graph-learning-beyond-gaussianity-1610.02590</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/indirect-gaussian-graph-learning-beyond-gaussianity-1610.02590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/indirect-gaussian-graph-learning-beyond-gaussianity-1610.02590"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-selection-strategy-for-selective-cluster-ensemble-based-on-diversity-and-independency-1610.02649</loc><lastmod>2016-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-selection-strategy-for-selective-cluster-ensemble-based-on-diversity-and-independency-1610.02649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-selection-strategy-for-selective-cluster-ensemble-based-on-diversity-and-independency-1610.02649"/></url>
<url><loc>https://scifaro.com/en/abs/dataiku-s-solution-to-sphere-s-activity-recognition-challenge-1610.02757</loc><lastmod>2016-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dataiku-s-solution-to-sphere-s-activity-recognition-challenge-1610.02757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dataiku-s-solution-to-sphere-s-activity-recognition-challenge-1610.02757"/></url>
<url><loc>https://scifaro.com/en/abs/robust-bayesian-compressed-sensing-1610.02807</loc><lastmod>2016-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-bayesian-compressed-sensing-1610.02807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-bayesian-compressed-sensing-1610.02807"/></url>
<url><loc>https://scifaro.com/en/abs/phase-transitions-and-optimal-algorithms-in-high-dimensional-gaussian-mixture-clustering-1610.02918</loc><lastmod>2017-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phase-transitions-and-optimal-algorithms-in-high-dimensional-gaussian-mixture-clustering-1610.02918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phase-transitions-and-optimal-algorithms-in-high-dimensional-gaussian-mixture-clustering-1610.02918"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-nets-from-a-density-ratio-estimation-perspective-1610.02920</loc><lastmod>2016-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-nets-from-a-density-ratio-estimation-perspective-1610.02920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-nets-from-a-density-ratio-estimation-perspective-1610.02920"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-dynamic-mode-decomposition-an-exact-and-tractable-solution-1610.02962</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-dynamic-mode-decomposition-an-exact-and-tractable-solution-1610.02962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-dynamic-mode-decomposition-an-exact-and-tractable-solution-1610.02962"/></url>
<url><loc>https://scifaro.com/en/abs/latent-sequence-decompositions-1610.03035</loc><lastmod>2017-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-sequence-decompositions-1610.03035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-sequence-decompositions-1610.03035"/></url>
<url><loc>https://scifaro.com/en/abs/truncated-variational-expectation-maximization-1610.03113</loc><lastmod>2019-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/truncated-variational-expectation-maximization-1610.03113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/truncated-variational-expectation-maximization-1610.03113"/></url>
<url><loc>https://scifaro.com/en/abs/assisted-dictionary-learning-for-fmri-data-analysis-1610.03276</loc><lastmod>2016-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assisted-dictionary-learning-for-fmri-data-analysis-1610.03276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assisted-dictionary-learning-for-fmri-data-analysis-1610.03276"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-entropy-models-capture-melodic-styles-1610.03414</loc><lastmod>2016-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-entropy-models-capture-melodic-styles-1610.03414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-entropy-models-capture-melodic-styles-1610.03414"/></url>
<url><loc>https://scifaro.com/en/abs/statistics-of-robust-optimization-a-generalized-empirical-likelihood-approach-1610.03425</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistics-of-robust-optimization-a-generalized-empirical-likelihood-approach-1610.03425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistics-of-robust-optimization-a-generalized-empirical-likelihood-approach-1610.03425"/></url>
<url><loc>https://scifaro.com/en/abs/learning-in-implicit-generative-models-1610.03483</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-in-implicit-generative-models-1610.03483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-in-implicit-generative-models-1610.03483"/></url>
<url><loc>https://scifaro.com/en/abs/optimistic-semi-supervised-least-squares-classification-1610.03713</loc><lastmod>2016-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimistic-semi-supervised-least-squares-classification-1610.03713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimistic-semi-supervised-least-squares-classification-1610.03713"/></url>
<url><loc>https://scifaro.com/en/abs/post-selection-inference-with-kernels-1610.03725</loc><lastmod>2016-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/post-selection-inference-with-kernels-1610.03725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/post-selection-inference-with-kernels-1610.03725"/></url>
<url><loc>https://scifaro.com/en/abs/parallelizing-stochastic-gradient-descent-for-least-squares-regression-mini-batching-averaging-and-model-misspecification-1610.03774</loc><lastmod>2018-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallelizing-stochastic-gradient-descent-for-least-squares-regression-mini-batching-averaging-and-model-misspecification-1610.03774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallelizing-stochastic-gradient-descent-for-least-squares-regression-mini-batching-averaging-and-model-misspecification-1610.03774"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bound-for-kernel-similarity-learning-1610.03899</loc><lastmod>2016-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bound-for-kernel-similarity-learning-1610.03899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bound-for-kernel-similarity-learning-1610.03899"/></url>
<url><loc>https://scifaro.com/en/abs/dictionary-update-for-nmf-based-voice-conversion-using-an-encoder-decoder-network-1610.03988</loc><lastmod>2016-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dictionary-update-for-nmf-based-voice-conversion-using-an-encoder-decoder-network-1610.03988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dictionary-update-for-nmf-based-voice-conversion-using-an-encoder-decoder-network-1610.03988"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-active-learning-for-support-vector-machines-a-novel-approach-that-exploits-structure-information-in-data-1610.03995</loc><lastmod>2016-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-active-learning-for-support-vector-machines-a-novel-approach-that-exploits-structure-information-in-data-1610.03995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-active-learning-for-support-vector-machines-a-novel-approach-that-exploits-structure-information-in-data-1610.03995"/></url>
<url><loc>https://scifaro.com/en/abs/voice-conversion-from-non-parallel-corpora-using-variational-auto-encoder-1610.04019</loc><lastmod>2016-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/voice-conversion-from-non-parallel-corpora-using-variational-auto-encoder-1610.04019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/voice-conversion-from-non-parallel-corpora-using-variational-auto-encoder-1610.04019"/></url>
<url><loc>https://scifaro.com/en/abs/removal-of-batch-effects-using-distribution-matching-residual-networks-1610.04181</loc><lastmod>2018-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/removal-of-batch-effects-using-distribution-matching-residual-networks-1610.04181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/removal-of-batch-effects-using-distribution-matching-residual-networks-1610.04181"/></url>
<url><loc>https://scifaro.com/en/abs/mml-is-not-consistent-for-neyman-scott-1610.04336</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mml-is-not-consistent-for-neyman-scott-1610.04336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mml-is-not-consistent-for-neyman-scott-1610.04336"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-graph-embedding-approach-to-dynamic-link-prediction-1610.04351</loc><lastmod>2016-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-graph-embedding-approach-to-dynamic-link-prediction-1610.04351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-graph-embedding-approach-to-dynamic-link-prediction-1610.04351"/></url>
<url><loc>https://scifaro.com/en/abs/aboveground-biomass-mapping-in-french-guiana-by-combining-remote-sensing-forest-inventories-and-environmental-data-1610.04371</loc><lastmod>2016-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aboveground-biomass-mapping-in-french-guiana-by-combining-remote-sensing-forest-inventories-and-environmental-data-1610.04371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aboveground-biomass-mapping-in-french-guiana-by-combining-remote-sensing-forest-inventories-and-environmental-data-1610.04371"/></url>
<url><loc>https://scifaro.com/en/abs/random-feature-expansions-for-deep-gaussian-processes-1610.04386</loc><lastmod>2017-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-feature-expansions-for-deep-gaussian-processes-1610.04386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-feature-expansions-for-deep-gaussian-processes-1610.04386"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-analysis-of-domain-adaptation-with-optimal-transport-1610.04420</loc><lastmod>2017-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-analysis-of-domain-adaptation-with-optimal-transport-1610.04420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-analysis-of-domain-adaptation-with-optimal-transport-1610.04420"/></url>
<url><loc>https://scifaro.com/en/abs/the-end-of-optimism-an-asymptotic-analysis-of-finite-armed-linear-bandits-1610.04491</loc><lastmod>2016-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-end-of-optimism-an-asymptotic-analysis-of-finite-armed-linear-bandits-1610.04491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-end-of-optimism-an-asymptotic-analysis-of-finite-armed-linear-bandits-1610.04491"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-error-of-invariant-classifiers-1610.04574</loc><lastmod>2017-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-error-of-invariant-classifiers-1610.04574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-error-of-invariant-classifiers-1610.04574"/></url>
<url><loc>https://scifaro.com/en/abs/improved-strongly-adaptive-online-learning-using-coin-betting-1610.04578</loc><lastmod>2017-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-strongly-adaptive-online-learning-using-coin-betting-1610.04578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-strongly-adaptive-online-learning-using-coin-betting-1610.04578"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneous-learning-of-trees-and-representations-for-extreme-classification-and-density-estimation-1610.04658</loc><lastmod>2017-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneous-learning-of-trees-and-representations-for-extreme-classification-and-density-estimation-1610.04658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneous-learning-of-trees-and-representations-for-extreme-classification-and-density-estimation-1610.04658"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-clustering-under-the-union-of-polyhedral-cones-uopc-model-1610.04751</loc><lastmod>2017-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-clustering-under-the-union-of-polyhedral-cones-uopc-model-1610.04751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-clustering-under-the-union-of-polyhedral-cones-uopc-model-1610.04751"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-test-of-independence-with-analytic-kernel-embeddings-1610.04782</loc><lastmod>2016-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-test-of-independence-with-analytic-kernel-embeddings-1610.04782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-test-of-independence-with-analytic-kernel-embeddings-1610.04782"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-distributed-sparse-linear-discriminant-analysis-1610.04798</loc><lastmod>2016-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-distributed-sparse-linear-discriminant-analysis-1610.04798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-distributed-sparse-linear-discriminant-analysis-1610.04798"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-stacked-generalization-for-node-classification-on-networks-1610.04804</loc><lastmod>2016-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-stacked-generalization-for-node-classification-on-networks-1610.04804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-stacked-generalization-for-node-classification-on-networks-1610.04804"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-low-rank-density-matrices-by-pauli-measurements-1610.04811</loc><lastmod>2017-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-low-rank-density-matrices-by-pauli-measurements-1610.04811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-low-rank-density-matrices-by-pauli-measurements-1610.04811"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-dimensionality-reduction-via-structure-learning-1610.04929</loc><lastmod>2016-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-dimensionality-reduction-via-structure-learning-1610.04929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-dimensionality-reduction-via-structure-learning-1610.04929"/></url>
<url><loc>https://scifaro.com/en/abs/the-xyz-algorithm-for-fast-interaction-search-in-high-dimensional-data-1610.05108</loc><lastmod>2018-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-xyz-algorithm-for-fast-interaction-search-in-high-dimensional-data-1610.05108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-xyz-algorithm-for-fast-interaction-search-in-high-dimensional-data-1610.05108"/></url>
<url><loc>https://scifaro.com/en/abs/the-peaking-phenomenon-in-semi-supervised-learning-1610.05160</loc><lastmod>2016-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-peaking-phenomenon-in-semi-supervised-learning-1610.05160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-peaking-phenomenon-in-semi-supervised-learning-1610.05160"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-gaussian-processes-modeling-of-dynamical-systems-in-systems-biology-1610.05163</loc><lastmod>2016-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-gaussian-processes-modeling-of-dynamical-systems-in-systems-biology-1610.05163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-gaussian-processes-modeling-of-dynamical-systems-in-systems-biology-1610.05163"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-importance-sampling-1610.05247</loc><lastmod>2016-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-importance-sampling-1610.05247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-importance-sampling-1610.05247"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-computational-and-statistical-framework-for-nonconvex-low-rank-matrix-estimation-1610.05275</loc><lastmod>2016-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-computational-and-statistical-framework-for-nonconvex-low-rank-matrix-estimation-1610.05275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-computational-and-statistical-framework-for-nonconvex-low-rank-matrix-estimation-1610.05275"/></url>
<url><loc>https://scifaro.com/en/abs/autogp-exploring-the-capabilities-and-limitations-of-gaussian-process-models-1610.05392</loc><lastmod>2017-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autogp-exploring-the-capabilities-and-limitations-of-gaussian-process-models-1610.05392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autogp-exploring-the-capabilities-and-limitations-of-gaussian-process-models-1610.05392"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-error-minimization-a-new-approach-to-model-evaluation-and-selection-with-an-application-to-penalized-regression-1610.05448</loc><lastmod>2016-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-error-minimization-a-new-approach-to-model-evaluation-and-selection-with-an-application-to-penalized-regression-1610.05448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-error-minimization-a-new-approach-to-model-evaluation-and-selection-with-an-application-to-penalized-regression-1610.05448"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-assortment-personalization-in-high-dimensions-1610.05604</loc><lastmod>2019-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-assortment-personalization-in-high-dimensions-1610.05604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-assortment-personalization-in-high-dimensions-1610.05604"/></url>
<url><loc>https://scifaro.com/en/abs/markov-chain-truncation-for-doubly-intractable-inference-1610.05672</loc><lastmod>2017-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-chain-truncation-for-doubly-intractable-inference-1610.05672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-chain-truncation-for-doubly-intractable-inference-1610.05672"/></url>
<url><loc>https://scifaro.com/en/abs/reparameterization-gradients-through-acceptance-rejection-sampling-algorithms-1610.05683</loc><lastmod>2020-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reparameterization-gradients-through-acceptance-rejection-sampling-algorithms-1610.05683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reparameterization-gradients-through-acceptance-rejection-sampling-algorithms-1610.05683"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-knowledge-transfer-for-deep-learning-from-private-training-data-1610.05755</loc><lastmod>2017-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-knowledge-transfer-for-deep-learning-from-private-training-data-1610.05755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-knowledge-transfer-for-deep-learning-from-private-training-data-1610.05755"/></url>
<url><loc>https://scifaro.com/en/abs/redqueen-an-online-algorithm-for-smart-broadcasting-in-social-networks-1610.05773</loc><lastmod>2016-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/redqueen-an-online-algorithm-for-smart-broadcasting-in-social-networks-1610.05773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/redqueen-an-online-algorithm-for-smart-broadcasting-in-social-networks-1610.05773"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-the-dynamics-of-online-learning-activity-1610.05775</loc><lastmod>2016-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-the-dynamics-of-online-learning-activity-1610.05775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-the-dynamics-of-online-learning-activity-1610.05775"/></url>
<url><loc>https://scifaro.com/en/abs/learning-determinantal-point-processes-in-sublinear-time-1610.05925</loc><lastmod>2016-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-determinantal-point-processes-in-sublinear-time-1610.05925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-determinantal-point-processes-in-sublinear-time-1610.05925"/></url>
<url><loc>https://scifaro.com/en/abs/consistent-kernel-mean-estimation-for-functions-of-random-variables-1610.05950</loc><lastmod>2018-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-kernel-mean-estimation-for-functions-of-random-variables-1610.05950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-kernel-mean-estimation-for-functions-of-random-variables-1610.05950"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-by-connection-center-evolution-1610.05956</loc><lastmod>2016-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-by-connection-center-evolution-1610.05956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-by-connection-center-evolution-1610.05956"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-parallel-bayesian-model-selection-1610.06194</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-parallel-bayesian-model-selection-1610.06194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-parallel-bayesian-model-selection-1610.06194"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-ica-performance-by-exploiting-sparsity-application-to-fmri-analysis-1610.06235</loc><lastmod>2016-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-ica-performance-by-exploiting-sparsity-application-to-fmri-analysis-1610.06235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-ica-performance-by-exploiting-sparsity-application-to-fmri-analysis-1610.06235"/></url>
<url><loc>https://scifaro.com/en/abs/using-fast-weights-to-attend-to-the-recent-past-1610.06258</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-fast-weights-to-attend-to-the-recent-past-1610.06258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-fast-weights-to-attend-to-the-recent-past-1610.06258"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-alignment-for-unsupervised-transfer-learning-1610.06434</loc><lastmod>2016-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-alignment-for-unsupervised-transfer-learning-1610.06434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-alignment-for-unsupervised-transfer-learning-1610.06434"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-optimal-transport-and-the-rot-mover-s-distance-1610.06447</loc><lastmod>2018-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-optimal-transport-and-the-rot-mover-s-distance-1610.06447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-optimal-transport-and-the-rot-mover-s-distance-1610.06447"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-estimation-of-compressible-state-space-models-with-application-to-calcium-signal-deconvolution-1610.06461</loc><lastmod>2016-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-estimation-of-compressible-state-space-models-with-application-to-calcium-signal-deconvolution-1610.06461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-estimation-of-compressible-state-space-models-with-application-to-calcium-signal-deconvolution-1610.06461"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-modeling-in-approximate-bayesian-computation-to-estimate-horizontal-gene-transfer-in-bacteria-1610.06462</loc><lastmod>2018-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-modeling-in-approximate-bayesian-computation-to-estimate-horizontal-gene-transfer-in-bacteria-1610.06462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-modeling-in-approximate-bayesian-computation-to-estimate-horizontal-gene-transfer-in-bacteria-1610.06462"/></url>
<url><loc>https://scifaro.com/en/abs/choicerank-identifying-preferences-from-node-traffic-in-networks-1610.06525</loc><lastmod>2017-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/choicerank-identifying-preferences-from-node-traffic-in-networks-1610.06525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/choicerank-identifying-preferences-from-node-traffic-in-networks-1610.06525"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-classifier-two-sample-tests-1610.06545</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-classifier-two-sample-tests-1610.06545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-classifier-two-sample-tests-1610.06545"/></url>
<url><loc>https://scifaro.com/en/abs/single-pass-pca-of-matrix-products-1610.06656</loc><lastmod>2016-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/single-pass-pca-of-matrix-products-1610.06656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/single-pass-pca-of-matrix-products-1610.06656"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-mcmc-with-stale-gradients-1610.06664</loc><lastmod>2016-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-mcmc-with-stale-gradients-1610.06664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-mcmc-with-stale-gradients-1610.06664"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-stochastic-gradient-mcmc-algorithms-with-high-order-integrators-1610.06665</loc><lastmod>2016-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-stochastic-gradient-mcmc-algorithms-with-high-order-integrators-1610.06665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-stochastic-gradient-mcmc-algorithms-with-high-order-integrators-1610.06665"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-error-of-interpolation-and-optimal-design-of-experiments-for-variable-fidelity-data-1610.06731</loc><lastmod>2017-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-error-of-interpolation-and-optimal-design-of-experiments-for-variable-fidelity-data-1610.06731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-error-of-interpolation-and-optimal-design-of-experiments-for-variable-fidelity-data-1610.06731"/></url>
<url><loc>https://scifaro.com/en/abs/maximally-divergent-intervals-for-anomaly-detection-1610.06761</loc><lastmod>2016-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximally-divergent-intervals-for-anomaly-detection-1610.06761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximally-divergent-intervals-for-anomaly-detection-1610.06761"/></url>
<url><loc>https://scifaro.com/en/abs/variational-koopman-models-slow-collective-variables-and-molecular-kinetics-from-short-off-equilibrium-simulations-1610.06773</loc><lastmod>2017-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-koopman-models-slow-collective-variables-and-molecular-kinetics-from-short-off-equilibrium-simulations-1610.06773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-koopman-models-slow-collective-variables-and-molecular-kinetics-from-short-off-equilibrium-simulations-1610.06773"/></url>
<url><loc>https://scifaro.com/en/abs/dictionary-learning-strategies-for-compressed-fiber-sensing-using-a-probabilistic-sparse-model-1610.06902</loc><lastmod>2016-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dictionary-learning-strategies-for-compressed-fiber-sensing-using-a-probabilistic-sparse-model-1610.06902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dictionary-learning-strategies-for-compressed-fiber-sensing-using-a-probabilistic-sparse-model-1610.06902"/></url>
<url><loc>https://scifaro.com/en/abs/mean-field-variational-inference-for-gradient-matching-with-gaussian-processes-1610.06949</loc><lastmod>2016-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-field-variational-inference-for-gradient-matching-with-gaussian-processes-1610.06949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-field-variational-inference-for-gradient-matching-with-gaussian-processes-1610.06949"/></url>
<url><loc>https://scifaro.com/en/abs/independent-component-analysis-by-entropy-maximization-with-kernels-1610.07104</loc><lastmod>2016-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/independent-component-analysis-by-entropy-maximization-with-kernels-1610.07104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/independent-component-analysis-by-entropy-maximization-with-kernels-1610.07104"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-reliable-parameter-estimation-from-nonlinear-observations-1610.07108</loc><lastmod>2016-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-reliable-parameter-estimation-from-nonlinear-observations-1610.07108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-reliable-parameter-estimation-from-nonlinear-observations-1610.07108"/></url>
<url><loc>https://scifaro.com/en/abs/online-classification-with-complex-metrics-1610.07116</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-classification-with-complex-metrics-1610.07116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-classification-with-complex-metrics-1610.07116"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-architectures-for-interaction-prediction-in-structure-based-virtual-screening-1610.07187</loc><lastmod>2017-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-architectures-for-interaction-prediction-in-structure-based-virtual-screening-1610.07187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-architectures-for-interaction-prediction-in-structure-based-virtual-screening-1610.07187"/></url>
<url><loc>https://scifaro.com/en/abs/simpler-pac-bayesian-bounds-for-hostile-data-1610.07193</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simpler-pac-bayesian-bounds-for-hostile-data-1610.07193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simpler-pac-bayesian-bounds-for-hostile-data-1610.07193"/></url>
<url><loc>https://scifaro.com/en/abs/inertial-regularization-and-selection-irs-sequential-regression-in-high-dimension-and-sparsity-1610.07216</loc><lastmod>2017-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inertial-regularization-and-selection-irs-sequential-regression-in-high-dimension-and-sparsity-1610.07216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inertial-regularization-and-selection-irs-sequential-regression-in-high-dimension-and-sparsity-1610.07216"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-nonparametric-modeling-of-heterogeneous-groups-of-censored-data-1610.07262</loc><lastmod>2016-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-nonparametric-modeling-of-heterogeneous-groups-of-censored-data-1610.07262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-nonparametric-modeling-of-heterogeneous-groups-of-censored-data-1610.07262"/></url>
<url><loc>https://scifaro.com/en/abs/truncated-variance-reduction-a-unified-approach-to-bayesian-optimization-and-level-set-estimation-1610.07379</loc><lastmod>2016-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/truncated-variance-reduction-a-unified-approach-to-bayesian-optimization-and-level-set-estimation-1610.07379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/truncated-variance-reduction-a-unified-approach-to-bayesian-optimization-and-level-set-estimation-1610.07379"/></url>
<url><loc>https://scifaro.com/en/abs/c-mix-a-high-dimensional-mixture-model-for-censored-durations-with-applications-to-genetic-data-1610.07407</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/c-mix-a-high-dimensional-mixture-model-for-censored-durations-with-applications-to-genetic-data-1610.07407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/c-mix-a-high-dimensional-mixture-model-for-censored-durations-with-applications-to-genetic-data-1610.07407"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-parallel-and-distributed-training-of-neural-networks-1610.07448</loc><lastmod>2017-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-parallel-and-distributed-training-of-neural-networks-1610.07448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-parallel-and-distributed-training-of-neural-networks-1610.07448"/></url>
<url><loc>https://scifaro.com/en/abs/a-theoretical-analysis-of-noisy-sparse-subspace-clustering-on-dimensionality-reduced-data-1610.07650</loc><lastmod>2019-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theoretical-analysis-of-noisy-sparse-subspace-clustering-on-dimensionality-reduced-data-1610.07650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theoretical-analysis-of-noisy-sparse-subspace-clustering-on-dimensionality-reduced-data-1610.07650"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-ensemble-for-unsupervised-anomaly-detection-1610.07677</loc><lastmod>2016-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-ensemble-for-unsupervised-anomaly-detection-1610.07677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-ensemble-for-unsupervised-anomaly-detection-1610.07677"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-cross-validation-formula-for-bayesian-linear-regression-1610.07733</loc><lastmod>2016-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-cross-validation-formula-for-bayesian-linear-regression-1610.07733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-cross-validation-formula-for-bayesian-linear-regression-1610.07733"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-rate-of-the-three-operator-splitting-scheme-1610.07830</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-rate-of-the-three-operator-splitting-scheme-1610.07830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-rate-of-the-three-operator-splitting-scheme-1610.07830"/></url>
<url><loc>https://scifaro.com/en/abs/formulas-for-counting-the-sizes-of-markov-equivalence-classes-of-directed-acyclic-graphs-1610.07921</loc><lastmod>2016-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/formulas-for-counting-the-sizes-of-markov-equivalence-classes-of-directed-acyclic-graphs-1610.07921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/formulas-for-counting-the-sizes-of-markov-equivalence-classes-of-directed-acyclic-graphs-1610.07921"/></url>
<url><loc>https://scifaro.com/en/abs/parallelizable-sparse-inverse-formulation-gaussian-processes-spingp-1610.08035</loc><lastmod>2017-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallelizable-sparse-inverse-formulation-gaussian-processes-spingp-1610.08035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallelizable-sparse-inverse-formulation-gaussian-processes-spingp-1610.08035"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-kernels-for-popular-state-space-time-series-models-1610.08074</loc><lastmod>2016-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-kernels-for-popular-state-space-time-series-models-1610.08074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-kernels-for-popular-state-space-time-series-models-1610.08074"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-framework-for-fair-predictive-algorithms-1610.08077</loc><lastmod>2016-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-framework-for-fair-predictive-algorithms-1610.08077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-framework-for-fair-predictive-algorithms-1610.08077"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-measurement-of-vowel-duration-via-structured-prediction-1610.08166</loc><lastmod>2017-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-measurement-of-vowel-duration-via-structured-prediction-1610.08166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-measurement-of-vowel-duration-via-structured-prediction-1610.08166"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-decompositions-for-identifying-directed-graph-topologies-and-tracking-dynamic-networks-1610.08189</loc><lastmod>2017-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-decompositions-for-identifying-directed-graph-topologies-and-tracking-dynamic-networks-1610.08189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-decompositions-for-identifying-directed-graph-topologies-and-tracking-dynamic-networks-1610.08189"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-beyond-disparate-treatment-disparate-impact-learning-classification-without-disparate-mistreatment-1610.08452</loc><lastmod>2017-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-beyond-disparate-treatment-disparate-impact-learning-classification-without-disparate-mistreatment-1610.08452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-beyond-disparate-treatment-disparate-impact-learning-classification-without-disparate-mistreatment-1610.08452"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-latent-structure-discovery-from-multi-neuron-recordings-1610.08465</loc><lastmod>2016-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-latent-structure-discovery-from-multi-neuron-recordings-1610.08465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-latent-structure-discovery-from-multi-neuron-recordings-1610.08465"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-switching-linear-dynamical-systems-1610.08466</loc><lastmod>2016-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-switching-linear-dynamical-systems-1610.08466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-switching-linear-dynamical-systems-1610.08466"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-the-size-of-a-large-network-and-its-communities-from-a-random-sample-1610.08473</loc><lastmod>2016-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-the-size-of-a-large-network-and-its-communities-from-a-random-sample-1610.08473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-the-size-of-a-large-network-and-its-communities-from-a-random-sample-1610.08473"/></url>
<url><loc>https://scifaro.com/en/abs/causal-network-learning-from-multiple-interventions-of-unknown-manipulated-targets-1610.08611</loc><lastmod>2016-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-network-learning-from-multiple-interventions-of-unknown-manipulated-targets-1610.08611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-network-learning-from-multiple-interventions-of-unknown-manipulated-targets-1610.08611"/></url>
<url><loc>https://scifaro.com/en/abs/poisson-intensity-estimation-with-reproducing-kernels-1610.08623</loc><lastmod>2017-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poisson-intensity-estimation-with-reproducing-kernels-1610.08623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poisson-intensity-estimation-with-reproducing-kernels-1610.08623"/></url>
<url><loc>https://scifaro.com/en/abs/regret-bounds-for-lifelong-learning-1610.08628</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-bounds-for-lifelong-learning-1610.08628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-bounds-for-lifelong-learning-1610.08628"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-inference-for-model-parameters-in-stochastic-gradient-descent-1610.08637</loc><lastmod>2023-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-inference-for-model-parameters-in-stochastic-gradient-descent-1610.08637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-inference-for-model-parameters-in-stochastic-gradient-descent-1610.08637"/></url>
<url><loc>https://scifaro.com/en/abs/learning-bound-for-parameter-transfer-learning-1610.08696</loc><lastmod>2017-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-bound-for-parameter-transfer-learning-1610.08696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-bound-for-parameter-transfer-learning-1610.08696"/></url>
<url><loc>https://scifaro.com/en/abs/gpflow-a-gaussian-process-library-using-tensorflow-1610.08733</loc><lastmod>2016-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gpflow-a-gaussian-process-library-using-tensorflow-1610.08733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gpflow-a-gaussian-process-library-using-tensorflow-1610.08733"/></url>
<url><loc>https://scifaro.com/en/abs/stratification-of-patient-trajectories-using-covariate-latent-variable-models-1610.08735</loc><lastmod>2017-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stratification-of-patient-trajectories-using-covariate-latent-variable-models-1610.08735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stratification-of-patient-trajectories-using-covariate-latent-variable-models-1610.08735"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-variational-inference-for-non-conjugate-models-1610.08749</loc><lastmod>2017-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-variational-inference-for-non-conjugate-models-1610.08749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-variational-inference-for-non-conjugate-models-1610.08749"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-signal-subspace-decomposition-based-on-adaptive-over-complete-dictionary-1610.08813</loc><lastmod>2016-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-signal-subspace-decomposition-based-on-adaptive-over-complete-dictionary-1610.08813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-signal-subspace-decomposition-based-on-adaptive-over-complete-dictionary-1610.08813"/></url>
<url><loc>https://scifaro.com/en/abs/a-category-space-approach-to-supervised-dimensionality-reduction-1610.08838</loc><lastmod>2016-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-category-space-approach-to-supervised-dimensionality-reduction-1610.08838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-category-space-approach-to-supervised-dimensionality-reduction-1610.08838"/></url>
<url><loc>https://scifaro.com/en/abs/on-bochner-s-and-polya-s-characterizations-of-positive-definite-kernels-and-the-respective-random-feature-maps-1610.08861</loc><lastmod>2016-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-bochner-s-and-polya-s-characterizations-of-positive-definite-kernels-and-the-respective-random-feature-maps-1610.08861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-bochner-s-and-polya-s-characterizations-of-positive-definite-kernels-and-the-respective-random-feature-maps-1610.08861"/></url>
<url><loc>https://scifaro.com/en/abs/voice-conversion-using-convolutional-neural-networks-1610.08927</loc><lastmod>2016-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/voice-conversion-using-convolutional-neural-networks-1610.08927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/voice-conversion-using-convolutional-neural-networks-1610.08927"/></url>
<url><loc>https://scifaro.com/en/abs/rapid-posterior-exploration-in-bayesian-non-negative-matrix-factorization-1610.08928</loc><lastmod>2016-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapid-posterior-exploration-in-bayesian-non-negative-matrix-factorization-1610.08928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapid-posterior-exploration-in-bayesian-non-negative-matrix-factorization-1610.08928"/></url>
<url><loc>https://scifaro.com/en/abs/operator-variational-inference-1610.09033</loc><lastmod>2018-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/operator-variational-inference-1610.09033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/operator-variational-inference-1610.09033"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-dirichlet-means-algorithm-for-topic-inference-1610.09034</loc><lastmod>2016-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-dirichlet-means-algorithm-for-topic-inference-1610.09034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-dirichlet-means-algorithm-for-topic-inference-1610.09034"/></url>
<url><loc>https://scifaro.com/en/abs/professor-forcing-a-new-algorithm-for-training-recurrent-networks-1610.09038</loc><lastmod>2016-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/professor-forcing-a-new-algorithm-for-training-recurrent-networks-1610.09038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/professor-forcing-a-new-algorithm-for-training-recurrent-networks-1610.09038"/></url>
<url><loc>https://scifaro.com/en/abs/missing-data-imputation-for-supervised-learning-1610.09075</loc><lastmod>2020-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/missing-data-imputation-for-supervised-learning-1610.09075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/missing-data-imputation-for-supervised-learning-1610.09075"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-regularization-for-lasso-models-in-the-context-of-non-stationary-data-streams-1610.09127</loc><lastmod>2017-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-regularization-for-lasso-models-in-the-context-of-non-stationary-data-streams-1610.09127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-regularization-for-lasso-models-in-the-context-of-non-stationary-data-streams-1610.09127"/></url>
<url><loc>https://scifaro.com/en/abs/fuzzy-bayesian-learning-1610.09156</loc><lastmod>2018-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fuzzy-bayesian-learning-1610.09156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fuzzy-bayesian-learning-1610.09156"/></url>
<url><loc>https://scifaro.com/en/abs/homotopy-analysis-for-tensor-pca-1610.09322</loc><lastmod>2017-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/homotopy-analysis-for-tensor-pca-1610.09322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/homotopy-analysis-for-tensor-pca-1610.09322"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-matrix-recovery-from-incomplete-observations-under-an-exact-low-rank-constraint-1610.09420</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-matrix-recovery-from-incomplete-observations-under-an-exact-low-rank-constraint-1610.09420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-matrix-recovery-from-incomplete-observations-under-an-exact-low-rank-constraint-1610.09420"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-multiblock-method-for-structured-variable-selection-1610.09490</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-multiblock-method-for-structured-variable-selection-1610.09490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-multiblock-method-for-structured-variable-selection-1610.09490"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-image-synthesis-with-auxiliary-classifier-gans-1610.09585</loc><lastmod>2017-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-image-synthesis-with-auxiliary-classifier-gans-1610.09585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-image-synthesis-with-auxiliary-classifier-gans-1610.09585"/></url>
<url><loc>https://scifaro.com/en/abs/super-resolution-estimation-of-cyclic-arrival-rates-1610.09600</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/super-resolution-estimation-of-cyclic-arrival-rates-1610.09600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/super-resolution-estimation-of-cyclic-arrival-rates-1610.09600"/></url>
<url><loc>https://scifaro.com/en/abs/auxiliary-gradient-based-sampling-algorithms-1610.09641</loc><lastmod>2018-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auxiliary-gradient-based-sampling-algorithms-1610.09641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auxiliary-gradient-based-sampling-algorithms-1610.09641"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-and-measuring-non-linear-correlations-copulas-lightspeed-transportation-and-clustering-1610.09659</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-and-measuring-non-linear-correlations-copulas-lightspeed-transportation-and-clustering-1610.09659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-and-measuring-non-linear-correlations-copulas-lightspeed-transportation-and-clustering-1610.09659"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-nonstationary-time-series-using-locally-coupled-gaussian-processes-1610.09838</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-nonstationary-time-series-using-locally-coupled-gaussian-processes-1610.09838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-nonstationary-time-series-using-locally-coupled-gaussian-processes-1610.09838"/></url>
<url><loc>https://scifaro.com/en/abs/complex-valued-kernel-methods-for-regression-1610.09915</loc><lastmod>2018-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complex-valued-kernel-methods-for-regression-1610.09915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complex-valued-kernel-methods-for-regression-1610.09915"/></url>
<url><loc>https://scifaro.com/en/abs/function-driven-diffusion-for-personalized-counterfactual-inference-1610.10025</loc><lastmod>2017-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/function-driven-diffusion-for-personalized-counterfactual-inference-1610.10025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/function-driven-diffusion-for-personalized-counterfactual-inference-1610.10025"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-for-large-scale-machine-learning-with-distributed-features-and-observations-1610.10060</loc><lastmod>2017-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-for-large-scale-machine-learning-with-distributed-features-and-observations-1610.10060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-for-large-scale-machine-learning-with-distributed-features-and-observations-1610.10060"/></url>
<url><loc>https://scifaro.com/en/abs/the-case-for-temporal-transparency-detecting-policy-change-events-in-black-box-decision-making-systems-1610.10064</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-case-for-temporal-transparency-detecting-policy-change-events-in-black-box-decision-making-systems-1610.10064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-case-for-temporal-transparency-detecting-policy-change-events-in-black-box-decision-making-systems-1610.10064"/></url>
<url><loc>https://scifaro.com/en/abs/full-capacity-unitary-recurrent-neural-networks-1611.00035</loc><lastmod>2016-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/full-capacity-unitary-recurrent-neural-networks-1611.00035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/full-capacity-unitary-recurrent-neural-networks-1611.00035"/></url>
<url><loc>https://scifaro.com/en/abs/causal-compression-1611.00261</loc><lastmod>2016-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-compression-1611.00261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-compression-1611.00261"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-via-chi-upper-bound-minimization-1611.00328</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-via-chi-upper-bound-minimization-1611.00328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-via-chi-upper-bound-minimization-1611.00328"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-variational-deep-kernel-learning-1611.00336</loc><lastmod>2016-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-variational-deep-kernel-learning-1611.00336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-variational-deep-kernel-learning-1611.00336"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bayes-in-private-settings-vips-1611.00340</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayes-in-private-settings-vips-1611.00340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayes-in-private-settings-vips-1611.00340"/></url>
<url><loc>https://scifaro.com/en/abs/sensitivity-maps-of-the-hilbert-schmidt-independence-criterion-1611.00555</loc><lastmod>2016-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sensitivity-maps-of-the-hilbert-schmidt-independence-criterion-1611.00555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sensitivity-maps-of-the-hilbert-schmidt-independence-criterion-1611.00555"/></url>
<url><loc>https://scifaro.com/en/abs/learning-methods-for-dynamic-topic-modeling-in-automated-behaviour-analysis-1611.00565</loc><lastmod>2017-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-methods-for-dynamic-topic-modeling-in-automated-behaviour-analysis-1611.00565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-methods-for-dynamic-topic-modeling-in-automated-behaviour-analysis-1611.00565"/></url>
<url><loc>https://scifaro.com/en/abs/improving-variational-methods-via-pairwise-linear-response-identities-1611.00683</loc><lastmod>2017-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-variational-methods-via-pairwise-linear-response-identities-1611.00683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-variational-methods-via-pairwise-linear-response-identities-1611.00683"/></url>
<url><loc>https://scifaro.com/en/abs/cross-validation-based-nonlinear-shrinkage-1611.00798</loc><lastmod>2016-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-validation-based-nonlinear-shrinkage-1611.00798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-validation-based-nonlinear-shrinkage-1611.00798"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-processes-for-survival-analysis-1611.00817</loc><lastmod>2016-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-processes-for-survival-analysis-1611.00817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-processes-for-survival-analysis-1611.00817"/></url>
<url><loc>https://scifaro.com/en/abs/initialization-and-coordinate-optimization-for-multi-way-matching-1611.00838</loc><lastmod>2019-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/initialization-and-coordinate-optimization-for-multi-way-matching-1611.00838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/initialization-and-coordinate-optimization-for-multi-way-matching-1611.00838"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-decomposition-via-variational-auto-encoder-1611.00866</loc><lastmod>2016-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-decomposition-via-variational-auto-encoder-1611.00866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-decomposition-via-variational-auto-encoder-1611.00866"/></url>
<url><loc>https://scifaro.com/en/abs/multitask-protein-function-prediction-through-task-dissimilarity-1611.00962</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multitask-protein-function-prediction-through-task-dissimilarity-1611.00962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multitask-protein-function-prediction-through-task-dissimilarity-1611.00962"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-pivot-with-adversarial-networks-1611.01046</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-pivot-with-adversarial-networks-1611.01046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-pivot-with-adversarial-networks-1611.01046"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-community-detection-in-heterogeneous-large-networks-1611.01096</loc><lastmod>2016-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-community-detection-in-heterogeneous-large-networks-1611.01096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-community-detection-in-heterogeneous-large-networks-1611.01096"/></url>
<url><loc>https://scifaro.com/en/abs/categorical-reparameterization-with-gumbel-softmax-1611.01144</loc><lastmod>2017-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/categorical-reparameterization-with-gumbel-softmax-1611.01144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/categorical-reparameterization-with-gumbel-softmax-1611.01144"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-geometric-multiscale-approximations-for-intrinsically-low-dimensional-data-1611.01179</loc><lastmod>2017-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-geometric-multiscale-approximations-for-intrinsically-low-dimensional-data-1611.01179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-geometric-multiscale-approximations-for-intrinsically-low-dimensional-data-1611.01179"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optical-flow-with-uncertainty-quantification-1611.01230</loc><lastmod>2018-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optical-flow-with-uncertainty-quantification-1611.01230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optical-flow-with-uncertainty-quantification-1611.01230"/></url>
<url><loc>https://scifaro.com/en/abs/deep-information-propagation-1611.01232</loc><lastmod>2017-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-information-propagation-1611.01232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-information-propagation-1611.01232"/></url>
<url><loc>https://scifaro.com/en/abs/reparameterization-trick-for-discrete-variables-1611.01239</loc><lastmod>2016-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reparameterization-trick-for-discrete-variables-1611.01239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reparameterization-trick-for-discrete-variables-1611.01239"/></url>
<url><loc>https://scifaro.com/en/abs/information-dropout-learning-optimal-representations-through-noisy-computation-1611.01353</loc><lastmod>2017-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-dropout-learning-optimal-representations-through-noisy-computation-1611.01353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-dropout-learning-optimal-representations-through-noisy-computation-1611.01353"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-causal-direction-and-confounding-of-two-discrete-variables-1611.01504</loc><lastmod>2016-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-causal-direction-and-confounding-of-two-discrete-variables-1611.01504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-causal-direction-and-confounding-of-two-discrete-variables-1611.01504"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-for-fitting-the-constrained-lasso-1611.01511</loc><lastmod>2016-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-for-fitting-the-constrained-lasso-1611.01511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-for-fitting-the-constrained-lasso-1611.01511"/></url>
<url><loc>https://scifaro.com/en/abs/topology-and-geometry-of-half-rectified-network-optimization-1611.01540</loc><lastmod>2017-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topology-and-geometry-of-half-rectified-network-optimization-1611.01540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topology-and-geometry-of-half-rectified-network-optimization-1611.01540"/></url>
<url><loc>https://scifaro.com/en/abs/classification-with-ultrahigh-dimensional-features-1611.01541</loc><lastmod>2016-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-with-ultrahigh-dimensional-features-1611.01541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-with-ultrahigh-dimensional-features-1611.01541"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-dependencies-in-sparse-multivariate-databases-using-probabilistic-programming-and-non-parametric-bayes-1611.01708</loc><lastmod>2018-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-dependencies-in-sparse-multivariate-databases-using-probabilistic-programming-and-non-parametric-bayes-1611.01708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-dependencies-in-sparse-multivariate-databases-using-probabilistic-programming-and-non-parametric-bayes-1611.01708"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-draw-samples-with-application-to-amortized-mle-for-generative-adversarial-learning-1611.01722</loc><lastmod>2016-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-draw-samples-with-application-to-amortized-mle-for-generative-adversarial-learning-1611.01722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-draw-samples-with-application-to-amortized-mle-for-generative-adversarial-learning-1611.01722"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-perform-physics-experiments-via-deep-reinforcement-learning-1611.01843</loc><lastmod>2017-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-perform-physics-experiments-via-deep-reinforcement-learning-1611.01843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-perform-physics-experiments-via-deep-reinforcement-learning-1611.01843"/></url>
<url><loc>https://scifaro.com/en/abs/urban-mv-and-lv-distribution-grid-topology-estimation-via-group-lasso-1611.01845</loc><lastmod>2018-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/urban-mv-and-lv-distribution-grid-topology-estimation-via-group-lasso-1611.01845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/urban-mv-and-lv-distribution-grid-topology-estimation-via-group-lasso-1611.01845"/></url>
<url><loc>https://scifaro.com/en/abs/joint-multimodal-learning-with-deep-generative-models-1611.01891</loc><lastmod>2016-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-multimodal-learning-with-deep-generative-models-1611.01891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-multimodal-learning-with-deep-generative-models-1611.01891"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-rates-for-the-regularized-learning-algorithms-under-general-source-condition-1611.01900</loc><lastmod>2017-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-rates-for-the-regularized-learning-algorithms-under-general-source-condition-1611.01900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-rates-for-the-regularized-learning-algorithms-under-general-source-condition-1611.01900"/></url>
<url><loc>https://scifaro.com/en/abs/linear-convergence-of-svrg-in-statistical-estimation-1611.01957</loc><lastmod>2017-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-convergence-of-svrg-in-statistical-estimation-1611.01957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-convergence-of-svrg-in-statistical-estimation-1611.01957"/></url>
<url><loc>https://scifaro.com/en/abs/one-class-splitting-criteria-for-random-forests-1611.01971</loc><lastmod>2016-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-class-splitting-criteria-for-random-forests-1611.01971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-class-splitting-criteria-for-random-forests-1611.01971"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-analysis-of-distributed-inference-with-vector-valued-gaussian-belief-propagation-1611.02010</loc><lastmod>2018-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-analysis-of-distributed-inference-with-vector-valued-gaussian-belief-propagation-1611.02010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-analysis-of-distributed-inference-with-vector-valued-gaussian-belief-propagation-1611.02010"/></url>
<url><loc>https://scifaro.com/en/abs/does-distributionally-robust-supervised-learning-give-robust-classifiers-1611.02041</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-distributionally-robust-supervised-learning-give-robust-classifiers-1611.02041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-distributionally-robust-supervised-learning-give-robust-classifiers-1611.02041"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-coordinate-descent-for-generalized-linear-models-with-regularization-1611.02101</loc><lastmod>2017-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-coordinate-descent-for-generalized-linear-models-with-regularization-1611.02101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-coordinate-descent-for-generalized-linear-models-with-regularization-1611.02101"/></url>
<url><loc>https://scifaro.com/en/abs/using-social-dynamics-to-make-individual-predictions-variational-inference-with-a-stochastic-kinetic-model-1611.02181</loc><lastmod>2016-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-social-dynamics-to-make-individual-predictions-variational-inference-with-a-stochastic-kinetic-model-1611.02181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-social-dynamics-to-make-individual-predictions-variational-inference-with-a-stochastic-kinetic-model-1611.02181"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-optimal-semi-supervised-regression-on-unknown-manifolds-1611.02221</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-optimal-semi-supervised-regression-on-unknown-manifolds-1611.02221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-optimal-semi-supervised-regression-on-unknown-manifolds-1611.02221"/></url>
<url><loc>https://scifaro.com/en/abs/learning-time-series-detection-models-from-temporally-imprecise-labels-1611.02258</loc><lastmod>2017-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-time-series-detection-models-from-temporally-imprecise-labels-1611.02258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-time-series-detection-models-from-temporally-imprecise-labels-1611.02258"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-attention-model-and-its-application-to-knowledge-base-embedding-and-question-answering-1611.02266</loc><lastmod>2016-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-attention-model-and-its-application-to-knowledge-base-embedding-and-question-answering-1611.02266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-attention-model-and-its-application-to-knowledge-base-embedding-and-question-answering-1611.02266"/></url>
<url><loc>https://scifaro.com/en/abs/normalizing-flows-on-riemannian-manifolds-1611.02304</loc><lastmod>2016-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normalizing-flows-on-riemannian-manifolds-1611.02304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normalizing-flows-on-riemannian-manifolds-1611.02304"/></url>
<url><loc>https://scifaro.com/en/abs/nonstop-a-nonstationary-online-prediction-method-for-time-series-1611.02365</loc><lastmod>2018-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonstop-a-nonstationary-online-prediction-method-for-time-series-1611.02365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonstop-a-nonstationary-online-prediction-method-for-time-series-1611.02365"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-optimization-approach-to-find-nash-equilibria-1611.02440</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-optimization-approach-to-find-nash-equilibria-1611.02440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-optimization-approach-to-find-nash-equilibria-1611.02440"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-with-the-r-package-mxm-discovering-statistically-equivalent-feature-subsets-1611.03227</loc><lastmod>2016-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-with-the-r-package-mxm-discovering-statistically-equivalent-feature-subsets-1611.03227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-with-the-r-package-mxm-discovering-statistically-equivalent-feature-subsets-1611.03227"/></url>
<url><loc>https://scifaro.com/en/abs/policy-search-with-high-dimensional-context-variables-1611.03231</loc><lastmod>2016-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-search-with-high-dimensional-context-variables-1611.03231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-search-with-high-dimensional-context-variables-1611.03231"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-multiple-kernel-relationship-learning-1611.03427</loc><lastmod>2017-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-multiple-kernel-relationship-learning-1611.03427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-multiple-kernel-relationship-learning-1611.03427"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-dynamic-treatment-regimes-in-mobile-health-using-v-learning-1611.03531</loc><lastmod>2017-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-dynamic-treatment-regimes-in-mobile-health-using-v-learning-1611.03531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-dynamic-treatment-regimes-in-mobile-health-using-v-learning-1611.03531"/></url>
<url><loc>https://scifaro.com/en/abs/simple-and-efficient-parallelization-for-probabilistic-temporal-tensor-factorization-1611.03578</loc><lastmod>2016-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-and-efficient-parallelization-for-probabilistic-temporal-tensor-factorization-1611.03578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-and-efficient-parallelization-for-probabilistic-temporal-tensor-factorization-1611.03578"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-learn-without-gradient-descent-by-gradient-descent-1611.03824</loc><lastmod>2017-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-learn-without-gradient-descent-by-gradient-descent-1611.03824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-learn-without-gradient-descent-by-gradient-descent-1611.03824"/></url>
<url><loc>https://scifaro.com/en/abs/annealing-gaussian-into-relu-a-new-sampling-strategy-for-leaky-relu-rbm-1611.03879</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/annealing-gaussian-into-relu-a-new-sampling-strategy-for-leaky-relu-rbm-1611.03879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/annealing-gaussian-into-relu-a-new-sampling-strategy-for-leaky-relu-rbm-1611.03879"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-regression-minimax-rates-and-effective-dimensionality-beyond-the-regular-case-1611.03979</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-regression-minimax-rates-and-effective-dimensionality-beyond-the-regular-case-1611.03979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-regression-minimax-rates-and-effective-dimensionality-beyond-the-regular-case-1611.03979"/></url>
<url><loc>https://scifaro.com/en/abs/riemannian-tensor-completion-with-side-information-1611.03993</loc><lastmod>2017-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/riemannian-tensor-completion-with-side-information-1611.03993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/riemannian-tensor-completion-with-side-information-1611.03993"/></url>
<url><loc>https://scifaro.com/en/abs/gans-for-sequences-of-discrete-elements-with-the-gumbel-softmax-distribution-1611.04051</loc><lastmod>2016-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gans-for-sequences-of-discrete-elements-with-the-gumbel-softmax-distribution-1611.04051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gans-for-sequences-of-discrete-elements-with-the-gumbel-softmax-distribution-1611.04051"/></url>
<url><loc>https://scifaro.com/en/abs/error-metrics-for-learning-reliable-manifolds-from-streaming-data-1611.04067</loc><lastmod>2017-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-metrics-for-learning-reliable-manifolds-from-streaming-data-1611.04067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-metrics-for-learning-reliable-manifolds-from-streaming-data-1611.04067"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-and-adaptive-sparse-signal-lassi-models-for-highly-accelerated-dynamic-imaging-1611.04069</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-and-adaptive-sparse-signal-lassi-models-for-highly-accelerated-dynamic-imaging-1611.04069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-and-adaptive-sparse-signal-lassi-models-for-highly-accelerated-dynamic-imaging-1611.04069"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-variance-reduced-block-coordinate-descent-1611.04149</loc><lastmod>2016-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-variance-reduced-block-coordinate-descent-1611.04149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-variance-reduced-block-coordinate-descent-1611.04149"/></url>
<url><loc>https://scifaro.com/en/abs/joint-mean-and-covariance-estimation-with-unreplicated-matrix-variate-data-1611.04208</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-mean-and-covariance-estimation-with-unreplicated-matrix-variate-data-1611.04208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-mean-and-covariance-estimation-with-unreplicated-matrix-variate-data-1611.04208"/></url>
<url><loc>https://scifaro.com/en/abs/preference-completion-from-partial-rankings-1611.04218</loc><lastmod>2016-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preference-completion-from-partial-rankings-1611.04218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preference-completion-from-partial-rankings-1611.04218"/></url>
<url><loc>https://scifaro.com/en/abs/generative-models-and-model-criticism-via-optimized-maximum-mean-discrepancy-1611.04488</loc><lastmod>2021-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-models-and-model-criticism-via-optimized-maximum-mean-discrepancy-1611.04488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-models-and-model-criticism-via-optimized-maximum-mean-discrepancy-1611.04488"/></url>
<url><loc>https://scifaro.com/en/abs/post-training-in-deep-learning-with-last-kernel-1611.04499</loc><lastmod>2017-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/post-training-in-deep-learning-with-last-kernel-1611.04499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/post-training-in-deep-learning-with-last-kernel-1611.04499"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-with-sets-and-point-clouds-1611.04500</loc><lastmod>2017-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-with-sets-and-point-clouds-1611.04500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-with-sets-and-point-clouds-1611.04500"/></url>
<url><loc>https://scifaro.com/en/abs/splitting-matters-how-monotone-transformation-of-predictor-variables-may-improve-the-predictions-of-decision-tree-models-1611.04561</loc><lastmod>2016-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/splitting-matters-how-monotone-transformation-of-predictor-variables-may-improve-the-predictions-of-decision-tree-models-1611.04561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/splitting-matters-how-monotone-transformation-of-predictor-variables-may-improve-the-predictions-of-decision-tree-models-1611.04561"/></url>
<url><loc>https://scifaro.com/en/abs/errors-in-variables-models-with-dependent-measurements-1611.04701</loc><lastmod>2017-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/errors-in-variables-models-with-dependent-measurements-1611.04701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/errors-in-variables-models-with-dependent-measurements-1611.04701"/></url>
<url><loc>https://scifaro.com/en/abs/recoverability-of-joint-distribution-from-missing-data-1611.04709</loc><lastmod>2016-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recoverability-of-joint-distribution-from-missing-data-1611.04709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recoverability-of-joint-distribution-from-missing-data-1611.04709"/></url>
<url><loc>https://scifaro.com/en/abs/improved-particle-filters-for-vehicle-localisation-1611.04790</loc><lastmod>2016-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-particle-filters-for-vehicle-localisation-1611.04790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-particle-filters-for-vehicle-localisation-1611.04790"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-with-truncated-gaussian-graphical-models-1611.04920</loc><lastmod>2016-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-with-truncated-gaussian-graphical-models-1611.04920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-with-truncated-gaussian-graphical-models-1611.04920"/></url>
<url><loc>https://scifaro.com/en/abs/anchor-free-correlated-topic-modeling-identifiability-and-algorithm-1611.05010</loc><lastmod>2016-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anchor-free-correlated-topic-modeling-identifiability-and-algorithm-1611.05010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anchor-free-correlated-topic-modeling-identifiability-and-algorithm-1611.05010"/></url>
<url><loc>https://scifaro.com/en/abs/localized-coulomb-descriptors-for-the-gaussian-approximation-potential-1611.05126</loc><lastmod>2016-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/localized-coulomb-descriptors-for-the-gaussian-approximation-potential-1611.05126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/localized-coulomb-descriptors-for-the-gaussian-approximation-potential-1611.05126"/></url>
<url><loc>https://scifaro.com/en/abs/deep-variational-inference-without-pixel-wise-reconstruction-1611.05209</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-variational-inference-without-pixel-wise-reconstruction-1611.05209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-variational-inference-without-pixel-wise-reconstruction-1611.05209"/></url>
<url><loc>https://scifaro.com/en/abs/ros-regression-integrating-regularization-and-optimal-scaling-regression-1611.05433</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ros-regression-integrating-regularization-and-optimal-scaling-regression-1611.05433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ros-regression-integrating-regularization-and-optimal-scaling-regression-1611.05433"/></url>
<url><loc>https://scifaro.com/en/abs/embedding-projector-interactive-visualization-and-interpretation-of-embeddings-1611.05469</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embedding-projector-interactive-visualization-and-interpretation-of-embeddings-1611.05469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embedding-projector-interactive-visualization-and-interpretation-of-embeddings-1611.05469"/></url>
<url><loc>https://scifaro.com/en/abs/algebraic-multigrid-support-vector-machines-1611.05487</loc><lastmod>2016-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algebraic-multigrid-support-vector-machines-1611.05487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algebraic-multigrid-support-vector-machines-1611.05487"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-variational-inference-1611.05559</loc><lastmod>2017-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-variational-inference-1611.05559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-variational-inference-1611.05559"/></url>
<url><loc>https://scifaro.com/en/abs/genesim-genetic-extraction-of-a-single-interpretable-model-1611.05722</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/genesim-genetic-extraction-of-a-single-interpretable-model-1611.05722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/genesim-genetic-extraction-of-a-single-interpretable-model-1611.05722"/></url>
<url><loc>https://scifaro.com/en/abs/gap-safe-screening-rules-for-sparsity-enforcing-penalties-1611.05780</loc><lastmod>2017-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gap-safe-screening-rules-for-sparsity-enforcing-penalties-1611.05780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gap-safe-screening-rules-for-sparsity-enforcing-penalties-1611.05780"/></url>
<url><loc>https://scifaro.com/en/abs/nothing-else-matters-model-agnostic-explanations-by-identifying-prediction-invariance-1611.05817</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nothing-else-matters-model-agnostic-explanations-by-identifying-prediction-invariance-1611.05817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nothing-else-matters-model-agnostic-explanations-by-identifying-prediction-invariance-1611.05817"/></url>
<url><loc>https://scifaro.com/en/abs/influence-sketching-finding-influential-samples-in-large-scale-regressions-1611.05923</loc><lastmod>2017-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/influence-sketching-finding-influential-samples-in-large-scale-regressions-1611.05923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/influence-sketching-finding-influential-samples-in-large-scale-regressions-1611.05923"/></url>
<url><loc>https://scifaro.com/en/abs/increasing-the-interpretability-of-recurrent-neural-networks-using-hidden-markov-models-1611.05934</loc><lastmod>2016-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/increasing-the-interpretability-of-recurrent-neural-networks-using-hidden-markov-models-1611.05934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/increasing-the-interpretability-of-recurrent-neural-networks-using-hidden-markov-models-1611.05934"/></url>
<url><loc>https://scifaro.com/en/abs/finding-alternate-features-in-lasso-1611.05940</loc><lastmod>2016-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-alternate-features-in-lasso-1611.05940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-alternate-features-in-lasso-1611.05940"/></url>
<url><loc>https://scifaro.com/en/abs/deriving-reproducible-biomarkers-from-multi-site-resting-state-data-an-autism-based-example-1611.06066</loc><lastmod>2016-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deriving-reproducible-biomarkers-from-multi-site-resting-state-data-an-autism-based-example-1611.06066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deriving-reproducible-biomarkers-from-multi-site-resting-state-data-an-autism-based-example-1611.06066"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalized-stochastic-variational-bayesian-hyperparameter-learning-framework-for-sparse-spectrum-gaussian-process-regression-1611.06080</loc><lastmod>2016-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalized-stochastic-variational-bayesian-hyperparameter-learning-framework-for-sparse-spectrum-gaussian-process-regression-1611.06080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalized-stochastic-variational-bayesian-hyperparameter-learning-framework-for-sparse-spectrum-gaussian-process-regression-1611.06080"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-diffuse-interface-methods-on-graphs-non-smooth-potentials-and-hypergraphs-1611.06094</loc><lastmod>2016-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-diffuse-interface-methods-on-graphs-non-smooth-potentials-and-hypergraphs-1611.06094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-diffuse-interface-methods-on-graphs-non-smooth-potentials-and-hypergraphs-1611.06094"/></url>
<url><loc>https://scifaro.com/en/abs/compacting-neural-network-classifiers-via-dropout-training-1611.06148</loc><lastmod>2017-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compacting-neural-network-classifiers-via-dropout-training-1611.06148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compacting-neural-network-classifiers-via-dropout-training-1611.06148"/></url>
<url><loc>https://scifaro.com/en/abs/learning-interpretability-for-visualizations-using-adapted-cox-models-through-a-user-experiment-1611.06175</loc><lastmod>2016-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-interpretability-for-visualizations-using-adapted-cox-models-through-a-user-experiment-1611.06175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-interpretability-for-visualizations-using-adapted-cox-models-through-a-user-experiment-1611.06175"/></url>
<url><loc>https://scifaro.com/en/abs/variable-computation-in-recurrent-neural-networks-1611.06188</loc><lastmod>2017-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-computation-in-recurrent-neural-networks-1611.06188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-computation-in-recurrent-neural-networks-1611.06188"/></url>
<url><loc>https://scifaro.com/en/abs/gadei-on-scale-up-training-as-a-service-for-deep-learning-1611.06213</loc><lastmod>2017-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gadei-on-scale-up-training-as-a-service-for-deep-learning-1611.06213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gadei-on-scale-up-training-as-a-service-for-deep-learning-1611.06213"/></url>
<url><loc>https://scifaro.com/en/abs/deep-clustering-and-conventional-networks-for-music-separation-stronger-together-1611.06265</loc><lastmod>2017-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-clustering-and-conventional-networks-for-music-separation-stronger-together-1611.06265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-clustering-and-conventional-networks-for-music-separation-stronger-together-1611.06265"/></url>
<url><loc>https://scifaro.com/en/abs/local-minima-in-training-of-neural-networks-1611.06310</loc><lastmod>2017-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-minima-in-training-of-neural-networks-1611.06310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-minima-in-training-of-neural-networks-1611.06310"/></url>
<url><loc>https://scifaro.com/en/abs/conservative-contextual-linear-bandits-1611.06426</loc><lastmod>2017-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conservative-contextual-linear-bandits-1611.06426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conservative-contextual-linear-bandits-1611.06426"/></url>
<url><loc>https://scifaro.com/en/abs/linear-thompson-sampling-revisited-1611.06534</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-thompson-sampling-revisited-1611.06534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-thompson-sampling-revisited-1611.06534"/></url>
<url><loc>https://scifaro.com/en/abs/variational-boosting-iteratively-refining-posterior-approximations-1611.06585</loc><lastmod>2017-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-boosting-iteratively-refining-posterior-approximations-1611.06585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-boosting-iteratively-refining-posterior-approximations-1611.06585"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-adaptive-stochastic-optimization-using-random-projections-1611.06652</loc><lastmod>2016-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-adaptive-stochastic-optimization-using-random-projections-1611.06652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-adaptive-stochastic-optimization-using-random-projections-1611.06652"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-approximations-for-generalized-linear-problems-1611.06686</loc><lastmod>2016-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-approximations-for-generalized-linear-problems-1611.06686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-approximations-for-generalized-linear-problems-1611.06686"/></url>
<url><loc>https://scifaro.com/en/abs/variational-fourier-features-for-gaussian-processes-1611.06740</loc><lastmod>2017-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-fourier-features-for-gaussian-processes-1611.06740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-fourier-features-for-gaussian-processes-1611.06740"/></url>
<url><loc>https://scifaro.com/en/abs/mdl-motivated-compression-of-glm-ensembles-increases-interpretability-and-retains-predictive-power-1611.06800</loc><lastmod>2016-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mdl-motivated-compression-of-glm-ensembles-increases-interpretability-and-retains-predictive-power-1611.06800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mdl-motivated-compression-of-glm-ensembles-increases-interpretability-and-retains-predictive-power-1611.06800"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-structure-discovery-in-time-series-data-1611.06863</loc><lastmod>2016-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-structure-discovery-in-time-series-data-1611.06863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-structure-discovery-in-time-series-data-1611.06863"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-sample-quality-with-diffusions-1611.06972</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-sample-quality-with-diffusions-1611.06972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-sample-quality-with-diffusions-1611.06972"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-contrasting-for-deep-unsupervised-learning-1611.06996</loc><lastmod>2016-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-contrasting-for-deep-unsupervised-learning-1611.06996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-contrasting-for-deep-unsupervised-learning-1611.06996"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-structure-discovery-via-probabilistic-program-synthesis-1611.07051</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-structure-discovery-via-probabilistic-program-synthesis-1611.07051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-structure-discovery-via-probabilistic-program-synthesis-1611.07051"/></url>
<url><loc>https://scifaro.com/en/abs/using-empirical-covariance-matrix-in-enhancing-prediction-accuracy-of-linear-models-with-missing-information-1611.07093</loc><lastmod>2017-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-empirical-covariance-matrix-in-enhancing-prediction-accuracy-of-linear-models-with-missing-information-1611.07093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-empirical-covariance-matrix-in-enhancing-prediction-accuracy-of-linear-models-with-missing-information-1611.07093"/></url>
<url><loc>https://scifaro.com/en/abs/structured-prediction-by-conditional-risk-minimization-1611.07096</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-prediction-by-conditional-risk-minimization-1611.07096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-prediction-by-conditional-risk-minimization-1611.07096"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-finite-automata-for-sequential-data-1611.07100</loc><lastmod>2016-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-finite-automata-for-sequential-data-1611.07100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-finite-automata-for-sequential-data-1611.07100"/></url>
<url><loc>https://scifaro.com/en/abs/tree-space-prototypes-another-look-at-making-tree-ensembles-interpretable-1611.07115</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tree-space-prototypes-another-look-at-making-tree-ensembles-interpretable-1611.07115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tree-space-prototypes-another-look-at-making-tree-ensembles-interpretable-1611.07115"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-learning-for-stochastic-optimization-with-nonlinear-parametric-belief-models-1611.07161</loc><lastmod>2016-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-learning-for-stochastic-optimization-with-nonlinear-parametric-belief-models-1611.07161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-learning-for-stochastic-optimization-with-nonlinear-parametric-belief-models-1611.07161"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-recurrent-neural-networks-using-sequential-sparse-recovery-1611.07252</loc><lastmod>2016-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-recurrent-neural-networks-using-sequential-sparse-recovery-1611.07252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-recurrent-neural-networks-using-sequential-sparse-recovery-1611.07252"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-the-influence-of-noise-and-distractors-on-the-interpretation-of-neural-networks-1611.07270</loc><lastmod>2016-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-the-influence-of-noise-and-distractors-on-the-interpretation-of-neural-networks-1611.07270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-the-influence-of-noise-and-distractors-on-the-interpretation-of-neural-networks-1611.07270"/></url>
<url><loc>https://scifaro.com/en/abs/variational-graph-auto-encoders-1611.07308</loc><lastmod>2016-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-graph-auto-encoders-1611.07308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-graph-auto-encoders-1611.07308"/></url>
<url><loc>https://scifaro.com/en/abs/treeview-peeking-into-deep-neural-networks-via-feature-space-partitioning-1611.07429</loc><lastmod>2016-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/treeview-peeking-into-deep-neural-networks-via-feature-space-partitioning-1611.07429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/treeview-peeking-into-deep-neural-networks-via-feature-space-partitioning-1611.07429"/></url>
<url><loc>https://scifaro.com/en/abs/mapping-chemical-performance-on-molecular-structures-using-locally-interpretable-explanations-1611.07443</loc><lastmod>2016-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mapping-chemical-performance-on-molecular-structures-using-locally-interpretable-explanations-1611.07443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mapping-chemical-performance-on-molecular-structures-using-locally-interpretable-explanations-1611.07443"/></url>
<url><loc>https://scifaro.com/en/abs/grad-cam-why-did-you-say-that-1611.07450</loc><lastmod>2017-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grad-cam-why-did-you-say-that-1611.07450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grad-cam-why-did-you-say-that-1611.07450"/></url>
<url><loc>https://scifaro.com/en/abs/poisson-random-fields-for-dynamic-feature-models-1611.07460</loc><lastmod>2016-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poisson-random-fields-for-dynamic-feature-models-1611.07460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poisson-random-fields-for-dynamic-feature-models-1611.07460"/></url>
<url><loc>https://scifaro.com/en/abs/inducing-interpretable-representations-with-variational-autoencoders-1611.07492</loc><lastmod>2016-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inducing-interpretable-representations-with-variational-autoencoders-1611.07492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inducing-interpretable-representations-with-variational-autoencoders-1611.07492"/></url>
<url><loc>https://scifaro.com/en/abs/programs-as-black-box-explanations-1611.07579</loc><lastmod>2016-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/programs-as-black-box-explanations-1611.07579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/programs-as-black-box-explanations-1611.07579"/></url>
<url><loc>https://scifaro.com/en/abs/a-neural-network-model-to-classify-liver-cancer-patients-using-data-expansion-and-compression-1611.07588</loc><lastmod>2016-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-neural-network-model-to-classify-liver-cancer-patients-using-data-expansion-and-compression-1611.07588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-neural-network-model-to-classify-liver-cancer-patients-using-data-expansion-and-compression-1611.07588"/></url>
<url><loc>https://scifaro.com/en/abs/interpretation-of-prediction-models-using-the-input-gradient-1611.07634</loc><lastmod>2016-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretation-of-prediction-models-using-the-input-gradient-1611.07634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretation-of-prediction-models-using-the-input-gradient-1611.07634"/></url>
<url><loc>https://scifaro.com/en/abs/learning-cost-effective-and-interpretable-regimes-for-treatment-recommendation-1611.07663</loc><lastmod>2016-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-cost-effective-and-interpretable-regimes-for-treatment-recommendation-1611.07663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-cost-effective-and-interpretable-regimes-for-treatment-recommendation-1611.07663"/></url>
<url><loc>https://scifaro.com/en/abs/tunable-sensitivity-to-large-errors-in-neural-network-training-1611.07743</loc><lastmod>2016-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tunable-sensitivity-to-large-errors-in-neural-network-training-1611.07743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tunable-sensitivity-to-large-errors-in-neural-network-training-1611.07743"/></url>
<url><loc>https://scifaro.com/en/abs/robust-unsupervised-transient-detection-with-invariant-representation-based-on-the-scattering-network-1611.07850</loc><lastmod>2016-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-unsupervised-transient-detection-with-invariant-representation-based-on-the-scattering-network-1611.07850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-unsupervised-transient-detection-with-invariant-representation-based-on-the-scattering-network-1611.07850"/></url>
<url><loc>https://scifaro.com/en/abs/survey-of-expressivity-in-deep-neural-networks-1611.08083</loc><lastmod>2016-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survey-of-expressivity-in-deep-neural-networks-1611.08083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survey-of-expressivity-in-deep-neural-networks-1611.08083"/></url>
<url><loc>https://scifaro.com/en/abs/quantum-enhanced-inference-in-markov-logic-networks-1611.08104</loc><lastmod>2017-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantum-enhanced-inference-in-markov-logic-networks-1611.08104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantum-enhanced-inference-in-markov-logic-networks-1611.08104"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-the-predictions-of-complex-ml-models-by-layer-wise-relevance-propagation-1611.08191</loc><lastmod>2016-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-the-predictions-of-complex-ml-models-by-layer-wise-relevance-propagation-1611.08191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-the-predictions-of-complex-ml-models-by-layer-wise-relevance-propagation-1611.08191"/></url>
<url><loc>https://scifaro.com/en/abs/the-inverse-bagging-algorithm-anomaly-detection-by-inverse-bootstrap-aggregating-1611.08256</loc><lastmod>2017-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-inverse-bagging-algorithm-anomaly-detection-by-inverse-bootstrap-aggregating-1611.08256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-inverse-bagging-algorithm-anomaly-detection-by-inverse-bootstrap-aggregating-1611.08256"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-significant-predictive-bias-in-classifiers-1611.08292</loc><lastmod>2017-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-significant-predictive-bias-in-classifiers-1611.08292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-significant-predictive-bias-in-classifiers-1611.08292"/></url>
<url><loc>https://scifaro.com/en/abs/local-discriminant-hyperalignment-for-multi-subject-fmri-data-alignment-1611.08366</loc><lastmod>2016-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-discriminant-hyperalignment-for-multi-subject-fmri-data-alignment-1611.08366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-discriminant-hyperalignment-for-multi-subject-fmri-data-alignment-1611.08366"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-convex-surrogate-for-the-schatten-p-norm-1611.08372</loc><lastmod>2016-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-convex-surrogate-for-the-schatten-p-norm-1611.08372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-convex-surrogate-for-the-schatten-p-norm-1611.08372"/></url>
<url><loc>https://scifaro.com/en/abs/bidirectional-lstm-crf-for-clinical-concept-extraction-1611.08373</loc><lastmod>2016-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bidirectional-lstm-crf-for-clinical-concept-extraction-1611.08373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bidirectional-lstm-crf-for-clinical-concept-extraction-1611.08373"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-optimization-of-multi-class-svms-1611.08480</loc><lastmod>2017-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-optimization-of-multi-class-svms-1611.08480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-optimization-of-multi-class-svms-1611.08480"/></url>
<url><loc>https://scifaro.com/en/abs/bottleneck-conditional-density-estimation-1611.08568</loc><lastmod>2017-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bottleneck-conditional-density-estimation-1611.08568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bottleneck-conditional-density-estimation-1611.08568"/></url>
<url><loc>https://scifaro.com/en/abs/a-benchmark-and-comparison-of-active-learning-for-logistic-regression-1611.08618</loc><lastmod>2018-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-benchmark-and-comparison-of-active-learning-for-logistic-regression-1611.08618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-benchmark-and-comparison-of-active-learning-for-logistic-regression-1611.08618"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-the-kelly-strategy-1611.09130</loc><lastmod>2016-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-the-kelly-strategy-1611.09130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-the-kelly-strategy-1611.09130"/></url>
<url><loc>https://scifaro.com/en/abs/proceedings-of-nips-2016-workshop-on-interpretable-machine-learning-for-complex-systems-1611.09139</loc><lastmod>2016-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proceedings-of-nips-2016-workshop-on-interpretable-machine-learning-for-complex-systems-1611.09139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proceedings-of-nips-2016-workshop-on-interpretable-machine-learning-for-complex-systems-1611.09139"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-convolutional-auto-encoding-via-random-convexification-and-frequency-domain-minimization-1611.09232</loc><lastmod>2016-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-convolutional-auto-encoding-via-random-convexification-and-frequency-domain-minimization-1611.09232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-convolutional-auto-encoding-via-random-convexification-and-frequency-domain-minimization-1611.09232"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneous-clustering-and-estimation-of-heterogeneous-graphical-models-1611.09391</loc><lastmod>2018-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneous-clustering-and-estimation-of-heterogeneous-graphical-models-1611.09391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneous-clustering-and-estimation-of-heterogeneous-graphical-models-1611.09391"/></url>
<url><loc>https://scifaro.com/en/abs/the-empirical-size-of-trained-neural-networks-1611.09444</loc><lastmod>2016-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-empirical-size-of-trained-neural-networks-1611.09444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-empirical-size-of-trained-neural-networks-1611.09444"/></url>
<url><loc>https://scifaro.com/en/abs/the-upper-bound-on-knots-in-neural-networks-1611.09448</loc><lastmod>2016-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-upper-bound-on-knots-in-neural-networks-1611.09448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-upper-bound-on-knots-in-neural-networks-1611.09448"/></url>
<url><loc>https://scifaro.com/en/abs/associative-memory-using-dictionary-learning-and-expander-decoding-1611.09621</loc><lastmod>2016-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/associative-memory-using-dictionary-learning-and-expander-decoding-1611.09621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/associative-memory-using-dictionary-learning-and-expander-decoding-1611.09621"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-map-matching-using-particle-filters-1611.09706</loc><lastmod>2016-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-map-matching-using-particle-filters-1611.09706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-map-matching-using-particle-filters-1611.09706"/></url>
<url><loc>https://scifaro.com/en/abs/co-adaptive-learning-over-a-countable-space-1611.09816</loc><lastmod>2016-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/co-adaptive-learning-over-a-countable-space-1611.09816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/co-adaptive-learning-over-a-countable-space-1611.09816"/></url>
<url><loc>https://scifaro.com/en/abs/learning-features-of-music-from-scratch-1611.09827</loc><lastmod>2017-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-features-of-music-from-scratch-1611.09827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-features-of-music-from-scratch-1611.09827"/></url>
<url><loc>https://scifaro.com/en/abs/autism-spectrum-disorder-classification-using-graph-kernels-on-multidimensional-time-series-1611.09897</loc><lastmod>2016-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autism-spectrum-disorder-classification-using-graph-kernels-on-multidimensional-time-series-1611.09897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autism-spectrum-disorder-classification-using-graph-kernels-on-multidimensional-time-series-1611.09897"/></url>
<url><loc>https://scifaro.com/en/abs/capacity-and-trainability-in-recurrent-neural-networks-1611.09913</loc><lastmod>2017-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/capacity-and-trainability-in-recurrent-neural-networks-1611.09913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/capacity-and-trainability-in-recurrent-neural-networks-1611.09913"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-dental-image-analysis-1611.09958</loc><lastmod>2016-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-dental-image-analysis-1611.09958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-dental-image-analysis-1611.09958"/></url>
<url><loc>https://scifaro.com/en/abs/complex-valued-gaussian-process-regression-for-time-series-analysis-1611.10073</loc><lastmod>2017-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complex-valued-gaussian-process-regression-for-time-series-analysis-1611.10073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complex-valued-gaussian-process-regression-for-time-series-analysis-1611.10073"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-free-inference-by-ratio-estimation-1611.10242</loc><lastmod>2020-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-free-inference-by-ratio-estimation-1611.10242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-free-inference-by-ratio-estimation-1611.10242"/></url>
<url><loc>https://scifaro.com/en/abs/non-convex-projected-gradient-descent-for-generalized-low-rank-tensor-regression-1611.10349</loc><lastmod>2016-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-convex-projected-gradient-descent-for-generalized-low-rank-tensor-regression-1611.10349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-convex-projected-gradient-descent-for-generalized-low-rank-tensor-regression-1611.10349"/></url>
<url><loc>https://scifaro.com/en/abs/two-methods-for-wild-variational-inference-1612.00081</loc><lastmod>2017-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-methods-for-wild-variational-inference-1612.00081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-methods-for-wild-variational-inference-1612.00081"/></url>
<url><loc>https://scifaro.com/en/abs/pag2admg-an-algorithm-for-the-complete-causal-enumeration-of-a-markov-equivalence-class-1612.00099</loc><lastmod>2018-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pag2admg-an-algorithm-for-the-complete-causal-enumeration-of-a-markov-equivalence-class-1612.00099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pag2admg-an-algorithm-for-the-complete-causal-enumeration-of-a-markov-equivalence-class-1612.00099"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-decompositions-for-large-scale-svms-1612.00374</loc><lastmod>2018-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-decompositions-for-large-scale-svms-1612.00374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-decompositions-for-large-scale-svms-1612.00374"/></url>
<url><loc>https://scifaro.com/en/abs/tuning-the-scheduling-of-distributed-stochastic-gradient-descent-with-bayesian-optimization-1612.00383</loc><lastmod>2016-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tuning-the-scheduling-of-distributed-stochastic-gradient-descent-with-bayesian-optimization-1612.00383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tuning-the-scheduling-of-distributed-stochastic-gradient-descent-with-bayesian-optimization-1612.00383"/></url>
<url><loc>https://scifaro.com/en/abs/diet2vec-multi-scale-analysis-of-massive-dietary-data-1612.00388</loc><lastmod>2016-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diet2vec-multi-scale-analysis-of-massive-dietary-data-1612.00388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diet2vec-multi-scale-analysis-of-massive-dietary-data-1612.00388"/></url>
<url><loc>https://scifaro.com/en/abs/hypervolume-based-multi-objective-bayesian-optimization-with-student-t-processes-1612.00393</loc><lastmod>2016-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypervolume-based-multi-objective-bayesian-optimization-with-student-t-processes-1612.00393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypervolume-based-multi-objective-bayesian-optimization-with-student-t-processes-1612.00393"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-across-patient-variations-with-hidden-parameter-markov-decision-processes-1612.00475</loc><lastmod>2016-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-across-patient-variations-with-hidden-parameter-markov-decision-processes-1612.00475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-across-patient-variations-with-hidden-parameter-markov-decision-processes-1612.00475"/></url>
<url><loc>https://scifaro.com/en/abs/canonical-correlation-analysis-for-analyzing-sequences-of-medical-billing-codes-1612.00516</loc><lastmod>2017-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/canonical-correlation-analysis-for-analyzing-sequences-of-medical-billing-codes-1612.00516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/canonical-correlation-analysis-for-analyzing-sequences-of-medical-billing-codes-1612.00516"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-via-latent-factor-modeling-to-improve-prediction-of-surgical-complications-1612.00555</loc><lastmod>2016-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-via-latent-factor-modeling-to-improve-prediction-of-surgical-complications-1612.00555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-via-latent-factor-modeling-to-improve-prediction-of-surgical-complications-1612.00555"/></url>
<url><loc>https://scifaro.com/en/abs/active-search-for-sparse-signals-with-region-sensing-1612.00583</loc><lastmod>2016-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-search-for-sparse-signals-with-region-sensing-1612.00583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-search-for-sparse-signals-with-region-sensing-1612.00583"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-chromatic-mcmc-with-spatial-partitioning-1612.00595</loc><lastmod>2016-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-chromatic-mcmc-with-spatial-partitioning-1612.00595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-chromatic-mcmc-with-spatial-partitioning-1612.00595"/></url>
<url><loc>https://scifaro.com/en/abs/a-temporal-model-for-multiple-sclerosis-course-evolution-1612.00615</loc><lastmod>2016-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-temporal-model-for-multiple-sclerosis-course-evolution-1612.00615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-temporal-model-for-multiple-sclerosis-course-evolution-1612.00615"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-patient-state-of-health-using-sliding-window-and-recurrent-classifiers-1612.00662</loc><lastmod>2016-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-patient-state-of-health-using-sliding-window-and-recurrent-classifiers-1612.00662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-patient-state-of-health-using-sliding-window-and-recurrent-classifiers-1612.00662"/></url>
<url><loc>https://scifaro.com/en/abs/voxelwise-nonlinear-regression-toolbox-for-neuroimage-analysis-application-to-aging-and-neurodegenerative-disease-modeling-1612.00667</loc><lastmod>2017-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/voxelwise-nonlinear-regression-toolbox-for-neuroimage-analysis-application-to-aging-and-neurodegenerative-disease-modeling-1612.00667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/voxelwise-nonlinear-regression-toolbox-for-neuroimage-analysis-application-to-aging-and-neurodegenerative-disease-modeling-1612.00667"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-stochastic-gradient-mcmc-with-elastic-coupling-1612.00767</loc><lastmod>2016-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-stochastic-gradient-mcmc-with-elastic-coupling-1612.00767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-stochastic-gradient-mcmc-with-elastic-coupling-1612.00767"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-squared-error-reformulation-for-ordinal-classification-1612.00775</loc><lastmod>2017-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-squared-error-reformulation-for-ordinal-classification-1612.00775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-squared-error-reformulation-for-ordinal-classification-1612.00775"/></url>
<url><loc>https://scifaro.com/en/abs/restricted-strong-convexity-implies-weak-submodularity-1612.00804</loc><lastmod>2017-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/restricted-strong-convexity-implies-weak-submodularity-1612.00804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/restricted-strong-convexity-implies-weak-submodularity-1612.00804"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-hierarchical-gaussian-kernels-1612.00824</loc><lastmod>2016-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-hierarchical-gaussian-kernels-1612.00824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-hierarchical-gaussian-kernels-1612.00824"/></url>
<url><loc>https://scifaro.com/en/abs/hypothesis-transfer-learning-via-transformation-functions-1612.01020</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypothesis-transfer-learning-via-transformation-functions-1612.01020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypothesis-transfer-learning-via-transformation-functions-1612.01020"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-trajectories-of-mental-health-challenges-and-opportunities-1612.01055</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-trajectories-of-mental-health-challenges-and-opportunities-1612.01055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-trajectories-of-mental-health-challenges-and-opportunities-1612.01055"/></url>
<url><loc>https://scifaro.com/en/abs/representing-independence-models-with-elementary-triplets-1612.01095</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representing-independence-models-with-elementary-triplets-1612.01095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representing-independence-models-with-elementary-triplets-1612.01095"/></url>
<url><loc>https://scifaro.com/en/abs/properties-and-bayesian-fitting-of-restricted-boltzmann-machines-1612.01158</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/properties-and-bayesian-fitting-of-restricted-boltzmann-machines-1612.01158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/properties-and-bayesian-fitting-of-restricted-boltzmann-machines-1612.01158"/></url>
<url><loc>https://scifaro.com/en/abs/intra-day-activity-better-predicts-chronic-conditions-1612.01200</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intra-day-activity-better-predicts-chronic-conditions-1612.01200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intra-day-activity-better-predicts-chronic-conditions-1612.01200"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-and-adaptive-off-policy-evaluation-in-contextual-bandits-1612.01205</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-and-adaptive-off-policy-evaluation-in-contextual-bandits-1612.01205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-and-adaptive-off-policy-evaluation-in-contextual-bandits-1612.01205"/></url>
<url><loc>https://scifaro.com/en/abs/known-unknowns-uncertainty-quality-in-bayesian-neural-networks-1612.01251</loc><lastmod>2016-12-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/known-unknowns-uncertainty-quality-in-bayesian-neural-networks-1612.01251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/known-unknowns-uncertainty-quality-in-bayesian-neural-networks-1612.01251"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-biomarkers-through-mutual-information-1612.01316</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-biomarkers-through-mutual-information-1612.01316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-biomarkers-through-mutual-information-1612.01316"/></url>
<url><loc>https://scifaro.com/en/abs/simple-and-scalable-predictive-uncertainty-estimation-using-deep-ensembles-1612.01474</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-and-scalable-predictive-uncertainty-estimation-using-deep-ensembles-1612.01474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-and-scalable-predictive-uncertainty-estimation-using-deep-ensembles-1612.01474"/></url>
<url><loc>https://scifaro.com/en/abs/a-nonparametric-latent-factor-model-for-location-aware-video-recommendations-1612.01481</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-nonparametric-latent-factor-model-for-location-aware-video-recommendations-1612.01481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-nonparametric-latent-factor-model-for-location-aware-video-recommendations-1612.01481"/></url>
<url><loc>https://scifaro.com/en/abs/whiteout-gaussian-adaptive-noise-regularization-in-deep-neural-networks-1612.01490</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/whiteout-gaussian-adaptive-noise-regularization-in-deep-neural-networks-1612.01490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/whiteout-gaussian-adaptive-noise-regularization-in-deep-neural-networks-1612.01490"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-topic-models-for-clinical-interpretability-1612.01678</loc><lastmod>2016-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-topic-models-for-clinical-interpretability-1612.01678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-topic-models-for-clinical-interpretability-1612.01678"/></url>
<url><loc>https://scifaro.com/en/abs/a-probabilistic-framework-for-deep-learning-1612.01936</loc><lastmod>2016-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probabilistic-framework-for-deep-learning-1612.01936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probabilistic-framework-for-deep-learning-1612.01936"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-with-the-deep-rendering-mixture-model-1612.01942</loc><lastmod>2016-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-with-the-deep-rendering-mixture-model-1612.01942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-with-the-deep-rendering-mixture-model-1612.01942"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-adversarial-imitation-learning-1612.02179</loc><lastmod>2016-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-adversarial-imitation-learning-1612.02179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-adversarial-imitation-learning-1612.02179"/></url>
<url><loc>https://scifaro.com/en/abs/fast-adaptation-in-generative-models-with-generative-matching-networks-1612.02192</loc><lastmod>2017-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-adaptation-in-generative-models-with-generative-matching-networks-1612.02192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-adaptation-in-generative-models-with-generative-matching-networks-1612.02192"/></url>
<url><loc>https://scifaro.com/en/abs/large-margin-softmax-loss-for-convolutional-neural-networks-1612.02295</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-margin-softmax-loss-for-convolutional-neural-networks-1612.02295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-margin-softmax-loss-for-convolutional-neural-networks-1612.02295"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-primal-dual-methods-and-sample-complexity-of-reinforcement-learning-1612.02516</loc><lastmod>2016-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-primal-dual-methods-and-sample-complexity-of-reinforcement-learning-1612.02516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-primal-dual-methods-and-sample-complexity-of-reinforcement-learning-1612.02516"/></url>
<url><loc>https://scifaro.com/en/abs/smoothing-effects-of-bagging-von-mises-expansions-of-bagged-statistical-functionals-1612.02528</loc><lastmod>2016-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smoothing-effects-of-bagging-von-mises-expansions-of-bagged-statistical-functionals-1612.02528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smoothing-effects-of-bagging-von-mises-expansions-of-bagged-statistical-functionals-1612.02528"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-brain-age-with-deep-learning-from-raw-imaging-data-results-in-a-reliable-and-heritable-biomarker-1612.02572</loc><lastmod>2016-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-brain-age-with-deep-learning-from-raw-imaging-data-results-in-a-reliable-and-heritable-biomarker-1612.02572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-brain-age-with-deep-learning-from-raw-imaging-data-results-in-a-reliable-and-heritable-biomarker-1612.02572"/></url>
<url><loc>https://scifaro.com/en/abs/protein-ligand-scoring-with-convolutional-neural-networks-1612.02751</loc><lastmod>2020-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/protein-ligand-scoring-with-convolutional-neural-networks-1612.02751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/protein-ligand-scoring-with-convolutional-neural-networks-1612.02751"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-dictionary-learning-with-deep-kruskal-factor-analysis-1612.02842</loc><lastmod>2017-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-dictionary-learning-with-deep-kruskal-factor-analysis-1612.02842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-dictionary-learning-with-deep-kruskal-factor-analysis-1612.02842"/></url>
<url><loc>https://scifaro.com/en/abs/batfled-bayesian-tensor-factorization-linked-to-external-data-1612.02965</loc><lastmod>2016-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batfled-bayesian-tensor-factorization-linked-to-external-data-1612.02965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batfled-bayesian-tensor-factorization-linked-to-external-data-1612.02965"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-the-maximum-parameter-of-the-total-variation-denoising-through-the-pseudo-inverse-of-the-divergence-1612.03080</loc><lastmod>2016-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-the-maximum-parameter-of-the-total-variation-denoising-through-the-pseudo-inverse-of-the-divergence-1612.03080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-the-maximum-parameter-of-the-total-variation-denoising-through-the-pseudo-inverse-of-the-divergence-1612.03080"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-coding-1612.03301</loc><lastmod>2017-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-coding-1612.03301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-coding-1612.03301"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-spectral-method-for-latent-variable-models-1612.03409</loc><lastmod>2017-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-spectral-method-for-latent-variable-models-1612.03409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-spectral-method-for-latent-variable-models-1612.03409"/></url>
<url><loc>https://scifaro.com/en/abs/lock-free-optimization-for-non-convex-problems-1612.03441</loc><lastmod>2016-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lock-free-optimization-for-non-convex-problems-1612.03441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lock-free-optimization-for-non-convex-problems-1612.03441"/></url>
<url><loc>https://scifaro.com/en/abs/generalizable-features-from-unsupervised-learning-1612.03809</loc><lastmod>2016-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizable-features-from-unsupervised-learning-1612.03809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizable-features-from-unsupervised-learning-1612.03809"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-structured-svi-for-two-level-non-conjugate-models-1612.03957</loc><lastmod>2018-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-structured-svi-for-two-level-non-conjugate-models-1612.03957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-structured-svi-for-two-level-non-conjugate-models-1612.03957"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-repeat-multi-point-sampling-for-highly-volatile-objective-functions-1612.03981</loc><lastmod>2016-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-repeat-multi-point-sampling-for-highly-volatile-objective-functions-1612.03981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-repeat-multi-point-sampling-for-highly-volatile-objective-functions-1612.03981"/></url>
<url><loc>https://scifaro.com/en/abs/theory-and-tools-for-the-conversion-of-analog-to-spiking-convolutional-neural-networks-1612.04052</loc><lastmod>2016-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theory-and-tools-for-the-conversion-of-analog-to-spiking-convolutional-neural-networks-1612.04052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theory-and-tools-for-the-conversion-of-analog-to-spiking-convolutional-neural-networks-1612.04052"/></url>
<url><loc>https://scifaro.com/en/abs/parsimonious-online-learning-with-kernels-via-sparse-projections-in-function-space-1612.04111</loc><lastmod>2016-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parsimonious-online-learning-with-kernels-via-sparse-projections-in-function-space-1612.04111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parsimonious-online-learning-with-kernels-via-sparse-projections-in-function-space-1612.04111"/></url>
<url><loc>https://scifaro.com/en/abs/towards-adaptive-training-of-agent-based-sparring-partners-for-fighter-pilots-1612.04315</loc><lastmod>2016-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-adaptive-training-of-agent-based-sparring-partners-for-fighter-pilots-1612.04315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-adaptive-training-of-agent-based-sparring-partners-for-fighter-pilots-1612.04315"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-deep-reinforcement-learning-for-lane-keeping-assist-1612.04340</loc><lastmod>2016-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-deep-reinforcement-learning-for-lane-keeping-assist-1612.04340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-deep-reinforcement-learning-for-lane-keeping-assist-1612.04340"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-object-rankings-based-on-noisy-pairwise-comparisons-from-multiple-annotators-1612.04413</loc><lastmod>2016-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-object-rankings-based-on-noisy-pairwise-comparisons-from-multiple-annotators-1612.04413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-object-rankings-based-on-noisy-pairwise-comparisons-from-multiple-annotators-1612.04413"/></url>
<url><loc>https://scifaro.com/en/abs/deep-function-machines-generalized-neural-networks-for-topological-layer-expression-1612.04799</loc><lastmod>2017-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-function-machines-generalized-neural-networks-for-topological-layer-expression-1612.04799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-function-machines-generalized-neural-networks-for-topological-layer-expression-1612.04799"/></url>
<url><loc>https://scifaro.com/en/abs/robust-local-scaling-using-conditional-quantiles-of-graph-similarities-1612.04875</loc><lastmod>2016-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-local-scaling-using-conditional-quantiles-of-graph-similarities-1612.04875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-local-scaling-using-conditional-quantiles-of-graph-similarities-1612.04875"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-is-effective-for-the-classification-of-oct-images-of-normal-versus-age-related-macular-degeneration-1612.04891</loc><lastmod>2016-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-is-effective-for-the-classification-of-oct-images-of-normal-versus-age-related-macular-degeneration-1612.04891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-is-effective-for-the-classification-of-oct-images-of-normal-versus-age-related-macular-degeneration-1612.04891"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-distributed-semi-supervised-learning-using-stochastic-regularization-over-affinity-graphs-1612.04898</loc><lastmod>2018-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-distributed-semi-supervised-learning-using-stochastic-regularization-over-affinity-graphs-1612.04898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-distributed-semi-supervised-learning-using-stochastic-regularization-over-affinity-graphs-1612.04898"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-phone-classification-using-deep-neural-networks-and-stochastic-graph-based-entropic-regularization-1612.04899</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-phone-classification-using-deep-neural-networks-and-stochastic-graph-based-entropic-regularization-1612.04899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-phone-classification-using-deep-neural-networks-and-stochastic-graph-based-entropic-regularization-1612.04899"/></url>
<url><loc>https://scifaro.com/en/abs/dynamical-kinds-and-their-discovery-1612.04933</loc><lastmod>2016-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamical-kinds-and-their-discovery-1612.04933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamical-kinds-and-their-discovery-1612.04933"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-message-passing-for-graphical-models-1612.05048</loc><lastmod>2016-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-message-passing-for-graphical-models-1612.05048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-message-passing-for-graphical-models-1612.05048"/></url>
<url><loc>https://scifaro.com/en/abs/expectation-propagation-performs-a-smoothed-gradient-descent-1612.05053</loc><lastmod>2016-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expectation-propagation-performs-a-smoothed-gradient-descent-1612.05053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expectation-propagation-performs-a-smoothed-gradient-descent-1612.05053"/></url>
<url><loc>https://scifaro.com/en/abs/edge-exchangeable-graphs-and-sparsity-nips-2016-1612.05519</loc><lastmod>2017-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edge-exchangeable-graphs-and-sparsity-nips-2016-1612.05519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edge-exchangeable-graphs-and-sparsity-nips-2016-1612.05519"/></url>
<url><loc>https://scifaro.com/en/abs/causal-learning-via-manifold-regularization-1612.05678</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-learning-via-manifold-regularization-1612.05678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-learning-via-manifold-regularization-1612.05678"/></url>
<url><loc>https://scifaro.com/en/abs/towards-wide-learning-experiments-in-healthcare-1612.05730</loc><lastmod>2016-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-wide-learning-experiments-in-healthcare-1612.05730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-wide-learning-experiments-in-healthcare-1612.05730"/></url>
<url><loc>https://scifaro.com/en/abs/joint-spatial-angular-sparse-coding-for-dmri-with-separable-dictionaries-1612.05846</loc><lastmod>2018-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-spatial-angular-sparse-coding-for-dmri-with-separable-dictionaries-1612.05846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-spatial-angular-sparse-coding-for-dmri-with-separable-dictionaries-1612.05846"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-generalized-cross-validation-for-divide-and-conquer-kernel-ridge-regression-and-its-asymptotic-optimality-1612.05907</loc><lastmod>2019-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-generalized-cross-validation-for-divide-and-conquer-kernel-ridge-regression-and-its-asymptotic-optimality-1612.05907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-generalized-cross-validation-for-divide-and-conquer-kernel-ridge-regression-and-its-asymptotic-optimality-1612.05907"/></url>
<url><loc>https://scifaro.com/en/abs/mixing-times-and-structural-inference-for-bernoulli-autoregressive-processes-1612.06061</loc><lastmod>2016-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixing-times-and-structural-inference-for-bernoulli-autoregressive-processes-1612.06061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixing-times-and-structural-inference-for-bernoulli-autoregressive-processes-1612.06061"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-partitioning-of-the-output-space-in-multi-label-data-1612.06083</loc><lastmod>2016-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-partitioning-of-the-output-space-in-multi-label-data-1612.06083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-partitioning-of-the-output-space-in-multi-label-data-1612.06083"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-clustered-nystrom-for-large-scale-kernel-machines-1612.06470</loc><lastmod>2016-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-clustered-nystrom-for-large-scale-kernel-machines-1612.06470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-clustered-nystrom-for-large-scale-kernel-machines-1612.06470"/></url>
<url><loc>https://scifaro.com/en/abs/woce-a-framework-for-clustering-ensemble-by-exploiting-the-wisdom-of-crowds-theory-1612.06598</loc><lastmod>2016-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/woce-a-framework-for-clustering-ensemble-by-exploiting-the-wisdom-of-crowds-theory-1612.06598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/woce-a-framework-for-clustering-ensemble-by-exploiting-the-wisdom-of-crowds-theory-1612.06598"/></url>
<url><loc>https://scifaro.com/en/abs/robust-learning-with-kernel-mean-p-power-error-loss-1612.07019</loc><lastmod>2016-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-learning-with-kernel-mean-p-power-error-loss-1612.07019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-learning-with-kernel-mean-p-power-error-loss-1612.07019"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-decision-process-for-cost-efficient-dynamic-ranking-via-crowdsourcing-1612.07222</loc><lastmod>2016-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-decision-process-for-cost-efficient-dynamic-ranking-via-crowdsourcing-1612.07222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-decision-process-for-cost-efficient-dynamic-ranking-via-crowdsourcing-1612.07222"/></url>
<url><loc>https://scifaro.com/en/abs/causal-effect-identification-in-acyclic-directed-mixed-graphs-and-gated-models-1612.07512</loc><lastmod>2017-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-effect-identification-in-acyclic-directed-mixed-graphs-and-gated-models-1612.07512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-effect-identification-in-acyclic-directed-mixed-graphs-and-gated-models-1612.07512"/></url>
<url><loc>https://scifaro.com/en/abs/finding-statistically-significant-attribute-interactions-1612.07597</loc><lastmod>2017-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-statistically-significant-attribute-interactions-1612.07597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-statistically-significant-attribute-interactions-1612.07597"/></url>
<url><loc>https://scifaro.com/en/abs/structured-sequence-modeling-with-graph-convolutional-recurrent-networks-1612.07659</loc><lastmod>2016-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-sequence-modeling-with-graph-convolutional-recurrent-networks-1612.07659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-sequence-modeling-with-graph-convolutional-recurrent-networks-1612.07659"/></url>
<url><loc>https://scifaro.com/en/abs/human-action-attribute-learning-from-video-data-using-low-rank-representations-1612.07857</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-action-attribute-learning-from-video-data-using-low-rank-representations-1612.07857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-action-attribute-learning-from-video-data-using-low-rank-representations-1612.07857"/></url>
<url><loc>https://scifaro.com/en/abs/rssl-semi-supervised-learning-in-r-1612.07993</loc><lastmod>2016-12-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rssl-semi-supervised-learning-in-r-1612.07993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rssl-semi-supervised-learning-in-r-1612.07993"/></url>
<url><loc>https://scifaro.com/en/abs/constructing-effective-personalized-policies-using-counterfactual-inference-from-biased-data-sets-with-many-features-1612.08082</loc><lastmod>2018-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constructing-effective-personalized-policies-using-counterfactual-inference-from-biased-data-sets-with-many-features-1612.08082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constructing-effective-personalized-policies-using-counterfactual-inference-from-biased-data-sets-with-many-features-1612.08082"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-optimal-matching-methods-for-causal-inference-1612.08321</loc><lastmod>2017-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-optimal-matching-methods-for-causal-inference-1612.08321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-optimal-matching-methods-for-causal-inference-1612.08321"/></url>
<url><loc>https://scifaro.com/en/abs/multi-region-neural-representation-a-novel-model-for-decoding-visual-stimuli-in-human-brains-1612.08392</loc><lastmod>2016-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-region-neural-representation-a-novel-model-for-decoding-visual-stimuli-in-human-brains-1612.08392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-region-neural-representation-a-novel-model-for-decoding-visual-stimuli-in-human-brains-1612.08392"/></url>
<url><loc>https://scifaro.com/en/abs/correlated-signal-inference-by-free-energy-exploration-1612.08406</loc><lastmod>2017-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlated-signal-inference-by-free-energy-exploration-1612.08406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlated-signal-inference-by-free-energy-exploration-1612.08406"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-for-computational-phenotyping-1612.08425</loc><lastmod>2016-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-for-computational-phenotyping-1612.08425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-for-computational-phenotyping-1612.08425"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-real-time-sentiment-analysis-for-big-data-social-streams-1612.08543</loc><lastmod>2016-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-real-time-sentiment-analysis-for-big-data-social-streams-1612.08543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-real-time-sentiment-analysis-for-big-data-social-streams-1612.08543"/></url>
<url><loc>https://scifaro.com/en/abs/rank-one-nmf-based-initialization-for-nmf-and-relative-error-bounds-under-a-geometric-assumption-1612.08549</loc><lastmod>2017-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rank-one-nmf-based-initialization-for-nmf-and-relative-error-bounds-under-a-geometric-assumption-1612.08549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rank-one-nmf-based-initialization-for-nmf-and-relative-error-bounds-under-a-geometric-assumption-1612.08549"/></url>
<url><loc>https://scifaro.com/en/abs/reproducible-pattern-recognition-research-the-case-of-optimistic-ssl-1612.08650</loc><lastmod>2016-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reproducible-pattern-recognition-research-the-case-of-optimistic-ssl-1612.08650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reproducible-pattern-recognition-research-the-case-of-optimistic-ssl-1612.08650"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-with-confidence-finding-clusters-with-statistical-guarantees-1612.08714</loc><lastmod>2017-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-with-confidence-finding-clusters-with-statistical-guarantees-1612.08714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-with-confidence-finding-clusters-with-statistical-guarantees-1612.08714"/></url>
<url><loc>https://scifaro.com/en/abs/the-pessimistic-limits-and-possibilities-of-margin-based-losses-in-semi-supervised-learning-1612.08875</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-pessimistic-limits-and-possibilities-of-margin-based-losses-in-semi-supervised-learning-1612.08875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-pessimistic-limits-and-possibilities-of-margin-based-losses-in-semi-supervised-learning-1612.08875"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-with-shape-constraints-1612.08915</loc><lastmod>2016-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-with-shape-constraints-1612.08915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-with-shape-constraints-1612.08915"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-bandwidth-estimation-for-a-fast-manifold-learning-algorithm-to-detect-circular-structure-in-high-dimensional-data-1612.08932</loc><lastmod>2016-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-bandwidth-estimation-for-a-fast-manifold-learning-algorithm-to-detect-circular-structure-in-high-dimensional-data-1612.08932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-bandwidth-estimation-for-a-fast-manifold-learning-algorithm-to-detect-circular-structure-in-high-dimensional-data-1612.08932"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-approach-to-multiple-kernel-fusion-1612.09007</loc><lastmod>2016-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-approach-to-multiple-kernel-fusion-1612.09007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-approach-to-multiple-kernel-fusion-1612.09007"/></url>
<url><loc>https://scifaro.com/en/abs/quantum-clustering-and-gaussian-mixtures-1612.09199</loc><lastmod>2016-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantum-clustering-and-gaussian-mixtures-1612.09199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantum-clustering-and-gaussian-mixtures-1612.09199"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-intersection-kernel-1612.09283</loc><lastmod>2016-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-intersection-kernel-1612.09283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-intersection-kernel-1612.09283"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-distributed-estimation-and-inference-for-transelliptical-graphical-models-1612.09297</loc><lastmod>2016-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-distributed-estimation-and-inference-for-transelliptical-graphical-models-1612.09297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-distributed-estimation-and-inference-for-transelliptical-graphical-models-1612.09297"/></url>
<url><loc>https://scifaro.com/en/abs/double-coupled-canonical-polyadic-decomposition-for-joint-blind-source-separation-1612.09466</loc><lastmod>2018-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/double-coupled-canonical-polyadic-decomposition-for-joint-blind-source-separation-1612.09466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/double-coupled-canonical-polyadic-decomposition-for-joint-blind-source-separation-1612.09466"/></url>
<url><loc>https://scifaro.com/en/abs/smart-content-recognition-from-images-using-a-mixture-of-convolutional-neural-networks-1612.09506</loc><lastmod>2019-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smart-content-recognition-from-images-using-a-mixture-of-convolutional-neural-networks-1612.09506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smart-content-recognition-from-images-using-a-mixture-of-convolutional-neural-networks-1612.09506"/></url>
<url><loc>https://scifaro.com/en/abs/very-fast-kernel-svm-under-budget-constraints-1701.00167</loc><lastmod>2017-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/very-fast-kernel-svm-under-budget-constraints-1701.00167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/very-fast-kernel-svm-under-budget-constraints-1701.00167"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-plasma-tomography-using-the-bolometer-system-at-jet-1701.00322</loc><lastmod>2017-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-plasma-tomography-using-the-bolometer-system-at-jet-1701.00322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-plasma-tomography-using-the-bolometer-system-at-jet-1701.00322"/></url>
<url><loc>https://scifaro.com/en/abs/towards-multiple-kernel-principal-component-analysis-for-integrative-analysis-of-tumor-samples-1701.00422</loc><lastmod>2017-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-multiple-kernel-principal-component-analysis-for-integrative-analysis-of-tumor-samples-1701.00422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-multiple-kernel-principal-component-analysis-for-integrative-analysis-of-tumor-samples-1701.00422"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-variance-reduced-gradient-descent-for-low-rank-matrix-recovery-from-linear-measurements-1701.00481</loc><lastmod>2017-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-variance-reduced-gradient-descent-for-low-rank-matrix-recovery-from-linear-measurements-1701.00481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-variance-reduced-gradient-descent-for-low-rank-matrix-recovery-from-linear-measurements-1701.00481"/></url>
<url><loc>https://scifaro.com/en/abs/semidefinite-tests-for-latent-causal-structures-1701.00652</loc><lastmod>2020-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semidefinite-tests-for-latent-causal-structures-1701.00652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semidefinite-tests-for-latent-causal-structures-1701.00652"/></url>
<url><loc>https://scifaro.com/en/abs/new-methods-of-enhancing-prediction-accuracy-in-linear-models-with-missing-data-1701.00677</loc><lastmod>2017-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-methods-of-enhancing-prediction-accuracy-in-linear-models-with-missing-data-1701.00677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-methods-of-enhancing-prediction-accuracy-in-linear-models-with-missing-data-1701.00677"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-signed-networks-with-the-geometric-mean-of-laplacians-1701.00757</loc><lastmod>2017-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-signed-networks-with-the-geometric-mean-of-laplacians-1701.00757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-signed-networks-with-the-geometric-mean-of-laplacians-1701.00757"/></url>
<url><loc>https://scifaro.com/en/abs/an-interval-based-bayesian-generative-model-for-human-complex-activity-recognition-1701.00903</loc><lastmod>2017-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-interval-based-bayesian-generative-model-for-human-complex-activity-recognition-1701.00903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-interval-based-bayesian-generative-model-for-human-complex-activity-recognition-1701.00903"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-low-rank-dynamic-mode-decomposition-1701.01064</loc><lastmod>2018-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-low-rank-dynamic-mode-decomposition-1701.01064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-low-rank-dynamic-mode-decomposition-1701.01064"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-multigraph-modeling-for-improving-the-quality-of-crowdsourced-affective-data-1701.01096</loc><lastmod>2017-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-multigraph-modeling-for-improving-the-quality-of-crowdsourced-affective-data-1701.01096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-multigraph-modeling-for-improving-the-quality-of-crowdsourced-affective-data-1701.01096"/></url>
<url><loc>https://scifaro.com/en/abs/learning-causal-effects-from-many-randomized-experiments-using-regularized-instrumental-variables-1701.01140</loc><lastmod>2017-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-causal-effects-from-many-randomized-experiments-using-regularized-instrumental-variables-1701.01140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-causal-effects-from-many-randomized-experiments-using-regularized-instrumental-variables-1701.01140"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-questionnaires-for-direct-identification-of-optimal-product-design-1701.01231</loc><lastmod>2017-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-questionnaires-for-direct-identification-of-optimal-product-design-1701.01231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-questionnaires-for-direct-identification-of-optimal-product-design-1701.01231"/></url>
<url><loc>https://scifaro.com/en/abs/openml-an-r-package-to-connect-to-the-machine-learning-platform-openml-1701.01293</loc><lastmod>2020-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/openml-an-r-package-to-connect-to-the-machine-learning-platform-openml-1701.01293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/openml-an-r-package-to-connect-to-the-machine-learning-platform-openml-1701.01293"/></url>
<url><loc>https://scifaro.com/en/abs/nips-2016-workshop-on-representation-learning-in-artificial-and-biological-neural-networks-mlini-2016-1701.01437</loc><lastmod>2017-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nips-2016-workshop-on-representation-learning-in-artificial-and-biological-neural-networks-mlini-2016-1701.01437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nips-2016-workshop-on-representation-learning-in-artificial-and-biological-neural-networks-mlini-2016-1701.01437"/></url>
<url><loc>https://scifaro.com/en/abs/graph-structure-learning-from-unlabeled-data-for-event-detection-1701.01470</loc><lastmod>2017-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-structure-learning-from-unlabeled-data-for-event-detection-1701.01470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-structure-learning-from-unlabeled-data-for-event-detection-1701.01470"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparse-structural-changes-in-high-dimensional-markov-networks-a-review-on-methodologies-and-theories-1701.01582</loc><lastmod>2017-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparse-structural-changes-in-high-dimensional-markov-networks-a-review-on-methodologies-and-theories-1701.01582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparse-structural-changes-in-high-dimensional-markov-networks-a-review-on-methodologies-and-theories-1701.01582"/></url>
<url><loc>https://scifaro.com/en/abs/tunable-gmm-kernels-1701.02046</loc><lastmod>2017-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tunable-gmm-kernels-1701.02046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tunable-gmm-kernels-1701.02046"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-statistical-decision-for-gaussian-graphical-model-selection-1701.02071</loc><lastmod>2017-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-statistical-decision-for-gaussian-graphical-model-selection-1701.02071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-statistical-decision-for-gaussian-graphical-model-selection-1701.02071"/></url>
<url><loc>https://scifaro.com/en/abs/deep-driven-fmri-decoding-of-visual-categories-1701.02133</loc><lastmod>2017-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-driven-fmri-decoding-of-visual-categories-1701.02133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-driven-fmri-decoding-of-visual-categories-1701.02133"/></url>
<url><loc>https://scifaro.com/en/abs/on-reject-and-refine-options-in-multicategory-classification-1701.02265</loc><lastmod>2017-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-reject-and-refine-options-in-multicategory-classification-1701.02265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-reject-and-refine-options-in-multicategory-classification-1701.02265"/></url>
<url><loc>https://scifaro.com/en/abs/a-universal-variance-reduction-based-catalyst-for-nonconvex-low-rank-matrix-recovery-1701.02301</loc><lastmod>2017-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-universal-variance-reduction-based-catalyst-for-nonconvex-low-rank-matrix-recovery-1701.02301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-universal-variance-reduction-based-catalyst-for-nonconvex-low-rank-matrix-recovery-1701.02301"/></url>
<url><loc>https://scifaro.com/en/abs/adagan-boosting-generative-models-1701.02386</loc><lastmod>2017-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adagan-boosting-generative-models-1701.02386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adagan-boosting-generative-models-1701.02386"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-best-interventions-through-online-importance-sampling-1701.02789</loc><lastmod>2017-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-best-interventions-through-online-importance-sampling-1701.02789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-best-interventions-through-online-importance-sampling-1701.02789"/></url>
<url><loc>https://scifaro.com/en/abs/similarity-function-tracking-using-pairwise-comparisons-1701.02804</loc><lastmod>2017-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/similarity-function-tracking-using-pairwise-comparisons-1701.02804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/similarity-function-tracking-using-pairwise-comparisons-1701.02804"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-regression-with-grossly-corrupted-observations-a-robust-approach-and-its-applications-1701.02892</loc><lastmod>2017-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-regression-with-grossly-corrupted-observations-a-robust-approach-and-its-applications-1701.02892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-regression-with-grossly-corrupted-observations-a-robust-approach-and-its-applications-1701.02892"/></url>
<url><loc>https://scifaro.com/en/abs/a-large-dimensional-analysis-of-least-squares-support-vector-machines-1701.02967</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-large-dimensional-analysis-of-least-squares-support-vector-machines-1701.02967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-large-dimensional-analysis-of-least-squares-support-vector-machines-1701.02967"/></url>
<url><loc>https://scifaro.com/en/abs/compressive-sensing-via-convolutional-factor-analysis-1701.03006</loc><lastmod>2017-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressive-sensing-via-convolutional-factor-analysis-1701.03006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressive-sensing-via-convolutional-factor-analysis-1701.03006"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-tda-sparse-realization-of-topological-data-analysis-for-multi-way-classification-1701.03212</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-tda-sparse-realization-of-topological-data-analysis-for-multi-way-classification-1701.03212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-tda-sparse-realization-of-topological-data-analysis-for-multi-way-classification-1701.03212"/></url>
<url><loc>https://scifaro.com/en/abs/relaxation-of-the-em-algorithm-via-quantum-annealing-for-gaussian-mixture-models-1701.03268</loc><lastmod>2017-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relaxation-of-the-em-algorithm-via-quantum-annealing-for-gaussian-mixture-models-1701.03268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relaxation-of-the-em-algorithm-via-quantum-annealing-for-gaussian-mixture-models-1701.03268"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-alignment-determination-finding-correspondences-across-different-data-views-1701.03449</loc><lastmod>2017-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-alignment-determination-finding-correspondences-across-different-data-views-1701.03449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-alignment-determination-finding-correspondences-across-different-data-views-1701.03449"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-approximation-methods-for-speech-recognition-1701.03577</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-approximation-methods-for-speech-recognition-1701.03577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-approximation-methods-for-speech-recognition-1701.03577"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-based-nonlinear-filtering-for-multimodal-data-fusion-with-application-to-sleep-stage-assessment-1701.03619</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-based-nonlinear-filtering-for-multimodal-data-fusion-with-application-to-sleep-stage-assessment-1701.03619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-based-nonlinear-filtering-for-multimodal-data-fusion-with-application-to-sleep-stage-assessment-1701.03619"/></url>
<url><loc>https://scifaro.com/en/abs/what-can-i-do-now-guiding-users-in-a-world-of-automated-decisions-1701.03755</loc><lastmod>2017-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-can-i-do-now-guiding-users-in-a-world-of-automated-decisions-1701.03755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-can-i-do-now-guiding-users-in-a-world-of-automated-decisions-1701.03755"/></url>
<url><loc>https://scifaro.com/en/abs/deep-probabilistic-programming-1701.03757</loc><lastmod>2017-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-probabilistic-programming-1701.03757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-probabilistic-programming-1701.03757"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-invert-signal-recovery-via-deep-convolutional-networks-1701.03891</loc><lastmod>2017-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-invert-signal-recovery-via-deep-convolutional-networks-1701.03891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-invert-signal-recovery-via-deep-convolutional-networks-1701.03891"/></url>
<url><loc>https://scifaro.com/en/abs/dynet-the-dynamic-neural-network-toolkit-1701.03980</loc><lastmod>2017-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynet-the-dynamic-neural-network-toolkit-1701.03980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynet-the-dynamic-neural-network-toolkit-1701.03980"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-kernel-canonical-correlation-analysis-via-ell-1-regularization-1701.04207</loc><lastmod>2017-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-kernel-canonical-correlation-analysis-via-ell-1-regularization-1701.04207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-kernel-canonical-correlation-analysis-via-ell-1-regularization-1701.04207"/></url>
<url><loc>https://scifaro.com/en/abs/datenqualit-at-in-regressionsproblemen-1701.04342</loc><lastmod>2017-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/datenqualit-at-in-regressionsproblemen-1701.04342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/datenqualit-at-in-regressionsproblemen-1701.04342"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-energy-disaggregation-of-a-distribution-feeder-s-demand-using-online-learning-1701.04389</loc><lastmod>2018-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-energy-disaggregation-of-a-distribution-feeder-s-demand-using-online-learning-1701.04389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-energy-disaggregation-of-a-distribution-feeder-s-demand-using-online-learning-1701.04389"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-regression-with-binary-coefficients-estimating-squared-error-and-a-phase-transition-1701.04455</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-regression-with-binary-coefficients-estimating-squared-error-and-a-phase-transition-1701.04455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-regression-with-binary-coefficients-estimating-squared-error-and-a-phase-transition-1701.04455"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-computational-chemistry-1701.04503</loc><lastmod>2018-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-computational-chemistry-1701.04503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-computational-chemistry-1701.04503"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-regularized-gaussian-processes-1701.04532</loc><lastmod>2017-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-regularized-gaussian-processes-1701.04532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-regularized-gaussian-processes-1701.04532"/></url>
<url><loc>https://scifaro.com/en/abs/towards-principled-methods-for-training-generative-adversarial-networks-1701.04862</loc><lastmod>2017-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-principled-methods-for-training-generative-adversarial-networks-1701.04862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-principled-methods-for-training-generative-adversarial-networks-1701.04862"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-alternative-to-p-values-1701.04944</loc><lastmod>2017-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-alternative-to-p-values-1701.04944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-alternative-to-p-values-1701.04944"/></url>
<url><loc>https://scifaro.com/en/abs/multilayer-perceptron-algebra-1701.04968</loc><lastmod>2017-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilayer-perceptron-algebra-1701.04968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilayer-perceptron-algebra-1701.04968"/></url>
<url><loc>https://scifaro.com/en/abs/recommendation-under-capacity-constraints-1701.05228</loc><lastmod>2017-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recommendation-under-capacity-constraints-1701.05228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recommendation-under-capacity-constraints-1701.05228"/></url>
<url><loc>https://scifaro.com/en/abs/online-structure-learning-for-sum-product-networks-with-gaussian-leaves-1701.05265</loc><lastmod>2017-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-structure-learning-for-sum-product-networks-with-gaussian-leaves-1701.05265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-structure-learning-for-sum-product-networks-with-gaussian-leaves-1701.05265"/></url>
<url><loc>https://scifaro.com/en/abs/random-forest-missing-data-algorithms-1701.05305</loc><lastmod>2017-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-forest-missing-data-algorithms-1701.05305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-forest-missing-data-algorithms-1701.05305"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-individual-treatment-effect-in-observational-data-using-random-forest-methods-1701.05306</loc><lastmod>2017-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-individual-treatment-effect-in-observational-data-using-random-forest-methods-1701.05306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-individual-treatment-effect-in-observational-data-using-random-forest-methods-1701.05306"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-subsampling-for-factorizing-huge-matrices-1701.05363</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-subsampling-for-factorizing-huge-matrices-1701.05363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-subsampling-for-factorizing-huge-matrices-1701.05363"/></url>
<url><loc>https://scifaro.com/en/abs/variational-dropout-sparsifies-deep-neural-networks-1701.05369</loc><lastmod>2017-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-dropout-sparsifies-deep-neural-networks-1701.05369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-dropout-sparsifies-deep-neural-networks-1701.05369"/></url>
<url><loc>https://scifaro.com/en/abs/fisher-consistency-for-prior-probability-shift-1701.05512</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fisher-consistency-for-prior-probability-shift-1701.05512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fisher-consistency-for-prior-probability-shift-1701.05512"/></url>
<url><loc>https://scifaro.com/en/abs/poisson-gamma-dynamical-systems-1701.05573</loc><lastmod>2017-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poisson-gamma-dynamical-systems-1701.05573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poisson-gamma-dynamical-systems-1701.05573"/></url>
<url><loc>https://scifaro.com/en/abs/rare-disease-physician-targeting-a-factor-graph-approach-1701.05644</loc><lastmod>2017-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rare-disease-physician-targeting-a-factor-graph-approach-1701.05644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rare-disease-physician-targeting-a-factor-graph-approach-1701.05644"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-network-learning-via-topological-order-1701.05654</loc><lastmod>2017-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-network-learning-via-topological-order-1701.05654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-network-learning-via-topological-order-1701.05654"/></url>
<url><loc>https://scifaro.com/en/abs/stability-enhanced-large-margin-classifier-selection-1701.05672</loc><lastmod>2017-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-enhanced-large-margin-classifier-selection-1701.05672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-enhanced-large-margin-classifier-selection-1701.05672"/></url>
<url><loc>https://scifaro.com/en/abs/learning-particle-physics-by-example-location-aware-generative-adversarial-networks-for-physics-synthesis-1701.05927</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-particle-physics-by-example-location-aware-generative-adversarial-networks-for-physics-synthesis-1701.05927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-particle-physics-by-example-location-aware-generative-adversarial-networks-for-physics-synthesis-1701.05927"/></url>
<url><loc>https://scifaro.com/en/abs/comparative-study-on-supervised-learning-methods-for-identifying-phytoplankton-species-1701.06421</loc><lastmod>2017-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparative-study-on-supervised-learning-methods-for-identifying-phytoplankton-species-1701.06421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparative-study-on-supervised-learning-methods-for-identifying-phytoplankton-species-1701.06421"/></url>
<url><loc>https://scifaro.com/en/abs/identification-of-unmodeled-objects-from-symbolic-descriptions-1701.06450</loc><lastmod>2017-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identification-of-unmodeled-objects-from-symbolic-descriptions-1701.06450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identification-of-unmodeled-objects-from-symbolic-descriptions-1701.06450"/></url>
<url><loc>https://scifaro.com/en/abs/learning-what-to-look-in-chest-x-rays-with-a-recurrent-visual-attention-model-1701.06452</loc><lastmod>2017-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-what-to-look-in-chest-x-rays-with-a-recurrent-visual-attention-model-1701.06452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-what-to-look-in-chest-x-rays-with-a-recurrent-visual-attention-model-1701.06452"/></url>
<url><loc>https://scifaro.com/en/abs/the-impact-of-random-models-on-clustering-similarity-1701.06508</loc><lastmod>2017-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-impact-of-random-models-on-clustering-similarity-1701.06508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-impact-of-random-models-on-clustering-similarity-1701.06508"/></url>
<url><loc>https://scifaro.com/en/abs/aggressive-sampling-for-multi-class-to-binary-reduction-with-applications-to-text-classification-1701.06511</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aggressive-sampling-for-multi-class-to-binary-reduction-with-applications-to-text-classification-1701.06511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aggressive-sampling-for-multi-class-to-binary-reduction-with-applications-to-text-classification-1701.06511"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-thresholding-for-demixing-structured-superpositions-in-high-dimensions-1701.06597</loc><lastmod>2017-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-thresholding-for-demixing-structured-superpositions-in-high-dimensions-1701.06597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-thresholding-for-demixing-structured-superpositions-in-high-dimensions-1701.06597"/></url>
<url><loc>https://scifaro.com/en/abs/stable-recovery-of-sparse-vectors-from-random-sinusoidal-feature-maps-1701.06607</loc><lastmod>2017-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-recovery-of-sparse-vectors-from-random-sinusoidal-feature-maps-1701.06607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-recovery-of-sparse-vectors-from-random-sinusoidal-feature-maps-1701.06607"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-mortality-risk-predictions-in-pediatric-critical-care-using-recurrent-neural-networks-1701.06675</loc><lastmod>2017-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-mortality-risk-predictions-in-pediatric-critical-care-using-recurrent-neural-networks-1701.06675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-mortality-risk-predictions-in-pediatric-critical-care-using-recurrent-neural-networks-1701.06675"/></url>
<url><loc>https://scifaro.com/en/abs/robust-mixture-modelling-using-sub-gaussian-stable-distribution-1701.06749</loc><lastmod>2017-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-mixture-modelling-using-sub-gaussian-stable-distribution-1701.06749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-mixture-modelling-using-sub-gaussian-stable-distribution-1701.06749"/></url>
<url><loc>https://scifaro.com/en/abs/privileged-multi-label-learning-1701.07194</loc><lastmod>2017-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privileged-multi-label-learning-1701.07194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privileged-multi-label-learning-1701.07194"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-label-proportions-in-brain-computer-interfaces-online-unsupervised-learning-with-guarantees-1701.07213</loc><lastmod>2017-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-label-proportions-in-brain-computer-interfaces-online-unsupervised-learning-with-guarantees-1701.07213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-label-proportions-in-brain-computer-interfaces-online-unsupervised-learning-with-guarantees-1701.07213"/></url>
<url><loc>https://scifaro.com/en/abs/k-nearest-neighbors-from-global-to-local-1701.07266</loc><lastmod>2017-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-nearest-neighbors-from-global-to-local-1701.07266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-nearest-neighbors-from-global-to-local-1701.07266"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-foundations-of-forward-feature-selection-methods-based-on-mutual-information-1701.07761</loc><lastmod>2018-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-foundations-of-forward-feature-selection-methods-based-on-mutual-information-1701.07761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-foundations-of-forward-feature-selection-methods-based-on-mutual-information-1701.07761"/></url>
<url><loc>https://scifaro.com/en/abs/linear-convergence-of-sdca-in-statistical-estimation-1701.07808</loc><lastmod>2017-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-convergence-of-sdca-in-statistical-estimation-1701.07808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-convergence-of-sdca-in-statistical-estimation-1701.07808"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-gan-1701.07875</loc><lastmod>2017-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-gan-1701.07875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-gan-1701.07875"/></url>
<url><loc>https://scifaro.com/en/abs/subset-selection-for-multiple-linear-regression-via-optimization-1701.07920</loc><lastmod>2020-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subset-selection-for-multiple-linear-regression-via-optimization-1701.07920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subset-selection-for-multiple-linear-regression-via-optimization-1701.07920"/></url>
<url><loc>https://scifaro.com/en/abs/boosted-nonparametric-hazards-with-time-dependent-covariates-1701.07926</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosted-nonparametric-hazards-with-time-dependent-covariates-1701.07926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosted-nonparametric-hazards-with-time-dependent-covariates-1701.07926"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-competitive-sports-bradley-terry-e-l-h-o-models-for-supervised-and-on-line-learning-of-paired-competition-outcomes-1701.08055</loc><lastmod>2017-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-competitive-sports-bradley-terry-e-l-h-o-models-for-supervised-and-on-line-learning-of-paired-competition-outcomes-1701.08055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-competitive-sports-bradley-terry-e-l-h-o-models-for-supervised-and-on-line-learning-of-paired-competition-outcomes-1701.08055"/></url>
<url><loc>https://scifaro.com/en/abs/random-forest-regression-for-manifold-valued-responses-1701.08381</loc><lastmod>2017-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-forest-regression-for-manifold-valued-responses-1701.08381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-forest-regression-for-manifold-valued-responses-1701.08381"/></url>
<url><loc>https://scifaro.com/en/abs/double-debiased-neyman-machine-learning-of-treatment-effects-1701.08687</loc><lastmod>2017-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/double-debiased-neyman-machine-learning-of-treatment-effects-1701.08687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/double-debiased-neyman-machine-learning-of-treatment-effects-1701.08687"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-food-inflation-in-india-a-machine-learning-approach-1701.08789</loc><lastmod>2017-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-food-inflation-in-india-a-machine-learning-approach-1701.08789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-food-inflation-in-india-a-machine-learning-approach-1701.08789"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-algorithm-selection-1701.08810</loc><lastmod>2017-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-algorithm-selection-1701.08810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-algorithm-selection-1701.08810"/></url>
<url><loc>https://scifaro.com/en/abs/prototypal-analysis-and-prototypal-regression-1701.08916</loc><lastmod>2017-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prototypal-analysis-and-prototypal-regression-1701.08916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prototypal-analysis-and-prototypal-regression-1701.08916"/></url>
<url><loc>https://scifaro.com/en/abs/variable-selection-for-clustering-with-gaussian-mixture-models-state-of-the-art-1701.08946</loc><lastmod>2017-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-selection-for-clustering-with-gaussian-mixture-models-state-of-the-art-1701.08946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-selection-for-clustering-with-gaussian-mixture-models-state-of-the-art-1701.08946"/></url>
<url><loc>https://scifaro.com/en/abs/a-gaussian-process-regression-model-for-distribution-inputs-1701.09055</loc><lastmod>2018-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-gaussian-process-regression-model-for-distribution-inputs-1701.09055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-gaussian-process-regression-model-for-distribution-inputs-1701.09055"/></url>
<url><loc>https://scifaro.com/en/abs/on-sgd-s-failure-in-practice-characterizing-and-overcoming-stalling-1702.00317</loc><lastmod>2017-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-sgd-s-failure-in-practice-characterizing-and-overcoming-stalling-1702.00317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-sgd-s-failure-in-practice-characterizing-and-overcoming-stalling-1702.00317"/></url>
<url><loc>https://scifaro.com/en/abs/recovering-true-classifier-performance-in-positive-unlabeled-learning-1702.00518</loc><lastmod>2017-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovering-true-classifier-performance-in-positive-unlabeled-learning-1702.00518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovering-true-classifier-performance-in-positive-unlabeled-learning-1702.00518"/></url>
<url><loc>https://scifaro.com/en/abs/sharp-convergence-rates-for-forward-regression-in-high-dimensional-sparse-linear-models-1702.01000</loc><lastmod>2018-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sharp-convergence-rates-for-forward-regression-in-high-dimensional-sparse-linear-models-1702.01000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sharp-convergence-rates-for-forward-regression-in-high-dimensional-sparse-linear-models-1702.01000"/></url>
<url><loc>https://scifaro.com/en/abs/energy-prediction-using-spatiotemporal-pattern-networks-1702.01125</loc><lastmod>2017-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-prediction-using-spatiotemporal-pattern-networks-1702.01125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-prediction-using-spatiotemporal-pattern-networks-1702.01125"/></url>
<url><loc>https://scifaro.com/en/abs/query-efficient-posterior-estimation-in-scientific-experiments-via-bayesian-active-learning-1702.01145</loc><lastmod>2017-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/query-efficient-posterior-estimation-in-scientific-experiments-via-bayesian-active-learning-1702.01145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/query-efficient-posterior-estimation-in-scientific-experiments-via-bayesian-active-learning-1702.01145"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-sensor-fusion-for-ambient-assisted-living-1702.01209</loc><lastmod>2017-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-sensor-fusion-for-ambient-assisted-living-1702.01209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-sensor-fusion-for-ambient-assisted-living-1702.01209"/></url>
<url><loc>https://scifaro.com/en/abs/exact-heat-kernel-on-a-hypersphere-and-its-applications-in-kernel-svm-1702.01373</loc><lastmod>2018-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-heat-kernel-on-a-hypersphere-and-its-applications-in-kernel-svm-1702.01373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-heat-kernel-on-a-hypersphere-and-its-applications-in-kernel-svm-1702.01373"/></url>
<url><loc>https://scifaro.com/en/abs/shape-based-approach-to-household-load-curve-clustering-and-prediction-1702.01414</loc><lastmod>2017-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shape-based-approach-to-household-load-curve-clustering-and-prediction-1702.01414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shape-based-approach-to-household-load-curve-clustering-and-prediction-1702.01414"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-symbolic-dynamic-filtering-of-streaming-non-stationary-time-series-data-1702.01811</loc><lastmod>2017-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-symbolic-dynamic-filtering-of-streaming-non-stationary-time-series-data-1702.01811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-symbolic-dynamic-filtering-of-streaming-non-stationary-time-series-data-1702.01811"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-kidney-function-from-biopsy-images-using-convolutional-neural-networks-1702.01816</loc><lastmod>2017-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-kidney-function-from-biopsy-images-using-convolutional-neural-networks-1702.01816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-kidney-function-from-biopsy-images-using-convolutional-neural-networks-1702.01816"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-pairwise-relations-with-neural-similarity-encoders-1702.01824</loc><lastmod>2019-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-pairwise-relations-with-neural-similarity-encoders-1702.01824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-pairwise-relations-with-neural-similarity-encoders-1702.01824"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-matrix-recovery-with-simultaneous-presence-of-outliers-and-sparse-corruption-1702.01847</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-matrix-recovery-with-simultaneous-presence-of-outliers-and-sparse-corruption-1702.01847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-matrix-recovery-with-simultaneous-presence-of-outliers-and-sparse-corruption-1702.01847"/></url>
<url><loc>https://scifaro.com/en/abs/learning-what-matters-sampling-interesting-patterns-1702.01975</loc><lastmod>2017-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-what-matters-sampling-interesting-patterns-1702.01975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-what-matters-sampling-interesting-patterns-1702.01975"/></url>
<url><loc>https://scifaro.com/en/abs/gated-multimodal-units-for-information-fusion-1702.01992</loc><lastmod>2017-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gated-multimodal-units-for-information-fusion-1702.01992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gated-multimodal-units-for-information-fusion-1702.01992"/></url>
<url><loc>https://scifaro.com/en/abs/truncated-variational-em-for-semi-supervised-neural-simpletrons-1702.01997</loc><lastmod>2017-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/truncated-variational-em-for-semi-supervised-neural-simpletrons-1702.01997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/truncated-variational-em-for-semi-supervised-neural-simpletrons-1702.01997"/></url>
<url><loc>https://scifaro.com/en/abs/robust-clustering-for-time-series-using-spectral-densities-and-functional-data-analysis-1702.02165</loc><lastmod>2017-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-clustering-for-time-series-using-spectral-densities-and-functional-data-analysis-1702.02165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-clustering-for-time-series-using-spectral-densities-and-functional-data-analysis-1702.02165"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-completion-from-o-n-samples-in-linear-time-1702.02267</loc><lastmod>2017-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-completion-from-o-n-samples-in-linear-time-1702.02267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-completion-from-o-n-samples-in-linear-time-1702.02267"/></url>
<url><loc>https://scifaro.com/en/abs/deep-kernelized-autoencoders-1702.02526</loc><lastmod>2017-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-kernelized-autoencoders-1702.02526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-kernelized-autoencoders-1702.02526"/></url>
<url><loc>https://scifaro.com/en/abs/learning-detectors-of-malicious-web-requests-for-intrusion-detection-in-network-traffic-1702.02530</loc><lastmod>2017-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-detectors-of-malicious-web-requests-for-intrusion-detection-in-network-traffic-1702.02530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-detectors-of-malicious-web-requests-for-intrusion-detection-in-network-traffic-1702.02530"/></url>
<url><loc>https://scifaro.com/en/abs/a-modified-construction-for-a-support-vector-classifier-to-accommodate-class-imbalances-1702.02555</loc><lastmod>2017-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-modified-construction-for-a-support-vector-classifier-to-accommodate-class-imbalances-1702.02555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-modified-construction-for-a-support-vector-classifier-to-accommodate-class-imbalances-1702.02555"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-neighbor-embedding-separates-well-separated-clusters-1702.02670</loc><lastmod>2017-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-neighbor-embedding-separates-well-separated-clusters-1702.02670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-neighbor-embedding-separates-well-separated-clusters-1702.02670"/></url>
<url><loc>https://scifaro.com/en/abs/rate-optimal-estimation-and-confidence-intervals-for-high-dimensional-regression-with-missing-covariates-1702.02686</loc><lastmod>2017-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rate-optimal-estimation-and-confidence-intervals-for-high-dimensional-regression-with-missing-covariates-1702.02686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rate-optimal-estimation-and-confidence-intervals-for-high-dimensional-regression-with-missing-covariates-1702.02686"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-and-scalable-joint-estimator-for-learning-multiple-related-sparse-gaussian-graphical-models-1702.02715</loc><lastmod>2018-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-and-scalable-joint-estimator-for-learning-multiple-related-sparse-gaussian-graphical-models-1702.02715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-and-scalable-joint-estimator-for-learning-multiple-related-sparse-gaussian-graphical-models-1702.02715"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-lower-bounds-for-ridge-combinations-including-neural-nets-1702.02828</loc><lastmod>2017-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-lower-bounds-for-ridge-combinations-including-neural-nets-1702.02828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-lower-bounds-for-ridge-combinations-including-neural-nets-1702.02828"/></url>
<url><loc>https://scifaro.com/en/abs/fixing-an-error-in-caponnetto-and-de-vito-2007-1702.02982</loc><lastmod>2021-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fixing-an-error-in-caponnetto-and-de-vito-2007-1702.02982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fixing-an-error-in-caponnetto-and-de-vito-2007-1702.02982"/></url>
<url><loc>https://scifaro.com/en/abs/l-2-boosting-for-economic-applications-1702.03244</loc><lastmod>2017-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l-2-boosting-for-economic-applications-1702.03244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l-2-boosting-for-economic-applications-1702.03244"/></url>
<url><loc>https://scifaro.com/en/abs/batch-policy-gradient-methods-for-improving-neural-conversation-models-1702.03334</loc><lastmod>2017-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-policy-gradient-methods-for-improving-neural-conversation-models-1702.03334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-policy-gradient-methods-for-improving-neural-conversation-models-1702.03334"/></url>
<url><loc>https://scifaro.com/en/abs/on-consistency-of-compressive-spectral-clustering-1702.03522</loc><lastmod>2018-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-consistency-of-compressive-spectral-clustering-1702.03522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-consistency-of-compressive-spectral-clustering-1702.03522"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-expressive-and-local-minima-free-method-for-learning-controlled-dynamical-systems-1702.03537</loc><lastmod>2018-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-expressive-and-local-minima-free-method-for-learning-controlled-dynamical-systems-1702.03537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-expressive-and-local-minima-free-method-for-learning-controlled-dynamical-systems-1702.03537"/></url>
<url><loc>https://scifaro.com/en/abs/metboost-exploratory-regression-analysis-with-hierarchically-clustered-data-1702.03994</loc><lastmod>2017-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metboost-exploratory-regression-analysis-with-hierarchically-clustered-data-1702.03994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metboost-exploratory-regression-analysis-with-hierarchically-clustered-data-1702.03994"/></url>
<url><loc>https://scifaro.com/en/abs/soft-weight-sharing-for-neural-network-compression-1702.04008</loc><lastmod>2017-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-weight-sharing-for-neural-network-compression-1702.04008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-weight-sharing-for-neural-network-compression-1702.04008"/></url>
<url><loc>https://scifaro.com/en/abs/intercomparison-of-machine-learning-methods-for-statistical-downscaling-the-case-of-daily-and-extreme-precipitation-1702.04018</loc><lastmod>2017-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intercomparison-of-machine-learning-methods-for-statistical-downscaling-the-case-of-daily-and-extreme-precipitation-1702.04018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intercomparison-of-machine-learning-methods-for-statistical-downscaling-the-case-of-daily-and-extreme-precipitation-1702.04018"/></url>
<url><loc>https://scifaro.com/en/abs/practical-learning-of-predictive-state-representations-1702.04121</loc><lastmod>2017-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-learning-of-predictive-state-representations-1702.04121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-learning-of-predictive-state-representations-1702.04121"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-dirichlet-posterior-dominance-in-sequential-learning-1702.04126</loc><lastmod>2018-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-dirichlet-posterior-dominance-in-sequential-learning-1702.04126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-dirichlet-posterior-dominance-in-sequential-learning-1702.04126"/></url>
<url><loc>https://scifaro.com/en/abs/design-of-a-time-delay-reservoir-using-stochastic-logic-a-feasibility-study-1702.04265</loc><lastmod>2017-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/design-of-a-time-delay-reservoir-using-stochastic-logic-a-feasibility-study-1702.04265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/design-of-a-time-delay-reservoir-using-stochastic-logic-a-feasibility-study-1702.04265"/></url>
<url><loc>https://scifaro.com/en/abs/on-detecting-adversarial-perturbations-1702.04267</loc><lastmod>2017-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-detecting-adversarial-perturbations-1702.04267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-detecting-adversarial-perturbations-1702.04267"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-dirichlet-process-mixtures-of-multivariate-skew-t-distributions-for-model-based-clustering-of-flow-cytometry-data-1702.04407</loc><lastmod>2022-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-dirichlet-process-mixtures-of-multivariate-skew-t-distributions-for-model-based-clustering-of-flow-cytometry-data-1702.04407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-dirichlet-process-mixtures-of-multivariate-skew-t-distributions-for-model-based-clustering-of-flow-cytometry-data-1702.04407"/></url>
<url><loc>https://scifaro.com/en/abs/probing-for-sparse-and-fast-variable-selection-with-model-based-boosting-1702.04561</loc><lastmod>2017-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probing-for-sparse-and-fast-variable-selection-with-model-based-boosting-1702.04561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probing-for-sparse-and-fast-variable-selection-with-model-based-boosting-1702.04561"/></url>
<url><loc>https://scifaro.com/en/abs/nearest-labelset-using-double-distances-for-multi-label-classification-1702.04684</loc><lastmod>2023-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearest-labelset-using-double-distances-for-multi-label-classification-1702.04684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearest-labelset-using-double-distances-for-multi-label-classification-1702.04684"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-additive-adaptive-basis-tensor-product-models-for-modeling-high-dimensional-surfaces-an-application-to-high-throughput-toxicity-testing-1702.04775</loc><lastmod>2017-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-additive-adaptive-basis-tensor-product-models-for-modeling-high-dimensional-surfaces-an-application-to-high-throughput-toxicity-testing-1702.04775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-additive-adaptive-basis-tensor-product-models-for-modeling-high-dimensional-surfaces-an-application-to-high-throughput-toxicity-testing-1702.04775"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-partition-models-1702.04832</loc><lastmod>2017-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-partition-models-1702.04832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-partition-models-1702.04832"/></url>
<url><loc>https://scifaro.com/en/abs/sketched-ridge-regression-optimization-perspective-statistical-perspective-and-model-averaging-1702.04837</loc><lastmod>2018-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sketched-ridge-regression-optimization-perspective-statistical-perspective-and-model-averaging-1702.04837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sketched-ridge-regression-optimization-perspective-statistical-perspective-and-model-averaging-1702.04837"/></url>
<url><loc>https://scifaro.com/en/abs/additive-models-with-trend-filtering-1702.05037</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/additive-models-with-trend-filtering-1702.05037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/additive-models-with-trend-filtering-1702.05037"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-bayes-approach-for-high-dimensional-classification-1702.05056</loc><lastmod>2017-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-bayes-approach-for-high-dimensional-classification-1702.05056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-bayes-approach-for-high-dimensional-classification-1702.05056"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-for-discrete-choice-models-1702.05137</loc><lastmod>2017-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-for-discrete-choice-models-1702.05137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-for-discrete-choice-models-1702.05137"/></url>
<url><loc>https://scifaro.com/en/abs/latent-laplacian-maximum-entropy-discrimination-for-detection-of-high-utility-anomalies-1702.05148</loc><lastmod>2018-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-laplacian-maximum-entropy-discrimination-for-detection-of-high-utility-anomalies-1702.05148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-laplacian-maximum-entropy-discrimination-for-detection-of-high-utility-anomalies-1702.05148"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-nonlinear-dynamics-with-the-convnet-smoother-1702.05243</loc><lastmod>2017-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-nonlinear-dynamics-with-the-convnet-smoother-1702.05243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-nonlinear-dynamics-with-the-convnet-smoother-1702.05243"/></url>
<url><loc>https://scifaro.com/en/abs/observable-dictionary-learning-for-high-dimensional-statistical-inference-1702.05289</loc><lastmod>2017-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/observable-dictionary-learning-for-high-dimensional-statistical-inference-1702.05289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/observable-dictionary-learning-for-high-dimensional-statistical-inference-1702.05289"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-surgery-duration-with-neural-heteroscedastic-regression-1702.05386</loc><lastmod>2017-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-surgery-duration-with-neural-heteroscedastic-regression-1702.05386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-surgery-duration-with-neural-heteroscedastic-regression-1702.05386"/></url>
<url><loc>https://scifaro.com/en/abs/how-close-are-the-eigenvectors-and-eigenvalues-of-the-sample-and-actual-covariance-matrices-1702.05443</loc><lastmod>2017-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-close-are-the-eigenvectors-and-eigenvalues-of-the-sample-and-actual-covariance-matrices-1702.05443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-close-are-the-eigenvectors-and-eigenvalues-of-the-sample-and-actual-covariance-matrices-1702.05443"/></url>
<url><loc>https://scifaro.com/en/abs/maximally-correlated-principal-component-analysis-1702.05471</loc><lastmod>2017-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximally-correlated-principal-component-analysis-1702.05471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximally-correlated-principal-component-analysis-1702.05471"/></url>
<url><loc>https://scifaro.com/en/abs/dataset-augmentation-in-feature-space-1702.05538</loc><lastmod>2017-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dataset-augmentation-in-feature-space-1702.05538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dataset-augmentation-in-feature-space-1702.05538"/></url>
<url><loc>https://scifaro.com/en/abs/saga-and-restricted-strong-convexity-1702.05683</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/saga-and-restricted-strong-convexity-1702.05683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/saga-and-restricted-strong-convexity-1702.05683"/></url>
<url><loc>https://scifaro.com/en/abs/exponentially-vanishing-sub-optimal-local-minima-in-multilayer-neural-networks-1702.05777</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponentially-vanishing-sub-optimal-local-minima-in-multilayer-neural-networks-1702.05777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponentially-vanishing-sub-optimal-local-minima-in-multilayer-neural-networks-1702.05777"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-learning-approach-to-modal-regression-1702.05960</loc><lastmod>2020-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-learning-approach-to-modal-regression-1702.05960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-learning-approach-to-modal-regression-1702.05960"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-boolean-matrix-factorisation-1702.06166</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-boolean-matrix-factorisation-1702.06166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-boolean-matrix-factorisation-1702.06166"/></url>
<url><loc>https://scifaro.com/en/abs/uniform-inference-for-high-dimensional-quantile-regression-linear-functionals-and-regression-rank-scores-1702.06209</loc><lastmod>2017-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uniform-inference-for-high-dimensional-quantile-regression-linear-functionals-and-regression-rank-scores-1702.06209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uniform-inference-for-high-dimensional-quantile-regression-linear-functionals-and-regression-rank-scores-1702.06209"/></url>
<url><loc>https://scifaro.com/en/abs/easily-parallelizable-and-distributable-class-of-algorithms-for-structured-sparsity-with-optimal-acceleration-1702.06234</loc><lastmod>2021-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/easily-parallelizable-and-distributable-class-of-algorithms-for-structured-sparsity-with-optimal-acceleration-1702.06234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/easily-parallelizable-and-distributable-class-of-algorithms-for-structured-sparsity-with-optimal-acceleration-1702.06234"/></url>
<url><loc>https://scifaro.com/en/abs/column-normalization-of-a-random-measurement-matrix-1702.06278</loc><lastmod>2017-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/column-normalization-of-a-random-measurement-matrix-1702.06278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/column-normalization-of-a-random-measurement-matrix-1702.06278"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-outliers-localized-logistic-regression-for-density-ratio-estimation-1702.06354</loc><lastmod>2017-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-outliers-localized-logistic-regression-for-density-ratio-estimation-1702.06354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-outliers-localized-logistic-regression-for-density-ratio-estimation-1702.06354"/></url>
<url><loc>https://scifaro.com/en/abs/causal-inference-on-multivariate-and-mixed-type-data-1702.06385</loc><lastmod>2017-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-inference-on-multivariate-and-mixed-type-data-1702.06385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-inference-on-multivariate-and-mixed-type-data-1702.06385"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-for-low-rank-plus-sparse-matrix-recovery-1702.06525</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-for-low-rank-plus-sparse-matrix-recovery-1702.06525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-for-low-rank-plus-sparse-matrix-recovery-1702.06525"/></url>
<url><loc>https://scifaro.com/en/abs/social-learning-and-diffusion-of-pervasive-goods-an-empirical-study-of-an-african-app-store-1702.06661</loc><lastmod>2017-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/social-learning-and-diffusion-of-pervasive-goods-an-empirical-study-of-an-african-app-store-1702.06661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/social-learning-and-diffusion-of-pervasive-goods-an-empirical-study-of-an-african-app-store-1702.06661"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-representations-of-signed-networks-1702.06819</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-representations-of-signed-networks-1702.06819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-representations-of-signed-networks-1702.06819"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-examples-for-generative-models-1702.06832</loc><lastmod>2017-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-examples-for-generative-models-1702.06832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-examples-for-generative-models-1702.06832"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-power-of-truncated-svd-for-general-high-rank-matrix-estimation-problems-1702.06861</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-power-of-truncated-svd-for-general-high-rank-matrix-estimation-problems-1702.06861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-power-of-truncated-svd-for-general-high-rank-matrix-estimation-problems-1702.06861"/></url>
<url><loc>https://scifaro.com/en/abs/liquidsvm-a-fast-and-versatile-svm-package-1702.06899</loc><lastmod>2017-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/liquidsvm-a-fast-and-versatile-svm-package-1702.06899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/liquidsvm-a-fast-and-versatile-svm-package-1702.06899"/></url>
<url><loc>https://scifaro.com/en/abs/on-polynomial-time-methods-for-exact-low-rank-tensor-completion-1702.06980</loc><lastmod>2017-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-polynomial-time-methods-for-exact-low-rank-tensor-completion-1702.06980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-polynomial-time-methods-for-exact-low-rank-tensor-completion-1702.06980"/></url>
<url><loc>https://scifaro.com/en/abs/one-size-fits-many-column-bundle-for-multi-x-learning-1702.07021</loc><lastmod>2017-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-size-fits-many-column-bundle-for-multi-x-learning-1702.07021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-size-fits-many-column-bundle-for-multi-x-learning-1702.07021"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-parallel-algorithm-for-regularized-group-pls-scalable-to-big-data-1702.07066</loc><lastmod>2017-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-parallel-algorithm-for-regularized-group-pls-scalable-to-big-data-1702.07066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-parallel-algorithm-for-regularized-group-pls-scalable-to-big-data-1702.07066"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-inference-for-nested-chinese-restaurant-process-topic-models-1702.07083</loc><lastmod>2017-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-inference-for-nested-chinese-restaurant-process-topic-models-1702.07083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-inference-for-nested-chinese-restaurant-process-topic-models-1702.07083"/></url>
<url><loc>https://scifaro.com/en/abs/consistent-on-line-off-policy-evaluation-1702.07121</loc><lastmod>2017-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-on-line-off-policy-evaluation-1702.07121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-on-line-off-policy-evaluation-1702.07121"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-representation-for-lifetime-value-recommender-systems-1702.07125</loc><lastmod>2017-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-representation-for-lifetime-value-recommender-systems-1702.07125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-representation-for-lifetime-value-recommender-systems-1702.07125"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-clustering-using-pckid-a-probabilistic-cluster-kernel-for-incomplete-data-1702.07190</loc><lastmod>2017-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-clustering-using-pckid-a-probabilistic-cluster-kernel-for-incomplete-data-1702.07190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-clustering-using-pckid-a-probabilistic-cluster-kernel-for-incomplete-data-1702.07190"/></url>
<url><loc>https://scifaro.com/en/abs/a-minimax-and-asymptotically-optimal-algorithm-for-stochastic-bandits-1702.07211</loc><lastmod>2017-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-minimax-and-asymptotically-optimal-algorithm-for-stochastic-bandits-1702.07211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-minimax-and-asymptotically-optimal-algorithm-for-stochastic-bandits-1702.07211"/></url>
<url><loc>https://scifaro.com/en/abs/sobolev-norm-learning-rates-for-regularized-least-squares-algorithm-1702.07254</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sobolev-norm-learning-rates-for-regularized-least-squares-algorithm-1702.07254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sobolev-norm-learning-rates-for-regularized-least-squares-algorithm-1702.07254"/></url>
<url><loc>https://scifaro.com/en/abs/rotting-bandits-1702.07274</loc><lastmod>2017-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rotting-bandits-1702.07274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rotting-bandits-1702.07274"/></url>
<url><loc>https://scifaro.com/en/abs/online-multiclass-boosting-1702.07305</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-multiclass-boosting-1702.07305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-multiclass-boosting-1702.07305"/></url>
<url><loc>https://scifaro.com/en/abs/causal-discovery-using-proxy-variables-1702.07306</loc><lastmod>2017-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-discovery-using-proxy-variables-1702.07306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-discovery-using-proxy-variables-1702.07306"/></url>
<url><loc>https://scifaro.com/en/abs/neural-decision-trees-1702.07360</loc><lastmod>2017-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-decision-trees-1702.07360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-decision-trees-1702.07360"/></url>
<url><loc>https://scifaro.com/en/abs/deep-nonparametric-estimation-of-discrete-conditional-distributions-via-smoothed-dyadic-partitioning-1702.07398</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-nonparametric-estimation-of-discrete-conditional-distributions-via-smoothed-dyadic-partitioning-1702.07398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-nonparametric-estimation-of-discrete-conditional-distributions-via-smoothed-dyadic-partitioning-1702.07398"/></url>
<url><loc>https://scifaro.com/en/abs/horseshoe-regularization-for-feature-subset-selection-1702.07400</loc><lastmod>2017-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/horseshoe-regularization-for-feature-subset-selection-1702.07400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/horseshoe-regularization-for-feature-subset-selection-1702.07400"/></url>
<url><loc>https://scifaro.com/en/abs/gaptv-accurate-and-interpretable-low-dimensional-regression-and-classification-1702.07405</loc><lastmod>2017-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaptv-accurate-and-interpretable-low-dimensional-regression-and-classification-1702.07405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaptv-accurate-and-interpretable-low-dimensional-regression-and-classification-1702.07405"/></url>
<url><loc>https://scifaro.com/en/abs/sequence-modeling-via-segmentations-1702.07463</loc><lastmod>2018-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequence-modeling-via-segmentations-1702.07463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequence-modeling-via-segmentations-1702.07463"/></url>
<url><loc>https://scifaro.com/en/abs/learning-rates-for-kernel-based-expectile-regression-1702.07552</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-rates-for-kernel-based-expectile-regression-1702.07552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-rates-for-kernel-based-expectile-regression-1702.07552"/></url>
<url><loc>https://scifaro.com/en/abs/microwave-breast-cancer-detection-using-empirical-mode-decomposition-features-1702.07608</loc><lastmod>2017-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/microwave-breast-cancer-detection-using-empirical-mode-decomposition-features-1702.07608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/microwave-breast-cancer-detection-using-empirical-mode-decomposition-features-1702.07608"/></url>
<url><loc>https://scifaro.com/en/abs/bayes-optimal-entropy-pursuit-for-active-choice-based-preference-learning-1702.07694</loc><lastmod>2017-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayes-optimal-entropy-pursuit-for-active-choice-based-preference-learning-1702.07694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayes-optimal-entropy-pursuit-for-active-choice-based-preference-learning-1702.07694"/></url>
<url><loc>https://scifaro.com/en/abs/computationally-efficient-robust-estimation-of-sparse-functionals-1702.07709</loc><lastmod>2017-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computationally-efficient-robust-estimation-of-sparse-functionals-1702.07709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computationally-efficient-robust-estimation-of-sparse-functionals-1702.07709"/></url>
<url><loc>https://scifaro.com/en/abs/changing-model-behavior-at-test-time-using-reinforcement-learning-1702.07780</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/changing-model-behavior-at-test-time-using-reinforcement-learning-1702.07780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/changing-model-behavior-at-test-time-using-reinforcement-learning-1702.07780"/></url>
<url><loc>https://scifaro.com/en/abs/activation-ensembles-for-deep-neural-networks-1702.07790</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/activation-ensembles-for-deep-neural-networks-1702.07790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/activation-ensembles-for-deep-neural-networks-1702.07790"/></url>
<url><loc>https://scifaro.com/en/abs/rank-to-engage-new-listwise-approaches-to-maximize-engagement-1702.07798</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rank-to-engage-new-listwise-approaches-to-maximize-engagement-1702.07798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rank-to-engage-new-listwise-approaches-to-maximize-engagement-1702.07798"/></url>
<url><loc>https://scifaro.com/en/abs/ratio-utility-and-cost-analysis-for-privacy-preserving-subspace-projection-1702.07976</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ratio-utility-and-cost-analysis-for-privacy-preserving-subspace-projection-1702.07976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ratio-utility-and-cost-analysis-for-privacy-preserving-subspace-projection-1702.07976"/></url>
<url><loc>https://scifaro.com/en/abs/kiefer-wolfowitz-algorithm-is-asymptotically-optimal-for-a-class-of-non-stationary-bandit-problems-1702.08000</loc><lastmod>2017-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kiefer-wolfowitz-algorithm-is-asymptotically-optimal-for-a-class-of-non-stationary-bandit-problems-1702.08000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kiefer-wolfowitz-algorithm-is-asymptotically-optimal-for-a-class-of-non-stationary-bandit-problems-1702.08000"/></url>
<url><loc>https://scifaro.com/en/abs/support-vector-machine-and-its-bias-correction-in-high-dimension-low-sample-size-settings-1702.08019</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/support-vector-machine-and-its-bias-correction-in-high-dimension-low-sample-size-settings-1702.08019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/support-vector-machine-and-its-bias-correction-in-high-dimension-low-sample-size-settings-1702.08019"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-chaining-and-the-role-of-partial-feedback-in-online-nonparametric-learning-1702.08211</loc><lastmod>2017-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-chaining-and-the-role-of-partial-feedback-in-online-nonparametric-learning-1702.08211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-chaining-and-the-role-of-partial-feedback-in-online-nonparametric-learning-1702.08211"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-using-implicit-distributions-1702.08235</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-using-implicit-distributions-1702.08235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-using-implicit-distributions-1702.08235"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-on-random-simple-graphs-with-power-law-degree-distributions-1702.08239</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-on-random-simple-graphs-with-power-law-degree-distributions-1702.08239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-on-random-simple-graphs-with-power-law-degree-distributions-1702.08239"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-k-means-clustering-via-lightweight-coresets-1702.08248</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-k-means-clustering-via-lightweight-coresets-1702.08248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-k-means-clustering-via-lightweight-coresets-1702.08248"/></url>
<url><loc>https://scifaro.com/en/abs/uniform-deviation-bounds-for-unbounded-loss-functions-like-k-means-1702.08249</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uniform-deviation-bounds-for-unbounded-loss-functions-like-k-means-1702.08249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uniform-deviation-bounds-for-unbounded-loss-functions-like-k-means-1702.08249"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-pseudo-likelihood-method-for-sparse-binary-pairwise-markov-network-estimation-1702.08320</loc><lastmod>2017-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-pseudo-likelihood-method-for-sparse-binary-pairwise-markov-network-estimation-1702.08320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-pseudo-likelihood-method-for-sparse-binary-pairwise-markov-network-estimation-1702.08320"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-inference-with-amortised-mcmc-1702.08343</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-inference-with-amortised-mcmc-1702.08343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-inference-with-amortised-mcmc-1702.08343"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-word-embeddings-1702.08359</loc><lastmod>2017-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-word-embeddings-1702.08359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-word-embeddings-1702.08359"/></url>
<url><loc>https://scifaro.com/en/abs/equivariance-through-parameter-sharing-1702.08389</loc><lastmod>2017-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivariance-through-parameter-sharing-1702.08389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivariance-through-parameter-sharing-1702.08389"/></url>
<url><loc>https://scifaro.com/en/abs/a-mutually-dependent-hadamard-kernel-for-modelling-latent-variable-couplings-1702.08402</loc><lastmod>2017-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-mutually-dependent-hadamard-kernel-for-modelling-latent-variable-couplings-1702.08402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-mutually-dependent-hadamard-kernel-for-modelling-latent-variable-couplings-1702.08402"/></url>
<url><loc>https://scifaro.com/en/abs/embarrassingly-parallel-inference-for-gaussian-processes-1702.08420</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embarrassingly-parallel-inference-for-gaussian-processes-1702.08420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embarrassingly-parallel-inference-for-gaussian-processes-1702.08420"/></url>
<url><loc>https://scifaro.com/en/abs/boundary-seeking-generative-adversarial-networks-1702.08431</loc><lastmod>2018-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boundary-seeking-generative-adversarial-networks-1702.08431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boundary-seeking-generative-adversarial-networks-1702.08431"/></url>
<url><loc>https://scifaro.com/en/abs/fast-threshold-tests-for-detecting-discrimination-1702.08536</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-threshold-tests-for-detecting-discrimination-1702.08536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-threshold-tests-for-detecting-discrimination-1702.08536"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-using-uncertainty-information-1702.08540</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-using-uncertainty-information-1702.08540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-using-uncertainty-information-1702.08540"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-rigorous-science-of-interpretable-machine-learning-1702.08608</loc><lastmod>2017-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-rigorous-science-of-interpretable-machine-learning-1702.08608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-rigorous-science-of-interpretable-machine-learning-1702.08608"/></url>
<url><loc>https://scifaro.com/en/abs/speeding-up-latent-variable-gaussian-graphical-model-estimation-via-nonconvex-optimizations-1702.08651</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/speeding-up-latent-variable-gaussian-graphical-model-estimation-via-nonconvex-optimizations-1702.08651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/speeding-up-latent-variable-gaussian-graphical-model-estimation-via-nonconvex-optimizations-1702.08651"/></url>
<url><loc>https://scifaro.com/en/abs/finding-statistically-significant-interactions-between-continuous-features-1702.08694</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-statistically-significant-interactions-between-continuous-features-1702.08694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-statistically-significant-interactions-between-continuous-features-1702.08694"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-stability-and-hypothesis-complexity-1702.08712</loc><lastmod>2017-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-stability-and-hypothesis-complexity-1702.08712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-stability-and-hypothesis-complexity-1702.08712"/></url>
<url><loc>https://scifaro.com/en/abs/learning-discrete-representations-via-information-maximizing-self-augmented-training-1702.08720</loc><lastmod>2017-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-discrete-representations-via-information-maximizing-self-augmented-training-1702.08720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-discrete-representations-via-information-maximizing-self-augmented-training-1702.08720"/></url>
<url><loc>https://scifaro.com/en/abs/central-moment-discrepancy-cmd-for-domain-invariant-representation-learning-1702.08811</loc><lastmod>2019-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/central-moment-discrepancy-cmd-for-domain-invariant-representation-learning-1702.08811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/central-moment-discrepancy-cmd-for-domain-invariant-representation-learning-1702.08811"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-based-on-distributionally-robust-optimization-1702.08848</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-based-on-distributionally-robust-optimization-1702.08848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-based-on-distributionally-robust-optimization-1702.08848"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-implicit-models-and-likelihood-free-variational-inference-1702.08896</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-implicit-models-and-likelihood-free-variational-inference-1702.08896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-implicit-models-and-likelihood-free-variational-inference-1702.08896"/></url>
<url><loc>https://scifaro.com/en/abs/a-description-length-approach-to-determining-the-number-of-k-means-clusters-1703.00039</loc><lastmod>2017-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-description-length-approach-to-determining-the-number-of-k-means-clusters-1703.00039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-description-length-approach-to-determining-the-number-of-k-means-clusters-1703.00039"/></url>
<url><loc>https://scifaro.com/en/abs/semi-analytical-approximations-to-statistical-moments-of-sigmoid-and-softmax-mappings-of-normal-variables-1703.00091</loc><lastmod>2017-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-analytical-approximations-to-statistical-moments-of-sigmoid-and-softmax-mappings-of-normal-variables-1703.00091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-analytical-approximations-to-statistical-moments-of-sigmoid-and-softmax-mappings-of-normal-variables-1703.00091"/></url>
<url><loc>https://scifaro.com/en/abs/sarah-a-novel-method-for-machine-learning-problems-using-stochastic-recursive-gradient-1703.00102</loc><lastmod>2017-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sarah-a-novel-method-for-machine-learning-problems-using-stochastic-recursive-gradient-1703.00102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sarah-a-novel-method-for-machine-learning-problems-using-stochastic-recursive-gradient-1703.00102"/></url>
<url><loc>https://scifaro.com/en/abs/modular-representation-of-layered-neural-networks-1703.00168</loc><lastmod>2017-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modular-representation-of-layered-neural-networks-1703.00168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modular-representation-of-layered-neural-networks-1703.00168"/></url>
<url><loc>https://scifaro.com/en/abs/online-natural-gradient-as-a-kalman-filter-1703.00209</loc><lastmod>2018-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-natural-gradient-as-a-kalman-filter-1703.00209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-natural-gradient-as-a-kalman-filter-1703.00209"/></url>
<url><loc>https://scifaro.com/en/abs/l-3-svms-landmarks-based-linear-local-support-vectors-machines-1703.00284</loc><lastmod>2017-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l-3-svms-landmarks-based-linear-local-support-vectors-machines-1703.00284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l-3-svms-landmarks-based-linear-local-support-vectors-machines-1703.00284"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-rate-of-a-simulated-annealing-algorithm-with-noisy-observations-1703.00329</loc><lastmod>2017-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-rate-of-a-simulated-annealing-algorithm-with-noisy-observations-1703.00329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-rate-of-a-simulated-annealing-algorithm-with-noisy-observations-1703.00329"/></url>
<url><loc>https://scifaro.com/en/abs/generating-steganographic-images-via-adversarial-training-1703.00371</loc><lastmod>2017-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-steganographic-images-via-adversarial-training-1703.00371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-steganographic-images-via-adversarial-training-1703.00371"/></url>
<url><loc>https://scifaro.com/en/abs/lossy-image-compression-with-compressive-autoencoders-1703.00395</loc><lastmod>2017-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lossy-image-compression-with-compressive-autoencoders-1703.00395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lossy-image-compression-with-compressive-autoencoders-1703.00395"/></url>
<url><loc>https://scifaro.com/en/abs/preserving-differential-privacy-between-features-in-distributed-estimation-1703.00403</loc><lastmod>2018-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preserving-differential-privacy-between-features-in-distributed-estimation-1703.00403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preserving-differential-privacy-between-features-in-distributed-estimation-1703.00403"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-adversarial-samples-from-artifacts-1703.00410</loc><lastmod>2017-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-adversarial-samples-from-artifacts-1703.00410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-adversarial-samples-from-artifacts-1703.00410"/></url>
<url><loc>https://scifaro.com/en/abs/human-interaction-with-recommendation-systems-1703.00535</loc><lastmod>2018-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-interaction-with-recommendation-systems-1703.00535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-interaction-with-recommendation-systems-1703.00535"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-accurate-estimation-of-linear-models-1703.00579</loc><lastmod>2017-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-accurate-estimation-of-linear-models-1703.00579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-accurate-estimation-of-linear-models-1703.00579"/></url>
<url><loc>https://scifaro.com/en/abs/the-second-order-linear-model-1703.00598</loc><lastmod>2017-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-second-order-linear-model-1703.00598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-second-order-linear-model-1703.00598"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-bayesian-matrix-factorization-with-limited-communication-1703.00734</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-bayesian-matrix-factorization-with-limited-communication-1703.00734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-bayesian-matrix-factorization-with-limited-communication-1703.00734"/></url>
<url><loc>https://scifaro.com/en/abs/linearly-constrained-gaussian-processes-1703.00787</loc><lastmod>2017-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linearly-constrained-gaussian-processes-1703.00787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linearly-constrained-gaussian-processes-1703.00787"/></url>
<url><loc>https://scifaro.com/en/abs/encrypted-accelerated-least-squares-regression-1703.00839</loc><lastmod>2017-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/encrypted-accelerated-least-squares-regression-1703.00839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/encrypted-accelerated-least-squares-regression-1703.00839"/></url>
<url><loc>https://scifaro.com/en/abs/the-unreasonable-effectiveness-of-structured-random-orthogonal-embeddings-1703.00864</loc><lastmod>2018-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-unreasonable-effectiveness-of-structured-random-orthogonal-embeddings-1703.00864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-unreasonable-effectiveness-of-structured-random-orthogonal-embeddings-1703.00864"/></url>
<url><loc>https://scifaro.com/en/abs/self-paced-multitask-learning-with-shared-knowledge-1703.00977</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-paced-multitask-learning-with-shared-knowledge-1703.00977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-paced-multitask-learning-with-shared-knowledge-1703.00977"/></url>
<url><loc>https://scifaro.com/en/abs/co-clustering-for-multitask-learning-1703.00994</loc><lastmod>2017-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/co-clustering-for-multitask-learning-1703.00994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/co-clustering-for-multitask-learning-1703.00994"/></url>
<url><loc>https://scifaro.com/en/abs/gauging-variational-inference-1703.01056</loc><lastmod>2017-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gauging-variational-inference-1703.01056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gauging-variational-inference-1703.01056"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-examples-for-semantic-image-segmentation-1703.01101</loc><lastmod>2017-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-examples-for-semantic-image-segmentation-1703.01101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-examples-for-semantic-image-segmentation-1703.01101"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-bayesian-learning-on-distributed-data-1703.01106</loc><lastmod>2017-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-bayesian-learning-on-distributed-data-1703.01106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-bayesian-learning-on-distributed-data-1703.01106"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-on-sequential-data-using-a-recurrent-weighted-average-1703.01253</loc><lastmod>2019-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-on-sequential-data-using-a-recurrent-weighted-average-1703.01253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-on-sequential-data-using-a-recurrent-weighted-average-1703.01253"/></url>
<url><loc>https://scifaro.com/en/abs/an-unsupervised-bayesian-approach-for-the-joint-reconstruction-and-classification-of-cutaneous-reflectance-confocal-microscopy-images-1703.01444</loc><lastmod>2017-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-unsupervised-bayesian-approach-for-the-joint-reconstruction-and-classification-of-cutaneous-reflectance-confocal-microscopy-images-1703.01444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-unsupervised-bayesian-approach-for-the-joint-reconstruction-and-classification-of-cutaneous-reflectance-confocal-microscopy-images-1703.01444"/></url>
<url><loc>https://scifaro.com/en/abs/autoencoding-variational-inference-for-topic-models-1703.01488</loc><lastmod>2017-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoencoding-variational-inference-for-topic-models-1703.01488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoencoding-variational-inference-for-topic-models-1703.01488"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-framework-for-design-for-manufacturability-1703.01499</loc><lastmod>2017-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-framework-for-design-for-manufacturability-1703.01499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-framework-for-design-for-manufacturability-1703.01499"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-machine-learning-approach-to-yield-curve-forecasting-1703.01536</loc><lastmod>2017-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-machine-learning-approach-to-yield-curve-forecasting-1703.01536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-machine-learning-approach-to-yield-curve-forecasting-1703.01536"/></url>
<url><loc>https://scifaro.com/en/abs/soft-dtw-a-differentiable-loss-function-for-time-series-1703.01541</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-dtw-a-differentiable-loss-function-for-time-series-1703.01541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-dtw-a-differentiable-loss-function-for-time-series-1703.01541"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-sample-quality-with-kernels-1703.01717</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-sample-quality-with-kernels-1703.01717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-sample-quality-with-kernels-1703.01717"/></url>
<url><loc>https://scifaro.com/en/abs/forward-and-reverse-gradient-based-hyperparameter-optimization-1703.01785</loc><lastmod>2017-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forward-and-reverse-gradient-based-hyperparameter-optimization-1703.01785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forward-and-reverse-gradient-based-hyperparameter-optimization-1703.01785"/></url>
<url><loc>https://scifaro.com/en/abs/computational-eco-systems-for-handwritten-digits-recognition-1703.01872</loc><lastmod>2017-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computational-eco-systems-for-handwritten-digits-recognition-1703.01872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computational-eco-systems-for-handwritten-digits-recognition-1703.01872"/></url>
<url><loc>https://scifaro.com/en/abs/generative-and-discriminative-text-classification-with-recurrent-neural-networks-1703.01898</loc><lastmod>2017-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-and-discriminative-text-classification-with-recurrent-neural-networks-1703.01898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-and-discriminative-text-classification-with-recurrent-neural-networks-1703.01898"/></url>
<url><loc>https://scifaro.com/en/abs/grammar-variational-autoencoder-1703.01925</loc><lastmod>2017-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grammar-variational-autoencoder-1703.01925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grammar-variational-autoencoder-1703.01925"/></url>
<url><loc>https://scifaro.com/en/abs/multiplicative-normalizing-flows-for-variational-bayesian-neural-networks-1703.01961</loc><lastmod>2017-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiplicative-normalizing-flows-for-variational-bayesian-neural-networks-1703.01961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiplicative-normalizing-flows-for-variational-bayesian-neural-networks-1703.01961"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-reduced-order-modeling-for-stochastic-partial-differential-equations-1703.01962</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-reduced-order-modeling-for-stochastic-partial-differential-equations-1703.01962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-reduced-order-modeling-for-stochastic-partial-differential-equations-1703.01962"/></url>
<url><loc>https://scifaro.com/en/abs/max-value-entropy-search-for-efficient-bayesian-optimization-1703.01968</loc><lastmod>2018-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/max-value-entropy-search-for-efficient-bayesian-optimization-1703.01968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/max-value-entropy-search-for-efficient-bayesian-optimization-1703.01968"/></url>
<url><loc>https://scifaro.com/en/abs/batched-high-dimensional-bayesian-optimization-via-structural-kernel-learning-1703.01973</loc><lastmod>2018-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batched-high-dimensional-bayesian-optimization-via-structural-kernel-learning-1703.01973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batched-high-dimensional-bayesian-optimization-via-structural-kernel-learning-1703.01973"/></url>
<url><loc>https://scifaro.com/en/abs/cheshire-an-online-algorithm-for-activity-maximization-in-social-networks-1703.02059</loc><lastmod>2017-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cheshire-an-online-algorithm-for-activity-maximization-in-social-networks-1703.02059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cheshire-an-online-algorithm-for-activity-maximization-in-social-networks-1703.02059"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-stochastic-off-policy-action-value-gradients-1703.02102</loc><lastmod>2017-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-stochastic-off-policy-action-value-gradients-1703.02102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-stochastic-off-policy-action-value-gradients-1703.02102"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-multiple-instance-learning-1703.02155</loc><lastmod>2017-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-multiple-instance-learning-1703.02155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-multiple-instance-learning-1703.02155"/></url>
<url><loc>https://scifaro.com/en/abs/indoor-localization-using-visible-light-via-fusion-of-multiple-classifiers-1703.02184</loc><lastmod>2017-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/indoor-localization-using-visible-light-via-fusion-of-multiple-classifiers-1703.02184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/indoor-localization-using-visible-light-via-fusion-of-multiple-classifiers-1703.02184"/></url>
<url><loc>https://scifaro.com/en/abs/indoor-localization-by-fusing-a-group-of-fingerprints-based-on-random-forests-1703.02185</loc><lastmod>2017-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/indoor-localization-by-fusing-a-group-of-fingerprints-based-on-random-forests-1703.02185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/indoor-localization-by-fusing-a-group-of-fingerprints-based-on-random-forests-1703.02185"/></url>
<url><loc>https://scifaro.com/en/abs/raw-waveform-based-speech-enhancement-by-fully-convolutional-networks-1703.02205</loc><lastmod>2017-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/raw-waveform-based-speech-enhancement-by-fully-convolutional-networks-1703.02205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/raw-waveform-based-speech-enhancement-by-fully-convolutional-networks-1703.02205"/></url>
<url><loc>https://scifaro.com/en/abs/stopping-gan-violence-generative-unadversarial-networks-1703.02528</loc><lastmod>2017-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stopping-gan-violence-generative-unadversarial-networks-1703.02528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stopping-gan-violence-generative-unadversarial-networks-1703.02528"/></url>
<url><loc>https://scifaro.com/en/abs/global-optimization-of-lipschitz-functions-1703.02628</loc><lastmod>2017-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-optimization-of-lipschitz-functions-1703.02628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-optimization-of-lipschitz-functions-1703.02628"/></url>
<url><loc>https://scifaro.com/en/abs/don-t-fear-the-bit-flips-optimized-coding-strategies-for-binary-classification-1703.02641</loc><lastmod>2017-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/don-t-fear-the-bit-flips-optimized-coding-strategies-for-binary-classification-1703.02641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/don-t-fear-the-bit-flips-optimized-coding-strategies-for-binary-classification-1703.02641"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-weak-submodularity-interpreting-neural-networks-on-the-fly-1703.02647</loc><lastmod>2017-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-weak-submodularity-interpreting-neural-networks-on-the-fly-1703.02647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-weak-submodularity-interpreting-neural-networks-on-the-fly-1703.02647"/></url>
<url><loc>https://scifaro.com/en/abs/polynomial-time-algorithms-for-dual-volume-sampling-1703.02674</loc><lastmod>2017-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/polynomial-time-algorithms-for-dual-volume-sampling-1703.02674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/polynomial-time-algorithms-for-dual-volume-sampling-1703.02674"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-quadratic-logistic-regression-in-sub-quadratic-time-1703.02682</loc><lastmod>2017-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-quadratic-logistic-regression-in-sub-quadratic-time-1703.02682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-quadratic-logistic-regression-in-sub-quadratic-time-1703.02682"/></url>
<url><loc>https://scifaro.com/en/abs/exact-map-inference-by-avoiding-fractional-vertices-1703.02689</loc><lastmod>2017-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-map-inference-by-avoiding-fractional-vertices-1703.02689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-map-inference-by-avoiding-fractional-vertices-1703.02689"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-sparsity-for-efficient-submodular-data-summarization-1703.02690</loc><lastmod>2017-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-sparsity-for-efficient-submodular-data-summarization-1703.02690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-sparsity-for-efficient-submodular-data-summarization-1703.02690"/></url>
<url><loc>https://scifaro.com/en/abs/on-approximation-guarantees-for-greedy-low-rank-optimization-1703.02721</loc><lastmod>2017-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-approximation-guarantees-for-greedy-low-rank-optimization-1703.02721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-approximation-guarantees-for-greedy-low-rank-optimization-1703.02721"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-greedy-feature-selection-via-weak-submodularity-1703.02723</loc><lastmod>2017-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-greedy-feature-selection-via-weak-submodularity-1703.02723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-greedy-feature-selection-via-weak-submodularity-1703.02723"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-ensemble-regression-1703.02965</loc><lastmod>2017-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-ensemble-regression-1703.02965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-ensemble-regression-1703.02965"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-graph-convolutions-for-population-based-disease-prediction-1703.03020</loc><lastmod>2017-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-graph-convolutions-for-population-based-disease-prediction-1703.03020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-graph-convolutions-for-population-based-disease-prediction-1703.03020"/></url>
<url><loc>https://scifaro.com/en/abs/compressed-sensing-using-generative-models-1703.03208</loc><lastmod>2017-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressed-sensing-using-generative-models-1703.03208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressed-sensing-using-generative-models-1703.03208"/></url>
<url><loc>https://scifaro.com/en/abs/trimmed-density-ratio-estimation-1703.03216</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trimmed-density-ratio-estimation-1703.03216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trimmed-density-ratio-estimation-1703.03216"/></url>
<url><loc>https://scifaro.com/en/abs/mlrmbo-a-modular-framework-for-model-based-optimization-of-expensive-black-box-functions-1703.03373</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mlrmbo-a-modular-framework-for-model-based-optimization-of-expensive-black-box-functions-1703.03373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mlrmbo-a-modular-framework-for-model-based-optimization-of-expensive-black-box-functions-1703.03373"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-markov-chain-monte-carlo-for-the-indian-buffet-process-1703.03457</loc><lastmod>2017-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-markov-chain-monte-carlo-for-the-indian-buffet-process-1703.03457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-markov-chain-monte-carlo-for-the-indian-buffet-process-1703.03457"/></url>
<url><loc>https://scifaro.com/en/abs/density-level-set-estimation-on-manifolds-with-dbscan-1703.03503</loc><lastmod>2017-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/density-level-set-estimation-on-manifolds-with-dbscan-1703.03503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/density-level-set-estimation-on-manifolds-with-dbscan-1703.03503"/></url>
<url><loc>https://scifaro.com/en/abs/high-snr-consistent-compressive-sensing-1703.03596</loc><lastmod>2017-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-snr-consistent-compressive-sensing-1703.03596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-snr-consistent-compressive-sensing-1703.03596"/></url>
<url><loc>https://scifaro.com/en/abs/markov-chain-lifting-and-distributed-admm-1703.03859</loc><lastmod>2017-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-chain-lifting-and-distributed-admm-1703.03859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-chain-lifting-and-distributed-admm-1703.03859"/></url>
<url><loc>https://scifaro.com/en/abs/tuning-over-relaxed-admm-1703.03863</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tuning-over-relaxed-admm-1703.03863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tuning-over-relaxed-admm-1703.03863"/></url>
<url><loc>https://scifaro.com/en/abs/evolution-strategies-as-a-scalable-alternative-to-reinforcement-learning-1703.03864</loc><lastmod>2017-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolution-strategies-as-a-scalable-alternative-to-reinforcement-learning-1703.03864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolution-strategies-as-a-scalable-alternative-to-reinforcement-learning-1703.03864"/></url>
<url><loc>https://scifaro.com/en/abs/learning-large-scale-bayesian-networks-with-the-sparsebn-package-1703.04025</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-large-scale-bayesian-networks-with-the-sparsebn-package-1703.04025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-large-scale-bayesian-networks-with-the-sparsebn-package-1703.04025"/></url>
<url><loc>https://scifaro.com/en/abs/deepsleepnet-a-model-for-automatic-sleep-stage-scoring-based-on-raw-single-channel-eeg-1703.04046</loc><lastmod>2017-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepsleepnet-a-model-for-automatic-sleep-stage-scoring-based-on-raw-single-channel-eeg-1703.04046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepsleepnet-a-model-for-automatic-sleep-stage-scoring-based-on-raw-single-channel-eeg-1703.04046"/></url>
<url><loc>https://scifaro.com/en/abs/feature-overwriting-as-a-finite-mixture-process-evidence-from-comprehension-data-1703.04081</loc><lastmod>2018-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-overwriting-as-a-finite-mixture-process-evidence-from-comprehension-data-1703.04081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-overwriting-as-a-finite-mixture-process-evidence-from-comprehension-data-1703.04081"/></url>
<url><loc>https://scifaro.com/en/abs/practical-bayesian-optimization-for-variable-cost-objectives-1703.04335</loc><lastmod>2018-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-bayesian-optimization-for-variable-cost-objectives-1703.04335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-bayesian-optimization-for-variable-cost-objectives-1703.04335"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-with-gradients-1703.04389</loc><lastmod>2018-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-with-gradients-1703.04389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-with-gradients-1703.04389"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-gaussian-and-student-t-process-regression-for-multi-output-prediction-1703.04455</loc><lastmod>2020-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-gaussian-and-student-t-process-regression-for-multi-output-prediction-1703.04455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-gaussian-and-student-t-process-regression-for-multi-output-prediction-1703.04455"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-time-series-forecasting-with-convolutional-neural-networks-1703.04691</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-time-series-forecasting-with-convolutional-neural-networks-1703.04691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-time-series-forecasting-with-convolutional-neural-networks-1703.04691"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-black-box-predictions-via-influence-functions-1703.04730</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-black-box-predictions-via-influence-functions-1703.04730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-black-box-predictions-via-influence-functions-1703.04730"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-model-for-aggregating-judgments-by-incorporating-peer-predictions-1703.04778</loc><lastmod>2017-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-model-for-aggregating-judgments-by-incorporating-peer-predictions-1703.04778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-model-for-aggregating-judgments-by-incorporating-peer-predictions-1703.04778"/></url>
<url><loc>https://scifaro.com/en/abs/classification-in-biological-networks-with-hypergraphlet-kernels-1703.04823</loc><lastmod>2017-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-in-biological-networks-with-hypergraphlet-kernels-1703.04823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-in-biological-networks-with-hypergraphlet-kernels-1703.04823"/></url>
<url><loc>https://scifaro.com/en/abs/a-random-finite-set-model-for-data-clustering-1703.04832</loc><lastmod>2017-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-random-finite-set-model-for-data-clustering-1703.04832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-random-finite-set-model-for-data-clustering-1703.04832"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-for-l1-norm-error-fitting-via-data-aggregation-1703.04864</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-for-l1-norm-error-fitting-via-data-aggregation-1703.04864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-for-l1-norm-error-fitting-via-data-aggregation-1703.04864"/></url>
<url><loc>https://scifaro.com/en/abs/tuning-free-orthogonal-matching-pursuit-1703.05080</loc><lastmod>2017-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tuning-free-orthogonal-matching-pursuit-1703.05080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tuning-free-orthogonal-matching-pursuit-1703.05080"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-unbiased-and-efficient-class-of-lsh-based-samplers-and-estimators-for-partition-function-computation-in-log-linear-models-1703.05160</loc><lastmod>2017-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-unbiased-and-efficient-class-of-lsh-based-samplers-and-estimators-for-partition-function-computation-in-log-linear-models-1703.05160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-unbiased-and-efficient-class-of-lsh-based-samplers-and-estimators-for-partition-function-computation-in-log-linear-models-1703.05160"/></url>
<url><loc>https://scifaro.com/en/abs/cost-complexity-pruning-of-random-forests-1703.05430</loc><lastmod>2017-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-complexity-pruning-of-random-forests-1703.05430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-complexity-pruning-of-random-forests-1703.05430"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-regret-bounds-for-reinforcement-learning-1703.05449</loc><lastmod>2017-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-regret-bounds-for-reinforcement-learning-1703.05449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-regret-bounds-for-reinforcement-learning-1703.05449"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-learning-for-structured-prediction-energy-networks-1703.05667</loc><lastmod>2017-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-learning-for-structured-prediction-energy-networks-1703.05667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-learning-for-structured-prediction-energy-networks-1703.05667"/></url>
<url><loc>https://scifaro.com/en/abs/adaptivity-to-noise-parameters-in-nonparametric-active-learning-1703.05841</loc><lastmod>2017-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptivity-to-noise-parameters-in-nonparametric-active-learning-1703.05841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptivity-to-noise-parameters-in-nonparametric-active-learning-1703.05841"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-and-inference-on-nonlinear-and-heterogeneous-effects-1703.05849</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-and-inference-on-nonlinear-and-heterogeneous-effects-1703.05849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-and-inference-on-nonlinear-and-heterogeneous-effects-1703.05849"/></url>
<url><loc>https://scifaro.com/en/abs/block-cur-decomposing-matrices-using-groups-of-columns-1703.06065</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/block-cur-decomposing-matrices-using-groups-of-columns-1703.06065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/block-cur-decomposing-matrices-using-groups-of-columns-1703.06065"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-relational-data-with-graph-convolutional-networks-1703.06103</loc><lastmod>2017-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-relational-data-with-graph-convolutional-networks-1703.06103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-relational-data-with-graph-convolutional-networks-1703.06103"/></url>
<url><loc>https://scifaro.com/en/abs/nonconvex-one-bit-single-label-multi-label-learning-1703.06104</loc><lastmod>2017-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonconvex-one-bit-single-label-multi-label-learning-1703.06104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonconvex-one-bit-single-label-multi-label-learning-1703.06104"/></url>
<url><loc>https://scifaro.com/en/abs/on-consistency-of-graph-based-semi-supervised-learning-1703.06177</loc><lastmod>2019-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-consistency-of-graph-based-semi-supervised-learning-1703.06177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-consistency-of-graph-based-semi-supervised-learning-1703.06177"/></url>
<url><loc>https://scifaro.com/en/abs/deciding-how-to-decide-dynamic-routing-in-artificial-neural-networks-1703.06217</loc><lastmod>2017-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deciding-how-to-decide-dynamic-routing-in-artificial-neural-networks-1703.06217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deciding-how-to-decide-dynamic-routing-in-artificial-neural-networks-1703.06217"/></url>
<url><loc>https://scifaro.com/en/abs/multi-fidelity-bayesian-optimisation-with-continuous-approximations-1703.06240</loc><lastmod>2017-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-fidelity-bayesian-optimisation-with-continuous-approximations-1703.06240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-fidelity-bayesian-optimisation-with-continuous-approximations-1703.06240"/></url>
<url><loc>https://scifaro.com/en/abs/spectrum-estimation-from-a-few-entries-1703.06327</loc><lastmod>2017-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectrum-estimation-from-a-few-entries-1703.06327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectrum-estimation-from-a-few-entries-1703.06327"/></url>
<url><loc>https://scifaro.com/en/abs/practical-coreset-constructions-for-machine-learning-1703.06476</loc><lastmod>2017-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-coreset-constructions-for-machine-learning-1703.06476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-coreset-constructions-for-machine-learning-1703.06476"/></url>
<url><loc>https://scifaro.com/en/abs/universal-consistency-and-robustness-of-localized-support-vector-machines-1703.06528</loc><lastmod>2017-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-consistency-and-robustness-of-localized-support-vector-machines-1703.06528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-consistency-and-robustness-of-localized-support-vector-machines-1703.06528"/></url>
<url><loc>https://scifaro.com/en/abs/a-controlled-set-up-experiment-to-establish-personalized-baselines-for-real-life-emotion-recognition-1703.06537</loc><lastmod>2017-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-controlled-set-up-experiment-to-establish-personalized-baselines-for-real-life-emotion-recognition-1703.06537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-controlled-set-up-experiment-to-establish-personalized-baselines-for-real-life-emotion-recognition-1703.06537"/></url>
<url><loc>https://scifaro.com/en/abs/copula-index-for-detecting-dependence-and-monotonicity-between-stochastic-signals-1703.06686</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/copula-index-for-detecting-dependence-and-monotonicity-between-stochastic-signals-1703.06686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/copula-index-for-detecting-dependence-and-monotonicity-between-stochastic-signals-1703.06686"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-variational-bayesian-neural-network-ensembles-for-outlier-detection-1703.06749</loc><lastmod>2017-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-variational-bayesian-neural-network-ensembles-for-outlier-detection-1703.06749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-variational-bayesian-neural-network-ensembles-for-outlier-detection-1703.06749"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-fairness-1703.06856</loc><lastmod>2018-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-fairness-1703.06856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-fairness-1703.06856"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-backpropagation-neural-networks-to-both-stages-of-fingerprinting-based-wips-1703.06912</loc><lastmod>2017-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-backpropagation-neural-networks-to-both-stages-of-fingerprinting-based-wips-1703.06912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-backpropagation-neural-networks-to-both-stages-of-fingerprinting-based-wips-1703.06912"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-generate-samples-from-noise-through-infusion-training-1703.06975</loc><lastmod>2017-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-generate-samples-from-noise-through-infusion-training-1703.06975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-generate-samples-from-noise-through-infusion-training-1703.06975"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-primal-dual-coordinate-method-with-non-uniform-sampling-based-on-optimality-violations-1703.07056</loc><lastmod>2017-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-primal-dual-coordinate-method-with-non-uniform-sampling-based-on-optimality-violations-1703.07056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-primal-dual-coordinate-method-with-non-uniform-sampling-based-on-optimality-violations-1703.07056"/></url>
<url><loc>https://scifaro.com/en/abs/on-parameters-transformations-for-emulating-sparse-priors-using-variational-laplace-inference-1703.07168</loc><lastmod>2017-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-parameters-transformations-for-emulating-sparse-priors-using-variational-laplace-inference-1703.07168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-parameters-transformations-for-emulating-sparse-priors-using-variational-laplace-inference-1703.07168"/></url>
<url><loc>https://scifaro.com/en/abs/overcoming-model-simplifications-when-quantifying-predictive-uncertainty-1703.07198</loc><lastmod>2017-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overcoming-model-simplifications-when-quantifying-predictive-uncertainty-1703.07198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overcoming-model-simplifications-when-quantifying-predictive-uncertainty-1703.07198"/></url>
<url><loc>https://scifaro.com/en/abs/from-safe-screening-rules-to-working-sets-for-faster-lasso-type-solvers-1703.07285</loc><lastmod>2017-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-safe-screening-rules-to-working-sets-for-faster-lasso-type-solvers-1703.07285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-safe-screening-rules-to-working-sets-for-faster-lasso-type-solvers-1703.07285"/></url>
<url><loc>https://scifaro.com/en/abs/logitboost-autoregressive-networks-1703.07506</loc><lastmod>2017-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logitboost-autoregressive-networks-1703.07506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logitboost-autoregressive-networks-1703.07506"/></url>
<url><loc>https://scifaro.com/en/abs/testing-and-learning-on-distributions-with-symmetric-noise-invariance-1703.07596</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-and-learning-on-distributions-with-symmetric-noise-invariance-1703.07596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-and-learning-on-distributions-with-symmetric-noise-invariance-1703.07596"/></url>
<url><loc>https://scifaro.com/en/abs/deep-exploration-via-randomized-value-functions-1703.07608</loc><lastmod>2019-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-exploration-via-randomized-value-functions-1703.07608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-exploration-via-randomized-value-functions-1703.07608"/></url>
<url><loc>https://scifaro.com/en/abs/sample-and-computationally-efficient-learning-algorithms-under-s-concave-distributions-1703.07758</loc><lastmod>2018-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-and-computationally-efficient-learning-algorithms-under-s-concave-distributions-1703.07758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-and-computationally-efficient-learning-algorithms-under-s-concave-distributions-1703.07758"/></url>
<url><loc>https://scifaro.com/en/abs/multitask-learning-and-benchmarking-with-clinical-time-series-data-1703.07771</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multitask-learning-and-benchmarking-with-clinical-time-series-data-1703.07771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multitask-learning-and-benchmarking-with-clinical-time-series-data-1703.07771"/></url>
<url><loc>https://scifaro.com/en/abs/robust-kronecker-decomposable-component-analysis-for-low-rank-modeling-1703.07886</loc><lastmod>2017-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-kronecker-decomposable-component-analysis-for-low-rank-modeling-1703.07886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-kronecker-decomposable-component-analysis-for-low-rank-modeling-1703.07886"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-exploratory-attacks-on-black-box-classifiers-in-adversarial-domains-1703.07909</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-exploratory-attacks-on-black-box-classifiers-in-adversarial-domains-1703.07909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-exploratory-attacks-on-black-box-classifiers-in-adversarial-domains-1703.07909"/></url>
<url><loc>https://scifaro.com/en/abs/perspective-energy-landscapes-for-machine-learning-1703.07915</loc><lastmod>2017-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perspective-energy-landscapes-for-machine-learning-1703.07915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perspective-energy-landscapes-for-machine-learning-1703.07915"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-of-gaussian-process-arc-lengths-1703.08031</loc><lastmod>2017-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-of-gaussian-process-arc-lengths-1703.08031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-of-gaussian-process-arc-lengths-1703.08031"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-bernoulli-embeddings-for-language-evolution-1703.08052</loc><lastmod>2017-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-bernoulli-embeddings-for-language-evolution-1703.08052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-bernoulli-embeddings-for-language-evolution-1703.08052"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-of-maximum-correntropy-estimation-against-large-outliers-1703.08065</loc><lastmod>2017-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-of-maximum-correntropy-estimation-against-large-outliers-1703.08065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-of-maximum-correntropy-estimation-against-large-outliers-1703.08065"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-crowdsourcing-to-graphon-estimation-statistically-1703.08085</loc><lastmod>2019-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-crowdsourcing-to-graphon-estimation-statistically-1703.08085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-crowdsourcing-to-graphon-estimation-statistically-1703.08085"/></url>
<url><loc>https://scifaro.com/en/abs/training-gaussian-mixture-models-at-scale-via-coresets-1703.08110</loc><lastmod>2018-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-gaussian-mixture-models-at-scale-via-coresets-1703.08110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-gaussian-mixture-models-at-scale-via-coresets-1703.08110"/></url>
<url><loc>https://scifaro.com/en/abs/the-dependence-of-machine-learning-on-electronic-medical-record-quality-1703.08251</loc><lastmod>2017-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-dependence-of-machine-learning-on-electronic-medical-record-quality-1703.08251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-dependence-of-machine-learning-on-electronic-medical-record-quality-1703.08251"/></url>
<url><loc>https://scifaro.com/en/abs/data-mining-textual-responses-to-uncover-misconception-patterns-1703.08544</loc><lastmod>2017-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-mining-textual-responses-to-uncover-misconception-patterns-1703.08544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-mining-textual-responses-to-uncover-misconception-patterns-1703.08544"/></url>
<url><loc>https://scifaro.com/en/abs/binarsity-a-penalization-for-one-hot-encoded-features-in-linear-supervised-learning-1703.08619</loc><lastmod>2019-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binarsity-a-penalization-for-one-hot-encoded-features-in-linear-supervised-learning-1703.08619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binarsity-a-penalization-for-one-hot-encoded-features-in-linear-supervised-learning-1703.08619"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-predict-a-fast-re-constructive-method-to-generate-multimodal-embeddings-1703.08737</loc><lastmod>2017-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-predict-a-fast-re-constructive-method-to-generate-multimodal-embeddings-1703.08737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-predict-a-fast-re-constructive-method-to-generate-multimodal-embeddings-1703.08737"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-regression-with-gross-errors-on-manifold-valued-data-1703.08772</loc><lastmod>2017-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-regression-with-gross-errors-on-manifold-valued-data-1703.08772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-regression-with-gross-errors-on-manifold-valued-data-1703.08772"/></url>
<url><loc>https://scifaro.com/en/abs/a-scale-free-algorithm-for-stochastic-bandits-with-bounded-kurtosis-1703.08937</loc><lastmod>2017-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-scale-free-algorithm-for-stochastic-bandits-with-bounded-kurtosis-1703.08937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-scale-free-algorithm-for-stochastic-bandits-with-bounded-kurtosis-1703.08937"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-for-linear-quadratic-control-problems-1703.08972</loc><lastmod>2017-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-for-linear-quadratic-control-problems-1703.08972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-for-linear-quadratic-control-problems-1703.08972"/></url>
<url><loc>https://scifaro.com/en/abs/multilabel-classification-with-r-package-mlr-1703.08991</loc><lastmod>2023-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilabel-classification-with-r-package-mlr-1703.08991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilabel-classification-with-r-package-mlr-1703.08991"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-multi-output-gaussian-processes-for-medical-time-series-prediction-1703.09112</loc><lastmod>2018-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-multi-output-gaussian-processes-for-medical-time-series-prediction-1703.09112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-multi-output-gaussian-processes-for-medical-time-series-prediction-1703.09112"/></url>
<url><loc>https://scifaro.com/en/abs/pwls-ultra-an-efficient-clustering-and-learning-based-approach-for-low-dose-3d-ct-image-reconstruction-1703.09165</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pwls-ultra-an-efficient-clustering-and-learning-based-approach-for-low-dose-3d-ct-image-reconstruction-1703.09165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pwls-ultra-an-efficient-clustering-and-learning-based-approach-for-low-dose-3d-ct-image-reconstruction-1703.09165"/></url>
<url><loc>https://scifaro.com/en/abs/sticking-the-landing-simple-lower-variance-gradient-estimators-for-variational-inference-1703.09194</loc><lastmod>2017-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sticking-the-landing-simple-lower-variance-gradient-estimators-for-variational-inference-1703.09194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sticking-the-landing-simple-lower-variance-gradient-estimators-for-variational-inference-1703.09194"/></url>
<url><loc>https://scifaro.com/en/abs/biologically-inspired-protection-of-deep-networks-from-adversarial-attacks-1703.09202</loc><lastmod>2017-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biologically-inspired-protection-of-deep-networks-from-adversarial-attacks-1703.09202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biologically-inspired-protection-of-deep-networks-from-adversarial-attacks-1703.09202"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-in-criminal-justice-risk-assessments-the-state-of-the-art-1703.09207</loc><lastmod>2025-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-in-criminal-justice-risk-assessments-the-state-of-the-art-1703.09207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-in-criminal-justice-risk-assessments-the-state-of-the-art-1703.09207"/></url>
<url><loc>https://scifaro.com/en/abs/solving-non-parametric-inverse-problem-in-continuous-markov-random-field-using-loopy-belief-propagation-1703.09397</loc><lastmod>2017-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-non-parametric-inverse-problem-in-continuous-markov-random-field-using-loopy-belief-propagation-1703.09397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-non-parametric-inverse-problem-in-continuous-markov-random-field-using-loopy-belief-propagation-1703.09397"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-latent-covariance-structures-for-multiple-time-series-1703.09528</loc><lastmod>2019-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-latent-covariance-structures-for-multiple-time-series-1703.09528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-latent-covariance-structures-for-multiple-time-series-1703.09528"/></url>
<url><loc>https://scifaro.com/en/abs/algebraic-variety-models-for-high-rank-matrix-completion-1703.09631</loc><lastmod>2017-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algebraic-variety-models-for-high-rank-matrix-completion-1703.09631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algebraic-variety-models-for-high-rank-matrix-completion-1703.09631"/></url>
<url><loc>https://scifaro.com/en/abs/unifying-the-stochastic-spectral-descent-for-restricted-boltzmann-machines-with-bernoulli-or-gaussian-inputs-1703.09766</loc><lastmod>2017-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unifying-the-stochastic-spectral-descent-for-restricted-boltzmann-machines-with-bernoulli-or-gaussian-inputs-1703.09766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unifying-the-stochastic-spectral-descent-for-restricted-boltzmann-machines-with-bernoulli-or-gaussian-inputs-1703.09766"/></url>
<url><loc>https://scifaro.com/en/abs/particle-filtering-for-plca-model-with-application-to-music-transcription-1703.09772</loc><lastmod>2017-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-filtering-for-plca-model-with-application-to-music-transcription-1703.09772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-filtering-for-plca-model-with-application-to-music-transcription-1703.09772"/></url>
<url><loc>https://scifaro.com/en/abs/deep-scattering-transform-applied-to-note-onset-detection-and-instrument-recognition-1703.09775</loc><lastmod>2017-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-scattering-transform-applied-to-note-onset-detection-and-instrument-recognition-1703.09775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-scattering-transform-applied-to-note-onset-detection-and-instrument-recognition-1703.09775"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-based-regularization-parameter-selection-for-problems-with-non-smooth-penalty-functions-1703.09813</loc><lastmod>2017-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-based-regularization-parameter-selection-for-problems-with-non-smooth-penalty-functions-1703.09813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-based-regularization-parameter-selection-for-problems-with-non-smooth-penalty-functions-1703.09813"/></url>
<url><loc>https://scifaro.com/en/abs/marginal-likelihood-based-model-comparison-in-fuzzy-bayesian-learning-1703.09956</loc><lastmod>2017-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marginal-likelihood-based-model-comparison-in-fuzzy-bayesian-learning-1703.09956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marginal-likelihood-based-model-comparison-in-fuzzy-bayesian-learning-1703.09956"/></url>
<url><loc>https://scifaro.com/en/abs/improving-spectral-clustering-using-the-asymptotic-value-of-the-normalised-cut-1703.09975</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-spectral-clustering-using-the-asymptotic-value-of-the-normalised-cut-1703.09975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-spectral-clustering-using-the-asymptotic-value-of-the-normalised-cut-1703.09975"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-policies-for-observing-time-series-and-related-restless-bandit-problems-1703.10010</loc><lastmod>2017-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-policies-for-observing-time-series-and-related-restless-bandit-problems-1703.10010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-policies-for-observing-time-series-and-related-restless-bandit-problems-1703.10010"/></url>
<url><loc>https://scifaro.com/en/abs/numerical-gaussian-processes-for-time-dependent-and-non-linear-partial-differential-equations-1703.10230</loc><lastmod>2017-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/numerical-gaussian-processes-for-time-dependent-and-non-linear-partial-differential-equations-1703.10230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/numerical-gaussian-processes-for-time-dependent-and-non-linear-partial-differential-equations-1703.10230"/></url>
<url><loc>https://scifaro.com/en/abs/on-bayesian-exponentially-embedded-family-for-model-order-selection-1703.10513</loc><lastmod>2018-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-bayesian-exponentially-embedded-family-for-model-order-selection-1703.10513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-bayesian-exponentially-embedded-family-for-model-order-selection-1703.10513"/></url>
<url><loc>https://scifaro.com/en/abs/the-informativeness-of-k-means-for-learning-mixture-models-1703.10534</loc><lastmod>2022-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-informativeness-of-k-means-for-learning-mixture-models-1703.10534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-informativeness-of-k-means-for-learning-mixture-models-1703.10534"/></url>
<url><loc>https://scifaro.com/en/abs/diving-into-the-shallows-a-computational-perspective-on-large-scale-shallow-learning-1703.10622</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diving-into-the-shallows-a-computational-perspective-on-large-scale-shallow-learning-1703.10622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diving-into-the-shallows-a-computational-perspective-on-large-scale-shallow-learning-1703.10622"/></url>
<url><loc>https://scifaro.com/en/abs/reliable-decision-support-using-counterfactual-models-1703.10651</loc><lastmod>2018-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliable-decision-support-using-counterfactual-models-1703.10651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliable-decision-support-using-counterfactual-models-1703.10651"/></url>
<url><loc>https://scifaro.com/en/abs/intraoperative-margin-assessment-of-human-breast-tissue-in-optical-coherence-tomography-images-using-deep-neural-networks-1703.10827</loc><lastmod>2017-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intraoperative-margin-assessment-of-human-breast-tissue-in-optical-coherence-tomography-images-using-deep-neural-networks-1703.10827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intraoperative-margin-assessment-of-human-breast-tissue-in-optical-coherence-tomography-images-using-deep-neural-networks-1703.10827"/></url>
<url><loc>https://scifaro.com/en/abs/bi-class-classification-of-humpback-whale-sound-units-against-complex-background-noise-with-deep-convolution-neural-network-1703.10887</loc><lastmod>2017-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bi-class-classification-of-humpback-whale-sound-units-against-complex-background-noise-with-deep-convolution-neural-network-1703.10887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bi-class-classification-of-humpback-whale-sound-units-against-complex-background-noise-with-deep-convolution-neural-network-1703.10887"/></url>
<url><loc>https://scifaro.com/en/abs/the-risk-of-machine-learning-1703.10935</loc><lastmod>2017-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-risk-of-machine-learning-1703.10935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-risk-of-machine-learning-1703.10935"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-infectious-disease-epidemics-via-weighted-density-ensembles-1703.10936</loc><lastmod>2018-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-infectious-disease-epidemics-via-weighted-density-ensembles-1703.10936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-infectious-disease-epidemics-via-weighted-density-ensembles-1703.10936"/></url>
<url><loc>https://scifaro.com/en/abs/catalyst-acceleration-for-gradient-based-non-convex-optimization-1703.10993</loc><lastmod>2019-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/catalyst-acceleration-for-gradient-based-non-convex-optimization-1703.10993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/catalyst-acceleration-for-gradient-based-non-convex-optimization-1703.10993"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-reliable-detection-of-concept-drift-from-streaming-unlabeled-data-1704.00023</loc><lastmod>2017-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-reliable-detection-of-concept-drift-from-streaming-unlabeled-data-1704.00023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-reliable-detection-of-concept-drift-from-streaming-unlabeled-data-1704.00023"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-gradients-and-hessians-in-bayesian-optimization-and-bayesian-quadrature-1704.00060</loc><lastmod>2018-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-gradients-and-hessians-in-bayesian-optimization-and-bayesian-quadrature-1704.00060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-gradients-and-hessians-in-bayesian-optimization-and-bayesian-quadrature-1704.00060"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-networks-with-common-organizational-principles-1704.00387</loc><lastmod>2017-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-networks-with-common-organizational-principles-1704.00387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-networks-with-common-organizational-principles-1704.00387"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-acquisition-rules-for-model-based-approximate-bayesian-computation-1704.00520</loc><lastmod>2018-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-acquisition-rules-for-model-based-approximate-bayesian-computation-1704.00520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-acquisition-rules-for-model-based-approximate-bayesian-computation-1704.00520"/></url>
<url><loc>https://scifaro.com/en/abs/dictionary-based-tensor-canonical-polyadic-decomposition-1704.00541</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dictionary-based-tensor-canonical-polyadic-decomposition-1704.00541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dictionary-based-tensor-canonical-polyadic-decomposition-1704.00541"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-measure-of-conditional-dependence-1704.00607</loc><lastmod>2017-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-measure-of-conditional-dependence-1704.00607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-measure-of-conditional-dependence-1704.00607"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-generation-with-cluster-aware-generative-models-1704.00637</loc><lastmod>2017-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-generation-with-cluster-aware-generative-models-1704.00637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-generation-with-cluster-aware-generative-models-1704.00637"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-insights-into-support-vector-machine-behavior-using-the-kkt-conditions-1704.00767</loc><lastmod>2018-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-insights-into-support-vector-machine-behavior-using-the-kkt-conditions-1704.00767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-insights-into-support-vector-machine-behavior-using-the-kkt-conditions-1704.00767"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-study-of-counterfactual-estimators-1704.00773</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-study-of-counterfactual-estimators-1704.00773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-study-of-counterfactual-estimators-1704.00773"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-cluster-kernel-for-learning-similarities-between-multivariate-time-series-with-missing-data-1704.00794</loc><lastmod>2017-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-cluster-kernel-for-learning-similarities-between-multivariate-time-series-with-missing-data-1704.00794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-cluster-kernel-for-learning-similarities-between-multivariate-time-series-with-missing-data-1704.00794"/></url>
<url><loc>https://scifaro.com/en/abs/correcting-boundary-over-exploration-deficiencies-in-bayesian-optimization-with-virtual-derivative-sign-observations-1704.00963</loc><lastmod>2018-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correcting-boundary-over-exploration-deficiencies-in-bayesian-optimization-with-virtual-derivative-sign-observations-1704.00963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correcting-boundary-over-exploration-deficiencies-in-bayesian-optimization-with-virtual-derivative-sign-observations-1704.00963"/></url>
<url><loc>https://scifaro.com/en/abs/learning-approximately-objective-priors-1704.01168</loc><lastmod>2017-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-approximately-objective-priors-1704.01168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-approximately-objective-priors-1704.01168"/></url>
<url><loc>https://scifaro.com/en/abs/on-generalization-and-regularization-in-deep-learning-1704.01312</loc><lastmod>2017-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-generalization-and-regularization-in-deep-learning-1704.01312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-generalization-and-regularization-in-deep-learning-1704.01312"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-construction-of-probabilistic-newton-type-algorithms-1704.01382</loc><lastmod>2017-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-construction-of-probabilistic-newton-type-algorithms-1704.01382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-construction-of-probabilistic-newton-type-algorithms-1704.01382"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-confounding-in-multivariate-linear-models-via-spectral-analysis-1704.01430</loc><lastmod>2017-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-confounding-in-multivariate-linear-models-via-spectral-analysis-1704.01430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-confounding-in-multivariate-linear-models-via-spectral-analysis-1704.01430"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-of-log-determinants-1704.01445</loc><lastmod>2017-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-of-log-determinants-1704.01445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-of-log-determinants-1704.01445"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-based-nearest-neighbor-search-1704.01460</loc><lastmod>2017-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-based-nearest-neighbor-search-1704.01460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-based-nearest-neighbor-search-1704.01460"/></url>
<url><loc>https://scifaro.com/en/abs/comment-on-biologically-inspired-protection-of-deep-networks-from-adversarial-attacks-1704.01547</loc><lastmod>2017-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comment-on-biologically-inspired-protection-of-deep-networks-from-adversarial-attacks-1704.01547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comment-on-biologically-inspired-protection-of-deep-networks-from-adversarial-attacks-1704.01547"/></url>
<url><loc>https://scifaro.com/en/abs/the-relative-performance-of-ensemble-methods-with-deep-convolutional-neural-networks-for-image-classification-1704.01664</loc><lastmod>2017-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-relative-performance-of-ensemble-methods-with-deep-convolutional-neural-networks-for-image-classification-1704.01664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-relative-performance-of-ensemble-methods-with-deep-convolutional-neural-networks-for-image-classification-1704.01664"/></url>
<url><loc>https://scifaro.com/en/abs/learning-certifiably-optimal-rule-lists-for-categorical-data-1704.01701</loc><lastmod>2018-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-certifiably-optimal-rule-lists-for-categorical-data-1704.01701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-certifiably-optimal-rule-lists-for-categorical-data-1704.01701"/></url>
<url><loc>https://scifaro.com/en/abs/robust-causal-estimation-in-the-large-sample-limit-without-strict-faithfulness-1704.01864</loc><lastmod>2018-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-causal-estimation-in-the-large-sample-limit-without-strict-faithfulness-1704.01864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-causal-estimation-in-the-large-sample-limit-without-strict-faithfulness-1704.01864"/></url>
<url><loc>https://scifaro.com/en/abs/massive-data-clustering-in-moderate-dimensions-from-the-dual-spaces-of-observation-and-attribute-data-clouds-1704.01871</loc><lastmod>2017-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/massive-data-clustering-in-moderate-dimensions-from-the-dual-spaces-of-observation-and-attribute-data-clouds-1704.01871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/massive-data-clustering-in-moderate-dimensions-from-the-dual-spaces-of-observation-and-attribute-data-clouds-1704.01871"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-statistical-efficiency-of-compositional-nonparametric-prediction-1704.01896</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-statistical-efficiency-of-compositional-nonparametric-prediction-1704.01896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-statistical-efficiency-of-compositional-nonparametric-prediction-1704.01896"/></url>
<url><loc>https://scifaro.com/en/abs/dimm-sc-a-dirichlet-mixture-model-for-clustering-droplet-based-single-cell-transcriptomic-data-1704.02007</loc><lastmod>2017-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimm-sc-a-dirichlet-mixture-model-for-clustering-droplet-based-single-cell-transcriptomic-data-1704.02007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimm-sc-a-dirichlet-mixture-model-for-clustering-droplet-based-single-cell-transcriptomic-data-1704.02007"/></url>
<url><loc>https://scifaro.com/en/abs/treatment-response-models-for-counterfactual-reasoning-with-continuous-time-continuous-valued-interventions-1704.02038</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/treatment-response-models-for-counterfactual-reasoning-with-continuous-time-continuous-valued-interventions-1704.02038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/treatment-response-models-for-counterfactual-reasoning-with-continuous-time-continuous-valued-interventions-1704.02038"/></url>
<url><loc>https://scifaro.com/en/abs/angle-based-joint-and-individual-variation-explained-1704.02060</loc><lastmod>2018-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/angle-based-joint-and-individual-variation-explained-1704.02060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/angle-based-joint-and-individual-variation-explained-1704.02060"/></url>
<url><loc>https://scifaro.com/en/abs/when-is-network-lasso-accurate-1704.02107</loc><lastmod>2017-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-is-network-lasso-accurate-1704.02107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-is-network-lasso-accurate-1704.02107"/></url>
<url><loc>https://scifaro.com/en/abs/locally-adapted-convolution-based-super-resolution-of-irregularly-sampled-ocean-remote-sensing-data-1704.02162</loc><lastmod>2017-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-adapted-convolution-based-super-resolution-of-irregularly-sampled-ocean-remote-sensing-data-1704.02162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-adapted-convolution-based-super-resolution-of-irregularly-sampled-ocean-remote-sensing-data-1704.02162"/></url>
<url><loc>https://scifaro.com/en/abs/a-brief-introduction-to-the-temporal-group-lasso-and-its-potential-applications-in-healthcare-1704.02370</loc><lastmod>2017-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-brief-introduction-to-the-temporal-group-lasso-and-its-potential-applications-in-healthcare-1704.02370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-brief-introduction-to-the-temporal-group-lasso-and-its-potential-applications-in-healthcare-1704.02370"/></url>
<url><loc>https://scifaro.com/en/abs/interactive-graphics-for-visually-diagnosing-forest-classifiers-in-r-1704.02502</loc><lastmod>2026-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interactive-graphics-for-visually-diagnosing-forest-classifiers-in-r-1704.02502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interactive-graphics-for-visually-diagnosing-forest-classifiers-in-r-1704.02502"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-framework-for-autonomous-driving-1704.02532</loc><lastmod>2017-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-framework-for-autonomous-driving-1704.02532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-framework-for-autonomous-driving-1704.02532"/></url>
<url><loc>https://scifaro.com/en/abs/noisy-tensor-completion-for-tensors-with-a-sparse-canonical-polyadic-factor-1704.02534</loc><lastmod>2017-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisy-tensor-completion-for-tensors-with-a-sparse-canonical-polyadic-factor-1704.02534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisy-tensor-completion-for-tensors-with-a-sparse-canonical-polyadic-factor-1704.02534"/></url>
<url><loc>https://scifaro.com/en/abs/strictly-proper-kernel-scoring-rules-and-divergences-with-an-application-to-kernel-two-sample-hypothesis-testing-1704.02578</loc><lastmod>2017-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strictly-proper-kernel-scoring-rules-and-divergences-with-an-application-to-kernel-two-sample-hypothesis-testing-1704.02578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strictly-proper-kernel-scoring-rules-and-divergences-with-an-application-to-kernel-two-sample-hypothesis-testing-1704.02578"/></url>
<url><loc>https://scifaro.com/en/abs/word-embeddings-via-tensor-factorization-1704.02686</loc><lastmod>2017-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/word-embeddings-via-tensor-factorization-1704.02686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/word-embeddings-via-tensor-factorization-1704.02686"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-additional-knowledge-into-estimation-of-graphical-models-1704.02739</loc><lastmod>2017-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-additional-knowledge-into-estimation-of-graphical-models-1704.02739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-additional-knowledge-into-estimation-of-graphical-models-1704.02739"/></url>
<url><loc>https://scifaro.com/en/abs/integral-transforms-from-finite-data-an-application-of-gaussian-process-regression-to-fourier-analysis-1704.02828</loc><lastmod>2017-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integral-transforms-from-finite-data-an-application-of-gaussian-process-regression-to-fourier-analysis-1704.02828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integral-transforms-from-finite-data-an-application-of-gaussian-process-regression-to-fourier-analysis-1704.02828"/></url>
<url><loc>https://scifaro.com/en/abs/reinterpreting-importance-weighted-autoencoders-1704.02916</loc><lastmod>2017-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinterpreting-importance-weighted-autoencoders-1704.02916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinterpreting-importance-weighted-autoencoders-1704.02916"/></url>
<url><loc>https://scifaro.com/en/abs/parametric-gaussian-process-regression-for-big-data-1704.03144</loc><lastmod>2017-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parametric-gaussian-process-regression-for-big-data-1704.03144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parametric-gaussian-process-regression-for-big-data-1704.03144"/></url>
<url><loc>https://scifaro.com/en/abs/optimized-data-pre-processing-for-discrimination-prevention-1704.03354</loc><lastmod>2017-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimized-data-pre-processing-for-discrimination-prevention-1704.03354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimized-data-pre-processing-for-discrimination-prevention-1704.03354"/></url>
<url><loc>https://scifaro.com/en/abs/the-space-of-transferable-adversarial-examples-1704.03453</loc><lastmod>2017-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-space-of-transferable-adversarial-examples-1704.03453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-space-of-transferable-adversarial-examples-1704.03453"/></url>
<url><loc>https://scifaro.com/en/abs/p-olya-urn-latent-dirichlet-allocation-a-doubly-sparse-massively-parallel-sampler-1704.03581</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/p-olya-urn-latent-dirichlet-allocation-a-doubly-sparse-massively-parallel-sampler-1704.03581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/p-olya-urn-latent-dirichlet-allocation-a-doubly-sparse-massively-parallel-sampler-1704.03581"/></url>
<url><loc>https://scifaro.com/en/abs/joint-semi-supervised-rss-dimensionality-reduction-and-fingerprint-based-algorithm-for-indoor-localization-1704.03639</loc><lastmod>2017-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-semi-supervised-rss-dimensionality-reduction-and-fingerprint-based-algorithm-for-indoor-localization-1704.03639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-semi-supervised-rss-dimensionality-reduction-and-fingerprint-based-algorithm-for-indoor-localization-1704.03639"/></url>
<url><loc>https://scifaro.com/en/abs/preferential-bayesian-optimization-1704.03651</loc><lastmod>2017-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preferential-bayesian-optimization-1704.03651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preferential-bayesian-optimization-1704.03651"/></url>
<url><loc>https://scifaro.com/en/abs/investigation-on-the-use-of-hidden-markov-models-in-automatic-transcription-of-music-1704.03711</loc><lastmod>2017-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigation-on-the-use-of-hidden-markov-models-in-automatic-transcription-of-music-1704.03711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigation-on-the-use-of-hidden-markov-models-in-automatic-transcription-of-music-1704.03711"/></url>
<url><loc>https://scifaro.com/en/abs/deep-fext-deep-feature-extraction-for-vessel-segmentation-and-centerline-prediction-1704.03743</loc><lastmod>2018-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-fext-deep-feature-extraction-for-vessel-segmentation-and-centerline-prediction-1704.03743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-fext-deep-feature-extraction-for-vessel-segmentation-and-centerline-prediction-1704.03743"/></url>
<url><loc>https://scifaro.com/en/abs/a-proof-of-orthogonal-double-machine-learning-with-z-estimators-1704.03754</loc><lastmod>2017-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-proof-of-orthogonal-double-machine-learning-with-z-estimators-1704.03754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-proof-of-orthogonal-double-machine-learning-with-z-estimators-1704.03754"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-uniform-priors-in-bayesian-network-structure-learning-1704.03942</loc><lastmod>2017-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-uniform-priors-in-bayesian-network-structure-learning-1704.03942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-uniform-priors-in-bayesian-network-structure-learning-1704.03942"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-effects-of-batch-and-weight-normalization-in-generative-adversarial-networks-1704.03971</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-effects-of-batch-and-weight-normalization-in-generative-adversarial-networks-1704.03971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-effects-of-batch-and-weight-normalization-in-generative-adversarial-networks-1704.03971"/></url>
<url><loc>https://scifaro.com/en/abs/virtual-adversarial-training-a-regularization-method-for-supervised-and-semi-supervised-learning-1704.03976</loc><lastmod>2018-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/virtual-adversarial-training-a-regularization-method-for-supervised-and-semi-supervised-learning-1704.03976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/virtual-adversarial-training-a-regularization-method-for-supervised-and-semi-supervised-learning-1704.03976"/></url>
<url><loc>https://scifaro.com/en/abs/infinite-sparse-structured-factor-analysis-1704.04031</loc><lastmod>2017-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infinite-sparse-structured-factor-analysis-1704.04031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infinite-sparse-structured-factor-analysis-1704.04031"/></url>
<url><loc>https://scifaro.com/en/abs/fashion-conversation-data-on-instagram-1704.04137</loc><lastmod>2017-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fashion-conversation-data-on-instagram-1704.04137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fashion-conversation-data-on-instagram-1704.04137"/></url>
<url><loc>https://scifaro.com/en/abs/projection-free-rank-drop-steps-1704.04285</loc><lastmod>2017-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projection-free-rank-drop-steps-1704.04285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projection-free-rank-drop-steps-1704.04285"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-descent-as-approximate-bayesian-inference-1704.04289</loc><lastmod>2018-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-descent-as-approximate-bayesian-inference-1704.04289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-descent-as-approximate-bayesian-inference-1704.04289"/></url>
<url><loc>https://scifaro.com/en/abs/non-parametric-estimation-of-stochastic-differential-equations-with-sparse-gaussian-processes-1704.04375</loc><lastmod>2017-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-parametric-estimation-of-stochastic-differential-equations-with-sparse-gaussian-processes-1704.04375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-parametric-estimation-of-stochastic-differential-equations-with-sparse-gaussian-processes-1704.04375"/></url>
<url><loc>https://scifaro.com/en/abs/graphical-models-an-extension-to-random-graphs-trees-and-other-objects-1704.04478</loc><lastmod>2017-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphical-models-an-extension-to-random-graphs-trees-and-other-objects-1704.04478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphical-models-an-extension-to-random-graphs-trees-and-other-objects-1704.04478"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-parallel-empirical-variance-guided-algorithms-for-the-thresholding-bandit-problem-1704.04567</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-parallel-empirical-variance-guided-algorithms-for-the-thresholding-bandit-problem-1704.04567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-parallel-empirical-variance-guided-algorithms-for-the-thresholding-bandit-problem-1704.04567"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-and-the-future-of-realism-1704.04688</loc><lastmod>2017-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-and-the-future-of-realism-1704.04688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-and-the-future-of-realism-1704.04688"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-regression-and-multi-class-models-for-acute-oral-toxicity-prediction-with-automatic-chemical-feature-extraction-1704.04718</loc><lastmod>2017-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-regression-and-multi-class-models-for-acute-oral-toxicity-prediction-with-automatic-chemical-feature-extraction-1704.04718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-regression-and-multi-class-models-for-acute-oral-toxicity-prediction-with-automatic-chemical-feature-extraction-1704.04718"/></url>
<url><loc>https://scifaro.com/en/abs/random-walk-sampling-for-big-data-over-networks-1704.04799</loc><lastmod>2017-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-walk-sampling-for-big-data-over-networks-1704.04799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-walk-sampling-for-big-data-over-networks-1704.04799"/></url>
<url><loc>https://scifaro.com/en/abs/k-means-as-a-variational-em-approximation-of-gaussian-mixture-models-1704.04812</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-means-as-a-variational-em-approximation-of-gaussian-mixture-models-1704.04812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-means-as-a-variational-em-approximation-of-gaussian-mixture-models-1704.04812"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-with-structural-sparsity-a-differential-inclusion-approach-1704.04833</loc><lastmod>2017-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-with-structural-sparsity-a-differential-inclusion-approach-1704.04833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-with-structural-sparsity-a-differential-inclusion-approach-1704.04833"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-hybrid-matrix-factorisation-for-data-integration-1704.04962</loc><lastmod>2017-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-hybrid-matrix-factorisation-for-data-integration-1704.04962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-hybrid-matrix-factorisation-for-data-integration-1704.04962"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-prediction-and-personalization-of-photo-edits-with-deep-generative-models-1704.04997</loc><lastmod>2017-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-prediction-and-personalization-of-photo-edits-with-deep-generative-models-1704.04997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-prediction-and-personalization-of-photo-edits-with-deep-generative-models-1704.04997"/></url>
<url><loc>https://scifaro.com/en/abs/does-neural-machine-translation-benefit-from-larger-context-1704.05135</loc><lastmod>2017-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-neural-machine-translation-benefit-from-larger-context-1704.05135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-neural-machine-translation-benefit-from-larger-context-1704.05135"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-distributed-dual-averaging-over-evolving-networks-of-growing-connectivity-1704.05193</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-distributed-dual-averaging-over-evolving-networks-of-growing-connectivity-1704.05193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-distributed-dual-averaging-over-evolving-networks-of-growing-connectivity-1704.05193"/></url>
<url><loc>https://scifaro.com/en/abs/learning-piece-wise-linear-models-from-large-scale-data-for-ad-click-prediction-1704.05194</loc><lastmod>2017-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-piece-wise-linear-models-from-large-scale-data-for-ad-click-prediction-1704.05194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-piece-wise-linear-models-from-large-scale-data-for-ad-click-prediction-1704.05194"/></url>
<url><loc>https://scifaro.com/en/abs/stein-variational-adaptive-importance-sampling-1704.05201</loc><lastmod>2017-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stein-variational-adaptive-importance-sampling-1704.05201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stein-variational-adaptive-importance-sampling-1704.05201"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-online-semantic-indexing-of-biomedical-articles-via-an-ensemble-of-multi-label-classification-models-1704.05271</loc><lastmod>2017-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-online-semantic-indexing-of-biomedical-articles-via-an-ensemble-of-multi-label-classification-models-1704.05271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-online-semantic-indexing-of-biomedical-articles-via-an-ensemble-of-multi-label-classification-models-1704.05271"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-by-predicting-noise-1704.05310</loc><lastmod>2017-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-by-predicting-noise-1704.05310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-by-predicting-noise-1704.05310"/></url>
<url><loc>https://scifaro.com/en/abs/universal-adversarial-perturbations-against-semantic-image-segmentation-1704.05712</loc><lastmod>2017-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-adversarial-perturbations-against-semantic-image-segmentation-1704.05712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-adversarial-perturbations-against-semantic-image-segmentation-1704.05712"/></url>
<url><loc>https://scifaro.com/en/abs/importance-sampled-stochastic-optimization-for-variational-inference-1704.05786</loc><lastmod>2017-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-sampled-stochastic-optimization-for-variational-inference-1704.05786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-sampled-stochastic-optimization-for-variational-inference-1704.05786"/></url>
<url><loc>https://scifaro.com/en/abs/noise-tolerant-interactive-learning-from-pairwise-comparisons-1704.05820</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-tolerant-interactive-learning-from-pairwise-comparisons-1704.05820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-tolerant-interactive-learning-from-pairwise-comparisons-1704.05820"/></url>
<url><loc>https://scifaro.com/en/abs/deterministic-quantum-annealing-expectation-maximization-algorithm-1704.05822</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deterministic-quantum-annealing-expectation-maximization-algorithm-1704.05822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deterministic-quantum-annealing-expectation-maximization-algorithm-1704.05822"/></url>
<url><loc>https://scifaro.com/en/abs/robust-wirtinger-flow-for-phase-retrieval-with-arbitrary-corruption-1704.06256</loc><lastmod>2018-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-wirtinger-flow-for-phase-retrieval-with-arbitrary-corruption-1704.06256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-wirtinger-flow-for-phase-retrieval-with-arbitrary-corruption-1704.06256"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-structured-prediction-for-neural-sequence-to-sequence-learning-1704.06497</loc><lastmod>2018-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-structured-prediction-for-neural-sequence-to-sequence-learning-1704.06497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-structured-prediction-for-neural-sequence-to-sequence-learning-1704.06497"/></url>
<url><loc>https://scifaro.com/en/abs/learned-d-amp-principled-neural-network-based-compressive-image-recovery-1704.06625</loc><lastmod>2017-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learned-d-amp-principled-neural-network-based-compressive-image-recovery-1704.06625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learned-d-amp-principled-neural-network-based-compressive-image-recovery-1704.06625"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-distributed-variational-gaussian-processes-for-regression-1704.06735</loc><lastmod>2017-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-distributed-variational-gaussian-processes-for-regression-1704.06735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-distributed-variational-gaussian-processes-for-regression-1704.06735"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-theory-for-training-learning-machine-1704.06885</loc><lastmod>2017-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-theory-for-training-learning-machine-1704.06885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-theory-for-training-learning-machine-1704.06885"/></url>
<url><loc>https://scifaro.com/en/abs/a-neural-network-model-with-bidirectional-whitening-1704.07147</loc><lastmod>2018-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-neural-network-model-with-bidirectional-whitening-1704.07147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-neural-network-model-with-bidirectional-whitening-1704.07147"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-comparisons-and-choices-1704.07228</loc><lastmod>2019-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-comparisons-and-choices-1704.07228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-comparisons-and-choices-1704.07228"/></url>
<url><loc>https://scifaro.com/en/abs/structured-low-rank-matrix-learning-algorithms-and-applications-1704.07352</loc><lastmod>2018-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-low-rank-matrix-learning-algorithms-and-applications-1704.07352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-low-rank-matrix-learning-algorithms-and-applications-1704.07352"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-and-matrix-factorization-methods-for-consistent-community-detection-in-multi-layer-networks-1704.07353</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-and-matrix-factorization-methods-for-consistent-community-detection-in-multi-layer-networks-1704.07353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-and-matrix-factorization-methods-for-consistent-community-detection-in-multi-layer-networks-1704.07353"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-materials-and-process-optimization-using-data-driven-experimental-design-with-well-calibrated-uncertainty-estimates-1704.07423</loc><lastmod>2017-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-materials-and-process-optimization-using-data-driven-experimental-design-with-well-calibrated-uncertainty-estimates-1704.07423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-materials-and-process-optimization-using-data-driven-experimental-design-with-well-calibrated-uncertainty-estimates-1704.07423"/></url>
<url><loc>https://scifaro.com/en/abs/active-bias-training-more-accurate-neural-networks-by-emphasizing-high-variance-samples-1704.07433</loc><lastmod>2018-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-bias-training-more-accurate-neural-networks-by-emphasizing-high-variance-samples-1704.07433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-bias-training-more-accurate-neural-networks-by-emphasizing-high-variance-samples-1704.07433"/></url>
<url><loc>https://scifaro.com/en/abs/denoising-linear-models-with-permuted-data-1704.07461</loc><lastmod>2017-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/denoising-linear-models-with-permuted-data-1704.07461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/denoising-linear-models-with-permuted-data-1704.07461"/></url>
<url><loc>https://scifaro.com/en/abs/bootstrapping-graph-convolutional-neural-networks-for-autism-spectrum-disorder-classification-1704.07487</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bootstrapping-graph-convolutional-neural-networks-for-autism-spectrum-disorder-classification-1704.07487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bootstrapping-graph-convolutional-neural-networks-for-autism-spectrum-disorder-classification-1704.07487"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-model-selection-for-prediction-under-a-budget-1704.07505</loc><lastmod>2017-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-model-selection-for-prediction-under-a-budget-1704.07505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-model-selection-for-prediction-under-a-budget-1704.07505"/></url>
<url><loc>https://scifaro.com/en/abs/stein-variational-gradient-descent-as-gradient-flow-1704.07520</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stein-variational-gradient-descent-as-gradient-flow-1704.07520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stein-variational-gradient-descent-as-gradient-flow-1704.07520"/></url>
<url><loc>https://scifaro.com/en/abs/a-relevance-scalability-interpretability-tradeoff-with-temporally-evolving-user-personas-1704.07554</loc><lastmod>2017-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-relevance-scalability-interpretability-tradeoff-with-temporally-evolving-user-personas-1704.07554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-relevance-scalability-interpretability-tradeoff-with-temporally-evolving-user-personas-1704.07554"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-optimization-from-distributed-streaming-data-in-rate-limited-networks-1704.07888</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-optimization-from-distributed-streaming-data-in-rate-limited-networks-1704.07888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-optimization-from-distributed-streaming-data-in-rate-limited-networks-1704.07888"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-random-projections-and-sparsity-with-random-forests-and-gradient-boosting-methods-application-to-multi-label-and-multi-output-learning-random-forest-model-compression-and-leveraging-input-sparsity-1704.08067</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-random-projections-and-sparsity-with-random-forests-and-gradient-boosting-methods-application-to-multi-label-and-multi-output-learning-random-forest-model-compression-and-leveraging-input-sparsity-1704.08067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-random-projections-and-sparsity-with-random-forests-and-gradient-boosting-methods-application-to-multi-label-and-multi-output-learning-random-forest-model-compression-and-leveraging-input-sparsity-1704.08067"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalization-of-convolutional-neural-networks-to-graph-structured-data-1704.08165</loc><lastmod>2017-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalization-of-convolutional-neural-networks-to-graph-structured-data-1704.08165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalization-of-convolutional-neural-networks-to-graph-structured-data-1704.08165"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-stochastic-gradient-descent-for-least-squares-regression-1704.08227</loc><lastmod>2018-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-stochastic-gradient-descent-for-least-squares-regression-1704.08227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-stochastic-gradient-descent-for-least-squares-regression-1704.08227"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-the-coefficients-of-a-mixture-of-two-linear-regressions-by-expectation-maximization-1704.08231</loc><lastmod>2018-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-the-coefficients-of-a-mixture-of-two-linear-regressions-by-expectation-maximization-1704.08231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-the-coefficients-of-a-mixture-of-two-linear-regressions-by-expectation-maximization-1704.08231"/></url>
<url><loc>https://scifaro.com/en/abs/pruning-variable-selection-ensembles-1704.08265</loc><lastmod>2017-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pruning-variable-selection-ensembles-1704.08265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pruning-variable-selection-ensembles-1704.08265"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-ergodicity-in-deep-learning-architectures-via-surrogate-random-matrices-1704.08303</loc><lastmod>2017-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-ergodicity-in-deep-learning-architectures-via-surrogate-random-matrices-1704.08303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-ergodicity-in-deep-learning-architectures-via-surrogate-random-matrices-1704.08303"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-word-distributions-1704.08424</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-word-distributions-1704.08424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-word-distributions-1704.08424"/></url>
<url><loc>https://scifaro.com/en/abs/complex-spectrogram-enhancement-by-convolutional-neural-network-with-multi-metrics-learning-1704.08504</loc><lastmod>2017-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complex-spectrogram-enhancement-by-convolutional-neural-network-with-multi-metrics-learning-1704.08504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complex-spectrogram-enhancement-by-convolutional-neural-network-with-multi-metrics-learning-1704.08504"/></url>
<url><loc>https://scifaro.com/en/abs/a-siamese-deep-forest-1704.08715</loc><lastmod>2017-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-siamese-deep-forest-1704.08715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-siamese-deep-forest-1704.08715"/></url>
<url><loc>https://scifaro.com/en/abs/structured-sparse-modelling-with-hierarchical-gp-1704.08727</loc><lastmod>2017-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-sparse-modelling-with-hierarchical-gp-1704.08727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-sparse-modelling-with-hierarchical-gp-1704.08727"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-safe-strong-rules-for-efficient-optimization-in-lasso-type-problems-1704.08742</loc><lastmod>2026-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-safe-strong-rules-for-efficient-optimization-in-lasso-type-problems-1704.08742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-safe-strong-rules-for-efficient-optimization-in-lasso-type-problems-1704.08742"/></url>
<url><loc>https://scifaro.com/en/abs/a-network-perspective-on-stratification-of-multi-label-data-1704.08756</loc><lastmod>2017-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-network-perspective-on-stratification-of-multi-label-data-1704.08756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-network-perspective-on-stratification-of-multi-label-data-1704.08756"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-daytime-hypoglycemic-events-using-continuous-glucose-monitoring-data-and-classification-technique-1704.08769</loc><lastmod>2017-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-daytime-hypoglycemic-events-using-continuous-glucose-monitoring-data-and-classification-technique-1704.08769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-daytime-hypoglycemic-events-using-continuous-glucose-monitoring-data-and-classification-technique-1704.08769"/></url>
<url><loc>https://scifaro.com/en/abs/learning-quadratic-variance-function-qvf-dag-models-via-overdispersion-scoring-ods-1704.08783</loc><lastmod>2017-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-quadratic-variance-function-qvf-dag-models-via-overdispersion-scoring-ods-1704.08783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-quadratic-variance-function-qvf-dag-models-via-overdispersion-scoring-ods-1704.08783"/></url>
<url><loc>https://scifaro.com/en/abs/deeparchitect-automatically-designing-and-training-deep-architectures-1704.08792</loc><lastmod>2017-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeparchitect-automatically-designing-and-training-deep-architectures-1704.08792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeparchitect-automatically-designing-and-training-deep-architectures-1704.08792"/></url>
<url><loc>https://scifaro.com/en/abs/deep-feature-learning-for-graphs-1704.08829</loc><lastmod>2017-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-feature-learning-for-graphs-1704.08829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-feature-learning-for-graphs-1704.08829"/></url>
<url><loc>https://scifaro.com/en/abs/parseval-networks-improving-robustness-to-adversarial-examples-1704.08847</loc><lastmod>2017-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parseval-networks-improving-robustness-to-adversarial-examples-1704.08847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parseval-networks-improving-robustness-to-adversarial-examples-1704.08847"/></url>
<url><loc>https://scifaro.com/en/abs/adaptation-and-learning-over-networks-for-nonlinear-system-modeling-1704.08913</loc><lastmod>2017-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptation-and-learning-over-networks-for-nonlinear-system-modeling-1704.08913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptation-and-learning-over-networks-for-nonlinear-system-modeling-1704.08913"/></url>
<url><loc>https://scifaro.com/en/abs/mostly-exploration-free-algorithms-for-contextual-bandits-1704.09011</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mostly-exploration-free-algorithms-for-contextual-bandits-1704.09011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mostly-exploration-free-algorithms-for-contextual-bandits-1704.09011"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-estimation-in-computational-biology-by-approximate-bayesian-computation-coupled-with-sensitivity-analysis-1704.09021</loc><lastmod>2017-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-estimation-in-computational-biology-by-approximate-bayesian-computation-coupled-with-sensitivity-analysis-1704.09021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-estimation-in-computational-biology-by-approximate-bayesian-computation-coupled-with-sensitivity-analysis-1704.09021"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-sales-forecasting-study-in-semiconductor-industry-1705.00003</loc><lastmod>2017-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-sales-forecasting-study-in-semiconductor-industry-1705.00003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-sales-forecasting-study-in-semiconductor-industry-1705.00003"/></url>
<url><loc>https://scifaro.com/en/abs/generative-modeling-with-conditional-autoencoders-building-an-integrated-cell-1705.00092</loc><lastmod>2017-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-modeling-with-conditional-autoencoders-building-an-integrated-cell-1705.00092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-modeling-with-conditional-autoencoders-building-an-integrated-cell-1705.00092"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-and-pairwise-ranking-for-implicit-feedback-in-recommendation-systems-1705.00105</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-and-pairwise-ranking-for-implicit-feedback-in-recommendation-systems-1705.00105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-and-pairwise-ranking-for-implicit-feedback-in-recommendation-systems-1705.00105"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-active-search-using-linear-similarity-functions-1705.00334</loc><lastmod>2017-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-active-search-using-linear-similarity-functions-1705.00334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-active-search-using-linear-similarity-functions-1705.00334"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-divergence-minimization-for-biterm-topic-model-1705.00394</loc><lastmod>2018-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-divergence-minimization-for-biterm-topic-model-1705.00394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-divergence-minimization-for-biterm-topic-model-1705.00394"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-projected-variance-group-sparse-block-pca-1705.00461</loc><lastmod>2021-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-projected-variance-group-sparse-block-pca-1705.00461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-projected-variance-group-sparse-block-pca-1705.00461"/></url>
<url><loc>https://scifaro.com/en/abs/learning-multimodal-transition-dynamics-for-model-based-reinforcement-learning-1705.00470</loc><lastmod>2017-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-multimodal-transition-dynamics-for-model-based-reinforcement-learning-1705.00470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-multimodal-transition-dynamics-for-model-based-reinforcement-learning-1705.00470"/></url>
<url><loc>https://scifaro.com/en/abs/vertex-nomination-via-seeded-graph-matching-1705.00674</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vertex-nomination-via-seeded-graph-matching-1705.00674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vertex-nomination-via-seeded-graph-matching-1705.00674"/></url>
<url><loc>https://scifaro.com/en/abs/regularizing-model-complexity-and-label-structure-for-multi-label-text-classification-1705.00740</loc><lastmod>2017-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularizing-model-complexity-and-label-structure-for-multi-label-text-classification-1705.00740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularizing-model-complexity-and-label-structure-for-multi-label-text-classification-1705.00740"/></url>
<url><loc>https://scifaro.com/en/abs/one-class-semi-supervised-learning-detecting-linearly-separable-class-by-its-mean-1705.00797</loc><lastmod>2017-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-class-semi-supervised-learning-detecting-linearly-separable-class-by-its-mean-1705.00797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-class-semi-supervised-learning-detecting-linearly-separable-class-by-its-mean-1705.00797"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-approach-to-forecasting-financial-volatility-with-gaussian-process-envelopes-1705.00891</loc><lastmod>2017-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-approach-to-forecasting-financial-volatility-with-gaussian-process-envelopes-1705.00891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-approach-to-forecasting-financial-volatility-with-gaussian-process-envelopes-1705.00891"/></url>
<url><loc>https://scifaro.com/en/abs/experimental-design-for-non-parametric-correction-of-misspecified-dynamical-models-1705.00956</loc><lastmod>2017-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/experimental-design-for-non-parametric-correction-of-misspecified-dynamical-models-1705.00956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/experimental-design-for-non-parametric-correction-of-misspecified-dynamical-models-1705.00956"/></url>
<url><loc>https://scifaro.com/en/abs/fuzzy-approach-topic-discovery-in-health-and-medical-corpora-1705.00995</loc><lastmod>2017-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fuzzy-approach-topic-discovery-in-health-and-medical-corpora-1705.00995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fuzzy-approach-topic-discovery-in-health-and-medical-corpora-1705.00995"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-tumor-classification-in-imaging-mass-spectrometry-1705.01015</loc><lastmod>2018-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-tumor-classification-in-imaging-mass-spectrometry-1705.01015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-tumor-classification-in-imaging-mass-spectrometry-1705.01015"/></url>
<url><loc>https://scifaro.com/en/abs/mass-volume-curves-and-anomaly-ranking-1705.01305</loc><lastmod>2018-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mass-volume-curves-and-anomaly-ranking-1705.01305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mass-volume-curves-and-anomaly-ranking-1705.01305"/></url>
<url><loc>https://scifaro.com/en/abs/linear-regression-with-shuffled-labels-1705.01342</loc><lastmod>2017-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-regression-with-shuffled-labels-1705.01342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-regression-with-shuffled-labels-1705.01342"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-auc-optimization-based-on-positive-unlabeled-learning-1705.01708</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-auc-optimization-based-on-positive-unlabeled-learning-1705.01708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-auc-optimization-based-on-positive-unlabeled-learning-1705.01708"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-confident-examples-rank-pruning-for-robust-classification-with-noisy-labels-1705.01936</loc><lastmod>2017-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-confident-examples-rank-pruning-for-robust-classification-with-noisy-labels-1705.01936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-confident-examples-rank-pruning-for-robust-classification-with-noisy-labels-1705.01936"/></url>
<url><loc>https://scifaro.com/en/abs/a-workflow-for-visual-diagnostics-of-binary-classifiers-using-instance-level-explanations-1705.01968</loc><lastmod>2017-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-workflow-for-visual-diagnostics-of-binary-classifiers-using-instance-level-explanations-1705.01968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-workflow-for-visual-diagnostics-of-binary-classifiers-using-instance-level-explanations-1705.01968"/></url>
<url><loc>https://scifaro.com/en/abs/kate-k-competitive-autoencoder-for-text-1705.02033</loc><lastmod>2017-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kate-k-competitive-autoencoder-for-text-1705.02033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kate-k-competitive-autoencoder-for-text-1705.02033"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-completion-via-factorizing-polynomials-1705.02047</loc><lastmod>2018-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-completion-via-factorizing-polynomials-1705.02047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-completion-via-factorizing-polynomials-1705.02047"/></url>
<url><loc>https://scifaro.com/en/abs/group-invariance-principles-for-causal-generative-models-1705.02212</loc><lastmod>2017-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-invariance-principles-for-causal-generative-models-1705.02212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-invariance-principles-for-causal-generative-models-1705.02212"/></url>
<url><loc>https://scifaro.com/en/abs/learning-of-gaussian-processes-in-distributed-and-communication-limited-systems-1705.02627</loc><lastmod>2017-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-of-gaussian-processes-in-distributed-and-communication-limited-systems-1705.02627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-of-gaussian-processes-in-distributed-and-communication-limited-systems-1705.02627"/></url>
<url><loc>https://scifaro.com/en/abs/finding-bottlenecks-predicting-student-attrition-with-unsupervised-classifier-1705.02687</loc><lastmod>2017-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-bottlenecks-predicting-student-attrition-with-unsupervised-classifier-1705.02687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-bottlenecks-predicting-student-attrition-with-unsupervised-classifier-1705.02687"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-gan-1705.02894</loc><lastmod>2017-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-gan-1705.02894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-gan-1705.02894"/></url>
<url><loc>https://scifaro.com/en/abs/non-negative-matrix-factorization-via-archetypal-analysis-1705.02994</loc><lastmod>2017-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-negative-matrix-factorization-via-archetypal-analysis-1705.02994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-negative-matrix-factorization-via-archetypal-analysis-1705.02994"/></url>
<url><loc>https://scifaro.com/en/abs/semiparametric-spectral-modeling-of-the-drosophila-connectome-1705.03297</loc><lastmod>2017-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semiparametric-spectral-modeling-of-the-drosophila-connectome-1705.03297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semiparametric-spectral-modeling-of-the-drosophila-connectome-1705.03297"/></url>
<url><loc>https://scifaro.com/en/abs/frequentist-consistency-of-variational-bayes-1705.03439</loc><lastmod>2021-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frequentist-consistency-of-variational-bayes-1705.03439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frequentist-consistency-of-variational-bayes-1705.03439"/></url>
<url><loc>https://scifaro.com/en/abs/silvar-single-index-latent-variable-models-1705.03536</loc><lastmod>2018-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/silvar-single-index-latent-variable-models-1705.03536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/silvar-single-index-latent-variable-models-1705.03536"/></url>
<url><loc>https://scifaro.com/en/abs/deep-episodic-value-iteration-for-model-based-meta-reinforcement-learning-1705.03562</loc><lastmod>2017-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-episodic-value-iteration-for-model-based-meta-reinforcement-learning-1705.03562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-episodic-value-iteration-for-model-based-meta-reinforcement-learning-1705.03562"/></url>
<url><loc>https://scifaro.com/en/abs/comments-on-the-proof-of-adaptive-submodular-function-minimization-1705.03771</loc><lastmod>2017-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comments-on-the-proof-of-adaptive-submodular-function-minimization-1705.03771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comments-on-the-proof-of-adaptive-submodular-function-minimization-1705.03771"/></url>
<url><loc>https://scifaro.com/en/abs/influence-function-and-robust-variant-of-kernel-canonical-correlation-analysis-1705.04194</loc><lastmod>2017-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/influence-function-and-robust-variant-of-kernel-canonical-correlation-analysis-1705.04194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/influence-function-and-robust-variant-of-kernel-canonical-correlation-analysis-1705.04194"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-approaches-to-distribution-regression-1705.04293</loc><lastmod>2021-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-approaches-to-distribution-regression-1705.04293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-approaches-to-distribution-regression-1705.04293"/></url>
<url><loc>https://scifaro.com/en/abs/the-network-nullspace-property-for-compressed-sensing-of-big-data-over-networks-1705.04379</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-network-nullspace-property-for-compressed-sensing-of-big-data-over-networks-1705.04379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-network-nullspace-property-for-compressed-sensing-of-big-data-over-networks-1705.04379"/></url>
<url><loc>https://scifaro.com/en/abs/practical-bayesian-optimization-for-model-fitting-with-bayesian-adaptive-direct-search-1705.04405</loc><lastmod>2017-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-bayesian-optimization-for-model-fitting-with-bayesian-adaptive-direct-search-1705.04405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-bayesian-optimization-for-model-fitting-with-bayesian-adaptive-direct-search-1705.04405"/></url>
<url><loc>https://scifaro.com/en/abs/shortfuse-biomedical-time-series-representations-in-the-presence-of-structured-information-1705.04790</loc><lastmod>2017-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shortfuse-biomedical-time-series-representations-in-the-presence-of-structured-information-1705.04790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shortfuse-biomedical-time-series-representations-in-the-presence-of-structured-information-1705.04790"/></url>
<url><loc>https://scifaro.com/en/abs/learning-task-structure-via-sparsity-grouped-multitask-learning-1705.04886</loc><lastmod>2017-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-task-structure-via-sparsity-grouped-multitask-learning-1705.04886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-task-structure-via-sparsity-grouped-multitask-learning-1705.04886"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-statistical-interactions-from-neural-network-weights-1705.04977</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-statistical-interactions-from-neural-network-weights-1705.04977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-statistical-interactions-from-neural-network-weights-1705.04977"/></url>
<url><loc>https://scifaro.com/en/abs/mosquito-detection-with-neural-networks-the-buzz-of-deep-learning-1705.05180</loc><lastmod>2017-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mosquito-detection-with-neural-networks-the-buzz-of-deep-learning-1705.05180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mosquito-detection-with-neural-networks-the-buzz-of-deep-learning-1705.05180"/></url>
<url><loc>https://scifaro.com/en/abs/convex-coupled-matrix-and-tensor-completion-1705.05197</loc><lastmod>2018-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-coupled-matrix-and-tensor-completion-1705.05197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-coupled-matrix-and-tensor-completion-1705.05197"/></url>
<url><loc>https://scifaro.com/en/abs/unimodal-probability-distributions-for-deep-ordinal-classification-1705.05278</loc><lastmod>2017-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unimodal-probability-distributions-for-deep-ordinal-classification-1705.05278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unimodal-probability-distributions-for-deep-ordinal-classification-1705.05278"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-matrix-factorization-for-automated-machine-learning-1705.05355</loc><lastmod>2018-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-matrix-factorization-for-automated-machine-learning-1705.05355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-matrix-factorization-for-automated-machine-learning-1705.05355"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-filtering-algorithm-for-gaussian-mixture-models-1705.05495</loc><lastmod>2023-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-filtering-algorithm-for-gaussian-mixture-models-1705.05495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-filtering-algorithm-for-gaussian-mixture-models-1705.05495"/></url>
<url><loc>https://scifaro.com/en/abs/learning-how-to-explain-neural-networks-patternnet-and-patternattribution-1705.05598</loc><lastmod>2017-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-how-to-explain-neural-networks-patternnet-and-patternattribution-1705.05598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-how-to-explain-neural-networks-patternnet-and-patternattribution-1705.05598"/></url>
<url><loc>https://scifaro.com/en/abs/to-tune-or-not-to-tune-the-number-of-trees-in-random-forest-1705.05654</loc><lastmod>2019-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/to-tune-or-not-to-tune-the-number-of-trees-in-random-forest-1705.05654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/to-tune-or-not-to-tune-the-number-of-trees-in-random-forest-1705.05654"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-adaptive-image-compression-1705.05823</loc><lastmod>2017-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-adaptive-image-compression-1705.05823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-adaptive-image-compression-1705.05823"/></url>
<url><loc>https://scifaro.com/en/abs/static-gesture-recognition-using-leap-motion-1705.05884</loc><lastmod>2017-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/static-gesture-recognition-using-leap-motion-1705.05884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/static-gesture-recognition-using-leap-motion-1705.05884"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-clustering-density-biases-and-solutions-1705.05950</loc><lastmod>2017-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-clustering-density-biases-and-solutions-1705.05950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-clustering-density-biases-and-solutions-1705.05950"/></url>
<url><loc>https://scifaro.com/en/abs/joint-positioning-and-radio-map-generation-based-on-stochastic-variational-bayesian-inference-for-fwips-1705.06025</loc><lastmod>2017-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-positioning-and-radio-map-generation-based-on-stochastic-variational-bayesian-inference-for-fwips-1705.06025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-positioning-and-radio-map-generation-based-on-stochastic-variational-bayesian-inference-for-fwips-1705.06025"/></url>
<url><loc>https://scifaro.com/en/abs/co-clustering-through-optimal-transport-1705.06189</loc><lastmod>2017-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/co-clustering-through-optimal-transport-1705.06189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/co-clustering-through-optimal-transport-1705.06189"/></url>
<url><loc>https://scifaro.com/en/abs/learning-gaussian-graphical-models-using-discriminated-hub-graphical-lasso-1705.06364</loc><lastmod>2017-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-gaussian-graphical-models-using-discriminated-hub-graphical-lasso-1705.06364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-gaussian-graphical-models-using-discriminated-hub-graphical-lasso-1705.06364"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-margin-principal-components-1705.06371</loc><lastmod>2017-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-margin-principal-components-1705.06371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-margin-principal-components-1705.06371"/></url>
<url><loc>https://scifaro.com/en/abs/linear-dimensionality-reduction-in-linear-time-johnson-lindenstrauss-type-guarantees-for-random-subspace-1705.06408</loc><lastmod>2017-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-dimensionality-reduction-in-linear-time-johnson-lindenstrauss-type-guarantees-for-random-subspace-1705.06408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-dimensionality-reduction-in-linear-time-johnson-lindenstrauss-type-guarantees-for-random-subspace-1705.06408"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-algorithms-for-recovering-structured-signals-from-magnitude-only-measurements-1705.06412</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-algorithms-for-recovering-structured-signals-from-magnitude-only-measurements-1705.06412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-algorithms-for-recovering-structured-signals-from-magnitude-only-measurements-1705.06412"/></url>
<url><loc>https://scifaro.com/en/abs/delving-into-adversarial-attacks-on-deep-policies-1705.06452</loc><lastmod>2017-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/delving-into-adversarial-attacks-on-deep-policies-1705.06452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/delving-into-adversarial-attacks-on-deep-policies-1705.06452"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-the-graph-structure-in-the-clustering-results-1705.06753</loc><lastmod>2017-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-the-graph-structure-in-the-clustering-results-1705.06753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-the-graph-structure-in-the-clustering-results-1705.06753"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-rate-of-convergence-of-thompson-sampling-for-gaussian-process-optimization-1705.06808</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-rate-of-convergence-of-thompson-sampling-for-gaussian-process-optimization-1705.06808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-rate-of-convergence-of-thompson-sampling-for-gaussian-process-optimization-1705.06808"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-for-stochastic-matrix-factorization-via-variance-reduction-1705.06884</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-for-stochastic-matrix-factorization-via-variance-reduction-1705.06884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-for-stochastic-matrix-factorization-via-variance-reduction-1705.06884"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-nonparametric-poisson-process-allocation-for-time-sequence-modeling-1705.07006</loc><lastmod>2018-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-nonparametric-poisson-process-allocation-for-time-sequence-modeling-1705.07006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-nonparametric-poisson-process-allocation-for-time-sequence-modeling-1705.07006"/></url>
<url><loc>https://scifaro.com/en/abs/effective-representations-of-clinical-notes-1705.07025</loc><lastmod>2018-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-representations-of-clinical-notes-1705.07025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-representations-of-clinical-notes-1705.07025"/></url>
<url><loc>https://scifaro.com/en/abs/the-landscape-of-deep-learning-algorithms-1705.07038</loc><lastmod>2017-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-landscape-of-deep-learning-algorithms-1705.07038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-landscape-of-deep-learning-algorithms-1705.07038"/></url>
<url><loc>https://scifaro.com/en/abs/masked-autoregressive-flow-for-density-estimation-1705.07057</loc><lastmod>2018-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/masked-autoregressive-flow-for-density-estimation-1705.07057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/masked-autoregressive-flow-for-density-estimation-1705.07057"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-variational-inference-for-dynamical-systems-1705.07079</loc><lastmod>2018-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-variational-inference-for-dynamical-systems-1705.07079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-variational-inference-for-dynamical-systems-1705.07079"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-learning-of-harmonic-priors-for-pitch-detection-in-polyphonic-music-1705.07104</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-learning-of-harmonic-priors-for-pitch-detection-in-polyphonic-music-1705.07104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-learning-of-harmonic-priors-for-pitch-detection-in-polyphonic-music-1705.07104"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-estimators-for-implicit-models-1705.07107</loc><lastmod>2018-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-estimators-for-implicit-models-1705.07107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-estimators-for-implicit-models-1705.07107"/></url>
<url><loc>https://scifaro.com/en/abs/the-kernel-mixture-network-a-nonparametric-method-for-conditional-density-estimation-of-continuous-random-variables-1705.07111</loc><lastmod>2017-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-kernel-mixture-network-a-nonparametric-method-for-conditional-density-estimation-of-continuous-random-variables-1705.07111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-kernel-mixture-network-a-nonparametric-method-for-conditional-density-estimation-of-continuous-random-variables-1705.07111"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-sparse-gaussian-process-approximations-1705.07131</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-sparse-gaussian-process-approximations-1705.07131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-sparse-gaussian-process-approximations-1705.07131"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-optimal-cost-selection-for-distributionally-robust-optimization-1705.07152</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-optimal-cost-selection-for-distributionally-robust-optimization-1705.07152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-optimal-cost-selection-for-distributionally-robust-optimization-1705.07152"/></url>
<url><loc>https://scifaro.com/en/abs/relaxed-wasserstein-with-applications-to-gans-1705.07164</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relaxed-wasserstein-with-applications-to-gans-1705.07164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relaxed-wasserstein-with-applications-to-gans-1705.07164"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-robust-data-driven-distributionally-robust-optimization-1705.07168</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-robust-data-driven-distributionally-robust-optimization-1705.07168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-robust-data-driven-distributionally-robust-optimization-1705.07168"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-parallel-non-conjugate-sampling-for-bayesian-non-parametric-models-1705.07178</loc><lastmod>2022-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-parallel-non-conjugate-sampling-for-bayesian-non-parametric-models-1705.07178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-parallel-non-conjugate-sampling-for-bayesian-non-parametric-models-1705.07178"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-adversarial-training-attacks-and-defenses-1705.07204</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-adversarial-training-attacks-and-defenses-1705.07204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-adversarial-training-attacks-and-defenses-1705.07204"/></url>
<url><loc>https://scifaro.com/en/abs/data-adaptive-active-sampling-for-efficient-graph-cognizant-classification-1705.07220</loc><lastmod>2018-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-adaptive-active-sampling-for-efficient-graph-cognizant-classification-1705.07220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-adaptive-active-sampling-for-efficient-graph-cognizant-classification-1705.07220"/></url>
<url><loc>https://scifaro.com/en/abs/aide-an-algorithm-for-measuring-the-accuracy-of-probabilistic-inference-algorithms-1705.07224</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aide-an-algorithm-for-measuring-the-accuracy-of-probabilistic-inference-algorithms-1705.07224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aide-an-algorithm-for-measuring-the-accuracy-of-probabilistic-inference-algorithms-1705.07224"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-recursive-gradient-algorithm-for-nonconvex-optimization-1705.07261</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-recursive-gradient-algorithm-for-nonconvex-optimization-1705.07261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-recursive-gradient-algorithm-for-nonconvex-optimization-1705.07261"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-belief-updating-of-spatiotemporal-seizure-dynamics-1705.07278</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-belief-updating-of-spatiotemporal-seizure-dynamics-1705.07278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-belief-updating-of-spatiotemporal-seizure-dynamics-1705.07278"/></url>
<url><loc>https://scifaro.com/en/abs/structured-bayesian-pruning-via-log-normal-multiplicative-noise-1705.07283</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-bayesian-pruning-via-log-normal-multiplicative-noise-1705.07283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-bayesian-pruning-via-log-normal-multiplicative-noise-1705.07283"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-hierarchical-density-clustering-1705.07321</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-hierarchical-density-clustering-1705.07321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-hierarchical-density-clustering-1705.07321"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-sampling-1705.07347</loc><lastmod>2023-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-sampling-1705.07347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-sampling-1705.07347"/></url>
<url><loc>https://scifaro.com/en/abs/calibrating-black-box-classification-models-through-the-thresholding-method-1705.07348</loc><lastmod>2017-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrating-black-box-classification-models-through-the-thresholding-method-1705.07348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrating-black-box-classification-models-through-the-thresholding-method-1705.07348"/></url>
<url><loc>https://scifaro.com/en/abs/left-beta-varpi-right-stability-for-cross-validation-and-the-choice-of-the-number-of-folds-1705.07349</loc><lastmod>2017-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/left-beta-varpi-right-stability-for-cross-validation-and-the-choice-of-the-number-of-folds-1705.07349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/left-beta-varpi-right-stability-for-cross-validation-and-the-choice-of-the-number-of-folds-1705.07349"/></url>
<url><loc>https://scifaro.com/en/abs/honey-bee-dance-modeling-in-real-time-using-machine-learning-1705.07362</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/honey-bee-dance-modeling-in-real-time-using-machine-learning-1705.07362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/honey-bee-dance-modeling-in-real-time-using-machine-learning-1705.07362"/></url>
<url><loc>https://scifaro.com/en/abs/forward-thinking-building-deep-random-forests-1705.07366</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forward-thinking-building-deep-random-forests-1705.07366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forward-thinking-building-deep-random-forests-1705.07366"/></url>
<url><loc>https://scifaro.com/en/abs/instrument-armed-bandits-1705.07377</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instrument-armed-bandits-1705.07377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instrument-armed-bandits-1705.07377"/></url>
<url><loc>https://scifaro.com/en/abs/balanced-policy-evaluation-and-learning-1705.07384</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balanced-policy-evaluation-and-learning-1705.07384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balanced-policy-evaluation-and-learning-1705.07384"/></url>
<url><loc>https://scifaro.com/en/abs/improved-algorithms-for-matrix-recovery-from-rank-one-projections-1705.07469</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-algorithms-for-matrix-recovery-from-rank-one-projections-1705.07469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-algorithms-for-matrix-recovery-from-rank-one-projections-1705.07469"/></url>
<url><loc>https://scifaro.com/en/abs/annealed-generative-adversarial-networks-1705.07505</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/annealed-generative-adversarial-networks-1705.07505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/annealed-generative-adversarial-networks-1705.07505"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-complementary-labels-1705.07541</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-complementary-labels-1705.07541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-complementary-labels-1705.07541"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-diffusion-approximation-of-nonconvex-stochastic-gradient-descent-1705.07562</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-diffusion-approximation-of-nonconvex-stochastic-gradient-descent-1705.07562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-diffusion-approximation-of-nonconvex-stochastic-gradient-descent-1705.07562"/></url>
<url><loc>https://scifaro.com/en/abs/union-of-intersections-uoi-for-interpretable-data-driven-discovery-and-prediction-1705.07585</loc><lastmod>2017-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/union-of-intersections-uoi-for-interpretable-data-driven-discovery-and-prediction-1705.07585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/union-of-intersections-uoi-for-interpretable-data-driven-discovery-and-prediction-1705.07585"/></url>
<url><loc>https://scifaro.com/en/abs/improved-clustering-with-augmented-k-means-1705.07592</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-clustering-with-augmented-k-means-1705.07592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-clustering-with-augmented-k-means-1705.07592"/></url>
<url><loc>https://scifaro.com/en/abs/multi-output-polynomial-networks-and-factorization-machines-1705.07603</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-output-polynomial-networks-and-factorization-machines-1705.07603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-output-polynomial-networks-and-factorization-machines-1705.07603"/></url>
<url><loc>https://scifaro.com/en/abs/guide-actor-critic-for-continuous-control-1705.07606</loc><lastmod>2018-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guide-actor-critic-for-continuous-control-1705.07606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guide-actor-critic-for-continuous-control-1705.07606"/></url>
<url><loc>https://scifaro.com/en/abs/from-optimal-transport-to-generative-modeling-the-vegan-cookbook-1705.07642</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-optimal-transport-to-generative-modeling-the-vegan-cookbook-1705.07642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-optimal-transport-to-generative-modeling-the-vegan-cookbook-1705.07642"/></url>
<url><loc>https://scifaro.com/en/abs/refactor-practical-low-rank-matrix-estimation-under-column-sparsity-1705.07654</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/refactor-practical-low-rank-matrix-estimation-under-column-sparsity-1705.07654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/refactor-practical-low-rank-matrix-estimation-under-column-sparsity-1705.07654"/></url>
<url><loc>https://scifaro.com/en/abs/a-linear-time-kernel-goodness-of-fit-test-1705.07673</loc><lastmod>2017-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-linear-time-kernel-goodness-of-fit-test-1705.07673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-linear-time-kernel-goodness-of-fit-test-1705.07673"/></url>
<url><loc>https://scifaro.com/en/abs/a-regularized-framework-for-sparse-and-structured-neural-attention-1705.07704</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-regularized-framework-for-sparse-and-structured-neural-attention-1705.07704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-regularized-framework-for-sparse-and-structured-neural-attention-1705.07704"/></url>
<url><loc>https://scifaro.com/en/abs/an-asynchronous-distributed-framework-for-large-scale-learning-based-on-parameter-exchanges-1705.07751</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-asynchronous-distributed-framework-for-large-scale-learning-based-on-parameter-exchanges-1705.07751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-asynchronous-distributed-framework-for-large-scale-learning-based-on-parameter-exchanges-1705.07751"/></url>
<url><loc>https://scifaro.com/en/abs/veegan-reducing-mode-collapse-in-gans-using-implicit-variational-learning-1705.07761</loc><lastmod>2017-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/veegan-reducing-mode-collapse-in-gans-using-implicit-variational-learning-1705.07761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/veegan-reducing-mode-collapse-in-gans-using-implicit-variational-learning-1705.07761"/></url>
<url><loc>https://scifaro.com/en/abs/concrete-dropout-1705.07832</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concrete-dropout-1705.07832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concrete-dropout-1705.07832"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-image-saliency-for-black-box-classifiers-1705.07857</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-image-saliency-for-black-box-classifiers-1705.07857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-image-saliency-for-black-box-classifiers-1705.07857"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-reparameterization-gradient-variance-1705.07880</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-reparameterization-gradient-variance-1705.07880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-reparameterization-gradient-variance-1705.07880"/></url>
<url><loc>https://scifaro.com/en/abs/consistencies-and-inconsistencies-between-model-selection-and-link-prediction-in-networks-1705.07967</loc><lastmod>2018-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistencies-and-inconsistencies-between-model-selection-and-link-prediction-in-networks-1705.07967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistencies-and-inconsistencies-between-model-selection-and-link-prediction-in-networks-1705.07967"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-morphology-of-brain-signals-using-alpha-stable-convolutional-sparse-coding-1705.08006</loc><lastmod>2017-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-morphology-of-brain-signals-using-alpha-stable-convolutional-sparse-coding-1705.08006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-morphology-of-brain-signals-using-alpha-stable-convolutional-sparse-coding-1705.08006"/></url>
<url><loc>https://scifaro.com/en/abs/ambiguity-set-and-learning-via-bregman-and-wasserstein-1705.08056</loc><lastmod>2017-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ambiguity-set-and-learning-via-bregman-and-wasserstein-1705.08056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ambiguity-set-and-learning-via-bregman-and-wasserstein-1705.08056"/></url>
<url><loc>https://scifaro.com/en/abs/effective-injury-forecasting-in-soccer-with-gps-training-data-and-machine-learning-1705.08079</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-injury-forecasting-in-soccer-with-gps-training-data-and-machine-learning-1705.08079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-injury-forecasting-in-soccer-with-gps-training-data-and-machine-learning-1705.08079"/></url>
<url><loc>https://scifaro.com/en/abs/latent-multi-task-architecture-learning-1705.08142</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-multi-task-architecture-learning-1705.08142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-multi-task-architecture-learning-1705.08142"/></url>
<url><loc>https://scifaro.com/en/abs/techniques-for-visualizing-lstms-applied-to-electrocardiograms-1705.08153</loc><lastmod>2018-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/techniques-for-visualizing-lstms-applied-to-electrocardiograms-1705.08153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/techniques-for-visualizing-lstms-applied-to-electrocardiograms-1705.08153"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-succeed-while-teaching-to-fail-privacy-in-closed-machine-learning-systems-1705.08197</loc><lastmod>2017-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-succeed-while-teaching-to-fail-privacy-in-closed-machine-learning-systems-1705.08197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-succeed-while-teaching-to-fail-privacy-in-closed-machine-learning-systems-1705.08197"/></url>
<url><loc>https://scifaro.com/en/abs/3d-convolutional-neural-networks-for-brain-tumor-segmentation-a-comparison-of-multi-resolution-architectures-1705.08236</loc><lastmod>2017-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/3d-convolutional-neural-networks-for-brain-tumor-segmentation-a-comparison-of-multi-resolution-architectures-1705.08236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/3d-convolutional-neural-networks-for-brain-tumor-segmentation-a-comparison-of-multi-resolution-architectures-1705.08236"/></url>
<url><loc>https://scifaro.com/en/abs/the-marginal-value-of-adaptive-gradient-methods-in-machine-learning-1705.08292</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-marginal-value-of-adaptive-gradient-methods-in-machine-learning-1705.08292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-marginal-value-of-adaptive-gradient-methods-in-machine-learning-1705.08292"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-and-principled-score-estimation-with-nystr-om-kernel-exponential-families-1705.08360</loc><lastmod>2021-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-and-principled-score-estimation-with-nystr-om-kernel-exponential-families-1705.08360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-and-principled-score-estimation-with-nystr-om-kernel-exponential-families-1705.08360"/></url>
<url><loc>https://scifaro.com/en/abs/exponential-error-rates-of-sdp-for-block-models-beyond-grothendieck-s-inequality-1705.08391</loc><lastmod>2017-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-error-rates-of-sdp-for-block-models-beyond-grothendieck-s-inequality-1705.08391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-error-rates-of-sdp-for-block-models-beyond-grothendieck-s-inequality-1705.08391"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-community-detection-with-line-graph-neural-networks-1705.08415</loc><lastmod>2020-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-community-detection-with-line-graph-neural-networks-1705.08415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-community-detection-with-line-graph-neural-networks-1705.08415"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-pool-based-active-learning-with-abstention-feedbacks-1705.08481</loc><lastmod>2021-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-pool-based-active-learning-with-abstention-feedbacks-1705.08481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-pool-based-active-learning-with-abstention-feedbacks-1705.08481"/></url>
<url><loc>https://scifaro.com/en/abs/safe-model-based-reinforcement-learning-with-stability-guarantees-1705.08551</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-model-based-reinforcement-learning-with-stability-guarantees-1705.08551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-model-based-reinforcement-learning-with-stability-guarantees-1705.08551"/></url>
<url><loc>https://scifaro.com/en/abs/grounded-recurrent-neural-networks-1705.08557</loc><lastmod>2017-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grounded-recurrent-neural-networks-1705.08557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grounded-recurrent-neural-networks-1705.08557"/></url>
<url><loc>https://scifaro.com/en/abs/hashing-as-tie-aware-learning-to-rank-1705.08562</loc><lastmod>2018-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hashing-as-tie-aware-learning-to-rank-1705.08562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hashing-as-tie-aware-learning-to-rank-1705.08562"/></url>
<url><loc>https://scifaro.com/en/abs/provable-estimation-of-the-number-of-blocks-in-block-models-1705.08580</loc><lastmod>2018-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-estimation-of-the-number-of-blocks-in-block-models-1705.08580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-estimation-of-the-number-of-blocks-in-block-models-1705.08580"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-learning-for-contextual-bandits-1705.08618</loc><lastmod>2017-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-learning-for-contextual-bandits-1705.08618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-learning-for-contextual-bandits-1705.08618"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-preference-completion-1705.08621</loc><lastmod>2018-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-preference-completion-1705.08621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-preference-completion-1705.08621"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-the-invertibility-of-convolutional-neural-networks-1705.08664</loc><lastmod>2017-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-the-invertibility-of-convolutional-neural-networks-1705.08664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-the-invertibility-of-convolutional-neural-networks-1705.08664"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-compression-for-deep-learning-1705.08665</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-compression-for-deep-learning-1705.08665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-compression-for-deep-learning-1705.08665"/></url>
<url><loc>https://scifaro.com/en/abs/an-experimental-study-of-graph-based-semi-supervised-classification-with-additional-node-information-1705.08716</loc><lastmod>2017-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-experimental-study-of-graph-based-semi-supervised-classification-with-additional-node-information-1705.08716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-experimental-study-of-graph-based-semi-supervised-classification-with-additional-node-information-1705.08716"/></url>
<url><loc>https://scifaro.com/en/abs/non-stationary-spectral-kernels-1705.08736</loc><lastmod>2019-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-stationary-spectral-kernels-1705.08736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-stationary-spectral-kernels-1705.08736"/></url>
<url><loc>https://scifaro.com/en/abs/train-longer-generalize-better-closing-the-generalization-gap-in-large-batch-training-of-neural-networks-1705.08741</loc><lastmod>2018-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/train-longer-generalize-better-closing-the-generalization-gap-in-large-batch-training-of-neural-networks-1705.08741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/train-longer-generalize-better-closing-the-generalization-gap-in-large-batch-training-of-neural-networks-1705.08741"/></url>
<url><loc>https://scifaro.com/en/abs/boundary-crossing-probabilities-for-general-exponential-families-1705.08814</loc><lastmod>2017-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boundary-crossing-probabilities-for-general-exponential-families-1705.08814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boundary-crossing-probabilities-for-general-exponential-families-1705.08814"/></url>
<url><loc>https://scifaro.com/en/abs/power-systems-data-fusion-based-on-belief-propagation-1705.08815</loc><lastmod>2017-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/power-systems-data-fusion-based-on-belief-propagation-1705.08815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/power-systems-data-fusion-based-on-belief-propagation-1705.08815"/></url>
<url><loc>https://scifaro.com/en/abs/causal-effect-inference-with-deep-latent-variable-models-1705.08821</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-effect-inference-with-deep-latent-variable-models-1705.08821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-effect-inference-with-deep-latent-variable-models-1705.08821"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-average-top-k-loss-1705.08826</loc><lastmod>2017-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-average-top-k-loss-1705.08826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-average-top-k-loss-1705.08826"/></url>
<url><loc>https://scifaro.com/en/abs/joint-distribution-optimal-transportation-for-domain-adaptation-1705.08848</loc><lastmod>2017-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-distribution-optimal-transportation-for-domain-adaptation-1705.08848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-distribution-optimal-transportation-for-domain-adaptation-1705.08848"/></url>
<url><loc>https://scifaro.com/en/abs/consistent-kernel-density-estimation-with-non-vanishing-bandwidth-1705.08921</loc><lastmod>2017-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-kernel-density-estimation-with-non-vanishing-bandwidth-1705.08921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-kernel-density-estimation-with-non-vanishing-bandwidth-1705.08921"/></url>
<url><loc>https://scifaro.com/en/abs/proximity-variational-inference-1705.08931</loc><lastmod>2017-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximity-variational-inference-1705.08931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximity-variational-inference-1705.08931"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-stochastic-variational-inference-for-deep-gaussian-processes-1705.08933</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-stochastic-variational-inference-for-deep-gaussian-processes-1705.08933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-stochastic-variational-inference-for-deep-gaussian-processes-1705.08933"/></url>
<url><loc>https://scifaro.com/en/abs/lat-net-compressing-lattice-boltzmann-flow-simulations-using-deep-neural-networks-1705.09036</loc><lastmod>2017-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lat-net-compressing-lattice-boltzmann-flow-simulations-using-deep-neural-networks-1705.09036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lat-net-compressing-lattice-boltzmann-flow-simulations-using-deep-neural-networks-1705.09036"/></url>
<url><loc>https://scifaro.com/en/abs/expectation-propagation-for-t-exponential-family-using-q-algebra-1705.09046</loc><lastmod>2017-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expectation-propagation-for-t-exponential-family-using-q-algebra-1705.09046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expectation-propagation-for-t-exponential-family-using-q-algebra-1705.09046"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-langevin-mcmc-in-kl-divergence-1705.09048</loc><lastmod>2017-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-langevin-mcmc-in-kl-divergence-1705.09048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-langevin-mcmc-in-kl-divergence-1705.09048"/></url>
<url><loc>https://scifaro.com/en/abs/non-parametric-estimation-of-jensen-shannon-divergence-in-generative-adversarial-network-training-1705.09199</loc><lastmod>2017-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-parametric-estimation-of-jensen-shannon-divergence-in-generative-adversarial-network-training-1705.09199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-parametric-estimation-of-jensen-shannon-divergence-in-generative-adversarial-network-training-1705.09199"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-parallel-bayesian-optimisation-via-thompson-sampling-1705.09236</loc><lastmod>2017-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-parallel-bayesian-optimisation-via-thompson-sampling-1705.09236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-parallel-bayesian-optimisation-via-thompson-sampling-1705.09236"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-regularization-in-matrix-factorization-1705.09280</loc><lastmod>2017-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-regularization-in-matrix-factorization-1705.09280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-regularization-in-matrix-factorization-1705.09280"/></url>
<url><loc>https://scifaro.com/en/abs/neural-models-for-documents-with-metadata-1705.09296</loc><lastmod>2018-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-models-for-documents-with-metadata-1705.09296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-models-for-documents-with-metadata-1705.09296"/></url>
<url><loc>https://scifaro.com/en/abs/rejection-cascade-of-gaussians-real-time-adaptive-background-subtraction-framework-1705.09339</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rejection-cascade-of-gaussians-real-time-adaptive-background-subtraction-framework-1705.09339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rejection-cascade-of-gaussians-real-time-adaptive-background-subtraction-framework-1705.09339"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-state-recurrent-neural-networks-1705.09353</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-state-recurrent-neural-networks-1705.09353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-state-recurrent-neural-networks-1705.09353"/></url>
<url><loc>https://scifaro.com/en/abs/dual-based-dsp-bidding-strategy-and-its-application-1705.09416</loc><lastmod>2017-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-based-dsp-bidding-strategy-and-its-application-1705.09416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-based-dsp-bidding-strategy-and-its-application-1705.09416"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-gan-1705.09558</loc><lastmod>2017-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-gan-1705.09558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-gan-1705.09558"/></url>
<url><loc>https://scifaro.com/en/abs/risk-sensitive-cooperative-games-for-human-machine-systems-1705.09580</loc><lastmod>2017-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-sensitive-cooperative-games-for-human-machine-systems-1705.09580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-sensitive-cooperative-games-for-human-machine-systems-1705.09580"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-metric-learning-with-deep-forest-1705.09620</loc><lastmod>2017-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-metric-learning-with-deep-forest-1705.09620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-metric-learning-with-deep-forest-1705.09620"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-concomitant-multi-task-lasso-for-sparse-multimodal-regression-1705.09778</loc><lastmod>2017-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-concomitant-multi-task-lasso-for-sparse-multimodal-regression-1705.09778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-concomitant-multi-task-lasso-for-sparse-multimodal-regression-1705.09778"/></url>
<url><loc>https://scifaro.com/en/abs/lifelong-generative-modeling-1705.09847</loc><lastmod>2020-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifelong-generative-modeling-1705.09847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifelong-generative-modeling-1705.09847"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-spatio-temporal-modeling-dynamic-traffic-flows-and-high-frequency-trading-1705.09851</loc><lastmod>2018-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-spatio-temporal-modeling-dynamic-traffic-flows-and-high-frequency-trading-1705.09851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-spatio-temporal-modeling-dynamic-traffic-flows-and-high-frequency-trading-1705.09851"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-modeling-of-latent-information-in-supervised-learning-using-gaussian-processes-1705.09862</loc><lastmod>2017-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-modeling-of-latent-information-in-supervised-learning-using-gaussian-processes-1705.09862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-modeling-of-latent-information-in-supervised-learning-using-gaussian-processes-1705.09862"/></url>
<url><loc>https://scifaro.com/en/abs/dimensionality-reduction-for-acoustic-vehicle-classification-with-spectral-embedding-1705.09869</loc><lastmod>2018-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimensionality-reduction-for-acoustic-vehicle-classification-with-spectral-embedding-1705.09869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimensionality-reduction-for-acoustic-vehicle-classification-with-spectral-embedding-1705.09869"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-sequential-treatment-allocation-1705.09952</loc><lastmod>2018-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-sequential-treatment-allocation-1705.09952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-sequential-treatment-allocation-1705.09952"/></url>
<url><loc>https://scifaro.com/en/abs/structural-conditions-for-projection-cost-preservation-via-randomized-matrix-multiplication-1705.10102</loc><lastmod>2018-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structural-conditions-for-projection-cost-preservation-via-randomized-matrix-multiplication-1705.10102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structural-conditions-for-projection-cost-preservation-via-randomized-matrix-multiplication-1705.10102"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-implicit-variational-inference-1705.10119</loc><lastmod>2018-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-implicit-variational-inference-1705.10119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-implicit-variational-inference-1705.10119"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-classification-for-prediction-under-a-budget-1705.10194</loc><lastmod>2017-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-classification-for-prediction-under-a-budget-1705.10194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-classification-for-prediction-under-a-budget-1705.10194"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-stochastic-blockmodeling-1705.10225</loc><lastmod>2023-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-stochastic-blockmodeling-1705.10225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-stochastic-blockmodeling-1705.10225"/></url>
<url><loc>https://scifaro.com/en/abs/fast-single-class-classification-and-the-principle-of-logit-separation-1705.10246</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-single-class-classification-and-the-principle-of-logit-separation-1705.10246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-single-class-classification-and-the-principle-of-logit-separation-1705.10246"/></url>
<url><loc>https://scifaro.com/en/abs/auto-encoding-sequential-monte-carlo-1705.10306</loc><lastmod>2018-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auto-encoding-sequential-monte-carlo-1705.10306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auto-encoding-sequential-monte-carlo-1705.10306"/></url>
<url><loc>https://scifaro.com/en/abs/neural-embeddings-of-graphs-in-hyperbolic-space-1705.10359</loc><lastmod>2018-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-embeddings-of-graphs-in-hyperbolic-space-1705.10359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-embeddings-of-graphs-in-hyperbolic-space-1705.10359"/></url>
<url><loc>https://scifaro.com/en/abs/fair-inference-on-outcomes-1705.10378</loc><lastmod>2018-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-inference-on-outcomes-1705.10378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-inference-on-outcomes-1705.10378"/></url>
<url><loc>https://scifaro.com/en/abs/model-selection-in-bayesian-neural-networks-via-horseshoe-priors-1705.10388</loc><lastmod>2017-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-selection-in-bayesian-neural-networks-via-horseshoe-priors-1705.10388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-selection-in-bayesian-neural-networks-via-horseshoe-priors-1705.10388"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-machine-teaching-1705.10470</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-machine-teaching-1705.10470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-machine-teaching-1705.10470"/></url>
<url><loc>https://scifaro.com/en/abs/joint-auto-encoders-a-flexible-multi-task-learning-framework-1705.10494</loc><lastmod>2026-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-auto-encoders-a-flexible-multi-task-learning-framework-1705.10494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-auto-encoders-a-flexible-multi-task-learning-framework-1705.10494"/></url>
<url><loc>https://scifaro.com/en/abs/zonotope-hit-and-run-for-efficient-sampling-from-projection-dpps-1705.10498</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zonotope-hit-and-run-for-efficient-sampling-from-projection-dpps-1705.10498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zonotope-hit-and-run-for-efficient-sampling-from-projection-dpps-1705.10498"/></url>
<url><loc>https://scifaro.com/en/abs/large-linear-multi-output-gaussian-process-learning-1705.10813</loc><lastmod>2017-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-linear-multi-output-gaussian-process-learning-1705.10813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-linear-multi-output-gaussian-process-learning-1705.10813"/></url>
<url><loc>https://scifaro.com/en/abs/dynamics-based-features-for-graph-classification-1705.10817</loc><lastmod>2017-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamics-based-features-for-graph-classification-1705.10817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamics-based-features-for-graph-classification-1705.10817"/></url>
<url><loc>https://scifaro.com/en/abs/surface-networks-1705.10819</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surface-networks-1705.10819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surface-networks-1705.10819"/></url>
<url><loc>https://scifaro.com/en/abs/objective-reinforced-generative-adversarial-networks-organ-for-sequence-generation-models-1705.10843</loc><lastmod>2018-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/objective-reinforced-generative-adversarial-networks-organ-for-sequence-generation-models-1705.10843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/objective-reinforced-generative-adversarial-networks-organ-for-sequence-generation-models-1705.10843"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-canonical-correlation-analysis-1705.10865</loc><lastmod>2017-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-canonical-correlation-analysis-1705.10865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-canonical-correlation-analysis-1705.10865"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-sparse-representation-of-manifold-distance-matrices-for-classical-scaling-1705.10887</loc><lastmod>2018-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-sparse-representation-of-manifold-distance-matrices-for-classical-scaling-1705.10887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-sparse-representation-of-manifold-distance-matrices-for-classical-scaling-1705.10887"/></url>
<url><loc>https://scifaro.com/en/abs/identification-of-gaussian-process-state-space-models-1705.10888</loc><lastmod>2017-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identification-of-gaussian-process-state-space-models-1705.10888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identification-of-gaussian-process-state-space-models-1705.10888"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-dynamic-decision-making-with-deep-neural-nets-on-a-test-time-budget-1705.10924</loc><lastmod>2017-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-dynamic-decision-making-with-deep-neural-nets-on-a-test-time-budget-1705.10924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-dynamic-decision-making-with-deep-neural-nets-on-a-test-time-budget-1705.10924"/></url>
<url><loc>https://scifaro.com/en/abs/learning-graphs-with-monotone-topology-properties-and-multiple-connected-components-1705.10934</loc><lastmod>2018-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-graphs-with-monotone-topology-properties-and-multiple-connected-components-1705.10934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-graphs-with-monotone-topology-properties-and-multiple-connected-components-1705.10934"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-norm-regularization-for-improving-the-generalizability-of-deep-learning-1705.10941</loc><lastmod>2017-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-norm-regularization-for-improving-the-generalizability-of-deep-learning-1705.10941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-norm-regularization-for-improving-the-generalizability-of-deep-learning-1705.10941"/></url>
<url><loc>https://scifaro.com/en/abs/falkon-an-optimal-large-scale-kernel-method-1705.10958</loc><lastmod>2018-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/falkon-an-optimal-large-scale-kernel-method-1705.10958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/falkon-an-optimal-large-scale-kernel-method-1705.10958"/></url>
<url><loc>https://scifaro.com/en/abs/non-markovian-control-with-gated-end-to-end-memory-policy-networks-1705.10993</loc><lastmod>2017-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-markovian-control-with-gated-end-to-end-memory-policy-networks-1705.10993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-markovian-control-with-gated-end-to-end-memory-policy-networks-1705.10993"/></url>
<url><loc>https://scifaro.com/en/abs/variational-sequential-monte-carlo-1705.11140</loc><lastmod>2018-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-sequential-monte-carlo-1705.11140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-sequential-monte-carlo-1705.11140"/></url>
<url><loc>https://scifaro.com/en/abs/lower-bounds-on-regret-for-noisy-gaussian-process-bandit-optimization-1706.00090</loc><lastmod>2018-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lower-bounds-on-regret-for-noisy-gaussian-process-bandit-optimization-1706.00090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lower-bounds-on-regret-for-noisy-gaussian-process-bandit-optimization-1706.00090"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-l-0-regularized-least-squares-1706.00098</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-l-0-regularized-least-squares-1706.00098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-l-0-regularized-least-squares-1706.00098"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-generalized-linear-bandits-online-computation-and-hashing-1706.00136</loc><lastmod>2017-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-generalized-linear-bandits-online-computation-and-hashing-1706.00136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-generalized-linear-bandits-online-computation-and-hashing-1706.00136"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-learning-with-robust-gradient-descent-1706.00182</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-learning-with-robust-gradient-descent-1706.00182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-learning-with-robust-gradient-descent-1706.00182"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-quantile-normalisation-1706.00244</loc><lastmod>2017-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-quantile-normalisation-1706.00244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-quantile-normalisation-1706.00244"/></url>
<url><loc>https://scifaro.com/en/abs/learning-generative-models-with-sinkhorn-divergences-1706.00292</loc><lastmod>2017-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-generative-models-with-sinkhorn-divergences-1706.00292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-generative-models-with-sinkhorn-divergences-1706.00292"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-k-shot-learning-using-probabilistic-models-1706.00326</loc><lastmod>2017-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-k-shot-learning-using-probabilistic-models-1706.00326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-k-shot-learning-using-probabilistic-models-1706.00326"/></url>
<url><loc>https://scifaro.com/en/abs/learning-disentangled-representations-with-semi-supervised-deep-generative-models-1706.00400</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-disentangled-representations-with-semi-supervised-deep-generative-models-1706.00400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-disentangled-representations-with-semi-supervised-deep-generative-models-1706.00400"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-a-bayesian-perspective-1706.00473</loc><lastmod>2018-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-a-bayesian-perspective-1706.00473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-a-bayesian-perspective-1706.00473"/></url>
<url><loc>https://scifaro.com/en/abs/selective-inference-for-change-point-detection-in-multi-dimensional-sequences-1706.00514</loc><lastmod>2018-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selective-inference-for-change-point-detection-in-multi-dimensional-sequences-1706.00514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selective-inference-for-change-point-detection-in-multi-dimensional-sequences-1706.00514"/></url>
<url><loc>https://scifaro.com/en/abs/bias-variance-tradeoff-of-graph-laplacian-regularizer-1706.00544</loc><lastmod>2017-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bias-variance-tradeoff-of-graph-laplacian-regularizer-1706.00544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bias-variance-tradeoff-of-graph-laplacian-regularizer-1706.00544"/></url>
<url><loc>https://scifaro.com/en/abs/wifi-based-trajectory-alignment-calibration-and-easy-site-survey-using-smart-phones-and-foot-mounted-imus-1706.00636</loc><lastmod>2017-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wifi-based-trajectory-alignment-calibration-and-easy-site-survey-using-smart-phones-and-foot-mounted-imus-1706.00636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wifi-based-trajectory-alignment-calibration-and-easy-site-survey-using-smart-phones-and-foot-mounted-imus-1706.00636"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-bayesian-inference-theoretical-limits-and-mini-batch-approximate-message-passing-1706.00705</loc><lastmod>2018-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-bayesian-inference-theoretical-limits-and-mini-batch-approximate-message-passing-1706.00705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-bayesian-inference-theoretical-limits-and-mini-batch-approximate-message-passing-1706.00705"/></url>
<url><loc>https://scifaro.com/en/abs/infiniteboost-building-infinite-ensembles-with-gradient-descent-1706.01109</loc><lastmod>2018-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infiniteboost-building-infinite-ensembles-with-gradient-descent-1706.01109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infiniteboost-building-infinite-ensembles-with-gradient-descent-1706.01109"/></url>
<url><loc>https://scifaro.com/en/abs/deep-mimo-detection-1706.01151</loc><lastmod>2017-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-mimo-detection-1706.01151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-mimo-detection-1706.01151"/></url>
<url><loc>https://scifaro.com/en/abs/graphical-nonconvex-optimization-for-optimal-estimation-in-gaussian-graphical-models-1706.01158</loc><lastmod>2017-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphical-nonconvex-optimization-for-optimal-estimation-in-gaussian-graphical-models-1706.01158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphical-nonconvex-optimization-for-optimal-estimation-in-gaussian-graphical-models-1706.01158"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-lstms-in-medicine-1706.01242</loc><lastmod>2017-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-lstms-in-medicine-1706.01242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-lstms-in-medicine-1706.01242"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-bayes-matrix-completion-1706.01252</loc><lastmod>2019-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-bayes-matrix-completion-1706.01252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-bayes-matrix-completion-1706.01252"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-learned-iterative-soft-thresholding-algorithm-with-matrix-factorization-1706.01338</loc><lastmod>2017-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-learned-iterative-soft-thresholding-algorithm-with-matrix-factorization-1706.01338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-learned-iterative-soft-thresholding-algorithm-with-matrix-factorization-1706.01338"/></url>
<url><loc>https://scifaro.com/en/abs/learning-whenever-learning-is-possible-universal-learning-under-general-stochastic-processes-1706.01418</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-whenever-learning-is-possible-universal-learning-under-general-stochastic-processes-1706.01418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-whenever-learning-is-possible-universal-learning-under-general-stochastic-processes-1706.01418"/></url>
<url><loc>https://scifaro.com/en/abs/batched-large-scale-bayesian-optimization-in-high-dimensional-spaces-1706.01445</loc><lastmod>2018-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batched-large-scale-bayesian-optimization-in-high-dimensional-spaces-1706.01445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batched-large-scale-bayesian-optimization-in-high-dimensional-spaces-1706.01445"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-monomial-gamma-sampler-1706.01498</loc><lastmod>2018-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-monomial-gamma-sampler-1706.01498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-monomial-gamma-sampler-1706.01498"/></url>
<url><loc>https://scifaro.com/en/abs/open-loop-hyperparameter-optimization-and-determinantal-point-processes-1706.01566</loc><lastmod>2019-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-loop-hyperparameter-optimization-and-determinantal-point-processes-1706.01566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-loop-hyperparameter-optimization-and-determinantal-point-processes-1706.01566"/></url>
<url><loc>https://scifaro.com/en/abs/deep-latent-dirichlet-allocation-with-topic-layer-adaptive-stochastic-gradient-riemannian-mcmc-1706.01724</loc><lastmod>2017-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-latent-dirichlet-allocation-with-topic-layer-adaptive-stochastic-gradient-riemannian-mcmc-1706.01724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-latent-dirichlet-allocation-with-topic-layer-adaptive-stochastic-gradient-riemannian-mcmc-1706.01724"/></url>
<url><loc>https://scifaro.com/en/abs/gan-and-vae-from-an-optimal-transport-point-of-view-1706.01807</loc><lastmod>2017-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gan-and-vae-from-an-optimal-transport-point-of-view-1706.01807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gan-and-vae-from-an-optimal-transport-point-of-view-1706.01807"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-and-distributed-thompson-sampling-for-large-scale-accelerated-exploration-of-chemical-space-1706.01825</loc><lastmod>2017-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-and-distributed-thompson-sampling-for-large-scale-accelerated-exploration-of-chemical-space-1706.01825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-and-distributed-thompson-sampling-for-large-scale-accelerated-exploration-of-chemical-space-1706.01825"/></url>
<url><loc>https://scifaro.com/en/abs/online-adaptive-machine-learning-based-algorithm-for-implied-volatility-surface-modeling-1706.01833</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-adaptive-machine-learning-based-algorithm-for-implied-volatility-surface-modeling-1706.01833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-adaptive-machine-learning-based-algorithm-for-implied-volatility-surface-modeling-1706.01833"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-shape-parameters-of-piecewise-linear-quadratic-problems-1706.01865</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-shape-parameters-of-piecewise-linear-quadratic-problems-1706.01865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-shape-parameters-of-piecewise-linear-quadratic-problems-1706.01865"/></url>
<url><loc>https://scifaro.com/en/abs/are-saddles-good-enough-for-deep-learning-1706.02052</loc><lastmod>2017-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-saddles-good-enough-for-deep-learning-1706.02052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-saddles-good-enough-for-deep-learning-1706.02052"/></url>
<url><loc>https://scifaro.com/en/abs/cascade-ranking-for-operational-e-commerce-search-1706.02093</loc><lastmod>2017-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cascade-ranking-for-operational-e-commerce-search-1706.02093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cascade-ranking-for-operational-e-commerce-search-1706.02093"/></url>
<url><loc>https://scifaro.com/en/abs/driver-action-prediction-using-deep-bidirectional-recurrent-neural-network-1706.02257</loc><lastmod>2018-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/driver-action-prediction-using-deep-bidirectional-recurrent-neural-network-1706.02257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/driver-action-prediction-using-deep-bidirectional-recurrent-neural-network-1706.02257"/></url>
<url><loc>https://scifaro.com/en/abs/graph-convolutional-matrix-completion-1706.02263</loc><lastmod>2017-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-convolutional-matrix-completion-1706.02263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-convolutional-matrix-completion-1706.02263"/></url>
<url><loc>https://scifaro.com/en/abs/improving-variational-auto-encoders-using-convex-combination-linear-inverse-autoregressive-flow-1706.02326</loc><lastmod>2017-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-variational-auto-encoders-using-convex-combination-linear-inverse-autoregressive-flow-1706.02326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-variational-auto-encoders-using-convex-combination-linear-inverse-autoregressive-flow-1706.02326"/></url>
<url><loc>https://scifaro.com/en/abs/a-robust-learning-algorithm-for-regression-models-using-distributionally-robust-optimization-under-the-wasserstein-metric-1706.02412</loc><lastmod>2018-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-robust-learning-algorithm-for-regression-models-using-distributionally-robust-optimization-under-the-wasserstein-metric-1706.02412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-robust-learning-algorithm-for-regression-models-using-distributionally-robust-optimization-under-the-wasserstein-metric-1706.02412"/></url>
<url><loc>https://scifaro.com/en/abs/forward-thinking-building-and-training-neural-networks-one-layer-at-a-time-1706.02480</loc><lastmod>2017-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forward-thinking-building-and-training-neural-networks-one-layer-at-a-time-1706.02480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forward-thinking-building-and-training-neural-networks-one-layer-at-a-time-1706.02480"/></url>
<url><loc>https://scifaro.com/en/abs/consistency-results-for-stationary-autoregressive-processes-with-constrained-coefficients-1706.02492</loc><lastmod>2017-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistency-results-for-stationary-autoregressive-processes-with-constrained-coefficients-1706.02492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistency-results-for-stationary-autoregressive-processes-with-constrained-coefficients-1706.02492"/></url>
<url><loc>https://scifaro.com/en/abs/the-generalized-cross-validation-filter-1706.02495</loc><lastmod>2017-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-generalized-cross-validation-filter-1706.02495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-generalized-cross-validation-filter-1706.02495"/></url>
<url><loc>https://scifaro.com/en/abs/context-encoders-as-a-simple-but-powerful-extension-of-word2vec-1706.02496</loc><lastmod>2017-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-encoders-as-a-simple-but-powerful-extension-of-word2vec-1706.02496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-encoders-as-a-simple-but-powerful-extension-of-word2vec-1706.02496"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-up-the-automatic-statistician-scalable-structure-discovery-using-gaussian-processes-1706.02524</loc><lastmod>2018-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-up-the-automatic-statistician-scalable-structure-discovery-using-gaussian-processes-1706.02524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-up-the-automatic-statistician-scalable-structure-discovery-using-gaussian-processes-1706.02524"/></url>
<url><loc>https://scifaro.com/en/abs/real-valued-medical-time-series-generation-with-recurrent-conditional-gans-1706.02633</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-valued-medical-time-series-generation-with-recurrent-conditional-gans-1706.02633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-valued-medical-time-series-generation-with-recurrent-conditional-gans-1706.02633"/></url>
<url><loc>https://scifaro.com/en/abs/avoiding-discrimination-through-causal-reasoning-1706.02744</loc><lastmod>2018-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/avoiding-discrimination-through-causal-reasoning-1706.02744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/avoiding-discrimination-through-causal-reasoning-1706.02744"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-causal-inference-approach-to-measuring-the-effects-of-forming-group-loans-in-online-non-profit-microfinance-platform-1706.02795</loc><lastmod>2017-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-causal-inference-approach-to-measuring-the-effects-of-forming-group-loans-in-online-non-profit-microfinance-platform-1706.02795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-causal-inference-approach-to-measuring-the-effects-of-forming-group-loans-in-online-non-profit-microfinance-platform-1706.02795"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-using-exponential-smoothing-cells-1706.02829</loc><lastmod>2017-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-using-exponential-smoothing-cells-1706.02829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-using-exponential-smoothing-cells-1706.02829"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-the-performance-of-deep-learning-algorithms-for-newsvendor-problem-1706.02899</loc><lastmod>2017-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-the-performance-of-deep-learning-algorithms-for-newsvendor-problem-1706.02899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-the-performance-of-deep-learning-algorithms-for-newsvendor-problem-1706.02899"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-tree-search-by-best-arm-identification-1706.02986</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-tree-search-by-best-arm-identification-1706.02986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-tree-search-by-best-arm-identification-1706.02986"/></url>
<url><loc>https://scifaro.com/en/abs/symmetry-learning-for-function-approximation-in-reinforcement-learning-1706.02999</loc><lastmod>2017-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symmetry-learning-for-function-approximation-in-reinforcement-learning-1706.02999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symmetry-learning-for-function-approximation-in-reinforcement-learning-1706.02999"/></url>
<url><loc>https://scifaro.com/en/abs/group-invariance-stability-to-deformations-and-complexity-of-deep-convolutional-representations-1706.03078</loc><lastmod>2019-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-invariance-stability-to-deformations-and-complexity-of-deep-convolutional-representations-1706.03078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-invariance-stability-to-deformations-and-complexity-of-deep-convolutional-representations-1706.03078"/></url>
<url><loc>https://scifaro.com/en/abs/an-expectation-maximization-algorithm-for-the-fractal-inverse-problem-1706.03149</loc><lastmod>2017-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-expectation-maximization-algorithm-for-the-fractal-inverse-problem-1706.03149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-expectation-maximization-algorithm-for-the-fractal-inverse-problem-1706.03149"/></url>
<url><loc>https://scifaro.com/en/abs/an-alternative-to-em-for-gaussian-mixture-models-batch-and-stochastic-riemannian-optimization-1706.03267</loc><lastmod>2018-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-alternative-to-em-for-gaussian-mixture-models-batch-and-stochastic-riemannian-optimization-1706.03267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-alternative-to-em-for-gaussian-mixture-models-batch-and-stochastic-riemannian-optimization-1706.03267"/></url>
<url><loc>https://scifaro.com/en/abs/fast-structure-learning-with-modular-regularization-1706.03353</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-structure-learning-with-modular-regularization-1706.03353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-structure-learning-with-modular-regularization-1706.03353"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-sampling-problem-for-kernel-quadrature-1706.03369</loc><lastmod>2017-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-sampling-problem-for-kernel-quadrature-1706.03369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-sampling-problem-for-kernel-quadrature-1706.03369"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-instance-dictionary-learning-for-beat-to-beat-heart-rate-monitoring-from-ballistocardiograms-1706.03373</loc><lastmod>2019-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-instance-dictionary-learning-for-beat-to-beat-heart-rate-monitoring-from-ballistocardiograms-1706.03373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-instance-dictionary-learning-for-beat-to-beat-heart-rate-monitoring-from-ballistocardiograms-1706.03373"/></url>
<url><loc>https://scifaro.com/en/abs/conformal-k-nn-anomaly-detector-for-univariate-data-streams-1706.03412</loc><lastmod>2017-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformal-k-nn-anomaly-detector-for-univariate-data-streams-1706.03412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformal-k-nn-anomaly-detector-for-univariate-data-streams-1706.03412"/></url>
<url><loc>https://scifaro.com/en/abs/inductive-conformal-martingales-for-change-point-detection-1706.03415</loc><lastmod>2017-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inductive-conformal-martingales-for-change-point-detection-1706.03415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inductive-conformal-martingales-for-change-point-detection-1706.03415"/></url>
<url><loc>https://scifaro.com/en/abs/yellowfin-and-the-art-of-momentum-tuning-1706.03471</loc><lastmod>2018-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/yellowfin-and-the-art-of-momentum-tuning-1706.03471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/yellowfin-and-the-art-of-momentum-tuning-1706.03471"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-method-for-persistence-diagrams-via-kernel-embedding-and-weight-factor-1706.03472</loc><lastmod>2017-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-method-for-persistence-diagrams-via-kernel-embedding-and-weight-factor-1706.03472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-method-for-persistence-diagrams-via-kernel-embedding-and-weight-factor-1706.03472"/></url>
<url><loc>https://scifaro.com/en/abs/random-forests-decision-trees-and-categorical-predictors-the-absent-levels-problem-1706.03492</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-forests-decision-trees-and-categorical-predictors-the-absent-levels-problem-1706.03492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-forests-decision-trees-and-categorical-predictors-the-absent-levels-problem-1706.03492"/></url>
<url><loc>https://scifaro.com/en/abs/recursive-multikernel-filters-exploiting-nonlinear-temporal-structure-1706.03533</loc><lastmod>2017-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recursive-multikernel-filters-exploiting-nonlinear-temporal-structure-1706.03533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recursive-multikernel-filters-exploiting-nonlinear-temporal-structure-1706.03533"/></url>
<url><loc>https://scifaro.com/en/abs/fast-approximate-spectral-clustering-for-dynamic-networks-1706.03591</loc><lastmod>2017-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-approximate-spectral-clustering-for-dynamic-networks-1706.03591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-approximate-spectral-clustering-for-dynamic-networks-1706.03591"/></url>
<url><loc>https://scifaro.com/en/abs/practical-gauss-newton-optimisation-for-deep-learning-1706.03662</loc><lastmod>2017-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-gauss-newton-optimisation-for-deep-learning-1706.03662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-gauss-newton-optimisation-for-deep-learning-1706.03662"/></url>
<url><loc>https://scifaro.com/en/abs/dealing-with-integer-valued-variables-in-bayesian-optimization-with-gaussian-processes-1706.03673</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dealing-with-integer-valued-variables-in-bayesian-optimization-with-gaussian-processes-1706.03673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dealing-with-integer-valued-variables-in-bayesian-optimization-with-gaussian-processes-1706.03673"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-from-human-preferences-1706.03741</loc><lastmod>2023-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-from-human-preferences-1706.03741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-from-human-preferences-1706.03741"/></url>
<url><loc>https://scifaro.com/en/abs/general-latent-feature-models-for-heterogeneous-datasets-1706.03779</loc><lastmod>2018-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/general-latent-feature-models-for-heterogeneous-datasets-1706.03779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/general-latent-feature-models-for-heterogeneous-datasets-1706.03779"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-feature-matching-for-text-generation-1706.03850</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-feature-matching-for-text-generation-1706.03850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-feature-matching-for-text-generation-1706.03850"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-clustering-via-wasserstein-means-1706.03883</loc><lastmod>2017-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-clustering-via-wasserstein-means-1706.03883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-clustering-via-wasserstein-means-1706.03883"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-the-robustness-of-nearest-neighbors-to-adversarial-examples-1706.03922</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-the-robustness-of-nearest-neighbors-to-adversarial-examples-1706.03922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-the-robustness-of-nearest-neighbors-to-adversarial-examples-1706.03922"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-detect-sepsis-with-a-multitask-gaussian-process-rnn-classifier-1706.04152</loc><lastmod>2017-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-detect-sepsis-with-a-multitask-gaussian-process-rnn-classifier-1706.04152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-detect-sepsis-with-a-multitask-gaussian-process-rnn-classifier-1706.04152"/></url>
<url><loc>https://scifaro.com/en/abs/lost-relatives-of-the-gumbel-trick-1706.04161</loc><lastmod>2017-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lost-relatives-of-the-gumbel-trick-1706.04161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lost-relatives-of-the-gumbel-trick-1706.04161"/></url>
<url><loc>https://scifaro.com/en/abs/on-optimistic-versus-randomized-exploration-in-reinforcement-learning-1706.04241</loc><lastmod>2017-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-optimistic-versus-randomized-exploration-in-reinforcement-learning-1706.04241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-optimistic-versus-randomized-exploration-in-reinforcement-learning-1706.04241"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-node-attributes-for-incomplete-relational-data-1706.04289</loc><lastmod>2017-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-node-attributes-for-incomplete-relational-data-1706.04289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-node-attributes-for-incomplete-relational-data-1706.04289"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-methods-for-efficient-large-scale-video-labeling-1706.04572</loc><lastmod>2017-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-methods-for-efficient-large-scale-video-labeling-1706.04572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-methods-for-efficient-large-scale-video-labeling-1706.04572"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-mcmc-methods-for-hidden-markov-models-1706.04632</loc><lastmod>2017-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-mcmc-methods-for-hidden-markov-models-1706.04632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-mcmc-methods-for-hidden-markov-models-1706.04632"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-training-of-neural-networks-via-successive-convex-approximations-1706.04769</loc><lastmod>2017-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-training-of-neural-networks-via-successive-convex-approximations-1706.04769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-training-of-neural-networks-via-successive-convex-approximations-1706.04769"/></url>
<url><loc>https://scifaro.com/en/abs/second-order-kernel-online-convex-optimization-with-adaptive-sketching-1706.04892</loc><lastmod>2017-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/second-order-kernel-online-convex-optimization-with-adaptive-sketching-1706.04892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/second-order-kernel-online-convex-optimization-with-adaptive-sketching-1706.04892"/></url>
<url><loc>https://scifaro.com/en/abs/robust-submodular-maximization-a-non-uniform-partitioning-approach-1706.04918</loc><lastmod>2017-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-submodular-maximization-a-non-uniform-partitioning-approach-1706.04918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-submodular-maximization-a-non-uniform-partitioning-approach-1706.04918"/></url>
<url><loc>https://scifaro.com/en/abs/freezeout-accelerate-training-by-progressively-freezing-layers-1706.04983</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/freezeout-accelerate-training-by-progressively-freezing-layers-1706.04983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/freezeout-accelerate-training-by-progressively-freezing-layers-1706.04983"/></url>
<url><loc>https://scifaro.com/en/abs/variational-approaches-for-auto-encoding-generative-adversarial-networks-1706.04987</loc><lastmod>2017-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-approaches-for-auto-encoding-generative-adversarial-networks-1706.04987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-approaches-for-auto-encoding-generative-adversarial-networks-1706.04987"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generative-models-for-relational-data-with-side-information-1706.05136</loc><lastmod>2017-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generative-models-for-relational-data-with-side-information-1706.05136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generative-models-for-relational-data-with-side-information-1706.05136"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-domain-adaptation-with-random-walks-on-target-labelings-1706.05335</loc><lastmod>2018-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-with-random-walks-on-target-labelings-1706.05335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-with-random-walks-on-target-labelings-1706.05335"/></url>
<url><loc>https://scifaro.com/en/abs/expected-policy-gradients-1706.05374</loc><lastmod>2018-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expected-policy-gradients-1706.05374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expected-policy-gradients-1706.05374"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-multi-a-rmed-b-andit-testing-with-online-fdr-control-1706.05378</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-multi-a-rmed-b-andit-testing-with-online-fdr-control-1706.05378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-multi-a-rmed-b-andit-testing-with-online-fdr-control-1706.05378"/></url>
<url><loc>https://scifaro.com/en/abs/a-closer-look-at-memorization-in-deep-networks-1706.05394</loc><lastmod>2017-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-closer-look-at-memorization-in-deep-networks-1706.05394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-closer-look-at-memorization-in-deep-networks-1706.05394"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-variational-bayes-methods-for-tweedie-compound-poisson-mixed-models-1706.05446</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-variational-bayes-methods-for-tweedie-compound-poisson-mixed-models-1706.05446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-variational-bayes-methods-for-tweedie-compound-poisson-mixed-models-1706.05446"/></url>
<url><loc>https://scifaro.com/en/abs/adiabatic-quantum-computing-for-binary-clustering-1706.05528</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adiabatic-quantum-computing-for-binary-clustering-1706.05528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adiabatic-quantum-computing-for-binary-clustering-1706.05528"/></url>
<url><loc>https://scifaro.com/en/abs/rgtsvm-support-vector-machines-on-a-gpu-in-r-1706.05544</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rgtsvm-support-vector-machines-on-a-gpu-in-r-1706.05544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rgtsvm-support-vector-machines-on-a-gpu-in-r-1706.05544"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-two-sample-hypothesis-testing-using-kernel-set-classification-1706.05612</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-two-sample-hypothesis-testing-using-kernel-set-classification-1706.05612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-two-sample-hypothesis-testing-using-kernel-set-classification-1706.05612"/></url>
<url><loc>https://scifaro.com/en/abs/dex-incremental-learning-for-complex-environments-in-deep-reinforcement-learning-1706.05749</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dex-incremental-learning-for-complex-environments-in-deep-reinforcement-learning-1706.05749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dex-incremental-learning-for-complex-environments-in-deep-reinforcement-learning-1706.05749"/></url>
<url><loc>https://scifaro.com/en/abs/an-a-priori-exponential-tail-bound-for-k-folds-cross-validation-1706.05801</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-a-priori-exponential-tail-bound-for-k-folds-cross-validation-1706.05801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-a-priori-exponential-tail-bound-for-k-folds-cross-validation-1706.05801"/></url>
<url><loc>https://scifaro.com/en/abs/svcca-singular-vector-canonical-correlation-analysis-for-deep-learning-dynamics-and-interpretability-1706.05806</loc><lastmod>2017-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/svcca-singular-vector-canonical-correlation-analysis-for-deep-learning-dynamics-and-interpretability-1706.05806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/svcca-singular-vector-canonical-correlation-analysis-for-deep-learning-dynamics-and-interpretability-1706.05806"/></url>
<url><loc>https://scifaro.com/en/abs/on-quadratic-convergence-of-dc-proximal-newton-algorithm-for-nonconvex-sparse-learning-in-high-dimensions-1706.06066</loc><lastmod>2018-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-quadratic-convergence-of-dc-proximal-newton-algorithm-for-nonconvex-sparse-learning-in-high-dimensions-1706.06066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-quadratic-convergence-of-dc-proximal-newton-algorithm-for-nonconvex-sparse-learning-in-high-dimensions-1706.06066"/></url>
<url><loc>https://scifaro.com/en/abs/towards-deep-learning-models-resistant-to-adversarial-attacks-1706.06083</loc><lastmod>2019-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-deep-learning-models-resistant-to-adversarial-attacks-1706.06083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-deep-learning-models-resistant-to-adversarial-attacks-1706.06083"/></url>
<url><loc>https://scifaro.com/en/abs/element-centric-clustering-comparison-unifies-overlaps-and-hierarchy-1706.06136</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/element-centric-clustering-comparison-unifies-overlaps-and-hierarchy-1706.06136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/element-centric-clustering-comparison-unifies-overlaps-and-hierarchy-1706.06136"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-of-resampling-and-recursive-partitioning-methods-in-random-forest-for-estimating-the-asymptotic-variance-using-the-infinitesimal-jackknife-1706.06150</loc><lastmod>2021-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-resampling-and-recursive-partitioning-methods-in-random-forest-for-estimating-the-asymptotic-variance-using-the-infinitesimal-jackknife-1706.06150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-resampling-and-recursive-partitioning-methods-in-random-forest-for-estimating-the-asymptotic-variance-using-the-infinitesimal-jackknife-1706.06150"/></url>
<url><loc>https://scifaro.com/en/abs/infinite-mixture-model-of-markov-chains-1706.06178</loc><lastmod>2017-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infinite-mixture-model-of-markov-chains-1706.06178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infinite-mixture-model-of-markov-chains-1706.06178"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-kernel-pca-using-random-features-computational-vs-statistical-trade-off-1706.06296</loc><lastmod>2022-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-kernel-pca-using-random-features-computational-vs-statistical-trade-off-1706.06296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-kernel-pca-using-random-features-computational-vs-statistical-trade-off-1706.06296"/></url>
<url><loc>https://scifaro.com/en/abs/unperturbed-spectral-analysis-beyond-davis-kahan-1706.06516</loc><lastmod>2017-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unperturbed-spectral-analysis-beyond-davis-kahan-1706.06516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unperturbed-spectral-analysis-beyond-davis-kahan-1706.06516"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-efficient-transfer-learning-with-hidden-parameter-markov-decision-processes-1706.06544</loc><lastmod>2017-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-efficient-transfer-learning-with-hidden-parameter-markov-decision-processes-1706.06544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-efficient-transfer-learning-with-hidden-parameter-markov-decision-processes-1706.06544"/></url>
<url><loc>https://scifaro.com/en/abs/chemception-a-deep-neural-network-with-minimal-chemistry-knowledge-matches-the-performance-of-expert-developed-qsar-qspr-models-1706.06689</loc><lastmod>2018-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chemception-a-deep-neural-network-with-minimal-chemistry-knowledge-matches-the-performance-of-expert-developed-qsar-qspr-models-1706.06689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chemception-a-deep-neural-network-with-minimal-chemistry-knowledge-matches-the-performance-of-expert-developed-qsar-qspr-models-1706.06689"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-predictions-of-tree-based-ensembles-via-actionable-feature-tweaking-1706.06691</loc><lastmod>2017-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-predictions-of-tree-based-ensembles-via-actionable-feature-tweaking-1706.06691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-predictions-of-tree-based-ensembles-via-actionable-feature-tweaking-1706.06691"/></url>
<url><loc>https://scifaro.com/en/abs/an-unsupervised-method-for-estimating-the-global-horizontal-irradiance-from-photovoltaic-power-measurements-1706.06878</loc><lastmod>2018-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-unsupervised-method-for-estimating-the-global-horizontal-irradiance-from-photovoltaic-power-measurements-1706.06878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-unsupervised-method-for-estimating-the-global-horizontal-irradiance-from-photovoltaic-power-measurements-1706.06878"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-mechanics-of-node-perturbation-learning-with-noisy-baseline-1706.06953</loc><lastmod>2017-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-mechanics-of-node-perturbation-learning-with-noisy-baseline-1706.06953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-mechanics-of-node-perturbation-learning-with-noisy-baseline-1706.06953"/></url>
<url><loc>https://scifaro.com/en/abs/ensembles-of-phalanxes-across-assessment-metrics-for-robust-ranking-of-homologous-proteins-1706.06971</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensembles-of-phalanxes-across-assessment-metrics-for-robust-ranking-of-homologous-proteins-1706.06971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensembles-of-phalanxes-across-assessment-metrics-for-robust-ranking-of-homologous-proteins-1706.06971"/></url>
<url><loc>https://scifaro.com/en/abs/deep-interest-network-for-click-through-rate-prediction-1706.06978</loc><lastmod>2018-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-interest-network-for-click-through-rate-prediction-1706.06978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-interest-network-for-click-through-rate-prediction-1706.06978"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-bayesian-optimization-with-noisy-experiments-1706.07094</loc><lastmod>2018-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-bayesian-optimization-with-noisy-experiments-1706.07094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-bayesian-optimization-with-noisy-experiments-1706.07094"/></url>
<url><loc>https://scifaro.com/en/abs/the-energy-landscape-of-a-simple-neural-network-1706.07101</loc><lastmod>2017-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-energy-landscape-of-a-simple-neural-network-1706.07101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-energy-landscape-of-a-simple-neural-network-1706.07101"/></url>
<url><loc>https://scifaro.com/en/abs/compressive-statistical-learning-with-random-feature-moments-1706.07180</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressive-statistical-learning-with-random-feature-moments-1706.07180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressive-statistical-learning-with-random-feature-moments-1706.07180"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-multi-class-gaussian-process-classification-using-expectation-propagation-1706.07258</loc><lastmod>2017-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-multi-class-gaussian-process-classification-using-expectation-propagation-1706.07258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-multi-class-gaussian-process-classification-using-expectation-propagation-1706.07258"/></url>
<url><loc>https://scifaro.com/en/abs/revised-note-on-learning-algorithms-for-quadratic-assignment-with-graph-neural-networks-1706.07450</loc><lastmod>2018-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revised-note-on-learning-algorithms-for-quadratic-assignment-with-graph-neural-networks-1706.07450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revised-note-on-learning-algorithms-for-quadratic-assignment-with-graph-neural-networks-1706.07450"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-with-noisy-queries-1706.07510</loc><lastmod>2017-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-with-noisy-queries-1706.07510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-with-noisy-queries-1706.07510"/></url>
<url><loc>https://scifaro.com/en/abs/a-nice-mc-adversarial-training-for-mcmc-1706.07561</loc><lastmod>2018-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-nice-mc-adversarial-training-for-mcmc-1706.07561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-nice-mc-adversarial-training-for-mcmc-1706.07561"/></url>
<url><loc>https://scifaro.com/en/abs/a-variance-maximization-criterion-for-active-learning-1706.07642</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-variance-maximization-criterion-for-active-learning-1706.07642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-variance-maximization-criterion-for-active-learning-1706.07642"/></url>
<url><loc>https://scifaro.com/en/abs/query-complexity-of-clustering-with-side-information-1706.07719</loc><lastmod>2017-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/query-complexity-of-clustering-with-side-information-1706.07719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/query-complexity-of-clustering-with-side-information-1706.07719"/></url>
<url><loc>https://scifaro.com/en/abs/cover-tree-compressed-sensing-for-fast-mr-fingerprint-recovery-1706.07834</loc><lastmod>2018-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cover-tree-compressed-sensing-for-fast-mr-fingerprint-recovery-1706.07834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cover-tree-compressed-sensing-for-fast-mr-fingerprint-recovery-1706.07834"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-deep-learning-in-fixed-topology-networks-1706.07880</loc><lastmod>2017-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-deep-learning-in-fixed-topology-networks-1706.07880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-deep-learning-in-fixed-topology-networks-1706.07880"/></url>
<url><loc>https://scifaro.com/en/abs/evolving-spatially-aggregated-features-from-satellite-imagery-for-regional-modeling-1706.07888</loc><lastmod>2017-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolving-spatially-aggregated-features-from-satellite-imagery-for-regional-modeling-1706.07888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolving-spatially-aggregated-features-from-satellite-imagery-for-regional-modeling-1706.07888"/></url>
<url><loc>https://scifaro.com/en/abs/target-contrastive-pessimistic-risk-for-robust-domain-adaptation-1706.08082</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/target-contrastive-pessimistic-risk-for-robust-domain-adaptation-1706.08082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/target-contrastive-pessimistic-risk-for-robust-domain-adaptation-1706.08082"/></url>
<url><loc>https://scifaro.com/en/abs/the-matrix-hilbert-space-and-its-application-to-matrix-learning-1706.08110</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-matrix-hilbert-space-and-its-application-to-matrix-learning-1706.08110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-matrix-hilbert-space-and-its-application-to-matrix-learning-1706.08110"/></url>
<url><loc>https://scifaro.com/en/abs/a-contemporary-overview-of-probabilistic-latent-variable-models-1706.08137</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-contemporary-overview-of-probabilistic-latent-variable-models-1706.08137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-contemporary-overview-of-probabilistic-latent-variable-models-1706.08137"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-analysis-of-stochastic-optimization-methods-using-jump-system-theory-and-quadratic-constraints-1706.08141</loc><lastmod>2017-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-analysis-of-stochastic-optimization-methods-using-jump-system-theory-and-quadratic-constraints-1706.08141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-analysis-of-stochastic-optimization-methods-using-jump-system-theory-and-quadratic-constraints-1706.08141"/></url>
<url><loc>https://scifaro.com/en/abs/faster-independent-component-analysis-by-preconditioning-with-hessian-approximations-1706.08171</loc><lastmod>2018-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-independent-component-analysis-by-preconditioning-with-hessian-approximations-1706.08171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-independent-component-analysis-by-preconditioning-with-hessian-approximations-1706.08171"/></url>
<url><loc>https://scifaro.com/en/abs/dr-vae-drug-response-variational-autoencoder-1706.08203</loc><lastmod>2017-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dr-vae-drug-response-variational-autoencoder-1706.08203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dr-vae-drug-response-variational-autoencoder-1706.08203"/></url>
<url><loc>https://scifaro.com/en/abs/an-effective-way-to-improve-youtube-8m-classification-accuracy-in-google-cloud-platform-1706.08217</loc><lastmod>2017-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-effective-way-to-improve-youtube-8m-classification-accuracy-in-google-cloud-platform-1706.08217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-effective-way-to-improve-youtube-8m-classification-accuracy-in-google-cloud-platform-1706.08217"/></url>
<url><loc>https://scifaro.com/en/abs/youtube-8m-video-understanding-challenge-approach-and-applications-1706.08222</loc><lastmod>2017-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/youtube-8m-video-understanding-challenge-approach-and-applications-1706.08222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/youtube-8m-video-understanding-challenge-approach-and-applications-1706.08222"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-manifold-and-subspace-approximations-with-spherelets-1706.08263</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-manifold-and-subspace-approximations-with-spherelets-1706.08263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-manifold-and-subspace-approximations-with-spherelets-1706.08263"/></url>
<url><loc>https://scifaro.com/en/abs/gpu-acceleration-for-large-scale-tree-boosting-1706.08359</loc><lastmod>2017-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gpu-acceleration-for-large-scale-tree-boosting-1706.08359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gpu-acceleration-for-large-scale-tree-boosting-1706.08359"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-random-forests-to-detect-predictive-and-stable-high-order-interactions-1706.08457</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-random-forests-to-detect-predictive-and-stable-high-order-interactions-1706.08457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-random-forests-to-detect-predictive-and-stable-high-order-interactions-1706.08457"/></url>
<url><loc>https://scifaro.com/en/abs/cognitive-subscore-trajectory-prediction-in-alzheimer-s-disease-1706.08491</loc><lastmod>2017-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cognitive-subscore-trajectory-prediction-in-alzheimer-s-disease-1706.08491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cognitive-subscore-trajectory-prediction-in-alzheimer-s-disease-1706.08491"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-decomposition-in-bayesian-neural-networks-with-latent-variables-1706.08495</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-decomposition-in-bayesian-neural-networks-with-latent-variables-1706.08495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-decomposition-in-bayesian-neural-networks-with-latent-variables-1706.08495"/></url>
<url><loc>https://scifaro.com/en/abs/on-conditional-parity-as-a-notion-of-non-discrimination-in-machine-learning-1706.08519</loc><lastmod>2017-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-conditional-parity-as-a-notion-of-non-discrimination-in-machine-learning-1706.08519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-conditional-parity-as-a-notion-of-non-discrimination-in-machine-learning-1706.08519"/></url>
<url><loc>https://scifaro.com/en/abs/schnet-a-continuous-filter-convolutional-neural-network-for-modeling-quantum-interactions-1706.08566</loc><lastmod>2017-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/schnet-a-continuous-filter-convolutional-neural-network-for-modeling-quantum-interactions-1706.08566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/schnet-a-continuous-filter-convolutional-neural-network-for-modeling-quantum-interactions-1706.08566"/></url>
<url><loc>https://scifaro.com/en/abs/cognitive-psychology-for-deep-neural-networks-a-shape-bias-case-study-1706.08606</loc><lastmod>2017-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cognitive-psychology-for-deep-neural-networks-a-shape-bias-case-study-1706.08606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cognitive-psychology-for-deep-neural-networks-a-shape-bias-case-study-1706.08606"/></url>
<url><loc>https://scifaro.com/en/abs/two-stage-hybrid-day-ahead-solar-forecasting-1706.08699</loc><lastmod>2017-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-stage-hybrid-day-ahead-solar-forecasting-1706.08699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-stage-hybrid-day-ahead-solar-forecasting-1706.08699"/></url>
<url><loc>https://scifaro.com/en/abs/when-neurons-fail-1706.08884</loc><lastmod>2017-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-neurons-fail-1706.08884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-neurons-fail-1706.08884"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-feature-selection-based-on-space-filling-concept-1706.08894</loc><lastmod>2017-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-feature-selection-based-on-space-filling-concept-1706.08894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-feature-selection-based-on-space-filling-concept-1706.08894"/></url>
<url><loc>https://scifaro.com/en/abs/fast-algorithms-for-learning-latent-variables-in-graphical-models-1706.08936</loc><lastmod>2017-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-algorithms-for-learning-latent-variables-in-graphical-models-1706.08936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-algorithms-for-learning-latent-variables-in-graphical-models-1706.08936"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-via-total-correlation-explanation-1706.08984</loc><lastmod>2017-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-via-total-correlation-explanation-1706.08984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-via-total-correlation-explanation-1706.08984"/></url>
<url><loc>https://scifaro.com/en/abs/an-actor-critic-contextual-bandit-algorithm-for-personalized-mobile-health-interventions-1706.09090</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-actor-critic-contextual-bandit-algorithm-for-personalized-mobile-health-interventions-1706.09090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-actor-critic-contextual-bandit-algorithm-for-personalized-mobile-health-interventions-1706.09090"/></url>
<url><loc>https://scifaro.com/en/abs/autobagging-learning-to-rank-bagging-workflows-with-metalearning-1706.09367</loc><lastmod>2017-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autobagging-learning-to-rank-bagging-workflows-with-metalearning-1706.09367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autobagging-learning-to-rank-bagging-workflows-with-metalearning-1706.09367"/></url>
<url><loc>https://scifaro.com/en/abs/recovery-of-missing-samples-using-sparse-approximation-via-a-convex-similarity-measure-1706.09395</loc><lastmod>2017-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovery-of-missing-samples-using-sparse-approximation-via-a-convex-similarity-measure-1706.09395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovery-of-missing-samples-using-sparse-approximation-via-a-convex-similarity-measure-1706.09395"/></url>
<url><loc>https://scifaro.com/en/abs/landmark-diffusion-maps-l-dmaps-accelerated-manifold-learning-out-of-sample-extension-1706.09396</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/landmark-diffusion-maps-l-dmaps-accelerated-manifold-learning-out-of-sample-extension-1706.09396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/landmark-diffusion-maps-l-dmaps-accelerated-manifold-learning-out-of-sample-extension-1706.09396"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-notions-of-sparsity-and-restricted-isometry-property-part-i-a-unified-framework-1706.09410</loc><lastmod>2017-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-notions-of-sparsity-and-restricted-isometry-property-part-i-a-unified-framework-1706.09410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-notions-of-sparsity-and-restricted-isometry-property-part-i-a-unified-framework-1706.09410"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-notions-of-sparsity-and-restricted-isometry-property-part-ii-applications-1706.09411</loc><lastmod>2017-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-notions-of-sparsity-and-restricted-isometry-property-part-ii-applications-1706.09411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-notions-of-sparsity-and-restricted-isometry-property-part-ii-applications-1706.09411"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-bank-distress-from-news-and-numerical-financial-data-1706.09627</loc><lastmod>2018-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-bank-distress-from-news-and-numerical-financial-data-1706.09627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-bank-distress-from-news-and-numerical-financial-data-1706.09627"/></url>
<url><loc>https://scifaro.com/en/abs/image-classification-using-local-tensor-singular-value-decompositions-1706.09693</loc><lastmod>2017-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/image-classification-using-local-tensor-singular-value-decompositions-1706.09693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/image-classification-using-local-tensor-singular-value-decompositions-1706.09693"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-semisupervised-learning-with-deep-generative-models-1706.09751</loc><lastmod>2017-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-semisupervised-learning-with-deep-generative-models-1706.09751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-semisupervised-learning-with-deep-generative-models-1706.09751"/></url>
<url><loc>https://scifaro.com/en/abs/feature-uncertainty-bounding-schemes-for-large-robust-nonlinear-svm-classifiers-1706.09795</loc><lastmod>2017-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-uncertainty-bounding-schemes-for-large-robust-nonlinear-svm-classifiers-1706.09795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-uncertainty-bounding-schemes-for-large-robust-nonlinear-svm-classifiers-1706.09795"/></url>
<url><loc>https://scifaro.com/en/abs/generalising-random-forest-parameter-optimisation-to-include-stability-and-cost-1706.09865</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalising-random-forest-parameter-optimisation-to-include-stability-and-cost-1706.09865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalising-random-forest-parameter-optimisation-to-include-stability-and-cost-1706.09865"/></url>
<url><loc>https://scifaro.com/en/abs/a-fixed-point-of-view-on-gradient-methods-for-big-data-1706.09880</loc><lastmod>2017-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fixed-point-of-view-on-gradient-methods-for-big-data-1706.09880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fixed-point-of-view-on-gradient-methods-for-big-data-1706.09880"/></url>
<url><loc>https://scifaro.com/en/abs/towards-bursting-filter-bubble-via-contextual-risks-and-uncertainties-1706.09985</loc><lastmod>2017-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-bursting-filter-bubble-via-contextual-risks-and-uncertainties-1706.09985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-bursting-filter-bubble-via-contextual-risks-and-uncertainties-1706.09985"/></url>
<url><loc>https://scifaro.com/en/abs/neural-sequence-model-training-via-alpha-divergence-minimization-1706.10031</loc><lastmod>2017-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-sequence-model-training-via-alpha-divergence-minimization-1706.10031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-sequence-model-training-via-alpha-divergence-minimization-1706.10031"/></url>
<url><loc>https://scifaro.com/en/abs/barankin-vector-locally-best-unbiased-estimates-1706.10062</loc><lastmod>2017-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/barankin-vector-locally-best-unbiased-estimates-1706.10062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/barankin-vector-locally-best-unbiased-estimates-1706.10062"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-methods-for-supervised-machine-learning-from-linear-models-to-deep-learning-1706.10207</loc><lastmod>2017-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-methods-for-supervised-machine-learning-from-linear-models-to-deep-learning-1706.10207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-methods-for-supervised-machine-learning-from-linear-models-to-deep-learning-1706.10207"/></url>
<url><loc>https://scifaro.com/en/abs/on-fairness-diversity-and-randomness-in-algorithmic-decision-making-1706.10208</loc><lastmod>2017-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-fairness-diversity-and-randomness-in-algorithmic-decision-making-1706.10208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-fairness-diversity-and-randomness-in-algorithmic-decision-making-1706.10208"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-active-learning-of-functions-in-structural-causal-models-1706.10234</loc><lastmod>2017-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-active-learning-of-functions-in-structural-causal-models-1706.10234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-active-learning-of-functions-in-structural-causal-models-1706.10234"/></url>
<url><loc>https://scifaro.com/en/abs/nuclear-penalized-multinomial-regression-with-an-application-to-predicting-at-bat-outcomes-in-baseball-1706.10272</loc><lastmod>2025-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nuclear-penalized-multinomial-regression-with-an-application-to-predicting-at-bat-outcomes-in-baseball-1706.10272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nuclear-penalized-multinomial-regression-with-an-application-to-predicting-at-bat-outcomes-in-baseball-1706.10272"/></url>
<url><loc>https://scifaro.com/en/abs/from-parity-to-preference-based-notions-of-fairness-in-classification-1707.00010</loc><lastmod>2017-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-parity-to-preference-based-notions-of-fairness-in-classification-1707.00010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-parity-to-preference-based-notions-of-fairness-in-classification-1707.00010"/></url>
<url><loc>https://scifaro.com/en/abs/some-methods-for-heterogeneous-treatment-effect-estimation-in-high-dimensions-1707.00102</loc><lastmod>2017-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/some-methods-for-heterogeneous-treatment-effect-estimation-in-high-dimensions-1707.00102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/some-methods-for-heterogeneous-treatment-effect-estimation-in-high-dimensions-1707.00102"/></url>
<url><loc>https://scifaro.com/en/abs/on-scalable-inference-with-stochastic-gradient-descent-1707.00192</loc><lastmod>2017-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-scalable-inference-with-stochastic-gradient-descent-1707.00192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-scalable-inference-with-stochastic-gradient-descent-1707.00192"/></url>
<url><loc>https://scifaro.com/en/abs/location-dependent-dirichlet-processes-1707.00260</loc><lastmod>2017-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/location-dependent-dirichlet-processes-1707.00260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/location-dependent-dirichlet-processes-1707.00260"/></url>
<url><loc>https://scifaro.com/en/abs/variance-regularizing-adversarial-learning-1707.00309</loc><lastmod>2018-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-regularizing-adversarial-learning-1707.00309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-regularizing-adversarial-learning-1707.00309"/></url>
<url><loc>https://scifaro.com/en/abs/deep-convolutional-framelets-a-general-deep-learning-framework-for-inverse-problems-1707.00372</loc><lastmod>2018-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-convolutional-framelets-a-general-deep-learning-framework-for-inverse-problems-1707.00372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-convolutional-framelets-a-general-deep-learning-framework-for-inverse-problems-1707.00372"/></url>
<url><loc>https://scifaro.com/en/abs/people-mover-s-distance-class-level-geometry-using-fast-pairwise-data-adaptive-transportation-costs-1707.00514</loc><lastmod>2017-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/people-mover-s-distance-class-level-geometry-using-fast-pairwise-data-adaptive-transportation-costs-1707.00514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/people-mover-s-distance-class-level-geometry-using-fast-pairwise-data-adaptive-transportation-costs-1707.00514"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-of-probability-density-functions-on-the-euclidean-group-parametrized-by-dual-quaternions-1707.00532</loc><lastmod>2017-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-of-probability-density-functions-on-the-euclidean-group-parametrized-by-dual-quaternions-1707.00532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-of-probability-density-functions-on-the-euclidean-group-parametrized-by-dual-quaternions-1707.00532"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-properties-of-doubly-stochastic-learning-algorithms-1707.00577</loc><lastmod>2018-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-properties-of-doubly-stochastic-learning-algorithms-1707.00577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-properties-of-doubly-stochastic-learning-algorithms-1707.00577"/></url>
<url><loc>https://scifaro.com/en/abs/regression-phalanxes-1707.00727</loc><lastmod>2017-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regression-phalanxes-1707.00727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regression-phalanxes-1707.00727"/></url>
<url><loc>https://scifaro.com/en/abs/multiscale-sequence-modeling-with-a-learned-dictionary-1707.00762</loc><lastmod>2017-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiscale-sequence-modeling-with-a-learned-dictionary-1707.00762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiscale-sequence-modeling-with-a-learned-dictionary-1707.00762"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-avoid-errors-in-gans-by-manipulating-input-spaces-1707.00768</loc><lastmod>2017-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-avoid-errors-in-gans-by-manipulating-input-spaces-1707.00768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-avoid-errors-in-gans-by-manipulating-input-spaces-1707.00768"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-energy-models-contrastive-divergence-vs-amortized-mle-1707.00797</loc><lastmod>2017-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-energy-models-contrastive-divergence-vs-amortized-mle-1707.00797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-energy-models-contrastive-divergence-vs-amortized-mle-1707.00797"/></url>
<url><loc>https://scifaro.com/en/abs/causal-consistency-of-structural-equation-models-1707.00819</loc><lastmod>2020-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-consistency-of-structural-equation-models-1707.00819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-consistency-of-structural-equation-models-1707.00819"/></url>
<url><loc>https://scifaro.com/en/abs/structured-black-box-variational-inference-for-latent-time-series-models-1707.01069</loc><lastmod>2017-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-black-box-variational-inference-for-latent-time-series-models-1707.01069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-black-box-variational-inference-for-latent-time-series-models-1707.01069"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-feature-selection-via-conditional-covariance-minimization-1707.01164</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-feature-selection-via-conditional-covariance-minimization-1707.01164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-feature-selection-via-conditional-covariance-minimization-1707.01164"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-data-representation-by-selecting-prototypes-with-importance-weights-1707.01212</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-data-representation-by-selecting-prototypes-with-importance-weights-1707.01212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-data-representation-by-selecting-prototypes-with-importance-weights-1707.01212"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-distance-guided-representation-learning-for-domain-adaptation-1707.01217</loc><lastmod>2018-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-distance-guided-representation-learning-for-domain-adaptation-1707.01217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-distance-guided-representation-learning-for-domain-adaptation-1707.01217"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-tests-for-effects-on-multiple-outcomes-1707.01473</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-tests-for-effects-on-multiple-outcomes-1707.01473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-tests-for-effects-on-multiple-outcomes-1707.01473"/></url>
<url><loc>https://scifaro.com/en/abs/early-stopping-for-kernel-boosting-algorithms-a-general-analysis-with-localized-complexities-1707.01543</loc><lastmod>2018-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-stopping-for-kernel-boosting-algorithms-a-general-analysis-with-localized-complexities-1707.01543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-stopping-for-kernel-boosting-algorithms-a-general-analysis-with-localized-complexities-1707.01543"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-analysis-of-optimization-algorithms-1707.01647</loc><lastmod>2017-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-analysis-of-optimization-algorithms-1707.01647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-analysis-of-optimization-algorithms-1707.01647"/></url>
<url><loc>https://scifaro.com/en/abs/mode-seeking-clustering-and-density-ridge-estimation-via-direct-estimation-of-density-derivative-ratios-1707.01711</loc><lastmod>2018-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mode-seeking-clustering-and-density-ridge-estimation-via-direct-estimation-of-density-derivative-ratios-1707.01711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mode-seeking-clustering-and-density-ridge-estimation-via-direct-estimation-of-density-derivative-ratios-1707.01711"/></url>
<url><loc>https://scifaro.com/en/abs/exhaustive-search-for-sparse-variable-selection-in-linear-regression-1707.02050</loc><lastmod>2018-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exhaustive-search-for-sparse-variable-selection-in-linear-regression-1707.02050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exhaustive-search-for-sparse-variable-selection-in-linear-regression-1707.02050"/></url>
<url><loc>https://scifaro.com/en/abs/deep-character-level-click-through-rate-prediction-for-sponsored-search-1707.02158</loc><lastmod>2017-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-character-level-click-through-rate-prediction-for-sponsored-search-1707.02158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-character-level-click-through-rate-prediction-for-sponsored-search-1707.02158"/></url>
<url><loc>https://scifaro.com/en/abs/a-case-study-of-empirical-bayes-in-user-movie-recommendation-system-1707.02294</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-case-study-of-empirical-bayes-in-user-movie-recommendation-system-1707.02294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-case-study-of-empirical-bayes-in-user-movie-recommendation-system-1707.02294"/></url>
<url><loc>https://scifaro.com/en/abs/deep-semantic-segmentation-for-automated-driving-taxonomy-roadmap-and-challenges-1707.02432</loc><lastmod>2017-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-semantic-segmentation-for-automated-driving-taxonomy-roadmap-and-challenges-1707.02432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-semantic-segmentation-for-automated-driving-taxonomy-roadmap-and-challenges-1707.02432"/></url>
<url><loc>https://scifaro.com/en/abs/subspace-clustering-with-missing-and-corrupted-data-1707.02461</loc><lastmod>2018-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subspace-clustering-with-missing-and-corrupted-data-1707.02461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subspace-clustering-with-missing-and-corrupted-data-1707.02461"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-examples-uncertainty-and-transfer-testing-robustness-in-gaussian-process-hybrid-deep-networks-1707.02476</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-examples-uncertainty-and-transfer-testing-robustness-in-gaussian-process-hybrid-deep-networks-1707.02476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-examples-uncertainty-and-transfer-testing-robustness-in-gaussian-process-hybrid-deep-networks-1707.02476"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-via-transformations-on-distributions-1707.02510</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-via-transformations-on-distributions-1707.02510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-via-transformations-on-distributions-1707.02510"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-sequential-accepts-and-rejects-for-identification-of-top-arms-in-stochastic-bandits-1707.02649</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-sequential-accepts-and-rejects-for-identification-of-top-arms-in-stochastic-bandits-1707.02649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-sequential-accepts-and-rejects-for-identification-of-top-arms-in-stochastic-bandits-1707.02649"/></url>
<url><loc>https://scifaro.com/en/abs/topology-reduction-in-deep-convolutional-feature-extraction-networks-1707.02711</loc><lastmod>2018-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topology-reduction-in-deep-convolutional-feature-extraction-networks-1707.02711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topology-reduction-in-deep-convolutional-feature-extraction-networks-1707.02711"/></url>
<url><loc>https://scifaro.com/en/abs/residual-value-forecasting-using-asymmetric-cost-functions-1707.02736</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/residual-value-forecasting-using-asymmetric-cost-functions-1707.02736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/residual-value-forecasting-using-asymmetric-cost-functions-1707.02736"/></url>
<url><loc>https://scifaro.com/en/abs/block-modelling-in-dynamic-networks-with-non-homogeneous-poisson-processes-and-exact-icl-1707.02780</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/block-modelling-in-dynamic-networks-with-non-homogeneous-poisson-processes-and-exact-icl-1707.02780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/block-modelling-in-dynamic-networks-with-non-homogeneous-poisson-processes-and-exact-icl-1707.02780"/></url>
<url><loc>https://scifaro.com/en/abs/low-dose-ct-image-reconstruction-with-learned-sparsifying-transform-1707.02914</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-dose-ct-image-reconstruction-with-learned-sparsifying-transform-1707.02914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-dose-ct-image-reconstruction-with-learned-sparsifying-transform-1707.02914"/></url>
<url><loc>https://scifaro.com/en/abs/an-interactive-greedy-approach-to-group-sparsity-in-high-dimensions-1707.02963</loc><lastmod>2018-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-interactive-greedy-approach-to-group-sparsity-in-high-dimensions-1707.02963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-interactive-greedy-approach-to-group-sparsity-in-high-dimensions-1707.02963"/></url>
<url><loc>https://scifaro.com/en/abs/tick-a-python-library-for-statistical-learning-with-a-particular-emphasis-on-time-dependent-modelling-1707.03003</loc><lastmod>2018-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tick-a-python-library-for-statistical-learning-with-a-particular-emphasis-on-time-dependent-modelling-1707.03003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tick-a-python-library-for-statistical-learning-with-a-particular-emphasis-on-time-dependent-modelling-1707.03003"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-inference-of-the-drift-of-a-high-dimensional-ornstein-uhlenbeck-process-1707.03010</loc><lastmod>2017-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-inference-of-the-drift-of-a-high-dimensional-ornstein-uhlenbeck-process-1707.03010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-inference-of-the-drift-of-a-high-dimensional-ornstein-uhlenbeck-process-1707.03010"/></url>
<url><loc>https://scifaro.com/en/abs/least-square-variational-bayesian-autoencoder-with-regularization-1707.03134</loc><lastmod>2017-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/least-square-variational-bayesian-autoencoder-with-regularization-1707.03134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/least-square-variational-bayesian-autoencoder-with-regularization-1707.03134"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-architecture-for-temporal-sleep-stage-classification-using-multivariate-and-multimodal-time-series-1707.03321</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-architecture-for-temporal-sleep-stage-classification-using-multivariate-and-multimodal-time-series-1707.03321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-architecture-for-temporal-sleep-stage-classification-using-multivariate-and-multimodal-time-series-1707.03321"/></url>
<url><loc>https://scifaro.com/en/abs/a-step-towards-procedural-terrain-generation-with-gans-1707.03383</loc><lastmod>2017-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-step-towards-procedural-terrain-generation-with-gans-1707.03383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-step-towards-procedural-terrain-generation-with-gans-1707.03383"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-communication-over-the-air-1707.03384</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-communication-over-the-air-1707.03384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-communication-over-the-air-1707.03384"/></url>
<url><loc>https://scifaro.com/en/abs/deepcodec-adaptive-sensing-and-recovery-via-deep-convolutional-neural-networks-1707.03386</loc><lastmod>2017-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepcodec-adaptive-sensing-and-recovery-via-deep-convolutional-neural-networks-1707.03386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepcodec-adaptive-sensing-and-recovery-via-deep-convolutional-neural-networks-1707.03386"/></url>
<url><loc>https://scifaro.com/en/abs/scan-learning-hierarchical-compositional-visual-concepts-1707.03389</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scan-learning-hierarchical-compositional-visual-concepts-1707.03389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scan-learning-hierarchical-compositional-visual-concepts-1707.03389"/></url>
<url><loc>https://scifaro.com/en/abs/initialising-kernel-adaptive-filters-via-probabilistic-inference-1707.03450</loc><lastmod>2017-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/initialising-kernel-adaptive-filters-via-probabilistic-inference-1707.03450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/initialising-kernel-adaptive-filters-via-probabilistic-inference-1707.03450"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-robust-nonparametric-learning-of-hidden-community-properties-1707.03494</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-robust-nonparametric-learning-of-hidden-community-properties-1707.03494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-robust-nonparametric-learning-of-hidden-community-properties-1707.03494"/></url>
<url><loc>https://scifaro.com/en/abs/a-cluster-elastic-net-for-multivariate-regression-1707.03530</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-cluster-elastic-net-for-multivariate-regression-1707.03530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-cluster-elastic-net-for-multivariate-regression-1707.03530"/></url>
<url><loc>https://scifaro.com/en/abs/an-introduction-to-the-practical-and-theoretical-aspects-of-mixture-of-experts-modeling-1707.03538</loc><lastmod>2017-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-introduction-to-the-practical-and-theoretical-aspects-of-mixture-of-experts-modeling-1707.03538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-introduction-to-the-practical-and-theoretical-aspects-of-mixture-of-experts-modeling-1707.03538"/></url>
<url><loc>https://scifaro.com/en/abs/underdamped-langevin-mcmc-a-non-asymptotic-analysis-1707.03663</loc><lastmod>2018-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/underdamped-langevin-mcmc-a-non-asymptotic-analysis-1707.03663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/underdamped-langevin-mcmc-a-non-asymptotic-analysis-1707.03663"/></url>
<url><loc>https://scifaro.com/en/abs/deep-gaussian-embedding-of-graphs-unsupervised-inductive-learning-via-ranking-1707.03815</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-gaussian-embedding-of-graphs-unsupervised-inductive-learning-via-ranking-1707.03815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-gaussian-embedding-of-graphs-unsupervised-inductive-learning-via-ranking-1707.03815"/></url>
<url><loc>https://scifaro.com/en/abs/influence-of-resampling-on-accuracy-of-imbalanced-classification-1707.03905</loc><lastmod>2017-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/influence-of-resampling-on-accuracy-of-imbalanced-classification-1707.03905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/influence-of-resampling-on-accuracy-of-imbalanced-classification-1707.03905"/></url>
<url><loc>https://scifaro.com/en/abs/model-selection-for-anomaly-detection-1707.03909</loc><lastmod>2017-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-selection-for-anomaly-detection-1707.03909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-selection-for-anomaly-detection-1707.03909"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-variable-fidelity-surrogate-modeling-1707.03916</loc><lastmod>2017-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-variable-fidelity-surrogate-modeling-1707.03916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-variable-fidelity-surrogate-modeling-1707.03916"/></url>
<url><loc>https://scifaro.com/en/abs/kafnets-kernel-based-non-parametric-activation-functions-for-neural-networks-1707.04035</loc><lastmod>2017-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kafnets-kernel-based-non-parametric-activation-functions-for-neural-networks-1707.04035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kafnets-kernel-based-non-parametric-activation-functions-for-neural-networks-1707.04035"/></url>
<url><loc>https://scifaro.com/en/abs/automation-of-feature-engineering-for-iot-analytics-1707.04067</loc><lastmod>2017-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automation-of-feature-engineering-for-iot-analytics-1707.04067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automation-of-feature-engineering-for-iot-analytics-1707.04067"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-ambiguous-optimization-techniques-for-batch-bayesian-optimization-1707.04191</loc><lastmod>2018-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-ambiguous-optimization-techniques-for-batch-bayesian-optimization-1707.04191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-ambiguous-optimization-techniques-for-batch-bayesian-optimization-1707.04191"/></url>
<url><loc>https://scifaro.com/en/abs/improving-sparsity-in-kernel-adaptive-filters-using-a-unit-norm-dictionary-1707.04236</loc><lastmod>2017-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-sparsity-in-kernel-adaptive-filters-using-a-unit-norm-dictionary-1707.04236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-sparsity-in-kernel-adaptive-filters-using-a-unit-norm-dictionary-1707.04236"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-for-probabilistic-programs-1707.04314</loc><lastmod>2017-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-for-probabilistic-programs-1707.04314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-for-probabilistic-programs-1707.04314"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-method-for-detecting-higher-order-interactions-in-multi-view-data-an-application-to-imaging-genetics-and-epigenetics-1707.04368</loc><lastmod>2017-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-method-for-detecting-higher-order-interactions-in-multi-view-data-an-application-to-imaging-genetics-and-epigenetics-1707.04368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-method-for-detecting-higher-order-interactions-in-multi-view-data-an-application-to-imaging-genetics-and-epigenetics-1707.04368"/></url>
<url><loc>https://scifaro.com/en/abs/variational-approach-for-learning-markov-processes-from-time-series-data-1707.04659</loc><lastmod>2019-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-approach-for-learning-markov-processes-from-time-series-data-1707.04659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-approach-for-learning-markov-processes-from-time-series-data-1707.04659"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-performance-of-forecasting-models-in-the-presence-of-input-uncertainty-1707.04692</loc><lastmod>2017-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-performance-of-forecasting-models-in-the-presence-of-input-uncertainty-1707.04692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-performance-of-forecasting-models-in-the-presence-of-input-uncertainty-1707.04692"/></url>
<url><loc>https://scifaro.com/en/abs/comparative-study-of-inference-methods-for-bayesian-nonnegative-matrix-factorisation-1707.05147</loc><lastmod>2017-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparative-study-of-inference-methods-for-bayesian-nonnegative-matrix-factorisation-1707.05147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparative-study-of-inference-methods-for-bayesian-nonnegative-matrix-factorisation-1707.05147"/></url>
<url><loc>https://scifaro.com/en/abs/current-mode-memristor-crossbars-for-neuromemristive-systems-1707.05316</loc><lastmod>2017-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/current-mode-memristor-crossbars-for-neuromemristive-systems-1707.05316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/current-mode-memristor-crossbars-for-neuromemristive-systems-1707.05316"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimal-unrestricted-learning-procedure-1707.05342</loc><lastmod>2018-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimal-unrestricted-learning-procedure-1707.05342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimal-unrestricted-learning-procedure-1707.05342"/></url>
<url><loc>https://scifaro.com/en/abs/houdini-fooling-deep-structured-prediction-models-1707.05373</loc><lastmod>2017-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/houdini-fooling-deep-structured-prediction-models-1707.05373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/houdini-fooling-deep-structured-prediction-models-1707.05373"/></url>
<url><loc>https://scifaro.com/en/abs/deepprobe-information-directed-sequence-understanding-and-chatbot-design-via-recurrent-neural-networks-1707.05470</loc><lastmod>2018-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepprobe-information-directed-sequence-understanding-and-chatbot-design-via-recurrent-neural-networks-1707.05470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepprobe-information-directed-sequence-understanding-and-chatbot-design-via-recurrent-neural-networks-1707.05470"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-nonlinear-support-vector-machines-for-big-data-1707.05532</loc><lastmod>2018-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-nonlinear-support-vector-machines-for-big-data-1707.05532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-nonlinear-support-vector-machines-for-big-data-1707.05532"/></url>
<url><loc>https://scifaro.com/en/abs/latent-gaussian-process-regression-1707.05534</loc><lastmod>2017-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-gaussian-process-regression-1707.05534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-gaussian-process-regression-1707.05534"/></url>
<url><loc>https://scifaro.com/en/abs/one-shot-learning-in-discriminative-neural-networks-1707.05562</loc><lastmod>2017-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-shot-learning-in-discriminative-neural-networks-1707.05562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-shot-learning-in-discriminative-neural-networks-1707.05562"/></url>
<url><loc>https://scifaro.com/en/abs/solving-ell-p-norm-regularization-with-tensor-kernels-1707.05609</loc><lastmod>2017-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-ell-p-norm-regularization-with-tensor-kernels-1707.05609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-ell-p-norm-regularization-with-tensor-kernels-1707.05609"/></url>
<url><loc>https://scifaro.com/en/abs/an-iterative-bp-cnn-architecture-for-channel-decoding-1707.05697</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-iterative-bp-cnn-architecture-for-channel-decoding-1707.05697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-iterative-bp-cnn-architecture-for-channel-decoding-1707.05697"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayes-and-domain-adaptation-1707.05712</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayes-and-domain-adaptation-1707.05712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayes-and-domain-adaptation-1707.05712"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-the-latent-space-of-generative-networks-1707.05776</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-the-latent-space-of-generative-networks-1707.05776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-the-latent-space-of-generative-networks-1707.05776"/></url>
<url><loc>https://scifaro.com/en/abs/improving-gibbs-sampler-scan-quality-with-dogs-1707.05807</loc><lastmod>2017-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-gibbs-sampler-scan-quality-with-dogs-1707.05807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-gibbs-sampler-scan-quality-with-dogs-1707.05807"/></url>
<url><loc>https://scifaro.com/en/abs/multiscale-residual-mixture-of-pca-dynamic-dictionaries-for-optimal-basis-learning-1707.05840</loc><lastmod>2017-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiscale-residual-mixture-of-pca-dynamic-dictionaries-for-optimal-basis-learning-1707.05840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiscale-residual-mixture-of-pca-dynamic-dictionaries-for-optimal-basis-learning-1707.05840"/></url>
<url><loc>https://scifaro.com/en/abs/linear-time-complexity-deep-fourier-scattering-network-and-extension-to-nonlinear-invariants-1707.05841</loc><lastmod>2017-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-time-complexity-deep-fourier-scattering-network-and-extension-to-nonlinear-invariants-1707.05841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-time-complexity-deep-fourier-scattering-network-and-extension-to-nonlinear-invariants-1707.05841"/></url>
<url><loc>https://scifaro.com/en/abs/recovering-latent-signals-from-a-mixture-of-measurements-using-a-gaussian-process-prior-1707.05909</loc><lastmod>2017-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovering-latent-signals-from-a-mixture-of-measurements-using-a-gaussian-process-prior-1707.05909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovering-latent-signals-from-a-mixture-of-measurements-using-a-gaussian-process-prior-1707.05909"/></url>
<url><loc>https://scifaro.com/en/abs/improving-output-uncertainty-estimation-and-generalization-in-deep-learning-via-neural-network-gaussian-processes-1707.05922</loc><lastmod>2017-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-output-uncertainty-estimation-and-generalization-in-deep-learning-via-neural-network-gaussian-processes-1707.05922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-output-uncertainty-estimation-and-generalization-in-deep-learning-via-neural-network-gaussian-processes-1707.05922"/></url>
<url><loc>https://scifaro.com/en/abs/non-asymptotic-uniform-rates-of-consistency-for-k-nn-regression-1707.06261</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-asymptotic-uniform-rates-of-consistency-for-k-nn-regression-1707.06261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-asymptotic-uniform-rates-of-consistency-for-k-nn-regression-1707.06261"/></url>
<url><loc>https://scifaro.com/en/abs/flame-a-fast-large-scale-almost-matching-exactly-approach-to-causal-inference-1707.06315</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flame-a-fast-large-scale-almost-matching-exactly-approach-to-causal-inference-1707.06315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flame-a-fast-large-scale-almost-matching-exactly-approach-to-causal-inference-1707.06315"/></url>
<url><loc>https://scifaro.com/en/abs/rkl-a-general-invariant-bayes-solution-for-neyman-scott-1707.06366</loc><lastmod>2017-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rkl-a-general-invariant-bayes-solution-for-neyman-scott-1707.06366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rkl-a-general-invariant-bayes-solution-for-neyman-scott-1707.06366"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-the-gap-between-constant-step-size-stochastic-gradient-descent-and-markov-chains-1707.06386</loc><lastmod>2018-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-the-gap-between-constant-step-size-stochastic-gradient-descent-and-markov-chains-1707.06386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-the-gap-between-constant-step-size-stochastic-gradient-descent-and-markov-chains-1707.06386"/></url>
<url><loc>https://scifaro.com/en/abs/attribution-modeling-increases-efficiency-of-bidding-in-display-advertising-1707.06409</loc><lastmod>2017-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attribution-modeling-increases-efficiency-of-bidding-in-display-advertising-1707.06409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attribution-modeling-increases-efficiency-of-bidding-in-display-advertising-1707.06409"/></url>
<url><loc>https://scifaro.com/en/abs/a-nonlinear-kernel-support-matrix-machine-for-matrix-learning-1707.06487</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-nonlinear-kernel-support-matrix-machine-for-matrix-learning-1707.06487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-nonlinear-kernel-support-matrix-machine-for-matrix-learning-1707.06487"/></url>
<url><loc>https://scifaro.com/en/abs/discretization-free-knowledge-gradient-methods-for-bayesian-optimization-1707.06541</loc><lastmod>2017-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discretization-free-knowledge-gradient-methods-for-bayesian-optimization-1707.06541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discretization-free-knowledge-gradient-methods-for-bayesian-optimization-1707.06541"/></url>
<url><loc>https://scifaro.com/en/abs/structural-learning-and-integrative-decomposition-of-multi-view-data-1707.06573</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structural-learning-and-integrative-decomposition-of-multi-view-data-1707.06573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structural-learning-and-integrative-decomposition-of-multi-view-data-1707.06573"/></url>
<url><loc>https://scifaro.com/en/abs/prolongation-of-smap-to-spatio-temporally-seamless-coverage-of-continental-us-using-a-deep-learning-neural-network-1707.06611</loc><lastmod>2017-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prolongation-of-smap-to-spatio-temporally-seamless-coverage-of-continental-us-using-a-deep-learning-neural-network-1707.06611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prolongation-of-smap-to-spatio-temporally-seamless-coverage-of-continental-us-using-a-deep-learning-neural-network-1707.06611"/></url>
<url><loc>https://scifaro.com/en/abs/global-convergence-of-langevin-dynamics-based-algorithms-for-nonconvex-optimization-1707.06618</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-convergence-of-langevin-dynamics-based-algorithms-for-nonconvex-optimization-1707.06618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-convergence-of-langevin-dynamics-based-algorithms-for-nonconvex-optimization-1707.06618"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-draw-samples-with-amortized-stein-variational-gradient-descent-1707.06626</loc><lastmod>2017-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-draw-samples-with-amortized-stein-variational-gradient-descent-1707.06626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-draw-samples-with-amortized-stein-variational-gradient-descent-1707.06626"/></url>
<url><loc>https://scifaro.com/en/abs/resting-state-fmri-functional-connectivity-based-classification-using-a-convolutional-neural-network-architecture-1707.06682</loc><lastmod>2017-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resting-state-fmri-functional-connectivity-based-classification-using-a-convolutional-neural-network-architecture-1707.06682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resting-state-fmri-functional-connectivity-based-classification-using-a-convolutional-neural-network-architecture-1707.06682"/></url>
<url><loc>https://scifaro.com/en/abs/an-infinite-hidden-markov-model-with-similarity-biased-transitions-1707.06756</loc><lastmod>2017-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-infinite-hidden-markov-model-with-similarity-biased-transitions-1707.06756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-infinite-hidden-markov-model-with-similarity-biased-transitions-1707.06756"/></url>
<url><loc>https://scifaro.com/en/abs/a-nonlinear-dimensionality-reduction-framework-using-smooth-geodesics-1707.06757</loc><lastmod>2018-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-nonlinear-dimensionality-reduction-framework-using-smooth-geodesics-1707.06757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-nonlinear-dimensionality-reduction-framework-using-smooth-geodesics-1707.06757"/></url>
<url><loc>https://scifaro.com/en/abs/graphical-posterior-predictive-classifier-bayesian-model-averaging-with-particle-gibbs-1707.06792</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphical-posterior-predictive-classifier-bayesian-model-averaging-with-particle-gibbs-1707.06792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphical-posterior-predictive-classifier-bayesian-model-averaging-with-particle-gibbs-1707.06792"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-family-of-near-metrics-for-universal-similarity-1707.06903</loc><lastmod>2017-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-family-of-near-metrics-for-universal-similarity-1707.06903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-family-of-near-metrics-for-universal-similarity-1707.06903"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-variational-optimization-of-non-differentiable-simulators-1707.07113</loc><lastmod>2020-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-variational-optimization-of-non-differentiable-simulators-1707.07113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-variational-optimization-of-non-differentiable-simulators-1707.07113"/></url>
<url><loc>https://scifaro.com/en/abs/a-signature-based-machine-learning-model-for-bipolar-disorder-and-borderline-personality-disorder-1707.07124</loc><lastmod>2019-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-signature-based-machine-learning-model-for-bipolar-disorder-and-borderline-personality-disorder-1707.07124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-signature-based-machine-learning-model-for-bipolar-disorder-and-borderline-personality-disorder-1707.07124"/></url>
<url><loc>https://scifaro.com/en/abs/sketched-subspace-clustering-1707.07196</loc><lastmod>2018-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sketched-subspace-clustering-1707.07196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sketched-subspace-clustering-1707.07196"/></url>
<url><loc>https://scifaro.com/en/abs/pairing-an-arbitrary-regressor-with-an-artificial-neural-network-estimating-aleatoric-uncertainty-1707.07287</loc><lastmod>2018-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pairing-an-arbitrary-regressor-with-an-artificial-neural-network-estimating-aleatoric-uncertainty-1707.07287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pairing-an-arbitrary-regressor-with-an-artificial-neural-network-estimating-aleatoric-uncertainty-1707.07287"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-constrained-training-for-semi-supervised-mixture-and-topic-models-1707.07341</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-constrained-training-for-semi-supervised-mixture-and-topic-models-1707.07341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-constrained-training-for-semi-supervised-mixture-and-topic-models-1707.07341"/></url>
<url><loc>https://scifaro.com/en/abs/big-data-regression-using-tree-based-segmentation-1707.07409</loc><lastmod>2017-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/big-data-regression-using-tree-based-segmentation-1707.07409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/big-data-regression-using-tree-based-segmentation-1707.07409"/></url>
<url><loc>https://scifaro.com/en/abs/health-analytics-a-systematic-review-of-approaches-to-detect-phenotype-cohorts-using-electronic-health-records-1707.07425</loc><lastmod>2017-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/health-analytics-a-systematic-review-of-approaches-to-detect-phenotype-cohorts-using-electronic-health-records-1707.07425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/health-analytics-a-systematic-review-of-approaches-to-detect-phenotype-cohorts-using-electronic-health-records-1707.07425"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-outliers-in-crowdsourced-ranking-for-qoe-1707.07539</loc><lastmod>2017-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-outliers-in-crowdsourced-ranking-for-qoe-1707.07539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-outliers-in-crowdsourced-ranking-for-qoe-1707.07539"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-classifiers-through-attribute-interactions-in-datasets-1707.07576</loc><lastmod>2017-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-classifiers-through-attribute-interactions-in-datasets-1707.07576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-classifiers-through-attribute-interactions-in-datasets-1707.07576"/></url>
<url><loc>https://scifaro.com/en/abs/copy-the-dynamics-using-a-learning-machine-1707.07637</loc><lastmod>2022-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/copy-the-dynamics-using-a-learning-machine-1707.07637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/copy-the-dynamics-using-a-learning-machine-1707.07637"/></url>
<url><loc>https://scifaro.com/en/abs/per-instance-differential-privacy-1707.07708</loc><lastmod>2018-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/per-instance-differential-privacy-1707.07708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/per-instance-differential-privacy-1707.07708"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-descent-for-relational-logistic-regression-via-partial-network-crawls-1707.07716</loc><lastmod>2017-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-descent-for-relational-logistic-regression-via-partial-network-crawls-1707.07716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-descent-for-relational-logistic-regression-via-partial-network-crawls-1707.07716"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-aggregators-for-relational-probabilistic-models-1707.07785</loc><lastmod>2017-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-aggregators-for-relational-probabilistic-models-1707.07785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-aggregators-for-relational-probabilistic-models-1707.07785"/></url>
<url><loc>https://scifaro.com/en/abs/concept-drift-detection-and-adaptation-with-hierarchical-hypothesis-testing-1707.07821</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concept-drift-detection-and-adaptation-with-hierarchical-hypothesis-testing-1707.07821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concept-drift-detection-and-adaptation-with-hierarchical-hypothesis-testing-1707.07821"/></url>
<url><loc>https://scifaro.com/en/abs/linear-discriminant-generative-adversarial-networks-1707.07831</loc><lastmod>2017-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-discriminant-generative-adversarial-networks-1707.07831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-discriminant-generative-adversarial-networks-1707.07831"/></url>
<url><loc>https://scifaro.com/en/abs/error-bounds-for-piecewise-smooth-and-switching-regression-1707.07938</loc><lastmod>2018-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-bounds-for-piecewise-smooth-and-switching-regression-1707.07938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-bounds-for-piecewise-smooth-and-switching-regression-1707.07938"/></url>
<url><loc>https://scifaro.com/en/abs/scaled-nuclear-norm-minimization-for-low-rank-tensor-completion-1707.07976</loc><lastmod>2017-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaled-nuclear-norm-minimization-for-low-rank-tensor-completion-1707.07976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaled-nuclear-norm-minimization-for-low-rank-tensor-completion-1707.07976"/></url>
<url><loc>https://scifaro.com/en/abs/towards-evolutional-compression-1707.08005</loc><lastmod>2017-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-evolutional-compression-1707.08005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-evolutional-compression-1707.08005"/></url>
<url><loc>https://scifaro.com/en/abs/restricted-eigenvalue-from-stable-rank-with-applications-to-sparse-linear-regression-1707.08092</loc><lastmod>2018-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/restricted-eigenvalue-from-stable-rank-with-applications-to-sparse-linear-regression-1707.08092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/restricted-eigenvalue-from-stable-rank-with-applications-to-sparse-linear-regression-1707.08092"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-robustness-of-a-neural-network-1707.08167</loc><lastmod>2017-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-robustness-of-a-neural-network-1707.08167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-robustness-of-a-neural-network-1707.08167"/></url>
<url><loc>https://scifaro.com/en/abs/general-latent-feature-modeling-for-data-exploration-tasks-1707.08352</loc><lastmod>2017-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/general-latent-feature-modeling-for-data-exploration-tasks-1707.08352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/general-latent-feature-modeling-for-data-exploration-tasks-1707.08352"/></url>
<url><loc>https://scifaro.com/en/abs/context-independent-polyphonic-piano-onset-transcription-with-an-infinite-training-dataset-1707.08438</loc><lastmod>2017-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-independent-polyphonic-piano-onset-transcription-with-an-infinite-training-dataset-1707.08438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-independent-polyphonic-piano-onset-transcription-with-an-infinite-training-dataset-1707.08438"/></url>
<url><loc>https://scifaro.com/en/abs/darla-improving-zero-shot-transfer-in-reinforcement-learning-1707.08475</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/darla-improving-zero-shot-transfer-in-reinforcement-learning-1707.08475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/darla-improving-zero-shot-transfer-in-reinforcement-learning-1707.08475"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-clustering-algorithms-via-small-variance-analysis-of-markov-chain-mixture-models-1707.08493</loc><lastmod>2017-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-clustering-algorithms-via-small-variance-analysis-of-markov-chain-mixture-models-1707.08493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-clustering-algorithms-via-small-variance-analysis-of-markov-chain-mixture-models-1707.08493"/></url>
<url><loc>https://scifaro.com/en/abs/signal-and-noise-statistics-oblivious-sparse-reconstruction-using-omp-ols-1707.08712</loc><lastmod>2017-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/signal-and-noise-statistics-oblivious-sparse-reconstruction-using-omp-ols-1707.08712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/signal-and-noise-statistics-oblivious-sparse-reconstruction-using-omp-ols-1707.08712"/></url>
<url><loc>https://scifaro.com/en/abs/max-k-armed-bandit-on-the-extremehunter-algorithm-and-beyond-1707.08820</loc><lastmod>2017-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/max-k-armed-bandit-on-the-extremehunter-algorithm-and-beyond-1707.08820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/max-k-armed-bandit-on-the-extremehunter-algorithm-and-beyond-1707.08820"/></url>
<url><loc>https://scifaro.com/en/abs/variational-online-learning-of-neural-dynamics-1707.09049</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-online-learning-of-neural-dynamics-1707.09049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-online-learning-of-neural-dynamics-1707.09049"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-learning-from-bandit-feedback-under-deterministic-logging-a-case-study-in-statistical-machine-translation-1707.09118</loc><lastmod>2017-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-learning-from-bandit-feedback-under-deterministic-logging-a-case-study-in-statistical-machine-translation-1707.09118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-learning-from-bandit-feedback-under-deterministic-logging-a-case-study-in-statistical-machine-translation-1707.09118"/></url>
<url><loc>https://scifaro.com/en/abs/generator-reversal-1707.09241</loc><lastmod>2017-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generator-reversal-1707.09241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generator-reversal-1707.09241"/></url>
<url><loc>https://scifaro.com/en/abs/human-in-the-loop-interactive-passive-automata-learning-via-evidence-driven-state-merging-algorithms-1707.09430</loc><lastmod>2017-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-in-the-loop-interactive-passive-automata-learning-via-evidence-driven-state-merging-algorithms-1707.09430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-in-the-loop-interactive-passive-automata-learning-via-evidence-driven-state-merging-algorithms-1707.09430"/></url>
<url><loc>https://scifaro.com/en/abs/orthogonal-recurrent-neural-networks-with-scaled-cayley-transform-1707.09520</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthogonal-recurrent-neural-networks-with-scaled-cayley-transform-1707.09520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthogonal-recurrent-neural-networks-with-scaled-cayley-transform-1707.09520"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalized-multivariate-student-t-mixture-model-for-bayesian-classification-and-clustering-of-radar-waveforms-1707.09548</loc><lastmod>2017-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalized-multivariate-student-t-mixture-model-for-bayesian-classification-and-clustering-of-radar-waveforms-1707.09548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalized-multivariate-student-t-mixture-model-for-bayesian-classification-and-clustering-of-radar-waveforms-1707.09548"/></url>
<url><loc>https://scifaro.com/en/abs/consistent-nonparametric-different-feature-selection-via-the-sparsest-k-subgraph-problem-1707.09688</loc><lastmod>2017-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-nonparametric-different-feature-selection-via-the-sparsest-k-subgraph-problem-1707.09688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-nonparametric-different-feature-selection-via-the-sparsest-k-subgraph-problem-1707.09688"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-with-label-noise-1707.09724</loc><lastmod>2018-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-with-label-noise-1707.09724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-with-label-noise-1707.09724"/></url>
<url><loc>https://scifaro.com/en/abs/taming-non-stationary-bandits-a-bayesian-approach-1707.09727</loc><lastmod>2017-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taming-non-stationary-bandits-a-bayesian-approach-1707.09727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taming-non-stationary-bandits-a-bayesian-approach-1707.09727"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-by-robust-statistics-1707.09752</loc><lastmod>2021-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-by-robust-statistics-1707.09752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-by-robust-statistics-1707.09752"/></url>
<url><loc>https://scifaro.com/en/abs/review-of-machine-learning-algorithms-in-differential-expression-analysis-1707.09837</loc><lastmod>2017-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/review-of-machine-learning-algorithms-in-differential-expression-analysis-1707.09837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/review-of-machine-learning-algorithms-in-differential-expression-analysis-1707.09837"/></url>
<url><loc>https://scifaro.com/en/abs/deep-convolutional-framelet-denosing-for-low-dose-ct-via-wavelet-residual-network-1707.09938</loc><lastmod>2018-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-convolutional-framelet-denosing-for-low-dose-ct-via-wavelet-residual-network-1707.09938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-convolutional-framelet-denosing-for-low-dose-ct-via-wavelet-residual-network-1707.09938"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-method-and-regularized-mle-are-both-optimal-for-top-k-ranking-1707.09971</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-method-and-regularized-mle-are-both-optimal-for-top-k-ranking-1707.09971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-method-and-regularized-mle-are-both-optimal-for-top-k-ranking-1707.09971"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-active-learning-1708.00049</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-active-learning-1708.00049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-active-learning-1708.00049"/></url>
<url><loc>https://scifaro.com/en/abs/learning-robust-representations-for-computer-vision-1708.00069</loc><lastmod>2017-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-robust-representations-for-computer-vision-1708.00069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-robust-representations-for-computer-vision-1708.00069"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-sparsification-of-recurrent-neural-networks-1708.00077</loc><lastmod>2017-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-sparsification-of-recurrent-neural-networks-1708.00077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-sparsification-of-recurrent-neural-networks-1708.00077"/></url>
<url><loc>https://scifaro.com/en/abs/retrofitting-distributional-embeddings-to-knowledge-graphs-with-functional-relations-1708.00112</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/retrofitting-distributional-embeddings-to-knowledge-graphs-with-functional-relations-1708.00112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/retrofitting-distributional-embeddings-to-knowledge-graphs-with-functional-relations-1708.00112"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-support-vector-machine-modeling-and-graph-theory-metrics-for-disease-classification-1708.00122</loc><lastmod>2017-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-support-vector-machine-modeling-and-graph-theory-metrics-for-disease-classification-1708.00122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-support-vector-machine-modeling-and-graph-theory-metrics-for-disease-classification-1708.00122"/></url>
<url><loc>https://scifaro.com/en/abs/on-tensor-train-rank-minimization-statistical-efficiency-and-scalable-algorithm-1708.00132</loc><lastmod>2017-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-tensor-train-rank-minimization-statistical-efficiency-and-scalable-algorithm-1708.00132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-tensor-train-rank-minimization-statistical-efficiency-and-scalable-algorithm-1708.00132"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-machine-learning-for-hematological-diagnosis-1708.00253</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-machine-learning-for-hematological-diagnosis-1708.00253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-machine-learning-for-hematological-diagnosis-1708.00253"/></url>
<url><loc>https://scifaro.com/en/abs/robust-pca-by-manifold-optimization-1708.00257</loc><lastmod>2017-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-pca-by-manifold-optimization-1708.00257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-pca-by-manifold-optimization-1708.00257"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-convolutional-neural-networks-a-core-set-approach-1708.00489</loc><lastmod>2018-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-convolutional-neural-networks-a-core-set-approach-1708.00489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-convolutional-neural-networks-a-core-set-approach-1708.00489"/></url>
<url><loc>https://scifaro.com/en/abs/using-millions-of-emoji-occurrences-to-learn-any-domain-representations-for-detecting-sentiment-emotion-and-sarcasm-1708.00524</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-millions-of-emoji-occurrences-to-learn-any-domain-representations-for-detecting-sentiment-emotion-and-sarcasm-1708.00524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-millions-of-emoji-occurrences-to-learn-any-domain-representations-for-detecting-sentiment-emotion-and-sarcasm-1708.00524"/></url>
<url><loc>https://scifaro.com/en/abs/elfi-engine-for-likelihood-free-inference-1708.00707</loc><lastmod>2018-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elfi-engine-for-likelihood-free-inference-1708.00707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elfi-engine-for-likelihood-free-inference-1708.00707"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-kernel-regression-with-provably-adaptive-mean-variance-and-regularization-1708.00768</loc><lastmod>2017-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-kernel-regression-with-provably-adaptive-mean-variance-and-regularization-1708.00768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-kernel-regression-with-provably-adaptive-mean-variance-and-regularization-1708.00768"/></url>
<url><loc>https://scifaro.com/en/abs/multi-planar-deep-segmentation-networks-for-cardiac-substructures-from-mri-and-ct-1708.00983</loc><lastmod>2017-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-planar-deep-segmentation-networks-for-cardiac-substructures-from-mri-and-ct-1708.00983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-planar-deep-segmentation-networks-for-cardiac-substructures-from-mri-and-ct-1708.00983"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-techniques-for-outer-loop-link-adaptation-in-4g-5g-systems-1708.00994</loc><lastmod>2017-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-techniques-for-outer-loop-link-adaptation-in-4g-5g-systems-1708.00994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-techniques-for-outer-loop-link-adaptation-in-4g-5g-systems-1708.00994"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-early-signs-of-depressive-and-manic-episodes-in-patients-with-bipolar-disorder-using-the-signature-based-model-1708.01206</loc><lastmod>2017-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-early-signs-of-depressive-and-manic-episodes-in-patients-with-bipolar-disorder-using-the-signature-based-model-1708.01206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-early-signs-of-depressive-and-manic-episodes-in-patients-with-bipolar-disorder-using-the-signature-based-model-1708.01206"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-weighted-stochastic-block-models-1708.01432</loc><lastmod>2018-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-weighted-stochastic-block-models-1708.01432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-weighted-stochastic-block-models-1708.01432"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-distances-for-supervised-segmentation-of-white-matter-tractography-1708.01440</loc><lastmod>2017-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-distances-for-supervised-segmentation-of-white-matter-tractography-1708.01440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-distances-for-supervised-segmentation-of-white-matter-tractography-1708.01440"/></url>
<url><loc>https://scifaro.com/en/abs/learning-model-reparametrizations-implicit-variational-inference-by-fitting-mcmc-distributions-1708.01529</loc><lastmod>2017-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-model-reparametrizations-implicit-variational-inference-by-fitting-mcmc-distributions-1708.01529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-model-reparametrizations-implicit-variational-inference-by-fitting-mcmc-distributions-1708.01529"/></url>
<url><loc>https://scifaro.com/en/abs/a-network-approach-to-topic-models-1708.01677</loc><lastmod>2018-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-network-approach-to-topic-models-1708.01677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-network-approach-to-topic-models-1708.01677"/></url>
<url><loc>https://scifaro.com/en/abs/training-deep-autoencoders-for-collaborative-filtering-1708.01715</loc><lastmod>2017-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-deep-autoencoders-for-collaborative-filtering-1708.01715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-deep-autoencoders-for-collaborative-filtering-1708.01715"/></url>
<url><loc>https://scifaro.com/en/abs/parametrization-and-generation-of-geological-models-with-generative-adversarial-networks-1708.01810</loc><lastmod>2019-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parametrization-and-generation-of-geological-models-with-generative-adversarial-networks-1708.01810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parametrization-and-generation-of-geological-models-with-generative-adversarial-networks-1708.01810"/></url>
<url><loc>https://scifaro.com/en/abs/a-bootstrap-method-for-error-estimation-in-randomized-matrix-multiplication-1708.01945</loc><lastmod>2019-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bootstrap-method-for-error-estimation-in-randomized-matrix-multiplication-1708.01945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bootstrap-method-for-error-estimation-in-randomized-matrix-multiplication-1708.01945"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-low-dimensional-regression-via-data-adaptive-smoothing-1708.01947</loc><lastmod>2017-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-low-dimensional-regression-via-data-adaptive-smoothing-1708.01947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-low-dimensional-regression-via-data-adaptive-smoothing-1708.01947"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-dictionary-learning-optimal-transport-based-unsupervised-non-linear-dictionary-learning-1708.01955</loc><lastmod>2018-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-dictionary-learning-optimal-transport-based-unsupervised-non-linear-dictionary-learning-1708.01955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-dictionary-learning-optimal-transport-based-unsupervised-non-linear-dictionary-learning-1708.01955"/></url>
<url><loc>https://scifaro.com/en/abs/why-adaptively-collected-data-have-negative-bias-and-how-to-correct-for-it-1708.01977</loc><lastmod>2018-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-adaptively-collected-data-have-negative-bias-and-how-to-correct-for-it-1708.01977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-adaptively-collected-data-have-negative-bias-and-how-to-correct-for-it-1708.01977"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-3-moss-species-by-deep-learning-using-the-chopped-picture-method-1708.01986</loc><lastmod>2017-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-3-moss-species-by-deep-learning-using-the-chopped-picture-method-1708.01986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-3-moss-species-by-deep-learning-using-the-chopped-picture-method-1708.01986"/></url>
<url><loc>https://scifaro.com/en/abs/knn-ensembles-for-tweedie-regression-the-power-of-multiscale-neighborhoods-1708.02122</loc><lastmod>2017-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knn-ensembles-for-tweedie-regression-the-power-of-multiscale-neighborhoods-1708.02122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knn-ensembles-for-tweedie-regression-the-power-of-multiscale-neighborhoods-1708.02122"/></url>
<url><loc>https://scifaro.com/en/abs/multiresolution-kernel-approximation-for-gaussian-process-regression-1708.02183</loc><lastmod>2018-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiresolution-kernel-approximation-for-gaussian-process-regression-1708.02183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiresolution-kernel-approximation-for-gaussian-process-regression-1708.02183"/></url>
<url><loc>https://scifaro.com/en/abs/cascade-adversarial-machine-learning-regularized-with-a-unified-embedding-1708.02582</loc><lastmod>2018-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cascade-adversarial-machine-learning-regularized-with-a-unified-embedding-1708.02582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cascade-adversarial-machine-learning-regularized-with-a-unified-embedding-1708.02582"/></url>
<url><loc>https://scifaro.com/en/abs/multilayer-spectral-graph-clustering-via-convex-layer-aggregation-theory-and-algorithms-1708.02620</loc><lastmod>2017-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilayer-spectral-graph-clustering-via-convex-layer-aggregation-theory-and-algorithms-1708.02620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilayer-spectral-graph-clustering-via-convex-layer-aggregation-theory-and-algorithms-1708.02620"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-in-multivariate-non-stationary-time-series-for-automatic-dbms-diagnosis-1708.02635</loc><lastmod>2018-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-in-multivariate-non-stationary-time-series-for-automatic-dbms-diagnosis-1708.02635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-in-multivariate-non-stationary-time-series-for-automatic-dbms-diagnosis-1708.02635"/></url>
<url><loc>https://scifaro.com/en/abs/proceedings-of-the-2017-icml-workshop-on-human-interpretability-in-machine-learning-whi-2017-1708.02666</loc><lastmod>2017-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proceedings-of-the-2017-icml-workshop-on-human-interpretability-in-machine-learning-whi-2017-1708.02666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proceedings-of-the-2017-icml-workshop-on-human-interpretability-in-machine-learning-whi-2017-1708.02666"/></url>
<url><loc>https://scifaro.com/en/abs/universal-function-approximation-by-deep-neural-nets-with-bounded-width-and-relu-activations-1708.02691</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-function-approximation-by-deep-neural-nets-with-bounded-width-and-relu-activations-1708.02691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-function-approximation-by-deep-neural-nets-with-bounded-width-and-relu-activations-1708.02691"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-volume-inscribed-ellipsoid-a-new-simplex-structured-matrix-factorization-framework-via-facet-enumeration-and-convex-optimization-1708.02883</loc><lastmod>2018-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-volume-inscribed-ellipsoid-a-new-simplex-structured-matrix-factorization-framework-via-facet-enumeration-and-convex-optimization-1708.02883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-volume-inscribed-ellipsoid-a-new-simplex-structured-matrix-factorization-framework-via-facet-enumeration-and-convex-optimization-1708.02883"/></url>
<url><loc>https://scifaro.com/en/abs/demixing-structured-superposition-signals-from-periodic-and-aperiodic-nonlinear-observations-1708.02999</loc><lastmod>2017-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demixing-structured-superposition-signals-from-periodic-and-aperiodic-nonlinear-observations-1708.02999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demixing-structured-superposition-signals-from-periodic-and-aperiodic-nonlinear-observations-1708.02999"/></url>
<url><loc>https://scifaro.com/en/abs/non-stationary-stochastic-optimization-under-l-p-q-variation-measures-1708.03020</loc><lastmod>2018-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-stationary-stochastic-optimization-under-l-p-q-variation-measures-1708.03020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-stationary-stochastic-optimization-under-l-p-q-variation-measures-1708.03020"/></url>
<url><loc>https://scifaro.com/en/abs/using-deep-neural-networks-to-automate-large-scale-statistical-analysis-for-big-data-applications-1708.03027</loc><lastmod>2017-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-deep-neural-networks-to-automate-large-scale-statistical-analysis-for-big-data-applications-1708.03027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-deep-neural-networks-to-automate-large-scale-statistical-analysis-for-big-data-applications-1708.03027"/></url>
<url><loc>https://scifaro.com/en/abs/improved-fixed-rank-nystr-om-approximation-via-qr-decomposition-practical-and-theoretical-aspects-1708.03218</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-fixed-rank-nystr-om-approximation-via-qr-decomposition-practical-and-theoretical-aspects-1708.03218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-fixed-rank-nystr-om-approximation-via-qr-decomposition-practical-and-theoretical-aspects-1708.03218"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-anomaly-detection-detection-of-anomalous-drops-with-limited-features-and-sparse-examples-in-noisy-highly-periodic-data-1708.03665</loc><lastmod>2017-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-anomaly-detection-detection-of-anomalous-drops-with-limited-features-and-sparse-examples-in-noisy-highly-periodic-data-1708.03665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-anomaly-detection-detection-of-anomalous-drops-with-limited-features-and-sparse-examples-in-noisy-highly-periodic-data-1708.03665"/></url>
<url><loc>https://scifaro.com/en/abs/deep-incremental-boosting-1708.03704</loc><lastmod>2017-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-incremental-boosting-1708.03704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-incremental-boosting-1708.03704"/></url>
<url><loc>https://scifaro.com/en/abs/openml-benchmarking-suites-1708.03731</loc><lastmod>2023-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/openml-benchmarking-suites-1708.03731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/openml-benchmarking-suites-1708.03731"/></url>
<url><loc>https://scifaro.com/en/abs/mahalanonbis-distance-informed-by-clustering-1708.03914</loc><lastmod>2017-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mahalanonbis-distance-informed-by-clustering-1708.03914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mahalanonbis-distance-informed-by-clustering-1708.03914"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-of-ensemble-supervised-learning-algorithms-for-increased-sensitivity-specificity-and-auc-of-population-based-colorectal-cancer-screenings-1708.03951</loc><lastmod>2017-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-of-ensemble-supervised-learning-algorithms-for-increased-sensitivity-specificity-and-auc-of-population-based-colorectal-cancer-screenings-1708.03951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-of-ensemble-supervised-learning-algorithms-for-increased-sensitivity-specificity-and-auc-of-population-based-colorectal-cancer-screenings-1708.03951"/></url>
<url><loc>https://scifaro.com/en/abs/zoo-zeroth-order-optimization-based-black-box-attacks-to-deep-neural-networks-without-training-substitute-models-1708.03999</loc><lastmod>2017-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zoo-zeroth-order-optimization-based-black-box-attacks-to-deep-neural-networks-without-training-substitute-models-1708.03999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zoo-zeroth-order-optimization-based-black-box-attacks-to-deep-neural-networks-without-training-substitute-models-1708.03999"/></url>
<url><loc>https://scifaro.com/en/abs/rocket-launching-a-universal-and-efficient-framework-for-training-well-performing-light-net-1708.04106</loc><lastmod>2018-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rocket-launching-a-universal-and-efficient-framework-for-training-well-performing-light-net-1708.04106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rocket-launching-a-universal-and-efficient-framework-for-training-well-performing-light-net-1708.04106"/></url>
<url><loc>https://scifaro.com/en/abs/encoding-multi-resolution-brain-networks-using-unsupervised-deep-learning-1708.04232</loc><lastmod>2017-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/encoding-multi-resolution-brain-networks-using-unsupervised-deep-learning-1708.04232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/encoding-multi-resolution-brain-networks-using-unsupervised-deep-learning-1708.04232"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-filtering-using-denoising-auto-encoders-for-market-basket-data-1708.04312</loc><lastmod>2017-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-filtering-using-denoising-auto-encoders-for-market-basket-data-1708.04312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-filtering-using-denoising-auto-encoders-for-market-basket-data-1708.04312"/></url>
<url><loc>https://scifaro.com/en/abs/actively-learning-what-makes-a-discrete-sequence-valid-1708.04465</loc><lastmod>2017-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/actively-learning-what-makes-a-discrete-sequence-valid-1708.04465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/actively-learning-what-makes-a-discrete-sequence-valid-1708.04465"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-joint-models-for-reliable-uncertainty-aware-event-prediction-1708.04757</loc><lastmod>2017-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-joint-models-for-reliable-uncertainty-aware-event-prediction-1708.04757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-joint-models-for-reliable-uncertainty-aware-event-prediction-1708.04757"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-alarms-for-vehicular-collision-detection-1708.04922</loc><lastmod>2017-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-alarms-for-vehicular-collision-detection-1708.04922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-alarms-for-vehicular-collision-detection-1708.04922"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-threshold-sampling-1708.04970</loc><lastmod>2022-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-threshold-sampling-1708.04970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-threshold-sampling-1708.04970"/></url>
<url><loc>https://scifaro.com/en/abs/training-image-based-geostatistical-inversion-using-a-spatial-generative-adversarial-neural-network-1708.04975</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-image-based-geostatistical-inversion-using-a-spatial-generative-adversarial-neural-network-1708.04975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-image-based-geostatistical-inversion-using-a-spatial-generative-adversarial-neural-network-1708.04975"/></url>
<url><loc>https://scifaro.com/en/abs/an-ensemble-quadratic-echo-state-network-for-nonlinear-spatio-temporal-forecasting-1708.05094</loc><lastmod>2017-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-ensemble-quadratic-echo-state-network-for-nonlinear-spatio-temporal-forecasting-1708.05094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-ensemble-quadratic-echo-state-network-for-nonlinear-spatio-temporal-forecasting-1708.05094"/></url>
<url><loc>https://scifaro.com/en/abs/towards-life-cycle-identification-of-malaria-parasites-using-machine-learning-and-riemannian-geometry-1708.05200</loc><lastmod>2017-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-life-cycle-identification-of-malaria-parasites-using-machine-learning-and-riemannian-geometry-1708.05200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-life-cycle-identification-of-malaria-parasites-using-machine-learning-and-riemannian-geometry-1708.05200"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-clustering-using-kernel-density-estimators-1708.05254</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-clustering-using-kernel-density-estimators-1708.05254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-clustering-using-kernel-density-estimators-1708.05254"/></url>
<url><loc>https://scifaro.com/en/abs/auxiliary-variables-for-multi-dirichlet-priors-1708.05257</loc><lastmod>2017-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auxiliary-variables-for-multi-dirichlet-priors-1708.05257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auxiliary-variables-for-multi-dirichlet-priors-1708.05257"/></url>
<url><loc>https://scifaro.com/en/abs/comprehensive-feature-based-landscape-analysis-of-continuous-and-constrained-optimization-problems-using-the-r-package-flacco-1708.05258</loc><lastmod>2017-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comprehensive-feature-based-landscape-analysis-of-continuous-and-constrained-optimization-problems-using-the-r-package-flacco-1708.05258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comprehensive-feature-based-landscape-analysis-of-continuous-and-constrained-optimization-problems-using-the-r-package-flacco-1708.05258"/></url>
<url><loc>https://scifaro.com/en/abs/debiased-distributed-learning-for-sparse-partial-linear-models-in-high-dimensions-1708.05487</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/debiased-distributed-learning-for-sparse-partial-linear-models-in-high-dimensions-1708.05487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/debiased-distributed-learning-for-sparse-partial-linear-models-in-high-dimensions-1708.05487"/></url>
<url><loc>https://scifaro.com/en/abs/two-provably-consistent-divide-and-conquer-clustering-algorithms-for-large-networks-1708.05573</loc><lastmod>2017-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-provably-consistent-divide-and-conquer-clustering-algorithms-for-large-networks-1708.05573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-provably-consistent-divide-and-conquer-clustering-algorithms-for-large-networks-1708.05573"/></url>
<url><loc>https://scifaro.com/en/abs/extensions-of-morse-smale-regression-with-application-to-actuarial-science-1708.05712</loc><lastmod>2017-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extensions-of-morse-smale-regression-with-application-to-actuarial-science-1708.05712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extensions-of-morse-smale-regression-with-application-to-actuarial-science-1708.05712"/></url>
<url><loc>https://scifaro.com/en/abs/the-stochastic-replica-approach-to-machine-learning-stability-and-parameter-optimization-1708.05715</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-stochastic-replica-approach-to-machine-learning-stability-and-parameter-optimization-1708.05715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-stochastic-replica-approach-to-machine-learning-stability-and-parameter-optimization-1708.05715"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-tree-transforms-and-metrics-1708.05768</loc><lastmod>2017-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-tree-transforms-and-metrics-1708.05768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-tree-transforms-and-metrics-1708.05768"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-conditional-gans-1708.05789</loc><lastmod>2017-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-conditional-gans-1708.05789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-conditional-gans-1708.05789"/></url>
<url><loc>https://scifaro.com/en/abs/a-data-and-model-parallel-distributed-and-scalable-framework-for-training-of-deep-networks-in-apache-spark-1708.05840</loc><lastmod>2017-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-data-and-model-parallel-distributed-and-scalable-framework-for-training-of-deep-networks-in-apache-spark-1708.05840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-data-and-model-parallel-distributed-and-scalable-framework-for-training-of-deep-networks-in-apache-spark-1708.05840"/></url>
<url><loc>https://scifaro.com/en/abs/an-improved-multi-output-gaussian-process-rnn-with-real-time-validation-for-early-sepsis-detection-1708.05894</loc><lastmod>2017-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improved-multi-output-gaussian-process-rnn-with-real-time-validation-for-early-sepsis-detection-1708.05894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improved-multi-output-gaussian-process-rnn-with-real-time-validation-for-early-sepsis-detection-1708.05894"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-kernel-classifiers-through-borders-mapping-1708.05917</loc><lastmod>2023-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-kernel-classifiers-through-borders-mapping-1708.05917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-kernel-classifiers-through-borders-mapping-1708.05917"/></url>
<url><loc>https://scifaro.com/en/abs/fundamental-limits-of-weak-recovery-with-applications-to-phase-retrieval-1708.05932</loc><lastmod>2018-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fundamental-limits-of-weak-recovery-with-applications-to-phase-retrieval-1708.05932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fundamental-limits-of-weak-recovery-with-applications-to-phase-retrieval-1708.05932"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-compression-for-language-modeling-1708.05963</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-compression-for-language-modeling-1708.05963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-compression-for-language-modeling-1708.05963"/></url>
<url><loc>https://scifaro.com/en/abs/deep-convolutional-neural-networks-for-massive-mimo-fingerprint-based-positioning-1708.06235</loc><lastmod>2017-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-convolutional-neural-networks-for-massive-mimo-fingerprint-based-positioning-1708.06235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-convolutional-neural-networks-for-massive-mimo-fingerprint-based-positioning-1708.06235"/></url>
<url><loc>https://scifaro.com/en/abs/deep-vs-diverse-architectures-for-classification-problems-1708.06347</loc><lastmod>2017-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-vs-diverse-architectures-for-classification-problems-1708.06347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-vs-diverse-architectures-for-classification-problems-1708.06347"/></url>
<url><loc>https://scifaro.com/en/abs/a-tutorial-on-hawkes-processes-for-events-in-social-media-1708.06401</loc><lastmod>2017-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tutorial-on-hawkes-processes-for-events-in-social-media-1708.06401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tutorial-on-hawkes-processes-for-events-in-social-media-1708.06401"/></url>
<url><loc>https://scifaro.com/en/abs/sum-product-graphical-models-1708.06438</loc><lastmod>2017-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sum-product-graphical-models-1708.06438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sum-product-graphical-models-1708.06438"/></url>
<url><loc>https://scifaro.com/en/abs/learning-combinations-of-sigmoids-through-gradient-estimation-1708.06678</loc><lastmod>2018-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-combinations-of-sigmoids-through-gradient-estimation-1708.06678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-combinations-of-sigmoids-through-gradient-estimation-1708.06678"/></url>
<url><loc>https://scifaro.com/en/abs/human-experts-vs-machines-in-taxa-recognition-1708.06899</loc><lastmod>2022-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-experts-vs-machines-in-taxa-recognition-1708.06899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-experts-vs-machines-in-taxa-recognition-1708.06899"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-multinomial-dirichlet-model-for-the-estimation-of-conditional-probability-tables-1708.06935</loc><lastmod>2020-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-multinomial-dirichlet-model-for-the-estimation-of-conditional-probability-tables-1708.06935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-multinomial-dirichlet-model-for-the-estimation-of-conditional-probability-tables-1708.06935"/></url>
<url><loc>https://scifaro.com/en/abs/applications-of-trajectory-data-from-the-perspective-of-a-road-transportation-agency-literature-review-and-maryland-case-study-1708.07193</loc><lastmod>2026-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applications-of-trajectory-data-from-the-perspective-of-a-road-transportation-agency-literature-review-and-maryland-case-study-1708.07193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applications-of-trajectory-data-from-the-perspective-of-a-road-transportation-agency-literature-review-and-maryland-case-study-1708.07193"/></url>
<url><loc>https://scifaro.com/en/abs/galileo-a-generalized-low-entropy-mixture-model-1708.07242</loc><lastmod>2017-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/galileo-a-generalized-low-entropy-mixture-model-1708.07242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/galileo-a-generalized-low-entropy-mixture-model-1708.07242"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-tensor-clustering-1708.07259</loc><lastmod>2018-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-tensor-clustering-1708.07259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-tensor-clustering-1708.07259"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-compressive-sensing-using-normal-product-priors-1708.07450</loc><lastmod>2017-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-compressive-sensing-using-normal-product-priors-1708.07450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-compressive-sensing-using-normal-product-priors-1708.07450"/></url>
<url><loc>https://scifaro.com/en/abs/an-ensemble-classifier-for-predicting-the-onset-of-type-ii-diabetes-1708.07480</loc><lastmod>2017-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-ensemble-classifier-for-predicting-the-onset-of-type-ii-diabetes-1708.07480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-ensemble-classifier-for-predicting-the-onset-of-type-ii-diabetes-1708.07480"/></url>
<url><loc>https://scifaro.com/en/abs/joint-structured-learning-and-predictions-under-logical-constraints-in-conditional-random-fields-1708.07644</loc><lastmod>2017-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-structured-learning-and-predictions-under-logical-constraints-in-conditional-random-fields-1708.07644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-structured-learning-and-predictions-under-logical-constraints-in-conditional-random-fields-1708.07644"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-comparing-deep-neural-networks-for-age-and-gender-classification-1708.07689</loc><lastmod>2017-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-comparing-deep-neural-networks-for-age-and-gender-classification-1708.07689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-comparing-deep-neural-networks-for-age-and-gender-classification-1708.07689"/></url>
<url><loc>https://scifaro.com/en/abs/delayed-sampling-and-automatic-rao-blackwellization-of-probabilistic-programs-1708.07787</loc><lastmod>2018-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/delayed-sampling-and-automatic-rao-blackwellization-of-probabilistic-programs-1708.07787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/delayed-sampling-and-automatic-rao-blackwellization-of-probabilistic-programs-1708.07787"/></url>
<url><loc>https://scifaro.com/en/abs/logistic-regression-as-soft-perceptron-learning-1708.07826</loc><lastmod>2017-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logistic-regression-as-soft-perceptron-learning-1708.07826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logistic-regression-as-soft-perceptron-learning-1708.07826"/></url>
<url><loc>https://scifaro.com/en/abs/faster-clustering-via-non-backtracking-random-walks-1708.07967</loc><lastmod>2017-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-clustering-via-non-backtracking-random-walks-1708.07967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-clustering-via-non-backtracking-random-walks-1708.07967"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-protection-of-private-information-in-machine-learning-systems-two-recent-approaches-1708.08022</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-protection-of-private-information-in-machine-learning-systems-two-recent-approaches-1708.08022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-protection-of-private-information-in-machine-learning-systems-two-recent-approaches-1708.08022"/></url>
<url><loc>https://scifaro.com/en/abs/characteristic-and-universal-tensor-product-kernels-1708.08157</loc><lastmod>2018-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characteristic-and-universal-tensor-product-kernels-1708.08157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characteristic-and-universal-tensor-product-kernels-1708.08157"/></url>
<url><loc>https://scifaro.com/en/abs/chemgan-challenge-for-drug-discovery-can-ai-reproduce-natural-chemical-diversity-1708.08227</loc><lastmod>2017-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chemgan-challenge-for-drug-discovery-can-ai-reproduce-natural-chemical-diversity-1708.08227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chemgan-challenge-for-drug-discovery-can-ai-reproduce-natural-chemical-diversity-1708.08227"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-learning-paradigm-for-random-vector-functional-link-network-rvfl-1708.08282</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-learning-paradigm-for-random-vector-functional-link-network-rvfl-1708.08282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-learning-paradigm-for-random-vector-functional-link-network-rvfl-1708.08282"/></url>
<url><loc>https://scifaro.com/en/abs/unifying-dags-and-ugs-1708.08722</loc><lastmod>2018-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unifying-dags-and-ugs-1708.08722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unifying-dags-and-ugs-1708.08722"/></url>
<url><loc>https://scifaro.com/en/abs/gradual-learning-of-recurrent-neural-networks-1708.08863</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradual-learning-of-recurrent-neural-networks-1708.08863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradual-learning-of-recurrent-neural-networks-1708.08863"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-patients-with-tensor-decomposition-1708.08994</loc><lastmod>2017-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-patients-with-tensor-decomposition-1708.08994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-patients-with-tensor-decomposition-1708.08994"/></url>
<url><loc>https://scifaro.com/en/abs/a-connectedness-constraint-for-learning-sparse-graphs-1708.09021</loc><lastmod>2017-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-connectedness-constraint-for-learning-sparse-graphs-1708.09021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-connectedness-constraint-for-learning-sparse-graphs-1708.09021"/></url>
<url><loc>https://scifaro.com/en/abs/thap-a-matlab-toolkit-for-learning-with-hawkes-processes-1708.09252</loc><lastmod>2017-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thap-a-matlab-toolkit-for-learning-with-hawkes-processes-1708.09252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thap-a-matlab-toolkit-for-learning-with-hawkes-processes-1708.09252"/></url>
<url><loc>https://scifaro.com/en/abs/graphical-lasso-and-thresholding-equivalence-and-closed-form-solutions-1708.09479</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphical-lasso-and-thresholding-equivalence-and-closed-form-solutions-1708.09479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphical-lasso-and-thresholding-equivalence-and-closed-form-solutions-1708.09479"/></url>
<url><loc>https://scifaro.com/en/abs/sketching-the-order-of-events-1708.09708</loc><lastmod>2017-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sketching-the-order-of-events-1708.09708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sketching-the-order-of-events-1708.09708"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-tracking-of-a-growing-number-of-experts-1708.09811</loc><lastmod>2017-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-tracking-of-a-growing-number-of-experts-1708.09811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-tracking-of-a-growing-number-of-experts-1708.09811"/></url>
<url><loc>https://scifaro.com/en/abs/earth-system-modeling-2-0-a-blueprint-for-models-that-learn-from-observations-and-targeted-high-resolution-simulations-1709.00037</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/earth-system-modeling-2-0-a-blueprint-for-models-that-learn-from-observations-and-targeted-high-resolution-simulations-1709.00037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/earth-system-modeling-2-0-a-blueprint-for-models-that-learn-from-observations-and-targeted-high-resolution-simulations-1709.00037"/></url>
<url><loc>https://scifaro.com/en/abs/low-permutation-rank-matrices-structural-properties-and-noisy-completion-1709.00127</loc><lastmod>2017-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-permutation-rank-matrices-structural-properties-and-noisy-completion-1709.00127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-permutation-rank-matrices-structural-properties-and-noisy-completion-1709.00127"/></url>
<url><loc>https://scifaro.com/en/abs/fast-incremental-svdd-learning-algorithm-with-the-gaussian-kernel-1709.00139</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-incremental-svdd-learning-algorithm-with-the-gaussian-kernel-1709.00139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-incremental-svdd-learning-algorithm-with-the-gaussian-kernel-1709.00139"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-regularization-in-marketing-and-economics-1709.00379</loc><lastmod>2018-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-regularization-in-marketing-and-economics-1709.00379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-regularization-in-marketing-and-economics-1709.00379"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-inference-for-data-adaptive-doubly-robust-estimators-with-survival-outcomes-1709.00401</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-inference-for-data-adaptive-doubly-robust-estimators-with-survival-outcomes-1709.00401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-inference-for-data-adaptive-doubly-robust-estimators-with-survival-outcomes-1709.00401"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-mixed-memberships-with-sharp-eigenvector-deviations-1709.00407</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-mixed-memberships-with-sharp-eigenvector-deviations-1709.00407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-mixed-memberships-with-sharp-eigenvector-deviations-1709.00407"/></url>
<url><loc>https://scifaro.com/en/abs/mean-actor-critic-1709.00503</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-actor-critic-1709.00503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-actor-critic-1709.00503"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-algorithm-for-distributed-sparse-learning-via-two-way-truncation-1709.00537</loc><lastmod>2017-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-algorithm-for-distributed-sparse-learning-via-two-way-truncation-1709.00537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-algorithm-for-distributed-sparse-learning-via-two-way-truncation-1709.00537"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-scaling-1709.00566</loc><lastmod>2017-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-scaling-1709.00566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-scaling-1709.00566"/></url>
<url><loc>https://scifaro.com/en/abs/xflow-cross-modal-deep-neural-networks-for-audiovisual-classification-1709.00572</loc><lastmod>2023-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/xflow-cross-modal-deep-neural-networks-for-audiovisual-classification-1709.00572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/xflow-cross-modal-deep-neural-networks-for-audiovisual-classification-1709.00572"/></url>
<url><loc>https://scifaro.com/en/abs/sambaten-sampling-based-batch-incremental-tensor-decomposition-1709.00668</loc><lastmod>2024-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sambaten-sampling-based-batch-incremental-tensor-decomposition-1709.00668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sambaten-sampling-based-batch-incremental-tensor-decomposition-1709.00668"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-interventional-effects-of-features-on-prediction-1709.00776</loc><lastmod>2017-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-interventional-effects-of-features-on-prediction-1709.00776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-interventional-effects-of-features-on-prediction-1709.00776"/></url>
<url><loc>https://scifaro.com/en/abs/extending-the-scope-of-the-small-ball-method-1709.00843</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extending-the-scope-of-the-small-ball-method-1709.00843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extending-the-scope-of-the-small-ball-method-1709.00843"/></url>
<url><loc>https://scifaro.com/en/abs/learning-implicit-generative-models-using-differentiable-graph-tests-1709.01006</loc><lastmod>2017-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-implicit-generative-models-using-differentiable-graph-tests-1709.01006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-implicit-generative-models-using-differentiable-graph-tests-1709.01006"/></url>
<url><loc>https://scifaro.com/en/abs/balancing-interpretability-and-predictive-accuracy-for-unsupervised-tensor-mining-1709.01147</loc><lastmod>2017-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balancing-interpretability-and-predictive-accuracy-for-unsupervised-tensor-mining-1709.01147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balancing-interpretability-and-predictive-accuracy-for-unsupervised-tensor-mining-1709.01147"/></url>
<url><loc>https://scifaro.com/en/abs/random-subspace-with-trees-for-feature-selection-under-memory-constraints-1709.01177</loc><lastmod>2017-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-subspace-with-trees-for-feature-selection-under-memory-constraints-1709.01177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-subspace-with-trees-for-feature-selection-under-memory-constraints-1709.01177"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-time-flows-for-efficient-inference-and-density-estimation-1709.01179</loc><lastmod>2018-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-time-flows-for-efficient-inference-and-density-estimation-1709.01179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-time-flows-for-efficient-inference-and-density-estimation-1709.01179"/></url>
<url><loc>https://scifaro.com/en/abs/a-convergence-analysis-for-a-class-of-practical-variance-reduction-stochastic-gradient-mcmc-1709.01180</loc><lastmod>2017-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convergence-analysis-for-a-class-of-practical-variance-reduction-stochastic-gradient-mcmc-1709.01180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convergence-analysis-for-a-class-of-practical-variance-reduction-stochastic-gradient-mcmc-1709.01180"/></url>
<url><loc>https://scifaro.com/en/abs/alice-towards-understanding-adversarial-learning-for-joint-distribution-matching-1709.01215</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alice-towards-understanding-adversarial-learning-for-joint-distribution-matching-1709.01215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alice-towards-understanding-adversarial-learning-for-joint-distribution-matching-1709.01215"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-similarity-for-clustering-and-semi-supervised-learning-1709.01231</loc><lastmod>2017-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-similarity-for-clustering-and-semi-supervised-learning-1709.01231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-similarity-for-clustering-and-semi-supervised-learning-1709.01231"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-dimensionality-reduction-for-big-data-1709.01233</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-dimensionality-reduction-for-big-data-1709.01233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-dimensionality-reduction-for-big-data-1709.01233"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-mixture-kernels-for-multi-output-gaussian-processes-1709.01298</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-mixture-kernels-for-multi-output-gaussian-processes-1709.01298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-mixture-kernels-for-multi-output-gaussian-processes-1709.01298"/></url>
<url><loc>https://scifaro.com/en/abs/recovery-conditions-and-sampling-strategies-for-network-lasso-1709.01402</loc><lastmod>2017-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovery-conditions-and-sampling-strategies-for-network-lasso-1709.01402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovery-conditions-and-sampling-strategies-for-network-lasso-1709.01402"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-technical-introduction-1709.01412</loc><lastmod>2017-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-technical-introduction-1709.01412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-technical-introduction-1709.01412"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-descent-going-as-fast-as-possible-but-not-faster-1709.01427</loc><lastmod>2017-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-descent-going-as-fast-as-possible-but-not-faster-1709.01427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-descent-going-as-fast-as-possible-but-not-faster-1709.01427"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-independence-testing-based-on-a-nearest-neighbor-estimator-of-conditional-mutual-information-1709.01447</loc><lastmod>2017-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-independence-testing-based-on-a-nearest-neighbor-estimator-of-conditional-mutual-information-1709.01447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-independence-testing-based-on-a-nearest-neighbor-estimator-of-conditional-mutual-information-1709.01447"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-pe-header-malware-detection-with-minimal-domain-knowledge-1709.01471</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-pe-header-malware-detection-with-minimal-domain-knowledge-1709.01471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-pe-header-malware-detection-with-minimal-domain-knowledge-1709.01471"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-compose-domain-specific-transformations-for-data-augmentation-1709.01643</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-compose-domain-specific-transformations-for-data-augmentation-1709.01643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-compose-domain-specific-transformations-for-data-augmentation-1709.01643"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-sub-sampling-with-influence-functions-1709.01716</loc><lastmod>2017-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-sub-sampling-with-influence-functions-1709.01716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-sub-sampling-with-influence-functions-1709.01716"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-from-crowds-1709.01779</loc><lastmod>2017-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-from-crowds-1709.01779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-from-crowds-1709.01779"/></url>
<url><loc>https://scifaro.com/en/abs/symmetric-variational-autoencoder-and-connections-to-adversarial-learning-1709.01846</loc><lastmod>2017-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symmetric-variational-autoencoder-and-connections-to-adversarial-learning-1709.01846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symmetric-variational-autoencoder-and-connections-to-adversarial-learning-1709.01846"/></url>
<url><loc>https://scifaro.com/en/abs/the-low-rank-hurdle-model-1709.01860</loc><lastmod>2017-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-low-rank-hurdle-model-1709.01860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-low-rank-hurdle-model-1709.01860"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-gaussian-processes-1709.01894</loc><lastmod>2017-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-gaussian-processes-1709.01894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-gaussian-processes-1709.01894"/></url>
<url><loc>https://scifaro.com/en/abs/deep-and-confident-prediction-for-time-series-at-uber-1709.01907</loc><lastmod>2018-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-and-confident-prediction-for-time-series-at-uber-1709.01907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-and-confident-prediction-for-time-series-at-uber-1709.01907"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-a-low-rank-topic-based-model-for-information-cascades-1709.01919</loc><lastmod>2020-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-a-low-rank-topic-based-model-for-information-cascades-1709.01919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-a-low-rank-topic-based-model-for-information-cascades-1709.01919"/></url>
<url><loc>https://scifaro.com/en/abs/a-quasi-isometric-embedding-algorithm-1709.01972</loc><lastmod>2017-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-quasi-isometric-embedding-algorithm-1709.01972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-quasi-isometric-embedding-algorithm-1709.01972"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-meta-heuristics-with-homotopic-recurrent-neural-networks-1709.02194</loc><lastmod>2017-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-meta-heuristics-with-homotopic-recurrent-neural-networks-1709.02194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-meta-heuristics-with-homotopic-recurrent-neural-networks-1709.02194"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-for-performance-modeling-of-configurable-systems-an-exploratory-analysis-1709.02280</loc><lastmod>2017-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-for-performance-modeling-of-configurable-systems-an-exploratory-analysis-1709.02280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-for-performance-modeling-of-configurable-systems-an-exploratory-analysis-1709.02280"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-pca-for-time-varying-data-1709.02373</loc><lastmod>2017-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-pca-for-time-varying-data-1709.02373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-pca-for-time-varying-data-1709.02373"/></url>
<url><loc>https://scifaro.com/en/abs/reservoir-of-diverse-adaptive-learners-and-stacking-fast-hoeffding-drift-detection-methods-for-evolving-data-streams-1709.02457</loc><lastmod>2018-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reservoir-of-diverse-adaptive-learners-and-stacking-fast-hoeffding-drift-detection-methods-for-evolving-data-streams-1709.02457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reservoir-of-diverse-adaptive-learners-and-stacking-fast-hoeffding-drift-detection-methods-for-evolving-data-streams-1709.02457"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-undersampled-mri-reconstruction-1709.02576</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-undersampled-mri-reconstruction-1709.02576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-undersampled-mri-reconstruction-1709.02576"/></url>
<url><loc>https://scifaro.com/en/abs/entropic-determinants-1709.02702</loc><lastmod>2017-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropic-determinants-1709.02702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropic-determinants-1709.02702"/></url>
<url><loc>https://scifaro.com/en/abs/roll-back-hamiltonian-monte-carlo-1709.02855</loc><lastmod>2017-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/roll-back-hamiltonian-monte-carlo-1709.02855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/roll-back-hamiltonian-monte-carlo-1709.02855"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-analysis-for-exp-concave-empirical-minimization-with-arbitrary-convex-regularizer-1709.02909</loc><lastmod>2017-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-analysis-for-exp-concave-empirical-minimization-with-arbitrary-convex-regularizer-1709.02909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-analysis-for-exp-concave-empirical-minimization-with-arbitrary-convex-regularizer-1709.02909"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-bandits-balancing-the-exploration-exploitation-tradeoff-via-double-sampling-1709.03162</loc><lastmod>2018-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-bandits-balancing-the-exploration-exploitation-tradeoff-via-double-sampling-1709.03162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-bandits-balancing-the-exploration-exploitation-tradeoff-via-double-sampling-1709.03162"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-for-the-multi-armed-contextual-bandit-1709.03163</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-for-the-multi-armed-contextual-bandit-1709.03163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-for-the-multi-armed-contextual-bandit-1709.03163"/></url>
<url><loc>https://scifaro.com/en/abs/rates-of-convergence-of-spectral-methods-for-graphon-estimation-1709.03183</loc><lastmod>2017-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rates-of-convergence-of-spectral-methods-for-graphon-estimation-1709.03183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rates-of-convergence-of-spectral-methods-for-graphon-estimation-1709.03183"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-active-clustering-with-weak-oracles-1709.03202</loc><lastmod>2017-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-active-clustering-with-weak-oracles-1709.03202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-active-clustering-with-weak-oracles-1709.03202"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-methods-as-a-defense-to-adversarial-perturbations-against-deep-neural-networks-1709.03423</loc><lastmod>2018-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-methods-as-a-defense-to-adversarial-perturbations-against-deep-neural-networks-1709.03423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-methods-as-a-defense-to-adversarial-perturbations-against-deep-neural-networks-1709.03423"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-genetic-risk-factors-via-sparse-group-lasso-with-group-graph-structure-1709.03645</loc><lastmod>2017-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-genetic-risk-factors-via-sparse-group-lasso-with-group-graph-structure-1709.03645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-genetic-risk-factors-via-sparse-group-lasso-with-group-graph-structure-1709.03645"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-waveform-utterance-enhancement-for-direct-evaluation-metrics-optimization-by-fully-convolutional-neural-networks-1709.03658</loc><lastmod>2018-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-waveform-utterance-enhancement-for-direct-evaluation-metrics-optimization-by-fully-convolutional-neural-networks-1709.03658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-waveform-utterance-enhancement-for-direct-evaluation-metrics-optimization-by-fully-convolutional-neural-networks-1709.03658"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-bounded-instance-and-label-dependent-label-noise-1709.03768</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-bounded-instance-and-label-dependent-label-noise-1709.03768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-bounded-instance-and-label-dependent-label-noise-1709.03768"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-potential-correlations-via-hypercontractivity-1709.04024</loc><lastmod>2017-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-potential-correlations-via-hypercontractivity-1709.04024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-potential-correlations-via-hypercontractivity-1709.04024"/></url>
<url><loc>https://scifaro.com/en/abs/shifting-mean-activation-towards-zero-with-bipolar-activation-functions-1709.04054</loc><lastmod>2018-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shifting-mean-activation-towards-zero-with-bipolar-activation-functions-1709.04054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shifting-mean-activation-towards-zero-with-bipolar-activation-functions-1709.04054"/></url>
<url><loc>https://scifaro.com/en/abs/ead-elastic-net-attacks-to-deep-neural-networks-via-adversarial-examples-1709.04114</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ead-elastic-net-attacks-to-deep-neural-networks-via-adversarial-examples-1709.04114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ead-elastic-net-attacks-to-deep-neural-networks-via-adversarial-examples-1709.04114"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-orthogonal-components-regression-analysis-1709.04135</loc><lastmod>2018-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-orthogonal-components-regression-analysis-1709.04135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-orthogonal-components-regression-analysis-1709.04135"/></url>
<url><loc>https://scifaro.com/en/abs/generating-music-medleys-via-playing-music-puzzle-games-1709.04384</loc><lastmod>2017-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-music-medleys-via-playing-music-puzzle-games-1709.04384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-music-medleys-via-playing-music-puzzle-games-1709.04384"/></url>
<url><loc>https://scifaro.com/en/abs/tight-semi-nonnegative-matrix-factorization-1709.04395</loc><lastmod>2017-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-semi-nonnegative-matrix-factorization-1709.04395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-semi-nonnegative-matrix-factorization-1709.04395"/></url>
<url><loc>https://scifaro.com/en/abs/the-merging-path-plot-adaptive-fusing-of-k-groups-with-likelihood-based-model-selection-1709.04412</loc><lastmod>2017-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-merging-path-plot-adaptive-fusing-of-k-groups-with-likelihood-based-model-selection-1709.04412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-merging-path-plot-adaptive-fusing-of-k-groups-with-likelihood-based-model-selection-1709.04412"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-ising-problem-in-continuous-time-a-latent-variable-approach-1709.04495</loc><lastmod>2017-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-ising-problem-in-continuous-time-a-latent-variable-approach-1709.04495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-ising-problem-in-continuous-time-a-latent-variable-approach-1709.04495"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-spectral-graph-clustering-with-generative-community-models-1709.04594</loc><lastmod>2017-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-spectral-graph-clustering-with-generative-community-models-1709.04594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-spectral-graph-clustering-with-generative-community-models-1709.04594"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-generalizing-graph-based-representation-learning-methods-1709.04596</loc><lastmod>2017-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-generalizing-graph-based-representation-learning-methods-1709.04596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-generalizing-graph-based-representation-learning-methods-1709.04596"/></url>
<url><loc>https://scifaro.com/en/abs/the-conditional-analogy-gan-swapping-fashion-articles-on-people-images-1709.04695</loc><lastmod>2017-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-conditional-analogy-gan-swapping-fashion-articles-on-people-images-1709.04695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-conditional-analogy-gan-swapping-fashion-articles-on-people-images-1709.04695"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-graph-based-semi-supervised-learning-via-flows-1709.04764</loc><lastmod>2019-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-graph-based-semi-supervised-learning-via-flows-1709.04764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-graph-based-semi-supervised-learning-via-flows-1709.04764"/></url>
<url><loc>https://scifaro.com/en/abs/informed-non-convex-robust-principal-component-analysis-with-features-1709.04836</loc><lastmod>2017-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/informed-non-convex-robust-principal-component-analysis-with-features-1709.04836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/informed-non-convex-robust-principal-component-analysis-with-features-1709.04836"/></url>
<url><loc>https://scifaro.com/en/abs/random-forests-of-interaction-trees-for-estimating-individualized-treatment-effects-in-randomized-trials-1709.04862</loc><lastmod>2018-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-forests-of-interaction-trees-for-estimating-individualized-treatment-effects-in-randomized-trials-1709.04862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-forests-of-interaction-trees-for-estimating-individualized-treatment-effects-in-randomized-trials-1709.04862"/></url>
<url><loc>https://scifaro.com/en/abs/two-sample-statistics-based-on-anisotropic-kernels-1709.05006</loc><lastmod>2018-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-sample-statistics-based-on-anisotropic-kernels-1709.05006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-sample-statistics-based-on-anisotropic-kernels-1709.05006"/></url>
<url><loc>https://scifaro.com/en/abs/dependence-modeling-in-ultra-high-dimensions-with-vine-copulas-and-the-graphical-lasso-1709.05119</loc><lastmod>2017-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dependence-modeling-in-ultra-high-dimensions-with-vine-copulas-and-the-graphical-lasso-1709.05119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dependence-modeling-in-ultra-high-dimensions-with-vine-copulas-and-the-graphical-lasso-1709.05119"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-learning-for-sequential-decision-making-for-expensive-cost-functions-with-stochastic-binary-feedbacks-1709.05216</loc><lastmod>2017-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-learning-for-sequential-decision-making-for-expensive-cost-functions-with-stochastic-binary-feedbacks-1709.05216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-learning-for-sequential-decision-making-for-expensive-cost-functions-with-stochastic-binary-feedbacks-1709.05216"/></url>
<url><loc>https://scifaro.com/en/abs/a-spectral-method-for-activity-shaping-in-continuous-time-information-cascades-1709.05231</loc><lastmod>2017-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-spectral-method-for-activity-shaping-in-continuous-time-information-cascades-1709.05231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-spectral-method-for-activity-shaping-in-continuous-time-information-cascades-1709.05231"/></url>
<url><loc>https://scifaro.com/en/abs/mixtures-and-products-in-two-graphical-models-1709.05276</loc><lastmod>2017-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixtures-and-products-in-two-graphical-models-1709.05276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixtures-and-products-in-two-graphical-models-1709.05276"/></url>
<url><loc>https://scifaro.com/en/abs/learning-functional-causal-models-with-generative-neural-networks-1709.05321</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-functional-causal-models-with-generative-neural-networks-1709.05321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-functional-causal-models-with-generative-neural-networks-1709.05321"/></url>
<url><loc>https://scifaro.com/en/abs/subset-labeled-lda-for-large-scale-multi-label-classification-1709.05480</loc><lastmod>2017-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subset-labeled-lda-for-large-scale-multi-label-classification-1709.05480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subset-labeled-lda-for-large-scale-multi-label-classification-1709.05480"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-bayesian-optimization-for-automatic-chemical-design-1709.05501</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-bayesian-optimization-for-automatic-chemical-design-1709.05501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-bayesian-optimization-for-automatic-chemical-design-1709.05501"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-interpretation-of-spectral-embedding-the-generalised-random-dot-product-graph-1709.05506</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-interpretation-of-spectral-embedding-the-generalised-random-dot-product-graph-1709.05506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-interpretation-of-spectral-embedding-the-generalised-random-dot-product-graph-1709.05506"/></url>
<url><loc>https://scifaro.com/en/abs/generating-compact-tree-ensembles-via-annealing-1709.05545</loc><lastmod>2020-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-compact-tree-ensembles-via-annealing-1709.05545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-compact-tree-ensembles-via-annealing-1709.05545"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-gaussian-network-structure-learning-1709.05552</loc><lastmod>2017-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-gaussian-network-structure-learning-1709.05552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-gaussian-network-structure-learning-1709.05552"/></url>
<url><loc>https://scifaro.com/en/abs/characterization-of-hemodynamic-signal-by-learning-multi-view-relationships-1709.05602</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterization-of-hemodynamic-signal-by-learning-multi-view-relationships-1709.05602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterization-of-hemodynamic-signal-by-learning-multi-view-relationships-1709.05602"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-nonparametric-principal-component-analysis-1709.05667</loc><lastmod>2017-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-nonparametric-principal-component-analysis-1709.05667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-nonparametric-principal-component-analysis-1709.05667"/></url>
<url><loc>https://scifaro.com/en/abs/neonatal-seizure-detection-using-convolutional-neural-networks-1709.05849</loc><lastmod>2017-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neonatal-seizure-detection-using-convolutional-neural-networks-1709.05849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neonatal-seizure-detection-using-convolutional-neural-networks-1709.05849"/></url>
<url><loc>https://scifaro.com/en/abs/zhusuan-a-library-for-bayesian-deep-learning-1709.05870</loc><lastmod>2017-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zhusuan-a-library-for-bayesian-deep-learning-1709.05870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zhusuan-a-library-for-bayesian-deep-learning-1709.05870"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-a-tight-lower-bound-for-mnl-bandit-assortment-selection-models-1709.06109</loc><lastmod>2018-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-a-tight-lower-bound-for-mnl-bandit-assortment-selection-models-1709.06109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-a-tight-lower-bound-for-mnl-bandit-assortment-selection-models-1709.06109"/></url>
<url><loc>https://scifaro.com/en/abs/a-probabilistic-framework-for-nonlinearities-in-stochastic-neural-networks-1709.06123</loc><lastmod>2017-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probabilistic-framework-for-nonlinearities-in-stochastic-neural-networks-1709.06123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probabilistic-framework-for-nonlinearities-in-stochastic-neural-networks-1709.06123"/></url>
<url><loc>https://scifaro.com/en/abs/model-powered-conditional-independence-test-1709.06138</loc><lastmod>2017-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-powered-conditional-independence-test-1709.06138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-powered-conditional-independence-test-1709.06138"/></url>
<url><loc>https://scifaro.com/en/abs/learning-low-dimensional-metrics-1709.06171</loc><lastmod>2018-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-low-dimensional-metrics-1709.06171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-low-dimensional-metrics-1709.06171"/></url>
<url><loc>https://scifaro.com/en/abs/finite-sample-guarantees-for-pca-in-non-isotropic-and-data-dependent-noise-1709.06255</loc><lastmod>2017-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-sample-guarantees-for-pca-in-non-isotropic-and-data-dependent-noise-1709.06255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-sample-guarantees-for-pca-in-non-isotropic-and-data-dependent-noise-1709.06255"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-estimation-of-dirichlet-process-mixture-models-on-distributed-data-1709.06304</loc><lastmod>2017-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-estimation-of-dirichlet-process-mixture-models-on-distributed-data-1709.06304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-estimation-of-dirichlet-process-mixture-models-on-distributed-data-1709.06304"/></url>
<url><loc>https://scifaro.com/en/abs/nonnegative-matrix-factorization-with-side-information-for-time-series-recovery-and-prediction-1709.06320</loc><lastmod>2017-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonnegative-matrix-factorization-with-side-information-for-time-series-recovery-and-prediction-1709.06320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonnegative-matrix-factorization-with-side-information-for-time-series-recovery-and-prediction-1709.06320"/></url>
<url><loc>https://scifaro.com/en/abs/inference-in-graphical-models-via-semidefinite-programming-hierarchies-1709.06525</loc><lastmod>2017-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-in-graphical-models-via-semidefinite-programming-hierarchies-1709.06525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-in-graphical-models-via-semidefinite-programming-hierarchies-1709.06525"/></url>
<url><loc>https://scifaro.com/en/abs/a-summary-of-the-kernel-matrix-and-how-to-learn-it-effectively-using-semidefinite-programming-1709.06557</loc><lastmod>2017-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-summary-of-the-kernel-matrix-and-how-to-learn-it-effectively-using-semidefinite-programming-1709.06557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-summary-of-the-kernel-matrix-and-how-to-learn-it-effectively-using-semidefinite-programming-1709.06557"/></url>
<url><loc>https://scifaro.com/en/abs/verifying-properties-of-binarized-deep-neural-networks-1709.06662</loc><lastmod>2018-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/verifying-properties-of-binarized-deep-neural-networks-1709.06662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/verifying-properties-of-binarized-deep-neural-networks-1709.06662"/></url>
<url><loc>https://scifaro.com/en/abs/a-textual-transform-of-multivariate-time-series-for-prognostics-1709.06669</loc><lastmod>2017-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-textual-transform-of-multivariate-time-series-for-prognostics-1709.06669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-textual-transform-of-multivariate-time-series-for-prognostics-1709.06669"/></url>
<url><loc>https://scifaro.com/en/abs/deep-lattice-networks-and-partial-monotonic-functions-1709.06680</loc><lastmod>2017-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-lattice-networks-and-partial-monotonic-functions-1709.06680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-lattice-networks-and-partial-monotonic-functions-1709.06680"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-principal-component-analysis-1709.06716</loc><lastmod>2017-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-principal-component-analysis-1709.06716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-principal-component-analysis-1709.06716"/></url>
<url><loc>https://scifaro.com/en/abs/bandits-with-delayed-aggregated-anonymous-feedback-1709.06853</loc><lastmod>2018-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandits-with-delayed-aggregated-anonymous-feedback-1709.06853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandits-with-delayed-aggregated-anonymous-feedback-1709.06853"/></url>
<url><loc>https://scifaro.com/en/abs/an-expectation-conditional-maximization-approach-for-gaussian-graphical-models-1709.06970</loc><lastmod>2019-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-expectation-conditional-maximization-approach-for-gaussian-graphical-models-1709.06970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-expectation-conditional-maximization-approach-for-gaussian-graphical-models-1709.06970"/></url>
<url><loc>https://scifaro.com/en/abs/persistence-flamelets-multiscale-persistent-homology-for-kernel-density-exploration-1709.07097</loc><lastmod>2017-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/persistence-flamelets-multiscale-persistent-homology-for-kernel-density-exploration-1709.07097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/persistence-flamelets-multiscale-persistent-homology-for-kernel-density-exploration-1709.07097"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-learning-with-indefinite-topological-kernels-1709.07100</loc><lastmod>2017-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-learning-with-indefinite-topological-kernels-1709.07100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-learning-with-indefinite-topological-kernels-1709.07100"/></url>
<url><loc>https://scifaro.com/en/abs/lazy-stochastic-principal-component-analysis-1709.07175</loc><lastmod>2017-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lazy-stochastic-principal-component-analysis-1709.07175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lazy-stochastic-principal-component-analysis-1709.07175"/></url>
<url><loc>https://scifaro.com/en/abs/yet-another-adni-machine-learning-paper-paving-the-way-towards-fully-reproducible-research-on-classification-of-alzheimer-s-disease-1709.07267</loc><lastmod>2017-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/yet-another-adni-machine-learning-paper-paving-the-way-towards-fully-reproducible-research-on-classification-of-alzheimer-s-disease-1709.07267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/yet-another-adni-machine-learning-paper-paving-the-way-towards-fully-reproducible-research-on-classification-of-alzheimer-s-disease-1709.07267"/></url>
<url><loc>https://scifaro.com/en/abs/class-splitting-generative-adversarial-networks-1709.07359</loc><lastmod>2018-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/class-splitting-generative-adversarial-networks-1709.07359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/class-splitting-generative-adversarial-networks-1709.07359"/></url>
<url><loc>https://scifaro.com/en/abs/perturbative-black-box-variational-inference-1709.07433</loc><lastmod>2018-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perturbative-black-box-variational-inference-1709.07433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perturbative-black-box-variational-inference-1709.07433"/></url>
<url><loc>https://scifaro.com/en/abs/total-stability-of-kernel-methods-1709.07625</loc><lastmod>2017-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/total-stability-of-kernel-methods-1709.07625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/total-stability-of-kernel-methods-1709.07625"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-bayesian-inference-in-linear-state-space-models-for-intermittent-demand-forecasting-at-scale-1709.07638</loc><lastmod>2017-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-bayesian-inference-in-linear-state-space-models-for-intermittent-demand-forecasting-at-scale-1709.07638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-bayesian-inference-in-linear-state-space-models-for-intermittent-demand-forecasting-at-scale-1709.07638"/></url>
<url><loc>https://scifaro.com/en/abs/estimate-exchange-over-network-is-good-for-distributed-hard-thresholding-pursuit-1709.07731</loc><lastmod>2017-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimate-exchange-over-network-is-good-for-distributed-hard-thresholding-pursuit-1709.07731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimate-exchange-over-network-is-good-for-distributed-hard-thresholding-pursuit-1709.07731"/></url>
<url><loc>https://scifaro.com/en/abs/on-overfitting-and-asymptotic-bias-in-batch-reinforcement-learning-with-partial-observability-1709.07796</loc><lastmod>2019-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-overfitting-and-asymptotic-bias-in-batch-reinforcement-learning-with-partial-observability-1709.07796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-overfitting-and-asymptotic-bias-in-batch-reinforcement-learning-with-partial-observability-1709.07796"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-for-parameter-tuning-of-the-xor-neural-network-1709.07842</loc><lastmod>2017-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-for-parameter-tuning-of-the-xor-neural-network-1709.07842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-for-parameter-tuning-of-the-xor-neural-network-1709.07842"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-multi-task-gaussian-process-regression-with-multiple-latent-processes-1709.07903</loc><lastmod>2018-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-multi-task-gaussian-process-regression-with-multiple-latent-processes-1709.07903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-multi-task-gaussian-process-regression-with-multiple-latent-processes-1709.07903"/></url>
<url><loc>https://scifaro.com/en/abs/combining-machine-learning-and-physics-to-understand-glassy-systems-1709.08015</loc><lastmod>2018-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-machine-learning-and-physics-to-understand-glassy-systems-1709.08015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-machine-learning-and-physics-to-understand-glassy-systems-1709.08015"/></url>
<url><loc>https://scifaro.com/en/abs/cross-modal-recurrent-models-for-weight-objective-prediction-from-multimodal-time-series-data-1709.08073</loc><lastmod>2018-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-modal-recurrent-models-for-weight-objective-prediction-from-multimodal-time-series-data-1709.08073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-modal-recurrent-models-for-weight-objective-prediction-from-multimodal-time-series-data-1709.08073"/></url>
<url><loc>https://scifaro.com/en/abs/weather-forecasting-error-in-solar-energy-forecasting-1709.08135</loc><lastmod>2017-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weather-forecasting-error-in-solar-energy-forecasting-1709.08135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weather-forecasting-error-in-solar-energy-forecasting-1709.08135"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-optimality-of-kernel-embedding-based-goodness-of-fit-tests-1709.08148</loc><lastmod>2017-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-optimality-of-kernel-embedding-based-goodness-of-fit-tests-1709.08148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-optimality-of-kernel-embedding-based-goodness-of-fit-tests-1709.08148"/></url>
<url><loc>https://scifaro.com/en/abs/mining-a-sub-matrix-of-maximal-sum-1709.08461</loc><lastmod>2017-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mining-a-sub-matrix-of-maximal-sum-1709.08461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mining-a-sub-matrix-of-maximal-sum-1709.08461"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-learning-of-spatiotemporal-patterns-from-longitudinal-manifold-valued-networks-1709.08491</loc><lastmod>2017-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-learning-of-spatiotemporal-patterns-from-longitudinal-manifold-valued-networks-1709.08491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-learning-of-spatiotemporal-patterns-from-longitudinal-manifold-valued-networks-1709.08491"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-state-decoders-encoding-the-future-into-recurrent-networks-1709.08520</loc><lastmod>2017-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-state-decoders-encoding-the-future-into-recurrent-networks-1709.08520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-state-decoders-encoding-the-future-into-recurrent-networks-1709.08520"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-model-shrinkage-effect-of-gamma-process-edge-partition-models-1709.08770</loc><lastmod>2017-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-model-shrinkage-effect-of-gamma-process-edge-partition-models-1709.08770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-model-shrinkage-effect-of-gamma-process-edge-partition-models-1709.08770"/></url>
<url><loc>https://scifaro.com/en/abs/learning-energy-based-models-as-generative-convnets-via-multi-grid-modeling-and-sampling-1709.08868</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-energy-based-models-as-generative-convnets-via-multi-grid-modeling-and-sampling-1709.08868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-energy-based-models-as-generative-convnets-via-multi-grid-modeling-and-sampling-1709.08868"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-regularization-of-wasserstein-gans-1709.08894</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-regularization-of-wasserstein-gans-1709.08894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-regularization-of-wasserstein-gans-1709.08894"/></url>
<url><loc>https://scifaro.com/en/abs/telling-cause-from-effect-using-mdl-based-local-and-global-regression-1709.08915</loc><lastmod>2018-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/telling-cause-from-effect-using-mdl-based-local-and-global-regression-1709.08915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/telling-cause-from-effect-using-mdl-based-local-and-global-regression-1709.08915"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-nonparametric-clustering-1709.09102</loc><lastmod>2017-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-nonparametric-clustering-1709.09102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-nonparametric-clustering-1709.09102"/></url>
<url><loc>https://scifaro.com/en/abs/eden-evolutionary-deep-networks-for-efficient-machine-learning-1709.09161</loc><lastmod>2017-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eden-evolutionary-deep-networks-for-efficient-machine-learning-1709.09161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eden-evolutionary-deep-networks-for-efficient-machine-learning-1709.09161"/></url>
<url><loc>https://scifaro.com/en/abs/symbolic-analysis-based-reduced-order-markov-modeling-of-time-series-data-1709.09274</loc><lastmod>2017-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symbolic-analysis-based-reduced-order-markov-modeling-of-time-series-data-1709.09274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symbolic-analysis-based-reduced-order-markov-modeling-of-time-series-data-1709.09274"/></url>
<url><loc>https://scifaro.com/en/abs/multi-way-interacting-regression-via-factorization-machines-1709.09301</loc><lastmod>2017-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-way-interacting-regression-via-factorization-machines-1709.09301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-way-interacting-regression-via-factorization-machines-1709.09301"/></url>
<url><loc>https://scifaro.com/en/abs/augmented-robust-pca-for-foreground-background-separation-on-noisy-moving-camera-video-1709.09328</loc><lastmod>2017-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmented-robust-pca-for-foreground-background-separation-on-noisy-moving-camera-video-1709.09328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmented-robust-pca-for-foreground-background-separation-on-noisy-moving-camera-video-1709.09328"/></url>
<url><loc>https://scifaro.com/en/abs/introducing-machine-learning-for-power-system-operation-support-1709.09527</loc><lastmod>2017-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introducing-machine-learning-for-power-system-operation-support-1709.09527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introducing-machine-learning-for-power-system-operation-support-1709.09527"/></url>
<url><loc>https://scifaro.com/en/abs/the-detour-problem-in-a-stochastic-environment-tolman-revisited-1709.09761</loc><lastmod>2017-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-detour-problem-in-a-stochastic-environment-tolman-revisited-1709.09761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-detour-problem-in-a-stochastic-environment-tolman-revisited-1709.09761"/></url>
<url><loc>https://scifaro.com/en/abs/a-generative-model-for-score-normalization-in-speaker-recognition-1709.09868</loc><lastmod>2017-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generative-model-for-score-normalization-in-speaker-recognition-1709.09868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generative-model-for-score-normalization-in-speaker-recognition-1709.09868"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-multi-plate-high-throughput-screening-of-compounds-1709.10041</loc><lastmod>2017-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-multi-plate-high-throughput-screening-of-compounds-1709.10041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-multi-plate-high-throughput-screening-of-compounds-1709.10041"/></url>
<url><loc>https://scifaro.com/en/abs/introducing-deepbalance-random-deep-belief-network-ensembles-to-address-class-imbalance-1709.10056</loc><lastmod>2017-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introducing-deepbalance-random-deep-belief-network-ensembles-to-address-class-imbalance-1709.10056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introducing-deepbalance-random-deep-belief-network-ensembles-to-address-class-imbalance-1709.10056"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-and-fast-algorithm-for-l1-norm-kernel-pca-1709.10152</loc><lastmod>2020-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-and-fast-algorithm-for-l1-norm-kernel-pca-1709.10152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-and-fast-algorithm-for-l1-norm-kernel-pca-1709.10152"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-pca-with-ica-from-data-distribution-perspective-1709.10222</loc><lastmod>2017-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-pca-with-ica-from-data-distribution-perspective-1709.10222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-pca-with-ica-from-data-distribution-perspective-1709.10222"/></url>
<url><loc>https://scifaro.com/en/abs/a-nonlinear-orthogonal-non-negative-matrix-factorization-approach-to-subspace-clustering-1709.10323</loc><lastmod>2018-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-nonlinear-orthogonal-non-negative-matrix-factorization-approach-to-subspace-clustering-1709.10323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-nonlinear-orthogonal-non-negative-matrix-factorization-approach-to-subspace-clustering-1709.10323"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-analysis-of-distributed-stochastic-gradient-descent-with-shuffling-1709.10432</loc><lastmod>2017-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-analysis-of-distributed-stochastic-gradient-descent-with-shuffling-1709.10432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-analysis-of-distributed-stochastic-gradient-descent-with-shuffling-1709.10432"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-modeling-of-molecular-energies-using-a-deep-neural-network-1710.00017</loc><lastmod>2018-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-modeling-of-molecular-energies-using-a-deep-neural-network-1710.00017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-modeling-of-molecular-energies-using-a-deep-neural-network-1710.00017"/></url>
<url><loc>https://scifaro.com/en/abs/language-depedent-i-vectors-for-lre15-1710.00085</loc><lastmod>2017-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/language-depedent-i-vectors-for-lre15-1710.00085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/language-depedent-i-vectors-for-lre15-1710.00085"/></url>
<url><loc>https://scifaro.com/en/abs/reconstruction-from-periodic-nonlinearities-with-applications-to-hdr-imaging-1710.00109</loc><lastmod>2017-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconstruction-from-periodic-nonlinearities-with-applications-to-hdr-imaging-1710.00109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconstruction-from-periodic-nonlinearities-with-applications-to-hdr-imaging-1710.00109"/></url>
<url><loc>https://scifaro.com/en/abs/testing-for-feature-relevance-the-harvest-algorithm-1710.00210</loc><lastmod>2018-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-for-feature-relevance-the-harvest-algorithm-1710.00210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-for-feature-relevance-the-harvest-algorithm-1710.00210"/></url>
<url><loc>https://scifaro.com/en/abs/learning-predictive-leading-indicators-for-forecasting-time-series-systems-with-unknown-clusters-of-forecast-tasks-1710.00569</loc><lastmod>2017-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-predictive-leading-indicators-for-forecasting-time-series-systems-with-unknown-clusters-of-forecast-tasks-1710.00569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-predictive-leading-indicators-for-forecasting-time-series-systems-with-unknown-clusters-of-forecast-tasks-1710.00569"/></url>
<url><loc>https://scifaro.com/en/abs/how-is-distributed-admm-affected-by-network-topology-1710.00889</loc><lastmod>2017-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-is-distributed-admm-affected-by-network-topology-1710.00889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-is-distributed-admm-affected-by-network-topology-1710.00889"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-approximation-certificates-for-k-means-clustering-1710.00956</loc><lastmod>2017-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-approximation-certificates-for-k-means-clustering-1710.00956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-approximation-certificates-for-k-means-clustering-1710.00956"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-quadratically-constrained-quadratic-program-via-low-discrepancy-sequences-1710.01163</loc><lastmod>2017-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-quadratically-constrained-quadratic-program-via-low-discrepancy-sequences-1710.01163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-quadratically-constrained-quadratic-program-via-low-discrepancy-sequences-1710.01163"/></url>
<url><loc>https://scifaro.com/en/abs/decontamination-of-mutual-contamination-models-1710.01167</loc><lastmod>2019-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decontamination-of-mutual-contamination-models-1710.01167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decontamination-of-mutual-contamination-models-1710.01167"/></url>
<url><loc>https://scifaro.com/en/abs/robust-hypothesis-test-for-nonlinear-effect-with-gaussian-processes-1710.01406</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-hypothesis-test-for-nonlinear-effect-with-gaussian-processes-1710.01406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-hypothesis-test-for-nonlinear-effect-with-gaussian-processes-1710.01406"/></url>
<url><loc>https://scifaro.com/en/abs/learning-registered-point-processes-from-idiosyncratic-observations-1710.01410</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-registered-point-processes-from-idiosyncratic-observations-1710.01410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-registered-point-processes-from-idiosyncratic-observations-1710.01410"/></url>
<url><loc>https://scifaro.com/en/abs/strengths-and-weaknesses-of-deep-learning-models-for-face-recognition-against-image-degradations-1710.01494</loc><lastmod>2018-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strengths-and-weaknesses-of-deep-learning-models-for-face-recognition-against-image-degradations-1710.01494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strengths-and-weaknesses-of-deep-learning-models-for-face-recognition-against-image-degradations-1710.01494"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-database-release-via-kernel-mean-embeddings-1710.01641</loc><lastmod>2018-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-database-release-via-kernel-mean-embeddings-1710.01641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-database-release-via-kernel-mean-embeddings-1710.01641"/></url>
<url><loc>https://scifaro.com/en/abs/smooth-pinball-neural-network-for-probabilistic-forecasting-of-wind-power-1710.01720</loc><lastmod>2017-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smooth-pinball-neural-network-for-probabilistic-forecasting-of-wind-power-1710.01720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smooth-pinball-neural-network-for-probabilistic-forecasting-of-wind-power-1710.01720"/></url>
<url><loc>https://scifaro.com/en/abs/multitask-learning-using-task-clustering-with-applications-to-predictive-modeling-and-gwas-of-plant-varieties-1710.01788</loc><lastmod>2017-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multitask-learning-using-task-clustering-with-applications-to-predictive-modeling-and-gwas-of-plant-varieties-1710.01788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multitask-learning-using-task-clustering-with-applications-to-predictive-modeling-and-gwas-of-plant-varieties-1710.01788"/></url>
<url><loc>https://scifaro.com/en/abs/to-prune-or-not-to-prune-exploring-the-efficacy-of-pruning-for-model-compression-1710.01878</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/to-prune-or-not-to-prune-exploring-the-efficacy-of-pruning-for-model-compression-1710.01878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/to-prune-or-not-to-prune-exploring-the-efficacy-of-pruning-for-model-compression-1710.01878"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-player-behavioral-data-and-simulating-in-game-events-1710.01931</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-player-behavioral-data-and-simulating-in-game-events-1710.01931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-player-behavioral-data-and-simulating-in-game-events-1710.01931"/></url>
<url><loc>https://scifaro.com/en/abs/mcdiarmid-drift-detection-methods-for-evolving-data-streams-1710.02030</loc><lastmod>2018-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcdiarmid-drift-detection-methods-for-evolving-data-streams-1710.02030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcdiarmid-drift-detection-methods-for-evolving-data-streams-1710.02030"/></url>
<url><loc>https://scifaro.com/en/abs/anatomical-pattern-analysis-for-decoding-visual-stimuli-in-human-brains-1710.02113</loc><lastmod>2017-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anatomical-pattern-analysis-for-decoding-visual-stimuli-in-human-brains-1710.02113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anatomical-pattern-analysis-for-decoding-visual-stimuli-in-human-brains-1710.02113"/></url>
<url><loc>https://scifaro.com/en/abs/porcupine-neural-networks-almost-all-local-optima-are-global-1710.02196</loc><lastmod>2017-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/porcupine-neural-networks-almost-all-local-optima-are-global-1710.02196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/porcupine-neural-networks-almost-all-local-optima-are-global-1710.02196"/></url>
<url><loc>https://scifaro.com/en/abs/how-much-chemistry-does-a-deep-neural-network-need-to-know-to-make-accurate-predictions-1710.02238</loc><lastmod>2018-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-much-chemistry-does-a-deep-neural-network-need-to-know-to-make-accurate-predictions-1710.02238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-much-chemistry-does-a-deep-neural-network-need-to-know-to-make-accurate-predictions-1710.02238"/></url>
<url><loc>https://scifaro.com/en/abs/games-and-big-data-a-scalable-multi-dimensional-churn-prediction-model-1710.02262</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/games-and-big-data-a-scalable-multi-dimensional-churn-prediction-model-1710.02262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/games-and-big-data-a-scalable-multi-dimensional-churn-prediction-model-1710.02262"/></url>
<url><loc>https://scifaro.com/en/abs/churn-prediction-in-mobile-social-games-towards-a-complete-assessment-using-survival-ensembles-1710.02264</loc><lastmod>2017-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/churn-prediction-in-mobile-social-games-towards-a-complete-assessment-using-survival-ensembles-1710.02264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/churn-prediction-in-mobile-social-games-towards-a-complete-assessment-using-survival-ensembles-1710.02264"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-playing-patterns-time-series-clustering-of-free-to-play-game-data-1710.02268</loc><lastmod>2017-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-playing-patterns-time-series-clustering-of-free-to-play-game-data-1710.02268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-playing-patterns-time-series-clustering-of-free-to-play-game-data-1710.02268"/></url>
<url><loc>https://scifaro.com/en/abs/accumulated-gradient-normalization-1710.02368</loc><lastmod>2017-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accumulated-gradient-normalization-1710.02368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accumulated-gradient-normalization-1710.02368"/></url>
<url><loc>https://scifaro.com/en/abs/dictionary-free-mri-perk-parameter-estimation-via-regression-with-kernels-1710.02441</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dictionary-free-mri-perk-parameter-estimation-via-regression-with-kernels-1710.02441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dictionary-free-mri-perk-parameter-estimation-via-regression-with-kernels-1710.02441"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-and-selection-with-covariates-for-personalized-decision-making-1710.02642</loc><lastmod>2022-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-and-selection-with-covariates-for-personalized-decision-making-1710.02642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-and-selection-with-covariates-for-personalized-decision-making-1710.02642"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-alignments-of-warped-multi-output-gaussian-processes-1710.02766</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-alignments-of-warped-multi-output-gaussian-processes-1710.02766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-alignments-of-warped-multi-output-gaussian-processes-1710.02766"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-interpretability-of-black-box-soft-margin-svm-by-integrating-data-based-priors-1710.02924</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-interpretability-of-black-box-soft-margin-svm-by-integrating-data-based-priors-1710.02924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-interpretability-of-black-box-soft-margin-svm-by-integrating-data-based-priors-1710.02924"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-regularized-likelihood-estimators-a-general-prediction-theory-and-applications-1710.02950</loc><lastmod>2018-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-regularized-likelihood-estimators-a-general-prediction-theory-and-applications-1710.02950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-regularized-likelihood-estimators-a-general-prediction-theory-and-applications-1710.02950"/></url>
<url><loc>https://scifaro.com/en/abs/conic-scan-and-cover-algorithms-for-nonparametric-topic-modeling-1710.02952</loc><lastmod>2017-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conic-scan-and-cover-algorithms-for-nonparametric-topic-modeling-1710.02952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conic-scan-and-cover-algorithms-for-nonparametric-topic-modeling-1710.02952"/></url>
<url><loc>https://scifaro.com/en/abs/lagged-exact-bayesian-online-changepoint-detection-with-parameter-estimation-1710.03276</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lagged-exact-bayesian-online-changepoint-detection-with-parameter-estimation-1710.03276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lagged-exact-bayesian-online-changepoint-detection-with-parameter-estimation-1710.03276"/></url>
<url><loc>https://scifaro.com/en/abs/safe-semi-supervised-learning-of-sum-product-networks-1710.03444</loc><lastmod>2017-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-semi-supervised-learning-of-sum-product-networks-1710.03444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-semi-supervised-learning-of-sum-product-networks-1710.03444"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-modeling-with-structured-penalties-for-classification-from-imaging-genetics-data-1710.03627</loc><lastmod>2017-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-modeling-with-structured-penalties-for-classification-from-imaging-genetics-data-1710.03627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-modeling-with-structured-penalties-for-classification-from-imaging-genetics-data-1710.03627"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-dynamics-of-generalization-error-in-neural-networks-1710.03667</loc><lastmod>2017-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-dynamics-of-generalization-error-in-neural-networks-1710.03667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-dynamics-of-generalization-error-in-neural-networks-1710.03667"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-community-trees-in-networks-1710.03924</loc><lastmod>2017-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-community-trees-in-networks-1710.03924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-community-trees-in-networks-1710.03924"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-multi-penalty-regularization-based-on-a-generalized-lasso-path-1710.03971</loc><lastmod>2017-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-multi-penalty-regularization-based-on-a-generalized-lasso-path-1710.03971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-multi-penalty-regularization-based-on-a-generalized-lasso-path-1710.03971"/></url>
<url><loc>https://scifaro.com/en/abs/a-dynamic-edge-exchangeable-model-for-sparse-temporal-networks-1710.04008</loc><lastmod>2017-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dynamic-edge-exchangeable-model-for-sparse-temporal-networks-1710.04008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dynamic-edge-exchangeable-model-for-sparse-temporal-networks-1710.04008"/></url>
<url><loc>https://scifaro.com/en/abs/quantized-minimum-error-entropy-criterion-1710.04089</loc><lastmod>2017-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantized-minimum-error-entropy-criterion-1710.04089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantized-minimum-error-entropy-criterion-1710.04089"/></url>
<url><loc>https://scifaro.com/en/abs/wembedder-wikidata-entity-embedding-web-service-1710.04099</loc><lastmod>2017-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wembedder-wikidata-entity-embedding-web-service-1710.04099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wembedder-wikidata-entity-embedding-web-service-1710.04099"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-margin-interval-trees-1710.04234</loc><lastmod>2017-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-margin-interval-trees-1710.04234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-margin-interval-trees-1710.04234"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-neural-network-approach-for-estimating-travel-time-and-distance-for-a-taxi-trip-1710.04350</loc><lastmod>2017-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-neural-network-approach-for-estimating-travel-time-and-distance-for-a-taxi-trip-1710.04350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-neural-network-approach-for-estimating-travel-time-and-distance-for-a-taxi-trip-1710.04350"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-in-multiple-multistep-time-series-prediction-1710.04373</loc><lastmod>2017-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-in-multiple-multistep-time-series-prediction-1710.04373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-in-multiple-multistep-time-series-prediction-1710.04373"/></url>
<url><loc>https://scifaro.com/en/abs/effects-of-images-with-different-levels-of-familiarity-on-eeg-1710.04462</loc><lastmod>2017-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effects-of-images-with-different-levels-of-familiarity-on-eeg-1710.04462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effects-of-images-with-different-levels-of-familiarity-on-eeg-1710.04462"/></url>
<url><loc>https://scifaro.com/en/abs/dimensionality-reduction-ensembles-1710.04484</loc><lastmod>2017-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimensionality-reduction-ensembles-1710.04484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimensionality-reduction-ensembles-1710.04484"/></url>
<url><loc>https://scifaro.com/en/abs/subjectively-interesting-subgroup-discovery-on-real-valued-targets-1710.04521</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subjectively-interesting-subgroup-discovery-on-real-valued-targets-1710.04521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subjectively-interesting-subgroup-discovery-on-real-valued-targets-1710.04521"/></url>
<url><loc>https://scifaro.com/en/abs/game-theoretic-design-of-secure-and-resilient-distributed-support-vector-machines-with-adversaries-1710.04677</loc><lastmod>2017-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/game-theoretic-design-of-secure-and-resilient-distributed-support-vector-machines-with-adversaries-1710.04677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/game-theoretic-design-of-secure-and-resilient-distributed-support-vector-machines-with-adversaries-1710.04677"/></url>
<url><loc>https://scifaro.com/en/abs/hyperparameter-importance-across-datasets-1710.04725</loc><lastmod>2018-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperparameter-importance-across-datasets-1710.04725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperparameter-importance-across-datasets-1710.04725"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-runtime-efficacy-trade-off-of-anomaly-detection-techniques-for-real-time-streaming-data-1710.04735</loc><lastmod>2017-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-runtime-efficacy-trade-off-of-anomaly-detection-techniques-for-real-time-streaming-data-1710.04735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-runtime-efficacy-trade-off-of-anomaly-detection-techniques-for-real-time-streaming-data-1710.04735"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-hypernetworks-1710.04759</loc><lastmod>2018-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-hypernetworks-1710.04759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-hypernetworks-1710.04759"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-by-unitary-tensor-network-of-hierarchical-tree-structure-1710.04833</loc><lastmod>2019-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-by-unitary-tensor-network-of-hierarchical-tree-structure-1710.04833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-by-unitary-tensor-network-of-hierarchical-tree-structure-1710.04833"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-regularization-based-on-nystr-o-m-type-subsampling-1710.04872</loc><lastmod>2024-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-regularization-based-on-nystr-o-m-type-subsampling-1710.04872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-regularization-based-on-nystr-o-m-type-subsampling-1710.04872"/></url>
<url><loc>https://scifaro.com/en/abs/two-stage-algorithm-for-fairness-aware-machine-learning-1710.04924</loc><lastmod>2017-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-stage-algorithm-for-fairness-aware-machine-learning-1710.04924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-stage-algorithm-for-fairness-aware-machine-learning-1710.04924"/></url>
<url><loc>https://scifaro.com/en/abs/learning-independent-features-with-adversarial-nets-for-non-linear-ica-1710.05050</loc><lastmod>2017-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-independent-features-with-adversarial-nets-for-non-linear-ica-1710.05050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-independent-features-with-adversarial-nets-for-non-linear-ica-1710.05050"/></url>
<url><loc>https://scifaro.com/en/abs/automated-scalable-bayesian-inference-via-hilbert-coresets-1710.05053</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-scalable-bayesian-inference-via-hilbert-coresets-1710.05053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-scalable-bayesian-inference-via-hilbert-coresets-1710.05053"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-real-time-control-through-variational-empowerment-1710.05101</loc><lastmod>2017-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-real-time-control-through-variational-empowerment-1710.05101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-real-time-control-through-variational-empowerment-1710.05101"/></url>
<url><loc>https://scifaro.com/en/abs/benefits-from-superposed-hawkes-processes-1710.05115</loc><lastmod>2018-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benefits-from-superposed-hawkes-processes-1710.05115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benefits-from-superposed-hawkes-processes-1710.05115"/></url>
<url><loc>https://scifaro.com/en/abs/an-improved-modified-cholesky-decomposition-method-for-precision-matrix-estimation-1710.05163</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improved-modified-cholesky-decomposition-method-for-precision-matrix-estimation-1710.05163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improved-modified-cholesky-decomposition-method-for-precision-matrix-estimation-1710.05163"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneous-matrix-diagonalization-for-structural-brain-networks-classification-1710.05213</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneous-matrix-diagonalization-for-structural-brain-networks-classification-1710.05213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneous-matrix-diagonalization-for-structural-brain-networks-classification-1710.05213"/></url>
<url><loc>https://scifaro.com/en/abs/facial-keypoints-detection-1710.05279</loc><lastmod>2017-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/facial-keypoints-detection-1710.05279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/facial-keypoints-detection-1710.05279"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-representation-learning-for-positive-unlabeled-classification-1710.05359</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-representation-learning-for-positive-unlabeled-classification-1710.05359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-representation-learning-for-positive-unlabeled-classification-1710.05359"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-in-deep-learning-1710.05468</loc><lastmod>2023-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-in-deep-learning-1710.05468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-in-deep-learning-1710.05468"/></url>
<url><loc>https://scifaro.com/en/abs/calibrated-boosting-forest-1710.05476</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrated-boosting-forest-1710.05476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrated-boosting-forest-1710.05476"/></url>
<url><loc>https://scifaro.com/en/abs/robust-maximum-likelihood-estimation-of-sparse-vector-error-correction-model-1710.05513</loc><lastmod>2017-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-maximum-likelihood-estimation-of-sparse-vector-error-correction-model-1710.05513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-maximum-likelihood-estimation-of-sparse-vector-error-correction-model-1710.05513"/></url>
<url><loc>https://scifaro.com/en/abs/fully-adaptive-algorithm-for-pure-exploration-in-linear-bandits-1710.05552</loc><lastmod>2017-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-adaptive-algorithm-for-pure-exploration-in-linear-bandits-1710.05552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-adaptive-algorithm-for-pure-exploration-in-linear-bandits-1710.05552"/></url>
<url><loc>https://scifaro.com/en/abs/fair-kernel-learning-1710.05578</loc><lastmod>2017-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-kernel-learning-1710.05578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-kernel-learning-1710.05578"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-graph-learning-from-smooth-signals-1710.05654</loc><lastmod>2019-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-graph-learning-from-smooth-signals-1710.05654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-graph-learning-from-smooth-signals-1710.05654"/></url>
<url><loc>https://scifaro.com/en/abs/a-disentangled-recognition-and-nonlinear-dynamics-model-for-unsupervised-learning-1710.05741</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-disentangled-recognition-and-nonlinear-dynamics-model-for-unsupervised-learning-1710.05741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-disentangled-recognition-and-nonlinear-dynamics-model-for-unsupervised-learning-1710.05741"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-prediction-predicting-stock-price-1710.05751</loc><lastmod>2017-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-prediction-predicting-stock-price-1710.05751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-prediction-predicting-stock-price-1710.05751"/></url>
<url><loc>https://scifaro.com/en/abs/nonsmooth-frank-wolfe-using-uniform-affine-approximations-1710.05776</loc><lastmod>2018-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonsmooth-frank-wolfe-using-uniform-affine-approximations-1710.05776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonsmooth-frank-wolfe-using-uniform-affine-approximations-1710.05776"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-linear-isotonic-models-1710.05989</loc><lastmod>2017-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-linear-isotonic-models-1710.05989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-linear-isotonic-models-1710.05989"/></url>
<url><loc>https://scifaro.com/en/abs/vampnets-deep-learning-of-molecular-kinetics-1710.06012</loc><lastmod>2018-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vampnets-deep-learning-of-molecular-kinetics-1710.06012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vampnets-deep-learning-of-molecular-kinetics-1710.06012"/></url>
<url><loc>https://scifaro.com/en/abs/estimate-exponential-memory-decay-in-hidden-markov-model-and-its-applications-1710.06078</loc><lastmod>2025-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimate-exponential-memory-decay-in-hidden-markov-model-and-its-applications-1710.06078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimate-exponential-memory-decay-in-hidden-markov-model-and-its-applications-1710.06078"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-challenges-of-learning-with-inference-networks-on-sparse-high-dimensional-data-1710.06085</loc><lastmod>2017-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-challenges-of-learning-with-inference-networks-on-sparse-high-dimensional-data-1710.06085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-challenges-of-learning-with-inference-networks-on-sparse-high-dimensional-data-1710.06085"/></url>
<url><loc>https://scifaro.com/en/abs/distill-and-compare-auditing-black-box-models-using-transparent-model-distillation-1710.06169</loc><lastmod>2018-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distill-and-compare-auditing-black-box-models-using-transparent-model-distillation-1710.06169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distill-and-compare-auditing-black-box-models-using-transparent-model-distillation-1710.06169"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-warm-start-bayesian-hyperparameter-optimization-1710.06219</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-warm-start-bayesian-hyperparameter-optimization-1710.06219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-warm-start-bayesian-hyperparameter-optimization-1710.06219"/></url>
<url><loc>https://scifaro.com/en/abs/smooth-and-sparse-optimal-transport-1710.06276</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smooth-and-sparse-optimal-transport-1710.06276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smooth-and-sparse-optimal-transport-1710.06276"/></url>
<url><loc>https://scifaro.com/en/abs/good-arm-identification-via-bandit-feedback-1710.06360</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/good-arm-identification-via-bandit-feedback-1710.06360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/good-arm-identification-via-bandit-feedback-1710.06360"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-diagnostics-for-stochastic-gradient-descent-with-constant-step-size-1710.06382</loc><lastmod>2018-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-diagnostics-for-stochastic-gradient-descent-with-constant-step-size-1710.06382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-diagnostics-for-stochastic-gradient-descent-with-constant-step-size-1710.06382"/></url>
<url><loc>https://scifaro.com/en/abs/s-isomap-multi-manifold-learning-from-streaming-data-1710.06462</loc><lastmod>2018-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/s-isomap-multi-manifold-learning-from-streaming-data-1710.06462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/s-isomap-multi-manifold-learning-from-streaming-data-1710.06462"/></url>
<url><loc>https://scifaro.com/en/abs/a-correspondence-between-random-neural-networks-and-statistical-field-theory-1710.06570</loc><lastmod>2017-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-correspondence-between-random-neural-networks-and-statistical-field-theory-1710.06570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-correspondence-between-random-neural-networks-and-statistical-field-theory-1710.06570"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-based-on-robust-divergences-1710.06595</loc><lastmod>2018-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-based-on-robust-divergences-1710.06595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-based-on-robust-divergences-1710.06595"/></url>
<url><loc>https://scifaro.com/en/abs/phase-transitions-in-the-pooled-data-problem-1710.06766</loc><lastmod>2017-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phase-transitions-in-the-pooled-data-problem-1710.06766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phase-transitions-in-the-pooled-data-problem-1710.06766"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-tensor-decomposition-for-learning-latent-variables-with-partial-data-1710.06818</loc><lastmod>2019-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-tensor-decomposition-for-learning-latent-variables-with-partial-data-1710.06818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-tensor-decomposition-for-learning-latent-variables-with-partial-data-1710.06818"/></url>
<url><loc>https://scifaro.com/en/abs/characterization-of-gradient-dominance-and-regularity-conditions-for-neural-networks-1710.06910</loc><lastmod>2017-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterization-of-gradient-dominance-and-regularity-conditions-for-neural-networks-1710.06910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterization-of-gradient-dominance-and-regularity-conditions-for-neural-networks-1710.06910"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-estimation-of-bandable-precision-matrices-1710.07006</loc><lastmod>2017-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-estimation-of-bandable-precision-matrices-1710.07006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-estimation-of-bandable-precision-matrices-1710.07006"/></url>
<url><loc>https://scifaro.com/en/abs/binary-classification-from-positive-confidence-data-1710.07138</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-classification-from-positive-confidence-data-1710.07138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-classification-from-positive-confidence-data-1710.07138"/></url>
<url><loc>https://scifaro.com/en/abs/decomposition-of-uncertainty-in-bayesian-deep-learning-for-efficient-and-risk-sensitive-learning-1710.07283</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decomposition-of-uncertainty-in-bayesian-deep-learning-for-efficient-and-risk-sensitive-learning-1710.07283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decomposition-of-uncertainty-in-bayesian-deep-learning-for-efficient-and-risk-sensitive-learning-1710.07283"/></url>
<url><loc>https://scifaro.com/en/abs/frequency-based-index-estimating-the-subclusters-connection-strength-1710.07340</loc><lastmod>2017-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frequency-based-index-estimating-the-subclusters-connection-strength-1710.07340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frequency-based-index-estimating-the-subclusters-connection-strength-1710.07340"/></url>
<url><loc>https://scifaro.com/en/abs/linear-time-algorithm-in-bayesian-image-denoising-based-on-gaussian-markov-random-field-1710.07393</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-time-algorithm-in-bayesian-image-denoising-based-on-gaussian-markov-random-field-1710.07393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-time-algorithm-in-bayesian-image-denoising-based-on-gaussian-markov-random-field-1710.07393"/></url>
<url><loc>https://scifaro.com/en/abs/ligand-pose-optimization-with-atomic-grid-based-convolutional-neural-networks-1710.07400</loc><lastmod>2017-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ligand-pose-optimization-with-atomic-grid-based-convolutional-neural-networks-1710.07400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ligand-pose-optimization-with-atomic-grid-based-convolutional-neural-networks-1710.07400"/></url>
<url><loc>https://scifaro.com/en/abs/first-order-methods-almost-always-avoid-saddle-points-1710.07406</loc><lastmod>2017-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/first-order-methods-almost-always-avoid-saddle-points-1710.07406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/first-order-methods-almost-always-avoid-saddle-points-1710.07406"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-empirical-risk-minimization-with-input-perturbation-1710.07425</loc><lastmod>2017-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-empirical-risk-minimization-with-input-perturbation-1710.07425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-empirical-risk-minimization-with-input-perturbation-1710.07425"/></url>
<url><loc>https://scifaro.com/en/abs/finite-dimensional-gaussian-approximation-with-linear-inequality-constraints-1710.07453</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-dimensional-gaussian-approximation-with-linear-inequality-constraints-1710.07453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-dimensional-gaussian-approximation-with-linear-inequality-constraints-1710.07453"/></url>
<url><loc>https://scifaro.com/en/abs/learning-wasserstein-embeddings-1710.07457</loc><lastmod>2017-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-wasserstein-embeddings-1710.07457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-wasserstein-embeddings-1710.07457"/></url>
<url><loc>https://scifaro.com/en/abs/belief-propagation-min-sum-algorithm-for-generalized-min-cost-network-flow-1710.07600</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/belief-propagation-min-sum-algorithm-for-generalized-min-cost-network-flow-1710.07600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/belief-propagation-min-sum-algorithm-for-generalized-min-cost-network-flow-1710.07600"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-consistency-of-graph-based-bayesian-learning-and-the-scalability-of-sampling-algorithms-1710.07702</loc><lastmod>2020-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-consistency-of-graph-based-bayesian-learning-and-the-scalability-of-sampling-algorithms-1710.07702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-consistency-of-graph-based-bayesian-learning-and-the-scalability-of-sampling-algorithms-1710.07702"/></url>
<url><loc>https://scifaro.com/en/abs/towards-black-box-iterative-machine-teaching-1710.07742</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-black-box-iterative-machine-teaching-1710.07742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-black-box-iterative-machine-teaching-1710.07742"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-rates-for-learning-with-nystr-om-stochastic-gradient-methods-1710.07797</loc><lastmod>2017-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-rates-for-learning-with-nystr-om-stochastic-gradient-methods-1710.07797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-rates-for-learning-with-nystr-om-stochastic-gradient-methods-1710.07797"/></url>
<url><loc>https://scifaro.com/en/abs/zeroth-order-online-alternating-direction-method-of-multipliers-convergence-analysis-and-applications-1710.07804</loc><lastmod>2018-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zeroth-order-online-alternating-direction-method-of-multipliers-convergence-analysis-and-applications-1710.07804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zeroth-order-online-alternating-direction-method-of-multipliers-convergence-analysis-and-applications-1710.07804"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-network-approximation-using-tensor-sketching-1710.07850</loc><lastmod>2017-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-network-approximation-using-tensor-sketching-1710.07850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-network-approximation-using-tensor-sketching-1710.07850"/></url>
<url><loc>https://scifaro.com/en/abs/elliptical-modeling-and-pattern-analysis-for-perturbation-models-and-classfication-1710.07939</loc><lastmod>2017-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elliptical-modeling-and-pattern-analysis-for-perturbation-models-and-classfication-1710.07939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elliptical-modeling-and-pattern-analysis-for-perturbation-models-and-classfication-1710.07939"/></url>
<url><loc>https://scifaro.com/en/abs/an-approach-to-one-bit-compressed-sensing-based-on-probably-approximately-correct-learning-theory-1710.07973</loc><lastmod>2017-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-approach-to-one-bit-compressed-sensing-based-on-probably-approximately-correct-learning-theory-1710.07973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-approach-to-one-bit-compressed-sensing-based-on-probably-approximately-correct-learning-theory-1710.07973"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-generalization-in-the-subspaces-for-faster-model-based-learning-1710.08012</loc><lastmod>2017-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-generalization-in-the-subspaces-for-faster-model-based-learning-1710.08012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-generalization-in-the-subspaces-for-faster-model-based-learning-1710.08012"/></url>
<url><loc>https://scifaro.com/en/abs/online-boosting-algorithms-for-multi-label-ranking-1710.08079</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-boosting-algorithms-for-multi-label-ranking-1710.08079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-boosting-algorithms-for-multi-label-ranking-1710.08079"/></url>
<url><loc>https://scifaro.com/en/abs/fast-mcmc-sampling-algorithms-on-polytopes-1710.08165</loc><lastmod>2019-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-mcmc-sampling-algorithms-on-polytopes-1710.08165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-mcmc-sampling-algorithms-on-polytopes-1710.08165"/></url>
<url><loc>https://scifaro.com/en/abs/interactive-visual-data-exploration-with-subjective-feedback-an-information-theoretic-approach-1710.08167</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interactive-visual-data-exploration-with-subjective-feedback-an-information-theoretic-approach-1710.08167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interactive-visual-data-exploration-with-subjective-feedback-an-information-theoretic-approach-1710.08167"/></url>
<url><loc>https://scifaro.com/en/abs/stability-and-generalization-of-learning-algorithms-that-converge-to-global-optima-1710.08402</loc><lastmod>2017-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-and-generalization-of-learning-algorithms-that-converge-to-global-optima-1710.08402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-and-generalization-of-learning-algorithms-that-converge-to-global-optima-1710.08402"/></url>
<url><loc>https://scifaro.com/en/abs/many-paths-to-equilibrium-gans-do-not-need-to-decrease-a-divergence-at-every-step-1710.08446</loc><lastmod>2018-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/many-paths-to-equilibrium-gans-do-not-need-to-decrease-a-divergence-at-every-step-1710.08446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/many-paths-to-equilibrium-gans-do-not-need-to-decrease-a-divergence-at-every-step-1710.08446"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-machine-learning-for-privacy-preserving-pervasive-systems-1710.08464</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-machine-learning-for-privacy-preserving-pervasive-systems-1710.08464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-machine-learning-for-privacy-preserving-pervasive-systems-1710.08464"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-for-long-range-and-cold-start-forecasting-of-seasonal-profiles-in-time-series-1710.08473</loc><lastmod>2018-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-for-long-range-and-cold-start-forecasting-of-seasonal-profiles-in-time-series-1710.08473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-for-long-range-and-cold-start-forecasting-of-seasonal-profiles-in-time-series-1710.08473"/></url>
<url><loc>https://scifaro.com/en/abs/display-advertising-estimating-conversion-probability-efficiently-1710.08583</loc><lastmod>2017-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/display-advertising-estimating-conversion-probability-efficiently-1710.08583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/display-advertising-estimating-conversion-probability-efficiently-1710.08583"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-deep-learning-applied-to-plant-stress-phenotyping-1710.08619</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-deep-learning-applied-to-plant-stress-phenotyping-1710.08619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-deep-learning-applied-to-plant-stress-phenotyping-1710.08619"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-method-for-joint-clustering-of-vectorial-data-and-network-data-1710.08846</loc><lastmod>2017-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-method-for-joint-clustering-of-vectorial-data-and-network-data-1710.08846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-method-for-joint-clustering-of-vectorial-data-and-network-data-1710.08846"/></url>
<url><loc>https://scifaro.com/en/abs/curvature-aided-incremental-aggregated-gradient-method-1710.08936</loc><lastmod>2017-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curvature-aided-incremental-aggregated-gradient-method-1710.08936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curvature-aided-incremental-aggregated-gradient-method-1710.08936"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-the-operating-characteristics-of-ensemble-methods-1710.08952</loc><lastmod>2017-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-the-operating-characteristics-of-ensemble-methods-1710.08952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-the-operating-characteristics-of-ensemble-methods-1710.08952"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-text-with-the-class-affinity-model-1710.08963</loc><lastmod>2017-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-text-with-the-class-affinity-model-1710.08963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-text-with-the-class-affinity-model-1710.08963"/></url>
<url><loc>https://scifaro.com/en/abs/learning-hidden-quantum-markov-models-1710.09016</loc><lastmod>2017-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-hidden-quantum-markov-models-1710.09016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-hidden-quantum-markov-models-1710.09016"/></url>
<url><loc>https://scifaro.com/en/abs/inversion-using-a-new-low-dimensional-representation-of-complex-binary-geological-media-based-on-a-deep-neural-network-1710.09196</loc><lastmod>2017-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inversion-using-a-new-low-dimensional-representation-of-complex-binary-geological-media-based-on-a-deep-neural-network-1710.09196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inversion-using-a-new-low-dimensional-representation-of-complex-binary-geological-media-based-on-a-deep-neural-network-1710.09196"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-networks-1710.09302</loc><lastmod>2017-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-networks-1710.09302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-networks-1710.09302"/></url>
<url><loc>https://scifaro.com/en/abs/geoseq2seq-information-geometric-sequence-to-sequence-networks-1710.09363</loc><lastmod>2018-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geoseq2seq-information-geometric-sequence-to-sequence-networks-1710.09363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geoseq2seq-information-geometric-sequence-to-sequence-networks-1710.09363"/></url>
<url><loc>https://scifaro.com/en/abs/a-markov-chain-theory-approach-to-characterizing-the-minimax-optimality-of-stochastic-gradient-descent-for-least-squares-1710.09430</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-markov-chain-theory-approach-to-characterizing-the-minimax-optimality-of-stochastic-gradient-descent-for-least-squares-1710.09430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-markov-chain-theory-approach-to-characterizing-the-minimax-optimality-of-stochastic-gradient-descent-for-least-squares-1710.09430"/></url>
<url><loc>https://scifaro.com/en/abs/malware-detection-by-eating-a-whole-exe-1710.09435</loc><lastmod>2017-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/malware-detection-by-eating-a-whole-exe-1710.09435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/malware-detection-by-eating-a-whole-exe-1710.09435"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-over-the-stiefel-manifold-via-the-givens-representation-1710.09443</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-over-the-stiefel-manifold-via-the-givens-representation-1710.09443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-over-the-stiefel-manifold-via-the-givens-representation-1710.09443"/></url>
<url><loc>https://scifaro.com/en/abs/inductive-representation-learning-in-large-attributed-graphs-1710.09471</loc><lastmod>2017-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inductive-representation-learning-in-large-attributed-graphs-1710.09471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inductive-representation-learning-in-large-attributed-graphs-1710.09471"/></url>
<url><loc>https://scifaro.com/en/abs/reparameterizing-the-birkhoff-polytope-for-variational-permutation-inference-1710.09508</loc><lastmod>2017-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reparameterizing-the-birkhoff-polytope-for-variational-permutation-inference-1710.09508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reparameterizing-the-birkhoff-polytope-for-variational-permutation-inference-1710.09508"/></url>
<url><loc>https://scifaro.com/en/abs/interpnet-neural-introspection-for-interpretable-deep-learning-1710.09511</loc><lastmod>2017-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpnet-neural-introspection-for-interpretable-deep-learning-1710.09511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpnet-neural-introspection-for-interpretable-deep-learning-1710.09511"/></url>
<url><loc>https://scifaro.com/en/abs/laplacian-prior-variational-automatic-relevance-determination-for-transmission-tomography-1710.09522</loc><lastmod>2017-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/laplacian-prior-variational-automatic-relevance-determination-for-transmission-tomography-1710.09522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/laplacian-prior-variational-automatic-relevance-determination-for-transmission-tomography-1710.09522"/></url>
<url><loc>https://scifaro.com/en/abs/duality-free-methods-for-stochastic-composition-optimization-1710.09554</loc><lastmod>2017-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/duality-free-methods-for-stochastic-composition-optimization-1710.09554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/duality-free-methods-for-stochastic-composition-optimization-1710.09554"/></url>
<url><loc>https://scifaro.com/en/abs/big-data-classification-using-augmented-decision-trees-1710.09567</loc><lastmod>2017-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/big-data-classification-using-augmented-decision-trees-1710.09567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/big-data-classification-using-augmented-decision-trees-1710.09567"/></url>
<url><loc>https://scifaro.com/en/abs/biologically-inspired-feedforward-supervised-learning-for-deep-self-organizing-map-networks-1710.09574</loc><lastmod>2017-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biologically-inspired-feedforward-supervised-learning-for-deep-self-organizing-map-networks-1710.09574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biologically-inspired-feedforward-supervised-learning-for-deep-self-organizing-map-networks-1710.09574"/></url>
<url><loc>https://scifaro.com/en/abs/from-distance-correlation-to-multiscale-graph-correlation-1710.09768</loc><lastmod>2024-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-distance-correlation-to-multiscale-graph-correlation-1710.09768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-distance-correlation-to-multiscale-graph-correlation-1710.09768"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-k-groups-via-hartigan-s-method-1710.09859</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-k-groups-via-hartigan-s-method-1710.09859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-k-groups-via-hartigan-s-method-1710.09859"/></url>
<url><loc>https://scifaro.com/en/abs/on-denoising-modulo-1-samples-of-a-function-1710.10210</loc><lastmod>2018-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-denoising-modulo-1-samples-of-a-function-1710.10210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-denoising-modulo-1-samples-of-a-function-1710.10210"/></url>
<url><loc>https://scifaro.com/en/abs/probability-series-expansion-classifier-that-is-interpretable-by-design-1710.10301</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probability-series-expansion-classifier-that-is-interpretable-by-design-1710.10301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probability-series-expansion-classifier-that-is-interpretable-by-design-1710.10301"/></url>
<url><loc>https://scifaro.com/en/abs/similarity-based-multi-label-learning-1710.10335</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/similarity-based-multi-label-learning-1710.10335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/similarity-based-multi-label-learning-1710.10335"/></url>
<url><loc>https://scifaro.com/en/abs/the-implicit-bias-of-gradient-descent-on-separable-data-1710.10345</loc><lastmod>2024-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-implicit-bias-of-gradient-descent-on-separable-data-1710.10345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-implicit-bias-of-gradient-descent-on-separable-data-1710.10345"/></url>
<url><loc>https://scifaro.com/en/abs/multi-level-residual-networks-from-dynamical-systems-view-1710.10348</loc><lastmod>2018-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-level-residual-networks-from-dynamical-systems-view-1710.10348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-level-residual-networks-from-dynamical-systems-view-1710.10348"/></url>
<url><loc>https://scifaro.com/en/abs/automated-design-using-neural-networks-and-gradient-descent-1710.10352</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-design-using-neural-networks-and-gradient-descent-1710.10352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-design-using-neural-networks-and-gradient-descent-1710.10352"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-rates-and-efficient-algorithms-for-noisy-sorting-1710.10388</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-rates-and-efficient-algorithms-for-noisy-sorting-1710.10388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-rates-and-efficient-algorithms-for-noisy-sorting-1710.10388"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-localized-inference-for-large-graphical-models-1710.10404</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-localized-inference-for-large-graphical-models-1710.10404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-localized-inference-for-large-graphical-models-1710.10404"/></url>
<url><loc>https://scifaro.com/en/abs/crime-incidents-embedding-using-restricted-boltzmann-machines-1710.10513</loc><lastmod>2018-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crime-incidents-embedding-using-restricted-boltzmann-machines-1710.10513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crime-incidents-embedding-using-restricted-boltzmann-machines-1710.10513"/></url>
<url><loc>https://scifaro.com/en/abs/interpretation-of-neural-networks-is-fragile-1710.10547</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretation-of-neural-networks-is-fragile-1710.10547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretation-of-neural-networks-is-fragile-1710.10547"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-zeroth-order-optimization-in-high-dimensions-1710.10551</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-zeroth-order-optimization-in-high-dimensions-1710.10551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-zeroth-order-optimization-in-high-dimensions-1710.10551"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-training-of-graph-convolutional-networks-with-variance-reduction-1710.10568</loc><lastmod>2018-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-training-of-graph-convolutional-networks-with-variance-reduction-1710.10568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-training-of-graph-convolutional-networks-with-variance-reduction-1710.10568"/></url>
<url><loc>https://scifaro.com/en/abs/certifying-some-distributional-robustness-with-principled-adversarial-training-1710.10571</loc><lastmod>2020-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certifying-some-distributional-robustness-with-principled-adversarial-training-1710.10571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certifying-some-distributional-robustness-with-principled-adversarial-training-1710.10571"/></url>
<url><loc>https://scifaro.com/en/abs/variational-continual-learning-1710.10628</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-continual-learning-1710.10628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-continual-learning-1710.10628"/></url>
<url><loc>https://scifaro.com/en/abs/dimensionality-reduction-methods-for-molecular-simulations-1710.10629</loc><lastmod>2017-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimensionality-reduction-methods-for-molecular-simulations-1710.10629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimensionality-reduction-methods-for-molecular-simulations-1710.10629"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-consistency-of-quick-shift-1710.10646</loc><lastmod>2017-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-consistency-of-quick-shift-1710.10646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-consistency-of-quick-shift-1710.10646"/></url>
<url><loc>https://scifaro.com/en/abs/if-it-ain-t-broke-don-t-fix-it-sparse-metric-repair-1710.10655</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/if-it-ain-t-broke-don-t-fix-it-sparse-metric-repair-1710.10655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/if-it-ain-t-broke-don-t-fix-it-sparse-metric-repair-1710.10655"/></url>
<url><loc>https://scifaro.com/en/abs/training-probabilistic-spiking-neural-networks-with-first-to-spike-decoding-1710.10704</loc><lastmod>2018-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-probabilistic-spiking-neural-networks-with-first-to-spike-decoding-1710.10704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-probabilistic-spiking-neural-networks-with-first-to-spike-decoding-1710.10704"/></url>
<url><loc>https://scifaro.com/en/abs/globally-optimal-symbolic-regression-1710.10720</loc><lastmod>2017-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/globally-optimal-symbolic-regression-1710.10720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/globally-optimal-symbolic-regression-1710.10720"/></url>
<url><loc>https://scifaro.com/en/abs/attacking-the-madry-defense-model-with-l-1-based-adversarial-examples-1710.10733</loc><lastmod>2018-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attacking-the-madry-defense-model-with-l-1-based-adversarial-examples-1710.10733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attacking-the-madry-defense-model-with-l-1-based-adversarial-examples-1710.10733"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-causal-models-for-genome-wide-association-studies-1710.10742</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-causal-models-for-genome-wide-association-studies-1710.10742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-causal-models-for-genome-wide-association-studies-1710.10742"/></url>
<url><loc>https://scifaro.com/en/abs/distance-based-classifier-by-data-transformation-for-high-dimension-strongly-spiked-eigenvalue-models-1710.10768</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distance-based-classifier-by-data-transformation-for-high-dimension-strongly-spiked-eigenvalue-models-1710.10768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distance-based-classifier-by-data-transformation-for-high-dimension-strongly-spiked-eigenvalue-models-1710.10768"/></url>
<url><loc>https://scifaro.com/en/abs/communication-avoiding-optimization-methods-for-distributed-massive-scale-sparse-inverse-covariance-estimation-1710.10769</loc><lastmod>2022-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-avoiding-optimization-methods-for-distributed-massive-scale-sparse-inverse-covariance-estimation-1710.10769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-avoiding-optimization-methods-for-distributed-massive-scale-sparse-inverse-covariance-estimation-1710.10769"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-gans-the-lqg-setting-1710.10793</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-gans-the-lqg-setting-1710.10793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-gans-the-lqg-setting-1710.10793"/></url>
<url><loc>https://scifaro.com/en/abs/hit-song-prediction-for-pop-music-by-siamese-cnn-with-ranking-loss-1710.10814</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hit-song-prediction-for-pop-music-by-siamese-cnn-with-ranking-loss-1710.10814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hit-song-prediction-for-pop-music-by-siamese-cnn-with-ranking-loss-1710.10814"/></url>
<url><loc>https://scifaro.com/en/abs/unifying-value-iteration-advantage-learning-and-dynamic-policy-programming-1710.10866</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unifying-value-iteration-advantage-learning-and-dynamic-policy-programming-1710.10866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unifying-value-iteration-advantage-learning-and-dynamic-policy-programming-1710.10866"/></url>
<url><loc>https://scifaro.com/en/abs/fast-linear-model-for-knowledge-graph-embeddings-1710.10881</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-linear-model-for-knowledge-graph-embeddings-1710.10881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-linear-model-for-knowledge-graph-embeddings-1710.10881"/></url>
<url><loc>https://scifaro.com/en/abs/graph-attention-networks-1710.10903</loc><lastmod>2018-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-attention-networks-1710.10903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-attention-networks-1710.10903"/></url>
<url><loc>https://scifaro.com/en/abs/non-linear-reduced-modeling-of-dynamical-systems-using-kernel-methods-and-low-rank-approximation-1710.10919</loc><lastmod>2025-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-linear-reduced-modeling-of-dynamical-systems-using-kernel-methods-and-low-rank-approximation-1710.10919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-linear-reduced-modeling-of-dynamical-systems-using-kernel-methods-and-low-rank-approximation-1710.10919"/></url>
<url><loc>https://scifaro.com/en/abs/a-connection-between-feed-forward-neural-networks-and-probabilistic-graphical-models-1710.11052</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-connection-between-feed-forward-neural-networks-and-probabilistic-graphical-models-1710.11052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-connection-between-feed-forward-neural-networks-and-probabilistic-graphical-models-1710.11052"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-rates-of-latent-topic-models-under-relaxed-identifiability-conditions-1710.11070</loc><lastmod>2019-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-rates-of-latent-topic-models-under-relaxed-identifiability-conditions-1710.11070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-rates-of-latent-topic-models-under-relaxed-identifiability-conditions-1710.11070"/></url>
<url><loc>https://scifaro.com/en/abs/action-depedent-control-variates-for-policy-optimization-via-stein-s-identity-1710.11198</loc><lastmod>2018-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/action-depedent-control-variates-for-policy-optimization-via-stein-s-identity-1710.11198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/action-depedent-control-variates-for-policy-optimization-via-stein-s-identity-1710.11198"/></url>
<url><loc>https://scifaro.com/en/abs/critical-points-of-neural-networks-analytical-forms-and-landscape-properties-1710.11205</loc><lastmod>2017-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/critical-points-of-neural-networks-analytical-forms-and-landscape-properties-1710.11205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/critical-points-of-neural-networks-analytical-forms-and-landscape-properties-1710.11205"/></url>
<url><loc>https://scifaro.com/en/abs/time-lagged-autoencoders-deep-learning-of-slow-collective-variables-for-molecular-kinetics-1710.11239</loc><lastmod>2018-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-lagged-autoencoders-deep-learning-of-slow-collective-variables-for-molecular-kinetics-1710.11239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-lagged-autoencoders-deep-learning-of-slow-collective-variables-for-molecular-kinetics-1710.11239"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-manifold-learning-on-generative-adversarial-networks-1710.11260</loc><lastmod>2017-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-manifold-learning-on-generative-adversarial-networks-1710.11260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-manifold-learning-on-generative-adversarial-networks-1710.11260"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-continuous-functions-by-relu-nets-of-minimal-width-1710.11278</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-continuous-functions-by-relu-nets-of-minimal-width-1710.11278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-continuous-functions-by-relu-nets-of-minimal-width-1710.11278"/></url>
<url><loc>https://scifaro.com/en/abs/rate-optimal-meta-learning-of-classification-error-1710.11315</loc><lastmod>2017-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rate-optimal-meta-learning-of-classification-error-1710.11315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rate-optimal-meta-learning-of-classification-error-1710.11315"/></url>
<url><loc>https://scifaro.com/en/abs/latent-space-oddity-on-the-curvature-of-deep-generative-models-1710.11379</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-space-oddity-on-the-curvature-of-deep-generative-models-1710.11379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-space-oddity-on-the-curvature-of-deep-generative-models-1710.11379"/></url>
<url><loc>https://scifaro.com/en/abs/learning-neural-representations-of-human-cognition-across-many-fmri-studies-1710.11438</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-neural-representations-of-human-cognition-across-many-fmri-studies-1710.11438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-neural-representations-of-human-cognition-across-many-fmri-studies-1710.11438"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-variance-penalties-and-domain-shift-robustness-1710.11469</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-variance-penalties-and-domain-shift-robustness-1710.11469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-variance-penalties-and-domain-shift-robustness-1710.11469"/></url>
<url><loc>https://scifaro.com/en/abs/compact-multi-class-boosted-trees-1710.11547</loc><lastmod>2017-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compact-multi-class-boosted-trees-1710.11547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compact-multi-class-boosted-trees-1710.11547"/></url>
<url><loc>https://scifaro.com/en/abs/tf-boosted-trees-a-scalable-tensorflow-based-framework-for-gradient-boosting-1710.11555</loc><lastmod>2017-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tf-boosted-trees-a-scalable-tensorflow-based-framework-for-gradient-boosting-1710.11555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tf-boosted-trees-a-scalable-tensorflow-based-framework-for-gradient-boosting-1710.11555"/></url>
<url><loc>https://scifaro.com/en/abs/small-moving-window-calibration-models-for-soft-sensing-processes-with-limited-history-1710.11595</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/small-moving-window-calibration-models-for-soft-sensing-processes-with-limited-history-1710.11595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/small-moving-window-calibration-models-for-soft-sensing-processes-with-limited-history-1710.11595"/></url>
<url><loc>https://scifaro.com/en/abs/fraternal-dropout-1711.00066</loc><lastmod>2018-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fraternal-dropout-1711.00066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fraternal-dropout-1711.00066"/></url>
<url><loc>https://scifaro.com/en/abs/synth-validation-selecting-the-best-causal-inference-method-for-a-given-dataset-1711.00083</loc><lastmod>2017-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synth-validation-selecting-the-best-causal-inference-method-for-a-given-dataset-1711.00083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synth-validation-selecting-the-best-causal-inference-method-for-a-given-dataset-1711.00083"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-and-reconstruction-of-graph-signals-via-weak-submodularity-and-semidefinite-relaxation-1711.00142</loc><lastmod>2017-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-and-reconstruction-of-graph-signals-via-weak-submodularity-and-semidefinite-relaxation-1711.00142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-and-reconstruction-of-graph-signals-via-weak-submodularity-and-semidefinite-relaxation-1711.00142"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-networks-as-gaussian-processes-1711.00165</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-networks-as-gaussian-processes-1711.00165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-networks-as-gaussian-processes-1711.00165"/></url>
<url><loc>https://scifaro.com/en/abs/a-large-dimensional-study-of-regularized-discriminant-analysis-classifiers-1711.00382</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-large-dimensional-study-of-regularized-discriminant-analysis-classifiers-1711.00382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-large-dimensional-study-of-regularized-discriminant-analysis-classifiers-1711.00382"/></url>
<url><loc>https://scifaro.com/en/abs/active-tolerant-testing-1711.00388</loc><lastmod>2017-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-tolerant-testing-1711.00388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-tolerant-testing-1711.00388"/></url>
<url><loc>https://scifaro.com/en/abs/minimal-exploration-in-structured-stochastic-bandits-1711.00400</loc><lastmod>2017-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimal-exploration-in-structured-stochastic-bandits-1711.00400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimal-exploration-in-structured-stochastic-bandits-1711.00400"/></url>
<url><loc>https://scifaro.com/en/abs/sleep-stage-classification-based-on-multi-level-feature-learning-and-recurrent-neural-networks-via-wearable-device-1711.00629</loc><lastmod>2017-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sleep-stage-classification-based-on-multi-level-feature-learning-and-recurrent-neural-networks-via-wearable-device-1711.00629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sleep-stage-classification-based-on-multi-level-feature-learning-and-recurrent-neural-networks-via-wearable-device-1711.00629"/></url>
<url><loc>https://scifaro.com/en/abs/candidates-vs-noises-estimation-for-large-multi-class-classification-problem-1711.00658</loc><lastmod>2018-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/candidates-vs-noises-estimation-for-large-multi-class-classification-problem-1711.00658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/candidates-vs-noises-estimation-for-large-multi-class-classification-problem-1711.00658"/></url>
<url><loc>https://scifaro.com/en/abs/fast-information-theoretic-bayesian-optimisation-1711.00673</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-information-theoretic-bayesian-optimisation-1711.00673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-information-theoretic-bayesian-optimisation-1711.00673"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-historical-hourly-traffic-volumes-via-machine-learning-and-vehicle-probe-data-a-maryland-case-study-1711.00721</loc><lastmod>2018-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-historical-hourly-traffic-volumes-via-machine-learning-and-vehicle-probe-data-a-maryland-case-study-1711.00721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-historical-hourly-traffic-volumes-via-machine-learning-and-vehicle-probe-data-a-maryland-case-study-1711.00721"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-of-functions-over-manifolds-a-moving-least-squares-approach-1711.00765</loc><lastmod>2020-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-of-functions-over-manifolds-a-moving-least-squares-approach-1711.00765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-of-functions-over-manifolds-a-moving-least-squares-approach-1711.00765"/></url>
<url><loc>https://scifaro.com/en/abs/deep-recurrent-gaussian-process-with-variational-sparse-spectrum-approximation-1711.00799</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-recurrent-gaussian-process-with-variational-sparse-spectrum-approximation-1711.00799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-recurrent-gaussian-process-with-variational-sparse-spectrum-approximation-1711.00799"/></url>
<url><loc>https://scifaro.com/en/abs/medoids-in-almost-linear-time-via-multi-armed-bandits-1711.00817</loc><lastmod>2017-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/medoids-in-almost-linear-time-via-multi-armed-bandits-1711.00817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/medoids-in-almost-linear-time-via-multi-armed-bandits-1711.00817"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-probabilistic-bisection-for-stochastic-root-finding-1711.00843</loc><lastmod>2017-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-probabilistic-bisection-for-stochastic-root-finding-1711.00843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-probabilistic-bisection-for-stochastic-root-finding-1711.00843"/></url>
<url><loc>https://scifaro.com/en/abs/the-un-reliability-of-saliency-methods-1711.00867</loc><lastmod>2017-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-un-reliability-of-saliency-methods-1711.00867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-un-reliability-of-saliency-methods-1711.00867"/></url>
<url><loc>https://scifaro.com/en/abs/correcting-nuisance-variation-using-wasserstein-distance-1711.00882</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correcting-nuisance-variation-using-wasserstein-distance-1711.00882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correcting-nuisance-variation-using-wasserstein-distance-1711.00882"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-view-x-ray-ct-reconstruction-using-ell-1-prior-with-learned-transform-1711.00905</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-view-x-ray-ct-reconstruction-using-ell-1-prior-with-learned-transform-1711.00905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-view-x-ray-ct-reconstruction-using-ell-1-prior-with-learned-transform-1711.00905"/></url>
<url><loc>https://scifaro.com/en/abs/policy-optimization-by-genetic-distillation-1711.01012</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-optimization-by-genetic-distillation-1711.01012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-optimization-by-genetic-distillation-1711.01012"/></url>
<url><loc>https://scifaro.com/en/abs/structured-variational-inference-for-coupled-gaussian-processes-1711.01131</loc><lastmod>2017-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-variational-inference-for-coupled-gaussian-processes-1711.01131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-variational-inference-for-coupled-gaussian-processes-1711.01131"/></url>
<url><loc>https://scifaro.com/en/abs/metrics-for-deep-generative-models-1711.01204</loc><lastmod>2018-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metrics-for-deep-generative-models-1711.01204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metrics-for-deep-generative-models-1711.01204"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-by-adjusting-priors-based-on-extended-pac-bayes-theory-1711.01244</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-by-adjusting-priors-based-on-extended-pac-bayes-theory-1711.01244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-by-adjusting-priors-based-on-extended-pac-bayes-theory-1711.01244"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-weight-uncertainty-in-neural-networks-1711.01297</loc><lastmod>2018-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-weight-uncertainty-in-neural-networks-1711.01297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-weight-uncertainty-in-neural-networks-1711.01297"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-linear-model-regression-under-distance-to-set-penalties-1711.01341</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-linear-model-regression-under-distance-to-set-penalties-1711.01341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-linear-model-regression-under-distance-to-set-penalties-1711.01341"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-preserving-k-anonymity-1711.01514</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-preserving-k-anonymity-1711.01514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-preserving-k-anonymity-1711.01514"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-auto-encoders-1711.01558</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-auto-encoders-1711.01558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-auto-encoders-1711.01558"/></url>
<url><loc>https://scifaro.com/en/abs/wider-and-deeper-cheaper-and-faster-tensorized-lstms-for-sequence-learning-1711.01577</loc><lastmod>2017-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wider-and-deeper-cheaper-and-faster-tensorized-lstms-for-sequence-learning-1711.01577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wider-and-deeper-cheaper-and-faster-tensorized-lstms-for-sequence-learning-1711.01577"/></url>
<url><loc>https://scifaro.com/en/abs/multilayer-tensor-factorization-with-applications-to-recommender-systems-1711.01598</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilayer-tensor-factorization-with-applications-to-recommender-systems-1711.01598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilayer-tensor-factorization-with-applications-to-recommender-systems-1711.01598"/></url>
<url><loc>https://scifaro.com/en/abs/provenance-and-pseudo-provenance-for-seeded-learning-based-automated-test-generation-1711.01661</loc><lastmod>2017-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provenance-and-pseudo-provenance-for-seeded-learning-based-automated-test-generation-1711.01661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provenance-and-pseudo-provenance-for-seeded-learning-based-automated-test-generation-1711.01661"/></url>
<url><loc>https://scifaro.com/en/abs/towards-reverse-engineering-black-box-neural-networks-1711.01768</loc><lastmod>2018-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-reverse-engineering-black-box-neural-networks-1711.01768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-reverse-engineering-black-box-neural-networks-1711.01768"/></url>
<url><loc>https://scifaro.com/en/abs/independently-interpretable-lasso-a-new-regularizer-for-sparse-regression-with-uncorrelated-variables-1711.01796</loc><lastmod>2018-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/independently-interpretable-lasso-a-new-regularizer-for-sparse-regression-with-uncorrelated-variables-1711.01796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/independently-interpretable-lasso-a-new-regularizer-for-sparse-regression-with-uncorrelated-variables-1711.01796"/></url>
<url><loc>https://scifaro.com/en/abs/fast-amortized-inference-of-neural-activity-from-calcium-imaging-data-with-variational-autoencoders-1711.01846</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-amortized-inference-of-neural-activity-from-calcium-imaging-data-with-variational-autoencoders-1711.01846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-amortized-inference-of-neural-activity-from-calcium-imaging-data-with-variational-autoencoders-1711.01846"/></url>
<url><loc>https://scifaro.com/en/abs/extracting-low-dimensional-dynamics-from-multiple-large-scale-neural-population-recordings-by-learning-to-predict-correlations-1711.01847</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extracting-low-dimensional-dynamics-from-multiple-large-scale-neural-population-recordings-by-learning-to-predict-correlations-1711.01847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extracting-low-dimensional-dynamics-from-multiple-large-scale-neural-population-recordings-by-learning-to-predict-correlations-1711.01847"/></url>
<url><loc>https://scifaro.com/en/abs/flexible-statistical-inference-for-mechanistic-models-of-neural-dynamics-1711.01861</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexible-statistical-inference-for-mechanistic-models-of-neural-dynamics-1711.01861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexible-statistical-inference-for-mechanistic-models-of-neural-dynamics-1711.01861"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-feature-recommendation-for-signal-analytics-1711.01870</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-feature-recommendation-for-signal-analytics-1711.01870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-feature-recommendation-for-signal-analytics-1711.01870"/></url>
<url><loc>https://scifaro.com/en/abs/deformable-deep-convolutional-generative-adversarial-network-in-microwave-based-hand-gesture-recognition-system-1711.01968</loc><lastmod>2017-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deformable-deep-convolutional-generative-adversarial-network-in-microwave-based-hand-gesture-recognition-system-1711.01968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deformable-deep-convolutional-generative-adversarial-network-in-microwave-based-hand-gesture-recognition-system-1711.01968"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-nonnegative-matrix-factorization-1711.02037</loc><lastmod>2018-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-nonnegative-matrix-factorization-1711.02037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-nonnegative-matrix-factorization-1711.02037"/></url>
<url><loc>https://scifaro.com/en/abs/optimality-of-approximate-inference-algorithms-on-stable-instances-1711.02195</loc><lastmod>2018-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimality-of-approximate-inference-algorithms-on-stable-instances-1711.02195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimality-of-approximate-inference-algorithms-on-stable-instances-1711.02195"/></url>
<url><loc>https://scifaro.com/en/abs/regret-bounds-and-regimes-of-optimality-for-user-user-and-item-item-collaborative-filtering-1711.02198</loc><lastmod>2019-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-bounds-and-regimes-of-optimality-for-user-user-and-item-item-collaborative-filtering-1711.02198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-bounds-and-regimes-of-optimality-for-user-user-and-item-item-collaborative-filtering-1711.02198"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-transformation-learning-via-convex-relaxations-1711.02226</loc><lastmod>2017-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-transformation-learning-via-convex-relaxations-1711.02226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-transformation-learning-via-convex-relaxations-1711.02226"/></url>
<url><loc>https://scifaro.com/en/abs/variational-walkback-learning-a-transition-operator-as-a-stochastic-recurrent-net-1711.02282</loc><lastmod>2017-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-walkback-learning-a-transition-operator-as-a-stochastic-recurrent-net-1711.02282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-walkback-learning-a-transition-operator-as-a-stochastic-recurrent-net-1711.02282"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-optimal-transport-and-mapping-estimation-1711.02283</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-optimal-transport-and-mapping-estimation-1711.02283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-optimal-transport-and-mapping-estimation-1711.02283"/></url>
<url><loc>https://scifaro.com/en/abs/multi-player-bandits-revisited-1711.02317</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-player-bandits-revisited-1711.02317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-player-bandits-revisited-1711.02317"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-convolutional-neural-networks-through-compression-1711.02329</loc><lastmod>2017-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-convolutional-neural-networks-through-compression-1711.02329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-convolutional-neural-networks-through-compression-1711.02329"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-model-and-dimension-reduction-for-uncertainty-propagation-applications-in-random-media-1711.02475</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-model-and-dimension-reduction-for-uncertainty-propagation-applications-in-random-media-1711.02475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-model-and-dimension-reduction-for-uncertainty-propagation-applications-in-random-media-1711.02475"/></url>
<url><loc>https://scifaro.com/en/abs/grafting-for-combinatorial-boolean-model-using-frequent-itemset-mining-1711.02478</loc><lastmod>2023-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grafting-for-combinatorial-boolean-model-using-frequent-itemset-mining-1711.02478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grafting-for-combinatorial-boolean-model-using-frequent-itemset-mining-1711.02478"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-for-changing-environments-using-coin-betting-1711.02545</loc><lastmod>2017-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-for-changing-environments-using-coin-betting-1711.02545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-for-changing-environments-using-coin-betting-1711.02545"/></url>
<url><loc>https://scifaro.com/en/abs/moonshine-distilling-with-cheap-convolutions-1711.02613</loc><lastmod>2019-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moonshine-distilling-with-cheap-convolutions-1711.02613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moonshine-distilling-with-cheap-convolutions-1711.02613"/></url>
<url><loc>https://scifaro.com/en/abs/neural-system-identification-for-large-populations-separating-what-and-where-1711.02653</loc><lastmod>2018-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-system-identification-for-large-populations-separating-what-and-where-1711.02653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-system-identification-for-large-populations-separating-what-and-where-1711.02653"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-message-passing-for-nonconvex-sparse-regularization-with-stability-and-asymptotic-analysis-1711.02795</loc><lastmod>2018-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-message-passing-for-nonconvex-sparse-regularization-with-stability-and-asymptotic-analysis-1711.02795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-message-passing-for-nonconvex-sparse-regularization-with-stability-and-asymptotic-analysis-1711.02795"/></url>
<url><loc>https://scifaro.com/en/abs/revealing-structure-components-of-the-retina-by-deep-learning-networks-1711.02837</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revealing-structure-components-of-the-retina-by-deep-learning-networks-1711.02837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revealing-structure-components-of-the-retina-by-deep-learning-networks-1711.02837"/></url>
<url><loc>https://scifaro.com/en/abs/intriguing-properties-of-adversarial-examples-1711.02846</loc><lastmod>2017-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intriguing-properties-of-adversarial-examples-1711.02846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intriguing-properties-of-adversarial-examples-1711.02846"/></url>
<url><loc>https://scifaro.com/en/abs/dimension-estimation-using-random-connection-models-1711.02876</loc><lastmod>2017-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimension-estimation-using-random-connection-models-1711.02876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimension-estimation-using-random-connection-models-1711.02876"/></url>
<url><loc>https://scifaro.com/en/abs/universal-consistency-and-minimax-rates-for-online-mondrian-forests-1711.02887</loc><lastmod>2017-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-consistency-and-minimax-rates-for-online-mondrian-forests-1711.02887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-consistency-and-minimax-rates-for-online-mondrian-forests-1711.02887"/></url>
<url><loc>https://scifaro.com/en/abs/variational-gaussian-dropout-is-not-bayesian-1711.02989</loc><lastmod>2017-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-gaussian-dropout-is-not-bayesian-1711.02989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-gaussian-dropout-is-not-bayesian-1711.02989"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-normal-models-for-fmri-analysis-1711.03058</loc><lastmod>2017-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-normal-models-for-fmri-analysis-1711.03058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-normal-models-for-fmri-analysis-1711.03058"/></url>
<url><loc>https://scifaro.com/en/abs/a-separation-principle-for-control-in-the-age-of-deep-learning-1711.03321</loc><lastmod>2017-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-separation-principle-for-control-in-the-age-of-deep-learning-1711.03321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-separation-principle-for-control-in-the-age-of-deep-learning-1711.03321"/></url>
<url><loc>https://scifaro.com/en/abs/can-clustering-scale-sublinearly-with-its-clusters-a-variational-em-acceleration-of-gmms-and-k-means-1711.03431</loc><lastmod>2018-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-clustering-scale-sublinearly-with-its-clusters-a-variational-em-acceleration-of-gmms-and-k-means-1711.03431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-clustering-scale-sublinearly-with-its-clusters-a-variational-em-acceleration-of-gmms-and-k-means-1711.03431"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-log-determinants-for-gaussian-process-kernel-learning-1711.03481</loc><lastmod>2017-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-log-determinants-for-gaussian-process-kernel-learning-1711.03481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-log-determinants-for-gaussian-process-kernel-learning-1711.03481"/></url>
<url><loc>https://scifaro.com/en/abs/shopper-a-probabilistic-model-of-consumer-choice-with-substitutes-and-complements-1711.03560</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shopper-a-probabilistic-model-of-consumer-choice-with-substitutes-and-complements-1711.03560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shopper-a-probabilistic-model-of-consumer-choice-with-substitutes-and-complements-1711.03560"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-vector-autoregressions-with-exogenous-time-series-1711.03623</loc><lastmod>2017-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-vector-autoregressions-with-exogenous-time-series-1711.03623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-vector-autoregressions-with-exogenous-time-series-1711.03623"/></url>
<url><loc>https://scifaro.com/en/abs/alternating-minimization-for-dictionary-learning-local-convergence-guarantees-1711.03634</loc><lastmod>2019-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alternating-minimization-for-dictionary-learning-local-convergence-guarantees-1711.03634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alternating-minimization-for-dictionary-learning-local-convergence-guarantees-1711.03634"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-real-time-classification-of-hand-written-digits-with-spiking-neural-networks-1711.03637</loc><lastmod>2017-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-real-time-classification-of-hand-written-digits-with-spiking-neural-networks-1711.03637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-real-time-classification-of-hand-written-digits-with-spiking-neural-networks-1711.03637"/></url>
<url><loc>https://scifaro.com/en/abs/provably-accurate-double-sparse-coding-1711.03638</loc><lastmod>2017-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-accurate-double-sparse-coding-1711.03638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-accurate-double-sparse-coding-1711.03638"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-deep-learning-in-memristive-networks-1711.03640</loc><lastmod>2017-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-deep-learning-in-memristive-networks-1711.03640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-deep-learning-in-memristive-networks-1711.03640"/></url>
<url><loc>https://scifaro.com/en/abs/poverty-prediction-with-public-landsat-7-satellite-imagery-and-machine-learning-1711.03654</loc><lastmod>2017-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poverty-prediction-with-public-landsat-7-satellite-imagery-and-machine-learning-1711.03654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poverty-prediction-with-public-landsat-7-satellite-imagery-and-machine-learning-1711.03654"/></url>
<url><loc>https://scifaro.com/en/abs/gpflowopt-a-bayesian-optimization-library-using-tensorflow-1711.03845</loc><lastmod>2017-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gpflowopt-a-bayesian-optimization-library-using-tensorflow-1711.03845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gpflowopt-a-bayesian-optimization-library-using-tensorflow-1711.03845"/></url>
<url><loc>https://scifaro.com/en/abs/attend-and-diagnose-clinical-time-series-analysis-using-attention-models-1711.03905</loc><lastmod>2018-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attend-and-diagnose-clinical-time-series-analysis-using-attention-models-1711.03905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attend-and-diagnose-clinical-time-series-analysis-using-attention-models-1711.03905"/></url>
<url><loc>https://scifaro.com/en/abs/wmrb-learning-to-rank-in-a-scalable-batch-training-approach-1711.04015</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wmrb-learning-to-rank-in-a-scalable-batch-training-approach-1711.04015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wmrb-learning-to-rank-in-a-scalable-batch-training-approach-1711.04015"/></url>
<url><loc>https://scifaro.com/en/abs/a-batch-learning-framework-for-scalable-personalized-ranking-1711.04019</loc><lastmod>2018-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-batch-learning-framework-for-scalable-personalized-ranking-1711.04019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-batch-learning-framework-for-scalable-personalized-ranking-1711.04019"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-learning-with-graph-neural-networks-1711.04043</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-learning-with-graph-neural-networks-1711.04043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-learning-with-graph-neural-networks-1711.04043"/></url>
<url><loc>https://scifaro.com/en/abs/scale-out-for-large-minibatch-sgd-residual-network-training-on-imagenet-1k-with-improved-accuracy-and-reduced-time-to-train-1711.04291</loc><lastmod>2017-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scale-out-for-large-minibatch-sgd-residual-network-training-on-imagenet-1k-with-improved-accuracy-and-reduced-time-to-train-1711.04291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scale-out-for-large-minibatch-sgd-residual-network-training-on-imagenet-1k-with-improved-accuracy-and-reduced-time-to-train-1711.04291"/></url>
<url><loc>https://scifaro.com/en/abs/a-sequence-based-mesh-classifier-for-the-prediction-of-protein-protein-interactions-1711.04294</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sequence-based-mesh-classifier-for-the-prediction-of-protein-protein-interactions-1711.04294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sequence-based-mesh-classifier-for-the-prediction-of-protein-protein-interactions-1711.04294"/></url>
<url><loc>https://scifaro.com/en/abs/sensor-selection-and-random-field-reconstruction-for-robust-and-cost-effective-heterogeneous-weather-sensor-networks-for-the-developing-world-1711.04308</loc><lastmod>2017-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sensor-selection-and-random-field-reconstruction-for-robust-and-cost-effective-heterogeneous-weather-sensor-networks-for-the-developing-world-1711.04308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sensor-selection-and-random-field-reconstruction-for-robust-and-cost-effective-heterogeneous-weather-sensor-networks-for-the-developing-world-1711.04308"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-via-new-deep-network-inversion-1711.04313</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-via-new-deep-network-inversion-1711.04313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-via-new-deep-network-inversion-1711.04313"/></url>
<url><loc>https://scifaro.com/en/abs/data-augmentation-generative-adversarial-networks-1711.04340</loc><lastmod>2018-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-augmentation-generative-adversarial-networks-1711.04340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-augmentation-generative-adversarial-networks-1711.04340"/></url>
<url><loc>https://scifaro.com/en/abs/alpha-divergences-in-variational-dropout-1711.04345</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alpha-divergences-in-variational-dropout-1711.04345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alpha-divergences-in-variational-dropout-1711.04345"/></url>
<url><loc>https://scifaro.com/en/abs/should-you-derive-or-let-the-data-drive-an-optimization-framework-for-hybrid-first-principles-data-driven-modeling-1711.04374</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/should-you-derive-or-let-the-data-drive-an-optimization-framework-for-hybrid-first-principles-data-driven-modeling-1711.04374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/should-you-derive-or-let-the-data-drive-an-optimization-framework-for-hybrid-first-principles-data-driven-modeling-1711.04374"/></url>
<url><loc>https://scifaro.com/en/abs/variance-reduced-methods-for-non-convex-composition-optimization-1711.04416</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-reduced-methods-for-non-convex-composition-optimization-1711.04416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-reduced-methods-for-non-convex-composition-optimization-1711.04416"/></url>
<url><loc>https://scifaro.com/en/abs/message-passing-stein-variational-gradient-descent-1711.04425</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/message-passing-stein-variational-gradient-descent-1711.04425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/message-passing-stein-variational-gradient-descent-1711.04425"/></url>
<url><loc>https://scifaro.com/en/abs/blind-source-separation-using-mixtures-of-alpha-stable-distributions-1711.04460</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blind-source-separation-using-mixtures-of-alpha-stable-distributions-1711.04460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blind-source-separation-using-mixtures-of-alpha-stable-distributions-1711.04460"/></url>
<url><loc>https://scifaro.com/en/abs/simple-and-efficient-architecture-search-for-convolutional-neural-networks-1711.04528</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-and-efficient-architecture-search-for-convolutional-neural-networks-1711.04528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-and-efficient-architecture-search-for-convolutional-neural-networks-1711.04528"/></url>
<url><loc>https://scifaro.com/en/abs/model-criticism-in-latent-space-1711.04674</loc><lastmod>2018-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-criticism-in-latent-space-1711.04674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-criticism-in-latent-space-1711.04674"/></url>
<url><loc>https://scifaro.com/en/abs/actual-actor-critic-under-adversarial-learning-1711.04755</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/actual-actor-critic-under-adversarial-learning-1711.04755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/actual-actor-critic-under-adversarial-learning-1711.04755"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-quadratic-classification-rules-via-linear-dimension-reduction-1711.04817</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-quadratic-classification-rules-via-linear-dimension-reduction-1711.04817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-quadratic-classification-rules-via-linear-dimension-reduction-1711.04817"/></url>
<url><loc>https://scifaro.com/en/abs/improving-factor-based-quantitative-investing-by-forecasting-company-fundamentals-1711.04837</loc><lastmod>2018-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-factor-based-quantitative-investing-by-forecasting-company-fundamentals-1711.04837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-factor-based-quantitative-investing-by-forecasting-company-fundamentals-1711.04837"/></url>
<url><loc>https://scifaro.com/en/abs/invariances-and-data-augmentation-for-supervised-music-transcription-1711.04845</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invariances-and-data-augmentation-for-supervised-music-transcription-1711.04845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invariances-and-data-augmentation-for-supervised-music-transcription-1711.04845"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-visualizing-localized-geometric-features-using-3d-cnn-an-application-to-manufacturability-analysis-of-drilled-holes-1711.04851</loc><lastmod>2018-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-visualizing-localized-geometric-features-using-3d-cnn-an-application-to-manufacturability-analysis-of-drilled-holes-1711.04851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-visualizing-localized-geometric-features-using-3d-cnn-an-application-to-manufacturability-analysis-of-drilled-holes-1711.04851"/></url>
<url><loc>https://scifaro.com/en/abs/stark-structured-dictionary-learning-through-rank-one-tensor-recovery-1711.04887</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stark-structured-dictionary-learning-through-rank-one-tensor-recovery-1711.04887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stark-structured-dictionary-learning-through-rank-one-tensor-recovery-1711.04887"/></url>
<url><loc>https://scifaro.com/en/abs/statistically-optimal-and-computationally-efficient-low-rank-tensor-completion-from-noisy-entries-1711.04934</loc><lastmod>2018-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistically-optimal-and-computationally-efficient-low-rank-tensor-completion-from-noisy-entries-1711.04934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistically-optimal-and-computationally-efficient-low-rank-tensor-completion-from-noisy-entries-1711.04934"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-peaceman-rachford-splitting-method-with-proximal-terms-1711.04955</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-peaceman-rachford-splitting-method-with-proximal-terms-1711.04955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-peaceman-rachford-splitting-method-with-proximal-terms-1711.04955"/></url>
<url><loc>https://scifaro.com/en/abs/straggler-mitigation-in-distributed-optimization-through-data-encoding-1711.04969</loc><lastmod>2018-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/straggler-mitigation-in-distributed-optimization-through-data-encoding-1711.04969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/straggler-mitigation-in-distributed-optimization-through-data-encoding-1711.04969"/></url>
<url><loc>https://scifaro.com/en/abs/feature-importance-scores-and-lossless-feature-pruning-using-banzhaf-power-indices-1711.04992</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-importance-scores-and-lossless-feature-pruning-using-banzhaf-power-indices-1711.04992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-importance-scores-and-lossless-feature-pruning-using-banzhaf-power-indices-1711.04992"/></url>
<url><loc>https://scifaro.com/en/abs/the-multi-layer-information-bottleneck-problem-1711.05102</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-multi-layer-information-bottleneck-problem-1711.05102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-multi-layer-information-bottleneck-problem-1711.05102"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-reliable-inference-algorithm-for-hierarchical-stochastic-block-models-1711.05150</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-reliable-inference-algorithm-for-hierarchical-stochastic-block-models-1711.05150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-reliable-inference-algorithm-for-hierarchical-stochastic-block-models-1711.05150"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-discrete-optimization-for-experimental-design-a-regret-minimization-approach-1711.05174</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-discrete-optimization-for-experimental-design-a-regret-minimization-approach-1711.05174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-discrete-optimization-for-experimental-design-a-regret-minimization-approach-1711.05174"/></url>
<url><loc>https://scifaro.com/en/abs/joint-gaussian-processes-for-biophysical-parameter-retrieval-1711.05197</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-gaussian-processes-for-biophysical-parameter-retrieval-1711.05197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-gaussian-processes-for-biophysical-parameter-retrieval-1711.05197"/></url>
<url><loc>https://scifaro.com/en/abs/on-optimal-generalizability-in-parametric-learning-1711.05323</loc><lastmod>2017-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-optimal-generalizability-in-parametric-learning-1711.05323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-optimal-generalizability-in-parametric-learning-1711.05323"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-conditional-exponential-family-1711.05363</loc><lastmod>2018-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-conditional-exponential-family-1711.05363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-conditional-exponential-family-1711.05363"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-kernel-machines-using-deep-learning-1711.05374</loc><lastmod>2017-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-kernel-machines-using-deep-learning-1711.05374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-kernel-machines-using-deep-learning-1711.05374"/></url>
<url><loc>https://scifaro.com/en/abs/margin-uncovering-deep-neural-networks-using-graph-signal-analysis-1711.05407</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/margin-uncovering-deep-neural-networks-using-graph-signal-analysis-1711.05407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/margin-uncovering-deep-neural-networks-using-graph-signal-analysis-1711.05407"/></url>
<url><loc>https://scifaro.com/en/abs/z-forcing-training-stochastic-recurrent-networks-1711.05411</loc><lastmod>2017-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/z-forcing-training-stochastic-recurrent-networks-1711.05411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/z-forcing-training-stochastic-recurrent-networks-1711.05411"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-cross-validation-in-multinomial-logistic-regression-with-ell-1-regularization-1711.05420</loc><lastmod>2018-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-cross-validation-in-multinomial-logistic-regression-with-ell-1-regularization-1711.05420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-cross-validation-in-multinomial-logistic-regression-with-ell-1-regularization-1711.05420"/></url>
<url><loc>https://scifaro.com/en/abs/lattice-rescoring-strategies-for-long-short-term-memory-language-models-in-speech-recognition-1711.05448</loc><lastmod>2017-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lattice-rescoring-strategies-for-long-short-term-memory-language-models-in-speech-recognition-1711.05448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lattice-rescoring-strategies-for-long-short-term-memory-language-models-in-speech-recognition-1711.05448"/></url>
<url><loc>https://scifaro.com/en/abs/a-convex-parametrization-of-a-new-class-of-universal-kernel-functions-1711.05477</loc><lastmod>2020-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convex-parametrization-of-a-new-class-of-universal-kernel-functions-1711.05477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convex-parametrization-of-a-new-class-of-universal-kernel-functions-1711.05477"/></url>
<url><loc>https://scifaro.com/en/abs/variational-adaptive-newton-method-for-explorative-learning-1711.05560</loc><lastmod>2017-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-adaptive-newton-method-for-explorative-learning-1711.05560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-adaptive-newton-method-for-explorative-learning-1711.05560"/></url>
<url><loc>https://scifaro.com/en/abs/on-consistent-vertex-nomination-schemes-1711.05610</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-consistent-vertex-nomination-schemes-1711.05610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-consistent-vertex-nomination-schemes-1711.05610"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-mapping-with-gaussian-processes-and-nonstationary-fourier-features-1711.05615</loc><lastmod>2017-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-mapping-with-gaussian-processes-and-nonstationary-fourier-features-1711.05615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-mapping-with-gaussian-processes-and-nonstationary-fourier-features-1711.05615"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bi-lstms-1711.05717</loc><lastmod>2017-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bi-lstms-1711.05717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bi-lstms-1711.05717"/></url>
<url><loc>https://scifaro.com/en/abs/markov-decision-processes-with-continuous-side-information-1711.05726</loc><lastmod>2019-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-decision-processes-with-continuous-side-information-1711.05726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-decision-processes-with-continuous-side-information-1711.05726"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-independence-testing-predictive-conditional-independence-testing-and-predictive-graphical-modelling-1711.05869</loc><lastmod>2018-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-independence-testing-predictive-conditional-independence-testing-and-predictive-graphical-modelling-1711.05869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-independence-testing-predictive-conditional-independence-testing-and-predictive-graphical-modelling-1711.05869"/></url>
<url><loc>https://scifaro.com/en/abs/hodgerank-with-information-maximization-for-crowdsourced-pairwise-ranking-aggregation-1711.05957</loc><lastmod>2017-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hodgerank-with-information-maximization-for-crowdsourced-pairwise-ranking-aggregation-1711.05957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hodgerank-with-information-maximization-for-crowdsourced-pairwise-ranking-aggregation-1711.05957"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-decentralized-data-fusion-meets-transfer-learning-in-large-scale-distributed-cooperative-perception-1711.06064</loc><lastmod>2017-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-decentralized-data-fusion-meets-transfer-learning-in-large-scale-distributed-cooperative-perception-1711.06064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-decentralized-data-fusion-meets-transfer-learning-in-large-scale-distributed-cooperative-perception-1711.06064"/></url>
<url><loc>https://scifaro.com/en/abs/robust-unsupervised-domain-adaptation-for-neural-networks-via-moment-alignment-1711.06114</loc><lastmod>2019-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-unsupervised-domain-adaptation-for-neural-networks-via-moment-alignment-1711.06114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-unsupervised-domain-adaptation-for-neural-networks-via-moment-alignment-1711.06114"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-sparsity-tree-regularization-of-deep-models-for-interpretability-1711.06178</loc><lastmod>2017-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-sparsity-tree-regularization-of-deep-models-for-interpretability-1711.06178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-sparsity-tree-regularization-of-deep-models-for-interpretability-1711.06178"/></url>
<url><loc>https://scifaro.com/en/abs/neurology-as-a-service-for-the-developing-world-1711.06195</loc><lastmod>2017-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neurology-as-a-service-for-the-developing-world-1711.06195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neurology-as-a-service-for-the-developing-world-1711.06195"/></url>
<url><loc>https://scifaro.com/en/abs/a-forward-backward-approach-for-visualizing-information-flow-in-deep-networks-1711.06221</loc><lastmod>2017-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-forward-backward-approach-for-visualizing-information-flow-in-deep-networks-1711.06221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-forward-backward-approach-for-visualizing-information-flow-in-deep-networks-1711.06221"/></url>
<url><loc>https://scifaro.com/en/abs/poverty-mapping-using-convolutional-neural-networks-trained-on-high-and-medium-resolution-satellite-images-with-an-application-in-mexico-1711.06323</loc><lastmod>2017-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poverty-mapping-using-convolutional-neural-networks-trained-on-high-and-medium-resolution-satellite-images-with-an-application-in-mexico-1711.06323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poverty-mapping-using-convolutional-neural-networks-trained-on-high-and-medium-resolution-satellite-images-with-an-application-in-mexico-1711.06323"/></url>
<url><loc>https://scifaro.com/en/abs/mosquito-detection-with-low-cost-smartphones-data-acquisition-for-malaria-research-1711.06346</loc><lastmod>2017-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mosquito-detection-with-low-cost-smartphones-data-acquisition-for-malaria-research-1711.06346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mosquito-detection-with-low-cost-smartphones-data-acquisition-for-malaria-research-1711.06346"/></url>
<url><loc>https://scifaro.com/en/abs/ubenwa-cry-based-diagnosis-of-birth-asphyxia-1711.06405</loc><lastmod>2017-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ubenwa-cry-based-diagnosis-of-birth-asphyxia-1711.06405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ubenwa-cry-based-diagnosis-of-birth-asphyxia-1711.06405"/></url>
<url><loc>https://scifaro.com/en/abs/a-resizable-mini-batch-gradient-descent-based-on-a-multi-armed-bandit-1711.06424</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-resizable-mini-batch-gradient-descent-based-on-a-multi-armed-bandit-1711.06424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-resizable-mini-batch-gradient-descent-based-on-a-multi-armed-bandit-1711.06424"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-non-convex-ordinal-embedding-with-stabilized-barzilai-borwein-step-size-1711.06446</loc><lastmod>2018-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-non-convex-ordinal-embedding-with-stabilized-barzilai-borwein-step-size-1711.06446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-non-convex-ordinal-embedding-with-stabilized-barzilai-borwein-step-size-1711.06446"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-deep-artificial-neural-network-approach-to-partial-differential-equations-in-complex-geometries-1711.06464</loc><lastmod>2018-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-deep-artificial-neural-network-approach-to-partial-differential-equations-in-complex-geometries-1711.06464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-deep-artificial-neural-network-approach-to-partial-differential-equations-in-complex-geometries-1711.06464"/></url>
<url><loc>https://scifaro.com/en/abs/improved-bayesian-compression-1711.06494</loc><lastmod>2017-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-bayesian-compression-1711.06494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-bayesian-compression-1711.06494"/></url>
<url><loc>https://scifaro.com/en/abs/calibration-of-distributionally-robust-empirical-optimization-models-1711.06565</loc><lastmod>2020-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibration-of-distributionally-robust-empirical-optimization-models-1711.06565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibration-of-distributionally-robust-empirical-optimization-models-1711.06565"/></url>
<url><loc>https://scifaro.com/en/abs/predict-responsibly-improving-fairness-and-accuracy-by-learning-to-defer-1711.06664</loc><lastmod>2018-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predict-responsibly-improving-fairness-and-accuracy-by-learning-to-defer-1711.06664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predict-responsibly-improving-fairness-and-accuracy-by-learning-to-defer-1711.06664"/></url>
<url><loc>https://scifaro.com/en/abs/principal-boundary-on-riemannian-manifolds-1711.06705</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principal-boundary-on-riemannian-manifolds-1711.06705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principal-boundary-on-riemannian-manifolds-1711.06705"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-learning-with-bi-stochastic-kernels-1711.06711</loc><lastmod>2022-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-learning-with-bi-stochastic-kernels-1711.06711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-learning-with-bi-stochastic-kernels-1711.06711"/></url>
<url><loc>https://scifaro.com/en/abs/techniques-for-proving-asynchronous-convergence-results-for-markov-chain-monte-carlo-methods-1711.06719</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/techniques-for-proving-asynchronous-convergence-results-for-markov-chain-monte-carlo-methods-1711.06719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/techniques-for-proving-asynchronous-convergence-results-for-markov-chain-monte-carlo-methods-1711.06719"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-gradient-coding-via-sparse-random-graphs-1711.06771</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-gradient-coding-via-sparse-random-graphs-1711.06771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-gradient-coding-via-sparse-random-graphs-1711.06771"/></url>
<url><loc>https://scifaro.com/en/abs/minimalrnn-toward-more-interpretable-and-trainable-recurrent-neural-networks-1711.06788</loc><lastmod>2018-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimalrnn-toward-more-interpretable-and-trainable-recurrent-neural-networks-1711.06788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimalrnn-toward-more-interpretable-and-trainable-recurrent-neural-networks-1711.06788"/></url>
<url><loc>https://scifaro.com/en/abs/tree-structured-boosting-connections-between-gradient-boosted-stumps-and-full-decision-trees-1711.06793</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tree-structured-boosting-connections-between-gradient-boosted-stumps-and-full-decision-trees-1711.06793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tree-structured-boosting-connections-between-gradient-boosted-stumps-and-full-decision-trees-1711.06793"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-scores-as-a-window-into-classifier-behavior-1711.06795</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-scores-as-a-window-into-classifier-behavior-1711.06795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-scores-as-a-window-into-classifier-behavior-1711.06795"/></url>
<url><loc>https://scifaro.com/en/abs/household-poverty-classification-in-data-scarce-environments-a-machine-learning-approach-1711.06813</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/household-poverty-classification-in-data-scarce-environments-a-machine-learning-approach-1711.06813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/household-poverty-classification-in-data-scarce-environments-a-machine-learning-approach-1711.06813"/></url>
<url><loc>https://scifaro.com/en/abs/deep-gaussian-mixture-models-1711.06929</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-gaussian-mixture-models-1711.06929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-gaussian-mixture-models-1711.06929"/></url>
<url><loc>https://scifaro.com/en/abs/bpgrad-towards-global-optimality-in-deep-learning-via-branch-and-pruning-1711.06959</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bpgrad-towards-global-optimality-in-deep-learning-via-branch-and-pruning-1711.06959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bpgrad-towards-global-optimality-in-deep-learning-via-branch-and-pruning-1711.06959"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-analysis-of-the-dynamics-of-a-special-kind-of-two-layered-neural-networks-with-ell-1-and-ell-2-regularization-1711.07005</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-analysis-of-the-dynamics-of-a-special-kind-of-two-layered-neural-networks-with-ell-1-and-ell-2-regularization-1711.07005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-analysis-of-the-dynamics-of-a-special-kind-of-two-layered-neural-networks-with-ell-1-and-ell-2-regularization-1711.07005"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-high-dimensional-bayesian-optimization-with-factor-graphs-1711.07033</loc><lastmod>2018-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-high-dimensional-bayesian-optimization-with-factor-graphs-1711.07033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-high-dimensional-bayesian-optimization-with-factor-graphs-1711.07033"/></url>
<url><loc>https://scifaro.com/en/abs/a-classifying-variational-autoencoder-with-application-to-polyphonic-music-generation-1711.07050</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-classifying-variational-autoencoder-with-application-to-polyphonic-music-generation-1711.07050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-classifying-variational-autoencoder-with-application-to-polyphonic-music-generation-1711.07050"/></url>
<url><loc>https://scifaro.com/en/abs/does-mitigating-ml-s-impact-disparity-require-treatment-disparity-1711.07076</loc><lastmod>2019-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-mitigating-ml-s-impact-disparity-require-treatment-disparity-1711.07076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-mitigating-ml-s-impact-disparity-require-treatment-disparity-1711.07076"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-considerations-in-contextual-bandits-1711.07077</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-considerations-in-contextual-bandits-1711.07077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-considerations-in-contextual-bandits-1711.07077"/></url>
<url><loc>https://scifaro.com/en/abs/compression-based-regularization-with-an-application-to-multi-task-learning-1711.07099</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compression-based-regularization-with-an-application-to-multi-task-learning-1711.07099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compression-based-regularization-with-an-application-to-multi-task-learning-1711.07099"/></url>
<url><loc>https://scifaro.com/en/abs/a-double-parametric-bootstrap-test-for-topic-models-1711.07104</loc><lastmod>2017-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-double-parametric-bootstrap-test-for-topic-models-1711.07104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-double-parametric-bootstrap-test-for-topic-models-1711.07104"/></url>
<url><loc>https://scifaro.com/en/abs/stein-variational-message-passing-for-continuous-graphical-models-1711.07168</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stein-variational-message-passing-for-continuous-graphical-models-1711.07168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stein-variational-message-passing-for-continuous-graphical-models-1711.07168"/></url>
<url><loc>https://scifaro.com/en/abs/convergent-block-coordinate-descent-for-training-tikhonov-regularized-deep-neural-networks-1711.07354</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergent-block-coordinate-descent-for-training-tikhonov-regularized-deep-neural-networks-1711.07354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergent-block-coordinate-descent-for-training-tikhonov-regularized-deep-neural-networks-1711.07354"/></url>
<url><loc>https://scifaro.com/en/abs/relaxed-oracles-for-semi-supervised-clustering-1711.07433</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relaxed-oracles-for-semi-supervised-clustering-1711.07433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relaxed-oracles-for-semi-supervised-clustering-1711.07433"/></url>
<url><loc>https://scifaro.com/en/abs/on-convergence-of-epanechnikov-mean-shift-1711.07441</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-convergence-of-epanechnikov-mean-shift-1711.07441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-convergence-of-epanechnikov-mean-shift-1711.07441"/></url>
<url><loc>https://scifaro.com/en/abs/optimistic-robust-optimization-with-applications-to-machine-learning-1711.07511</loc><lastmod>2017-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimistic-robust-optimization-with-applications-to-machine-learning-1711.07511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimistic-robust-optimization-with-applications-to-machine-learning-1711.07511"/></url>
<url><loc>https://scifaro.com/en/abs/subgroup-identification-and-interpretation-with-bayesian-nonparametric-models-in-health-care-claims-data-1711.07527</loc><lastmod>2017-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subgroup-identification-and-interpretation-with-bayesian-nonparametric-models-in-health-care-claims-data-1711.07527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subgroup-identification-and-interpretation-with-bayesian-nonparametric-models-in-health-care-claims-data-1711.07527"/></url>
<url><loc>https://scifaro.com/en/abs/review-on-parameter-estimation-in-hmrf-1711.07561</loc><lastmod>2017-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/review-on-parameter-estimation-in-hmrf-1711.07561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/review-on-parameter-estimation-in-hmrf-1711.07561"/></url>
<url><loc>https://scifaro.com/en/abs/finding-differentially-covarying-needles-in-a-temporally-evolving-haystack-a-scan-statistics-perspective-1711.07575</loc><lastmod>2017-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-differentially-covarying-needles-in-a-temporally-evolving-haystack-a-scan-statistics-perspective-1711.07575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-differentially-covarying-needles-in-a-temporally-evolving-haystack-a-scan-statistics-perspective-1711.07575"/></url>
<url><loc>https://scifaro.com/en/abs/mondrian-processes-for-flow-cytometry-analysis-1711.07673</loc><lastmod>2017-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mondrian-processes-for-flow-cytometry-analysis-1711.07673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mondrian-processes-for-flow-cytometry-analysis-1711.07673"/></url>
<url><loc>https://scifaro.com/en/abs/regret-analysis-for-continuous-dueling-bandit-1711.07693</loc><lastmod>2017-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-analysis-for-continuous-dueling-bandit-1711.07693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-analysis-for-continuous-dueling-bandit-1711.07693"/></url>
<url><loc>https://scifaro.com/en/abs/jaccard-analysis-and-lasso-based-feature-selection-for-location-fingerprinting-with-limited-computational-complexity-1711.07812</loc><lastmod>2017-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jaccard-analysis-and-lasso-based-feature-selection-for-location-fingerprinting-with-limited-computational-complexity-1711.07812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jaccard-analysis-and-lasso-based-feature-selection-for-location-fingerprinting-with-limited-computational-complexity-1711.07812"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-em-tau-algorithm-a-new-em-style-algorithm-with-partial-e-steps-1711.07814</loc><lastmod>2017-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-em-tau-algorithm-a-new-em-style-algorithm-with-partial-e-steps-1711.07814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-em-tau-algorithm-a-new-em-style-algorithm-with-partial-e-steps-1711.07814"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-performance-of-bipedal-standing-with-multi-channel-emg-1711.07894</loc><lastmod>2017-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-performance-of-bipedal-standing-with-multi-channel-emg-1711.07894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-performance-of-bipedal-standing-with-multi-channel-emg-1711.07894"/></url>
<url><loc>https://scifaro.com/en/abs/domain-generalization-by-marginal-transfer-learning-1711.07910</loc><lastmod>2021-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-generalization-by-marginal-transfer-learning-1711.07910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-generalization-by-marginal-transfer-learning-1711.07910"/></url>
<url><loc>https://scifaro.com/en/abs/disagreement-based-combinatorial-pure-exploration-sample-complexity-bounds-and-an-efficient-algorithm-1711.08018</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disagreement-based-combinatorial-pure-exploration-sample-complexity-bounds-and-an-efficient-algorithm-1711.08018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disagreement-based-combinatorial-pure-exploration-sample-complexity-bounds-and-an-efficient-algorithm-1711.08018"/></url>
<url><loc>https://scifaro.com/en/abs/the-doctor-just-won-t-accept-that-1711.08037</loc><lastmod>2017-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-doctor-just-won-t-accept-that-1711.08037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-doctor-just-won-t-accept-that-1711.08037"/></url>
<url><loc>https://scifaro.com/en/abs/i-know-it-when-i-see-it-visualization-and-intuitive-interpretability-1711.08042</loc><lastmod>2017-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/i-know-it-when-i-see-it-visualization-and-intuitive-interpretability-1711.08042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/i-know-it-when-i-see-it-visualization-and-intuitive-interpretability-1711.08042"/></url>
<url><loc>https://scifaro.com/en/abs/clonal-analysis-of-newborn-hippocampal-dentate-granule-cell-proliferation-and-development-in-temporal-lobe-epilepsy-1711.08063</loc><lastmod>2017-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clonal-analysis-of-newborn-hippocampal-dentate-granule-cell-proliferation-and-development-in-temporal-lobe-epilepsy-1711.08063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clonal-analysis-of-newborn-hippocampal-dentate-granule-cell-proliferation-and-development-in-temporal-lobe-epilepsy-1711.08063"/></url>
<url><loc>https://scifaro.com/en/abs/an-interpretable-and-sparse-neural-network-model-for-nonlinear-granger-causality-discovery-1711.08160</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-interpretable-and-sparse-neural-network-model-for-nonlinear-granger-causality-discovery-1711.08160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-interpretable-and-sparse-neural-network-model-for-nonlinear-granger-causality-discovery-1711.08160"/></url>
<url><loc>https://scifaro.com/en/abs/hypergraph-p-laplacian-a-differential-geometry-view-1711.08171</loc><lastmod>2022-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypergraph-p-laplacian-a-differential-geometry-view-1711.08171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypergraph-p-laplacian-a-differential-geometry-view-1711.08171"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-phenomenon-in-the-eyes-of-bayesian-deep-learning-1711.08244</loc><lastmod>2017-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-phenomenon-in-the-eyes-of-bayesian-deep-learning-1711.08244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-phenomenon-in-the-eyes-of-bayesian-deep-learning-1711.08244"/></url>
<url><loc>https://scifaro.com/en/abs/decomposition-strategies-for-constructive-preference-elicitation-1711.08247</loc><lastmod>2018-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decomposition-strategies-for-constructive-preference-elicitation-1711.08247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decomposition-strategies-for-constructive-preference-elicitation-1711.08247"/></url>
<url><loc>https://scifaro.com/en/abs/riemannian-tangent-space-mapping-and-elastic-net-regularization-for-cost-effective-eeg-markers-of-brain-atrophy-in-alzheimer-s-disease-1711.08359</loc><lastmod>2017-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/riemannian-tangent-space-mapping-and-elastic-net-regularization-for-cost-effective-eeg-markers-of-brain-atrophy-in-alzheimer-s-disease-1711.08359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/riemannian-tangent-space-mapping-and-elastic-net-regularization-for-cost-effective-eeg-markers-of-brain-atrophy-in-alzheimer-s-disease-1711.08359"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bayesian-inference-for-a-scale-mixture-of-normal-distributions-handling-missing-data-1711.08374</loc><lastmod>2017-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayesian-inference-for-a-scale-mixture-of-normal-distributions-handling-missing-data-1711.08374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayesian-inference-for-a-scale-mixture-of-normal-distributions-handling-missing-data-1711.08374"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-admm-algorithm-for-structural-break-detection-in-multivariate-time-series-1711.08392</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-admm-algorithm-for-structural-break-detection-in-multivariate-time-series-1711.08392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-admm-algorithm-for-structural-break-detection-in-multivariate-time-series-1711.08392"/></url>
<url><loc>https://scifaro.com/en/abs/leverage-score-sampling-for-faster-accelerated-regression-and-erm-1711.08426</loc><lastmod>2017-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leverage-score-sampling-for-faster-accelerated-regression-and-erm-1711.08426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leverage-score-sampling-for-faster-accelerated-regression-and-erm-1711.08426"/></url>
<url><loc>https://scifaro.com/en/abs/causal-nearest-neighbor-rules-for-optimal-treatment-regimes-1711.08451</loc><lastmod>2017-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-nearest-neighbor-rules-for-optimal-treatment-regimes-1711.08451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-nearest-neighbor-rules-for-optimal-treatment-regimes-1711.08451"/></url>
<url><loc>https://scifaro.com/en/abs/no-classification-without-representation-assessing-geodiversity-issues-in-open-data-sets-for-the-developing-world-1711.08536</loc><lastmod>2017-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-classification-without-representation-assessing-geodiversity-issues-in-open-data-sets-for-the-developing-world-1711.08536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-classification-without-representation-assessing-geodiversity-issues-in-open-data-sets-for-the-developing-world-1711.08536"/></url>
<url><loc>https://scifaro.com/en/abs/variational-encoding-of-complex-dynamics-1711.08576</loc><lastmod>2018-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-encoding-of-complex-dynamics-1711.08576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-encoding-of-complex-dynamics-1711.08576"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-learning-for-machine-translation-degeneracies-and-solutions-1711.08621</loc><lastmod>2017-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-learning-for-machine-translation-degeneracies-and-solutions-1711.08621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-learning-for-machine-translation-degeneracies-and-solutions-1711.08621"/></url>
<url><loc>https://scifaro.com/en/abs/bias-compensated-normalized-maximum-correntropy-criterion-algorithm-for-system-identification-with-noisy-input-1711.08677</loc><lastmod>2017-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bias-compensated-normalized-maximum-correntropy-criterion-algorithm-for-system-identification-with-noisy-input-1711.08677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bias-compensated-normalized-maximum-correntropy-criterion-algorithm-for-system-identification-with-noisy-input-1711.08677"/></url>
<url><loc>https://scifaro.com/en/abs/practical-hash-functions-for-similarity-estimation-and-dimensionality-reduction-1711.08797</loc><lastmod>2017-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-hash-functions-for-similarity-estimation-and-dimensionality-reduction-1711.08797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-hash-functions-for-similarity-estimation-and-dimensionality-reduction-1711.08797"/></url>
<url><loc>https://scifaro.com/en/abs/the-nearest-neighbor-information-estimator-is-adaptively-near-minimax-rate-optimal-1711.08824</loc><lastmod>2018-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-nearest-neighbor-information-estimator-is-adaptively-near-minimax-rate-optimal-1711.08824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-nearest-neighbor-information-estimator-is-adaptively-near-minimax-rate-optimal-1711.08824"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-shim-gaps-in-aircraft-assembly-with-machine-learning-and-sparse-sensing-1711.08861</loc><lastmod>2020-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-shim-gaps-in-aircraft-assembly-with-machine-learning-and-sparse-sensing-1711.08861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-shim-gaps-in-aircraft-assembly-with-machine-learning-and-sparse-sensing-1711.08861"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-semantic-topic-embedding-model-using-variational-autoencoder-1711.08870</loc><lastmod>2017-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-semantic-topic-embedding-model-using-variational-autoencoder-1711.08870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-semantic-topic-embedding-model-using-variational-autoencoder-1711.08870"/></url>
<url><loc>https://scifaro.com/en/abs/computing-the-quality-of-the-laplace-approximation-1711.08911</loc><lastmod>2017-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-the-quality-of-the-laplace-approximation-1711.08911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-the-quality-of-the-laplace-approximation-1711.08911"/></url>
<url><loc>https://scifaro.com/en/abs/automated-algorithm-selection-on-continuous-black-box-problems-by-combining-exploratory-landscape-analysis-and-machine-learning-1711.08921</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-algorithm-selection-on-continuous-black-box-problems-by-combining-exploratory-landscape-analysis-and-machine-learning-1711.08921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-algorithm-selection-on-continuous-black-box-problems-by-combining-exploratory-landscape-analysis-and-machine-learning-1711.08921"/></url>
<url><loc>https://scifaro.com/en/abs/causal-generative-neural-networks-1711.08936</loc><lastmod>2018-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-generative-neural-networks-1711.08936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-generative-neural-networks-1711.08936"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-inverse-covariance-estimation-for-chordal-structures-1711.09131</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-inverse-covariance-estimation-for-chordal-structures-1711.09131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-inverse-covariance-estimation-for-chordal-structures-1711.09131"/></url>
<url><loc>https://scifaro.com/en/abs/persistent-homology-machine-learning-for-fingerprint-classification-1711.09158</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/persistent-homology-machine-learning-for-fingerprint-classification-1711.09158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/persistent-homology-machine-learning-for-fingerprint-classification-1711.09158"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-the-effects-of-enforcing-disentanglement-on-variational-autoencoders-1711.09159</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-the-effects-of-enforcing-disentanglement-on-variational-autoencoders-1711.09159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-the-effects-of-enforcing-disentanglement-on-variational-autoencoders-1711.09159"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-facilitates-learning-mixtures-of-discrete-product-distributions-1711.09195</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-facilitates-learning-mixtures-of-discrete-product-distributions-1711.09195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-facilitates-learning-mixtures-of-discrete-product-distributions-1711.09195"/></url>
<url><loc>https://scifaro.com/en/abs/stacked-kernel-network-1711.09219</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stacked-kernel-network-1711.09219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stacked-kernel-network-1711.09219"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-hamiltonian-monte-carlo-with-neural-networks-1711.09268</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-hamiltonian-monte-carlo-with-neural-networks-1711.09268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-hamiltonian-monte-carlo-with-neural-networks-1711.09268"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-strategy-for-active-learning-with-smooth-decision-boundary-1711.09294</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-strategy-for-active-learning-with-smooth-decision-boundary-1711.09294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-strategy-for-active-learning-with-smooth-decision-boundary-1711.09294"/></url>
<url><loc>https://scifaro.com/en/abs/training-confidence-calibrated-classifiers-for-detecting-out-of-distribution-samples-1711.09325</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-confidence-calibrated-classifiers-for-detecting-out-of-distribution-samples-1711.09325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-confidence-calibrated-classifiers-for-detecting-out-of-distribution-samples-1711.09325"/></url>
<url><loc>https://scifaro.com/en/abs/an-introduction-to-deep-visual-explanation-1711.09482</loc><lastmod>2018-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-introduction-to-deep-visual-explanation-1711.09482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-introduction-to-deep-visual-explanation-1711.09482"/></url>
<url><loc>https://scifaro.com/en/abs/highly-efficient-human-action-recognition-with-quantum-genetic-algorithm-optimized-support-vector-machine-1711.09511</loc><lastmod>2017-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/highly-efficient-human-action-recognition-with-quantum-genetic-algorithm-optimized-support-vector-machine-1711.09511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/highly-efficient-human-action-recognition-with-quantum-genetic-algorithm-optimized-support-vector-machine-1711.09511"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-analysis-via-stochastic-differential-equations-of-gradient-descent-algorithms-in-statistical-and-computational-paradigms-1711.09514</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-analysis-via-stochastic-differential-equations-of-gradient-descent-algorithms-in-statistical-and-computational-paradigms-1711.09514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-analysis-via-stochastic-differential-equations-of-gradient-descent-algorithms-in-statistical-and-computational-paradigms-1711.09514"/></url>
<url><loc>https://scifaro.com/en/abs/proceedings-of-nips-2017-workshop-on-machine-learning-for-the-developing-world-1711.09522</loc><lastmod>2017-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proceedings-of-nips-2017-workshop-on-machine-learning-for-the-developing-world-1711.09522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proceedings-of-nips-2017-workshop-on-machine-learning-for-the-developing-world-1711.09522"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-biased-complementary-labels-1711.09535</loc><lastmod>2018-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-biased-complementary-labels-1711.09535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-biased-complementary-labels-1711.09535"/></url>
<url><loc>https://scifaro.com/en/abs/one-shot-coresets-the-case-of-k-clustering-1711.09649</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-shot-coresets-the-case-of-k-clustering-1711.09649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-shot-coresets-the-case-of-k-clustering-1711.09649"/></url>
<url><loc>https://scifaro.com/en/abs/context-modulation-of-hippocampal-dynamics-and-deep-convolutional-networks-1711.09876</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-modulation-of-hippocampal-dynamics-and-deep-convolutional-networks-1711.09876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-modulation-of-hippocampal-dynamics-and-deep-convolutional-networks-1711.09876"/></url>
<url><loc>https://scifaro.com/en/abs/proceedings-of-nips-2017-symposium-on-interpretable-machine-learning-1711.09889</loc><lastmod>2017-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proceedings-of-nips-2017-symposium-on-interpretable-machine-learning-1711.09889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proceedings-of-nips-2017-symposium-on-interpretable-machine-learning-1711.09889"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-adolescent-suicide-attempts-with-neural-networks-1711.10057</loc><lastmod>2017-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-adolescent-suicide-attempts-with-neural-networks-1711.10057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-adolescent-suicide-attempts-with-neural-networks-1711.10057"/></url>
<url><loc>https://scifaro.com/en/abs/dependent-relevance-determination-for-smooth-and-structured-sparse-regression-1711.10058</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dependent-relevance-determination-for-smooth-and-structured-sparse-regression-1711.10058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dependent-relevance-determination-for-smooth-and-structured-sparse-regression-1711.10058"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-completion-algorithms-in-big-data-analytics-1711.10105</loc><lastmod>2018-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-completion-algorithms-in-big-data-analytics-1711.10105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-completion-algorithms-in-big-data-analytics-1711.10105"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-for-gaussian-process-models-with-linear-complexity-1711.10127</loc><lastmod>2018-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-for-gaussian-process-models-with-linear-complexity-1711.10127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-for-gaussian-process-models-with-linear-complexity-1711.10127"/></url>
<url><loc>https://scifaro.com/en/abs/qcba-improving-rule-classifiers-learned-from-quantitative-data-by-recovering-information-lost-by-discretisation-1711.10166</loc><lastmod>2023-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/qcba-improving-rule-classifiers-learned-from-quantitative-data-by-recovering-information-lost-by-discretisation-1711.10166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/qcba-improving-rule-classifiers-learned-from-quantitative-data-by-recovering-information-lost-by-discretisation-1711.10166"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-of-hierarchical-representations-of-molecules-using-neural-message-passing-1711.10168</loc><lastmod>2017-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-of-hierarchical-representations-of-molecules-using-neural-message-passing-1711.10168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-of-hierarchical-representations-of-molecules-using-neural-message-passing-1711.10168"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-rank-based-on-analogical-reasoning-1711.10207</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-rank-based-on-analogical-reasoning-1711.10207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-rank-based-on-analogical-reasoning-1711.10207"/></url>
<url><loc>https://scifaro.com/en/abs/are-gans-created-equal-a-large-scale-study-1711.10337</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-gans-created-equal-a-large-scale-study-1711.10337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-gans-created-equal-a-large-scale-study-1711.10337"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-based-inference-of-functions-over-graphs-1711.10353</loc><lastmod>2018-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-based-inference-of-functions-over-graphs-1711.10353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-based-inference-of-functions-over-graphs-1711.10353"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-and-optimization-of-composite-outcomes-1711.10581</loc><lastmod>2020-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-and-optimization-of-composite-outcomes-1711.10581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-and-optimization-of-composite-outcomes-1711.10581"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-readmission-risk-from-doctors-notes-1711.10663</loc><lastmod>2017-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-readmission-risk-from-doctors-notes-1711.10663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-readmission-risk-from-doctors-notes-1711.10663"/></url>
<url><loc>https://scifaro.com/en/abs/introduction-to-tensor-decompositions-and-their-applications-in-machine-learning-1711.10781</loc><lastmod>2017-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introduction-to-tensor-decompositions-and-their-applications-in-machine-learning-1711.10781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introduction-to-tensor-decompositions-and-their-applications-in-machine-learning-1711.10781"/></url>
<url><loc>https://scifaro.com/en/abs/faster-ica-under-orthogonal-constraint-1711.10873</loc><lastmod>2017-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-ica-under-orthogonal-constraint-1711.10873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-ica-under-orthogonal-constraint-1711.10873"/></url>
<url><loc>https://scifaro.com/en/abs/particle-optimization-in-stochastic-gradient-mcmc-1711.10927</loc><lastmod>2017-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-optimization-in-stochastic-gradient-mcmc-1711.10927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-optimization-in-stochastic-gradient-mcmc-1711.10927"/></url>
<url><loc>https://scifaro.com/en/abs/forest-based-methods-and-ensemble-model-output-statistics-for-rainfall-ensemble-forecasting-1711.10937</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forest-based-methods-and-ensemble-model-output-statistics-for-rainfall-ensemble-forecasting-1711.10937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forest-based-methods-and-ensemble-model-output-statistics-for-rainfall-ensemble-forecasting-1711.10937"/></url>
<url><loc>https://scifaro.com/en/abs/a-benchmarking-environment-for-reinforcement-learning-based-task-oriented-dialogue-management-1711.11023</loc><lastmod>2018-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-benchmarking-environment-for-reinforcement-learning-based-task-oriented-dialogue-management-1711.11023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-benchmarking-environment-for-reinforcement-learning-based-task-oriented-dialogue-management-1711.11023"/></url>
<url><loc>https://scifaro.com/en/abs/wisdom-of-the-crowd-from-unsupervised-dimension-reduction-1711.11034</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wisdom-of-the-crowd-from-unsupervised-dimension-reduction-1711.11034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wisdom-of-the-crowd-from-unsupervised-dimension-reduction-1711.11034"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-horizon-quantile-recurrent-forecaster-1711.11053</loc><lastmod>2018-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-horizon-quantile-recurrent-forecaster-1711.11053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-horizon-quantile-recurrent-forecaster-1711.11053"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-neurons-learn-stochastic-activation-functions-1711.11059</loc><lastmod>2017-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-neurons-learn-stochastic-activation-functions-1711.11059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-neurons-learn-stochastic-activation-functions-1711.11059"/></url>
<url><loc>https://scifaro.com/en/abs/embedded-real-time-fall-detection-using-deep-learning-for-elderly-care-1711.11200</loc><lastmod>2017-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embedded-real-time-fall-detection-using-deep-learning-for-elderly-care-1711.11200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embedded-real-time-fall-detection-using-deep-learning-for-elderly-care-1711.11200"/></url>
<url><loc>https://scifaro.com/en/abs/riemannian-stein-variational-gradient-descent-for-bayesian-inference-1711.11216</loc><lastmod>2017-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/riemannian-stein-variational-gradient-descent-for-bayesian-inference-1711.11216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/riemannian-stein-variational-gradient-descent-for-bayesian-inference-1711.11216"/></url>
<url><loc>https://scifaro.com/en/abs/interpretability-beyond-feature-attribution-quantitative-testing-with-concept-activation-vectors-tcav-1711.11279</loc><lastmod>2019-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretability-beyond-feature-attribution-quantitative-testing-with-concept-activation-vectors-tcav-1711.11279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretability-beyond-feature-attribution-quantitative-testing-with-concept-activation-vectors-tcav-1711.11279"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-data-free-voice-conversion-using-cycle-consistent-adversarial-networks-1711.11293</loc><lastmod>2017-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-data-free-voice-conversion-using-cycle-consistent-adversarial-networks-1711.11293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-data-free-voice-conversion-using-cycle-consistent-adversarial-networks-1711.11293"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-learn-from-weak-supervision-by-full-supervision-1711.11383</loc><lastmod>2017-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-learn-from-weak-supervision-by-full-supervision-1711.11383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-learn-from-weak-supervision-by-full-supervision-1711.11383"/></url>
<url><loc>https://scifaro.com/en/abs/who-wins-the-miss-contest-for-imputation-methods-our-vote-for-miss-boopf-1711.11394</loc><lastmod>2017-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/who-wins-the-miss-contest-for-imputation-methods-our-vote-for-miss-boopf-1711.11394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/who-wins-the-miss-contest-for-imputation-methods-our-vote-for-miss-boopf-1711.11394"/></url>
<url><loc>https://scifaro.com/en/abs/on-reducing-the-communication-cost-of-the-diffusion-lms-algorithm-1711.11423</loc><lastmod>2018-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-reducing-the-communication-cost-of-the-diffusion-lms-algorithm-1711.11423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-reducing-the-communication-cost-of-the-diffusion-lms-algorithm-1711.11423"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-estimates-for-efficient-neural-network-based-dialogue-policy-optimisation-1711.11486</loc><lastmod>2017-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-estimates-for-efficient-neural-network-based-dialogue-policy-optimisation-1711.11486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-estimates-for-efficient-neural-network-based-dialogue-policy-optimisation-1711.11486"/></url>
<url><loc>https://scifaro.com/en/abs/thermostat-assisted-continuously-tempered-hamiltonian-monte-carlo-for-bayesian-learning-1711.11511</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thermostat-assisted-continuously-tempered-hamiltonian-monte-carlo-for-bayesian-learning-1711.11511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thermostat-assisted-continuously-tempered-hamiltonian-monte-carlo-for-bayesian-learning-1711.11511"/></url>
<url><loc>https://scifaro.com/en/abs/improved-linear-embeddings-via-lagrange-duality-1711.11527</loc><lastmod>2017-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-linear-embeddings-via-lagrange-duality-1711.11527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-linear-embeddings-via-lagrange-duality-1711.11527"/></url>
<url><loc>https://scifaro.com/en/abs/towards-personalized-modeling-of-the-female-hormonal-cycle-experiments-with-mechanistic-models-and-gaussian-processes-1712.00117</loc><lastmod>2017-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-personalized-modeling-of-the-female-hormonal-cycle-experiments-with-mechanistic-models-and-gaussian-processes-1712.00117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-personalized-modeling-of-the-female-hormonal-cycle-experiments-with-mechanistic-models-and-gaussian-processes-1712.00117"/></url>
<url><loc>https://scifaro.com/en/abs/label-efficient-learning-of-transferable-representations-across-domains-and-tasks-1712.00123</loc><lastmod>2017-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-efficient-learning-of-transferable-representations-across-domains-and-tasks-1712.00123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-efficient-learning-of-transferable-representations-across-domains-and-tasks-1712.00123"/></url>
<url><loc>https://scifaro.com/en/abs/an-interpretable-latent-variable-model-for-attribute-applicability-in-the-amazon-catalogue-1712.00126</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-interpretable-latent-variable-model-for-attribute-applicability-in-the-amazon-catalogue-1712.00126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-interpretable-latent-variable-model-for-attribute-applicability-in-the-amazon-catalogue-1712.00126"/></url>
<url><loc>https://scifaro.com/en/abs/faithful-inversion-of-generative-models-for-effective-amortized-inference-1712.00287</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faithful-inversion-of-generative-models-for-effective-amortized-inference-1712.00287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faithful-inversion-of-generative-models-for-effective-amortized-inference-1712.00287"/></url>
<url><loc>https://scifaro.com/en/abs/prior-and-likelihood-choices-for-bayesian-matrix-factorisation-on-small-datasets-1712.00288</loc><lastmod>2017-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prior-and-likelihood-choices-for-bayesian-matrix-factorisation-on-small-datasets-1712.00288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prior-and-likelihood-choices-for-bayesian-matrix-factorisation-on-small-datasets-1712.00288"/></url>
<url><loc>https://scifaro.com/en/abs/group-sparse-bayesian-learning-for-active-surveillance-on-epidemic-dynamics-1712.00328</loc><lastmod>2017-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-sparse-bayesian-learning-for-active-surveillance-on-epidemic-dynamics-1712.00328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-sparse-bayesian-learning-for-active-surveillance-on-epidemic-dynamics-1712.00328"/></url>
<url><loc>https://scifaro.com/en/abs/the-reparameterization-trick-for-acquisition-functions-1712.00424</loc><lastmod>2017-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-reparameterization-trick-for-acquisition-functions-1712.00424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-reparameterization-trick-for-acquisition-functions-1712.00424"/></url>
<url><loc>https://scifaro.com/en/abs/intelligent-ehrs-predicting-procedure-codes-from-diagnosis-codes-1712.00481</loc><lastmod>2021-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intelligent-ehrs-predicting-procedure-codes-from-diagnosis-codes-1712.00481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intelligent-ehrs-predicting-procedure-codes-from-diagnosis-codes-1712.00481"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-semi-nonnegative-tri-matrix-factorization-to-identify-pathways-associated-with-cancer-types-1712.00520</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-semi-nonnegative-tri-matrix-factorization-to-identify-pathways-associated-with-cancer-types-1712.00520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-semi-nonnegative-tri-matrix-factorization-to-identify-pathways-associated-with-cancer-types-1712.00520"/></url>
<url><loc>https://scifaro.com/en/abs/survival-supervised-topic-modeling-with-anchor-words-characterizing-pancreatitis-outcomes-1712.00535</loc><lastmod>2017-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survival-supervised-topic-modeling-with-anchor-words-characterizing-pancreatitis-outcomes-1712.00535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survival-supervised-topic-modeling-with-anchor-words-characterizing-pancreatitis-outcomes-1712.00535"/></url>
<url><loc>https://scifaro.com/en/abs/a-global-feature-extraction-model-for-the-effective-computer-aided-diagnosis-of-mild-cognitive-impairment-using-structural-mri-images-1712.00556</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-global-feature-extraction-model-for-the-effective-computer-aided-diagnosis-of-mild-cognitive-impairment-using-structural-mri-images-1712.00556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-global-feature-extraction-model-for-the-effective-computer-aided-diagnosis-of-mild-cognitive-impairment-using-structural-mri-images-1712.00556"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-mortality-prediction-for-elderly-patients-using-medicare-claims-data-1712.00644</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-mortality-prediction-for-elderly-patients-using-medicare-claims-data-1712.00644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-mortality-prediction-for-elderly-patients-using-medicare-claims-data-1712.00644"/></url>
<url><loc>https://scifaro.com/en/abs/gangs-generative-adversarial-network-games-1712.00679</loc><lastmod>2017-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gangs-generative-adversarial-network-games-1712.00679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gangs-generative-adversarial-network-games-1712.00679"/></url>
<url><loc>https://scifaro.com/en/abs/joint-topic-semantic-aware-social-recommendation-for-online-voting-1712.00731</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-topic-semantic-aware-social-recommendation-for-online-voting-1712.00731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-topic-semantic-aware-social-recommendation-for-online-voting-1712.00731"/></url>
<url><loc>https://scifaro.com/en/abs/shine-signed-heterogeneous-information-network-embedding-for-sentiment-link-prediction-1712.00732</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shine-signed-heterogeneous-information-network-embedding-for-sentiment-link-prediction-1712.00732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shine-signed-heterogeneous-information-network-embedding-for-sentiment-link-prediction-1712.00732"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-detect-chest-radiographs-containing-lung-nodules-using-visual-attention-networks-1712.00996</loc><lastmod>2019-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-detect-chest-radiographs-containing-lung-nodules-using-visual-attention-networks-1712.00996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-detect-chest-radiographs-containing-lung-nodules-using-visual-attention-networks-1712.00996"/></url>
<url><loc>https://scifaro.com/en/abs/vprop-variational-inference-using-rmsprop-1712.01038</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vprop-variational-inference-using-rmsprop-1712.01038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vprop-variational-inference-using-rmsprop-1712.01038"/></url>
<url><loc>https://scifaro.com/en/abs/natural-langevin-dynamics-for-neural-networks-1712.01076</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/natural-langevin-dynamics-for-neural-networks-1712.01076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/natural-langevin-dynamics-for-neural-networks-1712.01076"/></url>
<url><loc>https://scifaro.com/en/abs/determinants-of-mobile-money-adoption-in-pakistan-1712.01081</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/determinants-of-mobile-money-adoption-in-pakistan-1712.01081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/determinants-of-mobile-money-adoption-in-pakistan-1712.01081"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-maximum-likelihood-optimization-via-hypernetworks-1712.01141</loc><lastmod>2018-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-maximum-likelihood-optimization-via-hypernetworks-1712.01141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-maximum-likelihood-optimization-via-hypernetworks-1712.01141"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-inference-for-incomplete-ranking-data-the-case-of-rank-dependent-coarsening-1712.01158</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-inference-for-incomplete-ranking-data-the-case-of-rank-dependent-coarsening-1712.01158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-inference-for-incomplete-ranking-data-the-case-of-rank-dependent-coarsening-1712.01158"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparse-neural-networks-through-l-0-regularization-1712.01312</loc><lastmod>2018-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparse-neural-networks-through-l-0-regularization-1712.01312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparse-neural-networks-through-l-0-regularization-1712.01312"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-bandits-with-adaptive-discretization-1712.01447</loc><lastmod>2018-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-bandits-with-adaptive-discretization-1712.01447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-bandits-with-adaptive-discretization-1712.01447"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-generative-model-for-validity-in-complex-discrete-structures-1712.01664</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-generative-model-for-validity-in-complex-discrete-structures-1712.01664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-generative-model-for-validity-in-complex-discrete-structures-1712.01664"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-dropout-1712.01665</loc><lastmod>2017-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-dropout-1712.01665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-dropout-1712.01665"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-human-learning-1712.01856</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-human-learning-1712.01856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-human-learning-1712.01856"/></url>
<url><loc>https://scifaro.com/en/abs/concentration-of-weakly-dependent-banach-valued-sums-and-applications-to-statistical-learning-methods-1712.01934</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concentration-of-weakly-dependent-banach-valued-sums-and-applications-to-statistical-learning-methods-1712.01934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concentration-of-weakly-dependent-banach-valued-sums-and-applications-to-statistical-learning-methods-1712.01934"/></url>
<url><loc>https://scifaro.com/en/abs/smiles2vec-an-interpretable-general-purpose-deep-neural-network-for-predicting-chemical-properties-1712.02034</loc><lastmod>2018-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smiles2vec-an-interpretable-general-purpose-deep-neural-network-for-predicting-chemical-properties-1712.02034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smiles2vec-an-interpretable-general-purpose-deep-neural-network-for-predicting-chemical-properties-1712.02034"/></url>
<url><loc>https://scifaro.com/en/abs/a-trans-disciplinary-review-of-deep-learning-research-for-water-resources-scientists-1712.02162</loc><lastmod>2018-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-trans-disciplinary-review-of-deep-learning-research-for-water-resources-scientists-1712.02162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-trans-disciplinary-review-of-deep-learning-research-for-water-resources-scientists-1712.02162"/></url>
<url><loc>https://scifaro.com/en/abs/an-innovative-solution-for-breast-cancer-textual-big-data-analysis-1712.02259</loc><lastmod>2021-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-innovative-solution-for-breast-cancer-textual-big-data-analysis-1712.02259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-innovative-solution-for-breast-cancer-textual-big-data-analysis-1712.02259"/></url>
<url><loc>https://scifaro.com/en/abs/exchangeable-modelling-of-relational-data-checking-sparsity-train-test-splitting-and-sparse-exchangeable-poisson-matrix-factorization-1712.02311</loc><lastmod>2017-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exchangeable-modelling-of-relational-data-checking-sparsity-train-test-splitting-and-sparse-exchangeable-poisson-matrix-factorization-1712.02311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exchangeable-modelling-of-relational-data-checking-sparsity-train-test-splitting-and-sparse-exchangeable-poisson-matrix-factorization-1712.02311"/></url>
<url><loc>https://scifaro.com/en/abs/sgan-an-alternative-training-of-generative-adversarial-networks-1712.02330</loc><lastmod>2017-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sgan-an-alternative-training-of-generative-adversarial-networks-1712.02330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sgan-an-alternative-training-of-generative-adversarial-networks-1712.02330"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-learning-of-stochastic-dynamic-equations-1712.02432</loc><lastmod>2018-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-learning-of-stochastic-dynamic-equations-1712.02432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-learning-of-stochastic-dynamic-equations-1712.02432"/></url>
<url><loc>https://scifaro.com/en/abs/cost-sensitive-detection-with-variational-autoencoders-for-environmental-acoustic-sensing-1712.02488</loc><lastmod>2017-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-sensitive-detection-with-variational-autoencoders-for-environmental-acoustic-sensing-1712.02488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-sensitive-detection-with-variational-autoencoders-for-environmental-acoustic-sensing-1712.02488"/></url>
<url><loc>https://scifaro.com/en/abs/gini-regularized-optimal-transport-with-an-application-to-spatio-temporal-forecasting-1712.02512</loc><lastmod>2017-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gini-regularized-optimal-transport-with-an-application-to-spatio-temporal-forecasting-1712.02512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gini-regularized-optimal-transport-with-an-application-to-spatio-temporal-forecasting-1712.02512"/></url>
<url><loc>https://scifaro.com/en/abs/learning-random-fourier-features-by-hybrid-constrained-optimization-1712.02527</loc><lastmod>2017-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-random-fourier-features-by-hybrid-constrained-optimization-1712.02527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-random-fourier-features-by-hybrid-constrained-optimization-1712.02527"/></url>
<url><loc>https://scifaro.com/en/abs/solving-internal-covariate-shift-in-deep-learning-with-linked-neurons-1712.02609</loc><lastmod>2017-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-internal-covariate-shift-in-deep-learning-with-linked-neurons-1712.02609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-internal-covariate-shift-in-deep-learning-with-linked-neurons-1712.02609"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-variational-dropout-1712.02629</loc><lastmod>2017-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-variational-dropout-1712.02629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-variational-dropout-1712.02629"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-robust-regression-and-outliers-detection-with-slope-1712.02640</loc><lastmod>2017-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-robust-regression-and-outliers-detection-with-slope-1712.02640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-robust-regression-and-outliers-detection-with-slope-1712.02640"/></url>
<url><loc>https://scifaro.com/en/abs/using-svdd-in-simplemkl-for-3d-shapes-filtering-1712.02658</loc><lastmod>2017-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-svdd-in-simplemkl-for-3d-shapes-filtering-1712.02658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-svdd-in-simplemkl-for-3d-shapes-filtering-1712.02658"/></url>
<url><loc>https://scifaro.com/en/abs/how-consistent-is-my-model-with-the-data-information-theoretic-model-check-1712.02675</loc><lastmod>2017-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-consistent-is-my-model-with-the-data-information-theoretic-model-check-1712.02675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-consistent-is-my-model-with-the-data-information-theoretic-model-check-1712.02675"/></url>
<url><loc>https://scifaro.com/en/abs/using-rule-based-labels-for-weak-supervised-learning-a-chemnet-for-transferable-chemical-property-prediction-1712.02734</loc><lastmod>2018-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-rule-based-labels-for-weak-supervised-learning-a-chemnet-for-transferable-chemical-property-prediction-1712.02734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-rule-based-labels-for-weak-supervised-learning-a-chemnet-for-transferable-chemical-property-prediction-1712.02734"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-learning-of-deterministic-decision-trees-1712.02743</loc><lastmod>2017-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-learning-of-deterministic-decision-trees-1712.02743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-learning-of-deterministic-decision-trees-1712.02743"/></url>
<url><loc>https://scifaro.com/en/abs/relnn-a-deep-neural-model-for-relational-learning-1712.02831</loc><lastmod>2017-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relnn-a-deep-neural-model-for-relational-learning-1712.02831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relnn-a-deep-neural-model-for-relational-learning-1712.02831"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-adaptive-bayesian-linear-regression-for-scalable-bayesian-optimization-with-warm-start-1712.02902</loc><lastmod>2017-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-adaptive-bayesian-linear-regression-for-scalable-bayesian-optimization-with-warm-start-1712.02902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-adaptive-bayesian-linear-regression-for-scalable-bayesian-optimization-with-warm-start-1712.02902"/></url>
<url><loc>https://scifaro.com/en/abs/blind-multiclass-ensemble-classification-1712.02903</loc><lastmod>2018-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blind-multiclass-ensemble-classification-1712.02903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blind-multiclass-ensemble-classification-1712.02903"/></url>
<url><loc>https://scifaro.com/en/abs/on-adaptive-estimation-for-dynamic-bernoulli-bandits-1712.03134</loc><lastmod>2018-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-adaptive-estimation-for-dynamic-bernoulli-bandits-1712.03134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-adaptive-estimation-for-dynamic-bernoulli-bandits-1712.03134"/></url>
<url><loc>https://scifaro.com/en/abs/fast-low-rank-matrix-estimation-without-the-condition-number-1712.03281</loc><lastmod>2017-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-low-rank-matrix-estimation-without-the-condition-number-1712.03281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-low-rank-matrix-estimation-without-the-condition-number-1712.03281"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-over-non-differentiable-cardiac-simulators-using-bayesian-optimization-1712.03353</loc><lastmod>2017-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-over-non-differentiable-cardiac-simulators-using-bayesian-optimization-1712.03353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-over-non-differentiable-cardiac-simulators-using-bayesian-optimization-1712.03353"/></url>
<url><loc>https://scifaro.com/en/abs/elastic-net-regularized-high-dimensional-negative-binomial-regression-consistency-and-weak-signals-detection-1712.03412</loc><lastmod>2022-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elastic-net-regularized-high-dimensional-negative-binomial-regression-consistency-and-weak-signals-detection-1712.03412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elastic-net-regularized-high-dimensional-negative-binomial-regression-consistency-and-weak-signals-detection-1712.03412"/></url>
<url><loc>https://scifaro.com/en/abs/identifiability-of-kronecker-structured-dictionaries-for-tensor-data-1712.03471</loc><lastmod>2018-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifiability-of-kronecker-structured-dictionaries-for-tensor-data-1712.03471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifiability-of-kronecker-structured-dictionaries-for-tensor-data-1712.03471"/></url>
<url><loc>https://scifaro.com/en/abs/capsule-network-performance-on-complex-data-1712.03480</loc><lastmod>2017-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/capsule-network-performance-on-complex-data-1712.03480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/capsule-network-performance-on-complex-data-1712.03480"/></url>
<url><loc>https://scifaro.com/en/abs/rnn-based-counterfactual-prediction-with-an-application-to-homestead-policy-and-public-schooling-1712.03553</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rnn-based-counterfactual-prediction-with-an-application-to-homestead-policy-and-public-schooling-1712.03553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rnn-based-counterfactual-prediction-with-an-application-to-homestead-policy-and-public-schooling-1712.03553"/></url>
<url><loc>https://scifaro.com/en/abs/sensitivity-analysis-for-predictive-uncertainty-in-bayesian-neural-networks-1712.03605</loc><lastmod>2017-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sensitivity-analysis-for-predictive-uncertainty-in-bayesian-neural-networks-1712.03605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sensitivity-analysis-for-predictive-uncertainty-in-bayesian-neural-networks-1712.03605"/></url>
<url><loc>https://scifaro.com/en/abs/lifting-high-dimensional-nonlinear-models-with-gaussian-regressors-1712.03638</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifting-high-dimensional-nonlinear-models-with-gaussian-regressors-1712.03638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifting-high-dimensional-nonlinear-models-with-gaussian-regressors-1712.03638"/></url>
<url><loc>https://scifaro.com/en/abs/artificial-intelligence-and-statistics-1712.03779</loc><lastmod>2017-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/artificial-intelligence-and-statistics-1712.03779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/artificial-intelligence-and-statistics-1712.03779"/></url>
<url><loc>https://scifaro.com/en/abs/on-quadratic-penalties-in-elastic-weight-consolidation-1712.03847</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-quadratic-penalties-in-elastic-weight-consolidation-1712.03847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-quadratic-penalties-in-elastic-weight-consolidation-1712.03847"/></url>
<url><loc>https://scifaro.com/en/abs/gibbsnet-iterative-adversarial-inference-for-deep-graphical-models-1712.04120</loc><lastmod>2017-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gibbsnet-iterative-adversarial-inference-for-deep-graphical-models-1712.04120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gibbsnet-iterative-adversarial-inference-for-deep-graphical-models-1712.04120"/></url>
<url><loc>https://scifaro.com/en/abs/concept-formation-and-dynamics-of-repeated-inference-in-deep-generative-models-1712.04195</loc><lastmod>2017-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concept-formation-and-dynamics-of-repeated-inference-in-deep-generative-models-1712.04195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concept-formation-and-dynamics-of-repeated-inference-in-deep-generative-models-1712.04195"/></url>
<url><loc>https://scifaro.com/en/abs/decision-based-adversarial-attacks-reliable-attacks-against-black-box-machine-learning-models-1712.04248</loc><lastmod>2018-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decision-based-adversarial-attacks-reliable-attacks-against-black-box-machine-learning-models-1712.04248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decision-based-adversarial-attacks-reliable-attacks-against-black-box-machine-learning-models-1712.04248"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparse-graphs-for-prediction-and-filtering-of-multivariate-data-processes-1712.04542</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparse-graphs-for-prediction-and-filtering-of-multivariate-data-processes-1712.04542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparse-graphs-for-prediction-and-filtering-of-multivariate-data-processes-1712.04542"/></url>
<url><loc>https://scifaro.com/en/abs/a-mathematical-programming-approach-for-integrated-multiple-linear-regression-subset-selection-and-validation-1712.04543</loc><lastmod>2020-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-mathematical-programming-approach-for-integrated-multiple-linear-regression-subset-selection-and-validation-1712.04543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-mathematical-programming-approach-for-integrated-multiple-linear-regression-subset-selection-and-validation-1712.04543"/></url>
<url><loc>https://scifaro.com/en/abs/stability-selection-for-structured-variable-selection-1712.04688</loc><lastmod>2017-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-selection-for-structured-variable-selection-1712.04688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-selection-for-structured-variable-selection-1712.04688"/></url>
<url><loc>https://scifaro.com/en/abs/a-quantum-extension-of-variational-bayes-inference-1712.04709</loc><lastmod>2018-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-quantum-extension-of-variational-bayes-inference-1712.04709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-quantum-extension-of-variational-bayes-inference-1712.04709"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-testing-for-outlier-detection-in-functional-data-1712.04775</loc><lastmod>2017-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-testing-for-outlier-detection-in-functional-data-1712.04775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-testing-for-outlier-detection-in-functional-data-1712.04775"/></url>
<url><loc>https://scifaro.com/en/abs/fisher-schultz-lecture-generic-machine-learning-inference-on-heterogenous-treatment-effects-in-randomized-experiments-with-an-application-to-immunization-in-india-1712.04802</loc><lastmod>2023-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fisher-schultz-lecture-generic-machine-learning-inference-on-heterogenous-treatment-effects-in-randomized-experiments-with-an-application-to-immunization-in-india-1712.04802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fisher-schultz-lecture-generic-machine-learning-inference-on-heterogenous-treatment-effects-in-randomized-experiments-with-an-application-to-immunization-in-india-1712.04802"/></url>
<url><loc>https://scifaro.com/en/abs/ballpark-crowdsourcing-the-wisdom-of-rough-group-comparisons-1712.04828</loc><lastmod>2017-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ballpark-crowdsourcing-the-wisdom-of-rough-group-comparisons-1712.04828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ballpark-crowdsourcing-the-wisdom-of-rough-group-comparisons-1712.04828"/></url>
<url><loc>https://scifaro.com/en/abs/quasi-oracle-estimation-of-heterogeneous-treatment-effects-1712.04912</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quasi-oracle-estimation-of-heterogeneous-treatment-effects-1712.04912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quasi-oracle-estimation-of-heterogeneous-treatment-effects-1712.04912"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-station-level-hourly-demands-in-a-large-scale-bike-sharing-network-a-graph-convolutional-neural-network-approach-1712.04997</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-station-level-hourly-demands-in-a-large-scale-bike-sharing-network-a-graph-convolutional-neural-network-approach-1712.04997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-station-level-hourly-demands-in-a-large-scale-bike-sharing-network-a-graph-convolutional-neural-network-approach-1712.04997"/></url>
<url><loc>https://scifaro.com/en/abs/deep-prior-1712.05016</loc><lastmod>2017-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-prior-1712.05016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-prior-1712.05016"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-particle-gradient-descent-for-infinite-ensembles-1712.05438</loc><lastmod>2017-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-particle-gradient-descent-for-infinite-ensembles-1712.05438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-particle-gradient-descent-for-infinite-ensembles-1712.05438"/></url>
<url><loc>https://scifaro.com/en/abs/safe-policy-search-with-gaussian-process-models-1712.05556</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-policy-search-with-gaussian-process-models-1712.05556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-policy-search-with-gaussian-process-models-1712.05556"/></url>
<url><loc>https://scifaro.com/en/abs/catalyst-acceleration-for-first-order-convex-optimization-from-theory-to-practice-1712.05654</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/catalyst-acceleration-for-first-order-convex-optimization-from-theory-to-practice-1712.05654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/catalyst-acceleration-for-first-order-convex-optimization-from-theory-to-practice-1712.05654"/></url>
<url><loc>https://scifaro.com/en/abs/bt-nets-simplifying-deep-neural-networks-via-block-term-decomposition-1712.05689</loc><lastmod>2017-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bt-nets-simplifying-deep-neural-networks-via-block-term-decomposition-1712.05689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bt-nets-simplifying-deep-neural-networks-via-block-term-decomposition-1712.05689"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-career-progression-in-baseball-through-machine-learning-1712.05754</loc><lastmod>2017-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-career-progression-in-baseball-through-machine-learning-1712.05754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-career-progression-in-baseball-through-machine-learning-1712.05754"/></url>
<url><loc>https://scifaro.com/en/abs/taming-wild-high-dimensional-text-data-with-a-fuzzy-lash-1712.05997</loc><lastmod>2017-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taming-wild-high-dimensional-text-data-with-a-fuzzy-lash-1712.05997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taming-wild-high-dimensional-text-data-with-a-fuzzy-lash-1712.05997"/></url>
<url><loc>https://scifaro.com/en/abs/how-well-does-your-sampler-really-work-1712.06006</loc><lastmod>2017-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-well-does-your-sampler-really-work-1712.06006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-well-does-your-sampler-really-work-1712.06006"/></url>
<url><loc>https://scifaro.com/en/abs/a-spectral-approach-for-the-design-of-experiments-design-analysis-and-algorithms-1712.06028</loc><lastmod>2017-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-spectral-approach-for-the-design-of-experiments-design-analysis-and-algorithms-1712.06028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-spectral-approach-for-the-design-of-experiments-design-analysis-and-algorithms-1712.06028"/></url>
<url><loc>https://scifaro.com/en/abs/hypothesis-testing-for-high-dimensional-multinomials-a-selective-review-1712.06120</loc><lastmod>2017-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypothesis-testing-for-high-dimensional-multinomials-a-selective-review-1712.06120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypothesis-testing-for-high-dimensional-multinomials-a-selective-review-1712.06120"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-boltzmann-machines-for-second-order-moments-and-generalized-gaussian-distributions-1712.06132</loc><lastmod>2017-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-boltzmann-machines-for-second-order-moments-and-generalized-gaussian-distributions-1712.06132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-boltzmann-machines-for-second-order-moments-and-generalized-gaussian-distributions-1712.06132"/></url>
<url><loc>https://scifaro.com/en/abs/structured-optimal-transport-1712.06199</loc><lastmod>2017-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-optimal-transport-1712.06199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-optimal-transport-1712.06199"/></url>
<url><loc>https://scifaro.com/en/abs/path-based-spectral-clustering-guarantees-robustness-to-outliers-and-fast-algorithms-1712.06206</loc><lastmod>2019-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/path-based-spectral-clustering-guarantees-robustness-to-outliers-and-fast-algorithms-1712.06206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/path-based-spectral-clustering-guarantees-robustness-to-outliers-and-fast-algorithms-1712.06206"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-individual-physiologically-acceptable-states-for-discharge-from-a-pediatric-intensive-care-unit-1712.06214</loc><lastmod>2017-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-individual-physiologically-acceptable-states-for-discharge-from-a-pediatric-intensive-care-unit-1712.06214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-individual-physiologically-acceptable-states-for-discharge-from-a-pediatric-intensive-care-unit-1712.06214"/></url>
<url><loc>https://scifaro.com/en/abs/panoramic-robust-pca-for-foreground-background-separation-on-noisy-free-motion-camera-video-1712.06229</loc><lastmod>2019-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/panoramic-robust-pca-for-foreground-background-separation-on-noisy-free-motion-camera-video-1712.06229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/panoramic-robust-pca-for-foreground-background-separation-on-noisy-free-motion-camera-video-1712.06229"/></url>
<url><loc>https://scifaro.com/en/abs/misspecified-nonconvex-statistical-optimization-for-phase-retrieval-1712.06245</loc><lastmod>2017-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/misspecified-nonconvex-statistical-optimization-for-phase-retrieval-1712.06245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/misspecified-nonconvex-statistical-optimization-for-phase-retrieval-1712.06245"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-generative-model-of-functional-mri-images-for-psychiatric-disorder-diagnosis-1712.06260</loc><lastmod>2019-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-generative-model-of-functional-mri-images-for-psychiatric-disorder-diagnosis-1712.06260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-generative-model-of-functional-mri-images-for-psychiatric-disorder-diagnosis-1712.06260"/></url>
<url><loc>https://scifaro.com/en/abs/a-bridge-between-hyperparameter-optimization-and-learning-to-learn-1712.06283</loc><lastmod>2019-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bridge-between-hyperparameter-optimization-and-learning-to-learn-1712.06283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bridge-between-hyperparameter-optimization-and-learning-to-learn-1712.06283"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-inference-for-auto-encoding-variational-bayes-1712.06536</loc><lastmod>2017-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-inference-for-auto-encoding-variational-bayes-1712.06536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-inference-for-auto-encoding-variational-bayes-1712.06536"/></url>
<url><loc>https://scifaro.com/en/abs/accurate-inference-for-adaptive-linear-models-1712.06695</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accurate-inference-for-adaptive-linear-models-1712.06695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accurate-inference-for-adaptive-linear-models-1712.06695"/></url>
<url><loc>https://scifaro.com/en/abs/multilingual-topic-models-1712.06704</loc><lastmod>2017-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilingual-topic-models-1712.06704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilingual-topic-models-1712.06704"/></url>
<url><loc>https://scifaro.com/en/abs/deformable-classifiers-1712.06715</loc><lastmod>2017-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deformable-classifiers-1712.06715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deformable-classifiers-1712.06715"/></url>
<url><loc>https://scifaro.com/en/abs/development-and-evaluation-of-a-deep-learning-model-for-protein-ligand-binding-affinity-prediction-1712.07042</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/development-and-evaluation-of-a-deep-learning-model-for-protein-ligand-binding-affinity-prediction-1712.07042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/development-and-evaluation-of-a-deep-learning-model-for-protein-ligand-binding-affinity-prediction-1712.07042"/></url>
<url><loc>https://scifaro.com/en/abs/on-data-dependent-random-features-for-improved-generalization-in-supervised-learning-1712.07102</loc><lastmod>2017-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-data-dependent-random-features-for-improved-generalization-in-supervised-learning-1712.07102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-data-dependent-random-features-for-improved-generalization-in-supervised-learning-1712.07102"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-high-dimensional-structure-via-axis-aligned-decomposition-of-linear-projections-1712.07106</loc><lastmod>2017-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-high-dimensional-structure-via-axis-aligned-decomposition-of-linear-projections-1712.07106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-high-dimensional-structure-via-axis-aligned-decomposition-of-linear-projections-1712.07106"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-structured-prediction-for-multivariate-measures-1712.07374</loc><lastmod>2017-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-structured-prediction-for-multivariate-measures-1712.07374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-structured-prediction-for-multivariate-measures-1712.07374"/></url>
<url><loc>https://scifaro.com/en/abs/adine-an-adaptive-momentum-method-for-stochastic-gradient-descent-1712.07424</loc><lastmod>2017-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adine-an-adaptive-momentum-method-for-stochastic-gradient-descent-1712.07424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adine-an-adaptive-momentum-method-for-stochastic-gradient-descent-1712.07424"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-adversarial-domain-adaptation-for-continually-changing-environments-1712.07436</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-adversarial-domain-adaptation-for-continually-changing-environments-1712.07436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-adversarial-domain-adaptation-for-continually-changing-environments-1712.07436"/></url>
<url><loc>https://scifaro.com/en/abs/fast-knn-mode-seeking-clustering-applied-to-active-learning-1712.07454</loc><lastmod>2017-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-knn-mode-seeking-clustering-applied-to-active-learning-1712.07454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-knn-mode-seeking-clustering-applied-to-active-learning-1712.07454"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-inference-for-the-population-landscape-via-moment-adjusted-stochastic-gradients-1712.07519</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-inference-for-the-population-landscape-via-moment-adjusted-stochastic-gradients-1712.07519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-inference-for-the-population-landscape-via-moment-adjusted-stochastic-gradients-1712.07519"/></url>
<url><loc>https://scifaro.com/en/abs/riemann-theta-boltzmann-machine-1712.07581</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/riemann-theta-boltzmann-machine-1712.07581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/riemann-theta-boltzmann-machine-1712.07581"/></url>
<url><loc>https://scifaro.com/en/abs/deep-metric-learning-for-multi-labelled-radiographs-1712.07682</loc><lastmod>2017-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-metric-learning-for-multi-labelled-radiographs-1712.07682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-metric-learning-for-multi-labelled-radiographs-1712.07682"/></url>
<url><loc>https://scifaro.com/en/abs/geometrical-insights-for-implicit-generative-modeling-1712.07822</loc><lastmod>2019-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometrical-insights-for-implicit-generative-modeling-1712.07822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometrical-insights-for-implicit-generative-modeling-1712.07822"/></url>
<url><loc>https://scifaro.com/en/abs/non-convex-optimization-for-machine-learning-1712.07897</loc><lastmod>2017-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-convex-optimization-for-machine-learning-1712.07897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-convex-optimization-for-machine-learning-1712.07897"/></url>
<url><loc>https://scifaro.com/en/abs/profit-driven-decision-trees-for-churn-prediction-1712.08101</loc><lastmod>2017-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/profit-driven-decision-trees-for-churn-prediction-1712.08101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/profit-driven-decision-trees-for-churn-prediction-1712.08101"/></url>
<url><loc>https://scifaro.com/en/abs/truncated-variational-sampling-for-black-box-optimization-of-generative-models-1712.08104</loc><lastmod>2018-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/truncated-variational-sampling-for-black-box-optimization-of-generative-models-1712.08104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/truncated-variational-sampling-for-black-box-optimization-of-generative-models-1712.08104"/></url>
<url><loc>https://scifaro.com/en/abs/fair-forests-regularized-tree-induction-to-minimize-model-bias-1712.08197</loc><lastmod>2017-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-forests-regularized-tree-induction-to-minimize-model-bias-1712.08197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-forests-regularized-tree-induction-to-minimize-model-bias-1712.08197"/></url>
<url><loc>https://scifaro.com/en/abs/how-well-can-generative-adversarial-networks-learn-densities-a-nonparametric-view-1712.08244</loc><lastmod>2018-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-well-can-generative-adversarial-networks-learn-densities-a-nonparametric-view-1712.08244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-well-can-generative-adversarial-networks-learn-densities-a-nonparametric-view-1712.08244"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-classification-for-comparison-based-interpretability-in-machine-learning-1712.08443</loc><lastmod>2017-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-classification-for-comparison-based-interpretability-in-machine-learning-1712.08443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-classification-for-comparison-based-interpretability-in-machine-learning-1712.08443"/></url>
<url><loc>https://scifaro.com/en/abs/true-asymptotic-natural-gradient-optimization-1712.08449</loc><lastmod>2017-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/true-asymptotic-natural-gradient-optimization-1712.08449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/true-asymptotic-natural-gradient-optimization-1712.08449"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-stochastic-dual-coordinate-ascent-for-conditional-random-fields-1712.08577</loc><lastmod>2018-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-stochastic-dual-coordinate-ascent-for-conditional-random-fields-1712.08577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-stochastic-dual-coordinate-ascent-for-conditional-random-fields-1712.08577"/></url>
<url><loc>https://scifaro.com/en/abs/on-estimation-of-conditional-modes-using-multiple-quantile-regressions-1712.08754</loc><lastmod>2017-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-estimation-of-conditional-modes-using-multiple-quantile-regressions-1712.08754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-estimation-of-conditional-modes-using-multiple-quantile-regressions-1712.08754"/></url>
<url><loc>https://scifaro.com/en/abs/merging-k-means-with-hierarchical-clustering-for-identifying-general-shaped-groups-1712.08786</loc><lastmod>2017-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/merging-k-means-with-hierarchical-clustering-for-identifying-general-shaped-groups-1712.08786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/merging-k-means-with-hierarchical-clustering-for-identifying-general-shaped-groups-1712.08786"/></url>
<url><loc>https://scifaro.com/en/abs/on-connecting-stochastic-gradient-mcmc-and-differential-privacy-1712.09097</loc><lastmod>2017-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-connecting-stochastic-gradient-mcmc-and-differential-privacy-1712.09097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-connecting-stochastic-gradient-mcmc-and-differential-privacy-1712.09097"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-prototype-selection-by-genetic-algorithms-and-hashing-1712.09277</loc><lastmod>2017-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-prototype-selection-by-genetic-algorithms-and-hashing-1712.09277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-prototype-selection-by-genetic-algorithms-and-hashing-1712.09277"/></url>
<url><loc>https://scifaro.com/en/abs/entropy-sgd-optimizes-the-prior-of-a-pac-bayes-bound-generalization-properties-of-entropy-sgd-and-data-dependent-priors-1712.09376</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropy-sgd-optimizes-the-prior-of-a-pac-bayes-bound-generalization-properties-of-entropy-sgd-and-data-dependent-priors-1712.09376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropy-sgd-optimizes-the-prior-of-a-pac-bayes-bound-generalization-properties-of-entropy-sgd-and-data-dependent-priors-1712.09376"/></url>
<url><loc>https://scifaro.com/en/abs/robust-loss-functions-under-label-noise-for-deep-neural-networks-1712.09482</loc><lastmod>2017-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-loss-functions-under-label-noise-for-deep-neural-networks-1712.09482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-loss-functions-under-label-noise-for-deep-neural-networks-1712.09482"/></url>
<url><loc>https://scifaro.com/en/abs/a-composite-quantile-fourier-neural-network-for-multi-step-probabilistic-forecasting-of-nonstationary-univariate-time-series-1712.09641</loc><lastmod>2020-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-composite-quantile-fourier-neural-network-for-multi-step-probabilistic-forecasting-of-nonstationary-univariate-time-series-1712.09641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-composite-quantile-fourier-neural-network-for-multi-step-probabilistic-forecasting-of-nonstationary-univariate-time-series-1712.09641"/></url>
<url><loc>https://scifaro.com/en/abs/the-information-bottleneck-and-geometric-clustering-1712.09657</loc><lastmod>2020-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-information-bottleneck-and-geometric-clustering-1712.09657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-information-bottleneck-and-geometric-clustering-1712.09657"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-augmented-inverse-problems-for-pdes-1712.09685</loc><lastmod>2018-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-augmented-inverse-problems-for-pdes-1712.09685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-augmented-inverse-problems-for-pdes-1712.09685"/></url>
<url><loc>https://scifaro.com/en/abs/extrapolating-expected-accuracies-for-large-multi-class-problems-1712.09713</loc><lastmod>2017-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extrapolating-expected-accuracies-for-large-multi-class-problems-1712.09713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extrapolating-expected-accuracies-for-large-multi-class-problems-1712.09713"/></url>
<url><loc>https://scifaro.com/en/abs/random-feature-based-online-multi-kernel-learning-in-environments-with-unknown-dynamics-1712.09983</loc><lastmod>2018-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-feature-based-online-multi-kernel-learning-in-environments-with-unknown-dynamics-1712.09983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-feature-based-online-multi-kernel-learning-in-environments-with-unknown-dynamics-1712.09983"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-and-inference-on-heterogeneous-treatment-effects-in-high-dimensional-dynamic-panels-under-weak-dependence-1712.09988</loc><lastmod>2022-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-and-inference-on-heterogeneous-treatment-effects-in-high-dimensional-dynamic-panels-under-weak-dependence-1712.09988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-and-inference-on-heterogeneous-treatment-effects-in-high-dimensional-dynamic-panels-under-weak-dependence-1712.09988"/></url>
<url><loc>https://scifaro.com/en/abs/debiased-machine-learning-of-set-identified-linear-models-1712.10024</loc><lastmod>2022-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/debiased-machine-learning-of-set-identified-linear-models-1712.10024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/debiased-machine-learning-of-set-identified-linear-models-1712.10024"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-convolutional-neural-network-to-predict-airfoil-lift-coefficient-1712.10082</loc><lastmod>2018-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-convolutional-neural-network-to-predict-airfoil-lift-coefficient-1712.10082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-convolutional-neural-network-to-predict-airfoil-lift-coefficient-1712.10082"/></url>
<url><loc>https://scifaro.com/en/abs/learning-structural-weight-uncertainty-for-sequential-decision-making-1801.00085</loc><lastmod>2018-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-structural-weight-uncertainty-for-sequential-decision-making-1801.00085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-structural-weight-uncertainty-for-sequential-decision-making-1801.00085"/></url>
<url><loc>https://scifaro.com/en/abs/learning-relevant-features-of-data-with-multi-scale-tensor-networks-1801.00315</loc><lastmod>2018-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-relevant-features-of-data-with-multi-scale-tensor-networks-1801.00315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-relevant-features-of-data-with-multi-scale-tensor-networks-1801.00315"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-and-inference-of-treatment-effects-with-l-2-boosting-in-high-dimensional-settings-1801.00364</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-and-inference-of-treatment-effects-with-l-2-boosting-in-high-dimensional-settings-1801.00364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-and-inference-of-treatment-effects-with-l-2-boosting-in-high-dimensional-settings-1801.00364"/></url>
<url><loc>https://scifaro.com/en/abs/macro-a-meta-algorithm-for-conditional-risk-minimization-1801.00507</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/macro-a-meta-algorithm-for-conditional-risk-minimization-1801.00507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/macro-a-meta-algorithm-for-conditional-risk-minimization-1801.00507"/></url>
<url><loc>https://scifaro.com/en/abs/transferable-neural-networks-for-enhanced-sampling-of-protein-dynamics-1801.00636</loc><lastmod>2018-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transferable-neural-networks-for-enhanced-sampling-of-protein-dynamics-1801.00636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transferable-neural-networks-for-enhanced-sampling-of-protein-dynamics-1801.00636"/></url>
<url><loc>https://scifaro.com/en/abs/random-euler-complex-valued-nonlinear-filters-1801.00668</loc><lastmod>2018-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-euler-complex-valued-nonlinear-filters-1801.00668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-euler-complex-valued-nonlinear-filters-1801.00668"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-improved-fuzzy-support-vector-machine-based-stock-price-trend-forecast-model-1801.00681</loc><lastmod>2018-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-improved-fuzzy-support-vector-machine-based-stock-price-trend-forecast-model-1801.00681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-improved-fuzzy-support-vector-machine-based-stock-price-trend-forecast-model-1801.00681"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-supervised-learning-1801.00753</loc><lastmod>2019-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-supervised-learning-1801.00753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-supervised-learning-1801.00753"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-bayesian-transfer-learning-1801.00857</loc><lastmod>2018-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-bayesian-transfer-learning-1801.00857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-bayesian-transfer-learning-1801.00857"/></url>
<url><loc>https://scifaro.com/en/abs/intrinsic-gaussian-processes-on-complex-constrained-domains-1801.01061</loc><lastmod>2018-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrinsic-gaussian-processes-on-complex-constrained-domains-1801.01061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrinsic-gaussian-processes-on-complex-constrained-domains-1801.01061"/></url>
<url><loc>https://scifaro.com/en/abs/demystifying-mmd-gans-1801.01401</loc><lastmod>2021-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demystifying-mmd-gans-1801.01401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demystifying-mmd-gans-1801.01401"/></url>
<url><loc>https://scifaro.com/en/abs/phoenics-a-universal-deep-bayesian-optimizer-1801.01469</loc><lastmod>2018-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phoenics-a-universal-deep-bayesian-optimizer-1801.01469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phoenics-a-universal-deep-bayesian-optimizer-1801.01469"/></url>
<url><loc>https://scifaro.com/en/abs/spectralnet-spectral-clustering-using-deep-neural-networks-1801.01587</loc><lastmod>2024-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectralnet-spectral-clustering-using-deep-neural-networks-1801.01587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectralnet-spectral-clustering-using-deep-neural-networks-1801.01587"/></url>
<url><loc>https://scifaro.com/en/abs/gauged-mini-bucket-elimination-for-approximate-inference-1801.01649</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gauged-mini-bucket-elimination-for-approximate-inference-1801.01649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gauged-mini-bucket-elimination-for-approximate-inference-1801.01649"/></url>
<url><loc>https://scifaro.com/en/abs/closed-form-marginal-likelihood-in-gamma-poisson-matrix-factorization-1801.01799</loc><lastmod>2018-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/closed-form-marginal-likelihood-in-gamma-poisson-matrix-factorization-1801.01799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/closed-form-marginal-likelihood-in-gamma-poisson-matrix-factorization-1801.01799"/></url>
<url><loc>https://scifaro.com/en/abs/generating-neural-networks-with-neural-networks-1801.01952</loc><lastmod>2018-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-neural-networks-with-neural-networks-1801.01952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-neural-networks-with-neural-networks-1801.01952"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-perturbation-intensity-achieving-chosen-intra-technique-transferability-level-for-logistic-regression-1801.01953</loc><lastmod>2018-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-perturbation-intensity-achieving-chosen-intra-technique-transferability-level-for-logistic-regression-1801.01953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-perturbation-intensity-achieving-chosen-intra-technique-transferability-level-for-logistic-regression-1801.01953"/></url>
<url><loc>https://scifaro.com/en/abs/compressive-sensing-adaptation-for-polynomial-chaos-expansions-1801.01961</loc><lastmod>2024-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressive-sensing-adaptation-for-polynomial-chaos-expansions-1801.01961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressive-sensing-adaptation-for-polynomial-chaos-expansions-1801.01961"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-the-inception-score-1801.01973</loc><lastmod>2018-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-the-inception-score-1801.01973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-the-inception-score-1801.01973"/></url>
<url><loc>https://scifaro.com/en/abs/competitive-multi-agent-inverse-reinforcement-learning-with-sub-optimal-demonstrations-1801.02124</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/competitive-multi-agent-inverse-reinforcement-learning-with-sub-optimal-demonstrations-1801.02124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/competitive-multi-agent-inverse-reinforcement-learning-with-sub-optimal-demonstrations-1801.02124"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-layer-enhancing-the-convergence-of-adversarial-training-for-generative-models-1801.02227</loc><lastmod>2018-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-layer-enhancing-the-convergence-of-adversarial-training-for-generative-models-1801.02227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-layer-enhancing-the-convergence-of-adversarial-training-for-generative-models-1801.02227"/></url>
<url><loc>https://scifaro.com/en/abs/denoising-dictionary-learning-against-adversarial-perturbations-1801.02257</loc><lastmod>2018-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/denoising-dictionary-learning-against-adversarial-perturbations-1801.02257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/denoising-dictionary-learning-against-adversarial-perturbations-1801.02257"/></url>
<url><loc>https://scifaro.com/en/abs/learning-tree-based-deep-model-for-recommender-systems-1801.02294</loc><lastmod>2018-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-tree-based-deep-model-for-recommender-systems-1801.02294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-tree-based-deep-model-for-recommender-systems-1801.02294"/></url>
<url><loc>https://scifaro.com/en/abs/log-concave-sampling-metropolis-hastings-algorithms-are-fast-1801.02309</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/log-concave-sampling-metropolis-hastings-algorithms-are-fast-1801.02309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/log-concave-sampling-metropolis-hastings-algorithms-are-fast-1801.02309"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-sepsis-progression-using-hidden-markov-models-1801.02736</loc><lastmod>2018-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-sepsis-progression-using-hidden-markov-models-1801.02736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-sepsis-progression-using-hidden-markov-models-1801.02736"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-high-resolution-forecasting-of-sparse-spatiotemporal-events-with-kernel-methods-a-winning-solution-to-the-nij-real-time-crime-forecasting-challenge-1801.02858</loc><lastmod>2019-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-high-resolution-forecasting-of-sparse-spatiotemporal-events-with-kernel-methods-a-winning-solution-to-the-nij-real-time-crime-forecasting-challenge-1801.02858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-high-resolution-forecasting-of-sparse-spatiotemporal-events-with-kernel-methods-a-winning-solution-to-the-nij-real-time-crime-forecasting-challenge-1801.02858"/></url>
<url><loc>https://scifaro.com/en/abs/online-cluster-validity-indices-for-streaming-data-1801.02937</loc><lastmod>2018-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-cluster-validity-indices-for-streaming-data-1801.02937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-cluster-validity-indices-for-streaming-data-1801.02937"/></url>
<url><loc>https://scifaro.com/en/abs/deep-gaussian-processes-with-decoupled-inducing-inputs-1801.02939</loc><lastmod>2018-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-gaussian-processes-with-decoupled-inducing-inputs-1801.02939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-gaussian-processes-with-decoupled-inducing-inputs-1801.02939"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-k-means-clustering-algorithm-for-massive-data-1801.02949</loc><lastmod>2018-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-k-means-clustering-algorithm-for-massive-data-1801.02949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-k-means-clustering-algorithm-for-massive-data-1801.02949"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-the-effect-of-advertising-expenditures-upon-sales-a-bayesian-structural-time-series-model-1801.03050</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-the-effect-of-advertising-expenditures-upon-sales-a-bayesian-structural-time-series-model-1801.03050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-the-effect-of-advertising-expenditures-upon-sales-a-bayesian-structural-time-series-model-1801.03050"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-heterogeneous-entities-using-artificial-neural-networks-of-trainable-weighted-structural-components-and-machine-learned-activation-functions-1801.03143</loc><lastmod>2018-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-heterogeneous-entities-using-artificial-neural-networks-of-trainable-weighted-structural-components-and-machine-learned-activation-functions-1801.03143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-heterogeneous-entities-using-artificial-neural-networks-of-trainable-weighted-structural-components-and-machine-learned-activation-functions-1801.03143"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-bayesian-structural-time-series-model-1801.03222</loc><lastmod>2018-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-bayesian-structural-time-series-model-1801.03222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-bayesian-structural-time-series-model-1801.03222"/></url>
<url><loc>https://scifaro.com/en/abs/expected-policy-gradients-for-reinforcement-learning-1801.03326</loc><lastmod>2020-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expected-policy-gradients-for-reinforcement-learning-1801.03326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expected-policy-gradients-for-reinforcement-learning-1801.03326"/></url>
<url><loc>https://scifaro.com/en/abs/weakly-supervised-one-shot-detection-with-attention-similarity-networks-1801.03329</loc><lastmod>2018-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weakly-supervised-one-shot-detection-with-attention-similarity-networks-1801.03329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weakly-supervised-one-shot-detection-with-attention-similarity-networks-1801.03329"/></url>
<url><loc>https://scifaro.com/en/abs/generative-models-for-stochastic-processes-using-convolutional-neural-networks-1801.03523</loc><lastmod>2018-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-models-for-stochastic-processes-using-convolutional-neural-networks-1801.03523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-models-for-stochastic-processes-using-convolutional-neural-networks-1801.03523"/></url>
<url><loc>https://scifaro.com/en/abs/which-neural-net-architectures-give-rise-to-exploding-and-vanishing-gradients-1801.03744</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/which-neural-net-architectures-give-rise-to-exploding-and-vanishing-gradients-1801.03744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/which-neural-net-architectures-give-rise-to-exploding-and-vanishing-gradients-1801.03744"/></url>
<url><loc>https://scifaro.com/en/abs/noisy-expectation-maximization-applications-and-generalizations-1801.04053</loc><lastmod>2018-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisy-expectation-maximization-applications-and-generalizations-1801.04053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisy-expectation-maximization-applications-and-generalizations-1801.04053"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-stochastic-variational-inference-1801.04289</loc><lastmod>2018-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-stochastic-variational-inference-1801.04289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-stochastic-variational-inference-1801.04289"/></url>
<url><loc>https://scifaro.com/en/abs/sparsity-based-defense-against-adversarial-attacks-on-linear-classifiers-1801.04695</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsity-based-defense-against-adversarial-attacks-on-linear-classifiers-1801.04695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsity-based-defense-against-adversarial-attacks-on-linear-classifiers-1801.04695"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-learning-from-medical-plain-text-with-convolutional-residual-models-1801.05062</loc><lastmod>2018-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-learning-from-medical-plain-text-with-convolutional-residual-models-1801.05062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-learning-from-medical-plain-text-with-convolutional-residual-models-1801.05062"/></url>
<url><loc>https://scifaro.com/en/abs/image-denoising-and-restoration-with-cnn-lstm-encoder-decoder-with-direct-attention-1801.05141</loc><lastmod>2018-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/image-denoising-and-restoration-with-cnn-lstm-encoder-decoder-with-direct-attention-1801.05141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/image-denoising-and-restoration-with-cnn-lstm-encoder-decoder-with-direct-attention-1801.05141"/></url>
<url><loc>https://scifaro.com/en/abs/deep-canonically-correlated-lstms-1801.05407</loc><lastmod>2018-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-canonically-correlated-lstms-1801.05407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-canonically-correlated-lstms-1801.05407"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-networks-for-survival-analysis-based-on-a-multi-task-framework-1801.05512</loc><lastmod>2018-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-networks-for-survival-analysis-based-on-a-multi-task-framework-1801.05512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-networks-for-survival-analysis-based-on-a-multi-task-framework-1801.05512"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-based-meta-learning-with-learned-layerwise-metric-and-subspace-1801.05558</loc><lastmod>2018-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-based-meta-learning-with-learned-layerwise-metric-and-subspace-1801.05558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-based-meta-learning-with-learned-layerwise-metric-and-subspace-1801.05558"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-data-with-continuous-labels-through-oriented-recursive-partitions-1801.05772</loc><lastmod>2018-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-data-with-continuous-labels-through-oriented-recursive-partitions-1801.05772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-data-with-continuous-labels-through-oriented-recursive-partitions-1801.05772"/></url>
<url><loc>https://scifaro.com/en/abs/graph-based-analysis-for-gene-segment-organization-in-a-scrambled-genome-1801.05922</loc><lastmod>2018-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-based-analysis-for-gene-segment-organization-in-a-scrambled-genome-1801.05922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-based-analysis-for-gene-segment-organization-in-a-scrambled-genome-1801.05922"/></url>
<url><loc>https://scifaro.com/en/abs/upgrading-from-gaussian-processes-to-student-s-t-processes-1801.06147</loc><lastmod>2018-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/upgrading-from-gaussian-processes-to-student-s-t-processes-1801.06147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/upgrading-from-gaussian-processes-to-student-s-t-processes-1801.06147"/></url>
<url><loc>https://scifaro.com/en/abs/when-does-stochastic-gradient-algorithm-work-well-1801.06159</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-does-stochastic-gradient-algorithm-work-well-1801.06159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-does-stochastic-gradient-algorithm-work-well-1801.06159"/></url>
<url><loc>https://scifaro.com/en/abs/a-graph-embedded-deep-feedforward-network-for-disease-outcome-classification-and-feature-selection-using-gene-expression-data-1801.06202</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-graph-embedded-deep-feedforward-network-for-disease-outcome-classification-and-feature-selection-using-gene-expression-data-1801.06202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-graph-embedded-deep-feedforward-network-for-disease-outcome-classification-and-feature-selection-using-gene-expression-data-1801.06202"/></url>
<url><loc>https://scifaro.com/en/abs/overpruning-in-variational-bayesian-neural-networks-1801.06230</loc><lastmod>2018-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overpruning-in-variational-bayesian-neural-networks-1801.06230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overpruning-in-variational-bayesian-neural-networks-1801.06230"/></url>
<url><loc>https://scifaro.com/en/abs/what-does-a-textcnn-learn-1801.06287</loc><lastmod>2018-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-does-a-textcnn-learn-1801.06287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-does-a-textcnn-learn-1801.06287"/></url>
<url><loc>https://scifaro.com/en/abs/composite-functional-gradient-learning-of-generative-adversarial-models-1801.06309</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/composite-functional-gradient-learning-of-generative-adversarial-models-1801.06309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/composite-functional-gradient-learning-of-generative-adversarial-models-1801.06309"/></url>
<url><loc>https://scifaro.com/en/abs/introducing-request-an-open-platform-for-reproducible-and-quality-efficient-systems-ml-tournaments-1801.06378</loc><lastmod>2018-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introducing-request-an-open-platform-for-reproducible-and-quality-efficient-systems-ml-tournaments-1801.06378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introducing-request-an-open-platform-for-reproducible-and-quality-efficient-systems-ml-tournaments-1801.06378"/></url>
<url><loc>https://scifaro.com/en/abs/robust-kronecker-component-analysis-1801.06432</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-kronecker-component-analysis-1801.06432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-kronecker-component-analysis-1801.06432"/></url>
<url><loc>https://scifaro.com/en/abs/global-overview-of-imitation-learning-1801.06503</loc><lastmod>2018-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-overview-of-imitation-learning-1801.06503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-overview-of-imitation-learning-1801.06503"/></url>
<url><loc>https://scifaro.com/en/abs/deep-hidden-physics-models-deep-learning-of-nonlinear-partial-differential-equations-1801.06637</loc><lastmod>2018-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-hidden-physics-models-deep-learning-of-nonlinear-partial-differential-equations-1801.06637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-hidden-physics-models-deep-learning-of-nonlinear-partial-differential-equations-1801.06637"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-rates-for-spectral-algorithms-with-least-squares-regression-over-hilbert-spaces-1801.06720</loc><lastmod>2022-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-rates-for-spectral-algorithms-with-least-squares-regression-over-hilbert-spaces-1801.06720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-rates-for-spectral-algorithms-with-least-squares-regression-over-hilbert-spaces-1801.06720"/></url>
<url><loc>https://scifaro.com/en/abs/preferential-attachment-graphs-with-planted-communities-1801.06816</loc><lastmod>2018-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preferential-attachment-graphs-with-planted-communities-1801.06816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preferential-attachment-graphs-with-planted-communities-1801.06816"/></url>
<url><loc>https://scifaro.com/en/abs/community-recovery-in-a-preferential-attachment-graph-1801.06818</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/community-recovery-in-a-preferential-attachment-graph-1801.06818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/community-recovery-in-a-preferential-attachment-graph-1801.06818"/></url>
<url><loc>https://scifaro.com/en/abs/offline-a-b-testing-for-recommender-systems-1801.07030</loc><lastmod>2018-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-a-b-testing-for-recommender-systems-1801.07030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-a-b-testing-for-recommender-systems-1801.07030"/></url>
<url><loc>https://scifaro.com/en/abs/news-based-forecasts-of-macroeconomic-indicators-a-semantic-path-model-for-interpretable-predictions-1801.07047</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/news-based-forecasts-of-macroeconomic-indicators-a-semantic-path-model-for-interpretable-predictions-1801.07047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/news-based-forecasts-of-macroeconomic-indicators-a-semantic-path-model-for-interpretable-predictions-1801.07047"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-convergence-for-distributed-learning-with-stochastic-gradient-methods-and-spectral-algorithms-1801.07226</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-convergence-for-distributed-learning-with-stochastic-gradient-methods-and-spectral-algorithms-1801.07226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-convergence-for-distributed-learning-with-stochastic-gradient-methods-and-spectral-algorithms-1801.07226"/></url>
<url><loc>https://scifaro.com/en/abs/the-hybrid-bootstrap-a-drop-in-replacement-for-dropout-1801.07316</loc><lastmod>2018-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-hybrid-bootstrap-a-drop-in-replacement-for-dropout-1801.07316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-hybrid-bootstrap-a-drop-in-replacement-for-dropout-1801.07316"/></url>
<url><loc>https://scifaro.com/en/abs/non-parametric-sparse-additive-auto-regressive-network-models-1801.07644</loc><lastmod>2018-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-parametric-sparse-additive-auto-regressive-network-models-1801.07644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-parametric-sparse-additive-auto-regressive-network-models-1801.07644"/></url>
<url><loc>https://scifaro.com/en/abs/maskgan-better-text-generation-via-filling-in-the-1801.07736</loc><lastmod>2018-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maskgan-better-text-generation-via-filling-in-the-1801.07736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maskgan-better-text-generation-via-filling-in-the-1801.07736"/></url>
<url><loc>https://scifaro.com/en/abs/a-hilbert-space-of-stationary-ergodic-processes-1801.08256</loc><lastmod>2018-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hilbert-space-of-stationary-ergodic-processes-1801.08256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hilbert-space-of-stationary-ergodic-processes-1801.08256"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-hawkes-processes-online-estimation-and-generalization-bounds-1801.08273</loc><lastmod>2018-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-hawkes-processes-online-estimation-and-generalization-bounds-1801.08273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-hawkes-processes-online-estimation-and-generalization-bounds-1801.08273"/></url>
<url><loc>https://scifaro.com/en/abs/dkn-deep-knowledge-aware-network-for-news-recommendation-1801.08284</loc><lastmod>2018-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dkn-deep-knowledge-aware-network-for-news-recommendation-1801.08284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dkn-deep-knowledge-aware-network-for-news-recommendation-1801.08284"/></url>
<url><loc>https://scifaro.com/en/abs/information-gain-ratio-correction-improving-prediction-with-more-balanced-decision-tree-splits-1801.08310</loc><lastmod>2018-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-gain-ratio-correction-improving-prediction-with-more-balanced-decision-tree-splits-1801.08310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-gain-ratio-correction-improving-prediction-with-more-balanced-decision-tree-splits-1801.08310"/></url>
<url><loc>https://scifaro.com/en/abs/a-distributed-framework-for-the-construction-of-transport-maps-1801.08454</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distributed-framework-for-the-construction-of-transport-maps-1801.08454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distributed-framework-for-the-construction-of-transport-maps-1801.08454"/></url>
<url><loc>https://scifaro.com/en/abs/development-of-ica-and-iva-algorithms-with-application-to-medical-image-analysis-1801.08600</loc><lastmod>2018-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/development-of-ica-and-iva-algorithms-with-application-to-medical-image-analysis-1801.08600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/development-of-ica-and-iva-algorithms-with-application-to-medical-image-analysis-1801.08600"/></url>
<url><loc>https://scifaro.com/en/abs/considerations-when-learning-additive-explanations-for-black-box-models-1801.08640</loc><lastmod>2023-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/considerations-when-learning-additive-explanations-for-black-box-models-1801.08640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/considerations-when-learning-additive-explanations-for-black-box-models-1801.08640"/></url>
<url><loc>https://scifaro.com/en/abs/pdnet-semantic-segmentation-integrated-with-a-primal-dual-network-for-document-binarization-1801.08694</loc><lastmod>2018-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pdnet-semantic-segmentation-integrated-with-a-primal-dual-network-for-document-binarization-1801.08694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pdnet-semantic-segmentation-integrated-with-a-primal-dual-network-for-document-binarization-1801.08694"/></url>
<url><loc>https://scifaro.com/en/abs/improving-bi-directional-generation-between-different-modalities-with-variational-autoencoders-1801.08702</loc><lastmod>2018-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-bi-directional-generation-between-different-modalities-with-variational-autoencoders-1801.08702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-bi-directional-generation-between-different-modalities-with-variational-autoencoders-1801.08702"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-sparsely-labeled-spatio-temporal-data-through-semi-supervised-adversarial-learning-1801.08712</loc><lastmod>2018-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-sparsely-labeled-spatio-temporal-data-through-semi-supervised-adversarial-learning-1801.08712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-sparsely-labeled-spatio-temporal-data-through-semi-supervised-adversarial-learning-1801.08712"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-normal-mixture-modeling-clustering-and-classification-with-the-rebmix-package-1801.08788</loc><lastmod>2018-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-normal-mixture-modeling-clustering-and-classification-with-the-rebmix-package-1801.08788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-normal-mixture-modeling-clustering-and-classification-with-the-rebmix-package-1801.08788"/></url>
<url><loc>https://scifaro.com/en/abs/correlated-components-analysis-extracting-reliable-dimensions-in-multivariate-data-1801.08881</loc><lastmod>2022-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlated-components-analysis-extracting-reliable-dimensions-in-multivariate-data-1801.08881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlated-components-analysis-extracting-reliable-dimensions-in-multivariate-data-1801.08881"/></url>
<url><loc>https://scifaro.com/en/abs/covariance-based-dissimilarity-measures-applied-to-clustering-wide-sense-stationary-ergodic-processes-1801.09049</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covariance-based-dissimilarity-measures-applied-to-clustering-wide-sense-stationary-ergodic-processes-1801.09049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covariance-based-dissimilarity-measures-applied-to-clustering-wide-sense-stationary-ergodic-processes-1801.09049"/></url>
<url><loc>https://scifaro.com/en/abs/solving-for-multi-class-using-orthogonal-coding-matrices-1801.09055</loc><lastmod>2023-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-for-multi-class-using-orthogonal-coding-matrices-1801.09055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-for-multi-class-using-orthogonal-coding-matrices-1801.09055"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-revisited-via-an-adaptive-online-learning-rate-1801.09136</loc><lastmod>2018-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-revisited-via-an-adaptive-online-learning-rate-1801.09136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-revisited-via-an-adaptive-online-learning-rate-1801.09136"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-scan-gibbs-sampler-for-large-scale-inference-problems-1801.09144</loc><lastmod>2018-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-scan-gibbs-sampler-for-large-scale-inference-problems-1801.09144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-scan-gibbs-sampler-for-large-scale-inference-problems-1801.09144"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-nonparametric-modeling-of-driver-behavior-using-hdp-split-merge-sampling-algorithm-1801.09150</loc><lastmod>2018-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-nonparametric-modeling-of-driver-behavior-using-hdp-split-merge-sampling-algorithm-1801.09150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-nonparametric-modeling-of-driver-behavior-using-hdp-split-merge-sampling-algorithm-1801.09150"/></url>
<url><loc>https://scifaro.com/en/abs/marketing-analytics-methods-practice-implementation-and-links-to-other-fields-1801.09185</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marketing-analytics-methods-practice-implementation-and-links-to-other-fields-1801.09185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marketing-analytics-methods-practice-implementation-and-links-to-other-fields-1801.09185"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-linearly-constrained-gaussian-processes-1801.09197</loc><lastmod>2019-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-linearly-constrained-gaussian-processes-1801.09197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-linearly-constrained-gaussian-processes-1801.09197"/></url>
<url><loc>https://scifaro.com/en/abs/hone-higher-order-network-embeddings-1801.09303</loc><lastmod>2018-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hone-higher-order-network-embeddings-1801.09303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hone-higher-order-network-embeddings-1801.09303"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-vanishing-ideal-via-data-knotting-1801.09367</loc><lastmod>2018-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-vanishing-ideal-via-data-knotting-1801.09367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-vanishing-ideal-via-data-knotting-1801.09367"/></url>
<url><loc>https://scifaro.com/en/abs/tournament-leave-pair-out-cross-validation-for-receiver-operating-characteristic-roc-analysis-1801.09386</loc><lastmod>2024-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tournament-leave-pair-out-cross-validation-for-receiver-operating-characteristic-roc-analysis-1801.09386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tournament-leave-pair-out-cross-validation-for-receiver-operating-characteristic-roc-analysis-1801.09386"/></url>
<url><loc>https://scifaro.com/en/abs/information-directed-sampling-and-bandits-with-heteroscedastic-noise-1801.09667</loc><lastmod>2018-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-directed-sampling-and-bandits-with-heteroscedastic-noise-1801.09667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-directed-sampling-and-bandits-with-heteroscedastic-noise-1801.09667"/></url>
<url><loc>https://scifaro.com/en/abs/transformation-autoregressive-networks-1801.09819</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformation-autoregressive-networks-1801.09819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformation-autoregressive-networks-1801.09819"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-of-classification-ability-of-spiking-neural-networks-1801.09827</loc><lastmod>2018-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-of-classification-ability-of-spiking-neural-networks-1801.09827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-of-classification-ability-of-spiking-neural-networks-1801.09827"/></url>
<url><loc>https://scifaro.com/en/abs/fast-power-system-security-analysis-with-guided-dropout-1801.09870</loc><lastmod>2018-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-power-system-security-analysis-with-guided-dropout-1801.09870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-power-system-security-analysis-with-guided-dropout-1801.09870"/></url>
<url><loc>https://scifaro.com/en/abs/error-estimates-for-spectral-convergence-of-the-graph-laplacian-on-random-geometric-graphs-towards-the-laplace-beltrami-operator-1801.10108</loc><lastmod>2018-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-estimates-for-spectral-convergence-of-the-graph-laplacian-on-random-geometric-graphs-towards-the-laplace-beltrami-operator-1801.10108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-estimates-for-spectral-convergence-of-the-graph-laplacian-on-random-geometric-graphs-towards-the-laplace-beltrami-operator-1801.10108"/></url>
<url><loc>https://scifaro.com/en/abs/links-a-high-dimensional-online-clustering-method-1801.10123</loc><lastmod>2018-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/links-a-high-dimensional-online-clustering-method-1801.10123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/links-a-high-dimensional-online-clustering-method-1801.10123"/></url>
<url><loc>https://scifaro.com/en/abs/deepdta-deep-drug-target-binding-affinity-prediction-1801.10193</loc><lastmod>2019-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepdta-deep-drug-target-binding-affinity-prediction-1801.10193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepdta-deep-drug-target-binding-affinity-prediction-1801.10193"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-methodology-on-distributed-representations-of-proteins-using-their-interacting-ligands-1801.10199</loc><lastmod>2018-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-methodology-on-distributed-representations-of-proteins-using-their-interacting-ligands-1801.10199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-methodology-on-distributed-representations-of-proteins-using-their-interacting-ligands-1801.10199"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-distillation-for-fast-gaussian-processes-prediction-1801.10273</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-distillation-for-fast-gaussian-processes-prediction-1801.10273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-distillation-for-fast-gaussian-processes-prediction-1801.10273"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-recurrent-state-space-models-1801.10395</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-recurrent-state-space-models-1801.10395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-recurrent-state-space-models-1801.10395"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-the-robustness-of-neural-networks-an-extreme-value-theory-approach-1801.10578</loc><lastmod>2018-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-the-robustness-of-neural-networks-an-extreme-value-theory-approach-1801.10578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-the-robustness-of-neural-networks-an-extreme-value-theory-approach-1801.10578"/></url>
<url><loc>https://scifaro.com/en/abs/distinguishing-cause-from-effect-using-quantiles-bivariate-quantile-causal-discovery-1801.10579</loc><lastmod>2020-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distinguishing-cause-from-effect-using-quantiles-bivariate-quantile-causal-discovery-1801.10579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distinguishing-cause-from-effect-using-quantiles-bivariate-quantile-causal-discovery-1801.10579"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-kernel-pca-and-the-nystr-om-method-1802.00043</loc><lastmod>2018-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-kernel-pca-and-the-nystr-om-method-1802.00043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-kernel-pca-and-the-nystr-om-method-1802.00043"/></url>
<url><loc>https://scifaro.com/en/abs/composite-gaussian-processes-scalable-computation-and-performance-analysis-1802.00045</loc><lastmod>2018-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/composite-gaussian-processes-scalable-computation-and-performance-analysis-1802.00045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/composite-gaussian-processes-scalable-computation-and-performance-analysis-1802.00045"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-non-decomposable-measures-with-deep-networks-1802.00086</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-non-decomposable-measures-with-deep-networks-1802.00086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-non-decomposable-measures-with-deep-networks-1802.00086"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-newton-methods-for-deep-neural-networks-1802.00130</loc><lastmod>2018-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-newton-methods-for-deep-neural-networks-1802.00130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-newton-methods-for-deep-neural-networks-1802.00130"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-active-learning-algorithm-for-logistic-regression-models-1802.00243</loc><lastmod>2018-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-active-learning-algorithm-for-logistic-regression-models-1802.00243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-active-learning-algorithm-for-logistic-regression-models-1802.00243"/></url>
<url><loc>https://scifaro.com/en/abs/linearized-binary-regression-1802.00430</loc><lastmod>2018-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linearized-binary-regression-1802.00430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linearized-binary-regression-1802.00430"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-l-evy-process-priors-for-spectral-kernel-learning-1802.00530</loc><lastmod>2018-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-l-evy-process-priors-for-spectral-kernel-learning-1802.00530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-l-evy-process-priors-for-spectral-kernel-learning-1802.00530"/></url>
<url><loc>https://scifaro.com/en/abs/an-instability-in-variational-inference-for-topic-models-1802.00568</loc><lastmod>2018-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-instability-in-variational-inference-for-topic-models-1802.00568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-instability-in-variational-inference-for-topic-models-1802.00568"/></url>
<url><loc>https://scifaro.com/en/abs/using-poisson-binomial-glms-to-reveal-voter-preferences-1802.01053</loc><lastmod>2018-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-poisson-binomial-glms-to-reveal-voter-preferences-1802.01053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-poisson-binomial-glms-to-reveal-voter-preferences-1802.01053"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-adversarially-learned-inference-1802.01071</loc><lastmod>2018-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-adversarially-learned-inference-1802.01071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-adversarially-learned-inference-1802.01071"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-computer-systems-and-ranking-criteria-for-automatic-melanoma-detection-in-dermoscopic-images-1802.01301</loc><lastmod>2018-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-computer-systems-and-ranking-criteria-for-automatic-melanoma-detection-in-dermoscopic-images-1802.01301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-computer-systems-and-ranking-criteria-for-automatic-melanoma-detection-in-dermoscopic-images-1802.01301"/></url>
<url><loc>https://scifaro.com/en/abs/information-assisted-dictionary-learning-for-fmri-data-analysis-1802.01334</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-assisted-dictionary-learning-for-fmri-data-analysis-1802.01334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-assisted-dictionary-learning-for-fmri-data-analysis-1802.01334"/></url>
<url><loc>https://scifaro.com/en/abs/to-understand-deep-learning-we-need-to-understand-kernel-learning-1802.01396</loc><lastmod>2018-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/to-understand-deep-learning-we-need-to-understand-kernel-learning-1802.01396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/to-understand-deep-learning-we-need-to-understand-kernel-learning-1802.01396"/></url>
<url><loc>https://scifaro.com/en/abs/first-order-adversarial-vulnerability-of-neural-networks-and-input-dimension-1802.01421</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/first-order-adversarial-vulnerability-of-neural-networks-and-input-dimension-1802.01421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/first-order-adversarial-vulnerability-of-neural-networks-and-input-dimension-1802.01421"/></url>
<url><loc>https://scifaro.com/en/abs/a-method-for-restoring-the-training-set-distribution-in-an-image-classifier-1802.01435</loc><lastmod>2018-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-method-for-restoring-the-training-set-distribution-in-an-image-classifier-1802.01435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-method-for-restoring-the-training-set-distribution-in-an-image-classifier-1802.01435"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-coreset-construction-via-greedy-iterative-geodesic-ascent-1802.01737</loc><lastmod>2018-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-coreset-construction-via-greedy-iterative-geodesic-ascent-1802.01737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-coreset-construction-via-greedy-iterative-geodesic-ascent-1802.01737"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-make-causal-inferences-using-texts-1802.02163</loc><lastmod>2018-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-make-causal-inferences-using-texts-1802.02163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-make-causal-inferences-using-texts-1802.02163"/></url>
<url><loc>https://scifaro.com/en/abs/practical-transfer-learning-for-bayesian-optimization-1802.02219</loc><lastmod>2022-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-transfer-learning-for-bayesian-optimization-1802.02219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-transfer-learning-for-bayesian-optimization-1802.02219"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-bayesian-correlated-component-analysis-1802.02343</loc><lastmod>2018-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-bayesian-correlated-component-analysis-1802.02343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-bayesian-correlated-component-analysis-1802.02343"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-deconvolutional-neural-network-ensemble-training-on-generative-pseudo-adversarial-networks-1802.02436</loc><lastmod>2018-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-deconvolutional-neural-network-ensemble-training-on-generative-pseudo-adversarial-networks-1802.02436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-deconvolutional-neural-network-ensemble-training-on-generative-pseudo-adversarial-networks-1802.02436"/></url>
<url><loc>https://scifaro.com/en/abs/cadre-modeling-simultaneously-discovering-subpopulations-and-predictive-models-1802.02500</loc><lastmod>2018-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cadre-modeling-simultaneously-discovering-subpopulations-and-predictive-models-1802.02500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cadre-modeling-simultaneously-discovering-subpopulations-and-predictive-models-1802.02500"/></url>
<url><loc>https://scifaro.com/en/abs/yes-but-did-it-work-evaluating-variational-inference-1802.02538</loc><lastmod>2018-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/yes-but-did-it-work-evaluating-variational-inference-1802.02538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/yes-but-did-it-work-evaluating-variational-inference-1802.02538"/></url>
<url><loc>https://scifaro.com/en/abs/semi-amortized-variational-autoencoders-1802.02550</loc><lastmod>2018-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-amortized-variational-autoencoders-1802.02550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-amortized-variational-autoencoders-1802.02550"/></url>
<url><loc>https://scifaro.com/en/abs/transductive-adversarial-networks-tan-1802.02798</loc><lastmod>2018-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transductive-adversarial-networks-tan-1802.02798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transductive-adversarial-networks-tan-1802.02798"/></url>
<url><loc>https://scifaro.com/en/abs/mgpfusion-predicting-protein-stability-changes-with-gaussian-process-kernel-learning-and-data-fusion-1802.02852</loc><lastmod>2018-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mgpfusion-predicting-protein-stability-changes-with-gaussian-process-kernel-learning-and-data-fusion-1802.02852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mgpfusion-predicting-protein-stability-changes-with-gaussian-process-kernel-learning-and-data-fusion-1802.02852"/></url>
<url><loc>https://scifaro.com/en/abs/learning-role-based-graph-embeddings-1802.02896</loc><lastmod>2018-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-role-based-graph-embeddings-1802.02896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-role-based-graph-embeddings-1802.02896"/></url>
<url><loc>https://scifaro.com/en/abs/a-game-theoretic-approach-to-design-secure-and-resilient-distributed-support-vector-machines-1802.02907</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-game-theoretic-approach-to-design-secure-and-resilient-distributed-support-vector-machines-1802.02907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-game-theoretic-approach-to-design-secure-and-resilient-distributed-support-vector-machines-1802.02907"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-state-compression-of-markov-processes-1802.02920</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-state-compression-of-markov-processes-1802.02920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-state-compression-of-markov-processes-1802.02920"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-learnability-of-generalized-additive-models-based-on-total-variation-regularization-1802.03001</loc><lastmod>2018-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-learnability-of-generalized-additive-models-based-on-total-variation-regularization-1802.03001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-learnability-of-generalized-additive-models-based-on-total-variation-regularization-1802.03001"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-learning-of-neural-networks-from-scratch-by-pseudo-example-optimization-1802.03039</loc><lastmod>2018-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-learning-of-neural-networks-from-scratch-by-pseudo-example-optimization-1802.03039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-learning-of-neural-networks-from-scratch-by-pseudo-example-optimization-1802.03039"/></url>
<url><loc>https://scifaro.com/en/abs/detection-of-adversarial-training-examples-in-poisoning-attacks-through-anomaly-detection-1802.03041</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detection-of-adversarial-training-examples-in-poisoning-attacks-through-anomaly-detection-1802.03041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detection-of-adversarial-training-examples-in-poisoning-attacks-through-anomaly-detection-1802.03041"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-for-dynamic-pricing-1802.03050</loc><lastmod>2018-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-for-dynamic-pricing-1802.03050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-for-dynamic-pricing-1802.03050"/></url>
<url><loc>https://scifaro.com/en/abs/generating-realistic-geology-conditioned-on-physical-measurements-with-generative-adversarial-networks-1802.03065</loc><lastmod>2018-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-realistic-geology-conditioned-on-physical-measurements-with-generative-adversarial-networks-1802.03065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-realistic-geology-conditioned-on-physical-measurements-with-generative-adversarial-networks-1802.03065"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-sparse-regression-in-glm-by-stochastic-optimization-1802.03127</loc><lastmod>2026-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-sparse-regression-in-glm-by-stochastic-optimization-1802.03127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-sparse-regression-in-glm-by-stochastic-optimization-1802.03127"/></url>
<url><loc>https://scifaro.com/en/abs/deep-private-feature-extraction-1802.03151</loc><lastmod>2018-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-private-feature-extraction-1802.03151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-private-feature-extraction-1802.03151"/></url>
<url><loc>https://scifaro.com/en/abs/curve-registered-coupled-low-rank-factorization-1802.03203</loc><lastmod>2018-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curve-registered-coupled-low-rank-factorization-1802.03203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curve-registered-coupled-low-rank-factorization-1802.03203"/></url>
<url><loc>https://scifaro.com/en/abs/deep-clustering-of-longitudinal-data-1802.03212</loc><lastmod>2018-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-clustering-of-longitudinal-data-1802.03212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-clustering-of-longitudinal-data-1802.03212"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-for-bivariate-ranks-1802.03300</loc><lastmod>2018-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-for-bivariate-ranks-1802.03300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-for-bivariate-ranks-1802.03300"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-audio-advertisement-quality-1802.03319</loc><lastmod>2018-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-audio-advertisement-quality-1802.03319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-audio-advertisement-quality-1802.03319"/></url>
<url><loc>https://scifaro.com/en/abs/learning-localized-spatio-temporal-models-from-streaming-data-1802.03334</loc><lastmod>2018-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-localized-spatio-temporal-models-from-streaming-data-1802.03334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-localized-spatio-temporal-models-from-streaming-data-1802.03334"/></url>
<url><loc>https://scifaro.com/en/abs/information-planning-for-text-data-1802.03360</loc><lastmod>2018-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-planning-for-text-data-1802.03360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-planning-for-text-data-1802.03360"/></url>
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<url><loc>https://scifaro.com/en/abs/estimating-the-spectral-density-of-large-implicit-matrices-1802.03451</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-the-spectral-density-of-large-implicit-matrices-1802.03451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-the-spectral-density-of-large-implicit-matrices-1802.03451"/></url>
<url><loc>https://scifaro.com/en/abs/certified-robustness-to-adversarial-examples-with-differential-privacy-1802.03471</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certified-robustness-to-adversarial-examples-with-differential-privacy-1802.03471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certified-robustness-to-adversarial-examples-with-differential-privacy-1802.03471"/></url>
<url><loc>https://scifaro.com/en/abs/communication-computation-efficient-gradient-coding-1802.03475</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-computation-efficient-gradient-coding-1802.03475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-computation-efficient-gradient-coding-1802.03475"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-of-an-upper-bound-on-the-number-of-nodes-needed-to-achieve-linear-separability-1802.03488</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-of-an-upper-bound-on-the-number-of-nodes-needed-to-achieve-linear-separability-1802.03488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-of-an-upper-bound-on-the-number-of-nodes-needed-to-achieve-linear-separability-1802.03488"/></url>
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<url><loc>https://scifaro.com/en/abs/crit-eres-de-qualit-e-d-un-classifieur-g-en-eraliste-1802.03567</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crit-eres-de-qualit-e-d-un-classifieur-g-en-eraliste-1802.03567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crit-eres-de-qualit-e-d-un-classifieur-g-en-eraliste-1802.03567"/></url>
<url><loc>https://scifaro.com/en/abs/persistence-fisher-kernel-a-riemannian-manifold-kernel-for-persistence-diagrams-1802.03569</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/persistence-fisher-kernel-a-riemannian-manifold-kernel-for-persistence-diagrams-1802.03569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/persistence-fisher-kernel-a-riemannian-manifold-kernel-for-persistence-diagrams-1802.03569"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-match-via-inverse-optimal-transport-1802.03644</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-match-via-inverse-optimal-transport-1802.03644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-match-via-inverse-optimal-transport-1802.03644"/></url>
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<url><loc>https://scifaro.com/en/abs/mathcal-g-sgd-optimizing-relu-neural-networks-in-its-positively-scale-invariant-space-1802.03713</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mathcal-g-sgd-optimizing-relu-neural-networks-in-its-positively-scale-invariant-space-1802.03713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mathcal-g-sgd-optimizing-relu-neural-networks-in-its-positively-scale-invariant-space-1802.03713"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-classification-of-dermatological-diseases-by-deep-learning-1802.03752</loc><lastmod>2018-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-classification-of-dermatological-diseases-by-deep-learning-1802.03752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-classification-of-dermatological-diseases-by-deep-learning-1802.03752"/></url>
<url><loc>https://scifaro.com/en/abs/multi-set-canonical-correlation-analysis-simply-explained-1802.03759</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-set-canonical-correlation-analysis-simply-explained-1802.03759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-set-canonical-correlation-analysis-simply-explained-1802.03759"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-latent-space-of-wasserstein-auto-encoders-1802.03761</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-latent-space-of-wasserstein-auto-encoders-1802.03761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-latent-space-of-wasserstein-auto-encoders-1802.03761"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-stochastic-multi-task-learning-with-graph-regularization-1802.03830</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-stochastic-multi-task-learning-with-graph-regularization-1802.03830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-stochastic-multi-task-learning-with-graph-regularization-1802.03830"/></url>
<url><loc>https://scifaro.com/en/abs/band-target-entropy-minimization-and-target-partial-least-squares-for-spectral-recovery-and-calibration-1802.03839</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/band-target-entropy-minimization-and-target-partial-least-squares-for-spectral-recovery-and-calibration-1802.03839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/band-target-entropy-minimization-and-target-partial-least-squares-for-spectral-recovery-and-calibration-1802.03839"/></url>
<url><loc>https://scifaro.com/en/abs/uncharted-forest-a-technique-for-exploratory-data-analysis-1802.03840</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncharted-forest-a-technique-for-exploratory-data-analysis-1802.03840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncharted-forest-a-technique-for-exploratory-data-analysis-1802.03840"/></url>
<url><loc>https://scifaro.com/en/abs/region-detection-in-markov-random-fields-gaussian-case-1802.03848</loc><lastmod>2018-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/region-detection-in-markov-random-fields-gaussian-case-1802.03848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/region-detection-in-markov-random-fields-gaussian-case-1802.03848"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-classification-with-privileged-information-by-soft-to-hard-labeling-transfer-1802.03877</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-classification-with-privileged-information-by-soft-to-hard-labeling-transfer-1802.03877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-classification-with-privileged-information-by-soft-to-hard-labeling-transfer-1802.03877"/></url>
<url><loc>https://scifaro.com/en/abs/random-hinge-forest-for-differentiable-learning-1802.03882</loc><lastmod>2018-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-hinge-forest-for-differentiable-learning-1802.03882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-hinge-forest-for-differentiable-learning-1802.03882"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-the-utility-of-weather-data-for-photovoltaic-power-prediction-1802.03913</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-the-utility-of-weather-data-for-photovoltaic-power-prediction-1802.03913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-the-utility-of-weather-data-for-photovoltaic-power-prediction-1802.03913"/></url>
<url><loc>https://scifaro.com/en/abs/safe-triplet-screening-for-distance-metric-learning-1802.03923</loc><lastmod>2018-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-triplet-screening-for-distance-metric-learning-1802.03923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-triplet-screening-for-distance-metric-learning-1802.03923"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-the-vector-space-model-sparse-weighted-nearest-neighbor-method-for-extreme-multi-label-classification-1802.03938</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-the-vector-space-model-sparse-weighted-nearest-neighbor-method-for-extreme-multi-label-classification-1802.03938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-the-vector-space-model-sparse-weighted-nearest-neighbor-method-for-extreme-multi-label-classification-1802.03938"/></url>
<url><loc>https://scifaro.com/en/abs/latent-variable-time-varying-network-inference-1802.03987</loc><lastmod>2018-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-variable-time-varying-network-inference-1802.03987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-variable-time-varying-network-inference-1802.03987"/></url>
<url><loc>https://scifaro.com/en/abs/a-contextual-bandit-bake-off-1802.04064</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-contextual-bandit-bake-off-1802.04064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-contextual-bandit-bake-off-1802.04064"/></url>
<url><loc>https://scifaro.com/en/abs/bitcoin-volatility-forecasting-with-a-glimpse-into-buy-and-sell-orders-1802.04065</loc><lastmod>2019-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bitcoin-volatility-forecasting-with-a-glimpse-into-buy-and-sell-orders-1802.04065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bitcoin-volatility-forecasting-with-a-glimpse-into-buy-and-sell-orders-1802.04065"/></url>
<url><loc>https://scifaro.com/en/abs/dcfnet-deep-neural-network-with-decomposed-convolutional-filters-1802.04145</loc><lastmod>2018-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dcfnet-deep-neural-network-with-decomposed-convolutional-filters-1802.04145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dcfnet-deep-neural-network-with-decomposed-convolutional-filters-1802.04145"/></url>
<url><loc>https://scifaro.com/en/abs/client2vec-towards-systematic-baselines-for-banking-applications-1802.04198</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/client2vec-towards-systematic-baselines-for-banking-applications-1802.04198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/client2vec-towards-systematic-baselines-for-banking-applications-1802.04198"/></url>
<url><loc>https://scifaro.com/en/abs/augment-and-reduce-stochastic-inference-for-large-categorical-distributions-1802.04220</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augment-and-reduce-stochastic-inference-for-large-categorical-distributions-1802.04220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augment-and-reduce-stochastic-inference-for-large-categorical-distributions-1802.04220"/></url>
<url><loc>https://scifaro.com/en/abs/sparsemap-differentiable-sparse-structured-inference-1802.04223</loc><lastmod>2018-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsemap-differentiable-sparse-structured-inference-1802.04223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsemap-differentiable-sparse-structured-inference-1802.04223"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-proximal-point-method-for-computing-exact-wasserstein-distance-1802.04307</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-proximal-point-method-for-computing-exact-wasserstein-distance-1802.04307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-proximal-point-method-for-computing-exact-wasserstein-distance-1802.04307"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-quasi-newton-with-adaptive-step-lengths-for-large-scale-problems-1802.04310</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-quasi-newton-with-adaptive-step-lengths-for-large-scale-problems-1802.04310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-quasi-newton-with-adaptive-step-lengths-for-large-scale-problems-1802.04310"/></url>
<url><loc>https://scifaro.com/en/abs/tempered-adversarial-networks-1802.04374</loc><lastmod>2018-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tempered-adversarial-networks-1802.04374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tempered-adversarial-networks-1802.04374"/></url>
<url><loc>https://scifaro.com/en/abs/tvae-triplet-based-variational-autoencoder-using-metric-learning-1802.04403</loc><lastmod>2023-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tvae-triplet-based-variational-autoencoder-using-metric-learning-1802.04403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tvae-triplet-based-variational-autoencoder-using-metric-learning-1802.04403"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-study-of-fairness-enhancing-interventions-in-machine-learning-1802.04422</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-study-of-fairness-enhancing-interventions-in-machine-learning-1802.04422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-study-of-fairness-enhancing-interventions-in-machine-learning-1802.04422"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-networks-learn-non-smooth-functions-effectively-1802.04474</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-networks-learn-non-smooth-functions-effectively-1802.04474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-networks-learn-non-smooth-functions-effectively-1802.04474"/></url>
<url><loc>https://scifaro.com/en/abs/legendre-decomposition-for-tensors-1802.04502</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/legendre-decomposition-for-tensors-1802.04502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/legendre-decomposition-for-tensors-1802.04502"/></url>
<url><loc>https://scifaro.com/en/abs/tighter-variational-bounds-are-not-necessarily-better-1802.04537</loc><lastmod>2019-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tighter-variational-bounds-are-not-necessarily-better-1802.04537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tighter-variational-bounds-are-not-necessarily-better-1802.04537"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-minimax-error-rate-for-crowdsourcing-and-its-application-to-worker-clustering-model-1802.04551</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-minimax-error-rate-for-crowdsourcing-and-its-application-to-worker-clustering-model-1802.04551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-minimax-error-rate-for-crowdsourcing-and-its-application-to-worker-clustering-model-1802.04551"/></url>
<url><loc>https://scifaro.com/en/abs/fast-global-convergence-via-landscape-of-empirical-loss-1802.04617</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-global-convergence-via-landscape-of-empirical-loss-1802.04617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-global-convergence-via-landscape-of-empirical-loss-1802.04617"/></url>
<url><loc>https://scifaro.com/en/abs/a-probabilistic-framework-for-multi-view-feature-learning-with-many-to-many-associations-via-neural-networks-1802.04630</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probabilistic-framework-for-multi-view-feature-learning-with-many-to-many-associations-via-neural-networks-1802.04630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probabilistic-framework-for-multi-view-feature-learning-with-many-to-many-associations-via-neural-networks-1802.04630"/></url>
<url><loc>https://scifaro.com/en/abs/variable-selection-and-task-grouping-for-multi-task-learning-1802.04676</loc><lastmod>2018-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-selection-and-task-grouping-for-multi-task-learning-1802.04676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-selection-and-task-grouping-for-multi-task-learning-1802.04676"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-evaluation-and-weighted-aggregation-of-ranked-predictions-1802.04684</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-evaluation-and-weighted-aggregation-of-ranked-predictions-1802.04684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-evaluation-and-weighted-aggregation-of-ranked-predictions-1802.04684"/></url>
<url><loc>https://scifaro.com/en/abs/neural-relational-inference-for-interacting-systems-1802.04687</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-relational-inference-for-interacting-systems-1802.04687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-relational-inference-for-interacting-systems-1802.04687"/></url>
<url><loc>https://scifaro.com/en/abs/online-variance-reduction-for-stochastic-optimization-1802.04715</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-variance-reduction-for-stochastic-optimization-1802.04715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-variance-reduction-for-stochastic-optimization-1802.04715"/></url>
<url><loc>https://scifaro.com/en/abs/superposition-assisted-stochastic-optimization-for-hawkes-processes-1802.04725</loc><lastmod>2018-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/superposition-assisted-stochastic-optimization-for-hawkes-processes-1802.04725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/superposition-assisted-stochastic-optimization-for-hawkes-processes-1802.04725"/></url>
<url><loc>https://scifaro.com/en/abs/substation-signal-matching-with-a-bagged-token-classifier-1802.04734</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/substation-signal-matching-with-a-bagged-token-classifier-1802.04734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/substation-signal-matching-with-a-bagged-token-classifier-1802.04734"/></url>
<url><loc>https://scifaro.com/en/abs/monk-outlier-robust-mean-embedding-estimation-by-median-of-means-1802.04784</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monk-outlier-robust-mean-embedding-estimation-by-median-of-means-1802.04784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monk-outlier-robust-mean-embedding-estimation-by-median-of-means-1802.04784"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-variance-reduced-hamilton-monte-carlo-methods-1802.04791</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-variance-reduced-hamilton-monte-carlo-methods-1802.04791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-variance-reduced-hamilton-monte-carlo-methods-1802.04791"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-the-exact-likelihood-of-deep-latent-variable-models-1802.04826</loc><lastmod>2018-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-the-exact-likelihood-of-deep-latent-variable-models-1802.04826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-the-exact-likelihood-of-deep-latent-variable-models-1802.04826"/></url>
<url><loc>https://scifaro.com/en/abs/network-estimation-from-point-process-data-1802.04838</loc><lastmod>2018-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-estimation-from-point-process-data-1802.04838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-estimation-from-point-process-data-1802.04838"/></url>
<url><loc>https://scifaro.com/en/abs/state-space-gaussian-processes-with-non-gaussian-likelihood-1802.04846</loc><lastmod>2018-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/state-space-gaussian-processes-with-non-gaussian-likelihood-1802.04846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/state-space-gaussian-processes-with-non-gaussian-likelihood-1802.04846"/></url>
<url><loc>https://scifaro.com/en/abs/persistence-codebooks-for-topological-data-analysis-1802.04852</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/persistence-codebooks-for-topological-data-analysis-1802.04852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/persistence-codebooks-for-topological-data-analysis-1802.04852"/></url>
<url><loc>https://scifaro.com/en/abs/learning-confidence-for-out-of-distribution-detection-in-neural-networks-1802.04865</loc><lastmod>2018-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-confidence-for-out-of-distribution-detection-in-neural-networks-1802.04865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-confidence-for-out-of-distribution-detection-in-neural-networks-1802.04865"/></url>
<url><loc>https://scifaro.com/en/abs/simple-embedding-for-link-prediction-in-knowledge-graphs-1802.04868</loc><lastmod>2018-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-embedding-for-link-prediction-in-knowledge-graphs-1802.04868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-embedding-for-link-prediction-in-knowledge-graphs-1802.04868"/></url>
<url><loc>https://scifaro.com/en/abs/gilbo-one-metric-to-measure-them-all-1802.04874</loc><lastmod>2019-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gilbo-one-metric-to-measure-them-all-1802.04874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gilbo-one-metric-to-measure-them-all-1802.04874"/></url>
<url><loc>https://scifaro.com/en/abs/higrad-uncertainty-quantification-for-online-learning-and-stochastic-approximation-1802.04876</loc><lastmod>2025-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/higrad-uncertainty-quantification-for-online-learning-and-stochastic-approximation-1802.04876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/higrad-uncertainty-quantification-for-online-learning-and-stochastic-approximation-1802.04876"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-estimation-via-stochastic-batch-normalization-1802.04893</loc><lastmod>2018-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-estimation-via-stochastic-batch-normalization-1802.04893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-estimation-via-stochastic-batch-normalization-1802.04893"/></url>
<url><loc>https://scifaro.com/en/abs/compressive-sensing-using-iterative-hard-thresholding-with-low-precision-data-representation-theory-and-applications-1802.04907</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressive-sensing-using-iterative-hard-thresholding-with-low-precision-data-representation-theory-and-applications-1802.04907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressive-sensing-using-iterative-hard-thresholding-with-low-precision-data-representation-theory-and-applications-1802.04907"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-density-estimation-with-bayesian-normalising-flows-1802.04908</loc><lastmod>2018-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-density-estimation-with-bayesian-normalising-flows-1802.04908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-density-estimation-with-bayesian-normalising-flows-1802.04908"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-sparse-inverse-covariance-estimation-via-thresholding-and-max-det-matrix-completion-1802.04911</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-sparse-inverse-covariance-estimation-via-thresholding-and-max-det-matrix-completion-1802.04911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-sparse-inverse-covariance-estimation-via-thresholding-and-max-det-matrix-completion-1802.04911"/></url>
<url><loc>https://scifaro.com/en/abs/edge-attention-based-multi-relational-graph-convolutional-networks-1802.04944</loc><lastmod>2022-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edge-attention-based-multi-relational-graph-convolutional-networks-1802.04944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edge-attention-based-multi-relational-graph-convolutional-networks-1802.04944"/></url>
<url><loc>https://scifaro.com/en/abs/d2ke-from-distance-to-kernel-and-embedding-1802.04956</loc><lastmod>2018-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/d2ke-from-distance-to-kernel-and-embedding-1802.04956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/d2ke-from-distance-to-kernel-and-embedding-1802.04956"/></url>
<url><loc>https://scifaro.com/en/abs/vertex-nomination-the-canonical-sampling-and-the-extended-spectral-nomination-schemes-1802.04960</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vertex-nomination-the-canonical-sampling-and-the-extended-spectral-nomination-schemes-1802.04960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vertex-nomination-the-canonical-sampling-and-the-extended-spectral-nomination-schemes-1802.04960"/></url>
<url><loc>https://scifaro.com/en/abs/nonnegative-parafac2-a-flexible-coupling-approach-1802.05035</loc><lastmod>2018-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonnegative-parafac2-a-flexible-coupling-approach-1802.05035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonnegative-parafac2-a-flexible-coupling-approach-1802.05035"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-blindspots-of-convolutional-networks-1802.05187</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-blindspots-of-convolutional-networks-1802.05187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-blindspots-of-convolutional-networks-1802.05187"/></url>
<url><loc>https://scifaro.com/en/abs/the-role-of-information-complexity-and-randomization-in-representation-learning-1802.05355</loc><lastmod>2018-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-information-complexity-and-randomization-in-representation-learning-1802.05355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-information-complexity-and-randomization-in-representation-learning-1802.05355"/></url>
<url><loc>https://scifaro.com/en/abs/covariance-function-pre-training-with-m-kernels-for-accelerated-bayesian-optimisation-1802.05370</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covariance-function-pre-training-with-m-kernels-for-accelerated-bayesian-optimisation-1802.05370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covariance-function-pre-training-with-m-kernels-for-accelerated-bayesian-optimisation-1802.05370"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-bayesian-optimization-using-dropout-1802.05400</loc><lastmod>2018-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-bayesian-optimization-using-dropout-1802.05400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-bayesian-optimization-using-dropout-1802.05400"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-theory-of-variance-reduction-for-stochastic-gradient-monte-carlo-1802.05431</loc><lastmod>2018-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-theory-of-variance-reduction-for-stochastic-gradient-monte-carlo-1802.05431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-theory-of-variance-reduction-for-stochastic-gradient-monte-carlo-1802.05431"/></url>
<url><loc>https://scifaro.com/en/abs/history-pca-a-new-algorithm-for-streaming-pca-1802.05447</loc><lastmod>2018-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/history-pca-a-new-algorithm-for-streaming-pca-1802.05447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/history-pca-a-new-algorithm-for-streaming-pca-1802.05447"/></url>
<url><loc>https://scifaro.com/en/abs/mapping-images-to-scene-graphs-with-permutation-invariant-structured-prediction-1802.05451</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mapping-images-to-scene-graphs-with-permutation-invariant-structured-prediction-1802.05451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mapping-images-to-scene-graphs-with-permutation-invariant-structured-prediction-1802.05451"/></url>
<url><loc>https://scifaro.com/en/abs/ica-based-on-split-generalized-gaussian-1802.05550</loc><lastmod>2018-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ica-based-on-split-generalized-gaussian-1802.05550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ica-based-on-split-generalized-gaussian-1802.05550"/></url>
<url><loc>https://scifaro.com/en/abs/conditioning-of-three-dimensional-generative-adversarial-networks-for-pore-and-reservoir-scale-models-1802.05622</loc><lastmod>2018-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditioning-of-three-dimensional-generative-adversarial-networks-for-pore-and-reservoir-scale-models-1802.05622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditioning-of-three-dimensional-generative-adversarial-networks-for-pore-and-reservoir-scale-models-1802.05622"/></url>
<url><loc>https://scifaro.com/en/abs/deepmatch-balancing-deep-covariate-representations-for-causal-inference-using-adversarial-training-1802.05664</loc><lastmod>2018-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepmatch-balancing-deep-covariate-representations-for-causal-inference-using-adversarial-training-1802.05664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepmatch-balancing-deep-covariate-representations-for-causal-inference-using-adversarial-training-1802.05664"/></url>
<url><loc>https://scifaro.com/en/abs/constraining-the-dynamics-of-deep-probabilistic-models-1802.05680</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constraining-the-dynamics-of-deep-probabilistic-models-1802.05680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constraining-the-dynamics-of-deep-probabilistic-models-1802.05680"/></url>
<url><loc>https://scifaro.com/en/abs/simulation-assisted-machine-learning-1802.05688</loc><lastmod>2019-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulation-assisted-machine-learning-1802.05688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulation-assisted-machine-learning-1802.05688"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-stochastic-optimization-via-adaptive-sgd-1802.05811</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-stochastic-optimization-via-adaptive-sgd-1802.05811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-stochastic-optimization-via-adaptive-sgd-1802.05811"/></url>
<url><loc>https://scifaro.com/en/abs/variational-autoencoders-for-collaborative-filtering-1802.05814</loc><lastmod>2018-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-autoencoders-for-collaborative-filtering-1802.05814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-autoencoders-for-collaborative-filtering-1802.05814"/></url>
<url><loc>https://scifaro.com/en/abs/learning-latent-features-with-pairwise-penalties-in-low-rank-matrix-completion-1802.05821</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-latent-features-with-pairwise-penalties-in-low-rank-matrix-completion-1802.05821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-latent-features-with-pairwise-penalties-in-low-rank-matrix-completion-1802.05821"/></url>
<url><loc>https://scifaro.com/en/abs/rapid-bayesian-optimisation-for-synthesis-of-short-polymer-fiber-materials-1802.05841</loc><lastmod>2018-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapid-bayesian-optimisation-for-synthesis-of-short-polymer-fiber-materials-1802.05841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapid-bayesian-optimisation-for-synthesis-of-short-polymer-fiber-materials-1802.05841"/></url>
<url><loc>https://scifaro.com/en/abs/neural-granger-causality-1802.05842</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-granger-causality-1802.05842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-granger-causality-1802.05842"/></url>
<url><loc>https://scifaro.com/en/abs/train-on-validation-squeezing-the-data-lemon-1802.05846</loc><lastmod>2018-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/train-on-validation-squeezing-the-data-lemon-1802.05846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/train-on-validation-squeezing-the-data-lemon-1802.05846"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-by-factorising-1802.05983</loc><lastmod>2019-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-by-factorising-1802.05983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-by-factorising-1802.05983"/></url>
<url><loc>https://scifaro.com/en/abs/policy-evaluation-and-optimization-with-continuous-treatments-1802.06037</loc><lastmod>2018-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-evaluation-and-optimization-with-continuous-treatments-1802.06037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-evaluation-and-optimization-with-continuous-treatments-1802.06037"/></url>
<url><loc>https://scifaro.com/en/abs/online-continuous-submodular-maximization-1802.06052</loc><lastmod>2018-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-continuous-submodular-maximization-1802.06052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-continuous-submodular-maximization-1802.06052"/></url>
<url><loc>https://scifaro.com/en/abs/mining-sub-interval-relationships-in-time-series-data-1802.06095</loc><lastmod>2018-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mining-sub-interval-relationships-in-time-series-data-1802.06095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mining-sub-interval-relationships-in-time-series-data-1802.06095"/></url>
<url><loc>https://scifaro.com/en/abs/interaction-matters-a-note-on-non-asymptotic-local-convergence-of-generative-adversarial-networks-1802.06132</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interaction-matters-a-note-on-non-asymptotic-local-convergence-of-generative-adversarial-networks-1802.06132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interaction-matters-a-note-on-non-asymptotic-local-convergence-of-generative-adversarial-networks-1802.06132"/></url>
<url><loc>https://scifaro.com/en/abs/capsulegan-generative-adversarial-capsule-network-1802.06167</loc><lastmod>2018-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/capsulegan-generative-adversarial-capsule-network-1802.06167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/capsulegan-generative-adversarial-capsule-network-1802.06167"/></url>
<url><loc>https://scifaro.com/en/abs/post-selection-inference-with-incomplete-maximum-mean-discrepancy-estimator-1802.06226</loc><lastmod>2018-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/post-selection-inference-with-incomplete-maximum-mean-discrepancy-estimator-1802.06226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/post-selection-inference-with-incomplete-maximum-mean-discrepancy-estimator-1802.06226"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-vehicle-recognition-using-incremental-reseeding-of-acoustic-signatures-1802.06287</loc><lastmod>2018-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-vehicle-recognition-using-incremental-reseeding-of-acoustic-signatures-1802.06287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-vehicle-recognition-using-incremental-reseeding-of-acoustic-signatures-1802.06287"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-estimation-of-low-rank-matrix-valued-function-1802.06292</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-estimation-of-low-rank-matrix-valued-function-1802.06292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-estimation-of-low-rank-matrix-valued-function-1802.06292"/></url>
<url><loc>https://scifaro.com/en/abs/exact-and-robust-conformal-inference-methods-for-predictive-machine-learning-with-dependent-data-1802.06300</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-and-robust-conformal-inference-methods-for-predictive-machine-learning-with-dependent-data-1802.06300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-and-robust-conformal-inference-methods-for-predictive-machine-learning-with-dependent-data-1802.06300"/></url>
<url><loc>https://scifaro.com/en/abs/out-of-sample-extension-of-graph-adjacency-spectral-embedding-1802.06307</loc><lastmod>2018-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/out-of-sample-extension-of-graph-adjacency-spectral-embedding-1802.06307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/out-of-sample-extension-of-graph-adjacency-spectral-embedding-1802.06307"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-gaussian-process-classification-using-polya-gamma-data-augmentation-1802.06383</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-gaussian-process-classification-using-polya-gamma-data-augmentation-1802.06383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-gaussian-process-classification-using-polya-gamma-data-augmentation-1802.06383"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-uncertainty-estimation-for-batch-normalized-deep-networks-1802.06455</loc><lastmod>2018-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-uncertainty-estimation-for-batch-normalized-deep-networks-1802.06455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-uncertainty-estimation-for-batch-normalized-deep-networks-1802.06455"/></url>
<url><loc>https://scifaro.com/en/abs/a-generative-modeling-approach-to-limited-channel-ecg-classification-1802.06458</loc><lastmod>2018-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generative-modeling-approach-to-limited-channel-ecg-classification-1802.06458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generative-modeling-approach-to-limited-channel-ecg-classification-1802.06458"/></url>
<url><loc>https://scifaro.com/en/abs/guaranteed-recovery-of-one-hidden-layer-neural-networks-via-cross-entropy-1802.06463</loc><lastmod>2020-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guaranteed-recovery-of-one-hidden-layer-neural-networks-via-cross-entropy-1802.06463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guaranteed-recovery-of-one-hidden-layer-neural-networks-via-cross-entropy-1802.06463"/></url>
<url><loc>https://scifaro.com/en/abs/robust-estimation-via-robust-gradient-estimation-1802.06485</loc><lastmod>2018-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-estimation-via-robust-gradient-estimation-1802.06485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-estimation-via-robust-gradient-estimation-1802.06485"/></url>
<url><loc>https://scifaro.com/en/abs/degeneration-in-vae-in-the-light-of-fisher-information-loss-1802.06677</loc><lastmod>2018-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/degeneration-in-vae-in-the-light-of-fisher-information-loss-1802.06677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/degeneration-in-vae-in-the-light-of-fisher-information-loss-1802.06677"/></url>
<url><loc>https://scifaro.com/en/abs/entropy-isomap-manifold-learning-for-high-dimensional-dynamic-processes-1802.06823</loc><lastmod>2018-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropy-isomap-manifold-learning-for-high-dimensional-dynamic-processes-1802.06823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropy-isomap-manifold-learning-for-high-dimensional-dynamic-processes-1802.06823"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-matching-in-variational-inference-1802.06847</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-matching-in-variational-inference-1802.06847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-matching-in-variational-inference-1802.06847"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-error-bounds-with-probabilistic-guarantee-for-sgd-in-nonconvex-optimization-1802.06903</loc><lastmod>2019-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-error-bounds-with-probabilistic-guarantee-for-sgd-in-nonconvex-optimization-1802.06903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-error-bounds-with-probabilistic-guarantee-for-sgd-in-nonconvex-optimization-1802.06903"/></url>
<url><loc>https://scifaro.com/en/abs/estimator-of-prediction-error-based-on-approximate-message-passing-for-penalized-linear-regression-1802.06939</loc><lastmod>2018-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimator-of-prediction-error-based-on-approximate-message-passing-for-penalized-linear-regression-1802.06939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimator-of-prediction-error-based-on-approximate-message-passing-for-penalized-linear-regression-1802.06939"/></url>
<url><loc>https://scifaro.com/en/abs/recovery-of-simultaneous-low-rank-and-two-way-sparse-coefficient-matrices-a-nonconvex-approach-1802.06967</loc><lastmod>2019-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovery-of-simultaneous-low-rank-and-two-way-sparse-coefficient-matrices-a-nonconvex-approach-1802.06967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovery-of-simultaneous-low-rank-and-two-way-sparse-coefficient-matrices-a-nonconvex-approach-1802.06967"/></url>
<url><loc>https://scifaro.com/en/abs/segmentation-hi-erarchique-faiblement-supervis-ee-1802.07008</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/segmentation-hi-erarchique-faiblement-supervis-ee-1802.07008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/segmentation-hi-erarchique-faiblement-supervis-ee-1802.07008"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-framework-for-abstention-under-label-shift-1802.07024</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-framework-for-abstention-under-label-shift-1802.07024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-framework-for-abstention-under-label-shift-1802.07024"/></url>
<url><loc>https://scifaro.com/en/abs/on-learning-causal-structures-from-non-experimental-data-without-any-faithfulness-assumption-1802.07051</loc><lastmod>2025-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-learning-causal-structures-from-non-experimental-data-without-any-faithfulness-assumption-1802.07051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-learning-causal-structures-from-non-experimental-data-without-any-faithfulness-assumption-1802.07051"/></url>
<url><loc>https://scifaro.com/en/abs/robust-maximization-of-non-submodular-objectives-1802.07073</loc><lastmod>2020-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-maximization-of-non-submodular-objectives-1802.07073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-maximization-of-non-submodular-objectives-1802.07073"/></url>
<url><loc>https://scifaro.com/en/abs/structured-uncertainty-prediction-networks-1802.07079</loc><lastmod>2026-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-uncertainty-prediction-networks-1802.07079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-uncertainty-prediction-networks-1802.07079"/></url>
<url><loc>https://scifaro.com/en/abs/on-estimating-multi-attribute-choice-preferences-using-private-signals-and-matrix-factorization-1802.07126</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-estimating-multi-attribute-choice-preferences-using-private-signals-and-matrix-factorization-1802.07126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-estimating-multi-attribute-choice-preferences-using-private-signals-and-matrix-factorization-1802.07126"/></url>
<url><loc>https://scifaro.com/en/abs/deep-bcd-net-using-identical-encoding-decoding-cnn-structures-for-iterative-image-recovery-1802.07129</loc><lastmod>2023-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-bcd-net-using-identical-encoding-decoding-cnn-structures-for-iterative-image-recovery-1802.07129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-bcd-net-using-identical-encoding-decoding-cnn-structures-for-iterative-image-recovery-1802.07129"/></url>
<url><loc>https://scifaro.com/en/abs/high-quality-prediction-intervals-for-deep-learning-a-distribution-free-ensembled-approach-1802.07167</loc><lastmod>2019-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-quality-prediction-intervals-for-deep-learning-a-distribution-free-ensembled-approach-1802.07167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-quality-prediction-intervals-for-deep-learning-a-distribution-free-ensembled-approach-1802.07167"/></url>
<url><loc>https://scifaro.com/en/abs/the-gaussian-process-autoregressive-regression-model-gpar-1802.07182</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-gaussian-process-autoregressive-regression-model-gpar-1802.07182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-gaussian-process-autoregressive-regression-model-gpar-1802.07182"/></url>
<url><loc>https://scifaro.com/en/abs/attack-strength-vs-detectability-dilemma-in-adversarial-machine-learning-1802.07295</loc><lastmod>2018-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attack-strength-vs-detectability-dilemma-in-adversarial-machine-learning-1802.07295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attack-strength-vs-detectability-dilemma-in-adversarial-machine-learning-1802.07295"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-incremental-learning-for-deep-neural-networks-1802.07329</loc><lastmod>2018-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-incremental-learning-for-deep-neural-networks-1802.07329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-incremental-learning-for-deep-neural-networks-1802.07329"/></url>
<url><loc>https://scifaro.com/en/abs/a-folded-model-for-compositional-data-analysis-1802.07330</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-folded-model-for-compositional-data-analysis-1802.07330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-folded-model-for-compositional-data-analysis-1802.07330"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-statistical-challenges-of-echo-state-networks-and-some-potential-remedies-1802.07369</loc><lastmod>2018-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-statistical-challenges-of-echo-state-networks-and-some-potential-remedies-1802.07369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-statistical-challenges-of-echo-state-networks-and-some-potential-remedies-1802.07369"/></url>
<url><loc>https://scifaro.com/en/abs/direct-learning-to-rank-and-rerank-1802.07400</loc><lastmod>2018-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/direct-learning-to-rank-and-rerank-1802.07400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/direct-learning-to-rank-and-rerank-1802.07400"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-in-machine-learning-via-analytical-learning-theory-1802.07426</loc><lastmod>2019-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-in-machine-learning-via-analytical-learning-theory-1802.07426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-in-machine-learning-via-analytical-learning-theory-1802.07426"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-bayesian-sparse-graph-linear-dynamical-systems-1802.07434</loc><lastmod>2018-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-bayesian-sparse-graph-linear-dynamical-systems-1802.07434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-bayesian-sparse-graph-linear-dynamical-systems-1802.07434"/></url>
<url><loc>https://scifaro.com/en/abs/celer-a-fast-solver-for-the-lasso-with-dual-extrapolation-1802.07481</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/celer-a-fast-solver-for-the-lasso-with-dual-extrapolation-1802.07481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/celer-a-fast-solver-for-the-lasso-with-dual-extrapolation-1802.07481"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-classification-an-adversarial-risk-analysis-approach-1802.07513</loc><lastmod>2019-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-classification-an-adversarial-risk-analysis-approach-1802.07513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-classification-an-adversarial-risk-analysis-approach-1802.07513"/></url>
<url><loc>https://scifaro.com/en/abs/learning-integral-representations-of-gaussian-processes-1802.07528</loc><lastmod>2019-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-integral-representations-of-gaussian-processes-1802.07528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-integral-representations-of-gaussian-processes-1802.07528"/></url>
<url><loc>https://scifaro.com/en/abs/bruno-a-deep-recurrent-model-for-exchangeable-data-1802.07535</loc><lastmod>2018-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bruno-a-deep-recurrent-model-for-exchangeable-data-1802.07535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bruno-a-deep-recurrent-model-for-exchangeable-data-1802.07535"/></url>
<url><loc>https://scifaro.com/en/abs/the-many-faces-of-exponential-weights-in-online-learning-1802.07543</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-many-faces-of-exponential-weights-in-online-learning-1802.07543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-many-faces-of-exponential-weights-in-online-learning-1802.07543"/></url>
<url><loc>https://scifaro.com/en/abs/emulating-dynamic-non-linear-simulators-using-gaussian-processes-1802.07575</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emulating-dynamic-non-linear-simulators-using-gaussian-processes-1802.07575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emulating-dynamic-non-linear-simulators-using-gaussian-processes-1802.07575"/></url>
<url><loc>https://scifaro.com/en/abs/universal-hypothesis-testing-with-kernels-asymptotically-optimal-tests-for-goodness-of-fit-1802.07581</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-hypothesis-testing-with-kernels-asymptotically-optimal-tests-for-goodness-of-fit-1802.07581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-hypothesis-testing-with-kernels-asymptotically-optimal-tests-for-goodness-of-fit-1802.07581"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-learning-vs-memorization-in-deep-neural-networks-using-shared-structure-validation-sets-1802.07714</loc><lastmod>2018-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-learning-vs-memorization-in-deep-neural-networks-using-shared-structure-validation-sets-1802.07714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-learning-vs-memorization-in-deep-neural-networks-using-shared-structure-validation-sets-1802.07714"/></url>
<url><loc>https://scifaro.com/en/abs/determining-the-best-classifier-for-predicting-the-value-of-a-boolean-field-on-a-blood-donor-database-using-genetic-algorithms-1802.07756</loc><lastmod>2018-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/determining-the-best-classifier-for-predicting-the-value-of-a-boolean-field-on-a-blood-donor-database-using-genetic-algorithms-1802.07756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/determining-the-best-classifier-for-predicting-the-value-of-a-boolean-field-on-a-blood-donor-database-using-genetic-algorithms-1802.07756"/></url>
<url><loc>https://scifaro.com/en/abs/the-hidden-vulnerability-of-distributed-learning-in-byzantium-1802.07927</loc><lastmod>2018-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-hidden-vulnerability-of-distributed-learning-in-byzantium-1802.07927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-hidden-vulnerability-of-distributed-learning-in-byzantium-1802.07927"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-byzantine-machine-learning-the-case-of-sgd-1802.07928</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-byzantine-machine-learning-the-case-of-sgd-1802.07928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-byzantine-machine-learning-the-case-of-sgd-1802.07928"/></url>
<url><loc>https://scifaro.com/en/abs/the-state-of-the-art-in-integrating-machine-learning-into-visual-analytics-1802.07954</loc><lastmod>2018-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-state-of-the-art-in-integrating-machine-learning-into-visual-analytics-1802.07954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-state-of-the-art-in-integrating-machine-learning-into-visual-analytics-1802.07954"/></url>
<url><loc>https://scifaro.com/en/abs/learning-topic-models-by-neighborhood-aggregation-1802.08012</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-topic-models-by-neighborhood-aggregation-1802.08012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-topic-models-by-neighborhood-aggregation-1802.08012"/></url>
<url><loc>https://scifaro.com/en/abs/path-specific-counterfactual-fairness-1802.08139</loc><lastmod>2018-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/path-specific-counterfactual-fairness-1802.08139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/path-specific-counterfactual-fairness-1802.08139"/></url>
<url><loc>https://scifaro.com/en/abs/an-analysis-of-categorical-distributional-reinforcement-learning-1802.08163</loc><lastmod>2018-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-analysis-of-categorical-distributional-reinforcement-learning-1802.08163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-analysis-of-categorical-distributional-reinforcement-learning-1802.08163"/></url>
<url><loc>https://scifaro.com/en/abs/learning-causally-generated-stationary-time-series-1802.08167</loc><lastmod>2018-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-causally-generated-stationary-time-series-1802.08167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-causally-generated-stationary-time-series-1802.08167"/></url>
<url><loc>https://scifaro.com/en/abs/projection-free-online-optimization-with-stochastic-gradient-from-convexity-to-submodularity-1802.08183</loc><lastmod>2018-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projection-free-online-optimization-with-stochastic-gradient-from-convexity-to-submodularity-1802.08183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projection-free-online-optimization-with-stochastic-gradient-from-convexity-to-submodularity-1802.08183"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-implicit-bias-in-terms-of-optimization-geometry-1802.08246</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-implicit-bias-in-terms-of-optimization-geometry-1802.08246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-implicit-bias-in-terms-of-optimization-geometry-1802.08246"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-k-means-type-algorithm-for-clustering-datasets-with-incomplete-records-1802.08363</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-k-means-type-algorithm-for-clustering-datasets-with-incomplete-records-1802.08363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-k-means-type-algorithm-for-clustering-datasets-with-incomplete-records-1802.08363"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-algorithms-for-d-optimal-design-1802.08372</loc><lastmod>2024-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-algorithms-for-d-optimal-design-1802.08372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-algorithms-for-d-optimal-design-1802.08372"/></url>
<url><loc>https://scifaro.com/en/abs/on-abruptly-changing-and-slowly-varying-multiarmed-bandit-problems-1802.08380</loc><lastmod>2018-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-abruptly-changing-and-slowly-varying-multiarmed-bandit-problems-1802.08380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-abruptly-changing-and-slowly-varying-multiarmed-bandit-problems-1802.08380"/></url>
<url><loc>https://scifaro.com/en/abs/harnessing-structures-in-big-data-via-guaranteed-low-rank-matrix-estimation-1802.08397</loc><lastmod>2018-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/harnessing-structures-in-big-data-via-guaranteed-low-rank-matrix-estimation-1802.08397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/harnessing-structures-in-big-data-via-guaranteed-low-rank-matrix-estimation-1802.08397"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-recursive-abc-point-estimation-with-intractable-likelihood-1802.08404</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-recursive-abc-point-estimation-with-intractable-likelihood-1802.08404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-recursive-abc-point-estimation-with-intractable-likelihood-1802.08404"/></url>
<url><loc>https://scifaro.com/en/abs/solving-linear-inverse-problems-using-gan-priors-an-algorithm-with-provable-guarantees-1802.08406</loc><lastmod>2018-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-linear-inverse-problems-using-gan-priors-an-algorithm-with-provable-guarantees-1802.08406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-linear-inverse-problems-using-gan-priors-an-algorithm-with-provable-guarantees-1802.08406"/></url>
<url><loc>https://scifaro.com/en/abs/exponentially-consistent-kernel-two-sample-tests-1802.08407</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponentially-consistent-kernel-two-sample-tests-1802.08407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponentially-consistent-kernel-two-sample-tests-1802.08407"/></url>
<url><loc>https://scifaro.com/en/abs/exact-sampling-of-determinantal-point-processes-without-eigendecomposition-1802.08429</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-sampling-of-determinantal-point-processes-without-eigendecomposition-1802.08429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-sampling-of-determinantal-point-processes-without-eigendecomposition-1802.08429"/></url>
<url><loc>https://scifaro.com/en/abs/the-weighted-kendall-and-high-order-kernels-for-permutations-1802.08526</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-weighted-kendall-and-high-order-kernels-for-permutations-1802.08526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-weighted-kendall-and-high-order-kernels-for-permutations-1802.08526"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-training-for-probabilistic-spiking-neural-networks-1802.08567</loc><lastmod>2018-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-training-for-probabilistic-spiking-neural-networks-1802.08567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-training-for-probabilistic-spiking-neural-networks-1802.08567"/></url>
<url><loc>https://scifaro.com/en/abs/learning-weighted-representations-for-generalization-across-designs-1802.08598</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-weighted-representations-for-generalization-across-designs-1802.08598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-weighted-representations-for-generalization-across-designs-1802.08598"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-risk-minimization-under-fairness-constraints-1802.08626</loc><lastmod>2020-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-risk-minimization-under-fairness-constraints-1802.08626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-risk-minimization-under-fairness-constraints-1802.08626"/></url>
<url><loc>https://scifaro.com/en/abs/learning-latent-permutations-with-gumbel-sinkhorn-networks-1802.08665</loc><lastmod>2018-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-latent-permutations-with-gumbel-sinkhorn-networks-1802.08665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-latent-permutations-with-gumbel-sinkhorn-networks-1802.08665"/></url>
<url><loc>https://scifaro.com/en/abs/de-biased-machine-learning-of-global-and-local-parameters-using-regularized-riesz-representers-1802.08667</loc><lastmod>2022-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/de-biased-machine-learning-of-global-and-local-parameters-using-regularized-riesz-representers-1802.08667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/de-biased-machine-learning-of-global-and-local-parameters-using-regularized-riesz-representers-1802.08667"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-abandonment-1802.08718</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-abandonment-1802.08718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-abandonment-1802.08718"/></url>
<url><loc>https://scifaro.com/en/abs/a-dirt-t-approach-to-unsupervised-domain-adaptation-1802.08735</loc><lastmod>2018-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dirt-t-approach-to-unsupervised-domain-adaptation-1802.08735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dirt-t-approach-to-unsupervised-domain-adaptation-1802.08735"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-bandits-with-stochastic-experts-1802.08737</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-bandits-with-stochastic-experts-1802.08737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-bandits-with-stochastic-experts-1802.08737"/></url>
<url><loc>https://scifaro.com/en/abs/sensitivity-and-generalization-in-neural-networks-an-empirical-study-1802.08760</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sensitivity-and-generalization-in-neural-networks-an-empirical-study-1802.08760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sensitivity-and-generalization-in-neural-networks-an-empirical-study-1802.08760"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-maps-meet-nystr-om-1802.08762</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-maps-meet-nystr-om-1802.08762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-maps-meet-nystr-om-1802.08762"/></url>
<url><loc>https://scifaro.com/en/abs/is-generator-conditioning-causally-related-to-gan-performance-1802.08768</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-generator-conditioning-causally-related-to-gan-performance-1802.08768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-generator-conditioning-causally-related-to-gan-performance-1802.08768"/></url>
<url><loc>https://scifaro.com/en/abs/a-walk-with-sgd-1802.08770</loc><lastmod>2018-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-walk-with-sgd-1802.08770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-walk-with-sgd-1802.08770"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-private-learning-with-pate-1802.08908</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-private-learning-with-pate-1802.08908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-private-learning-with-pate-1802.08908"/></url>
<url><loc>https://scifaro.com/en/abs/teacher-improves-learning-by-selecting-a-training-subset-1802.08946</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/teacher-improves-learning-by-selecting-a-training-subset-1802.08946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/teacher-improves-learning-by-selecting-a-training-subset-1802.08946"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-dynamic-bidding-in-truckload-markets-an-application-to-large-scale-fleet-management-with-advance-commitments-1802.08976</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-dynamic-bidding-in-truckload-markets-an-application-to-large-scale-fleet-management-with-advance-commitments-1802.08976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-dynamic-bidding-in-truckload-markets-an-application-to-large-scale-fleet-management-with-advance-commitments-1802.08976"/></url>
<url><loc>https://scifaro.com/en/abs/cakewalk-sampling-1802.09030</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cakewalk-sampling-1802.09030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cakewalk-sampling-1802.09030"/></url>
<url><loc>https://scifaro.com/en/abs/functional-gradient-boosting-based-on-residual-network-perception-1802.09031</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-gradient-boosting-based-on-residual-network-perception-1802.09031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-gradient-boosting-based-on-residual-network-perception-1802.09031"/></url>
<url><loc>https://scifaro.com/en/abs/conditionally-independent-multiresolution-gaussian-processes-1802.09086</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditionally-independent-multiresolution-gaussian-processes-1802.09086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditionally-independent-multiresolution-gaussian-processes-1802.09086"/></url>
<url><loc>https://scifaro.com/en/abs/deep-bayesian-bandits-showdown-an-empirical-comparison-of-bayesian-deep-networks-for-thompson-sampling-1802.09127</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-bayesian-bandits-showdown-an-empirical-comparison-of-bayesian-deep-networks-for-thompson-sampling-1802.09127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-bayesian-bandits-showdown-an-empirical-comparison-of-bayesian-deep-networks-for-thompson-sampling-1802.09127"/></url>
<url><loc>https://scifaro.com/en/abs/a-representer-theorem-for-deep-neural-networks-1802.09210</loc><lastmod>2019-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-representer-theorem-for-deep-neural-networks-1802.09210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-representer-theorem-for-deep-neural-networks-1802.09210"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-kernel-based-variable-selection-with-sparsistency-1802.09246</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-kernel-based-variable-selection-with-sparsistency-1802.09246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-kernel-based-variable-selection-with-sparsistency-1802.09246"/></url>
<url><loc>https://scifaro.com/en/abs/learning-anonymized-representations-with-adversarial-neural-networks-1802.09386</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-anonymized-representations-with-adversarial-neural-networks-1802.09386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-anonymized-representations-with-adversarial-neural-networks-1802.09386"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-the-independently-controllable-factors-of-variation-by-interacting-with-the-world-1802.09484</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-the-independently-controllable-factors-of-variation-by-interacting-with-the-world-1802.09484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-the-independently-controllable-factors-of-variation-by-interacting-with-the-world-1802.09484"/></url>
<url><loc>https://scifaro.com/en/abs/missing-data-in-sparse-transition-matrix-estimation-for-sub-gaussian-vector-autoregressive-processes-1802.09511</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/missing-data-in-sparse-transition-matrix-estimation-for-sub-gaussian-vector-autoregressive-processes-1802.09511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/missing-data-in-sparse-transition-matrix-estimation-for-sub-gaussian-vector-autoregressive-processes-1802.09511"/></url>
<url><loc>https://scifaro.com/en/abs/human-perceptions-of-fairness-in-algorithmic-decision-making-a-case-study-of-criminal-risk-prediction-1802.09548</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-perceptions-of-fairness-in-algorithmic-decision-making-a-case-study-of-criminal-risk-prediction-1802.09548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-perceptions-of-fairness-in-algorithmic-decision-making-a-case-study-of-criminal-risk-prediction-1802.09548"/></url>
<url><loc>https://scifaro.com/en/abs/tunability-importance-of-hyperparameters-of-machine-learning-algorithms-1802.09596</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tunability-importance-of-hyperparameters-of-machine-learning-algorithms-1802.09596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tunability-importance-of-hyperparameters-of-machine-learning-algorithms-1802.09596"/></url>
<url><loc>https://scifaro.com/en/abs/learning-binary-latent-variable-models-a-tensor-eigenpair-approach-1802.09656</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-binary-latent-variable-models-a-tensor-eigenpair-approach-1802.09656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-binary-latent-variable-models-a-tensor-eigenpair-approach-1802.09656"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-enhancing-the-transferability-of-adversarial-examples-1802.09707</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-enhancing-the-transferability-of-adversarial-examples-1802.09707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-enhancing-the-transferability-of-adversarial-examples-1802.09707"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-kernel-losses-1802.09732</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-kernel-losses-1802.09732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-kernel-losses-1802.09732"/></url>
<url><loc>https://scifaro.com/en/abs/train-feedfoward-neural-network-with-layer-wise-adaptive-rate-via-approximating-back-matching-propagation-1802.09750</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/train-feedfoward-neural-network-with-layer-wise-adaptive-rate-via-approximating-back-matching-propagation-1802.09750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/train-feedfoward-neural-network-with-layer-wise-adaptive-rate-via-approximating-back-matching-propagation-1802.09750"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-bidding-with-multi-agent-reinforcement-learning-in-display-advertising-1802.09756</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-bidding-with-multi-agent-reinforcement-learning-in-display-advertising-1802.09756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-bidding-with-multi-agent-reinforcement-learning-in-display-advertising-1802.09756"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-meta-embeddings-for-efficient-scoring-of-a-heavy-tailed-plda-model-1802.09777</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-meta-embeddings-for-efficient-scoring-of-a-heavy-tailed-plda-model-1802.09777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-meta-embeddings-for-efficient-scoring-of-a-heavy-tailed-plda-model-1802.09777"/></url>
<url><loc>https://scifaro.com/en/abs/guaranteed-sufficient-decrease-for-stochastic-variance-reduced-gradient-optimization-1802.09933</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guaranteed-sufficient-decrease-for-stochastic-variance-reduced-gradient-optimization-1802.09933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guaranteed-sufficient-decrease-for-stochastic-variance-reduced-gradient-optimization-1802.09933"/></url>
<url><loc>https://scifaro.com/en/abs/breaking-the-1-sqrt-n-barrier-faster-rates-for-permutation-based-models-in-polynomial-time-1802.09963</loc><lastmod>2018-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breaking-the-1-sqrt-n-barrier-faster-rates-for-permutation-based-models-in-polynomial-time-1802.09963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breaking-the-1-sqrt-n-barrier-faster-rates-for-permutation-based-models-in-polynomial-time-1802.09963"/></url>
<url><loc>https://scifaro.com/en/abs/the-emergence-of-spectral-universality-in-deep-networks-1802.09979</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-emergence-of-spectral-universality-in-deep-networks-1802.09979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-emergence-of-spectral-universality-in-deep-networks-1802.09979"/></url>
<url><loc>https://scifaro.com/en/abs/loss-surfaces-mode-connectivity-and-fast-ensembling-of-dnns-1802.10026</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loss-surfaces-mode-connectivity-and-fast-ensembling-of-dnns-1802.10026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loss-surfaces-mode-connectivity-and-fast-ensembling-of-dnns-1802.10026"/></url>
<url><loc>https://scifaro.com/en/abs/semi-analytic-resampling-in-lasso-1802.10254</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-analytic-resampling-in-lasso-1802.10254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-analytic-resampling-in-lasso-1802.10254"/></url>
<url><loc>https://scifaro.com/en/abs/as-you-like-it-localization-via-paired-comparisons-1802.10489</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/as-you-like-it-localization-via-paired-comparisons-1802.10489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/as-you-like-it-localization-via-paired-comparisons-1802.10489"/></url>
<url><loc>https://scifaro.com/en/abs/learning-discriminative-multilevel-structured-dictionaries-for-supervised-image-classification-1802.10497</loc><lastmod>2018-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-discriminative-multilevel-structured-dictionaries-for-supervised-image-classification-1802.10497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-discriminative-multilevel-structured-dictionaries-for-supervised-image-classification-1802.10497"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-uncertainty-estimation-via-prior-networks-1802.10501</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-uncertainty-estimation-via-prior-networks-1802.10501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-uncertainty-estimation-via-prior-networks-1802.10501"/></url>
<url><loc>https://scifaro.com/en/abs/automated-design-of-collective-variables-using-supervised-machine-learning-1802.10510</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-design-of-collective-variables-using-supervised-machine-learning-1802.10510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-design-of-collective-variables-using-supervised-machine-learning-1802.10510"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-dynamic-programming-heuristics-for-influence-maximization-revenue-optimization-1802.10515</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-dynamic-programming-heuristics-for-influence-maximization-revenue-optimization-1802.10515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-dynamic-programming-heuristics-for-influence-maximization-revenue-optimization-1802.10515"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-r-enyi-and-tsallis-entropies-to-topic-modeling-optimization-1802.10526</loc><lastmod>2018-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-r-enyi-and-tsallis-entropies-to-topic-modeling-optimization-1802.10526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-r-enyi-and-tsallis-entropies-to-topic-modeling-optimization-1802.10526"/></url>
<url><loc>https://scifaro.com/en/abs/memory-based-parameter-adaptation-1802.10542</loc><lastmod>2018-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-based-parameter-adaptation-1802.10542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-based-parameter-adaptation-1802.10542"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-topography-of-high-dimensional-data-sets-by-non-parametric-density-peak-clustering-1802.10549</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-topography-of-high-dimensional-data-sets-by-non-parametric-density-peak-clustering-1802.10549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-topography-of-high-dimensional-data-sets-by-non-parametric-density-peak-clustering-1802.10549"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-activity-tracker-data-using-deep-boltzmann-machines-1802.10576</loc><lastmod>2018-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-activity-tracker-data-using-deep-boltzmann-machines-1802.10576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-activity-tracker-data-using-deep-boltzmann-machines-1802.10576"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-overfit-and-underfit-in-models-of-network-community-structure-1802.10582</loc><lastmod>2020-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-overfit-and-underfit-in-models-of-network-community-structure-1802.10582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-overfit-and-underfit-in-models-of-network-community-structure-1802.10582"/></url>
<url><loc>https://scifaro.com/en/abs/sql-rank-a-listwise-approach-to-collaborative-ranking-1803.00114</loc><lastmod>2019-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sql-rank-a-listwise-approach-to-collaborative-ranking-1803.00114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sql-rank-a-listwise-approach-to-collaborative-ranking-1803.00114"/></url>
<url><loc>https://scifaro.com/en/abs/autoencoding-topology-1803.00156</loc><lastmod>2018-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoencoding-topology-1803.00156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoencoding-topology-1803.00156"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparse-structured-ensembles-with-sg-mcmc-and-network-pruning-1803.00184</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparse-structured-ensembles-with-sg-mcmc-and-network-pruning-1803.00184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparse-structured-ensembles-with-sg-mcmc-and-network-pruning-1803.00184"/></url>
<url><loc>https://scifaro.com/en/abs/smoothed-analysis-for-low-rank-solutions-to-semidefinite-programs-in-quadratic-penalty-form-1803.00186</loc><lastmod>2018-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smoothed-analysis-for-low-rank-solutions-to-semidefinite-programs-in-quadratic-penalty-form-1803.00186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smoothed-analysis-for-low-rank-solutions-to-semidefinite-programs-in-quadratic-penalty-form-1803.00186"/></url>
<url><loc>https://scifaro.com/en/abs/the-anisotropic-noise-in-stochastic-gradient-descent-its-behavior-of-escaping-from-sharp-minima-and-regularization-effects-1803.00195</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-anisotropic-noise-in-stochastic-gradient-descent-its-behavior-of-escaping-from-sharp-minima-and-regularization-effects-1803.00195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-anisotropic-noise-in-stochastic-gradient-descent-its-behavior-of-escaping-from-sharp-minima-and-regularization-effects-1803.00195"/></url>
<url><loc>https://scifaro.com/en/abs/prdeep-robust-phase-retrieval-with-a-flexible-deep-network-1803.00212</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prdeep-robust-phase-retrieval-with-a-flexible-deep-network-1803.00212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prdeep-robust-phase-retrieval-with-a-flexible-deep-network-1803.00212"/></url>
<url><loc>https://scifaro.com/en/abs/interval-based-prediction-uncertainty-bound-computation-in-learning-with-missing-values-1803.00218</loc><lastmod>2018-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interval-based-prediction-uncertainty-bound-computation-in-learning-with-missing-values-1803.00218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interval-based-prediction-uncertainty-bound-computation-in-learning-with-missing-values-1803.00218"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-clustering-and-classification-of-functional-data-1803.00276</loc><lastmod>2018-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-clustering-and-classification-of-functional-data-1803.00276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-clustering-and-classification-of-functional-data-1803.00276"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-multivariate-regression-modeling-for-selecting-biomarkers-under-data-protection-constraints-1803.00422</loc><lastmod>2023-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-multivariate-regression-modeling-for-selecting-biomarkers-under-data-protection-constraints-1803.00422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-multivariate-regression-modeling-for-selecting-biomarkers-under-data-protection-constraints-1803.00422"/></url>
<url><loc>https://scifaro.com/en/abs/the-power-mean-laplacian-for-multilayer-graph-clustering-1803.00491</loc><lastmod>2018-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-power-mean-laplacian-for-multilayer-graph-clustering-1803.00491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-power-mean-laplacian-for-multilayer-graph-clustering-1803.00491"/></url>
<url><loc>https://scifaro.com/en/abs/natural-data-structure-extracted-from-neighborhood-similarity-graphs-1803.00500</loc><lastmod>2019-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/natural-data-structure-extracted-from-neighborhood-similarity-graphs-1803.00500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/natural-data-structure-extracted-from-neighborhood-similarity-graphs-1803.00500"/></url>
<url><loc>https://scifaro.com/en/abs/understand-functionality-and-dimensionality-of-vector-embeddings-the-distributional-hypothesis-the-pairwise-inner-product-loss-and-its-bias-variance-trade-off-1803.00502</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understand-functionality-and-dimensionality-of-vector-embeddings-the-distributional-hypothesis-the-pairwise-inner-product-loss-and-its-bias-variance-trade-off-1803.00502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understand-functionality-and-dimensionality-of-vector-embeddings-the-distributional-hypothesis-the-pairwise-inner-product-loss-and-its-bias-variance-trade-off-1803.00502"/></url>
<url><loc>https://scifaro.com/en/abs/computational-optimal-transport-1803.00567</loc><lastmod>2020-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computational-optimal-transport-1803.00567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computational-optimal-transport-1803.00567"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-embedding-approaches-to-orbit-determination-of-spacecraft-clusters-1803.00650</loc><lastmod>2018-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-embedding-approaches-to-orbit-determination-of-spacecraft-clusters-1803.00650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-embedding-approaches-to-orbit-determination-of-spacecraft-clusters-1803.00650"/></url>
<url><loc>https://scifaro.com/en/abs/matrices-with-gaussian-noise-optimal-estimates-for-singular-subspace-perturbation-1803.00679</loc><lastmod>2024-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrices-with-gaussian-noise-optimal-estimates-for-singular-subspace-perturbation-1803.00679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrices-with-gaussian-noise-optimal-estimates-for-singular-subspace-perturbation-1803.00679"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-non-causal-artifacts-in-multivariate-linear-regression-models-1803.00810</loc><lastmod>2018-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-non-causal-artifacts-in-multivariate-linear-regression-models-1803.00810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-non-causal-artifacts-in-multivariate-linear-regression-models-1803.00810"/></url>
<url><loc>https://scifaro.com/en/abs/netgan-generating-graphs-via-random-walks-1803.00816</loc><lastmod>2019-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/netgan-generating-graphs-via-random-walks-1803.00816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/netgan-generating-graphs-via-random-walks-1803.00816"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-based-sampling-an-adaptive-importance-sampling-for-least-squares-1803.00841</loc><lastmod>2018-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-based-sampling-an-adaptive-importance-sampling-for-least-squares-1803.00841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-based-sampling-an-adaptive-importance-sampling-for-least-squares-1803.00841"/></url>
<url><loc>https://scifaro.com/en/abs/essentially-no-barriers-in-neural-network-energy-landscape-1803.00885</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/essentially-no-barriers-in-neural-network-energy-landscape-1803.00885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/essentially-no-barriers-in-neural-network-energy-landscape-1803.00885"/></url>
<url><loc>https://scifaro.com/en/abs/label-sanitization-against-label-flipping-poisoning-attacks-1803.00992</loc><lastmod>2018-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-sanitization-against-label-flipping-poisoning-attacks-1803.00992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-sanitization-against-label-flipping-poisoning-attacks-1803.00992"/></url>
<url><loc>https://scifaro.com/en/abs/building-a-telescope-to-look-into-high-dimensional-image-spaces-1803.01043</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-a-telescope-to-look-into-high-dimensional-image-spaces-1803.01043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-a-telescope-to-look-into-high-dimensional-image-spaces-1803.01043"/></url>
<url><loc>https://scifaro.com/en/abs/slow-and-stale-gradients-can-win-the-race-error-runtime-trade-offs-in-distributed-sgd-1803.01113</loc><lastmod>2018-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/slow-and-stale-gradients-can-win-the-race-error-runtime-trade-offs-in-distributed-sgd-1803.01113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/slow-and-stale-gradients-can-win-the-race-error-runtime-trade-offs-in-distributed-sgd-1803.01113"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-sample-efficient-inductive-matrix-completion-via-multi-phase-procrustes-flow-1803.01233</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-sample-efficient-inductive-matrix-completion-via-multi-phase-procrustes-flow-1803.01233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-sample-efficient-inductive-matrix-completion-via-multi-phase-procrustes-flow-1803.01233"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-nonparametric-regression-under-communication-constraints-1803.01302</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-nonparametric-regression-under-communication-constraints-1803.01302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-nonparametric-regression-under-communication-constraints-1803.01302"/></url>
<url><loc>https://scifaro.com/en/abs/whai-weibull-hybrid-autoencoding-inference-for-deep-topic-modeling-1803.01328</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/whai-weibull-hybrid-autoencoding-inference-for-deep-topic-modeling-1803.01328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/whai-weibull-hybrid-autoencoding-inference-for-deep-topic-modeling-1803.01328"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-stochastic-algorithms-for-entropy-regularized-optimal-transport-problems-1803.01347</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-stochastic-algorithms-for-entropy-regularized-optimal-transport-problems-1803.01347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-stochastic-algorithms-for-entropy-regularized-optimal-transport-problems-1803.01347"/></url>
<url><loc>https://scifaro.com/en/abs/dags-with-no-tears-continuous-optimization-for-structure-learning-1803.01422</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dags-with-no-tears-continuous-optimization-for-structure-learning-1803.01422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dags-with-no-tears-continuous-optimization-for-structure-learning-1803.01422"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-modeling-and-shrinkage-for-user-session-length-prediction-in-media-streaming-1803.01440</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-modeling-and-shrinkage-for-user-session-length-prediction-in-media-streaming-1803.01440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-modeling-and-shrinkage-for-user-session-length-prediction-in-media-streaming-1803.01440"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-predictive-state-policy-networks-1803.01489</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-predictive-state-policy-networks-1803.01489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-predictive-state-policy-networks-1803.01489"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-extreme-multi-label-classification-1803.01570</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-extreme-multi-label-classification-1803.01570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-extreme-multi-label-classification-1803.01570"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-study-of-pairwise-learning-methods-based-on-kernel-ridge-regression-1803.01575</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-study-of-pairwise-learning-methods-based-on-kernel-ridge-regression-1803.01575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-study-of-pairwise-learning-methods-based-on-kernel-ridge-regression-1803.01575"/></url>
<url><loc>https://scifaro.com/en/abs/variance-aware-regret-bounds-for-undiscounted-reinforcement-learning-in-mdps-1803.01626</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-aware-regret-bounds-for-undiscounted-reinforcement-learning-in-mdps-1803.01626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-aware-regret-bounds-for-undiscounted-reinforcement-learning-in-mdps-1803.01626"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-greedy-ranking-slate-optimization-via-list-cvae-1803.01682</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-greedy-ranking-slate-optimization-via-list-cvae-1803.01682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-greedy-ranking-slate-optimization-via-list-cvae-1803.01682"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-start-training-the-effect-of-initialization-and-architecture-1803.01719</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-start-training-the-effect-of-initialization-and-architecture-1803.01719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-start-training-the-effect-of-initialization-and-architecture-1803.01719"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-submodular-maximization-1803.01785</loc><lastmod>2018-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-submodular-maximization-1803.01785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-submodular-maximization-1803.01785"/></url>
<url><loc>https://scifaro.com/en/abs/norm-matters-efficient-and-accurate-normalization-schemes-in-deep-networks-1803.01814</loc><lastmod>2019-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/norm-matters-efficient-and-accurate-normalization-schemes-in-deep-networks-1803.01814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/norm-matters-efficient-and-accurate-normalization-schemes-in-deep-networks-1803.01814"/></url>
<url><loc>https://scifaro.com/en/abs/marginal-singularity-and-the-benefits-of-labels-in-covariate-shift-1803.01833</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marginal-singularity-and-the-benefits-of-labels-in-covariate-shift-1803.01833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marginal-singularity-and-the-benefits-of-labels-in-covariate-shift-1803.01833"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-gradient-descent-on-separable-data-1803.01905</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-gradient-descent-on-separable-data-1803.01905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-gradient-descent-on-separable-data-1803.01905"/></url>
<url><loc>https://scifaro.com/en/abs/an-online-algorithm-for-learning-buyer-behavior-under-realistic-pricing-restrictions-1803.01968</loc><lastmod>2018-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-online-algorithm-for-learning-buyer-behavior-under-realistic-pricing-restrictions-1803.01968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-online-algorithm-for-learning-buyer-behavior-under-realistic-pricing-restrictions-1803.01968"/></url>
<url><loc>https://scifaro.com/en/abs/learning-filter-bank-sparsifying-transforms-1803.01980</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-filter-bank-sparsifying-transforms-1803.01980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-filter-bank-sparsifying-transforms-1803.01980"/></url>
<url><loc>https://scifaro.com/en/abs/john-s-walk-1803.02032</loc><lastmod>2020-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/john-s-walk-1803.02032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/john-s-walk-1803.02032"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-gradient-boosting-1803.02042</loc><lastmod>2018-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-gradient-boosting-1803.02042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-gradient-boosting-1803.02042"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-convolutional-neural-network-protein-ligand-scoring-1803.02398</loc><lastmod>2020-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-convolutional-neural-network-protein-ligand-scoring-1803.02398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-convolutional-neural-network-protein-ligand-scoring-1803.02398"/></url>
<url><loc>https://scifaro.com/en/abs/masked-conditional-neural-networks-for-audio-classification-1803.02421</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/masked-conditional-neural-networks-for-audio-classification-1803.02421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/masked-conditional-neural-networks-for-audio-classification-1803.02421"/></url>
<url><loc>https://scifaro.com/en/abs/matched-filters-for-noisy-induced-subgraph-detection-1803.02423</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matched-filters-for-noisy-induced-subgraph-detection-1803.02423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matched-filters-for-noisy-induced-subgraph-detection-1803.02423"/></url>
<url><loc>https://scifaro.com/en/abs/on-nonlinear-dimensionality-reduction-linear-smoothing-and-autoencoding-1803.02432</loc><lastmod>2018-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-nonlinear-dimensionality-reduction-linear-smoothing-and-autoencoding-1803.02432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-nonlinear-dimensionality-reduction-linear-smoothing-and-autoencoding-1803.02432"/></url>
<url><loc>https://scifaro.com/en/abs/an-application-of-hodgerank-to-online-peer-assessment-1803.02509</loc><lastmod>2018-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-application-of-hodgerank-to-online-peer-assessment-1803.02509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-application-of-hodgerank-to-online-peer-assessment-1803.02509"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-maximum-margin-classifiers-for-partially-labeled-data-1803.02517</loc><lastmod>2018-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-maximum-margin-classifiers-for-partially-labeled-data-1803.02517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-maximum-margin-classifiers-for-partially-labeled-data-1803.02517"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-differentially-private-linear-regression-optimal-and-adaptive-prediction-estimation-in-unbounded-domain-1803.02596</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-differentially-private-linear-regression-optimal-and-adaptive-prediction-estimation-in-unbounded-domain-1803.02596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-differentially-private-linear-regression-optimal-and-adaptive-prediction-estimation-in-unbounded-domain-1803.02596"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-latent-variable-alignment-learning-1803.02603</loc><lastmod>2019-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-latent-variable-alignment-learning-1803.02603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-latent-variable-alignment-learning-1803.02603"/></url>
<url><loc>https://scifaro.com/en/abs/fast-dawid-skene-a-fast-vote-aggregation-scheme-for-sentiment-classification-1803.02781</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-dawid-skene-a-fast-vote-aggregation-scheme-for-sentiment-classification-1803.02781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-dawid-skene-a-fast-vote-aggregation-scheme-for-sentiment-classification-1803.02781"/></url>
<url><loc>https://scifaro.com/en/abs/a-bag-to-class-divergence-approach-to-multiple-instance-learning-1803.02782</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bag-to-class-divergence-approach-to-multiple-instance-learning-1803.02782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bag-to-class-divergence-approach-to-multiple-instance-learning-1803.02782"/></url>
<url><loc>https://scifaro.com/en/abs/wngrad-learn-the-learning-rate-in-gradient-descent-1803.02865</loc><lastmod>2020-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wngrad-learn-the-learning-rate-in-gradient-descent-1803.02865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wngrad-learn-the-learning-rate-in-gradient-descent-1803.02865"/></url>
<url><loc>https://scifaro.com/en/abs/deep-models-of-interactions-across-sets-1803.02879</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-models-of-interactions-across-sets-1803.02879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-models-of-interactions-across-sets-1803.02879"/></url>
<url><loc>https://scifaro.com/en/abs/fast-convergence-for-stochastic-and-distributed-gradient-descent-in-the-interpolation-limit-1803.02922</loc><lastmod>2018-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-convergence-for-stochastic-and-distributed-gradient-descent-in-the-interpolation-limit-1803.02922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-convergence-for-stochastic-and-distributed-gradient-descent-in-the-interpolation-limit-1803.02922"/></url>
<url><loc>https://scifaro.com/en/abs/aggregation-using-input-output-trade-off-1803.03166</loc><lastmod>2018-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aggregation-using-input-output-trade-off-1803.03166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aggregation-using-input-output-trade-off-1803.03166"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-and-machine-learning-approach-to-estimating-influence-model-parameters-for-im-ro-1803.03191</loc><lastmod>2018-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-and-machine-learning-approach-to-estimating-influence-model-parameters-for-im-ro-1803.03191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-and-machine-learning-approach-to-estimating-influence-model-parameters-for-im-ro-1803.03191"/></url>
<url><loc>https://scifaro.com/en/abs/improving-optimization-for-models-with-continuous-symmetry-breaking-1803.03234</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-optimization-for-models-with-continuous-symmetry-breaking-1803.03234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-optimization-for-models-with-continuous-symmetry-breaking-1803.03234"/></url>
<url><loc>https://scifaro.com/en/abs/joint-estimation-and-inference-for-data-integration-problems-based-on-multiple-multi-layered-gaussian-graphical-models-1803.03348</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-estimation-and-inference-for-data-integration-problems-based-on-multiple-multi-layered-gaussian-graphical-models-1803.03348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-estimation-and-inference-for-data-integration-problems-based-on-multiple-multi-layered-gaussian-graphical-models-1803.03348"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-for-dynamic-problems-1803.03432</loc><lastmod>2018-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-for-dynamic-problems-1803.03432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-for-dynamic-problems-1803.03432"/></url>
<url><loc>https://scifaro.com/en/abs/hourly-similarity-based-solar-forecasting-using-multi-model-machine-learning-blending-1803.03623</loc><lastmod>2018-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hourly-similarity-based-solar-forecasting-using-multi-model-machine-learning-blending-1803.03623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hourly-similarity-based-solar-forecasting-using-multi-model-machine-learning-blending-1803.03623"/></url>
<url><loc>https://scifaro.com/en/abs/standing-wave-decomposition-gaussian-process-1803.03666</loc><lastmod>2018-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/standing-wave-decomposition-gaussian-process-1803.03666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/standing-wave-decomposition-gaussian-process-1803.03666"/></url>
<url><loc>https://scifaro.com/en/abs/provably-robust-estimation-of-modulo-1-samples-of-a-smooth-function-with-applications-to-phase-unwrapping-1803.03669</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-robust-estimation-of-modulo-1-samples-of-a-smooth-function-with-applications-to-phase-unwrapping-1803.03669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-robust-estimation-of-modulo-1-samples-of-a-smooth-function-with-applications-to-phase-unwrapping-1803.03669"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-risk-assessment-and-density-estimation-for-persistence-landscapes-1803.03677</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-risk-assessment-and-density-estimation-for-persistence-landscapes-1803.03677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-risk-assessment-and-density-estimation-for-persistence-landscapes-1803.03677"/></url>
<url><loc>https://scifaro.com/en/abs/attention-based-graph-neural-network-for-semi-supervised-learning-1803.03735</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-based-graph-neural-network-for-semi-supervised-learning-1803.03735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-based-graph-neural-network-for-semi-supervised-learning-1803.03735"/></url>
<url><loc>https://scifaro.com/en/abs/influence-of-the-event-rate-on-discrimination-abilities-of-bankruptcy-prediction-models-1803.03756</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/influence-of-the-event-rate-on-discrimination-abilities-of-bankruptcy-prediction-models-1803.03756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/influence-of-the-event-rate-on-discrimination-abilities-of-bankruptcy-prediction-models-1803.03756"/></url>
<url><loc>https://scifaro.com/en/abs/speech-recognition-keyword-spotting-through-image-recognition-1803.03759</loc><lastmod>2020-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/speech-recognition-keyword-spotting-through-image-recognition-1803.03759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/speech-recognition-keyword-spotting-through-image-recognition-1803.03759"/></url>
<url><loc>https://scifaro.com/en/abs/variance-networks-when-expectation-does-not-meet-your-expectations-1803.03764</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-networks-when-expectation-does-not-meet-your-expectations-1803.03764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-networks-when-expectation-does-not-meet-your-expectations-1803.03764"/></url>
<url><loc>https://scifaro.com/en/abs/a-minimax-surrogate-loss-approach-to-conditional-difference-estimation-1803.03769</loc><lastmod>2018-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-minimax-surrogate-loss-approach-to-conditional-difference-estimation-1803.03769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-minimax-surrogate-loss-approach-to-conditional-difference-estimation-1803.03769"/></url>
<url><loc>https://scifaro.com/en/abs/on-dynamic-ensemble-selection-and-data-preprocessing-for-multi-class-imbalance-learning-1803.03877</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-dynamic-ensemble-selection-and-data-preprocessing-for-multi-class-imbalance-learning-1803.03877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-dynamic-ensemble-selection-and-data-preprocessing-for-multi-class-imbalance-learning-1803.03877"/></url>
<url><loc>https://scifaro.com/en/abs/combating-adversarial-attacks-using-sparse-representations-1803.03880</loc><lastmod>2018-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combating-adversarial-attacks-using-sparse-representations-1803.03880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combating-adversarial-attacks-using-sparse-representations-1803.03880"/></url>
<url><loc>https://scifaro.com/en/abs/a-pathway-based-kernel-boosting-method-for-sample-classification-using-genomic-data-1803.03910</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-pathway-based-kernel-boosting-method-for-sample-classification-using-genomic-data-1803.03910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-pathway-based-kernel-boosting-method-for-sample-classification-using-genomic-data-1803.03910"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-nonlinear-causality-in-multivariate-time-series-with-sparse-additive-models-1803.03919</loc><lastmod>2018-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-nonlinear-causality-in-multivariate-time-series-with-sparse-additive-models-1803.03919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-nonlinear-causality-in-multivariate-time-series-with-sparse-additive-models-1803.03919"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-bounds-for-functions-with-weak-interactions-1803.03934</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-bounds-for-functions-with-weak-interactions-1803.03934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-bounds-for-functions-with-weak-interactions-1803.03934"/></url>
<url><loc>https://scifaro.com/en/abs/multi-objective-contextual-bandit-problem-with-similarity-information-1803.04015</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-objective-contextual-bandit-problem-with-similarity-information-1803.04015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-objective-contextual-bandit-problem-with-similarity-information-1803.04015"/></url>
<url><loc>https://scifaro.com/en/abs/r3net-random-weights-rectifier-linear-units-and-robustness-for-artificial-neural-network-1803.04186</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/r3net-random-weights-rectifier-linear-units-and-robustness-for-artificial-neural-network-1803.04186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/r3net-random-weights-rectifier-linear-units-and-robustness-for-artificial-neural-network-1803.04186"/></url>
<url><loc>https://scifaro.com/en/abs/extreme-learning-machine-for-graph-signal-processing-1803.04193</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extreme-learning-machine-for-graph-signal-processing-1803.04193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extreme-learning-machine-for-graph-signal-processing-1803.04193"/></url>
<url><loc>https://scifaro.com/en/abs/multi-kernel-regression-for-graph-signal-processing-1803.04196</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-kernel-regression-for-graph-signal-processing-1803.04196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-kernel-regression-for-graph-signal-processing-1803.04196"/></url>
<url><loc>https://scifaro.com/en/abs/semiparametric-contextual-bandits-1803.04204</loc><lastmod>2018-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semiparametric-contextual-bandits-1803.04204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semiparametric-contextual-bandits-1803.04204"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-for-gaussian-process-with-panel-count-data-1803.04232</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-for-gaussian-process-with-panel-count-data-1803.04232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-for-gaussian-process-with-panel-count-data-1803.04232"/></url>
<url><loc>https://scifaro.com/en/abs/learning-unknown-ode-models-with-gaussian-processes-1803.04303</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-unknown-ode-models-with-gaussian-processes-1803.04303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-unknown-ode-models-with-gaussian-processes-1803.04303"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-and-recovery-in-the-relu-model-1803.04304</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-and-recovery-in-the-relu-model-1803.04304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-and-recovery-in-the-relu-model-1803.04304"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-rates-of-sketched-regularized-algorithms-for-least-squares-regression-over-hilbert-spaces-1803.04371</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-rates-of-sketched-regularized-algorithms-for-least-squares-regression-over-hilbert-spaces-1803.04371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-rates-of-sketched-regularized-algorithms-for-least-squares-regression-over-hilbert-spaces-1803.04371"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-algorithms-for-learning-high-dimensional-linear-mixed-models-1803.04431</loc><lastmod>2019-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-algorithms-for-learning-high-dimensional-linear-mixed-models-1803.04431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-algorithms-for-learning-high-dimensional-linear-mixed-models-1803.04431"/></url>
<url><loc>https://scifaro.com/en/abs/accuracy-reliability-cost-function-for-empirical-variance-estimation-1803.04475</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accuracy-reliability-cost-function-for-empirical-variance-estimation-1803.04475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accuracy-reliability-cost-function-for-empirical-variance-estimation-1803.04475"/></url>
<url><loc>https://scifaro.com/en/abs/bridge-type-classification-supervised-learning-on-a-modified-nbi-dataset-1803.04478</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridge-type-classification-supervised-learning-on-a-modified-nbi-dataset-1803.04478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridge-type-classification-supervised-learning-on-a-modified-nbi-dataset-1803.04478"/></url>
<url><loc>https://scifaro.com/en/abs/simulation-and-calibration-of-a-fully-bayesian-marked-multidimensional-hawkes-process-with-dissimilar-decays-1803.04654</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulation-and-calibration-of-a-fully-bayesian-marked-multidimensional-hawkes-process-with-dissimilar-decays-1803.04654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulation-and-calibration-of-a-fully-bayesian-marked-multidimensional-hawkes-process-with-dissimilar-decays-1803.04654"/></url>
<url><loc>https://scifaro.com/en/abs/binary-matrix-completion-using-unobserved-entries-1803.04663</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-matrix-completion-using-unobserved-entries-1803.04663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-matrix-completion-using-unobserved-entries-1803.04663"/></url>
<url><loc>https://scifaro.com/en/abs/pure-exploration-in-infinitely-armed-bandit-models-with-fixed-confidence-1803.04665</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pure-exploration-in-infinitely-armed-bandit-models-with-fixed-confidence-1803.04665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pure-exploration-in-infinitely-armed-bandit-models-with-fixed-confidence-1803.04665"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-transport-for-multi-source-domain-adaptation-under-target-shift-1803.04899</loc><lastmod>2019-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-transport-for-multi-source-domain-adaptation-under-target-shift-1803.04899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-transport-for-multi-source-domain-adaptation-under-target-shift-1803.04899"/></url>
<url><loc>https://scifaro.com/en/abs/dense-limit-of-the-dawid-skene-model-for-crowdsourcing-and-regions-of-sub-optimality-of-message-passing-algorithms-1803.04924</loc><lastmod>2020-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dense-limit-of-the-dawid-skene-model-for-crowdsourcing-and-regions-of-sub-optimality-of-message-passing-algorithms-1803.04924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dense-limit-of-the-dawid-skene-model-for-crowdsourcing-and-regions-of-sub-optimality-of-message-passing-algorithms-1803.04924"/></url>
<url><loc>https://scifaro.com/en/abs/structural-agnostic-modeling-adversarial-learning-of-causal-graphs-1803.04929</loc><lastmod>2022-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structural-agnostic-modeling-adversarial-learning-of-causal-graphs-1803.04929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structural-agnostic-modeling-adversarial-learning-of-causal-graphs-1803.04929"/></url>
<url><loc>https://scifaro.com/en/abs/coregionalised-locomotion-envelopes-a-qualitative-approach-1803.04965</loc><lastmod>2018-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coregionalised-locomotion-envelopes-a-qualitative-approach-1803.04965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coregionalised-locomotion-envelopes-a-qualitative-approach-1803.04965"/></url>
<url><loc>https://scifaro.com/en/abs/variational-zero-inflated-gaussian-processes-with-sparse-kernels-1803.05036</loc><lastmod>2018-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-zero-inflated-gaussian-processes-with-sparse-kernels-1803.05036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-zero-inflated-gaussian-processes-with-sparse-kernels-1803.05036"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-nonautonomous-adversarial-systems-1803.05045</loc><lastmod>2018-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-nonautonomous-adversarial-systems-1803.05045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-nonautonomous-adversarial-systems-1803.05045"/></url>
<url><loc>https://scifaro.com/en/abs/bucket-renormalization-for-approximate-inference-1803.05104</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bucket-renormalization-for-approximate-inference-1803.05104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bucket-renormalization-for-approximate-inference-1803.05104"/></url>
<url><loc>https://scifaro.com/en/abs/uplift-modeling-from-separate-labels-1803.05112</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uplift-modeling-from-separate-labels-1803.05112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uplift-modeling-from-separate-labels-1803.05112"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adaptation-on-graphs-by-learning-aligned-graph-bases-1803.05288</loc><lastmod>2020-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adaptation-on-graphs-by-learning-aligned-graph-bases-1803.05288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adaptation-on-graphs-by-learning-aligned-graph-bases-1803.05288"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-oral-disintegrating-tablet-formulations-by-neural-network-techniques-1803.05339</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-oral-disintegrating-tablet-formulations-by-neural-network-techniques-1803.05339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-oral-disintegrating-tablet-formulations-by-neural-network-techniques-1803.05339"/></url>
<url><loc>https://scifaro.com/en/abs/redundancy-techniques-for-straggler-mitigation-in-distributed-optimization-and-learning-1803.05397</loc><lastmod>2018-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/redundancy-techniques-for-straggler-mitigation-in-distributed-optimization-and-learning-1803.05397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/redundancy-techniques-for-straggler-mitigation-in-distributed-optimization-and-learning-1803.05397"/></url>
<url><loc>https://scifaro.com/en/abs/generalised-structural-cnns-scnns-for-time-series-data-with-arbitrary-graph-topology-1803.05419</loc><lastmod>2018-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalised-structural-cnns-scnns-for-time-series-data-with-arbitrary-graph-topology-1803.05419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalised-structural-cnns-scnns-for-time-series-data-with-arbitrary-graph-topology-1803.05419"/></url>
<url><loc>https://scifaro.com/en/abs/variational-message-passing-with-structured-inference-networks-1803.05589</loc><lastmod>2018-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-message-passing-with-structured-inference-networks-1803.05589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-message-passing-with-structured-inference-networks-1803.05589"/></url>
<url><loc>https://scifaro.com/en/abs/large-margin-deep-networks-for-classification-1803.05598</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-margin-deep-networks-for-classification-1803.05598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-margin-deep-networks-for-classification-1803.05598"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-scope-for-distributed-sparse-learning-better-data-partition-implies-faster-convergence-rate-1803.05621</loc><lastmod>2018-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-scope-for-distributed-sparse-learning-better-data-partition-implies-faster-convergence-rate-1803.05621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-scope-for-distributed-sparse-learning-better-data-partition-implies-faster-convergence-rate-1803.05621"/></url>
<url><loc>https://scifaro.com/en/abs/sylvester-normalizing-flows-for-variational-inference-1803.05649</loc><lastmod>2019-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sylvester-normalizing-flows-for-variational-inference-1803.05649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sylvester-normalizing-flows-for-variational-inference-1803.05649"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-processes-over-graphs-1803.05776</loc><lastmod>2018-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-processes-over-graphs-1803.05776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-processes-over-graphs-1803.05776"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-optimal-rates-for-mondrian-trees-and-forests-1803.05784</loc><lastmod>2019-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-optimal-rates-for-mondrian-trees-and-forests-1803.05784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-optimal-rates-for-mondrian-trees-and-forests-1803.05784"/></url>
<url><loc>https://scifaro.com/en/abs/deep-architectures-for-learning-context-dependent-ranking-functions-1803.05796</loc><lastmod>2018-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-architectures-for-learning-context-dependent-ranking-functions-1803.05796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-architectures-for-learning-context-dependent-ranking-functions-1803.05796"/></url>
<url><loc>https://scifaro.com/en/abs/capturing-structure-implicitly-from-time-series-having-limited-data-1803.05867</loc><lastmod>2018-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/capturing-structure-implicitly-from-time-series-having-limited-data-1803.05867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/capturing-structure-implicitly-from-time-series-having-limited-data-1803.05867"/></url>
<url><loc>https://scifaro.com/en/abs/deep-choice-model-using-pointer-networks-for-airline-itinerary-prediction-1803.05976</loc><lastmod>2018-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-choice-model-using-pointer-networks-for-airline-itinerary-prediction-1803.05976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-choice-model-using-pointer-networks-for-airline-itinerary-prediction-1803.05976"/></url>
<url><loc>https://scifaro.com/en/abs/eeg-machine-learning-with-higuchi-fractal-dimension-and-sample-entropy-as-features-for-successful-detection-of-depression-1803.05985</loc><lastmod>2020-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eeg-machine-learning-with-higuchi-fractal-dimension-and-sample-entropy-as-features-for-successful-detection-of-depression-1803.05985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eeg-machine-learning-with-higuchi-fractal-dimension-and-sample-entropy-as-features-for-successful-detection-of-depression-1803.05985"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-lactate-threshold-with-machine-learning-techniques-in-recreational-runners-1803.06030</loc><lastmod>2018-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-lactate-threshold-with-machine-learning-techniques-in-recreational-runners-1803.06030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-lactate-threshold-with-machine-learning-techniques-in-recreational-runners-1803.06030"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-sparsity-heterogeneity-reciprocity-and-community-structure-in-temporal-interaction-data-1803.06070</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-sparsity-heterogeneity-reciprocity-and-community-structure-in-temporal-interaction-data-1803.06070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-sparsity-heterogeneity-reciprocity-and-community-structure-in-temporal-interaction-data-1803.06070"/></url>
<url><loc>https://scifaro.com/en/abs/vulnerability-of-deep-learning-1803.06111</loc><lastmod>2018-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vulnerability-of-deep-learning-1803.06111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vulnerability-of-deep-learning-1803.06111"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-processes-indexed-on-the-symmetric-group-prediction-and-learning-1803.06118</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-processes-indexed-on-the-symmetric-group-prediction-and-learning-1803.06118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-processes-indexed-on-the-symmetric-group-prediction-and-learning-1803.06118"/></url>
<url><loc>https://scifaro.com/en/abs/a-particle-based-variational-approach-to-bayesian-non-negative-matrix-factorization-1803.06321</loc><lastmod>2018-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-particle-based-variational-approach-to-bayesian-non-negative-matrix-factorization-1803.06321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-particle-based-variational-approach-to-bayesian-non-negative-matrix-factorization-1803.06321"/></url>
<url><loc>https://scifaro.com/en/abs/nesting-probabilistic-programs-1803.06328</loc><lastmod>2018-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nesting-probabilistic-programs-1803.06328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nesting-probabilistic-programs-1803.06328"/></url>
<url><loc>https://scifaro.com/en/abs/hidden-integrality-and-semi-random-robustness-of-sdp-relaxation-for-sub-gaussian-mixture-model-1803.06510</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hidden-integrality-and-semi-random-robustness-of-sdp-relaxation-for-sub-gaussian-mixture-model-1803.06510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hidden-integrality-and-semi-random-robustness-of-sdp-relaxation-for-sub-gaussian-mixture-model-1803.06510"/></url>
<url><loc>https://scifaro.com/en/abs/confounder-detection-in-high-dimensional-linear-models-using-first-moments-of-spectral-measures-1803.06852</loc><lastmod>2018-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confounder-detection-in-high-dimensional-linear-models-using-first-moments-of-spectral-measures-1803.06852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confounder-detection-in-high-dimensional-linear-models-using-first-moments-of-spectral-measures-1803.06852"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-importance-of-single-directions-for-generalization-1803.06959</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-importance-of-single-directions-for-generalization-1803.06959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-importance-of-single-directions-for-generalization-1803.06959"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-dynamics-deep-neural-networks-versus-glassy-systems-1803.06969</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-dynamics-deep-neural-networks-versus-glassy-systems-1803.06969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-dynamics-deep-neural-networks-versus-glassy-systems-1803.06969"/></url>
<url><loc>https://scifaro.com/en/abs/what-doubling-tricks-can-and-can-t-do-for-multi-armed-bandits-1803.06971</loc><lastmod>2018-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-doubling-tricks-can-and-can-t-do-for-multi-armed-bandits-1803.06971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-doubling-tricks-can-and-can-t-do-for-multi-armed-bandits-1803.06971"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-the-intrinsic-dimension-of-datasets-by-a-minimal-neighborhood-information-1803.06992</loc><lastmod>2018-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-the-intrinsic-dimension-of-datasets-by-a-minimal-neighborhood-information-1803.06992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-the-intrinsic-dimension-of-datasets-by-a-minimal-neighborhood-information-1803.06992"/></url>
<url><loc>https://scifaro.com/en/abs/learning-non-gaussian-time-series-using-the-box-cox-gaussian-process-1803.07102</loc><lastmod>2018-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-non-gaussian-time-series-using-the-box-cox-gaussian-process-1803.07102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-non-gaussian-time-series-using-the-box-cox-gaussian-process-1803.07102"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-reduced-rank-regression-with-nonconvex-regularization-1803.07247</loc><lastmod>2018-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-reduced-rank-regression-with-nonconvex-regularization-1803.07247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-reduced-rank-regression-with-nonconvex-regularization-1803.07247"/></url>
<url><loc>https://scifaro.com/en/abs/removing-confounding-factors-associated-weights-in-deep-neural-networks-improves-the-prediction-accuracy-for-healthcare-applications-1803.07276</loc><lastmod>2018-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/removing-confounding-factors-associated-weights-in-deep-neural-networks-improves-the-prediction-accuracy-for-healthcare-applications-1803.07276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/removing-confounding-factors-associated-weights-in-deep-neural-networks-improves-the-prediction-accuracy-for-healthcare-applications-1803.07276"/></url>
<url><loc>https://scifaro.com/en/abs/meta-reinforcement-learning-with-latent-variable-gaussian-processes-1803.07551</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-reinforcement-learning-with-latent-variable-gaussian-processes-1803.07551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-reinforcement-learning-with-latent-variable-gaussian-processes-1803.07551"/></url>
<url><loc>https://scifaro.com/en/abs/leave-one-out-approach-for-matrix-completion-primal-and-dual-analysis-1803.07554</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leave-one-out-approach-for-matrix-completion-primal-and-dual-analysis-1803.07554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leave-one-out-approach-for-matrix-completion-primal-and-dual-analysis-1803.07554"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adaptation-with-randomized-expectation-maximization-1803.07634</loc><lastmod>2018-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adaptation-with-randomized-expectation-maximization-1803.07634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adaptation-with-randomized-expectation-maximization-1803.07634"/></url>
<url><loc>https://scifaro.com/en/abs/graph-based-regularization-for-regression-problems-with-alignment-and-highly-correlated-designs-1803.07658</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-based-regularization-for-regression-problems-with-alignment-and-highly-correlated-designs-1803.07658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-based-regularization-for-regression-problems-with-alignment-and-highly-correlated-designs-1803.07658"/></url>
<url><loc>https://scifaro.com/en/abs/product-characterisation-towards-personalisation-learning-attributes-from-unstructured-data-to-recommend-fashion-products-1803.07679</loc><lastmod>2018-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/product-characterisation-towards-personalisation-learning-attributes-from-unstructured-data-to-recommend-fashion-products-1803.07679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/product-characterisation-towards-personalisation-learning-attributes-from-unstructured-data-to-recommend-fashion-products-1803.07679"/></url>
<url><loc>https://scifaro.com/en/abs/causal-inference-on-discrete-data-via-estimating-distance-correlations-1803.07712</loc><lastmod>2018-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-inference-on-discrete-data-via-estimating-distance-correlations-1803.07712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-inference-on-discrete-data-via-estimating-distance-correlations-1803.07712"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-with-random-initialization-fast-global-convergence-for-nonconvex-phase-retrieval-1803.07726</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-with-random-initialization-fast-global-convergence-for-nonconvex-phase-retrieval-1803.07726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-with-random-initialization-fast-global-convergence-for-nonconvex-phase-retrieval-1803.07726"/></url>
<url><loc>https://scifaro.com/en/abs/some-theoretical-properties-of-gans-1803.07819</loc><lastmod>2018-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/some-theoretical-properties-of-gans-1803.07819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/some-theoretical-properties-of-gans-1803.07819"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-sampling-and-structure-learning-of-bayesian-networks-1803.07859</loc><lastmod>2022-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-sampling-and-structure-learning-of-bayesian-networks-1803.07859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-sampling-and-structure-learning-of-bayesian-networks-1803.07859"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-generalized-dynamic-topic-models-1803.07868</loc><lastmod>2018-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-generalized-dynamic-topic-models-1803.07868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-generalized-dynamic-topic-models-1803.07868"/></url>
<url><loc>https://scifaro.com/en/abs/an-unsupervised-multivariate-time-series-kernel-approach-for-identifying-patients-with-surgical-site-infection-from-blood-samples-1803.07879</loc><lastmod>2018-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-unsupervised-multivariate-time-series-kernel-approach-for-identifying-patients-with-surgical-site-infection-from-blood-samples-1803.07879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-unsupervised-multivariate-time-series-kernel-approach-for-identifying-patients-with-surgical-site-infection-from-blood-samples-1803.07879"/></url>
<url><loc>https://scifaro.com/en/abs/an-exercise-fatigue-detection-model-based-on-machine-learning-methods-1803.07952</loc><lastmod>2018-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-exercise-fatigue-detection-model-based-on-machine-learning-methods-1803.07952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-exercise-fatigue-detection-model-based-on-machine-learning-methods-1803.07952"/></url>
<url><loc>https://scifaro.com/en/abs/resilient-monotone-sequential-maximization-1803.07954</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resilient-monotone-sequential-maximization-1803.07954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resilient-monotone-sequential-maximization-1803.07954"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-random-forests-to-reduce-bias-one-step-boosted-forest-and-its-variance-estimate-1803.08000</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-random-forests-to-reduce-bias-one-step-boosted-forest-and-its-variance-estimate-1803.08000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-random-forests-to-reduce-bias-one-step-boosted-forest-and-its-variance-estimate-1803.08000"/></url>
<url><loc>https://scifaro.com/en/abs/error-estimation-for-randomized-least-squares-algorithms-via-the-bootstrap-1803.08021</loc><lastmod>2018-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-estimation-for-randomized-least-squares-algorithms-via-the-bootstrap-1803.08021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-estimation-for-randomized-least-squares-algorithms-via-the-bootstrap-1803.08021"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-learning-to-learn-with-statistical-guarantees-1803.08089</loc><lastmod>2018-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-learning-to-learn-with-statistical-guarantees-1803.08089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-learning-to-learn-with-statistical-guarantees-1803.08089"/></url>
<url><loc>https://scifaro.com/en/abs/seglearn-a-python-package-for-learning-sequences-and-time-series-1803.08118</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seglearn-a-python-package-for-learning-sequences-and-time-series-1803.08118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seglearn-a-python-package-for-learning-sequences-and-time-series-1803.08118"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-quantizes-relu-network-features-1803.08367</loc><lastmod>2018-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-quantizes-relu-network-features-1803.08367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-quantizes-relu-network-features-1803.08367"/></url>
<url><loc>https://scifaro.com/en/abs/locally-private-bayesian-inference-for-count-models-1803.08471</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-private-bayesian-inference-for-count-models-1803.08471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-private-bayesian-inference-for-count-models-1803.08471"/></url>
<url><loc>https://scifaro.com/en/abs/attention-learn-to-solve-routing-problems-1803.08475</loc><lastmod>2019-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-learn-to-solve-routing-problems-1803.08475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-learn-to-solve-routing-problems-1803.08475"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-measures-of-uncertainty-for-adversarial-example-detection-1803.08533</loc><lastmod>2018-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-measures-of-uncertainty-for-adversarial-example-detection-1803.08533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-measures-of-uncertainty-for-adversarial-example-detection-1803.08533"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-scalable-softmax-optimization-1803.08577</loc><lastmod>2018-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-scalable-softmax-optimization-1803.08577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-scalable-softmax-optimization-1803.08577"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-of-smooth-functions-with-noisy-observations-local-minimax-rates-1803.08586</loc><lastmod>2018-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-of-smooth-functions-with-noisy-observations-local-minimax-rates-1803.08586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-of-smooth-functions-with-noisy-observations-local-minimax-rates-1803.08586"/></url>
<url><loc>https://scifaro.com/en/abs/on-efficient-global-optimization-via-universal-kriging-surrogate-models-1803.08667</loc><lastmod>2018-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-efficient-global-optimization-via-universal-kriging-surrogate-models-1803.08667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-efficient-global-optimization-via-universal-kriging-surrogate-models-1803.08667"/></url>
<url><loc>https://scifaro.com/en/abs/determinantal-point-processes-for-coresets-1803.08700</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/determinantal-point-processes-for-coresets-1803.08700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/determinantal-point-processes-for-coresets-1803.08700"/></url>
<url><loc>https://scifaro.com/en/abs/trace-your-sources-in-large-scale-data-one-ring-to-find-them-all-1803.08882</loc><lastmod>2018-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trace-your-sources-in-large-scale-data-one-ring-to-find-them-all-1803.08882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trace-your-sources-in-large-scale-data-one-ring-to-find-them-all-1803.08882"/></url>
<url><loc>https://scifaro.com/en/abs/a-proximal-block-coordinate-descent-algorithm-for-deep-neural-network-training-1803.09082</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-proximal-block-coordinate-descent-algorithm-for-deep-neural-network-training-1803.09082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-proximal-block-coordinate-descent-algorithm-for-deep-neural-network-training-1803.09082"/></url>
<url><loc>https://scifaro.com/en/abs/entanglement-guided-architectures-of-machine-learning-by-quantum-tensor-network-1803.09111</loc><lastmod>2022-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entanglement-guided-architectures-of-machine-learning-by-quantum-tensor-network-1803.09111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entanglement-guided-architectures-of-machine-learning-by-quantum-tensor-network-1803.09111"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-in-gaussian-random-fields-as-a-toy-model-for-high-dimensional-optimisation-in-deep-learning-1803.09119</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-in-gaussian-random-fields-as-a-toy-model-for-high-dimensional-optimisation-in-deep-learning-1803.09119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-in-gaussian-random-fields-as-a-toy-model-for-high-dimensional-optimisation-in-deep-learning-1803.09119"/></url>
<url><loc>https://scifaro.com/en/abs/equation-embeddings-1803.09123</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equation-embeddings-1803.09123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equation-embeddings-1803.09123"/></url>
<url><loc>https://scifaro.com/en/abs/posterior-concentration-for-sparse-deep-learning-1803.09138</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/posterior-concentration-for-sparse-deep-learning-1803.09138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/posterior-concentration-for-sparse-deep-learning-1803.09138"/></url>
<url><loc>https://scifaro.com/en/abs/natural-gradients-in-practice-non-conjugate-variational-inference-in-gaussian-process-models-1803.09151</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/natural-gradients-in-practice-non-conjugate-variational-inference-in-gaussian-process-models-1803.09151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/natural-gradients-in-practice-non-conjugate-variational-inference-in-gaussian-process-models-1803.09151"/></url>
<url><loc>https://scifaro.com/en/abs/fast-variational-bayes-for-heavy-tailed-plda-applied-to-i-vectors-and-x-vectors-1803.09153</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-variational-bayes-for-heavy-tailed-plda-applied-to-i-vectors-and-x-vectors-1803.09153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-variational-bayes-for-heavy-tailed-plda-applied-to-i-vectors-and-x-vectors-1803.09153"/></url>
<url><loc>https://scifaro.com/en/abs/balanced-random-survival-forests-for-extremely-unbalanced-right-censored-data-1803.09177</loc><lastmod>2018-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balanced-random-survival-forests-for-extremely-unbalanced-right-censored-data-1803.09177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balanced-random-survival-forests-for-extremely-unbalanced-right-censored-data-1803.09177"/></url>
<url><loc>https://scifaro.com/en/abs/online-second-order-methods-for-non-convex-stochastic-optimizations-1803.09383</loc><lastmod>2018-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-second-order-methods-for-non-convex-stochastic-optimizations-1803.09383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-second-order-methods-for-non-convex-stochastic-optimizations-1803.09383"/></url>
<url><loc>https://scifaro.com/en/abs/on-matching-pursuit-and-coordinate-descent-1803.09539</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-matching-pursuit-and-coordinate-descent-1803.09539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-matching-pursuit-and-coordinate-descent-1803.09539"/></url>
<url><loc>https://scifaro.com/en/abs/calibrated-prediction-intervals-for-neural-network-regressors-1803.09546</loc><lastmod>2019-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrated-prediction-intervals-for-neural-network-regressors-1803.09546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrated-prediction-intervals-for-neural-network-regressors-1803.09546"/></url>
<url><loc>https://scifaro.com/en/abs/mordred-memory-based-ordinal-regression-deep-neural-networks-for-time-series-forecasting-1803.09704</loc><lastmod>2018-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mordred-memory-based-ordinal-regression-deep-neural-networks-for-time-series-forecasting-1803.09704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mordred-memory-based-ordinal-regression-deep-neural-networks-for-time-series-forecasting-1803.09704"/></url>
<url><loc>https://scifaro.com/en/abs/bypassing-feature-squeezing-by-increasing-adversary-strength-1803.09868</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bypassing-feature-squeezing-by-increasing-adversary-strength-1803.09868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bypassing-feature-squeezing-by-increasing-adversary-strength-1803.09868"/></url>
<url><loc>https://scifaro.com/en/abs/draco-byzantine-resilient-distributed-training-via-redundant-gradients-1803.09877</loc><lastmod>2018-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/draco-byzantine-resilient-distributed-training-via-redundant-gradients-1803.09877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/draco-byzantine-resilient-distributed-training-via-redundant-gradients-1803.09877"/></url>
<url><loc>https://scifaro.com/en/abs/task-agnostic-continual-learning-using-online-variational-bayes-1803.10123</loc><lastmod>2019-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-agnostic-continual-learning-using-online-variational-bayes-1803.10123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-agnostic-continual-learning-using-online-variational-bayes-1803.10123"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-adaptive-sampling-for-kernel-matrix-approximation-1803.10172</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-adaptive-sampling-for-kernel-matrix-approximation-1803.10172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-adaptive-sampling-for-kernel-matrix-approximation-1803.10172"/></url>
<url><loc>https://scifaro.com/en/abs/disease-atlas-navigating-disease-trajectories-with-deep-learning-1803.10254</loc><lastmod>2019-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disease-atlas-navigating-disease-trajectories-with-deep-learning-1803.10254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disease-atlas-navigating-disease-trajectories-with-deep-learning-1803.10254"/></url>
<url><loc>https://scifaro.com/en/abs/supervising-unsupervised-learning-with-evolutionary-algorithm-in-deep-neural-network-1803.10397</loc><lastmod>2018-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervising-unsupervised-learning-with-evolutionary-algorithm-in-deep-neural-network-1803.10397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervising-unsupervised-learning-with-evolutionary-algorithm-in-deep-neural-network-1803.10397"/></url>
<url><loc>https://scifaro.com/en/abs/graphite-iterative-generative-modeling-of-graphs-1803.10459</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphite-iterative-generative-modeling-of-graphs-1803.10459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphite-iterative-generative-modeling-of-graphs-1803.10459"/></url>
<url><loc>https://scifaro.com/en/abs/feed-forward-uncertainty-propagation-in-belief-and-neural-networks-1803.10590</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feed-forward-uncertainty-propagation-in-belief-and-neural-networks-1803.10590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feed-forward-uncertainty-propagation-in-belief-and-neural-networks-1803.10590"/></url>
<url><loc>https://scifaro.com/en/abs/pseudo-marginal-bayesian-inference-for-supervised-gaussian-process-latent-variable-models-1803.10746</loc><lastmod>2018-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pseudo-marginal-bayesian-inference-for-supervised-gaussian-process-latent-variable-models-1803.10746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pseudo-marginal-bayesian-inference-for-supervised-gaussian-process-latent-variable-models-1803.10746"/></url>
<url><loc>https://scifaro.com/en/abs/defending-against-adversarial-images-using-basis-functions-transformations-1803.10840</loc><lastmod>2018-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defending-against-adversarial-images-using-basis-functions-transformations-1803.10840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defending-against-adversarial-images-using-basis-functions-transformations-1803.10840"/></url>
<url><loc>https://scifaro.com/en/abs/structural-risk-minimization-for-c-1-1-mathbb-r-d-regression-1803.10884</loc><lastmod>2018-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structural-risk-minimization-for-c-1-1-mathbb-r-d-regression-1803.10884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structural-risk-minimization-for-c-1-1-mathbb-r-d-regression-1803.10884"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-analysis-of-constrained-support-vector-quantile-regression-for-nonparametric-probabilistic-forecasting-of-wind-power-1803.10888</loc><lastmod>2018-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-analysis-of-constrained-support-vector-quantile-regression-for-nonparametric-probabilistic-forecasting-of-wind-power-1803.10888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-analysis-of-constrained-support-vector-quantile-regression-for-nonparametric-probabilistic-forecasting-of-wind-power-1803.10888"/></url>
<url><loc>https://scifaro.com/en/abs/an-lp-based-hyperparameter-optimization-model-for-language-modeling-1803.10927</loc><lastmod>2018-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-lp-based-hyperparameter-optimization-model-for-language-modeling-1803.10927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-lp-based-hyperparameter-optimization-model-for-language-modeling-1803.10927"/></url>
<url><loc>https://scifaro.com/en/abs/protection-against-cloning-for-deep-learning-1803.10995</loc><lastmod>2018-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/protection-against-cloning-for-deep-learning-1803.10995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/protection-against-cloning-for-deep-learning-1803.10995"/></url>
<url><loc>https://scifaro.com/en/abs/on-hyperparameter-search-in-cluster-ensembles-1803.11008</loc><lastmod>2018-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-hyperparameter-search-in-cluster-ensembles-1803.11008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-hyperparameter-search-in-cluster-ensembles-1803.11008"/></url>
<url><loc>https://scifaro.com/en/abs/notes-on-computational-to-statistical-gaps-predictions-using-statistical-physics-1803.11132</loc><lastmod>2018-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/notes-on-computational-to-statistical-gaps-predictions-using-statistical-physics-1803.11132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/notes-on-computational-to-statistical-gaps-predictions-using-statistical-physics-1803.11132"/></url>
<url><loc>https://scifaro.com/en/abs/conformal-prediction-in-learning-under-privileged-information-paradigm-with-applications-in-drug-discovery-1803.11136</loc><lastmod>2018-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformal-prediction-in-learning-under-privileged-information-paradigm-with-applications-in-drug-discovery-1803.11136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformal-prediction-in-learning-under-privileged-information-paradigm-with-applications-in-drug-discovery-1803.11136"/></url>
<url><loc>https://scifaro.com/en/abs/performance-evaluation-and-hyperparameter-tuning-of-statistical-and-machine-learning-models-using-spatial-data-1803.11266</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-evaluation-and-hyperparameter-tuning-of-statistical-and-machine-learning-models-using-spatial-data-1803.11266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-evaluation-and-hyperparameter-tuning-of-statistical-and-machine-learning-models-using-spatial-data-1803.11266"/></url>
<url><loc>https://scifaro.com/en/abs/a-stochastic-large-scale-machine-learning-algorithm-for-distributed-features-and-observations-1803.11287</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-stochastic-large-scale-machine-learning-algorithm-for-distributed-features-and-observations-1803.11287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-stochastic-large-scale-machine-learning-algorithm-for-distributed-features-and-observations-1803.11287"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-framework-for-online-supervised-learning-with-feature-selection-1803.11521</loc><lastmod>2024-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-framework-for-online-supervised-learning-with-feature-selection-1803.11521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-framework-for-online-supervised-learning-with-feature-selection-1803.11521"/></url>
<url><loc>https://scifaro.com/en/abs/the-eigenvalues-of-stochastic-blockmodel-graphs-1803.11551</loc><lastmod>2018-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-eigenvalues-of-stochastic-blockmodel-graphs-1803.11551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-eigenvalues-of-stochastic-blockmodel-graphs-1803.11551"/></url>
<url><loc>https://scifaro.com/en/abs/engineering-a-simplified-0-bit-consistent-weighted-sampling-1804.00069</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/engineering-a-simplified-0-bit-consistent-weighted-sampling-1804.00069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/engineering-a-simplified-0-bit-consistent-weighted-sampling-1804.00069"/></url>
<url><loc>https://scifaro.com/en/abs/learning-disentangled-joint-continuous-and-discrete-representations-1804.00104</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-disentangled-joint-continuous-and-discrete-representations-1804.00104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-disentangled-joint-continuous-and-discrete-representations-1804.00104"/></url>
<url><loc>https://scifaro.com/en/abs/locally-convex-sparse-learning-over-networks-1804.00130</loc><lastmod>2018-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-convex-sparse-learning-over-networks-1804.00130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-convex-sparse-learning-over-networks-1804.00130"/></url>
<url><loc>https://scifaro.com/en/abs/earthmapper-a-tool-box-for-the-semantic-segmentation-of-remote-sensing-imagery-1804.00292</loc><lastmod>2018-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/earthmapper-a-tool-box-for-the-semantic-segmentation-of-remote-sensing-imagery-1804.00292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/earthmapper-a-tool-box-for-the-semantic-segmentation-of-remote-sensing-imagery-1804.00292"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-principal-component-analysis-via-variable-projection-1804.00341</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-principal-component-analysis-via-variable-projection-1804.00341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-principal-component-analysis-via-variable-projection-1804.00341"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-gaussian-ica-1804.00408</loc><lastmod>2018-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-gaussian-ica-1804.00408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-gaussian-ica-1804.00408"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-em-for-shuffled-linear-regression-1804.00681</loc><lastmod>2018-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-em-for-shuffled-linear-regression-1804.00681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-em-for-shuffled-linear-regression-1804.00681"/></url>
<url><loc>https://scifaro.com/en/abs/momentum-space-renormalization-group-transformation-in-bayesian-image-modeling-by-gaussian-graphical-model-1804.00727</loc><lastmod>2018-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/momentum-space-renormalization-group-transformation-in-bayesian-image-modeling-by-gaussian-graphical-model-1804.00727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/momentum-space-renormalization-group-transformation-in-bayesian-image-modeling-by-gaussian-graphical-model-1804.00727"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-markov-chain-via-rank-constrained-likelihood-1804.00795</loc><lastmod>2018-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-markov-chain-via-rank-constrained-likelihood-1804.00795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-markov-chain-via-rank-constrained-likelihood-1804.00795"/></url>
<url><loc>https://scifaro.com/en/abs/learning-on-hypergraphs-with-sparsity-1804.00836</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-on-hypergraphs-with-sparsity-1804.00836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-on-hypergraphs-with-sparsity-1804.00836"/></url>
<url><loc>https://scifaro.com/en/abs/hyperspherical-variational-auto-encoders-1804.00891</loc><lastmod>2022-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperspherical-variational-auto-encoders-1804.00891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperspherical-variational-auto-encoders-1804.00891"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-cox-process-inference-using-variational-fourier-features-1804.01016</loc><lastmod>2018-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-cox-process-inference-using-variational-fourier-features-1804.01016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-cox-process-inference-using-variational-fourier-features-1804.01016"/></url>
<url><loc>https://scifaro.com/en/abs/training-vaes-under-structured-residuals-1804.01050</loc><lastmod>2026-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-vaes-under-structured-residuals-1804.01050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-vaes-under-structured-residuals-1804.01050"/></url>
<url><loc>https://scifaro.com/en/abs/an-imprecise-probabilistic-estimator-for-the-transition-rate-matrix-of-a-continuous-time-markov-chain-1804.01330</loc><lastmod>2018-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-imprecise-probabilistic-estimator-for-the-transition-rate-matrix-of-a-continuous-time-markov-chain-1804.01330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-imprecise-probabilistic-estimator-for-the-transition-rate-matrix-of-a-continuous-time-markov-chain-1804.01330"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-subset-scanning-for-anomalous-pattern-detection-in-non-iid-data-1804.01466</loc><lastmod>2018-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-subset-scanning-for-anomalous-pattern-detection-in-non-iid-data-1804.01466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-subset-scanning-for-anomalous-pattern-detection-in-non-iid-data-1804.01466"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-resource-efficient-identification-of-shallow-neural-networks-by-fewest-samples-1804.01592</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-resource-efficient-identification-of-shallow-neural-networks-by-fewest-samples-1804.01592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-resource-efficient-identification-of-shallow-neural-networks-by-fewest-samples-1804.01592"/></url>
<url><loc>https://scifaro.com/en/abs/stability-and-convergence-trade-off-of-iterative-optimization-algorithms-1804.01619</loc><lastmod>2018-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-and-convergence-trade-off-of-iterative-optimization-algorithms-1804.01619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-and-convergence-trade-off-of-iterative-optimization-algorithms-1804.01619"/></url>
<url><loc>https://scifaro.com/en/abs/active-covariance-estimation-by-random-sub-sampling-of-variables-1804.01620</loc><lastmod>2018-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-covariance-estimation-by-random-sub-sampling-of-variables-1804.01620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-covariance-estimation-by-random-sub-sampling-of-variables-1804.01620"/></url>
<url><loc>https://scifaro.com/en/abs/variational-rejection-sampling-1804.01712</loc><lastmod>2018-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-rejection-sampling-1804.01712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-rejection-sampling-1804.01712"/></url>
<url><loc>https://scifaro.com/en/abs/the-kanerva-machine-a-generative-distributed-memory-1804.01756</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-kanerva-machine-a-generative-distributed-memory-1804.01756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-kanerva-machine-a-generative-distributed-memory-1804.01756"/></url>
<url><loc>https://scifaro.com/en/abs/explanations-of-model-predictions-with-live-and-breakdown-packages-1804.01955</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explanations-of-model-predictions-with-live-and-breakdown-packages-1804.01955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explanations-of-model-predictions-with-live-and-breakdown-packages-1804.01955"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-diffusions-for-scalable-learning-over-graphs-1804.02081</loc><lastmod>2019-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-diffusions-for-scalable-learning-over-graphs-1804.02081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-diffusions-for-scalable-learning-over-graphs-1804.02081"/></url>
<url><loc>https://scifaro.com/en/abs/structured-disentangled-representations-1804.02086</loc><lastmod>2018-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-disentangled-representations-1804.02086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-disentangled-representations-1804.02086"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-of-deep-networks-with-relu-activation-function-and-linear-spline-type-methods-1804.02253</loc><lastmod>2018-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-deep-networks-with-relu-activation-function-and-linear-spline-type-methods-1804.02253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-deep-networks-with-relu-activation-function-and-linear-spline-type-methods-1804.02253"/></url>
<url><loc>https://scifaro.com/en/abs/chatter-classification-in-turning-using-machine-learning-and-topological-data-analysis-1804.02261</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chatter-classification-in-turning-using-machine-learning-and-topological-data-analysis-1804.02261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chatter-classification-in-turning-using-machine-learning-and-topological-data-analysis-1804.02261"/></url>
<url><loc>https://scifaro.com/en/abs/the-loss-surface-of-xor-artificial-neural-networks-1804.02411</loc><lastmod>2018-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-loss-surface-of-xor-artificial-neural-networks-1804.02411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-loss-surface-of-xor-artificial-neural-networks-1804.02411"/></url>
<url><loc>https://scifaro.com/en/abs/fortified-networks-improving-the-robustness-of-deep-networks-by-modeling-the-manifold-of-hidden-representations-1804.02485</loc><lastmod>2018-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fortified-networks-improving-the-robustness-of-deep-networks-by-modeling-the-manifold-of-hidden-representations-1804.02485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fortified-networks-improving-the-robustness-of-deep-networks-by-modeling-the-manifold-of-hidden-representations-1804.02485"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-of-gmm-with-a-uniform-background-component-1804.02744</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-of-gmm-with-a-uniform-background-component-1804.02744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-of-gmm-with-a-uniform-background-component-1804.02744"/></url>
<url><loc>https://scifaro.com/en/abs/fast-conditional-independence-test-for-vector-variables-with-large-sample-sizes-1804.02747</loc><lastmod>2018-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-conditional-independence-test-for-vector-variables-with-large-sample-sizes-1804.02747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-conditional-independence-test-for-vector-variables-with-large-sample-sizes-1804.02747"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-multiclass-nearest-neighbor-classifier-1804.02756</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-multiclass-nearest-neighbor-classifier-1804.02756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-multiclass-nearest-neighbor-classifier-1804.02756"/></url>
<url><loc>https://scifaro.com/en/abs/active-mini-batch-sampling-using-repulsive-point-processes-1804.02772</loc><lastmod>2018-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-mini-batch-sampling-using-repulsive-point-processes-1804.02772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-mini-batch-sampling-using-repulsive-point-processes-1804.02772"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-possible-effects-of-cognitive-biases-on-the-interpretation-of-rule-based-machine-learning-models-1804.02969</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-possible-effects-of-cognitive-biases-on-the-interpretation-of-rule-based-machine-learning-models-1804.02969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-possible-effects-of-cognitive-biases-on-the-interpretation-of-rule-based-machine-learning-models-1804.02969"/></url>
<url><loc>https://scifaro.com/en/abs/a-plug-in-approach-to-maximising-precision-at-the-top-and-recall-at-the-top-1804.03077</loc><lastmod>2018-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-plug-in-approach-to-maximising-precision-at-the-top-and-recall-at-the-top-1804.03077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-plug-in-approach-to-maximising-precision-at-the-top-and-recall-at-the-top-1804.03077"/></url>
<url><loc>https://scifaro.com/en/abs/cauchy-noise-loss-for-stochastic-optimization-of-random-matrix-models-via-free-deterministic-equivalents-1804.03154</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cauchy-noise-loss-for-stochastic-optimization-of-random-matrix-models-via-free-deterministic-equivalents-1804.03154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cauchy-noise-loss-for-stochastic-optimization-of-random-matrix-models-via-free-deterministic-equivalents-1804.03154"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-time-to-event-modeling-1804.03184</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-time-to-event-modeling-1804.03184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-time-to-event-modeling-1804.03184"/></url>
<url><loc>https://scifaro.com/en/abs/human-guided-data-exploration-1804.03194</loc><lastmod>2018-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-guided-data-exploration-1804.03194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-guided-data-exploration-1804.03194"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-factorized-hierarchical-variational-autoencoder-training-1804.03201</loc><lastmod>2018-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-factorized-hierarchical-variational-autoencoder-training-1804.03201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-factorized-hierarchical-variational-autoencoder-training-1804.03201"/></url>
<url><loc>https://scifaro.com/en/abs/building-function-approximators-on-top-of-haar-scattering-networks-1804.03236</loc><lastmod>2018-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-function-approximators-on-top-of-haar-scattering-networks-1804.03236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-function-approximators-on-top-of-haar-scattering-networks-1804.03236"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-supermodularity-of-active-graph-based-semi-supervised-learning-with-stieltjes-matrix-regularization-1804.03273</loc><lastmod>2018-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-supermodularity-of-active-graph-based-semi-supervised-learning-with-stieltjes-matrix-regularization-1804.03273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-supermodularity-of-active-graph-based-semi-supervised-learning-with-stieltjes-matrix-regularization-1804.03273"/></url>
<url><loc>https://scifaro.com/en/abs/hyperparameters-and-tuning-strategies-for-random-forest-1804.03515</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperparameters-and-tuning-strategies-for-random-forest-1804.03515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperparameters-and-tuning-strategies-for-random-forest-1804.03515"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-disentangling-in-beta-vae-1804.03599</loc><lastmod>2018-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-disentangling-in-beta-vae-1804.03599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-disentangling-in-beta-vae-1804.03599"/></url>
<url><loc>https://scifaro.com/en/abs/subsampled-optimization-statistical-guarantees-mean-squared-error-approximation-and-sampling-method-1804.03615</loc><lastmod>2018-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subsampled-optimization-statistical-guarantees-mean-squared-error-approximation-and-sampling-method-1804.03615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subsampled-optimization-statistical-guarantees-mean-squared-error-approximation-and-sampling-method-1804.03615"/></url>
<url><loc>https://scifaro.com/en/abs/a-tamper-free-semi-universal-communication-system-for-deletion-channels-1804.03707</loc><lastmod>2018-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tamper-free-semi-universal-communication-system-for-deletion-channels-1804.03707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tamper-free-semi-universal-communication-system-for-deletion-channels-1804.03707"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-robust-principal-component-analysis-with-a-new-tensor-nuclear-norm-1804.03728</loc><lastmod>2019-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-robust-principal-component-analysis-with-a-new-tensor-nuclear-norm-1804.03728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-robust-principal-component-analysis-with-a-new-tensor-nuclear-norm-1804.03728"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-sparse-bayesian-dictionary-learning-1804.03740</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-sparse-bayesian-dictionary-learning-1804.03740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-sparse-bayesian-dictionary-learning-1804.03740"/></url>
<url><loc>https://scifaro.com/en/abs/derivative-free-optimization-via-repeated-classification-1804.03761</loc><lastmod>2018-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/derivative-free-optimization-via-repeated-classification-1804.03761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/derivative-free-optimization-via-repeated-classification-1804.03761"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-multivariate-functional-data-modeling-via-sparse-subspace-learning-1804.03797</loc><lastmod>2018-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-multivariate-functional-data-modeling-via-sparse-subspace-learning-1804.03797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-multivariate-functional-data-modeling-via-sparse-subspace-learning-1804.03797"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-time-varying-graphical-models-1804.03811</loc><lastmod>2018-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-time-varying-graphical-models-1804.03811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-time-varying-graphical-models-1804.03811"/></url>
<url><loc>https://scifaro.com/en/abs/interdependent-gibbs-samplers-1804.03958</loc><lastmod>2018-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interdependent-gibbs-samplers-1804.03958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interdependent-gibbs-samplers-1804.03958"/></url>
<url><loc>https://scifaro.com/en/abs/ks-conf-a-light-weight-test-if-a-convnet-operates-outside-of-its-specifications-1804.04171</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ks-conf-a-light-weight-test-if-a-convnet-operates-outside-of-its-specifications-1804.04171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ks-conf-a-light-weight-test-if-a-convnet-operates-outside-of-its-specifications-1804.04171"/></url>
<url><loc>https://scifaro.com/en/abs/capsules-for-object-segmentation-1804.04241</loc><lastmod>2018-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/capsules-for-object-segmentation-1804.04241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/capsules-for-object-segmentation-1804.04241"/></url>
<url><loc>https://scifaro.com/en/abs/local-reservoir-model-for-choice-based-learning-1804.04324</loc><lastmod>2018-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-reservoir-model-for-choice-based-learning-1804.04324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-reservoir-model-for-choice-based-learning-1804.04324"/></url>
<url><loc>https://scifaro.com/en/abs/causal-generative-domain-adaptation-networks-1804.04333</loc><lastmod>2018-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-generative-domain-adaptation-networks-1804.04333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-generative-domain-adaptation-networks-1804.04333"/></url>
<url><loc>https://scifaro.com/en/abs/regularisation-of-neural-networks-by-enforcing-lipschitz-continuity-1804.04368</loc><lastmod>2020-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularisation-of-neural-networks-by-enforcing-lipschitz-continuity-1804.04368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularisation-of-neural-networks-by-enforcing-lipschitz-continuity-1804.04368"/></url>
<url><loc>https://scifaro.com/en/abs/fast-gaussian-process-based-gradient-matching-for-parameter-identification-in-systems-of-nonlinear-odes-1804.04378</loc><lastmod>2019-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-gaussian-process-based-gradient-matching-for-parameter-identification-in-systems-of-nonlinear-odes-1804.04378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-gaussian-process-based-gradient-matching-for-parameter-identification-in-systems-of-nonlinear-odes-1804.04378"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-interpolation-via-motion-field-prediction-1804.04440</loc><lastmod>2018-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-interpolation-via-motion-field-prediction-1804.04440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-interpolation-via-motion-field-prediction-1804.04440"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-alignment-of-class-prediction-uncertainties-for-domain-adaptation-1804.04448</loc><lastmod>2019-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-alignment-of-class-prediction-uncertainties-for-domain-adaptation-1804.04448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-alignment-of-class-prediction-uncertainties-for-domain-adaptation-1804.04448"/></url>
<url><loc>https://scifaro.com/en/abs/solving-bongard-problems-with-a-visual-language-and-pragmatic-reasoning-1804.04452</loc><lastmod>2018-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-bongard-problems-with-a-visual-language-and-pragmatic-reasoning-1804.04452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-bongard-problems-with-a-visual-language-and-pragmatic-reasoning-1804.04452"/></url>
<url><loc>https://scifaro.com/en/abs/fast-counting-in-machine-learning-applications-1804.04640</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-counting-in-machine-learning-applications-1804.04640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-counting-in-machine-learning-applications-1804.04640"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-community-structure-in-layered-neural-networks-1804.04778</loc><lastmod>2018-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-community-structure-in-layered-neural-networks-1804.04778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-community-structure-in-layered-neural-networks-1804.04778"/></url>
<url><loc>https://scifaro.com/en/abs/a-grid-based-adversarial-clustering-algorithm-1804.04780</loc><lastmod>2024-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-grid-based-adversarial-clustering-algorithm-1804.04780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-grid-based-adversarial-clustering-algorithm-1804.04780"/></url>
<url><loc>https://scifaro.com/en/abs/fast-parameter-free-outlier-identification-for-robust-pca-1804.04791</loc><lastmod>2018-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-parameter-free-outlier-identification-for-robust-pca-1804.04791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-parameter-free-outlier-identification-for-robust-pca-1804.04791"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-of-methods-for-model-selection-when-estimating-individual-treatment-effects-1804.05146</loc><lastmod>2018-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-methods-for-model-selection-when-estimating-individual-treatment-effects-1804.05146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-methods-for-model-selection-when-estimating-individual-treatment-effects-1804.05146"/></url>
<url><loc>https://scifaro.com/en/abs/fast-optimal-bandwidth-selection-for-rbf-kernel-using-reproducing-kernel-hilbert-space-operators-for-kernel-based-classifiers-1804.05214</loc><lastmod>2018-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-optimal-bandwidth-selection-for-rbf-kernel-using-reproducing-kernel-hilbert-space-operators-for-kernel-based-classifiers-1804.05214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-optimal-bandwidth-selection-for-rbf-kernel-using-reproducing-kernel-hilbert-space-operators-for-kernel-based-classifiers-1804.05214"/></url>
<url><loc>https://scifaro.com/en/abs/omicsmapnet-transforming-omics-data-to-take-advantage-of-deep-convolutional-neural-network-for-discovery-1804.05283</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/omicsmapnet-transforming-omics-data-to-take-advantage-of-deep-convolutional-neural-network-for-discovery-1804.05283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/omicsmapnet-transforming-omics-data-to-take-advantage-of-deep-convolutional-neural-network-for-discovery-1804.05283"/></url>
<url><loc>https://scifaro.com/en/abs/from-cdf-to-pdf-a-density-estimation-method-for-high-dimensional-data-1804.05316</loc><lastmod>2018-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-cdf-to-pdf-a-density-estimation-method-for-high-dimensional-data-1804.05316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-cdf-to-pdf-a-density-estimation-method-for-high-dimensional-data-1804.05316"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-the-covariance-ellipsoid-1804.05402</loc><lastmod>2018-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-the-covariance-ellipsoid-1804.05402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-the-covariance-ellipsoid-1804.05402"/></url>
<url><loc>https://scifaro.com/en/abs/adaptivity-for-regularized-kernel-methods-by-lepskii-s-principle-1804.05433</loc><lastmod>2018-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptivity-for-regularized-kernel-methods-by-lepskii-s-principle-1804.05433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptivity-for-regularized-kernel-methods-by-lepskii-s-principle-1804.05433"/></url>
<url><loc>https://scifaro.com/en/abs/binary-matrix-factorization-via-dictionary-learning-1804.05482</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-matrix-factorization-via-dictionary-learning-1804.05482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-matrix-factorization-via-dictionary-learning-1804.05482"/></url>
<url><loc>https://scifaro.com/en/abs/conformalclassification-a-conformal-prediction-r-package-for-classification-1804.05494</loc><lastmod>2018-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformalclassification-a-conformal-prediction-r-package-for-classification-1804.05494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformalclassification-a-conformal-prediction-r-package-for-classification-1804.05494"/></url>
<url><loc>https://scifaro.com/en/abs/constant-step-size-stochastic-gradient-descent-for-probabilistic-modeling-1804.05567</loc><lastmod>2018-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constant-step-size-stochastic-gradient-descent-for-probabilistic-modeling-1804.05567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constant-step-size-stochastic-gradient-descent-for-probabilistic-modeling-1804.05567"/></url>
<url><loc>https://scifaro.com/en/abs/spsa-fsr-simultaneous-perturbation-stochastic-approximation-for-feature-selection-and-ranking-1804.05589</loc><lastmod>2018-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spsa-fsr-simultaneous-perturbation-stochastic-approximation-for-feature-selection-and-ranking-1804.05589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spsa-fsr-simultaneous-perturbation-stochastic-approximation-for-feature-selection-and-ranking-1804.05589"/></url>
<url><loc>https://scifaro.com/en/abs/rfcde-random-forests-for-conditional-density-estimation-1804.05753</loc><lastmod>2018-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rfcde-random-forests-for-conditional-density-estimation-1804.05753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rfcde-random-forests-for-conditional-density-estimation-1804.05753"/></url>
<url><loc>https://scifaro.com/en/abs/deep-embedding-kernel-1804.05806</loc><lastmod>2018-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-embedding-kernel-1804.05806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-embedding-kernel-1804.05806"/></url>
<url><loc>https://scifaro.com/en/abs/non-vacuous-generalization-bounds-at-the-imagenet-scale-a-pac-bayesian-compression-approach-1804.05862</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-vacuous-generalization-bounds-at-the-imagenet-scale-a-pac-bayesian-compression-approach-1804.05862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-vacuous-generalization-bounds-at-the-imagenet-scale-a-pac-bayesian-compression-approach-1804.05862"/></url>
<url><loc>https://scifaro.com/en/abs/maxgain-regularisation-of-neural-networks-by-constraining-activation-magnitudes-1804.05965</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maxgain-regularisation-of-neural-networks-by-constraining-activation-magnitudes-1804.05965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maxgain-regularisation-of-neural-networks-by-constraining-activation-magnitudes-1804.05965"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparse-latent-representations-with-the-deep-copula-information-bottleneck-1804.06216</loc><lastmod>2018-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparse-latent-representations-with-the-deep-copula-information-bottleneck-1804.06216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparse-latent-representations-with-the-deep-copula-information-bottleneck-1804.06216"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-of-machine-learning-algorithms-for-the-surveillance-of-autism-spectrum-disorder-1804.06223</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-machine-learning-algorithms-for-the-surveillance-of-autism-spectrum-disorder-1804.06223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-machine-learning-algorithms-for-the-surveillance-of-autism-spectrum-disorder-1804.06223"/></url>
<url><loc>https://scifaro.com/en/abs/cluster-analysis-on-locally-asymptotically-self-similar-processes-with-known-number-of-clusters-1804.06234</loc><lastmod>2020-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cluster-analysis-on-locally-asymptotically-self-similar-processes-with-known-number-of-clusters-1804.06234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cluster-analysis-on-locally-asymptotically-self-similar-processes-with-known-number-of-clusters-1804.06234"/></url>
<url><loc>https://scifaro.com/en/abs/unlearn-what-you-have-learned-adaptive-crowd-teaching-with-exponentially-decayed-memory-learners-1804.06481</loc><lastmod>2019-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unlearn-what-you-have-learned-adaptive-crowd-teaching-with-exponentially-decayed-memory-learners-1804.06481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unlearn-what-you-have-learned-adaptive-crowd-teaching-with-exponentially-decayed-memory-learners-1804.06481"/></url>
<url><loc>https://scifaro.com/en/abs/a-mean-field-view-of-the-landscape-of-two-layers-neural-networks-1804.06561</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-mean-field-view-of-the-landscape-of-two-layers-neural-networks-1804.06561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-mean-field-view-of-the-landscape-of-two-layers-neural-networks-1804.06561"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-the-feature-importance-for-black-box-models-1804.06620</loc><lastmod>2020-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-the-feature-importance-for-black-box-models-1804.06620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-the-feature-importance-for-black-box-models-1804.06620"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-metabolic-flux-analysis-reveals-intracellular-flux-couplings-1804.06673</loc><lastmod>2018-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-metabolic-flux-analysis-reveals-intracellular-flux-couplings-1804.06673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-metabolic-flux-analysis-reveals-intracellular-flux-couplings-1804.06673"/></url>
<url><loc>https://scifaro.com/en/abs/entropic-spectral-learning-for-large-scale-graphs-1804.06802</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropic-spectral-learning-for-large-scale-graphs-1804.06802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropic-spectral-learning-for-large-scale-graphs-1804.06802"/></url>
<url><loc>https://scifaro.com/en/abs/forward-backward-stochastic-neural-networks-deep-learning-of-high-dimensional-partial-differential-equations-1804.07010</loc><lastmod>2018-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forward-backward-stochastic-neural-networks-deep-learning-of-high-dimensional-partial-differential-equations-1804.07010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forward-backward-stochastic-neural-networks-deep-learning-of-high-dimensional-partial-differential-equations-1804.07010"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-partially-observed-networks-with-nonparametric-bandits-1804.07059</loc><lastmod>2018-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-partially-observed-networks-with-nonparametric-bandits-1804.07059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-partially-observed-networks-with-nonparametric-bandits-1804.07059"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-regions-of-maximal-divergence-for-spatio-temporal-anomaly-detection-1804.07091</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-regions-of-maximal-divergence-for-spatio-temporal-anomaly-detection-1804.07091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-regions-of-maximal-divergence-for-spatio-temporal-anomaly-detection-1804.07091"/></url>
<url><loc>https://scifaro.com/en/abs/dictionary-learning-from-local-towards-global-and-adaptive-1804.07101</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dictionary-learning-from-local-towards-global-and-adaptive-1804.07101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dictionary-learning-from-local-towards-global-and-adaptive-1804.07101"/></url>
<url><loc>https://scifaro.com/en/abs/varrank-an-r-package-for-variable-ranking-based-on-mutual-information-with-applications-to-observed-systemic-datasets-1804.07134</loc><lastmod>2018-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/varrank-an-r-package-for-variable-ranking-based-on-mutual-information-with-applications-to-observed-systemic-datasets-1804.07134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/varrank-an-r-package-for-variable-ranking-based-on-mutual-information-with-applications-to-observed-systemic-datasets-1804.07134"/></url>
<url><loc>https://scifaro.com/en/abs/effects-of-sampling-skewness-of-the-importance-weighted-risk-estimator-on-model-selection-1804.07344</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effects-of-sampling-skewness-of-the-importance-weighted-risk-estimator-on-model-selection-1804.07344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effects-of-sampling-skewness-of-the-importance-weighted-risk-estimator-on-model-selection-1804.07344"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-ica-and-lda-dimensionality-reduction-methods-for-hyperspectral-image-classification-1804.07347</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-ica-and-lda-dimensionality-reduction-methods-for-hyperspectral-image-classification-1804.07347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-ica-and-lda-dimensionality-reduction-methods-for-hyperspectral-image-classification-1804.07347"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-of-the-brain-connectivity-dynamic-using-residual-d-net-1804.07672</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-of-the-brain-connectivity-dynamic-using-residual-d-net-1804.07672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-of-the-brain-connectivity-dynamic-using-residual-d-net-1804.07672"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-the-riemann-theta-boltzmann-machine-1804.07768</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-the-riemann-theta-boltzmann-machine-1804.07768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-the-riemann-theta-boltzmann-machine-1804.07768"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-ensemble-selection-vs-k-nn-why-and-when-dynamic-selection-obtains-higher-classification-performance-1804.07882</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-ensemble-selection-vs-k-nn-why-and-when-dynamic-selection-obtains-higher-classification-performance-1804.07882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-ensemble-selection-vs-k-nn-why-and-when-dynamic-selection-obtains-higher-classification-performance-1804.07882"/></url>
<url><loc>https://scifaro.com/en/abs/entire-space-multi-task-model-an-effective-approach-for-estimating-post-click-conversion-rate-1804.07931</loc><lastmod>2018-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entire-space-multi-task-model-an-effective-approach-for-estimating-post-click-conversion-rate-1804.07931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entire-space-multi-task-model-an-effective-approach-for-estimating-post-click-conversion-rate-1804.07931"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-travel-time-estimation-from-streaming-data-1804.08130</loc><lastmod>2020-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-travel-time-estimation-from-streaming-data-1804.08130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-travel-time-estimation-from-streaming-data-1804.08130"/></url>
<url><loc>https://scifaro.com/en/abs/dropping-networks-for-transfer-learning-1804.08501</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropping-networks-for-transfer-learning-1804.08501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropping-networks-for-transfer-learning-1804.08501"/></url>
<url><loc>https://scifaro.com/en/abs/a-theory-of-statistical-inference-for-ensuring-the-robustness-of-scientific-results-1804.08646</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theory-of-statistical-inference-for-ensuring-the-robustness-of-scientific-results-1804.08646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theory-of-statistical-inference-for-ensuring-the-robustness-of-scientific-results-1804.08646"/></url>
<url><loc>https://scifaro.com/en/abs/boltzmann-encoded-adversarial-machines-1804.08682</loc><lastmod>2018-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boltzmann-encoded-adversarial-machines-1804.08682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boltzmann-encoded-adversarial-machines-1804.08682"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-model-for-identifying-cyclic-alternating-patterns-in-the-sleeping-brain-1804.08750</loc><lastmod>2018-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-model-for-identifying-cyclic-alternating-patterns-in-the-sleeping-brain-1804.08750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-model-for-identifying-cyclic-alternating-patterns-in-the-sleeping-brain-1804.08750"/></url>
<url><loc>https://scifaro.com/en/abs/block-structure-based-time-series-models-for-graph-sequences-1804.08796</loc><lastmod>2018-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/block-structure-based-time-series-models-for-graph-sequences-1804.08796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/block-structure-based-time-series-models-for-graph-sequences-1804.08796"/></url>
<url><loc>https://scifaro.com/en/abs/learning-manifolds-from-non-stationary-streaming-data-1804.08833</loc><lastmod>2020-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-manifolds-from-non-stationary-streaming-data-1804.08833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-manifolds-from-non-stationary-streaming-data-1804.08833"/></url>
<url><loc>https://scifaro.com/en/abs/an-information-theoretic-view-for-deep-learning-1804.09060</loc><lastmod>2018-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-information-theoretic-view-for-deep-learning-1804.09060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-information-theoretic-view-for-deep-learning-1804.09060"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-multi-objective-neural-architecture-search-via-lamarckian-evolution-1804.09081</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-multi-objective-neural-architecture-search-via-lamarckian-evolution-1804.09081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-multi-objective-neural-architecture-search-via-lamarckian-evolution-1804.09081"/></url>
<url><loc>https://scifaro.com/en/abs/on-learning-sparsely-used-dictionaries-from-incomplete-samples-1804.09217</loc><lastmod>2018-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-learning-sparsely-used-dictionaries-from-incomplete-samples-1804.09217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-learning-sparsely-used-dictionaries-from-incomplete-samples-1804.09217"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-predicting-asset-returns-1804.09314</loc><lastmod>2018-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-predicting-asset-returns-1804.09314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-predicting-asset-returns-1804.09314"/></url>
<url><loc>https://scifaro.com/en/abs/generative-temporal-models-with-spatial-memory-for-partially-observed-environments-1804.09401</loc><lastmod>2018-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-temporal-models-with-spatial-memory-for-partially-observed-environments-1804.09401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-temporal-models-with-spatial-memory-for-partially-observed-environments-1804.09401"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-complexity-of-sparse-label-propagation-1804.09597</loc><lastmod>2018-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-complexity-of-sparse-label-propagation-1804.09597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-complexity-of-sparse-label-propagation-1804.09597"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-study-of-feature-selection-methods-for-stress-hotspot-classification-in-materials-1804.09604</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-study-of-feature-selection-methods-for-stress-hotspot-classification-in-materials-1804.09604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-study-of-feature-selection-methods-for-stress-hotspot-classification-in-materials-1804.09604"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-guarantees-for-a-class-of-non-convex-and-non-smooth-optimization-problems-1804.09629</loc><lastmod>2018-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-guarantees-for-a-class-of-non-convex-and-non-smooth-optimization-problems-1804.09629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-guarantees-for-a-class-of-non-convex-and-non-smooth-optimization-problems-1804.09629"/></url>
<url><loc>https://scifaro.com/en/abs/towards-fast-computation-of-certified-robustness-for-relu-networks-1804.09699</loc><lastmod>2018-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-fast-computation-of-certified-robustness-for-relu-networks-1804.09699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-fast-computation-of-certified-robustness-for-relu-networks-1804.09699"/></url>
<url><loc>https://scifaro.com/en/abs/mathematical-analysis-on-out-of-sample-extensions-1804.09784</loc><lastmod>2018-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mathematical-analysis-on-out-of-sample-extensions-1804.09784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mathematical-analysis-on-out-of-sample-extensions-1804.09784"/></url>
<url><loc>https://scifaro.com/en/abs/improved-classification-based-on-deep-belief-networks-1804.09812</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-classification-based-on-deep-belief-networks-1804.09812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-classification-based-on-deep-belief-networks-1804.09812"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-penalty-selection-via-minimum-description-length-principle-1804.09904</loc><lastmod>2018-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-penalty-selection-via-minimum-description-length-principle-1804.09904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-penalty-selection-via-minimum-description-length-principle-1804.09904"/></url>
<url><loc>https://scifaro.com/en/abs/candidate-labeling-for-crowd-learning-1804.10023</loc><lastmod>2018-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/candidate-labeling-for-crowd-learning-1804.10023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/candidate-labeling-for-crowd-learning-1804.10023"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-learning-with-budgeted-network-load-using-gaussian-copulas-and-classifier-ensembles-1804.10028</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-learning-with-budgeted-network-load-using-gaussian-copulas-and-classifier-ensembles-1804.10028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-learning-with-budgeted-network-load-using-gaussian-copulas-and-classifier-ensembles-1804.10028"/></url>
<url><loc>https://scifaro.com/en/abs/best-a-decision-tree-algorithm-that-handles-missing-values-1804.10168</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/best-a-decision-tree-algorithm-that-handles-missing-values-1804.10168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/best-a-decision-tree-algorithm-that-handles-missing-values-1804.10168"/></url>
<url><loc>https://scifaro.com/en/abs/from-principal-subspaces-to-principal-components-with-linear-autoencoders-1804.10253</loc><lastmod>2019-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-principal-subspaces-to-principal-components-with-linear-autoencoders-1804.10253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-principal-subspaces-to-principal-components-with-linear-autoencoders-1804.10253"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-methods-for-nonlinear-matrix-completion-1804.10266</loc><lastmod>2020-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-methods-for-nonlinear-matrix-completion-1804.10266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-methods-for-nonlinear-matrix-completion-1804.10266"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-differentially-private-algorithms-for-matrix-and-tensor-factorization-1804.10299</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-differentially-private-algorithms-for-matrix-and-tensor-factorization-1804.10299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-differentially-private-algorithms-for-matrix-and-tensor-factorization-1804.10299"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-group-inductive-matrix-completion-1804.10653</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-group-inductive-matrix-completion-1804.10653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-group-inductive-matrix-completion-1804.10653"/></url>
<url><loc>https://scifaro.com/en/abs/on-convergence-of-moments-for-approximating-processes-and-applications-to-surrogate-models-1804.10821</loc><lastmod>2018-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-convergence-of-moments-for-approximating-processes-and-applications-to-surrogate-models-1804.10821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-convergence-of-moments-for-approximating-processes-and-applications-to-surrogate-models-1804.10821"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-multivariate-discrete-sequential-data-using-a-restricted-boltzmann-machine-model-1804.10839</loc><lastmod>2018-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-multivariate-discrete-sequential-data-using-a-restricted-boltzmann-machine-model-1804.10839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-multivariate-discrete-sequential-data-using-a-restricted-boltzmann-machine-model-1804.10839"/></url>
<url><loc>https://scifaro.com/en/abs/data-science-is-science-s-second-chance-to-get-causal-inference-right-a-classification-of-data-science-tasks-1804.10846</loc><lastmod>2019-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-science-is-science-s-second-chance-to-get-causal-inference-right-a-classification-of-data-science-tasks-1804.10846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-science-is-science-s-second-chance-to-get-causal-inference-right-a-classification-of-data-science-tasks-1804.10846"/></url>
<url><loc>https://scifaro.com/en/abs/learning-data-dependency-with-communication-cost-1804.10942</loc><lastmod>2018-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-data-dependency-with-communication-cost-1804.10942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-data-dependency-with-communication-cost-1804.10942"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneous-parameter-learning-and-bi-clustering-for-multi-response-models-1804.10961</loc><lastmod>2018-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneous-parameter-learning-and-bi-clustering-for-multi-response-models-1804.10961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneous-parameter-learning-and-bi-clustering-for-multi-response-models-1804.10961"/></url>
<url><loc>https://scifaro.com/en/abs/shade-information-based-regularization-for-deep-learning-1804.10988</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shade-information-based-regularization-for-deep-learning-1804.10988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shade-information-based-regularization-for-deep-learning-1804.10988"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-effect-of-suboptimal-estimation-of-mutual-information-in-feature-selection-and-classification-1804.11021</loc><lastmod>2021-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-effect-of-suboptimal-estimation-of-mutual-information-in-feature-selection-and-classification-1804.11021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-effect-of-suboptimal-estimation-of-mutual-information-in-feature-selection-and-classification-1804.11021"/></url>
<url><loc>https://scifaro.com/en/abs/equivalent-lipschitz-surrogates-for-zero-norm-and-rank-optimization-problems-1804.11062</loc><lastmod>2018-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivalent-lipschitz-surrogates-for-zero-norm-and-rank-optimization-problems-1804.11062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivalent-lipschitz-surrogates-for-zero-norm-and-rank-optimization-problems-1804.11062"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-weight-maps-in-terms-of-cognitive-or-clinical-neuroscience-nonsense-1804.11259</loc><lastmod>2018-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-weight-maps-in-terms-of-cognitive-or-clinical-neuroscience-nonsense-1804.11259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-weight-maps-in-terms-of-cognitive-or-clinical-neuroscience-nonsense-1804.11259"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-behaviour-in-wide-deep-neural-networks-1804.11271</loc><lastmod>2018-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-behaviour-in-wide-deep-neural-networks-1804.11271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-behaviour-in-wide-deep-neural-networks-1804.11271"/></url>
<url><loc>https://scifaro.com/en/abs/risk-averse-classification-1805.00119</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-averse-classification-1805.00119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-averse-classification-1805.00119"/></url>
<url><loc>https://scifaro.com/en/abs/compact-factorization-of-matrices-using-generalized-round-rank-1805.00184</loc><lastmod>2018-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compact-factorization-of-matrices-using-generalized-round-rank-1805.00184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compact-factorization-of-matrices-using-generalized-round-rank-1805.00184"/></url>
<url><loc>https://scifaro.com/en/abs/compressed-dictionary-learning-1805.00692</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressed-dictionary-learning-1805.00692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressed-dictionary-learning-1805.00692"/></url>
<url><loc>https://scifaro.com/en/abs/cobras-ts-a-new-approach-to-semi-supervised-clustering-of-time-series-1805.00779</loc><lastmod>2018-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cobras-ts-a-new-approach-to-semi-supervised-clustering-of-time-series-1805.00779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cobras-ts-a-new-approach-to-semi-supervised-clustering-of-time-series-1805.00779"/></url>
<url><loc>https://scifaro.com/en/abs/an-evaluation-of-classification-and-outlier-detection-algorithms-1805.00811</loc><lastmod>2018-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-evaluation-of-classification-and-outlier-detection-algorithms-1805.00811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-evaluation-of-classification-and-outlier-detection-algorithms-1805.00811"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-cross-dependencies-between-spain-s-regional-tourism-markets-with-an-extension-of-the-gaussian-process-regression-model-1805.00861</loc><lastmod>2018-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-cross-dependencies-between-spain-s-regional-tourism-markets-with-an-extension-of-the-gaussian-process-regression-model-1805.00861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-cross-dependencies-between-spain-s-regional-tourism-markets-with-an-extension-of-the-gaussian-process-regression-model-1805.00861"/></url>
<url><loc>https://scifaro.com/en/abs/a-dynamic-model-for-traffic-flow-prediction-using-improved-drn-1805.00868</loc><lastmod>2018-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dynamic-model-for-traffic-flow-prediction-using-improved-drn-1805.00868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dynamic-model-for-traffic-flow-prediction-using-improved-drn-1805.00868"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-tourism-demand-to-spain-with-machine-learning-techniques-the-impact-of-forecast-horizon-on-model-selection-1805.00878</loc><lastmod>2018-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-tourism-demand-to-spain-with-machine-learning-techniques-the-impact-of-forecast-horizon-on-model-selection-1805.00878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-tourism-demand-to-spain-with-machine-learning-techniques-the-impact-of-forecast-horizon-on-model-selection-1805.00878"/></url>
<url><loc>https://scifaro.com/en/abs/ai-safety-via-debate-1805.00899</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ai-safety-via-debate-1805.00899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ai-safety-via-debate-1805.00899"/></url>
<url><loc>https://scifaro.com/en/abs/trainability-and-accuracy-of-neural-networks-an-interacting-particle-system-approach-1805.00915</loc><lastmod>2023-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trainability-and-accuracy-of-neural-networks-an-interacting-particle-system-approach-1805.00915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trainability-and-accuracy-of-neural-networks-an-interacting-particle-system-approach-1805.00915"/></url>
<url><loc>https://scifaro.com/en/abs/a-scalable-discrete-time-survival-model-for-neural-networks-1805.00917</loc><lastmod>2020-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-scalable-discrete-time-survival-model-for-neural-networks-1805.00917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-scalable-discrete-time-survival-model-for-neural-networks-1805.00917"/></url>
<url><loc>https://scifaro.com/en/abs/alpha-beta-divergence-for-variational-inference-1805.01045</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alpha-beta-divergence-for-variational-inference-1805.01045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alpha-beta-divergence-for-variational-inference-1805.01045"/></url>
<url><loc>https://scifaro.com/en/abs/exploration-of-numerical-precision-in-deep-neural-networks-1805.01078</loc><lastmod>2018-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploration-of-numerical-precision-in-deep-neural-networks-1805.01078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploration-of-numerical-precision-in-deep-neural-networks-1805.01078"/></url>
<url><loc>https://scifaro.com/en/abs/graph-bayesian-optimization-algorithms-evaluations-and-applications-1805.01157</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-bayesian-optimization-algorithms-evaluations-and-applications-1805.01157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-bayesian-optimization-algorithms-evaluations-and-applications-1805.01157"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-of-computational-budget-for-power-system-risk-assessment-1805.01174</loc><lastmod>2018-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-of-computational-budget-for-power-system-risk-assessment-1805.01174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-of-computational-budget-for-power-system-risk-assessment-1805.01174"/></url>
<url><loc>https://scifaro.com/en/abs/noisin-unbiased-regularization-for-recurrent-neural-networks-1805.01500</loc><lastmod>2018-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisin-unbiased-regularization-for-recurrent-neural-networks-1805.01500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisin-unbiased-regularization-for-recurrent-neural-networks-1805.01500"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-assertive-regression-1805.01618</loc><lastmod>2018-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-assertive-regression-1805.01618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-assertive-regression-1805.01618"/></url>
<url><loc>https://scifaro.com/en/abs/sharp-convergence-rates-for-langevin-dynamics-in-the-nonconvex-setting-1805.01648</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sharp-convergence-rates-for-langevin-dynamics-in-the-nonconvex-setting-1805.01648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sharp-convergence-rates-for-langevin-dynamics-in-the-nonconvex-setting-1805.01648"/></url>
<url><loc>https://scifaro.com/en/abs/a-brief-introduction-to-the-grey-machine-learning-1805.01745</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-brief-introduction-to-the-grey-machine-learning-1805.01745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-brief-introduction-to-the-grey-machine-learning-1805.01745"/></url>
<url><loc>https://scifaro.com/en/abs/inference-for-l-2-boosting-1805.01852</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-for-l-2-boosting-1805.01852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-for-l-2-boosting-1805.01852"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-active-learning-for-choice-models-with-deep-gaussian-processes-1805.01867</loc><lastmod>2018-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-active-learning-for-choice-models-with-deep-gaussian-processes-1805.01867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-active-learning-for-choice-models-with-deep-gaussian-processes-1805.01867"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-the-regularization-effect-of-weight-pruning-in-artificial-neural-networks-1805.01930</loc><lastmod>2018-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-the-regularization-effect-of-weight-pruning-in-artificial-neural-networks-1805.01930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-the-regularization-effect-of-weight-pruning-in-artificial-neural-networks-1805.01930"/></url>
<url><loc>https://scifaro.com/en/abs/a-constraint-based-algorithm-for-causal-discovery-with-cycles-latent-variables-and-selection-bias-1805.02087</loc><lastmod>2018-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-constraint-based-algorithm-for-causal-discovery-with-cycles-latent-variables-and-selection-bias-1805.02087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-constraint-based-algorithm-for-causal-discovery-with-cycles-latent-variables-and-selection-bias-1805.02087"/></url>
<url><loc>https://scifaro.com/en/abs/population-anomaly-detection-through-deep-gaussianization-1805.02123</loc><lastmod>2018-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/population-anomaly-detection-through-deep-gaussianization-1805.02123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/population-anomaly-detection-through-deep-gaussianization-1805.02123"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-classification-of-object-code-using-machine-learning-1805.02146</loc><lastmod>2018-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-classification-of-object-code-using-machine-learning-1805.02146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-classification-of-object-code-using-machine-learning-1805.02146"/></url>
<url><loc>https://scifaro.com/en/abs/branching-embedding-a-heuristic-dimensionality-reduction-algorithm-based-on-hierarchical-clustering-1805.02161</loc><lastmod>2018-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/branching-embedding-a-heuristic-dimensionality-reduction-algorithm-based-on-hierarchical-clustering-1805.02161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/branching-embedding-a-heuristic-dimensionality-reduction-algorithm-based-on-hierarchical-clustering-1805.02161"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-regularization-for-graphical-models-with-unequal-shrinkage-1805.02257</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-regularization-for-graphical-models-with-unequal-shrinkage-1805.02257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-regularization-for-graphical-models-with-unequal-shrinkage-1805.02257"/></url>
<url><loc>https://scifaro.com/en/abs/sharp-analysis-of-a-simple-model-for-random-forests-1805.02587</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sharp-analysis-of-a-simple-model-for-random-forests-1805.02587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sharp-analysis-of-a-simple-model-for-random-forests-1805.02587"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-dengue-vector-population-using-remotely-sensed-data-and-machine-learning-1805.02590</loc><lastmod>2018-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-dengue-vector-population-using-remotely-sensed-data-and-machine-learning-1805.02590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-dengue-vector-population-using-remotely-sensed-data-and-machine-learning-1805.02590"/></url>
<url><loc>https://scifaro.com/en/abs/regan-re-lax-bar-inforce-based-sequence-generation-using-gans-1805.02788</loc><lastmod>2018-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regan-re-lax-bar-inforce-based-sequence-generation-using-gans-1805.02788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regan-re-lax-bar-inforce-based-sequence-generation-using-gans-1805.02788"/></url>
<url><loc>https://scifaro.com/en/abs/fighting-accounting-fraud-through-forensic-data-analytics-1805.02840</loc><lastmod>2018-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fighting-accounting-fraud-through-forensic-data-analytics-1805.02840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fighting-accounting-fraud-through-forensic-data-analytics-1805.02840"/></url>
<url><loc>https://scifaro.com/en/abs/identifiability-of-generalized-hypergeometric-distribution-ghd-directed-acyclic-graphical-models-1805.02848</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifiability-of-generalized-hypergeometric-distribution-ghd-directed-acyclic-graphical-models-1805.02848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifiability-of-generalized-hypergeometric-distribution-ghd-directed-acyclic-graphical-models-1805.02848"/></url>
<url><loc>https://scifaro.com/en/abs/profitable-bandits-1805.02908</loc><lastmod>2018-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/profitable-bandits-1805.02908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/profitable-bandits-1805.02908"/></url>
<url><loc>https://scifaro.com/en/abs/differential-equations-for-modeling-asynchronous-algorithms-1805.02991</loc><lastmod>2018-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differential-equations-for-modeling-asynchronous-algorithms-1805.02991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differential-equations-for-modeling-asynchronous-algorithms-1805.02991"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-online-learning-for-large-scale-peptide-identification-1805.03006</loc><lastmod>2018-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-online-learning-for-large-scale-peptide-identification-1805.03006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-online-learning-for-large-scale-peptide-identification-1805.03006"/></url>
<url><loc>https://scifaro.com/en/abs/dealing-with-categorical-and-integer-valued-variables-in-bayesian-optimization-with-gaussian-processes-1805.03463</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dealing-with-categorical-and-integer-valued-variables-in-bayesian-optimization-with-gaussian-processes-1805.03463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dealing-with-categorical-and-integer-valued-variables-in-bayesian-optimization-with-gaussian-processes-1805.03463"/></url>
<url><loc>https://scifaro.com/en/abs/loss-calibrated-approximate-inference-in-bayesian-neural-networks-1805.03901</loc><lastmod>2018-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loss-calibrated-approximate-inference-in-bayesian-neural-networks-1805.03901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loss-calibrated-approximate-inference-in-bayesian-neural-networks-1805.03901"/></url>
<url><loc>https://scifaro.com/en/abs/labelling-as-an-unsupervised-learning-problem-1805.03911</loc><lastmod>2018-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/labelling-as-an-unsupervised-learning-problem-1805.03911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/labelling-as-an-unsupervised-learning-problem-1805.03911"/></url>
<url><loc>https://scifaro.com/en/abs/fast-rates-of-erm-and-stochastic-approximation-adaptive-to-error-bound-conditions-1805.04577</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-rates-of-erm-and-stochastic-approximation-adaptive-to-error-bound-conditions-1805.04577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-rates-of-erm-and-stochastic-approximation-adaptive-to-error-bound-conditions-1805.04577"/></url>
<url><loc>https://scifaro.com/en/abs/tensormachine-probabilistic-boolean-tensor-decomposition-1805.04582</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensormachine-probabilistic-boolean-tensor-decomposition-1805.04582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensormachine-probabilistic-boolean-tensor-decomposition-1805.04582"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-scalable-models-of-microbiome-dynamics-1805.04591</loc><lastmod>2020-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-scalable-models-of-microbiome-dynamics-1805.04591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-scalable-models-of-microbiome-dynamics-1805.04591"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-learning-framework-using-cloud-computing-1805.04754</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-learning-framework-using-cloud-computing-1805.04754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-learning-framework-using-cloud-computing-1805.04754"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-and-effective-model-based-variable-importance-measure-1805.04755</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-and-effective-model-based-variable-importance-measure-1805.04755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-and-effective-model-based-variable-importance-measure-1805.04755"/></url>
<url><loc>https://scifaro.com/en/abs/born-again-neural-networks-1805.04770</loc><lastmod>2024-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/born-again-neural-networks-1805.04770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/born-again-neural-networks-1805.04770"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimal-policy-for-dynamic-assortment-planning-under-uncapacitated-multinomial-logit-models-1805.04785</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimal-policy-for-dynamic-assortment-planning-under-uncapacitated-multinomial-logit-models-1805.04785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimal-policy-for-dynamic-assortment-planning-under-uncapacitated-multinomial-logit-models-1805.04785"/></url>
<url><loc>https://scifaro.com/en/abs/gan-q-learning-1805.04874</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gan-q-learning-1805.04874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gan-q-learning-1805.04874"/></url>
<url><loc>https://scifaro.com/en/abs/extendable-neural-matrix-completion-1805.04912</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extendable-neural-matrix-completion-1805.04912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extendable-neural-matrix-completion-1805.04912"/></url>
<url><loc>https://scifaro.com/en/abs/lehmer-transform-and-its-theoretical-properties-1805.04927</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lehmer-transform-and-its-theoretical-properties-1805.04927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lehmer-transform-and-its-theoretical-properties-1805.04927"/></url>
<url><loc>https://scifaro.com/en/abs/index-set-fourier-series-features-for-approximating-multi-dimensional-periodic-kernels-1805.04982</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/index-set-fourier-series-features-for-approximating-multi-dimensional-periodic-kernels-1805.04982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/index-set-fourier-series-features-for-approximating-multi-dimensional-periodic-kernels-1805.04982"/></url>
<url><loc>https://scifaro.com/en/abs/a-one-class-classification-decision-tree-based-on-kernel-density-estimation-1805.05021</loc><lastmod>2020-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-one-class-classification-decision-tree-based-on-kernel-density-estimation-1805.05021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-one-class-classification-decision-tree-based-on-kernel-density-estimation-1805.05021"/></url>
<url><loc>https://scifaro.com/en/abs/kl-ucb-switch-optimal-regret-bounds-for-stochastic-bandits-from-both-a-distribution-dependent-and-a-distribution-free-viewpoints-1805.05071</loc><lastmod>2022-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kl-ucb-switch-optimal-regret-bounds-for-stochastic-bandits-from-both-a-distribution-dependent-and-a-distribution-free-viewpoints-1805.05071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kl-ucb-switch-optimal-regret-bounds-for-stochastic-bandits-from-both-a-distribution-dependent-and-a-distribution-free-viewpoints-1805.05071"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-forests-for-better-conditioned-adversarial-learning-1805.05185</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-forests-for-better-conditioned-adversarial-learning-1805.05185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-forests-for-better-conditioned-adversarial-learning-1805.05185"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-smoothing-svrg-for-large-scale-nonsmooth-convex-optimization-1805.05189</loc><lastmod>2018-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-smoothing-svrg-for-large-scale-nonsmooth-convex-optimization-1805.05189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-smoothing-svrg-for-large-scale-nonsmooth-convex-optimization-1805.05189"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-bayesian-on-line-changepoint-detection-with-model-selection-1805.05383</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-bayesian-on-line-changepoint-detection-with-model-selection-1805.05383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-bayesian-on-line-changepoint-detection-with-model-selection-1805.05383"/></url>
<url><loc>https://scifaro.com/en/abs/the-hierarchical-adaptive-forgetting-variational-filter-1805.05703</loc><lastmod>2018-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-hierarchical-adaptive-forgetting-variational-filter-1805.05703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-hierarchical-adaptive-forgetting-variational-filter-1805.05703"/></url>
<url><loc>https://scifaro.com/en/abs/shade-information-based-regularization-for-deep-learning-1805.05814</loc><lastmod>2018-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shade-information-based-regularization-for-deep-learning-1805.05814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shade-information-based-regularization-for-deep-learning-1805.05814"/></url>
<url><loc>https://scifaro.com/en/abs/graph-signal-sampling-via-reinforcement-learning-1805.05827</loc><lastmod>2018-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-signal-sampling-via-reinforcement-learning-1805.05827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-signal-sampling-via-reinforcement-learning-1805.05827"/></url>
<url><loc>https://scifaro.com/en/abs/towards-explaining-anomalies-a-deep-taylor-decomposition-of-one-class-models-1805.06230</loc><lastmod>2020-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-explaining-anomalies-a-deep-taylor-decomposition-of-one-class-models-1805.06230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-explaining-anomalies-a-deep-taylor-decomposition-of-one-class-models-1805.06230"/></url>
<url><loc>https://scifaro.com/en/abs/structured-nonlinear-variable-selection-1805.06258</loc><lastmod>2018-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-nonlinear-variable-selection-1805.06258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-nonlinear-variable-selection-1805.06258"/></url>
<url><loc>https://scifaro.com/en/abs/change-detection-in-graph-streams-by-learning-graph-embeddings-on-constant-curvature-manifolds-1805.06299</loc><lastmod>2024-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/change-detection-in-graph-streams-by-learning-graph-embeddings-on-constant-curvature-manifolds-1805.06299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/change-detection-in-graph-streams-by-learning-graph-embeddings-on-constant-curvature-manifolds-1805.06299"/></url>
<url><loc>https://scifaro.com/en/abs/progress-compress-a-scalable-framework-for-continual-learning-1805.06370</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/progress-compress-a-scalable-framework-for-continual-learning-1805.06370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/progress-compress-a-scalable-framework-for-continual-learning-1805.06370"/></url>
<url><loc>https://scifaro.com/en/abs/neural-multi-scale-image-compression-1805.06386</loc><lastmod>2018-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-multi-scale-image-compression-1805.06386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-multi-scale-image-compression-1805.06386"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-rule-reshaping-1805.06439</loc><lastmod>2018-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-rule-reshaping-1805.06439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-rule-reshaping-1805.06439"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-learning-networks-deep-learning-for-tabular-datasets-1805.06440</loc><lastmod>2018-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-learning-networks-deep-learning-for-tabular-datasets-1805.06440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-learning-networks-deep-learning-for-tabular-datasets-1805.06440"/></url>
<url><loc>https://scifaro.com/en/abs/mad-max-affine-spline-insights-into-deep-learning-1805.06576</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mad-max-affine-spline-insights-into-deep-learning-1805.06576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mad-max-affine-spline-insights-into-deep-learning-1805.06576"/></url>
<url><loc>https://scifaro.com/en/abs/covariance-insured-screening-1805.06595</loc><lastmod>2018-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covariance-insured-screening-1805.06595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covariance-insured-screening-1805.06595"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-embedding-of-knowledge-graphs-with-box-lattice-measures-1805.06627</loc><lastmod>2018-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-embedding-of-knowledge-graphs-with-box-lattice-measures-1805.06627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-embedding-of-knowledge-graphs-with-box-lattice-measures-1805.06627"/></url>
<url><loc>https://scifaro.com/en/abs/single-shot-active-learning-using-pseudo-annotators-1805.06660</loc><lastmod>2018-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/single-shot-active-learning-using-pseudo-annotators-1805.06660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/single-shot-active-learning-using-pseudo-annotators-1805.06660"/></url>
<url><loc>https://scifaro.com/en/abs/interpolatron-interpolation-or-extrapolation-schemes-to-accelerate-optimization-for-deep-neural-networks-1805.06753</loc><lastmod>2018-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpolatron-interpolation-or-extrapolation-schemes-to-accelerate-optimization-for-deep-neural-networks-1805.06753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpolatron-interpolation-or-extrapolation-schemes-to-accelerate-optimization-for-deep-neural-networks-1805.06753"/></url>
<url><loc>https://scifaro.com/en/abs/the-blessings-of-multiple-causes-1805.06826</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-blessings-of-multiple-causes-1805.06826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-blessings-of-multiple-causes-1805.06826"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-algorithm-with-minimax-optimal-guarantees-for-topic-models-with-an-unknown-number-of-topics-1805.06837</loc><lastmod>2019-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-algorithm-with-minimax-optimal-guarantees-for-topic-models-with-an-unknown-number-of-topics-1805.06837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-algorithm-with-minimax-optimal-guarantees-for-topic-models-with-an-unknown-number-of-topics-1805.06837"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-feature-scaling-method-for-supervised-dimensionality-reduction-1805.07006</loc><lastmod>2018-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-feature-scaling-method-for-supervised-dimensionality-reduction-1805.07006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-feature-scaling-method-for-supervised-dimensionality-reduction-1805.07006"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-joint-spike-and-slab-graphical-lasso-1805.07051</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-joint-spike-and-slab-graphical-lasso-1805.07051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-joint-spike-and-slab-graphical-lasso-1805.07051"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-for-generalization-in-machine-learning-with-cross-validation-gradients-1805.07072</loc><lastmod>2018-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-for-generalization-in-machine-learning-with-cross-validation-gradients-1805.07072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-for-generalization-in-machine-learning-with-cross-validation-gradients-1805.07072"/></url>
<url><loc>https://scifaro.com/en/abs/change-point-methods-on-a-sequence-of-graphs-1805.07113</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/change-point-methods-on-a-sequence-of-graphs-1805.07113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/change-point-methods-on-a-sequence-of-graphs-1805.07113"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-discovery-from-layered-neural-networks-based-on-non-negative-task-decomposition-1805.07137</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-discovery-from-layered-neural-networks-based-on-non-negative-task-decomposition-1805.07137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-discovery-from-layered-neural-networks-based-on-non-negative-task-decomposition-1805.07137"/></url>
<url><loc>https://scifaro.com/en/abs/markov-chain-importance-sampling-a-highly-efficient-estimator-for-mcmc-1805.07179</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-chain-importance-sampling-a-highly-efficient-estimator-for-mcmc-1805.07179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-chain-importance-sampling-a-highly-efficient-estimator-for-mcmc-1805.07179"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-bayesian-inference-in-spatial-environments-1805.07206</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-bayesian-inference-in-spatial-environments-1805.07206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-bayesian-inference-in-spatial-environments-1805.07206"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-neural-likelihood-fast-likelihood-free-inference-with-autoregressive-flows-1805.07226</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-neural-likelihood-fast-likelihood-free-inference-with-autoregressive-flows-1805.07226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-neural-likelihood-fast-likelihood-free-inference-with-autoregressive-flows-1805.07226"/></url>
<url><loc>https://scifaro.com/en/abs/siamese-capsule-networks-1805.07242</loc><lastmod>2018-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/siamese-capsule-networks-1805.07242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/siamese-capsule-networks-1805.07242"/></url>
<url><loc>https://scifaro.com/en/abs/multitaper-spectral-estimation-hdp-hmms-for-eeg-sleep-inference-1805.07300</loc><lastmod>2018-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multitaper-spectral-estimation-hdp-hmms-for-eeg-sleep-inference-1805.07300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multitaper-spectral-estimation-hdp-hmms-for-eeg-sleep-inference-1805.07300"/></url>
<url><loc>https://scifaro.com/en/abs/reconstruction-of-training-samples-from-loss-functions-1805.07337</loc><lastmod>2018-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconstruction-of-training-samples-from-loss-functions-1805.07337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconstruction-of-training-samples-from-loss-functions-1805.07337"/></url>
<url><loc>https://scifaro.com/en/abs/accurate-kernel-learning-for-linear-gaussian-markov-processes-using-a-scalable-likelihood-computation-1805.07346</loc><lastmod>2018-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accurate-kernel-learning-for-linear-gaussian-markov-processes-using-a-scalable-likelihood-computation-1805.07346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accurate-kernel-learning-for-linear-gaussian-markov-processes-using-a-scalable-likelihood-computation-1805.07346"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-for-estimating-trends-in-global-temperature-volatility-1805.07376</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-for-estimating-trends-in-global-temperature-volatility-1805.07376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-for-estimating-trends-in-global-temperature-volatility-1805.07376"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-collaborate-for-user-controlled-privacy-1805.07410</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-collaborate-for-user-controlled-privacy-1805.07410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-collaborate-for-user-controlled-privacy-1805.07410"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-measure-coresets-1805.07412</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-measure-coresets-1805.07412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-measure-coresets-1805.07412"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-learning-of-principal-curves-summarizing-data-streams-on-the-fly-1805.07418</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-learning-of-principal-curves-summarizing-data-streams-on-the-fly-1805.07418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-learning-of-principal-curves-summarizing-data-streams-on-the-fly-1805.07418"/></url>
<url><loc>https://scifaro.com/en/abs/region-based-classification-of-polsar-data-using-radial-basis-kernel-functions-with-stochastic-distances-1805.07438</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/region-based-classification-of-polsar-data-using-radial-basis-kernel-functions-with-stochastic-distances-1805.07438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/region-based-classification-of-polsar-data-using-radial-basis-kernel-functions-with-stochastic-distances-1805.07438"/></url>
<url><loc>https://scifaro.com/en/abs/dvae-discrete-variational-autoencoders-with-relaxed-boltzmann-priors-1805.07445</loc><lastmod>2018-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dvae-discrete-variational-autoencoders-with-relaxed-boltzmann-priors-1805.07445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dvae-discrete-variational-autoencoders-with-relaxed-boltzmann-priors-1805.07445"/></url>
<url><loc>https://scifaro.com/en/abs/fisher-efficient-inference-of-intractable-models-1805.07454</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fisher-efficient-inference-of-intractable-models-1805.07454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fisher-efficient-inference-of-intractable-models-1805.07454"/></url>
<url><loc>https://scifaro.com/en/abs/pg-ts-improved-thompson-sampling-for-logistic-contextual-bandits-1805.07458</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pg-ts-improved-thompson-sampling-for-logistic-contextual-bandits-1805.07458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pg-ts-improved-thompson-sampling-for-logistic-contextual-bandits-1805.07458"/></url>
<url><loc>https://scifaro.com/en/abs/fast-kernel-approximations-for-latent-force-models-and-convolved-multiple-output-gaussian-processes-1805.07460</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-kernel-approximations-for-latent-force-models-and-convolved-multiple-output-gaussian-processes-1805.07460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-kernel-approximations-for-latent-force-models-and-convolved-multiple-output-gaussian-processes-1805.07460"/></url>
<url><loc>https://scifaro.com/en/abs/projection-free-bandit-convex-optimization-1805.07474</loc><lastmod>2018-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projection-free-bandit-convex-optimization-1805.07474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projection-free-bandit-convex-optimization-1805.07474"/></url>
<url><loc>https://scifaro.com/en/abs/contour-location-via-entropy-reduction-leveraging-multiple-information-sources-1805.07489</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contour-location-via-entropy-reduction-leveraging-multiple-information-sources-1805.07489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contour-location-via-entropy-reduction-leveraging-multiple-information-sources-1805.07489"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-non-normalized-mixture-models-and-clustering-using-deep-representation-1805.07516</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-non-normalized-mixture-models-and-clustering-using-deep-representation-1805.07516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-non-normalized-mixture-models-and-clustering-using-deep-representation-1805.07516"/></url>
<url><loc>https://scifaro.com/en/abs/the-global-optimum-of-shallow-neural-network-is-attained-by-ridgelet-transform-1805.07517</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-global-optimum-of-shallow-neural-network-is-attained-by-ridgelet-transform-1805.07517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-global-optimum-of-shallow-neural-network-is-attained-by-ridgelet-transform-1805.07517"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-network-embeddings-1805.07544</loc><lastmod>2018-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-network-embeddings-1805.07544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-network-embeddings-1805.07544"/></url>
<url><loc>https://scifaro.com/en/abs/chief-complaint-classification-with-recurrent-neural-networks-1805.07574</loc><lastmod>2018-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chief-complaint-classification-with-recurrent-neural-networks-1805.07574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chief-complaint-classification-with-recurrent-neural-networks-1805.07574"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-point-embeddings-using-the-wasserstein-space-of-elliptical-distributions-1805.07594</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-point-embeddings-using-the-wasserstein-space-of-elliptical-distributions-1805.07594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-point-embeddings-using-the-wasserstein-space-of-elliptical-distributions-1805.07594"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generative-markov-state-models-1805.07601</loc><lastmod>2019-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generative-markov-state-models-1805.07601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generative-markov-state-models-1805.07601"/></url>
<url><loc>https://scifaro.com/en/abs/do-neural-network-cross-modal-mappings-really-bridge-modalities-1805.07616</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-neural-network-cross-modal-mappings-really-bridge-modalities-1805.07616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-neural-network-cross-modal-mappings-really-bridge-modalities-1805.07616"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-multi-output-gaussian-process-prediction-1805.07633</loc><lastmod>2019-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-multi-output-gaussian-process-prediction-1805.07633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-multi-output-gaussian-process-prediction-1805.07633"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-free-variational-inference-of-bayesian-neural-networks-by-variance-backpropagation-1805.07654</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-free-variational-inference-of-bayesian-neural-networks-by-variance-backpropagation-1805.07654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-free-variational-inference-of-bayesian-neural-networks-by-variance-backpropagation-1805.07654"/></url>
<url><loc>https://scifaro.com/en/abs/bourgan-generative-networks-with-metric-embeddings-1805.07674</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bourgan-generative-networks-with-metric-embeddings-1805.07674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bourgan-generative-networks-with-metric-embeddings-1805.07674"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-drug-response-of-tumors-from-integrated-genomic-profiles-by-deep-neural-networks-1805.07702</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-drug-response-of-tumors-from-integrated-genomic-profiles-by-deep-neural-networks-1805.07702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-drug-response-of-tumors-from-integrated-genomic-profiles-by-deep-neural-networks-1805.07702"/></url>
<url><loc>https://scifaro.com/en/abs/human-guided-data-exploration-using-randomisation-1805.07725</loc><lastmod>2019-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-guided-data-exploration-using-randomisation-1805.07725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-guided-data-exploration-using-randomisation-1805.07725"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-inference-in-pre-trained-variational-autoencoders-via-cross-coding-1805.07785</loc><lastmod>2018-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-inference-in-pre-trained-variational-autoencoders-via-cross-coding-1805.07785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-inference-in-pre-trained-variational-autoencoders-via-cross-coding-1805.07785"/></url>
<url><loc>https://scifaro.com/en/abs/online-structured-laplace-approximations-for-overcoming-catastrophic-forgetting-1805.07810</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-structured-laplace-approximations-for-overcoming-catastrophic-forgetting-1805.07810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-structured-laplace-approximations-for-overcoming-catastrophic-forgetting-1805.07810"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-regularization-for-sparse-multi-task-regression-1805.07833</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-regularization-for-sparse-multi-task-regression-1805.07833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-regularization-for-sparse-multi-task-regression-1805.07833"/></url>
<url><loc>https://scifaro.com/en/abs/projection-free-algorithms-in-statistical-estimation-1805.07844</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projection-free-algorithms-in-statistical-estimation-1805.07844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projection-free-algorithms-in-statistical-estimation-1805.07844"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-bayesian-optimization-throughweight-prior-tuning-1805.07852</loc><lastmod>2020-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-bayesian-optimization-throughweight-prior-tuning-1805.07852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-bayesian-optimization-throughweight-prior-tuning-1805.07852"/></url>
<url><loc>https://scifaro.com/en/abs/learning-device-models-with-recurrent-neural-networks-1805.07869</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-device-models-with-recurrent-neural-networks-1805.07869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-device-models-with-recurrent-neural-networks-1805.07869"/></url>
<url><loc>https://scifaro.com/en/abs/gsae-an-autoencoder-with-embedded-gene-set-nodes-for-genomics-functional-characterization-1805.07874</loc><lastmod>2019-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gsae-an-autoencoder-with-embedded-gene-set-nodes-for-genomics-functional-characterization-1805.07874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gsae-an-autoencoder-with-embedded-gene-set-nodes-for-genomics-functional-characterization-1805.07874"/></url>
<url><loc>https://scifaro.com/en/abs/how-many-samples-are-needed-to-estimate-a-convolutional-or-recurrent-neural-network-1805.07883</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-many-samples-are-needed-to-estimate-a-convolutional-or-recurrent-neural-network-1805.07883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-many-samples-are-needed-to-estimate-a-convolutional-or-recurrent-neural-network-1805.07883"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-posterior-approximation-via-greedy-particle-optimization-1805.07912</loc><lastmod>2019-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-posterior-approximation-via-greedy-particle-optimization-1805.07912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-posterior-approximation-via-greedy-particle-optimization-1805.07912"/></url>
<url><loc>https://scifaro.com/en/abs/transductive-boltzmann-machines-1805.07938</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transductive-boltzmann-machines-1805.07938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transductive-boltzmann-machines-1805.07938"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-descent-for-stochastic-doubly-nonconvex-composite-optimization-1805.07960</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-descent-for-stochastic-doubly-nonconvex-composite-optimization-1805.07960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-descent-for-stochastic-doubly-nonconvex-composite-optimization-1805.07960"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attacks-on-neural-networks-for-graph-data-1805.07984</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-on-neural-networks-for-graph-data-1805.07984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-on-neural-networks-for-graph-data-1805.07984"/></url>
<url><loc>https://scifaro.com/en/abs/super-learning-in-the-sas-system-1805.08058</loc><lastmod>2019-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/super-learning-in-the-sas-system-1805.08058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/super-learning-in-the-sas-system-1805.08058"/></url>
<url><loc>https://scifaro.com/en/abs/graph-capsule-convolutional-neural-networks-1805.08090</loc><lastmod>2018-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-capsule-convolutional-neural-networks-1805.08090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-capsule-convolutional-neural-networks-1805.08090"/></url>
<url><loc>https://scifaro.com/en/abs/pips-a-kernel-based-optimization-scheme-for-analyzing-non-stationary-1d-signals-1805.08102</loc><lastmod>2022-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pips-a-kernel-based-optimization-scheme-for-analyzing-non-stationary-1d-signals-1805.08102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pips-a-kernel-based-optimization-scheme-for-analyzing-non-stationary-1d-signals-1805.08102"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-stochastic-gradient-descent-with-adaptive-stepsizes-1805.08114</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-stochastic-gradient-descent-with-adaptive-stepsizes-1805.08114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-stochastic-gradient-descent-with-adaptive-stepsizes-1805.08114"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-family-of-robust-stochastic-operators-for-reinforcement-learning-1805.08122</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-family-of-robust-stochastic-operators-for-reinforcement-learning-1805.08122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-family-of-robust-stochastic-operators-for-reinforcement-learning-1805.08122"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-modified-equations-for-the-asynchronous-stochastic-gradient-descent-1805.08244</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-modified-equations-for-the-asynchronous-stochastic-gradient-descent-1805.08244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-modified-equations-for-the-asynchronous-stochastic-gradient-descent-1805.08244"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-selection-of-initialization-and-activation-function-for-deep-neural-networks-1805.08266</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-selection-of-initialization-and-activation-function-for-deep-neural-networks-1805.08266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-selection-of-initialization-and-activation-function-for-deep-neural-networks-1805.08266"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-causal-inference-with-latent-confounding-1805.08273</loc><lastmod>2019-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-causal-inference-with-latent-confounding-1805.08273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-causal-inference-with-latent-confounding-1805.08273"/></url>
<url><loc>https://scifaro.com/en/abs/deep-energy-estimator-networks-1805.08306</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-energy-estimator-networks-1805.08306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-energy-estimator-networks-1805.08306"/></url>
<url><loc>https://scifaro.com/en/abs/self-attention-generative-adversarial-networks-1805.08318</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-attention-generative-adversarial-networks-1805.08318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-attention-generative-adversarial-networks-1805.08318"/></url>
<url><loc>https://scifaro.com/en/abs/robust-gradient-descent-via-moment-encoding-with-ldpc-codes-1805.08327</loc><lastmod>2019-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-gradient-descent-via-moment-encoding-with-ldpc-codes-1805.08327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-gradient-descent-via-moment-encoding-with-ldpc-codes-1805.08327"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-computation-of-means-and-clusters-for-persistence-diagrams-using-optimal-transport-1805.08331</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-computation-of-means-and-clusters-for-persistence-diagrams-using-optimal-transport-1805.08331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-computation-of-means-and-clusters-for-persistence-diagrams-using-optimal-transport-1805.08331"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-parameter-space-for-neural-network-training-1805.08340</loc><lastmod>2020-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-parameter-space-for-neural-network-training-1805.08340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-parameter-space-for-neural-network-training-1805.08340"/></url>
<url><loc>https://scifaro.com/en/abs/variational-learning-on-aggregate-outputs-with-gaussian-processes-1805.08463</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-learning-on-aggregate-outputs-with-gaussian-processes-1805.08463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-learning-on-aggregate-outputs-with-gaussian-processes-1805.08463"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-generalizes-because-the-parameter-function-map-is-biased-towards-simple-functions-1805.08522</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-generalizes-because-the-parameter-function-map-is-biased-towards-simple-functions-1805.08522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-generalizes-because-the-parameter-function-map-is-biased-towards-simple-functions-1805.08522"/></url>
<url><loc>https://scifaro.com/en/abs/safe-element-screening-for-submodular-function-minimization-1805.08527</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-element-screening-for-submodular-function-minimization-1805.08527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-element-screening-for-submodular-function-minimization-1805.08527"/></url>
<url><loc>https://scifaro.com/en/abs/why-should-i-trust-interactive-learners-explaining-interactive-queries-of-classifiers-to-users-1805.08578</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-should-i-trust-interactive-learners-explaining-interactive-queries-of-classifiers-to-users-1805.08578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-should-i-trust-interactive-learners-explaining-interactive-queries-of-classifiers-to-users-1805.08578"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-fast-and-slow-optimally-switching-between-local-and-bayesian-optimization-1805.08610</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-fast-and-slow-optimally-switching-between-local-and-bayesian-optimization-1805.08610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-fast-and-slow-optimally-switching-between-local-and-bayesian-optimization-1805.08610"/></url>
<url><loc>https://scifaro.com/en/abs/multi-statistic-approximate-bayesian-computation-with-multi-armed-bandits-1805.08647</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-statistic-approximate-bayesian-computation-with-multi-armed-bandits-1805.08647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-statistic-approximate-bayesian-computation-with-multi-armed-bandits-1805.08647"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-ica-using-auxiliary-variables-and-generalized-contrastive-learning-1805.08651</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-ica-using-auxiliary-variables-and-generalized-contrastive-learning-1805.08651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-ica-using-auxiliary-variables-and-generalized-contrastive-learning-1805.08651"/></url>
<url><loc>https://scifaro.com/en/abs/lmkl-net-a-fast-localized-multiple-kernel-learning-solver-via-deep-neural-networks-1805.08656</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lmkl-net-a-fast-localized-multiple-kernel-learning-solver-via-deep-neural-networks-1805.08656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lmkl-net-a-fast-localized-multiple-kernel-learning-solver-via-deep-neural-networks-1805.08656"/></url>
<url><loc>https://scifaro.com/en/abs/structured-bayesian-gaussian-process-latent-variable-model-1805.08665</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-bayesian-gaussian-process-latent-variable-model-1805.08665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-bayesian-gaussian-process-latent-variable-model-1805.08665"/></url>
<url><loc>https://scifaro.com/en/abs/adding-one-neuron-can-eliminate-all-bad-local-minima-1805.08671</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adding-one-neuron-can-eliminate-all-bad-local-minima-1805.08671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adding-one-neuron-can-eliminate-all-bad-local-minima-1805.08671"/></url>
<url><loc>https://scifaro.com/en/abs/parsimonious-bayesian-deep-networks-1805.08719</loc><lastmod>2019-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parsimonious-bayesian-deep-networks-1805.08719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parsimonious-bayesian-deep-networks-1805.08719"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-stochastic-gradient-descent-for-learning-with-distributionally-robust-optimization-1805.08728</loc><lastmod>2020-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-stochastic-gradient-descent-for-learning-with-distributionally-robust-optimization-1805.08728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-stochastic-gradient-descent-for-learning-with-distributionally-robust-optimization-1805.08728"/></url>
<url><loc>https://scifaro.com/en/abs/adversarially-robust-training-through-structured-gradient-regularization-1805.08736</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarially-robust-training-through-structured-gradient-regularization-1805.08736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarially-robust-training-through-structured-gradient-regularization-1805.08736"/></url>
<url><loc>https://scifaro.com/en/abs/a-tropical-approach-to-neural-networks-with-piecewise-linear-activations-1805.08749</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tropical-approach-to-neural-networks-with-piecewise-linear-activations-1805.08749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tropical-approach-to-neural-networks-with-piecewise-linear-activations-1805.08749"/></url>
<url><loc>https://scifaro.com/en/abs/deformable-part-networks-1805.08808</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deformable-part-networks-1805.08808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deformable-part-networks-1805.08808"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-mean-embeddings-1805.08845</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-mean-embeddings-1805.08845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-mean-embeddings-1805.08845"/></url>
<url><loc>https://scifaro.com/en/abs/amortized-inference-regularization-1805.08913</loc><lastmod>2019-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amortized-inference-regularization-1805.08913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amortized-inference-regularization-1805.08913"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-aware-active-learning-1805.08916</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-aware-active-learning-1805.08916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-aware-active-learning-1805.08916"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-thompson-sampling-for-graphical-bandits-without-the-graphs-1805.08930</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-thompson-sampling-for-graphical-bandits-without-the-graphs-1805.08930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-thompson-sampling-for-graphical-bandits-without-the-graphs-1805.08930"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-for-post-processing-ensemble-weather-forecasts-1805.09091</loc><lastmod>2019-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-for-post-processing-ensemble-weather-forecasts-1805.09091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-for-post-processing-ensemble-weather-forecasts-1805.09091"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-estimation-of-absorbed-dose-for-nuclear-medicine-diagnostics-1805.09108</loc><lastmod>2026-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-estimation-of-absorbed-dose-for-nuclear-medicine-diagnostics-1805.09108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-estimation-of-absorbed-dose-for-nuclear-medicine-diagnostics-1805.09108"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-transport-for-structured-data-with-application-on-graphs-1805.09114</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-transport-for-structured-data-with-application-on-graphs-1805.09114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-transport-for-structured-data-with-application-on-graphs-1805.09114"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-riemannian-submanifold-learning-with-wrapped-gaussian-process-latent-variable-models-1805.09122</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-riemannian-submanifold-learning-with-wrapped-gaussian-process-latent-variable-models-1805.09122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-riemannian-submanifold-learning-with-wrapped-gaussian-process-latent-variable-models-1805.09122"/></url>
<url><loc>https://scifaro.com/en/abs/on-semi-supervised-learning-1805.09180</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-semi-supervised-learning-1805.09180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-semi-supervised-learning-1805.09180"/></url>
<url><loc>https://scifaro.com/en/abs/pushing-the-bounds-of-dropout-1805.09208</loc><lastmod>2018-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pushing-the-bounds-of-dropout-1805.09208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pushing-the-bounds-of-dropout-1805.09208"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-tree-search-for-asymmetric-trees-1805.09218</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-tree-search-for-asymmetric-trees-1805.09218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-tree-search-for-asymmetric-trees-1805.09218"/></url>
<url><loc>https://scifaro.com/en/abs/highway-state-gating-for-recurrent-highway-networks-improving-information-flow-through-time-1805.09238</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/highway-state-gating-for-recurrent-highway-networks-improving-information-flow-through-time-1805.09238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/highway-state-gating-for-recurrent-highway-networks-improving-information-flow-through-time-1805.09238"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-for-data-efficient-model-learning-in-pomdps-1805.09281</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-for-data-efficient-model-learning-in-pomdps-1805.09281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-for-data-efficient-model-learning-in-pomdps-1805.09281"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-free-inference-with-emulator-networks-1805.09294</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-free-inference-with-emulator-networks-1805.09294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-free-inference-with-emulator-networks-1805.09294"/></url>
<url><loc>https://scifaro.com/en/abs/communication-algorithms-via-deep-learning-1805.09317</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-algorithms-via-deep-learning-1805.09317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-algorithms-via-deep-learning-1805.09317"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-bayesian-learning-for-state-space-models-using-variational-inference-with-smc-samplers-1805.09406</loc><lastmod>2019-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-bayesian-learning-for-state-space-models-using-variational-inference-with-smc-samplers-1805.09406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-bayesian-learning-for-state-space-models-using-variational-inference-with-smc-samplers-1805.09406"/></url>
<url><loc>https://scifaro.com/en/abs/deep-active-learning-for-anomaly-detection-1805.09411</loc><lastmod>2020-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-active-learning-for-anomaly-detection-1805.09411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-active-learning-for-anomaly-detection-1805.09411"/></url>
<url><loc>https://scifaro.com/en/abs/large-data-and-zero-noise-limits-of-graph-based-semi-supervised-learning-algorithms-1805.09450</loc><lastmod>2019-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-data-and-zero-noise-limits-of-graph-based-semi-supervised-learning-algorithms-1805.09450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-data-and-zero-noise-limits-of-graph-based-semi-supervised-learning-algorithms-1805.09450"/></url>
<url><loc>https://scifaro.com/en/abs/cautious-deep-learning-1805.09460</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cautious-deep-learning-1805.09460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cautious-deep-learning-1805.09460"/></url>
<url><loc>https://scifaro.com/en/abs/stable-specification-search-in-structural-equation-model-with-latent-variables-1805.09527</loc><lastmod>2018-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-specification-search-in-structural-equation-model-with-latent-variables-1805.09527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-specification-search-in-structural-equation-model-with-latent-variables-1805.09527"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-probabilistic-model-for-learning-latent-factors-and-their-connectivities-from-high-dimensional-data-1805.09567</loc><lastmod>2018-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-probabilistic-model-for-learning-latent-factors-and-their-connectivities-from-high-dimensional-data-1805.09567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-probabilistic-model-for-learning-latent-factors-and-their-connectivities-from-high-dimensional-data-1805.09567"/></url>
<url><loc>https://scifaro.com/en/abs/primal-dual-wasserstein-gan-1805.09575</loc><lastmod>2018-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/primal-dual-wasserstein-gan-1805.09575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/primal-dual-wasserstein-gan-1805.09575"/></url>
<url><loc>https://scifaro.com/en/abs/a0c-alpha-zero-in-continuous-action-space-1805.09613</loc><lastmod>2018-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a0c-alpha-zero-in-continuous-action-space-1805.09613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a0c-alpha-zero-in-continuous-action-space-1805.09613"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-aware-attention-for-reliable-interpretation-and-prediction-1805.09653</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-aware-attention-for-reliable-interpretation-and-prediction-1805.09653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-aware-attention-for-reliable-interpretation-and-prediction-1805.09653"/></url>
<url><loc>https://scifaro.com/en/abs/been-there-done-that-meta-learning-with-episodic-recall-1805.09692</loc><lastmod>2018-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/been-there-done-that-meta-learning-with-episodic-recall-1805.09692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/been-there-done-that-meta-learning-with-episodic-recall-1805.09692"/></url>
<url><loc>https://scifaro.com/en/abs/learning-classifiers-with-fenchel-young-losses-generalized-entropies-margins-and-algorithms-1805.09717</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-classifiers-with-fenchel-young-losses-generalized-entropies-margins-and-algorithms-1805.09717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-classifiers-with-fenchel-young-losses-generalized-entropies-margins-and-algorithms-1805.09717"/></url>
<url><loc>https://scifaro.com/en/abs/towards-robust-evaluations-of-continual-learning-1805.09733</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-robust-evaluations-of-continual-learning-1805.09733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-robust-evaluations-of-continual-learning-1805.09733"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-inference-in-multi-task-cox-process-models-1805.09781</loc><lastmod>2019-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-inference-in-multi-task-cox-process-models-1805.09781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-inference-in-multi-task-cox-process-models-1805.09781"/></url>
<url><loc>https://scifaro.com/en/abs/learning-nonlinear-brain-dynamics-van-der-pol-meets-lstm-1805.09874</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-nonlinear-brain-dynamics-van-der-pol-meets-lstm-1805.09874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-nonlinear-brain-dynamics-van-der-pol-meets-lstm-1805.09874"/></url>
<url><loc>https://scifaro.com/en/abs/structure-learning-from-time-series-with-false-discovery-control-1805.09909</loc><lastmod>2018-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-learning-from-time-series-with-false-discovery-control-1805.09909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-learning-from-time-series-with-false-discovery-control-1805.09909"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-gan-1805.09910</loc><lastmod>2018-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-gan-1805.09910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-gan-1805.09910"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-determinantal-point-processes-for-recommendation-1805.09916</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-determinantal-point-processes-for-recommendation-1805.09916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-determinantal-point-processes-for-recommendation-1805.09916"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-probabilistic-inference-for-prediction-1805.09921</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-probabilistic-inference-for-prediction-1805.09921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-probabilistic-inference-for-prediction-1805.09921"/></url>
<url><loc>https://scifaro.com/en/abs/topological-data-analysis-of-decision-boundaries-with-application-to-model-selection-1805.09949</loc><lastmod>2018-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topological-data-analysis-of-decision-boundaries-with-application-to-model-selection-1805.09949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topological-data-analysis-of-decision-boundaries-with-application-to-model-selection-1805.09949"/></url>
<url><loc>https://scifaro.com/en/abs/myopic-bayesian-design-of-experiments-via-posterior-sampling-and-probabilistic-programming-1805.09964</loc><lastmod>2018-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/myopic-bayesian-design-of-experiments-via-posterior-sampling-and-probabilistic-programming-1805.09964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/myopic-bayesian-design-of-experiments-via-posterior-sampling-and-probabilistic-programming-1805.09964"/></url>
<url><loc>https://scifaro.com/en/abs/lag-lazily-aggregated-gradient-for-communication-efficient-distributed-learning-1805.09965</loc><lastmod>2018-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lag-lazily-aggregated-gradient-for-communication-efficient-distributed-learning-1805.09965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lag-lazily-aggregated-gradient-for-communication-efficient-distributed-learning-1805.09965"/></url>
<url><loc>https://scifaro.com/en/abs/towards-more-efficient-stochastic-decentralized-learning-faster-convergence-and-sparse-communication-1805.09969</loc><lastmod>2018-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-more-efficient-stochastic-decentralized-learning-faster-convergence-and-sparse-communication-1805.09969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-more-efficient-stochastic-decentralized-learning-faster-convergence-and-sparse-communication-1805.09969"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-cartesian-power-graph-segmentation-for-graphon-estimation-1805.09978</loc><lastmod>2018-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-cartesian-power-graph-segmentation-for-graphon-estimation-1805.09978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-cartesian-power-graph-segmentation-for-graphon-estimation-1805.09978"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-estimation-for-large-scale-multivariate-ornstein-uhlenbeck-model-of-brain-connectivity-1805.10050</loc><lastmod>2018-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-estimation-for-large-scale-multivariate-ornstein-uhlenbeck-model-of-brain-connectivity-1805.10050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-estimation-for-large-scale-multivariate-ornstein-uhlenbeck-model-of-brain-connectivity-1805.10050"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-algorithms-with-descent-guarantees-for-ica-1805.10054</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-algorithms-with-descent-guarantees-for-ica-1805.10054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-algorithms-with-descent-guarantees-for-ica-1805.10054"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-high-dimensional-time-series-data-using-kernel-transfer-operator-eigenfunctions-1805.10118</loc><lastmod>2018-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-high-dimensional-time-series-data-using-kernel-transfer-operator-eigenfunctions-1805.10118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-high-dimensional-time-series-data-using-kernel-transfer-operator-eigenfunctions-1805.10118"/></url>
<url><loc>https://scifaro.com/en/abs/the-reconstruction-approach-from-interpolation-to-regression-1805.10122</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-reconstruction-approach-from-interpolation-to-regression-1805.10122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-reconstruction-approach-from-interpolation-to-regression-1805.10122"/></url>
<url><loc>https://scifaro.com/en/abs/futuristic-classification-with-dynamic-reference-frame-strategy-1805.10168</loc><lastmod>2018-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/futuristic-classification-with-dynamic-reference-frame-strategy-1805.10168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/futuristic-classification-with-dynamic-reference-frame-strategy-1805.10168"/></url>
<url><loc>https://scifaro.com/en/abs/a-lifelong-learning-approach-to-brain-mr-segmentation-across-scanners-and-protocols-1805.10170</loc><lastmod>2018-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-lifelong-learning-approach-to-brain-mr-segmentation-across-scanners-and-protocols-1805.10170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-lifelong-learning-approach-to-brain-mr-segmentation-across-scanners-and-protocols-1805.10170"/></url>
<url><loc>https://scifaro.com/en/abs/maximizing-acquisition-functions-for-bayesian-optimization-1805.10196</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximizing-acquisition-functions-for-bayesian-optimization-1805.10196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximizing-acquisition-functions-for-bayesian-optimization-1805.10196"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-examples-from-computational-constraints-1805.10204</loc><lastmod>2018-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-examples-from-computational-constraints-1805.10204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-examples-from-computational-constraints-1805.10204"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-sentiment-analysis-to-explore-the-structure-of-emotions-1805.10205</loc><lastmod>2018-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-sentiment-analysis-to-explore-the-structure-of-emotions-1805.10205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-sentiment-analysis-to-explore-the-structure-of-emotions-1805.10205"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-estimation-of-entropy-in-the-fastica-algorithm-1805.10206</loc><lastmod>2020-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-estimation-of-entropy-in-the-fastica-algorithm-1805.10206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-estimation-of-entropy-in-the-fastica-algorithm-1805.10206"/></url>
<url><loc>https://scifaro.com/en/abs/multiview-learning-of-weighted-majority-vote-by-bregman-divergence-minimization-1805.10212</loc><lastmod>2018-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiview-learning-of-weighted-majority-vote-by-bregman-divergence-minimization-1805.10212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiview-learning-of-weighted-majority-vote-by-bregman-divergence-minimization-1805.10212"/></url>
<url><loc>https://scifaro.com/en/abs/learning-self-imitating-diverse-policies-1805.10309</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-self-imitating-diverse-policies-1805.10309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-self-imitating-diverse-policies-1805.10309"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-the-accuracy-and-fairness-of-human-decision-making-1805.10318</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-the-accuracy-and-fairness-of-human-decision-making-1805.10318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-the-accuracy-and-fairness-of-human-decision-making-1805.10318"/></url>
<url><loc>https://scifaro.com/en/abs/an-end-to-end-differentially-private-latent-dirichlet-allocation-using-a-spectral-algorithm-1805.10341</loc><lastmod>2020-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-end-to-end-differentially-private-latent-dirichlet-allocation-using-a-spectral-algorithm-1805.10341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-end-to-end-differentially-private-latent-dirichlet-allocation-using-a-spectral-algorithm-1805.10341"/></url>
<url><loc>https://scifaro.com/en/abs/guaranteed-simultaneous-asymmetric-tensor-decomposition-via-orthogonalized-alternating-least-squares-1805.10348</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guaranteed-simultaneous-asymmetric-tensor-decomposition-via-orthogonalized-alternating-least-squares-1805.10348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guaranteed-simultaneous-asymmetric-tensor-decomposition-via-orthogonalized-alternating-least-squares-1805.10348"/></url>
<url><loc>https://scifaro.com/en/abs/tensorial-neural-networks-generalization-of-neural-networks-and-application-to-model-compression-1805.10352</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensorial-neural-networks-generalization-of-neural-networks-and-application-to-model-compression-1805.10352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensorial-neural-networks-generalization-of-neural-networks-and-application-to-model-compression-1805.10352"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-coding-via-the-stochastic-block-model-1805.10378</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-coding-via-the-stochastic-block-model-1805.10378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-coding-via-the-stochastic-block-model-1805.10378"/></url>
<url><loc>https://scifaro.com/en/abs/deep-convolutional-neural-networks-for-map-type-classification-1805.10402</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-convolutional-neural-networks-for-map-type-classification-1805.10402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-convolutional-neural-networks-for-map-type-classification-1805.10402"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-reweighted-wake-sleep-for-models-with-stochastic-control-flow-1805.10469</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-reweighted-wake-sleep-for-models-with-stochastic-control-flow-1805.10469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-reweighted-wake-sleep-for-models-with-stochastic-control-flow-1805.10469"/></url>
<url><loc>https://scifaro.com/en/abs/stable-geodesic-update-on-hyperbolic-space-and-its-application-to-poincare-embeddings-1805.10487</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-geodesic-update-on-hyperbolic-space-and-its-application-to-poincare-embeddings-1805.10487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-geodesic-update-on-hyperbolic-space-and-its-application-to-poincare-embeddings-1805.10487"/></url>
<url><loc>https://scifaro.com/en/abs/calibrating-deep-convolutional-gaussian-processes-1805.10522</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrating-deep-convolutional-gaussian-processes-1805.10522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrating-deep-convolutional-gaussian-processes-1805.10522"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-with-stein-s-unbiased-risk-estimator-1805.10531</loc><lastmod>2020-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-with-stein-s-unbiased-risk-estimator-1805.10531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-with-stein-s-unbiased-risk-estimator-1805.10531"/></url>
<url><loc>https://scifaro.com/en/abs/cpsgd-communication-efficient-and-differentially-private-distributed-sgd-1805.10559</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cpsgd-communication-efficient-and-differentially-private-distributed-sgd-1805.10559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cpsgd-communication-efficient-and-differentially-private-distributed-sgd-1805.10559"/></url>
<url><loc>https://scifaro.com/en/abs/metric-optimized-example-weights-1805.10582</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metric-optimized-example-weights-1805.10582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metric-optimized-example-weights-1805.10582"/></url>
<url><loc>https://scifaro.com/en/abs/robust-hypothesis-testing-using-wasserstein-uncertainty-sets-1805.10611</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-hypothesis-testing-using-wasserstein-uncertainty-sets-1805.10611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-hypothesis-testing-using-wasserstein-uncertainty-sets-1805.10611"/></url>
<url><loc>https://scifaro.com/en/abs/a-local-information-criterion-for-dynamical-systems-1805.10615</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-local-information-criterion-for-dynamical-systems-1805.10615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-local-information-criterion-for-dynamical-systems-1805.10615"/></url>
<url><loc>https://scifaro.com/en/abs/defending-against-adversarial-attacks-by-leveraging-an-entire-gan-1805.10652</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defending-against-adversarial-attacks-by-leveraging-an-entire-gan-1805.10652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defending-against-adversarial-attacks-by-leveraging-an-entire-gan-1805.10652"/></url>
<url><loc>https://scifaro.com/en/abs/exponential-convergence-rates-for-batch-normalization-the-power-of-length-direction-decoupling-in-non-convex-optimization-1805.10694</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-convergence-rates-for-batch-normalization-the-power-of-length-direction-decoupling-in-non-convex-optimization-1805.10694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-convergence-rates-for-batch-normalization-the-power-of-length-direction-decoupling-in-non-convex-optimization-1805.10694"/></url>
<url><loc>https://scifaro.com/en/abs/perceive-your-users-in-depth-learning-universal-user-representations-from-multiple-e-commerce-tasks-1805.10727</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perceive-your-users-in-depth-learning-universal-user-representations-from-multiple-e-commerce-tasks-1805.10727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perceive-your-users-in-depth-learning-universal-user-representations-from-multiple-e-commerce-tasks-1805.10727"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-by-latent-dimensions-1805.10759</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-by-latent-dimensions-1805.10759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-by-latent-dimensions-1805.10759"/></url>
<url><loc>https://scifaro.com/en/abs/sigsoftmax-reanalysis-of-the-softmax-bottleneck-1805.10829</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sigsoftmax-reanalysis-of-the-softmax-bottleneck-1805.10829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sigsoftmax-reanalysis-of-the-softmax-bottleneck-1805.10829"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-learning-with-wasserstein-barycenters-1805.10833</loc><lastmod>2022-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-learning-with-wasserstein-barycenters-1805.10833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-learning-with-wasserstein-barycenters-1805.10833"/></url>
<url><loc>https://scifaro.com/en/abs/a-stochastic-decoder-for-neural-machine-translation-1805.10844</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-stochastic-decoder-for-neural-machine-translation-1805.10844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-stochastic-decoder-for-neural-machine-translation-1805.10844"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-network-sparsification-with-dependent-variational-beta-bernoulli-dropout-1805.10896</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-network-sparsification-with-dependent-variational-beta-bernoulli-dropout-1805.10896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-network-sparsification-with-dependent-variational-beta-bernoulli-dropout-1805.10896"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-influence-estimation-technique-1805.10940</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-influence-estimation-technique-1805.10940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-influence-estimation-technique-1805.10940"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-flow-posteriors-for-variational-inference-in-discrete-dynamical-systems-1805.10958</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-flow-posteriors-for-variational-inference-in-discrete-dynamical-systems-1805.10958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-flow-posteriors-for-variational-inference-in-discrete-dynamical-systems-1805.10958"/></url>
<url><loc>https://scifaro.com/en/abs/lipschitz-regularity-of-deep-neural-networks-analysis-and-efficient-estimation-1805.10965</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lipschitz-regularity-of-deep-neural-networks-analysis-and-efficient-estimation-1805.10965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lipschitz-regularity-of-deep-neural-networks-analysis-and-efficient-estimation-1805.10965"/></url>
<url><loc>https://scifaro.com/en/abs/autoencoding-any-data-through-kernel-autoencoders-1805.11028</loc><lastmod>2020-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoencoding-any-data-through-kernel-autoencoders-1805.11028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoencoding-any-data-through-kernel-autoencoders-1805.11028"/></url>
<url><loc>https://scifaro.com/en/abs/flexible-and-accurate-inference-and-learning-for-deep-generative-models-1805.11051</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexible-and-accurate-inference-and-learning-for-deep-generative-models-1805.11051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexible-and-accurate-inference-and-learning-for-deep-generative-models-1805.11051"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-of-artistic-styles-with-archetypal-style-analysis-1805.11155</loc><lastmod>2018-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-of-artistic-styles-with-archetypal-style-analysis-1805.11155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-of-artistic-styles-with-archetypal-style-analysis-1805.11155"/></url>
<url><loc>https://scifaro.com/en/abs/semi-implicit-variational-inference-1805.11183</loc><lastmod>2018-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-implicit-variational-inference-1805.11183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-implicit-variational-inference-1805.11183"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-by-partitioning-a-representation-learning-framework-for-multimodal-sensory-data-1805.11264</loc><lastmod>2018-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-by-partitioning-a-representation-learning-framework-for-multimodal-sensory-data-1805.11264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-by-partitioning-a-representation-learning-framework-for-multimodal-sensory-data-1805.11264"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-variational-inference-1805.11284</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-variational-inference-1805.11284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-variational-inference-1805.11284"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-with-anchored-ensembles-of-neural-networks-and-application-to-exploration-in-reinforcement-learning-1805.11324</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-with-anchored-ensembles-of-neural-networks-and-application-to-exploration-in-reinforcement-learning-1805.11324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-with-anchored-ensembles-of-neural-networks-and-application-to-exploration-in-reinforcement-learning-1805.11324"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-embedding-of-maps-for-sequential-bayesian-inference-the-variational-mapping-particle-filter-1805.11380</loc><lastmod>2018-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-embedding-of-maps-for-sequential-bayesian-inference-the-variational-mapping-particle-filter-1805.11380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-embedding-of-maps-for-sequential-bayesian-inference-the-variational-mapping-particle-filter-1805.11380"/></url>
<url><loc>https://scifaro.com/en/abs/uniform-regret-bounds-over-r-d-for-the-sequential-linear-regression-problem-with-the-square-loss-1805.11386</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uniform-regret-bounds-over-r-d-for-the-sequential-linear-regression-problem-with-the-square-loss-1805.11386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uniform-regret-bounds-over-r-d-for-the-sequential-linear-regression-problem-with-the-square-loss-1805.11386"/></url>
<url><loc>https://scifaro.com/en/abs/an-analytic-solution-to-the-inverse-ising-problem-in-the-tree-reweighted-approximation-1805.11452</loc><lastmod>2018-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-analytic-solution-to-the-inverse-ising-problem-in-the-tree-reweighted-approximation-1805.11452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-analytic-solution-to-the-inverse-ising-problem-in-the-tree-reweighted-approximation-1805.11452"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-bayesian-inference-for-a-gaussian-process-density-model-1805.11494</loc><lastmod>2018-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-bayesian-inference-for-a-gaussian-process-density-model-1805.11494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-bayesian-inference-for-a-gaussian-process-density-model-1805.11494"/></url>
<url><loc>https://scifaro.com/en/abs/airpred-a-flexible-r-package-implementing-methods-for-predicting-air-pollution-1805.11534</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/airpred-a-flexible-r-package-implementing-methods-for-predicting-air-pollution-1805.11534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/airpred-a-flexible-r-package-implementing-methods-for-predicting-air-pollution-1805.11534"/></url>
<url><loc>https://scifaro.com/en/abs/forward-amortized-inference-for-likelihood-free-variational-marginalization-1805.11542</loc><lastmod>2018-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forward-amortized-inference-for-likelihood-free-variational-marginalization-1805.11542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forward-amortized-inference-for-likelihood-free-variational-marginalization-1805.11542"/></url>
<url><loc>https://scifaro.com/en/abs/on-gradient-regularizers-for-mmd-gans-1805.11565</loc><lastmod>2021-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-gradient-regularizers-for-mmd-gans-1805.11565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-gradient-regularizers-for-mmd-gans-1805.11565"/></url>
<url><loc>https://scifaro.com/en/abs/human-in-the-loop-interpretability-prior-1805.11571</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-in-the-loop-interpretability-prior-1805.11571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-in-the-loop-interpretability-prior-1805.11571"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-noise-attacks-of-deep-learning-architectures-stability-analysis-via-sparse-modeled-signals-1805.11596</loc><lastmod>2019-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-noise-attacks-of-deep-learning-architectures-stability-analysis-via-sparse-modeled-signals-1805.11596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-noise-attacks-of-deep-learning-architectures-stability-analysis-via-sparse-modeled-signals-1805.11596"/></url>
<url><loc>https://scifaro.com/en/abs/how-does-batch-normalization-help-optimization-1805.11604</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-does-batch-normalization-help-optimization-1805.11604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-does-batch-normalization-help-optimization-1805.11604"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-particle-optimization-framework-for-scalable-bayesian-sampling-1805.11659</loc><lastmod>2018-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-particle-optimization-framework-for-scalable-bayesian-sampling-1805.11659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-particle-optimization-framework-for-scalable-bayesian-sampling-1805.11659"/></url>
<url><loc>https://scifaro.com/en/abs/learn-to-combine-modalities-in-multimodal-deep-learning-1805.11730</loc><lastmod>2018-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learn-to-combine-modalities-in-multimodal-deep-learning-1805.11730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learn-to-combine-modalities-in-multimodal-deep-learning-1805.11730"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-testing-in-the-experiment-rich-regime-1805.11754</loc><lastmod>2018-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-testing-in-the-experiment-rich-regime-1805.11754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-testing-in-the-experiment-rich-regime-1805.11754"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-learning-for-deep-neural-networks-1805.11761</loc><lastmod>2018-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-learning-for-deep-neural-networks-1805.11761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-learning-for-deep-neural-networks-1805.11761"/></url>
<url><loc>https://scifaro.com/en/abs/fast-incremental-von-neumann-graph-entropy-computation-theory-algorithm-and-applications-1805.11769</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-incremental-von-neumann-graph-entropy-computation-theory-algorithm-and-applications-1805.11769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-incremental-von-neumann-graph-entropy-computation-theory-algorithm-and-applications-1805.11769"/></url>
<url><loc>https://scifaro.com/en/abs/to-trust-or-not-to-trust-a-classifier-1805.11783</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/to-trust-or-not-to-trust-a-classifier-1805.11783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/to-trust-or-not-to-trust-a-classifier-1805.11783"/></url>
<url><loc>https://scifaro.com/en/abs/tight-regret-bounds-for-bayesian-optimization-in-one-dimension-1805.11792</loc><lastmod>2025-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-regret-bounds-for-bayesian-optimization-in-one-dimension-1805.11792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-regret-bounds-for-bayesian-optimization-in-one-dimension-1805.11792"/></url>
<url><loc>https://scifaro.com/en/abs/infinite-arms-bandit-optimality-via-confidence-bounds-1805.11793</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infinite-arms-bandit-optimality-via-confidence-bounds-1805.11793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infinite-arms-bandit-optimality-via-confidence-bounds-1805.11793"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-zeroth-order-optimization-via-variance-reduction-method-1805.11811</loc><lastmod>2018-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-zeroth-order-optimization-via-variance-reduction-method-1805.11811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-zeroth-order-optimization-via-variance-reduction-method-1805.11811"/></url>
<url><loc>https://scifaro.com/en/abs/an-information-theoretic-analysis-for-thompson-sampling-with-many-actions-1805.11845</loc><lastmod>2020-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-information-theoretic-analysis-for-thompson-sampling-with-many-actions-1805.11845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-information-theoretic-analysis-for-thompson-sampling-with-many-actions-1805.11845"/></url>
<url><loc>https://scifaro.com/en/abs/differential-properties-of-sinkhorn-approximation-for-learning-with-wasserstein-distance-1805.11897</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differential-properties-of-sinkhorn-approximation-for-learning-with-wasserstein-distance-1805.11897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differential-properties-of-sinkhorn-approximation-for-learning-with-wasserstein-distance-1805.11897"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-spectrum-of-random-features-maps-of-high-dimensional-data-1805.11916</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-spectrum-of-random-features-maps-of-high-dimensional-data-1805.11916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-spectrum-of-random-features-maps-of-high-dimensional-data-1805.11916"/></url>
<url><loc>https://scifaro.com/en/abs/the-dynamics-of-learning-a-random-matrix-approach-1805.11917</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-dynamics-of-learning-a-random-matrix-approach-1805.11917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-dynamics-of-learning-a-random-matrix-approach-1805.11917"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-load-forecasting-with-deep-residual-networks-1805.11956</loc><lastmod>2018-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-load-forecasting-with-deep-residual-networks-1805.11956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-load-forecasting-with-deep-residual-networks-1805.11956"/></url>
<url><loc>https://scifaro.com/en/abs/molgan-an-implicit-generative-model-for-small-molecular-graphs-1805.11973</loc><lastmod>2022-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/molgan-an-implicit-generative-model-for-small-molecular-graphs-1805.11973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/molgan-an-implicit-generative-model-for-small-molecular-graphs-1805.11973"/></url>
<url><loc>https://scifaro.com/en/abs/why-is-my-classifier-discriminatory-1805.12002</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-is-my-classifier-discriminatory-1805.12002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-is-my-classifier-discriminatory-1805.12002"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-county-level-corn-yields-using-deep-long-short-term-memory-models-1805.12044</loc><lastmod>2018-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-county-level-corn-yields-using-deep-long-short-term-memory-models-1805.12044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-county-level-corn-yields-using-deep-long-short-term-memory-models-1805.12044"/></url>
<url><loc>https://scifaro.com/en/abs/on-consensus-optimality-trade-offs-in-collaborative-deep-learning-1805.12120</loc><lastmod>2018-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-consensus-optimality-trade-offs-in-collaborative-deep-learning-1805.12120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-consensus-optimality-trade-offs-in-collaborative-deep-learning-1805.12120"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-may-be-at-odds-with-accuracy-1805.12152</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-may-be-at-odds-with-accuracy-1805.12152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-may-be-at-odds-with-accuracy-1805.12152"/></url>
<url><loc>https://scifaro.com/en/abs/mining-gold-from-implicit-models-to-improve-likelihood-free-inference-1805.12244</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mining-gold-from-implicit-models-to-improve-likelihood-free-inference-1805.12244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mining-gold-from-implicit-models-to-improve-likelihood-free-inference-1805.12244"/></url>
<url><loc>https://scifaro.com/en/abs/root-cause-analysis-for-time-series-anomalies-via-spatiotemporal-graphical-modeling-in-distributed-complex-systems-1805.12296</loc><lastmod>2018-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/root-cause-analysis-for-time-series-anomalies-via-spatiotemporal-graphical-modeling-in-distributed-complex-systems-1805.12296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/root-cause-analysis-for-time-series-anomalies-via-spatiotemporal-graphical-modeling-in-distributed-complex-systems-1805.12296"/></url>
<url><loc>https://scifaro.com/en/abs/rotation-equivariance-and-invariance-in-convolutional-neural-networks-1805.12301</loc><lastmod>2018-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rotation-equivariance-and-invariance-in-convolutional-neural-networks-1805.12301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rotation-equivariance-and-invariance-in-convolutional-neural-networks-1805.12301"/></url>
<url><loc>https://scifaro.com/en/abs/metric-on-nonlinear-dynamical-systems-with-perron-frobenius-operators-1805.12324</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metric-on-nonlinear-dynamical-systems-with-perron-frobenius-operators-1805.12324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metric-on-nonlinear-dynamical-systems-with-perron-frobenius-operators-1805.12324"/></url>
<url><loc>https://scifaro.com/en/abs/on-representation-power-of-neural-network-based-graph-embedding-and-beyond-1805.12332</loc><lastmod>2018-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-representation-power-of-neural-network-based-graph-embedding-and-beyond-1805.12332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-representation-power-of-neural-network-based-graph-embedding-and-beyond-1805.12332"/></url>
<url><loc>https://scifaro.com/en/abs/learning-tree-distributions-by-hidden-markov-models-1805.12372</loc><lastmod>2018-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-tree-distributions-by-hidden-markov-models-1805.12372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-tree-distributions-by-hidden-markov-models-1805.12372"/></url>
<url><loc>https://scifaro.com/en/abs/efficacy-of-regularized-multi-task-learning-based-on-svm-models-1805.12507</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficacy-of-regularized-multi-task-learning-based-on-svm-models-1805.12507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficacy-of-regularized-multi-task-learning-based-on-svm-models-1805.12507"/></url>
<url><loc>https://scifaro.com/en/abs/long-time-predictive-modeling-of-nonlinear-dynamical-systems-using-neural-networks-1805.12547</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/long-time-predictive-modeling-of-nonlinear-dynamical-systems-using-neural-networks-1805.12547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/long-time-predictive-modeling-of-nonlinear-dynamical-systems-using-neural-networks-1805.12547"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-generative-models-via-precision-and-recall-1806.00035</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-generative-models-via-precision-and-recall-1806.00035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-generative-models-via-precision-and-recall-1806.00035"/></url>
<url><loc>https://scifaro.com/en/abs/generative-ratio-matching-networks-1806.00101</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-ratio-matching-networks-1806.00101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-ratio-matching-networks-1806.00101"/></url>
<url><loc>https://scifaro.com/en/abs/sea-surface-temperature-prediction-and-reconstruction-using-patch-level-neural-network-representations-1806.00144</loc><lastmod>2018-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sea-surface-temperature-prediction-and-reconstruction-using-patch-level-neural-network-representations-1806.00144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sea-surface-temperature-prediction-and-reconstruction-using-patch-level-neural-network-representations-1806.00144"/></url>
<url><loc>https://scifaro.com/en/abs/tandem-blocks-in-deep-convolutional-neural-networks-1806.00145</loc><lastmod>2018-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tandem-blocks-in-deep-convolutional-neural-networks-1806.00145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tandem-blocks-in-deep-convolutional-neural-networks-1806.00145"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-deep-learning-the-machine-learning-rorschach-test-1806.00148</loc><lastmod>2018-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-deep-learning-the-machine-learning-rorschach-test-1806.00148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-deep-learning-the-machine-learning-rorschach-test-1806.00148"/></url>
<url><loc>https://scifaro.com/en/abs/neural-control-variates-for-variance-reduction-1806.00159</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-control-variates-for-variance-reduction-1806.00159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-control-variates-for-variance-reduction-1806.00159"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-latent-space-of-multitrack-measures-1806.00195</loc><lastmod>2018-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-latent-space-of-multitrack-measures-1806.00195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-latent-space-of-multitrack-measures-1806.00195"/></url>
<url><loc>https://scifaro.com/en/abs/generative-modeling-by-inclusive-neural-random-fields-with-applications-in-image-generation-and-anomaly-detection-1806.00271</loc><lastmod>2020-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-modeling-by-inclusive-neural-random-fields-with-applications-in-image-generation-and-anomaly-detection-1806.00271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-modeling-by-inclusive-neural-random-fields-with-applications-in-image-generation-and-anomaly-detection-1806.00271"/></url>
<url><loc>https://scifaro.com/en/abs/learning-convex-bounds-for-linear-quadratic-control-policy-synthesis-1806.00319</loc><lastmod>2018-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-convex-bounds-for-linear-quadratic-control-policy-synthesis-1806.00319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-convex-bounds-for-linear-quadratic-control-policy-synthesis-1806.00319"/></url>
<url><loc>https://scifaro.com/en/abs/persistence-paths-and-signature-features-in-topological-data-analysis-1806.00381</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/persistence-paths-and-signature-features-in-topological-data-analysis-1806.00381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/persistence-paths-and-signature-features-in-topological-data-analysis-1806.00381"/></url>
<url><loc>https://scifaro.com/en/abs/inverting-supervised-representations-with-autoregressive-neural-density-models-1806.00400</loc><lastmod>2019-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverting-supervised-representations-with-autoregressive-neural-density-models-1806.00400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverting-supervised-representations-with-autoregressive-neural-density-models-1806.00400"/></url>
<url><loc>https://scifaro.com/en/abs/whitening-and-coloring-batch-transform-for-gans-1806.00420</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/whitening-and-coloring-batch-transform-for-gans-1806.00420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/whitening-and-coloring-batch-transform-for-gans-1806.00420"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-certifiably-optimal-clustering-with-applications-to-latent-variable-graphical-models-1806.00530</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-certifiably-optimal-clustering-with-applications-to-latent-variable-graphical-models-1806.00530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-certifiably-optimal-clustering-with-applications-to-latent-variable-graphical-models-1806.00530"/></url>
<url><loc>https://scifaro.com/en/abs/intrinsic-isometric-manifold-learning-with-application-to-localization-1806.00556</loc><lastmod>2018-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrinsic-isometric-manifold-learning-with-application-to-localization-1806.00556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrinsic-isometric-manifold-learning-with-application-to-localization-1806.00556"/></url>
<url><loc>https://scifaro.com/en/abs/variable-selection-for-nonparametric-learning-with-power-series-kernels-1806.00569</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-selection-for-nonparametric-learning-with-power-series-kernels-1806.00569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-selection-for-nonparametric-learning-with-power-series-kernels-1806.00569"/></url>
<url><loc>https://scifaro.com/en/abs/autoencoders-learn-generative-linear-models-1806.00572</loc><lastmod>2019-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoencoders-learn-generative-linear-models-1806.00572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoencoders-learn-generative-linear-models-1806.00572"/></url>
<url><loc>https://scifaro.com/en/abs/binary-classification-with-karmic-threshold-quasi-concave-metrics-1806.00640</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-classification-with-karmic-threshold-quasi-concave-metrics-1806.00640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-classification-with-karmic-threshold-quasi-concave-metrics-1806.00640"/></url>
<url><loc>https://scifaro.com/en/abs/signal-and-noise-statistics-oblivious-orthogonal-matching-pursuit-1806.00650</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/signal-and-noise-statistics-oblivious-orthogonal-matching-pursuit-1806.00650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/signal-and-noise-statistics-oblivious-orthogonal-matching-pursuit-1806.00650"/></url>
<url><loc>https://scifaro.com/en/abs/locally-interpretable-models-and-effects-based-on-supervised-partitioning-lime-sup-1806.00663</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-interpretable-models-and-effects-based-on-supervised-partitioning-lime-sup-1806.00663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-interpretable-models-and-effects-based-on-supervised-partitioning-lime-sup-1806.00663"/></url>
<url><loc>https://scifaro.com/en/abs/sufficient-conditions-for-idealised-models-to-have-no-adversarial-examples-a-theoretical-and-empirical-study-with-bayesian-neural-networks-1806.00667</loc><lastmod>2018-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sufficient-conditions-for-idealised-models-to-have-no-adversarial-examples-a-theoretical-and-empirical-study-with-bayesian-neural-networks-1806.00667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sufficient-conditions-for-idealised-models-to-have-no-adversarial-examples-a-theoretical-and-empirical-study-with-bayesian-neural-networks-1806.00667"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-clustering-under-uncertainty-1806.00672</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-clustering-under-uncertainty-1806.00672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-clustering-under-uncertainty-1806.00672"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-robust-bayesian-committee-machine-for-large-scale-gaussian-process-regression-1806.00720</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-robust-bayesian-committee-machine-for-large-scale-gaussian-process-regression-1806.00720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-robust-bayesian-committee-machine-for-large-scale-gaussian-process-regression-1806.00720"/></url>
<url><loc>https://scifaro.com/en/abs/data-free-data-sparse-softmax-parameter-estimation-with-structured-class-geometries-1806.00728</loc><lastmod>2018-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-free-data-sparse-softmax-parameter-estimation-with-structured-class-geometries-1806.00728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-free-data-sparse-softmax-parameter-estimation-with-structured-class-geometries-1806.00728"/></url>
<url><loc>https://scifaro.com/en/abs/minnorm-training-an-algorithm-for-training-over-parameterized-deep-neural-networks-1806.00730</loc><lastmod>2018-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minnorm-training-an-algorithm-for-training-over-parameterized-deep-neural-networks-1806.00730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minnorm-training-an-algorithm-for-training-over-parameterized-deep-neural-networks-1806.00730"/></url>
<url><loc>https://scifaro.com/en/abs/causal-inference-with-noisy-and-missing-covariates-via-matrix-factorization-1806.00811</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-inference-with-noisy-and-missing-covariates-via-matrix-factorization-1806.00811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-inference-with-noisy-and-missing-covariates-via-matrix-factorization-1806.00811"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-regularized-nystr-om-subsampling-for-regression-functions-of-low-smoothness-1806.00826</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-regularized-nystr-om-subsampling-for-regression-functions-of-low-smoothness-1806.00826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-regularized-nystr-om-subsampling-for-regression-functions-of-low-smoothness-1806.00826"/></url>
<url><loc>https://scifaro.com/en/abs/conservative-exploration-using-interleaving-1806.00892</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conservative-exploration-using-interleaving-1806.00892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conservative-exploration-using-interleaving-1806.00892"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-confidence-and-smoothness-regularizations-for-scalable-unsupervised-discriminative-learning-1806.00919</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-confidence-and-smoothness-regularizations-for-scalable-unsupervised-discriminative-learning-1806.00919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-confidence-and-smoothness-regularizations-for-scalable-unsupervised-discriminative-learning-1806.00919"/></url>
<url><loc>https://scifaro.com/en/abs/holographic-neural-architectures-1806.00931</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/holographic-neural-architectures-1806.00931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/holographic-neural-architectures-1806.00931"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-test-for-the-lowest-mean-from-thompson-to-murphy-sampling-1806.00973</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-test-for-the-lowest-mean-from-thompson-to-murphy-sampling-1806.00973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-test-for-the-lowest-mean-from-thompson-to-murphy-sampling-1806.00973"/></url>
<url><loc>https://scifaro.com/en/abs/normative-modeling-of-neuroimaging-data-using-scalable-multi-task-gaussian-processes-1806.01047</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normative-modeling-of-neuroimaging-data-using-scalable-multi-task-gaussian-processes-1806.01047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normative-modeling-of-neuroimaging-data-using-scalable-multi-task-gaussian-processes-1806.01047"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-based-equations-for-predicting-pga-and-pgv-in-texas-oklahoma-and-kansas-1806.01052</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-based-equations-for-predicting-pga-and-pgv-in-texas-oklahoma-and-kansas-1806.01052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-based-equations-for-predicting-pga-and-pgv-in-texas-oklahoma-and-kansas-1806.01052"/></url>
<url><loc>https://scifaro.com/en/abs/robustifying-independent-component-analysis-by-adjusting-for-group-wise-stationary-noise-1806.01094</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustifying-independent-component-analysis-by-adjusting-for-group-wise-stationary-noise-1806.01094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustifying-independent-component-analysis-by-adjusting-for-group-wise-stationary-noise-1806.01094"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-and-scalable-batch-bayesian-optimization-using-k-means-1806.01159</loc><lastmod>2018-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-and-scalable-batch-bayesian-optimization-using-k-means-1806.01159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-and-scalable-batch-bayesian-optimization-using-k-means-1806.01159"/></url>
<url><loc>https://scifaro.com/en/abs/diffeomorphic-learning-1806.01240</loc><lastmod>2023-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffeomorphic-learning-1806.01240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffeomorphic-learning-1806.01240"/></url>
<url><loc>https://scifaro.com/en/abs/universal-statistics-of-fisher-information-in-deep-neural-networks-mean-field-approach-1806.01316</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-statistics-of-fisher-information-in-deep-neural-networks-mean-field-approach-1806.01316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-statistics-of-fisher-information-in-deep-neural-networks-mean-field-approach-1806.01316"/></url>
<url><loc>https://scifaro.com/en/abs/backdrop-stochastic-backpropagation-1806.01337</loc><lastmod>2018-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/backdrop-stochastic-backpropagation-1806.01337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/backdrop-stochastic-backpropagation-1806.01337"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-framework-for-bandit-problems-beyond-cumulative-objectives-1806.01380</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-framework-for-bandit-problems-beyond-cumulative-objectives-1806.01380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-framework-for-bandit-problems-beyond-cumulative-objectives-1806.01380"/></url>
<url><loc>https://scifaro.com/en/abs/eigennetworks-1806.01455</loc><lastmod>2019-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eigennetworks-1806.01455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eigennetworks-1806.01455"/></url>
<url><loc>https://scifaro.com/en/abs/informative-gene-selection-for-microarray-classification-via-adaptive-elastic-net-with-conditional-mutual-information-1806.01466</loc><lastmod>2018-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/informative-gene-selection-for-microarray-classification-via-adaptive-elastic-net-with-conditional-mutual-information-1806.01466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/informative-gene-selection-for-microarray-classification-via-adaptive-elastic-net-with-conditional-mutual-information-1806.01466"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-regularized-spectral-clustering-via-graph-conductance-1806.01468</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-regularized-spectral-clustering-via-graph-conductance-1806.01468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-regularized-spectral-clustering-via-graph-conductance-1806.01468"/></url>
<url><loc>https://scifaro.com/en/abs/pac-learning-in-the-presence-of-evasion-adversaries-1806.01471</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-learning-in-the-presence-of-evasion-adversaries-1806.01471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-learning-in-the-presence-of-evasion-adversaries-1806.01471"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-crime-with-deep-learning-1806.01486</loc><lastmod>2018-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-crime-with-deep-learning-1806.01486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-crime-with-deep-learning-1806.01486"/></url>
<url><loc>https://scifaro.com/en/abs/deep-mixed-effect-model-using-gaussian-processes-a-personalized-and-reliable-prediction-for-healthcare-1806.01551</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-mixed-effect-model-using-gaussian-processes-a-personalized-and-reliable-prediction-for-healthcare-1806.01551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-mixed-effect-model-using-gaussian-processes-a-personalized-and-reliable-prediction-for-healthcare-1806.01551"/></url>
<url><loc>https://scifaro.com/en/abs/bock-bayesian-optimization-with-cylindrical-kernels-1806.01619</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bock-bayesian-optimization-with-cylindrical-kernels-1806.01619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bock-bayesian-optimization-with-cylindrical-kernels-1806.01619"/></url>
<url><loc>https://scifaro.com/en/abs/deep-gaussian-processes-with-convolutional-kernels-1806.01655</loc><lastmod>2018-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-gaussian-processes-with-convolutional-kernels-1806.01655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-gaussian-processes-with-convolutional-kernels-1806.01655"/></url>
<url><loc>https://scifaro.com/en/abs/disease-prediction-using-graph-convolutional-networks-application-to-autism-spectrum-disorder-and-alzheimer-s-disease-1806.01738</loc><lastmod>2018-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disease-prediction-using-graph-convolutional-networks-application-to-autism-spectrum-disorder-and-alzheimer-s-disease-1806.01738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disease-prediction-using-graph-convolutional-networks-application-to-autism-spectrum-disorder-and-alzheimer-s-disease-1806.01738"/></url>
<url><loc>https://scifaro.com/en/abs/neural-kernelized-conditional-density-estimation-1806.01754</loc><lastmod>2018-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-kernelized-conditional-density-estimation-1806.01754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-kernelized-conditional-density-estimation-1806.01754"/></url>
<url><loc>https://scifaro.com/en/abs/cycle-consistent-adversarial-learning-as-approximate-bayesian-inference-1806.01771</loc><lastmod>2018-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cycle-consistent-adversarial-learning-as-approximate-bayesian-inference-1806.01771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cycle-consistent-adversarial-learning-as-approximate-bayesian-inference-1806.01771"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-descent-on-separable-data-exact-convergence-with-a-fixed-learning-rate-1806.01796</loc><lastmod>2022-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-descent-on-separable-data-exact-convergence-with-a-fixed-learning-rate-1806.01796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-descent-on-separable-data-exact-convergence-with-a-fixed-learning-rate-1806.01796"/></url>
<url><loc>https://scifaro.com/en/abs/adagrad-stepsizes-sharp-convergence-over-nonconvex-landscapes-1806.01811</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adagrad-stepsizes-sharp-convergence-over-nonconvex-landscapes-1806.01811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adagrad-stepsizes-sharp-convergence-over-nonconvex-landscapes-1806.01811"/></url>
<url><loc>https://scifaro.com/en/abs/performance-metric-elicitation-from-pairwise-classifier-comparisons-1806.01827</loc><lastmod>2019-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-metric-elicitation-from-pairwise-classifier-comparisons-1806.01827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-metric-elicitation-from-pairwise-classifier-comparisons-1806.01827"/></url>
<url><loc>https://scifaro.com/en/abs/pathwise-derivatives-beyond-the-reparameterization-trick-1806.01851</loc><lastmod>2018-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pathwise-derivatives-beyond-the-reparameterization-trick-1806.01851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pathwise-derivatives-beyond-the-reparameterization-trick-1806.01851"/></url>
<url><loc>https://scifaro.com/en/abs/pathwise-derivatives-for-multivariate-distributions-1806.01856</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pathwise-derivatives-for-multivariate-distributions-1806.01856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pathwise-derivatives-for-multivariate-distributions-1806.01856"/></url>
<url><loc>https://scifaro.com/en/abs/mrpc-an-r-package-for-accurate-inference-of-causal-graphs-1806.01899</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mrpc-an-r-package-for-accurate-inference-of-causal-graphs-1806.01899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mrpc-an-r-package-for-accurate-inference-of-causal-graphs-1806.01899"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-the-construction-of-upper-bounds-on-the-number-of-affine-linear-regions-of-relu-feed-forward-neural-networks-1806.01918</loc><lastmod>2020-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-the-construction-of-upper-bounds-on-the-number-of-affine-linear-regions-of-relu-feed-forward-neural-networks-1806.01918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-the-construction-of-upper-bounds-on-the-number-of-affine-linear-regions-of-relu-feed-forward-neural-networks-1806.01918"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-neural-networks-based-on-additive-index-models-1806.01933</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-neural-networks-based-on-additive-index-models-1806.01933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-neural-networks-based-on-additive-index-models-1806.01933"/></url>
<url><loc>https://scifaro.com/en/abs/a-linear-time-method-for-the-detection-of-point-and-collective-anomalies-1806.01947</loc><lastmod>2019-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-linear-time-method-for-the-detection-of-point-and-collective-anomalies-1806.01947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-linear-time-method-for-the-detection-of-point-and-collective-anomalies-1806.01947"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-trees-classification-with-sparse-pairwise-dependencies-1806.01993</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-trees-classification-with-sparse-pairwise-dependencies-1806.01993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-trees-classification-with-sparse-pairwise-dependencies-1806.01993"/></url>
<url><loc>https://scifaro.com/en/abs/degrees-of-freedom-and-model-selection-for-k-means-clustering-1806.02034</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/degrees-of-freedom-and-model-selection-for-k-means-clustering-1806.02034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/degrees-of-freedom-and-model-selection-for-k-means-clustering-1806.02034"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-regularization-and-solution-uniqueness-in-over-parameterized-matrix-sensing-1806.02046</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-regularization-and-solution-uniqueness-in-over-parameterized-matrix-sensing-1806.02046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-regularization-and-solution-uniqueness-in-over-parameterized-matrix-sensing-1806.02046"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-sequence-to-sequence-non-intrusive-load-monitoring-1806.02078</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-sequence-to-sequence-non-intrusive-load-monitoring-1806.02078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-sequence-to-sequence-non-intrusive-load-monitoring-1806.02078"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-auto-encoders-for-speech-based-emotion-recognition-1806.02146</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-auto-encoders-for-speech-based-emotion-recognition-1806.02146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-auto-encoders-for-speech-based-emotion-recognition-1806.02146"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-black-box-variational-inference-1806.02185</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-black-box-variational-inference-1806.02185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-black-box-variational-inference-1806.02185"/></url>
<url><loc>https://scifaro.com/en/abs/grakel-a-graph-kernel-library-in-python-1806.02193</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grakel-a-graph-kernel-library-in-python-1806.02193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grakel-a-graph-kernel-library-in-python-1806.02193"/></url>
<url><loc>https://scifaro.com/en/abs/toprank-a-practical-algorithm-for-online-stochastic-ranking-1806.02248</loc><lastmod>2019-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toprank-a-practical-algorithm-for-online-stochastic-ranking-1806.02248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toprank-a-practical-algorithm-for-online-stochastic-ranking-1806.02248"/></url>
<url><loc>https://scifaro.com/en/abs/causal-bandits-with-propagating-inference-1806.02252</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-bandits-with-propagating-inference-1806.02252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-bandits-with-propagating-inference-1806.02252"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-robust-bayesian-inference-for-non-stationary-streaming-data-with-beta-divergences-1806.02261</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-robust-bayesian-inference-for-non-stationary-streaming-data-with-beta-divergences-1806.02261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-robust-bayesian-inference-for-non-stationary-streaming-data-with-beta-divergences-1806.02261"/></url>
<url><loc>https://scifaro.com/en/abs/finding-the-bandit-in-a-graph-sequential-search-and-stop-1806.02282</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-the-bandit-in-a-graph-sequential-search-and-stop-1806.02282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-the-bandit-in-a-graph-sequential-search-and-stop-1806.02282"/></url>
<url><loc>https://scifaro.com/en/abs/causal-interventions-for-fairness-1806.02380</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-interventions-for-fairness-1806.02380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-interventions-for-fairness-1806.02380"/></url>
<url><loc>https://scifaro.com/en/abs/variational-autoencoder-with-arbitrary-conditioning-1806.02382</loc><lastmod>2019-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-autoencoder-with-arbitrary-conditioning-1806.02382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-autoencoder-with-arbitrary-conditioning-1806.02382"/></url>
<url><loc>https://scifaro.com/en/abs/not-all-attributes-are-created-equal-d-mathcal-x-private-mechanisms-for-linear-queries-1806.02389</loc><lastmod>2019-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/not-all-attributes-are-created-equal-d-mathcal-x-private-mechanisms-for-linear-queries-1806.02389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/not-all-attributes-are-created-equal-d-mathcal-x-private-mechanisms-for-linear-queries-1806.02389"/></url>
<url><loc>https://scifaro.com/en/abs/variational-implicit-processes-1806.02390</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-implicit-processes-1806.02390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-implicit-processes-1806.02390"/></url>
<url><loc>https://scifaro.com/en/abs/localized-structured-prediction-1806.02402</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/localized-structured-prediction-1806.02402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/localized-structured-prediction-1806.02402"/></url>
<url><loc>https://scifaro.com/en/abs/exact-low-tubal-rank-tensor-recovery-from-gaussian-measurements-1806.02511</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-low-tubal-rank-tensor-recovery-from-gaussian-measurements-1806.02511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-low-tubal-rank-tensor-recovery-from-gaussian-measurements-1806.02511"/></url>
<url><loc>https://scifaro.com/en/abs/importance-weighted-generative-networks-1806.02512</loc><lastmod>2020-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-weighted-generative-networks-1806.02512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-weighted-generative-networks-1806.02512"/></url>
<url><loc>https://scifaro.com/en/abs/grouped-gaussian-processes-for-solar-power-prediction-1806.02543</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grouped-gaussian-processes-for-solar-power-prediction-1806.02543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grouped-gaussian-processes-for-solar-power-prediction-1806.02543"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-stochastic-quasi-newton-mcmc-for-non-convex-optimization-1806.02617</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-stochastic-quasi-newton-mcmc-for-non-convex-optimization-1806.02617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-stochastic-quasi-newton-mcmc-for-non-convex-optimization-1806.02617"/></url>
<url><loc>https://scifaro.com/en/abs/new-hybrid-neuro-evolutionary-algorithms-for-renewable-energy-and-facilities-management-problems-1806.02654</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-hybrid-neuro-evolutionary-algorithms-for-renewable-energy-and-facilities-management-problems-1806.02654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-hybrid-neuro-evolutionary-algorithms-for-renewable-energy-and-facilities-management-problems-1806.02654"/></url>
<url><loc>https://scifaro.com/en/abs/stein-variational-gradient-descent-without-gradient-1806.02775</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stein-variational-gradient-descent-without-gradient-1806.02775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stein-variational-gradient-descent-without-gradient-1806.02775"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-machines-with-missing-responses-1806.02865</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-machines-with-missing-responses-1806.02865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-machines-with-missing-responses-1806.02865"/></url>
<url><loc>https://scifaro.com/en/abs/residual-unfairness-in-fair-machine-learning-from-prejudiced-data-1806.02887</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/residual-unfairness-in-fair-machine-learning-from-prejudiced-data-1806.02887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/residual-unfairness-in-fair-machine-learning-from-prejudiced-data-1806.02887"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-in-functional-data-classification-with-recursive-maxima-hunting-1806.02922</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-in-functional-data-classification-with-recursive-maxima-hunting-1806.02922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-in-functional-data-classification-with-recursive-maxima-hunting-1806.02922"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-adversarial-risk-1806.02924</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-adversarial-risk-1806.02924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-adversarial-risk-1806.02924"/></url>
<url><loc>https://scifaro.com/en/abs/a-spectral-approach-to-gradient-estimation-for-implicit-distributions-1806.02925</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-spectral-approach-to-gradient-estimation-for-implicit-distributions-1806.02925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-spectral-approach-to-gradient-estimation-for-implicit-distributions-1806.02925"/></url>
<url><loc>https://scifaro.com/en/abs/learn-from-your-neighbor-learning-multi-modal-mappings-from-sparse-annotations-1806.02934</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learn-from-your-neighbor-learning-multi-modal-mappings-from-sparse-annotations-1806.02934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learn-from-your-neighbor-learning-multi-modal-mappings-from-sparse-annotations-1806.02934"/></url>
<url><loc>https://scifaro.com/en/abs/causal-effects-based-on-distributional-distances-1806.02935</loc><lastmod>2024-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-effects-based-on-distributional-distances-1806.02935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-effects-based-on-distributional-distances-1806.02935"/></url>
<url><loc>https://scifaro.com/en/abs/q-space-novelty-detection-with-variational-autoencoders-1806.02997</loc><lastmod>2018-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/q-space-novelty-detection-with-variational-autoencoders-1806.02997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/q-space-novelty-detection-with-variational-autoencoders-1806.02997"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-the-impact-of-cnn-depth-on-neonatal-seizure-detection-performance-1806.03044</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-the-impact-of-cnn-depth-on-neonatal-seizure-detection-performance-1806.03044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-the-impact-of-cnn-depth-on-neonatal-seizure-detection-performance-1806.03044"/></url>
<url><loc>https://scifaro.com/en/abs/a-stein-variational-newton-method-1806.03085</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-stein-variational-newton-method-1806.03085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-stein-variational-newton-method-1806.03085"/></url>
<url><loc>https://scifaro.com/en/abs/text-classification-based-on-word-subspace-with-term-frequency-1806.03125</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/text-classification-based-on-word-subspace-with-term-frequency-1806.03125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/text-classification-based-on-word-subspace-with-term-frequency-1806.03125"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-fdr-1806.03143</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-fdr-1806.03143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-fdr-1806.03143"/></url>
<url><loc>https://scifaro.com/en/abs/neural-message-passing-with-edge-updates-for-predicting-properties-of-molecules-and-materials-1806.03146</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-message-passing-with-edge-updates-for-predicting-properties-of-molecules-and-materials-1806.03146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-message-passing-with-edge-updates-for-predicting-properties-of-molecules-and-materials-1806.03146"/></url>
<url><loc>https://scifaro.com/en/abs/spreading-vectors-for-similarity-search-1806.03198</loc><lastmod>2019-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spreading-vectors-for-similarity-search-1806.03198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spreading-vectors-for-similarity-search-1806.03198"/></url>
<url><loc>https://scifaro.com/en/abs/learning-in-integer-latent-variable-models-with-nested-automatic-differentiation-1806.03207</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-in-integer-latent-variable-models-with-nested-automatic-differentiation-1806.03207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-in-integer-latent-variable-models-with-nested-automatic-differentiation-1806.03207"/></url>
<url><loc>https://scifaro.com/en/abs/blind-justice-fairness-with-encrypted-sensitive-attributes-1806.03281</loc><lastmod>2018-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blind-justice-fairness-with-encrypted-sensitive-attributes-1806.03281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blind-justice-fairness-with-encrypted-sensitive-attributes-1806.03281"/></url>
<url><loc>https://scifaro.com/en/abs/regression-with-comparisons-escaping-the-curse-of-dimensionality-with-ordinal-information-1806.03286</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regression-with-comparisons-escaping-the-curse-of-dimensionality-with-ordinal-information-1806.03286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regression-with-comparisons-escaping-the-curse-of-dimensionality-with-ordinal-information-1806.03286"/></url>
<url><loc>https://scifaro.com/en/abs/slalom-fast-verifiable-and-private-execution-of-neural-networks-in-trusted-hardware-1806.03287</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/slalom-fast-verifiable-and-private-execution-of-neural-networks-in-trusted-hardware-1806.03287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/slalom-fast-verifiable-and-private-execution-of-neural-networks-in-trusted-hardware-1806.03287"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-prior-functions-for-deep-reinforcement-learning-1806.03335</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-prior-functions-for-deep-reinforcement-learning-1806.03335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-prior-functions-for-deep-reinforcement-learning-1806.03335"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-clustering-with-prior-knowledge-1806.03432</loc><lastmod>2018-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-clustering-with-prior-knowledge-1806.03432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-clustering-with-prior-knowledge-1806.03432"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-earley-parser-bridging-symbolic-grammars-and-sequence-data-for-future-prediction-1806.03497</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-earley-parser-bridging-symbolic-grammars-and-sequence-data-for-future-prediction-1806.03497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-earley-parser-bridging-symbolic-grammars-and-sequence-data-for-future-prediction-1806.03497"/></url>
<url><loc>https://scifaro.com/en/abs/an-estimation-and-analysis-framework-for-the-rasch-model-1806.03551</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-estimation-and-analysis-framework-for-the-rasch-model-1806.03551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-estimation-and-analysis-framework-for-the-rasch-model-1806.03551"/></url>
<url><loc>https://scifaro.com/en/abs/building-bayesian-neural-networks-with-blocks-on-structure-interpretability-and-uncertainty-1806.03563</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-bayesian-neural-networks-with-blocks-on-structure-interpretability-and-uncertainty-1806.03563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-bayesian-neural-networks-with-blocks-on-structure-interpretability-and-uncertainty-1806.03563"/></url>
<url><loc>https://scifaro.com/en/abs/stationary-geometric-graphical-model-selection-1806.03571</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stationary-geometric-graphical-model-selection-1806.03571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stationary-geometric-graphical-model-selection-1806.03571"/></url>
<url><loc>https://scifaro.com/en/abs/ivus-net-an-intravascular-ultrasound-segmentation-network-1806.03583</loc><lastmod>2018-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ivus-net-an-intravascular-ultrasound-segmentation-network-1806.03583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ivus-net-an-intravascular-ultrasound-segmentation-network-1806.03583"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-noise-contrastive-estimation-of-unnormalised-models-1806.03664</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-noise-contrastive-estimation-of-unnormalised-models-1806.03664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-noise-contrastive-estimation-of-unnormalised-models-1806.03664"/></url>
<url><loc>https://scifaro.com/en/abs/smallify-learning-network-size-while-training-1806.03723</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smallify-learning-network-size-while-training-1806.03723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smallify-learning-network-size-while-training-1806.03723"/></url>
<url><loc>https://scifaro.com/en/abs/smoothed-analysis-of-the-low-rank-approach-for-smooth-semidefinite-programs-1806.03763</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smoothed-analysis-of-the-low-rank-approach-for-smooth-semidefinite-programs-1806.03763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smoothed-analysis-of-the-low-rank-approach-for-smooth-semidefinite-programs-1806.03763"/></url>
<url><loc>https://scifaro.com/en/abs/the-effect-of-network-width-on-the-performance-of-large-batch-training-1806.03791</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-effect-of-network-width-on-the-performance-of-large-batch-training-1806.03791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-effect-of-network-width-on-the-performance-of-large-batch-training-1806.03791"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-classification-tasks-on-geospatial-vector-polygons-1806.03857</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-classification-tasks-on-geospatial-vector-polygons-1806.03857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-classification-tasks-on-geospatial-vector-polygons-1806.03857"/></url>
<url><loc>https://scifaro.com/en/abs/aggregating-predictions-on-multiple-non-disclosed-datasets-using-conformal-prediction-1806.04000</loc><lastmod>2018-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aggregating-predictions-on-multiple-non-disclosed-datasets-using-conformal-prediction-1806.04000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aggregating-predictions-on-multiple-non-disclosed-datasets-using-conformal-prediction-1806.04000"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-data-enrichment-interpretable-fast-and-data-efficient-1806.04047</loc><lastmod>2023-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-data-enrichment-interpretable-fast-and-data-efficient-1806.04047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-data-enrichment-interpretable-fast-and-data-efficient-1806.04047"/></url>
<url><loc>https://scifaro.com/en/abs/atomo-communication-efficient-learning-via-atomic-sparsification-1806.04090</loc><lastmod>2018-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/atomo-communication-efficient-learning-via-atomic-sparsification-1806.04090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/atomo-communication-efficient-learning-via-atomic-sparsification-1806.04090"/></url>
<url><loc>https://scifaro.com/en/abs/diverse-online-feature-selection-1806.04308</loc><lastmod>2019-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diverse-online-feature-selection-1806.04308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diverse-online-feature-selection-1806.04308"/></url>
<url><loc>https://scifaro.com/en/abs/focused-hierarchical-rnns-for-conditional-sequence-processing-1806.04342</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/focused-hierarchical-rnns-for-conditional-sequence-processing-1806.04342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/focused-hierarchical-rnns-for-conditional-sequence-processing-1806.04342"/></url>
<url><loc>https://scifaro.com/en/abs/attentive-cross-modal-paratope-prediction-1806.04398</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attentive-cross-modal-paratope-prediction-1806.04398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attentive-cross-modal-paratope-prediction-1806.04398"/></url>
<url><loc>https://scifaro.com/en/abs/quaternion-recurrent-neural-networks-1806.04418</loc><lastmod>2019-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quaternion-recurrent-neural-networks-1806.04418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quaternion-recurrent-neural-networks-1806.04418"/></url>
<url><loc>https://scifaro.com/en/abs/toxicblend-virtual-screening-of-toxic-compounds-with-ensemble-predictors-1806.04449</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toxicblend-virtual-screening-of-toxic-compounds-with-ensemble-predictors-1806.04449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toxicblend-virtual-screening-of-toxic-compounds-with-ensemble-predictors-1806.04449"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-stochastic-zeroth-order-optimization-with-an-application-to-bandit-structured-prediction-1806.04458</loc><lastmod>2020-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-stochastic-zeroth-order-optimization-with-an-application-to-bandit-structured-prediction-1806.04458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-stochastic-zeroth-order-optimization-with-an-application-to-bandit-structured-prediction-1806.04458"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-mixture-models-with-wasserstein-distance-1806.04465</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-mixture-models-with-wasserstein-distance-1806.04465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-mixture-models-with-wasserstein-distance-1806.04465"/></url>
<url><loc>https://scifaro.com/en/abs/improving-latent-variable-descriptiveness-with-autogen-1806.04480</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-latent-variable-descriptiveness-with-autogen-1806.04480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-latent-variable-descriptiveness-with-autogen-1806.04480"/></url>
<url><loc>https://scifaro.com/en/abs/the-unusual-effectiveness-of-averaging-in-gan-training-1806.04498</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-unusual-effectiveness-of-averaging-in-gan-training-1806.04498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-unusual-effectiveness-of-averaging-in-gan-training-1806.04498"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-on-distance-based-time-series-classification-1806.04509</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-on-distance-based-time-series-classification-1806.04509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-on-distance-based-time-series-classification-1806.04509"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-for-stochastic-gradient-mcmc-1806.04522</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-for-stochastic-gradient-mcmc-1806.04522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-for-stochastic-gradient-mcmc-1806.04522"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-inference-with-wasserstein-gradient-flows-1806.04542</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-inference-with-wasserstein-gradient-flows-1806.04542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-inference-with-wasserstein-gradient-flows-1806.04542"/></url>
<url><loc>https://scifaro.com/en/abs/early-seizure-detection-with-an-energy-efficient-convolutional-neural-network-on-an-implantable-microcontroller-1806.04549</loc><lastmod>2020-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-seizure-detection-with-an-energy-efficient-convolutional-neural-network-on-an-implantable-microcontroller-1806.04549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-seizure-detection-with-an-energy-efficient-convolutional-neural-network-on-an-implantable-microcontroller-1806.04549"/></url>
<url><loc>https://scifaro.com/en/abs/logistic-ensemble-models-1806.04555</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logistic-ensemble-models-1806.04555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logistic-ensemble-models-1806.04555"/></url>
<url><loc>https://scifaro.com/en/abs/using-inherent-structures-to-design-lean-2-layer-rbms-1806.04577</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-inherent-structures-to-design-lean-2-layer-rbms-1806.04577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-inherent-structures-to-design-lean-2-layer-rbms-1806.04577"/></url>
<url><loc>https://scifaro.com/en/abs/exponential-weights-on-the-hypercube-in-polynomial-time-1806.04594</loc><lastmod>2019-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-weights-on-the-hypercube-in-polynomial-time-1806.04594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-weights-on-the-hypercube-in-polynomial-time-1806.04594"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-pca-and-subspace-tracking-the-missing-data-case-1806.04609</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-pca-and-subspace-tracking-the-missing-data-case-1806.04609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-pca-and-subspace-tracking-the-missing-data-case-1806.04609"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-bayesian-approach-for-latent-variable-modeling-from-mixed-data-with-missing-values-1806.04610</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-bayesian-approach-for-latent-variable-modeling-from-mixed-data-with-missing-values-1806.04610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-bayesian-approach-for-latent-variable-modeling-from-mixed-data-with-missing-values-1806.04610"/></url>
<url><loc>https://scifaro.com/en/abs/improving-regression-performance-with-distributional-losses-1806.04613</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-regression-performance-with-distributional-losses-1806.04613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-regression-performance-with-distributional-losses-1806.04613"/></url>
<url><loc>https://scifaro.com/en/abs/inferno-inference-aware-neural-optimisation-1806.04743</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferno-inference-aware-neural-optimisation-1806.04743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferno-inference-aware-neural-optimisation-1806.04743"/></url>
<url><loc>https://scifaro.com/en/abs/integral-privacy-for-sampling-1806.04819</loc><lastmod>2019-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integral-privacy-for-sampling-1806.04819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integral-privacy-for-sampling-1806.04819"/></url>
<url><loc>https://scifaro.com/en/abs/partial-auc-maximization-via-nonlinear-scoring-functions-1806.04838</loc><lastmod>2018-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partial-auc-maximization-via-nonlinear-scoring-functions-1806.04838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partial-auc-maximization-via-nonlinear-scoring-functions-1806.04838"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-scalable-bayesian-deep-learning-by-weight-perturbation-in-adam-1806.04854</loc><lastmod>2018-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-scalable-bayesian-deep-learning-by-weight-perturbation-in-adam-1806.04854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-scalable-bayesian-deep-learning-by-weight-perturbation-in-adam-1806.04854"/></url>
<url><loc>https://scifaro.com/en/abs/spurious-local-minima-of-deep-relu-neural-networks-in-the-neural-tangent-kernel-regime-1806.04884</loc><lastmod>2022-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spurious-local-minima-of-deep-relu-neural-networks-in-the-neural-tangent-kernel-regime-1806.04884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spurious-local-minima-of-deep-relu-neural-networks-in-the-neural-tangent-kernel-regime-1806.04884"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-item-recommendation-system-for-video-games-1806.04900</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-item-recommendation-system-for-video-games-1806.04900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-item-recommendation-system-for-video-games-1806.04900"/></url>
<url><loc>https://scifaro.com/en/abs/bilevel-programming-for-hyperparameter-optimization-and-meta-learning-1806.04910</loc><lastmod>2018-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bilevel-programming-for-hyperparameter-optimization-and-meta-learning-1806.04910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bilevel-programming-for-hyperparameter-optimization-and-meta-learning-1806.04910"/></url>
<url><loc>https://scifaro.com/en/abs/the-streaming-rollout-of-deep-networks-towards-fully-model-parallel-execution-1806.04965</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-streaming-rollout-of-deep-networks-towards-fully-model-parallel-execution-1806.04965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-streaming-rollout-of-deep-networks-towards-fully-model-parallel-execution-1806.04965"/></url>
<url><loc>https://scifaro.com/en/abs/only-bayes-should-learn-a-manifold-on-the-estimation-of-differential-geometric-structure-from-data-1806.04994</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/only-bayes-should-learn-a-manifold-on-the-estimation-of-differential-geometric-structure-from-data-1806.04994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/only-bayes-should-learn-a-manifold-on-the-estimation-of-differential-geometric-structure-from-data-1806.04994"/></url>
<url><loc>https://scifaro.com/en/abs/support-vector-machine-application-for-multiphase-flow-pattern-prediction-1806.05054</loc><lastmod>2018-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/support-vector-machine-application-for-multiphase-flow-pattern-prediction-1806.05054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/support-vector-machine-application-for-multiphase-flow-pattern-prediction-1806.05054"/></url>
<url><loc>https://scifaro.com/en/abs/your-2-is-my-1-your-3-is-my-9-handling-arbitrary-miscalibrations-in-ratings-1806.05085</loc><lastmod>2018-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/your-2-is-my-1-your-3-is-my-9-handling-arbitrary-miscalibrations-in-ratings-1806.05085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/your-2-is-my-1-your-3-is-my-9-handling-arbitrary-miscalibrations-in-ratings-1806.05085"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-inference-for-cluster-based-graphical-models-1806.05139</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-inference-for-cluster-based-graphical-models-1806.05139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-inference-for-cluster-based-graphical-models-1806.05139"/></url>
<url><loc>https://scifaro.com/en/abs/overfitting-or-perfect-fitting-risk-bounds-for-classification-and-regression-rules-that-interpolate-1806.05161</loc><lastmod>2018-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overfitting-or-perfect-fitting-risk-bounds-for-classification-and-regression-rules-that-interpolate-1806.05161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overfitting-or-perfect-fitting-risk-bounds-for-classification-and-regression-rules-that-interpolate-1806.05161"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-mixup-better-representations-by-interpolating-hidden-states-1806.05236</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-mixup-better-representations-by-interpolating-hidden-states-1806.05236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-mixup-better-representations-by-interpolating-hidden-states-1806.05236"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarks-for-image-classification-and-other-high-dimensional-pattern-recognition-problems-1806.05272</loc><lastmod>2018-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarks-for-image-classification-and-other-high-dimensional-pattern-recognition-problems-1806.05272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarks-for-image-classification-and-other-high-dimensional-pattern-recognition-problems-1806.05272"/></url>
<url><loc>https://scifaro.com/en/abs/pattern-dependence-detection-using-n-tarp-clustering-1806.05297</loc><lastmod>2018-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pattern-dependence-detection-using-n-tarp-clustering-1806.05297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pattern-dependence-detection-using-n-tarp-clustering-1806.05297"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-dynamic-urban-transportation-problems-1806.05310</loc><lastmod>2018-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-dynamic-urban-transportation-problems-1806.05310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-dynamic-urban-transportation-problems-1806.05310"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-neural-network-compression-and-pruning-using-hard-clustering-and-l1-regularization-1806.05355</loc><lastmod>2018-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-neural-network-compression-and-pruning-using-hard-clustering-and-l1-regularization-1806.05355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-neural-network-compression-and-pruning-using-hard-clustering-and-l1-regularization-1806.05355"/></url>
<url><loc>https://scifaro.com/en/abs/pcas-pruning-channels-with-attention-statistics-for-deep-network-compression-1806.05382</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pcas-pruning-channels-with-attention-statistics-for-deep-network-compression-1806.05382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pcas-pruning-channels-with-attention-statistics-for-deep-network-compression-1806.05382"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-learning-and-change-detection-using-a-particle-filter-with-accelerated-adaptation-1806.05387</loc><lastmod>2018-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-learning-and-change-detection-using-a-particle-filter-with-accelerated-adaptation-1806.05387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-learning-and-change-detection-using-a-particle-filter-with-accelerated-adaptation-1806.05387"/></url>
<url><loc>https://scifaro.com/en/abs/dynamical-isometry-and-a-mean-field-theory-of-cnns-how-to-train-10-000-layer-vanilla-convolutional-neural-networks-1806.05393</loc><lastmod>2018-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamical-isometry-and-a-mean-field-theory-of-cnns-how-to-train-10-000-layer-vanilla-convolutional-neural-networks-1806.05393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamical-isometry-and-a-mean-field-theory-of-cnns-how-to-train-10-000-layer-vanilla-convolutional-neural-networks-1806.05393"/></url>
<url><loc>https://scifaro.com/en/abs/dynamical-isometry-and-a-mean-field-theory-of-rnns-gating-enables-signal-propagation-in-recurrent-neural-networks-1806.05394</loc><lastmod>2018-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamical-isometry-and-a-mean-field-theory-of-rnns-gating-enables-signal-propagation-in-recurrent-neural-networks-1806.05394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamical-isometry-and-a-mean-field-theory-of-rnns-gating-enables-signal-propagation-in-recurrent-neural-networks-1806.05394"/></url>
<url><loc>https://scifaro.com/en/abs/learning-dynamics-of-linear-denoising-autoencoders-1806.05413</loc><lastmod>2018-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-dynamics-of-linear-denoising-autoencoders-1806.05413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-dynamics-of-linear-denoising-autoencoders-1806.05413"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-recovery-from-limited-comparisons-using-low-rank-matrix-completion-1806.05419</loc><lastmod>2018-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-recovery-from-limited-comparisons-using-low-rank-matrix-completion-1806.05419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-recovery-from-limited-comparisons-using-low-rank-matrix-completion-1806.05419"/></url>
<url><loc>https://scifaro.com/en/abs/selfless-sequential-learning-1806.05421</loc><lastmod>2019-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selfless-sequential-learning-1806.05421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selfless-sequential-learning-1806.05421"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-descent-with-exponential-convergence-rates-of-expected-classification-errors-1806.05438</loc><lastmod>2022-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-descent-with-exponential-convergence-rates-of-expected-classification-errors-1806.05438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-descent-with-exponential-convergence-rates-of-expected-classification-errors-1806.05438"/></url>
<url><loc>https://scifaro.com/en/abs/inference-in-deep-gaussian-processes-using-stochastic-gradient-hamiltonian-monte-carlo-1806.05490</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-in-deep-gaussian-processes-using-stochastic-gradient-hamiltonian-monte-carlo-1806.05490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-in-deep-gaussian-processes-using-stochastic-gradient-hamiltonian-monte-carlo-1806.05490"/></url>
<url><loc>https://scifaro.com/en/abs/scrutinizing-and-de-biasing-intuitive-physics-with-neural-stethoscopes-1806.05502</loc><lastmod>2019-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scrutinizing-and-de-biasing-intuitive-physics-with-neural-stethoscopes-1806.05502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scrutinizing-and-de-biasing-intuitive-physics-with-neural-stethoscopes-1806.05502"/></url>
<url><loc>https://scifaro.com/en/abs/the-exact-equivalence-of-distance-and-kernel-methods-for-hypothesis-testing-1806.05514</loc><lastmod>2024-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-exact-equivalence-of-distance-and-kernel-methods-for-hypothesis-testing-1806.05514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-exact-equivalence-of-distance-and-kernel-methods-for-hypothesis-testing-1806.05514"/></url>
<url><loc>https://scifaro.com/en/abs/learning-influence-receptivity-network-structure-with-guarantee-1806.05730</loc><lastmod>2019-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-influence-receptivity-network-structure-with-guarantee-1806.05730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-influence-receptivity-network-structure-with-guarantee-1806.05730"/></url>
<url><loc>https://scifaro.com/en/abs/insights-on-representational-similarity-in-neural-networks-with-canonical-correlation-1806.05759</loc><lastmod>2018-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/insights-on-representational-similarity-in-neural-networks-with-canonical-correlation-1806.05759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/insights-on-representational-similarity-in-neural-networks-with-canonical-correlation-1806.05759"/></url>
<url><loc>https://scifaro.com/en/abs/primal-dual-residual-networks-1806.05823</loc><lastmod>2018-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/primal-dual-residual-networks-1806.05823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/primal-dual-residual-networks-1806.05823"/></url>
<url><loc>https://scifaro.com/en/abs/data-efficient-design-exploration-through-surrogate-assisted-illumination-1806.05865</loc><lastmod>2018-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-efficient-design-exploration-through-surrogate-assisted-illumination-1806.05865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-efficient-design-exploration-through-surrogate-assisted-illumination-1806.05865"/></url>
<url><loc>https://scifaro.com/en/abs/query-k-means-clustering-and-the-double-dixie-cup-problem-1806.05938</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/query-k-means-clustering-and-the-double-dixie-cup-problem-1806.05938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/query-k-means-clustering-and-the-double-dixie-cup-problem-1806.05938"/></url>
<url><loc>https://scifaro.com/en/abs/controllable-semantic-image-inpainting-1806.05953</loc><lastmod>2018-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controllable-semantic-image-inpainting-1806.05953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controllable-semantic-image-inpainting-1806.05953"/></url>
<url><loc>https://scifaro.com/en/abs/structured-variational-learning-of-bayesian-neural-networks-with-horseshoe-priors-1806.05975</loc><lastmod>2018-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-variational-learning-of-bayesian-neural-networks-with-horseshoe-priors-1806.05975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-variational-learning-of-bayesian-neural-networks-with-horseshoe-priors-1806.05975"/></url>
<url><loc>https://scifaro.com/en/abs/on-machine-learning-and-structure-for-mobile-robots-1806.06003</loc><lastmod>2018-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-machine-learning-and-structure-for-mobile-robots-1806.06003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-machine-learning-and-structure-for-mobile-robots-1806.06003"/></url>
<url><loc>https://scifaro.com/en/abs/computationally-efficient-estimation-of-the-spectral-gap-of-a-markov-chain-1806.06047</loc><lastmod>2019-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computationally-efficient-estimation-of-the-spectral-gap-of-a-markov-chain-1806.06047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computationally-efficient-estimation-of-the-spectral-gap-of-a-markov-chain-1806.06047"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-trajectory-segmentation-by-means-of-hierarchical-dirichlet-process-switching-linear-dynamical-systems-1806.06063</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-trajectory-segmentation-by-means-of-hierarchical-dirichlet-process-switching-linear-dynamical-systems-1806.06063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-trajectory-segmentation-by-means-of-hierarchical-dirichlet-process-switching-linear-dynamical-systems-1806.06063"/></url>
<url><loc>https://scifaro.com/en/abs/crime-event-embedding-with-unsupervised-feature-selection-1806.06095</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crime-event-embedding-with-unsupervised-feature-selection-1806.06095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crime-event-embedding-with-unsupervised-feature-selection-1806.06095"/></url>
<url><loc>https://scifaro.com/en/abs/non-negative-networks-against-adversarial-attacks-1806.06108</loc><lastmod>2019-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-negative-networks-against-adversarial-attacks-1806.06108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-negative-networks-against-adversarial-attacks-1806.06108"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-machines-that-adapt-to-gpus-for-effective-large-batch-training-1806.06144</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-machines-that-adapt-to-gpus-for-effective-large-batch-training-1806.06144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-machines-that-adapt-to-gpus-for-effective-large-batch-training-1806.06144"/></url>
<url><loc>https://scifaro.com/en/abs/the-reduced-pc-algorithm-improved-causal-structure-learning-in-large-random-networks-1806.06209</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-reduced-pc-algorithm-improved-causal-structure-learning-in-large-random-networks-1806.06209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-reduced-pc-algorithm-improved-causal-structure-learning-in-large-random-networks-1806.06209"/></url>
<url><loc>https://scifaro.com/en/abs/peerreview4all-fair-and-accurate-reviewer-assignment-in-peer-review-1806.06237</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/peerreview4all-fair-and-accurate-reviewer-assignment-in-peer-review-1806.06237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/peerreview4all-fair-and-accurate-reviewer-assignment-in-peer-review-1806.06237"/></url>
<url><loc>https://scifaro.com/en/abs/initialization-of-relus-for-dynamical-isometry-1806.06362</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/initialization-of-relus-for-dynamical-isometry-1806.06362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/initialization-of-relus-for-dynamical-isometry-1806.06362"/></url>
<url><loc>https://scifaro.com/en/abs/feature-learning-and-classification-in-neuroimaging-predicting-cognitive-impairment-from-magnetic-resonance-imaging-1806.06415</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-learning-and-classification-in-neuroimaging-predicting-cognitive-impairment-from-magnetic-resonance-imaging-1806.06415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-learning-and-classification-in-neuroimaging-predicting-cognitive-impairment-from-magnetic-resonance-imaging-1806.06415"/></url>
<url><loc>https://scifaro.com/en/abs/compressed-sensing-with-deep-image-prior-and-learned-regularization-1806.06438</loc><lastmod>2020-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressed-sensing-with-deep-image-prior-and-learned-regularization-1806.06438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressed-sensing-with-deep-image-prior-and-learned-regularization-1806.06438"/></url>
<url><loc>https://scifaro.com/en/abs/the-information-autoencoding-family-a-lagrangian-perspective-on-latent-variable-generative-models-1806.06514</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-information-autoencoding-family-a-lagrangian-perspective-on-latent-variable-generative-models-1806.06514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-information-autoencoding-family-a-lagrangian-perspective-on-latent-variable-generative-models-1806.06514"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-based-random-forests-1806.06616</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-based-random-forests-1806.06616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-based-random-forests-1806.06616"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-based-outlier-detection-using-the-inverse-christoffel-function-1806.06775</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-based-outlier-detection-using-the-inverse-christoffel-function-1806.06775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-based-outlier-detection-using-the-inverse-christoffel-function-1806.06775"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-almost-matching-exactly-for-causal-inference-1806.06802</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-almost-matching-exactly-for-causal-inference-1806.06802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-almost-matching-exactly-for-causal-inference-1806.06802"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayes-bounds-for-stable-algorithms-with-instance-dependent-priors-1806.06827</loc><lastmod>2018-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayes-bounds-for-stable-algorithms-with-instance-dependent-priors-1806.06827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayes-bounds-for-stable-algorithms-with-instance-dependent-priors-1806.06827"/></url>
<url><loc>https://scifaro.com/en/abs/overlapping-clustering-models-and-one-class-svm-to-bind-them-all-1806.06945</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overlapping-clustering-models-and-one-class-svm-to-bind-them-all-1806.06945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overlapping-clustering-models-and-one-class-svm-to-bind-them-all-1806.06945"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-analysis-of-image-to-image-translation-with-adversarial-learning-1806.07001</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-analysis-of-image-to-image-translation-with-adversarial-learning-1806.07001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-analysis-of-image-to-image-translation-with-adversarial-learning-1806.07001"/></url>
<url><loc>https://scifaro.com/en/abs/maximally-invariant-data-perturbation-as-explanation-1806.07004</loc><lastmod>2018-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximally-invariant-data-perturbation-as-explanation-1806.07004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximally-invariant-data-perturbation-as-explanation-1806.07004"/></url>
<url><loc>https://scifaro.com/en/abs/simplifying-probabilistic-expressions-in-causal-inference-1806.07082</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simplifying-probabilistic-expressions-in-causal-inference-1806.07082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simplifying-probabilistic-expressions-in-causal-inference-1806.07082"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-identification-of-causal-effects-by-pruning-1806.07085</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-identification-of-causal-effects-by-pruning-1806.07085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-identification-of-causal-effects-by-pruning-1806.07085"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-tensor-product-toolbox-1806.07247</loc><lastmod>2018-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-tensor-product-toolbox-1806.07247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-tensor-product-toolbox-1806.07247"/></url>
<url><loc>https://scifaro.com/en/abs/canonical-tensor-decomposition-for-knowledge-base-completion-1806.07297</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/canonical-tensor-decomposition-for-knowledge-base-completion-1806.07297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/canonical-tensor-decomposition-for-knowledge-base-completion-1806.07297"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-from-non-linear-observations-via-convex-programming-with-application-to-bilinear-regression-1806.07307</loc><lastmod>2019-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-from-non-linear-observations-via-convex-programming-with-application-to-bilinear-regression-1806.07307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-from-non-linear-observations-via-convex-programming-with-application-to-bilinear-regression-1806.07307"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-optimal-transport-via-factored-couplings-1806.07348</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-optimal-transport-via-factored-couplings-1806.07348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-optimal-transport-via-factored-couplings-1806.07348"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-explanations-with-local-foil-trees-1806.07470</loc><lastmod>2018-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-explanations-with-local-foil-trees-1806.07470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-explanations-with-local-foil-trees-1806.07470"/></url>
<url><loc>https://scifaro.com/en/abs/a-latent-variable-approach-to-gaussian-process-modeling-with-qualitative-and-quantitative-factors-1806.07504</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-latent-variable-approach-to-gaussian-process-modeling-with-qualitative-and-quantitative-factors-1806.07504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-latent-variable-approach-to-gaussian-process-modeling-with-qualitative-and-quantitative-factors-1806.07504"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-in-multitask-transfer-learning-1806.07528</loc><lastmod>2018-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-in-multitask-transfer-learning-1806.07528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-in-multitask-transfer-learning-1806.07528"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-inference-in-stochastic-block-models-with-vertex-labels-1806.07562</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-inference-in-stochastic-block-models-with-vertex-labels-1806.07562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-inference-in-stochastic-block-models-with-vertex-labels-1806.07562"/></url>
<url><loc>https://scifaro.com/en/abs/non-parametric-calibration-of-probabilistic-regression-1806.07690</loc><lastmod>2018-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-parametric-calibration-of-probabilistic-regression-1806.07690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-parametric-calibration-of-probabilistic-regression-1806.07690"/></url>
<url><loc>https://scifaro.com/en/abs/self-weighted-multiple-kernel-learning-for-graph-based-clustering-and-semi-supervised-classification-1806.07697</loc><lastmod>2018-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-weighted-multiple-kernel-learning-for-graph-based-clustering-and-semi-supervised-classification-1806.07697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-weighted-multiple-kernel-learning-for-graph-based-clustering-and-semi-supervised-classification-1806.07697"/></url>
<url><loc>https://scifaro.com/en/abs/random-feature-stein-discrepancies-1806.07788</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-feature-stein-discrepancies-1806.07788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-feature-stein-discrepancies-1806.07788"/></url>
<url><loc>https://scifaro.com/en/abs/learning-one-hidden-layer-relu-networks-via-gradient-descent-1806.07808</loc><lastmod>2018-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-one-hidden-layer-relu-networks-via-gradient-descent-1806.07808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-one-hidden-layer-relu-networks-via-gradient-descent-1806.07808"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-change-point-detection-in-high-dimensional-gaussian-graphical-models-1806.07870</loc><lastmod>2018-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-change-point-detection-in-high-dimensional-gaussian-graphical-models-1806.07870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-change-point-detection-in-high-dimensional-gaussian-graphical-models-1806.07870"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-without-demographics-in-repeated-loss-minimization-1806.08010</loc><lastmod>2018-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-without-demographics-in-repeated-loss-minimization-1806.08010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-without-demographics-in-repeated-loss-minimization-1806.08010"/></url>
<url><loc>https://scifaro.com/en/abs/a-data-driven-model-order-reduction-approach-for-stokes-flow-through-random-porous-media-1806.08117</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-data-driven-model-order-reduction-approach-for-stokes-flow-through-random-porous-media-1806.08117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-data-driven-model-order-reduction-approach-for-stokes-flow-through-random-porous-media-1806.08117"/></url>
<url><loc>https://scifaro.com/en/abs/sliced-wasserstein-flows-nonparametric-generative-modeling-via-optimal-transport-and-diffusions-1806.08141</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sliced-wasserstein-flows-nonparametric-generative-modeling-via-optimal-transport-and-diffusions-1806.08141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sliced-wasserstein-flows-nonparametric-generative-modeling-via-optimal-transport-and-diffusions-1806.08141"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-efficient-boosting-method-using-the-conditional-risk-1806.08151</loc><lastmod>2018-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-efficient-boosting-method-using-the-conditional-risk-1806.08151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-efficient-boosting-method-using-the-conditional-risk-1806.08151"/></url>
<url><loc>https://scifaro.com/en/abs/identifiability-of-gaussian-structural-equation-models-with-dependent-errors-having-equal-variances-1806.08156</loc><lastmod>2018-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifiability-of-gaussian-structural-equation-models-with-dependent-errors-having-equal-variances-1806.08156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifiability-of-gaussian-structural-equation-models-with-dependent-errors-having-equal-variances-1806.08156"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-parafac2-1806.08195</loc><lastmod>2018-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-parafac2-1806.08195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-parafac2-1806.08195"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-network-inference-techniques-for-neural-activation-time-series-1806.08212</loc><lastmod>2018-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-network-inference-techniques-for-neural-activation-time-series-1806.08212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-network-inference-techniques-for-neural-activation-time-series-1806.08212"/></url>
<url><loc>https://scifaro.com/en/abs/the-online-saddle-point-problem-and-online-convex-optimization-with-knapsacks-1806.08301</loc><lastmod>2020-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-online-saddle-point-problem-and-online-convex-optimization-with-knapsacks-1806.08301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-online-saddle-point-problem-and-online-convex-optimization-with-knapsacks-1806.08301"/></url>
<url><loc>https://scifaro.com/en/abs/fashion-gen-the-generative-fashion-dataset-and-challenge-1806.08317</loc><lastmod>2018-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fashion-gen-the-generative-fashion-dataset-and-challenge-1806.08317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fashion-gen-the-generative-fashion-dataset-and-challenge-1806.08317"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-and-understanding-deep-neural-networks-in-ctr-prediction-1806.08541</loc><lastmod>2018-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-and-understanding-deep-neural-networks-in-ctr-prediction-1806.08541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-and-understanding-deep-neural-networks-in-ctr-prediction-1806.08541"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-monte-carlo-particle-methods-for-the-gpu-era-1806.08593</loc><lastmod>2019-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-monte-carlo-particle-methods-for-the-gpu-era-1806.08593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-monte-carlo-particle-methods-for-the-gpu-era-1806.08593"/></url>
<url><loc>https://scifaro.com/en/abs/variational-learning-across-domains-with-triplet-information-1806.08672</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-learning-across-domains-with-triplet-information-1806.08672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-learning-across-domains-with-triplet-information-1806.08672"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-spectral-bias-of-neural-networks-1806.08734</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-spectral-bias-of-neural-networks-1806.08734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-spectral-bias-of-neural-networks-1806.08734"/></url>
<url><loc>https://scifaro.com/en/abs/learning-traffic-flow-dynamics-using-random-fields-1806.08764</loc><lastmod>2019-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-traffic-flow-dynamics-using-random-fields-1806.08764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-traffic-flow-dynamics-using-random-fields-1806.08764"/></url>
<url><loc>https://scifaro.com/en/abs/pca-of-high-dimensional-random-walks-with-comparison-to-neural-network-training-1806.08805</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pca-of-high-dimensional-random-walks-with-comparison-to-neural-network-training-1806.08805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pca-of-high-dimensional-random-walks-with-comparison-to-neural-network-training-1806.08805"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-of-combinatorial-structures-1806.08838</loc><lastmod>2018-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-of-combinatorial-structures-1806.08838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-of-combinatorial-structures-1806.08838"/></url>
<url><loc>https://scifaro.com/en/abs/the-sparse-manifold-transform-1806.08887</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-sparse-manifold-transform-1806.08887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-sparse-manifold-transform-1806.08887"/></url>
<url><loc>https://scifaro.com/en/abs/overlapping-sliced-inverse-regression-for-dimension-reduction-1806.08911</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overlapping-sliced-inverse-regression-for-dimension-reduction-1806.08911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overlapping-sliced-inverse-regression-for-dimension-reduction-1806.08911"/></url>
<url><loc>https://scifaro.com/en/abs/dalex-explainers-for-complex-predictive-models-1806.08915</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dalex-explainers-for-complex-predictive-models-1806.08915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dalex-explainers-for-complex-predictive-models-1806.08915"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-the-wisdom-of-the-crowd-inference-learning-and-teaching-1806.09018</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-the-wisdom-of-the-crowd-inference-learning-and-teaching-1806.09018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-the-wisdom-of-the-crowd-inference-learning-and-teaching-1806.09018"/></url>
<url><loc>https://scifaro.com/en/abs/deductron-a-recurrent-neural-network-1806.09038</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deductron-a-recurrent-neural-network-1806.09038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deductron-a-recurrent-neural-network-1806.09038"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-backprop-online-alternating-minimization-with-auxiliary-variables-1806.09077</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-backprop-online-alternating-minimization-with-auxiliary-variables-1806.09077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-backprop-online-alternating-minimization-with-auxiliary-variables-1806.09077"/></url>
<url><loc>https://scifaro.com/en/abs/constructing-deep-neural-networks-by-bayesian-network-structure-learning-1806.09141</loc><lastmod>2018-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constructing-deep-neural-networks-by-bayesian-network-structure-learning-1806.09141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constructing-deep-neural-networks-by-bayesian-network-structure-learning-1806.09141"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-unified-analysis-of-random-fourier-features-1806.09178</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-unified-analysis-of-random-fourier-features-1806.09178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-unified-analysis-of-random-fourier-features-1806.09178"/></url>
<url><loc>https://scifaro.com/en/abs/clebsch-gordan-nets-a-fully-fourier-space-spherical-convolutional-neural-network-1806.09231</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clebsch-gordan-nets-a-fully-fourier-space-spherical-convolutional-neural-network-1806.09231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clebsch-gordan-nets-a-fully-fourier-space-spherical-convolutional-neural-network-1806.09231"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-better-understanding-and-regularization-of-gan-training-dynamics-1806.09235</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-better-understanding-and-regularization-of-gan-training-dynamics-1806.09235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-better-understanding-and-regularization-of-gan-training-dynamics-1806.09235"/></url>
<url><loc>https://scifaro.com/en/abs/towards-optimal-transport-with-global-invariances-1806.09277</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-optimal-transport-with-global-invariances-1806.09277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-optimal-transport-with-global-invariances-1806.09277"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-likelihood-optimization-for-ica-on-real-signals-1806.09390</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-likelihood-optimization-for-ica-on-real-signals-1806.09390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-likelihood-optimization-for-ica-on-real-signals-1806.09390"/></url>
<url><loc>https://scifaro.com/en/abs/propagating-uncertainty-through-the-tanh-function-with-application-to-reservoir-computing-1806.09431</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/propagating-uncertainty-through-the-tanh-function-with-application-to-reservoir-computing-1806.09431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/propagating-uncertainty-through-the-tanh-function-with-application-to-reservoir-computing-1806.09431"/></url>
<url><loc>https://scifaro.com/en/abs/target-robust-discriminant-analysis-1806.09463</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/target-robust-discriminant-analysis-1806.09463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/target-robust-discriminant-analysis-1806.09463"/></url>
<url><loc>https://scifaro.com/en/abs/does-data-interpolation-contradict-statistical-optimality-1806.09471</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-data-interpolation-contradict-statistical-optimality-1806.09471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-data-interpolation-contradict-statistical-optimality-1806.09471"/></url>
<url><loc>https://scifaro.com/en/abs/towards-optimal-estimation-of-bivariate-isotonic-matrices-with-unknown-permutations-1806.09544</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-optimal-estimation-of-bivariate-isotonic-matrices-with-unknown-permutations-1806.09544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-optimal-estimation-of-bivariate-isotonic-matrices-with-unknown-permutations-1806.09544"/></url>
<url><loc>https://scifaro.com/en/abs/mimic-and-classify-a-meta-algorithm-for-conditional-independence-testing-1806.09708</loc><lastmod>2018-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mimic-and-classify-a-meta-algorithm-for-conditional-independence-testing-1806.09708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mimic-and-classify-a-meta-algorithm-for-conditional-independence-testing-1806.09708"/></url>
<url><loc>https://scifaro.com/en/abs/why-interpretability-in-machine-learning-an-answer-using-distributed-detection-and-data-fusion-theory-1806.09710</loc><lastmod>2018-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-interpretability-in-machine-learning-an-answer-using-distributed-detection-and-data-fusion-theory-1806.09710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-interpretability-in-machine-learning-an-answer-using-distributed-detection-and-data-fusion-theory-1806.09710"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-structured-prediction-1806.09908</loc><lastmod>2018-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-structured-prediction-1806.09908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-structured-prediction-1806.09908"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-vampprior-variational-fair-auto-encoder-1806.09918</loc><lastmod>2018-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-vampprior-variational-fair-auto-encoder-1806.09918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-vampprior-variational-fair-auto-encoder-1806.09918"/></url>
<url><loc>https://scifaro.com/en/abs/the-decoupled-extended-kalman-filter-for-dynamic-exponential-family-factorization-models-1806.09976</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-decoupled-extended-kalman-filter-for-dynamic-exponential-family-factorization-models-1806.09976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-decoupled-extended-kalman-filter-for-dynamic-exponential-family-factorization-models-1806.09976"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-compressed-sensing-measurement-matrix-via-gradient-unrolling-1806.10175</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-compressed-sensing-measurement-matrix-via-gradient-unrolling-1806.10175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-compressed-sensing-measurement-matrix-via-gradient-unrolling-1806.10175"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-gaussian-process-inference-with-finite-data-mean-and-variance-guarantees-1806.10234</loc><lastmod>2019-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-gaussian-process-inference-with-finite-data-mean-and-variance-guarantees-1806.10234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-gaussian-process-inference-with-finite-data-mean-and-variance-guarantees-1806.10234"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-assortment-selection-under-the-nested-logit-models-1806.10410</loc><lastmod>2021-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-assortment-selection-under-the-nested-logit-models-1806.10410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-assortment-selection-under-the-nested-logit-models-1806.10410"/></url>
<url><loc>https://scifaro.com/en/abs/employee-attrition-prediction-1806.10480</loc><lastmod>2018-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/employee-attrition-prediction-1806.10480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/employee-attrition-prediction-1806.10480"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-risk-minimization-and-stochastic-gradient-descent-for-relational-data-1806.10701</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-risk-minimization-and-stochastic-gradient-descent-for-relational-data-1806.10701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-risk-minimization-and-stochastic-gradient-descent-for-relational-data-1806.10701"/></url>
<url><loc>https://scifaro.com/en/abs/deep-echo-state-networks-with-uncertainty-quantification-for-spatio-temporal-forecasting-1806.10728</loc><lastmod>2018-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-echo-state-networks-with-uncertainty-quantification-for-spatio-temporal-forecasting-1806.10728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-echo-state-networks-with-uncertainty-quantification-for-spatio-temporal-forecasting-1806.10728"/></url>
<url><loc>https://scifaro.com/en/abs/risk-averse-estimation-an-axiomatic-approach-to-inference-and-wallace-freeman-without-mml-1806.10736</loc><lastmod>2019-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-averse-estimation-an-axiomatic-approach-to-inference-and-wallace-freeman-without-mml-1806.10736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-averse-estimation-an-axiomatic-approach-to-inference-and-wallace-freeman-without-mml-1806.10736"/></url>
<url><loc>https://scifaro.com/en/abs/spatiotemporal-prediction-of-ambulance-demand-using-gaussian-process-regression-1806.10873</loc><lastmod>2018-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatiotemporal-prediction-of-ambulance-demand-using-gaussian-process-regression-1806.10873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatiotemporal-prediction-of-ambulance-demand-using-gaussian-process-regression-1806.10873"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-exploration-of-machine-learning-experiments-on-openml-1806.10961</loc><lastmod>2018-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-exploration-of-machine-learning-experiments-on-openml-1806.10961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-exploration-of-machine-learning-experiments-on-openml-1806.10961"/></url>
<url><loc>https://scifaro.com/en/abs/recovering-trees-with-convex-clustering-1806.11096</loc><lastmod>2018-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovering-trees-with-convex-clustering-1806.11096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovering-trees-with-convex-clustering-1806.11096"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-detection-and-explanation-of-latent-class-contextual-anomalies-1806.11326</loc><lastmod>2018-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-detection-and-explanation-of-latent-class-contextual-anomalies-1806.11326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-detection-and-explanation-of-latent-class-contextual-anomalies-1806.11326"/></url>
<url><loc>https://scifaro.com/en/abs/certifying-global-optimality-of-graph-cuts-via-semidefinite-relaxation-a-performance-guarantee-for-spectral-clustering-1806.11429</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certifying-global-optimality-of-graph-cuts-via-semidefinite-relaxation-a-performance-guarantee-for-spectral-clustering-1806.11429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certifying-global-optimality-of-graph-cuts-via-semidefinite-relaxation-a-performance-guarantee-for-spectral-clustering-1806.11429"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-learning-from-bayesian-models-with-randomized-objective-functions-1806.11544</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-learning-from-bayesian-models-with-randomized-objective-functions-1806.11544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-learning-from-bayesian-models-with-randomized-objective-functions-1806.11544"/></url>
<url><loc>https://scifaro.com/en/abs/single-index-latent-variable-models-for-network-topology-inference-1807.00002</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/single-index-latent-variable-models-for-network-topology-inference-1807.00002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/single-index-latent-variable-models-for-network-topology-inference-1807.00002"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-trained-to-solve-differential-equations-learn-general-representations-1807.00042</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-trained-to-solve-differential-equations-learn-general-representations-1807.00042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-trained-to-solve-differential-equations-learn-general-representations-1807.00042"/></url>
<url><loc>https://scifaro.com/en/abs/fully-nonparametric-bayesian-additive-regression-trees-1807.00068</loc><lastmod>2018-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-nonparametric-bayesian-additive-regression-trees-1807.00068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-nonparametric-bayesian-additive-regression-trees-1807.00068"/></url>
<url><loc>https://scifaro.com/en/abs/a-learning-theory-in-linear-systems-under-compositional-models-1807.00084</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-learning-theory-in-linear-systems-under-compositional-models-1807.00084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-learning-theory-in-linear-systems-under-compositional-models-1807.00084"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-bisection-with-spatial-metamodels-1807.00095</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-bisection-with-spatial-metamodels-1807.00095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-bisection-with-spatial-metamodels-1807.00095"/></url>
<url><loc>https://scifaro.com/en/abs/chemmodlab-a-cheminformatics-modeling-laboratory-for-fitting-and-assessing-machine-learning-models-1807.00243</loc><lastmod>2018-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chemmodlab-a-cheminformatics-modeling-laboratory-for-fitting-and-assessing-machine-learning-models-1807.00243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chemmodlab-a-cheminformatics-modeling-laboratory-for-fitting-and-assessing-machine-learning-models-1807.00243"/></url>
<url><loc>https://scifaro.com/en/abs/heuristic-framework-for-multi-scale-testing-of-the-multi-manifold-hypothesis-1807.00349</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heuristic-framework-for-multi-scale-testing-of-the-multi-manifold-hypothesis-1807.00349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heuristic-framework-for-multi-scale-testing-of-the-multi-manifold-hypothesis-1807.00349"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-reversal-against-discrimination-1807.00392</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-reversal-against-discrimination-1807.00392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-reversal-against-discrimination-1807.00392"/></url>
<url><loc>https://scifaro.com/en/abs/antithetic-and-monte-carlo-kernel-estimators-for-partial-rankings-1807.00400</loc><lastmod>2018-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/antithetic-and-monte-carlo-kernel-estimators-for-partial-rankings-1807.00400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/antithetic-and-monte-carlo-kernel-estimators-for-partial-rankings-1807.00400"/></url>
<url><loc>https://scifaro.com/en/abs/multi-distance-support-matrix-machines-1807.00451</loc><lastmod>2018-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-distance-support-matrix-machines-1807.00451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-distance-support-matrix-machines-1807.00451"/></url>
<url><loc>https://scifaro.com/en/abs/deep-convolutional-encoder-decoder-networks-for-uncertainty-quantification-of-dynamic-multiphase-flow-in-heterogeneous-media-1807.00882</loc><lastmod>2019-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-convolutional-encoder-decoder-networks-for-uncertainty-quantification-of-dynamic-multiphase-flow-in-heterogeneous-media-1807.00882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-convolutional-encoder-decoder-networks-for-uncertainty-quantification-of-dynamic-multiphase-flow-in-heterogeneous-media-1807.00882"/></url>
<url><loc>https://scifaro.com/en/abs/structure-learning-of-markov-random-fields-through-grow-shrink-maximum-pseudolikelihood-estimation-1807.00944</loc><lastmod>2018-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-learning-of-markov-random-fields-through-grow-shrink-maximum-pseudolikelihood-estimation-1807.00944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-learning-of-markov-random-fields-through-grow-shrink-maximum-pseudolikelihood-estimation-1807.00944"/></url>
<url><loc>https://scifaro.com/en/abs/when-gaussian-process-meets-big-data-a-review-of-scalable-gps-1807.01065</loc><lastmod>2019-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-gaussian-process-meets-big-data-a-review-of-scalable-gps-1807.01065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-gaussian-process-meets-big-data-a-review-of-scalable-gps-1807.01065"/></url>
<url><loc>https://scifaro.com/en/abs/generating-multi-categorical-samples-with-generative-adversarial-networks-1807.01202</loc><lastmod>2018-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-multi-categorical-samples-with-generative-adversarial-networks-1807.01202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-multi-categorical-samples-with-generative-adversarial-networks-1807.01202"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-control-of-explore-exploit-trade-off-in-bayesian-optimization-1807.01279</loc><lastmod>2018-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-control-of-explore-exploit-trade-off-in-bayesian-optimization-1807.01279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-control-of-explore-exploit-trade-off-in-bayesian-optimization-1807.01279"/></url>
<url><loc>https://scifaro.com/en/abs/new-losses-for-generative-adversarial-learning-1807.01290</loc><lastmod>2018-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-losses-for-generative-adversarial-learning-1807.01290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-losses-for-generative-adversarial-learning-1807.01290"/></url>
<url><loc>https://scifaro.com/en/abs/proceedings-of-the-2018-icml-workshop-on-human-interpretability-in-machine-learning-whi-2018-1807.01308</loc><lastmod>2018-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proceedings-of-the-2018-icml-workshop-on-human-interpretability-in-machine-learning-whi-2018-1807.01308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proceedings-of-the-2018-icml-workshop-on-human-interpretability-in-machine-learning-whi-2018-1807.01308"/></url>
<url><loc>https://scifaro.com/en/abs/breast-cancer-diagnosis-via-classification-algorithms-1807.01334</loc><lastmod>2018-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breast-cancer-diagnosis-via-classification-algorithms-1807.01334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breast-cancer-diagnosis-via-classification-algorithms-1807.01334"/></url>
<url><loc>https://scifaro.com/en/abs/diagonal-discriminant-analysis-with-feature-selection-for-high-dimensional-data-1807.01422</loc><lastmod>2018-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diagonal-discriminant-analysis-with-feature-selection-for-high-dimensional-data-1807.01422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diagonal-discriminant-analysis-with-feature-selection-for-high-dimensional-data-1807.01422"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-sparse-deviations-for-compressed-sensing-using-generative-models-1807.01442</loc><lastmod>2018-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-sparse-deviations-for-compressed-sensing-using-generative-models-1807.01442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-sparse-deviations-for-compressed-sensing-using-generative-models-1807.01442"/></url>
<url><loc>https://scifaro.com/en/abs/generating-synthetic-but-plausible-healthcare-record-datasets-1807.01514</loc><lastmod>2018-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-synthetic-but-plausible-healthcare-record-datasets-1807.01514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-synthetic-but-plausible-healthcare-record-datasets-1807.01514"/></url>
<url><loc>https://scifaro.com/en/abs/quasi-monte-carlo-variational-inference-1807.01604</loc><lastmod>2018-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quasi-monte-carlo-variational-inference-1807.01604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quasi-monte-carlo-variational-inference-1807.01604"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-accelerating-particle-based-variational-inference-1807.01750</loc><lastmod>2019-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-accelerating-particle-based-variational-inference-1807.01750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-accelerating-particle-based-variational-inference-1807.01750"/></url>
<url><loc>https://scifaro.com/en/abs/learning-theory-and-algorithms-for-revenue-management-in-sponsored-search-1807.01827</loc><lastmod>2018-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-theory-and-algorithms-for-revenue-management-in-sponsored-search-1807.01827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-theory-and-algorithms-for-revenue-management-in-sponsored-search-1807.01827"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bayesian-dropout-pitfalls-and-fixes-1807.01969</loc><lastmod>2018-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayesian-dropout-pitfalls-and-fixes-1807.01969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayesian-dropout-pitfalls-and-fixes-1807.01969"/></url>
<url><loc>https://scifaro.com/en/abs/linear-bandits-with-stochastic-delayed-feedback-1807.02089</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-bandits-with-stochastic-delayed-feedback-1807.02089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-bandits-with-stochastic-delayed-feedback-1807.02089"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-gaussian-processes-with-grid-structured-eigenfunctions-gp-grief-1807.02125</loc><lastmod>2018-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-gaussian-processes-with-grid-structured-eigenfunctions-gp-grief-1807.02125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-gaussian-processes-with-grid-structured-eigenfunctions-gp-grief-1807.02125"/></url>
<url><loc>https://scifaro.com/en/abs/outperforming-good-turing-preliminary-report-1807.02287</loc><lastmod>2018-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outperforming-good-turing-preliminary-report-1807.02287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outperforming-good-turing-preliminary-report-1807.02287"/></url>
<url><loc>https://scifaro.com/en/abs/cause-effect-deep-information-bottleneck-for-systematically-missing-covariates-1807.02326</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cause-effect-deep-information-bottleneck-for-systematically-missing-covariates-1807.02326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cause-effect-deep-information-bottleneck-for-systematically-missing-covariates-1807.02326"/></url>
<url><loc>https://scifaro.com/en/abs/a-structured-prediction-approach-for-label-ranking-1807.02374</loc><lastmod>2018-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-structured-prediction-approach-for-label-ranking-1807.02374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-structured-prediction-approach-for-label-ranking-1807.02374"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-learning-with-incomplete-data-for-healthcare-1807.02442</loc><lastmod>2018-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-learning-with-incomplete-data-for-healthcare-1807.02442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-learning-with-incomplete-data-for-healthcare-1807.02442"/></url>
<url><loc>https://scifaro.com/en/abs/fully-scalable-gaussian-processes-using-subspace-inducing-inputs-1807.02537</loc><lastmod>2018-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-scalable-gaussian-processes-using-subspace-inducing-inputs-1807.02537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-scalable-gaussian-processes-using-subspace-inducing-inputs-1807.02537"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-processes-and-kernel-methods-a-review-on-connections-and-equivalences-1807.02582</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-processes-and-kernel-methods-a-review-on-connections-and-equivalences-1807.02582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-processes-and-kernel-methods-a-review-on-connections-and-equivalences-1807.02582"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-leave-one-out-for-fast-parameter-tuning-in-high-dimensions-1807.02694</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-leave-one-out-for-fast-parameter-tuning-in-high-dimensions-1807.02694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-leave-one-out-for-fast-parameter-tuning-in-high-dimensions-1807.02694"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-based-geological-parameterization-for-history-matching-complex-models-1807.02716</loc><lastmod>2018-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-based-geological-parameterization-for-history-matching-complex-models-1807.02716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-based-geological-parameterization-for-history-matching-complex-models-1807.02716"/></url>
<url><loc>https://scifaro.com/en/abs/a-tutorial-on-bayesian-optimization-1807.02811</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tutorial-on-bayesian-optimization-1807.02811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tutorial-on-bayesian-optimization-1807.02811"/></url>
<url><loc>https://scifaro.com/en/abs/auto-deep-compression-by-reinforcement-learning-based-actor-critic-structure-1807.02886</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auto-deep-compression-by-reinforcement-learning-based-actor-critic-structure-1807.02886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auto-deep-compression-by-reinforcement-learning-based-actor-critic-structure-1807.02886"/></url>
<url><loc>https://scifaro.com/en/abs/zero-shot-domain-adaptation-without-domain-semantic-descriptors-1807.02927</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-shot-domain-adaptation-without-domain-semantic-descriptors-1807.02927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-shot-domain-adaptation-without-domain-semantic-descriptors-1807.02927"/></url>
<url><loc>https://scifaro.com/en/abs/constraint-based-causal-discovery-for-non-linear-structural-causal-models-with-cycles-and-latent-confounders-1807.03024</loc><lastmod>2022-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constraint-based-causal-discovery-for-non-linear-structural-causal-models-with-cycles-and-latent-confounders-1807.03024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constraint-based-causal-discovery-for-non-linear-structural-causal-models-with-cycles-and-latent-confounders-1807.03024"/></url>
<url><loc>https://scifaro.com/en/abs/glow-generative-flow-with-invertible-1x1-convolutions-1807.03039</loc><lastmod>2018-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/glow-generative-flow-with-invertible-1x1-convolutions-1807.03039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/glow-generative-flow-with-invertible-1x1-convolutions-1807.03039"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-and-inference-for-beta-neutral-to-the-left-models-of-sparse-networks-1807.03113</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-and-inference-for-beta-neutral-to-the-left-models-of-sparse-networks-1807.03113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-and-inference-for-beta-neutral-to-the-left-models-of-sparse-networks-1807.03113"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-disease-trajectories-in-alzheimer-s-disease-using-deep-learning-1807.03159</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-disease-trajectories-in-alzheimer-s-disease-using-deep-learning-1807.03159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-disease-trajectories-in-alzheimer-s-disease-using-deep-learning-1807.03159"/></url>
<url><loc>https://scifaro.com/en/abs/troubling-trends-in-machine-learning-scholarship-1807.03341</loc><lastmod>2018-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/troubling-trends-in-machine-learning-scholarship-1807.03341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/troubling-trends-in-machine-learning-scholarship-1807.03341"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-kalman-filtering-for-online-gaussian-process-regression-and-learning-1807.03369</loc><lastmod>2018-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-kalman-filtering-for-online-gaussian-process-regression-and-learning-1807.03369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-kalman-filtering-for-online-gaussian-process-regression-and-learning-1807.03369"/></url>
<url><loc>https://scifaro.com/en/abs/process-monitoring-using-maximum-sequence-divergence-1807.03387</loc><lastmod>2018-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/process-monitoring-using-maximum-sequence-divergence-1807.03387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/process-monitoring-using-maximum-sequence-divergence-1807.03387"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-property-damage-from-tornadoes-with-zero-inflated-neural-networks-1807.03456</loc><lastmod>2019-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-property-damage-from-tornadoes-with-zero-inflated-neural-networks-1807.03456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-property-damage-from-tornadoes-with-zero-inflated-neural-networks-1807.03456"/></url>
<url><loc>https://scifaro.com/en/abs/dual-optimization-for-convex-constrained-objectives-without-the-gradient-lipschitz-assumption-1807.03545</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-optimization-for-convex-constrained-objectives-without-the-gradient-lipschitz-assumption-1807.03545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-optimization-for-convex-constrained-objectives-without-the-gradient-lipschitz-assumption-1807.03545"/></url>
<url><loc>https://scifaro.com/en/abs/small-variance-asymptotics-for-nonparametric-bayesian-overlapping-stochastic-blockmodels-1807.03570</loc><lastmod>2018-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/small-variance-asymptotics-for-nonparametric-bayesian-overlapping-stochastic-blockmodels-1807.03570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/small-variance-asymptotics-for-nonparametric-bayesian-overlapping-stochastic-blockmodels-1807.03570"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-vaes-in-fisher-shannon-plane-1807.03723</loc><lastmod>2018-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-vaes-in-fisher-shannon-plane-1807.03723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-vaes-in-fisher-shannon-plane-1807.03723"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-sparse-subspace-clustering-via-ordered-weighted-ell-1-regression-1807.03746</loc><lastmod>2018-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-sparse-subspace-clustering-via-ordered-weighted-ell-1-regression-1807.03746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-sparse-subspace-clustering-via-ordered-weighted-ell-1-regression-1807.03746"/></url>
<url><loc>https://scifaro.com/en/abs/latent-alignment-and-variational-attention-1807.03756</loc><lastmod>2018-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-alignment-and-variational-attention-1807.03756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-alignment-and-variational-attention-1807.03756"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-gradient-boosting-1807.03873</loc><lastmod>2018-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-gradient-boosting-1807.03873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-gradient-boosting-1807.03873"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-unified-framework-for-detecting-out-of-distribution-samples-and-adversarial-attacks-1807.03888</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-unified-framework-for-detecting-out-of-distribution-samples-and-adversarial-attacks-1807.03888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-unified-framework-for-detecting-out-of-distribution-samples-and-adversarial-attacks-1807.03888"/></url>
<url><loc>https://scifaro.com/en/abs/quantification-under-prior-probability-shift-the-ratio-estimator-and-its-extensions-1807.03929</loc><lastmod>2019-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantification-under-prior-probability-shift-the-ratio-estimator-and-its-extensions-1807.03929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantification-under-prior-probability-shift-the-ratio-estimator-and-its-extensions-1807.03929"/></url>
<url><loc>https://scifaro.com/en/abs/proactive-intervention-to-downtrend-employee-attrition-using-artificial-intelligence-techniques-1807.04081</loc><lastmod>2018-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proactive-intervention-to-downtrend-employee-attrition-using-artificial-intelligence-techniques-1807.04081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proactive-intervention-to-downtrend-employee-attrition-using-artificial-intelligence-techniques-1807.04081"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-over-continuous-and-multi-dimensional-decisions-with-observational-data-1807.04183</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-over-continuous-and-multi-dimensional-decisions-with-observational-data-1807.04183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-over-continuous-and-multi-dimensional-decisions-with-observational-data-1807.04183"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-variational-representation-learning-1807.04193</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-variational-representation-learning-1807.04193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-variational-representation-learning-1807.04193"/></url>
<url><loc>https://scifaro.com/en/abs/structured-bayesian-gaussian-process-latent-variable-model-applications-to-data-driven-dimensionality-reduction-and-high-dimensional-inversion-1807.04302</loc><lastmod>2019-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-bayesian-gaussian-process-latent-variable-model-applications-to-data-driven-dimensionality-reduction-and-high-dimensional-inversion-1807.04302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-bayesian-gaussian-process-latent-variable-model-applications-to-data-driven-dimensionality-reduction-and-high-dimensional-inversion-1807.04302"/></url>
<url><loc>https://scifaro.com/en/abs/process-discovery-using-classification-tree-hidden-semi-markov-model-1807.04415</loc><lastmod>2018-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/process-discovery-using-classification-tree-hidden-semi-markov-model-1807.04415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/process-discovery-using-classification-tree-hidden-semi-markov-model-1807.04415"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneous-coherent-structure-coloring-facilitates-interpretable-clustering-of-scientific-data-by-amplifying-dissimilarity-1807.04427</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneous-coherent-structure-coloring-facilitates-interpretable-clustering-of-scientific-data-by-amplifying-dissimilarity-1807.04427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneous-coherent-structure-coloring-facilitates-interpretable-clustering-of-scientific-data-by-amplifying-dissimilarity-1807.04427"/></url>
<url><loc>https://scifaro.com/en/abs/fast-yet-simple-natural-gradient-descent-for-variational-inference-in-complex-models-1807.04489</loc><lastmod>2018-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-yet-simple-natural-gradient-descent-for-variational-inference-in-complex-models-1807.04489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-yet-simple-natural-gradient-descent-for-variational-inference-in-complex-models-1807.04489"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-clustering-on-compressed-data-without-prior-knowledge-of-the-number-of-clusters-1807.04566</loc><lastmod>2018-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-clustering-on-compressed-data-without-prior-knowledge-of-the-number-of-clusters-1807.04566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-clustering-on-compressed-data-without-prior-knowledge-of-the-number-of-clusters-1807.04566"/></url>
<url><loc>https://scifaro.com/en/abs/rule-induction-partitioning-estimator-1807.04602</loc><lastmod>2018-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rule-induction-partitioning-estimator-1807.04602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rule-induction-partitioning-estimator-1807.04602"/></url>
<url><loc>https://scifaro.com/en/abs/explorations-in-homeomorphic-variational-auto-encoding-1807.04689</loc><lastmod>2018-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explorations-in-homeomorphic-variational-auto-encoding-1807.04689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explorations-in-homeomorphic-variational-auto-encoding-1807.04689"/></url>
<url><loc>https://scifaro.com/en/abs/dp-gp-lvm-a-bayesian-non-parametric-model-for-learning-multivariate-dependency-structures-1807.04833</loc><lastmod>2018-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dp-gp-lvm-a-bayesian-non-parametric-model-for-learning-multivariate-dependency-structures-1807.04833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dp-gp-lvm-a-bayesian-non-parametric-model-for-learning-multivariate-dependency-structures-1807.04833"/></url>
<url><loc>https://scifaro.com/en/abs/avoiding-latent-variable-collapse-with-generative-skip-models-1807.04863</loc><lastmod>2019-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/avoiding-latent-variable-collapse-with-generative-skip-models-1807.04863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/avoiding-latent-variable-collapse-with-generative-skip-models-1807.04863"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-sampling-of-gaussian-process-latent-variable-models-1807.04932</loc><lastmod>2018-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-sampling-of-gaussian-process-latent-variable-models-1807.04932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-sampling-of-gaussian-process-latent-variable-models-1807.04932"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-relation-between-the-sharpest-directions-of-dnn-loss-and-the-sgd-step-length-1807.05031</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-relation-between-the-sharpest-directions-of-dnn-loss-and-the-sgd-step-length-1807.05031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-relation-between-the-sharpest-directions-of-dnn-loss-and-the-sgd-step-length-1807.05031"/></url>
<url><loc>https://scifaro.com/en/abs/maximizing-invariant-data-perturbation-with-stochastic-optimization-1807.05077</loc><lastmod>2018-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximizing-invariant-data-perturbation-with-stochastic-optimization-1807.05077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximizing-invariant-data-perturbation-with-stochastic-optimization-1807.05077"/></url>
<url><loc>https://scifaro.com/en/abs/model-reconstruction-from-model-explanations-1807.05185</loc><lastmod>2018-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-reconstruction-from-model-explanations-1807.05185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-reconstruction-from-model-explanations-1807.05185"/></url>
<url><loc>https://scifaro.com/en/abs/parametric-generation-of-conditional-geological-realizations-using-generative-neural-networks-1807.05207</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parametric-generation-of-conditional-geological-realizations-using-generative-neural-networks-1807.05207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parametric-generation-of-conditional-geological-realizations-using-generative-neural-networks-1807.05207"/></url>
<url><loc>https://scifaro.com/en/abs/adversarially-learned-mixture-model-1807.05344</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarially-learned-mixture-model-1807.05344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarially-learned-mixture-model-1807.05344"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-for-sparse-relaxed-regularized-regression-sr3-1807.05411</loc><lastmod>2018-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-for-sparse-relaxed-regularized-regression-sr3-1807.05411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-for-sparse-relaxed-regularized-regression-sr3-1807.05411"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-structured-sparse-regression-with-hierarchical-gaussian-process-priors-1807.05561</loc><lastmod>2018-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-structured-sparse-regression-with-hierarchical-gaussian-process-priors-1807.05561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-structured-sparse-regression-with-hierarchical-gaussian-process-priors-1807.05561"/></url>
<url><loc>https://scifaro.com/en/abs/learning-stochastic-differential-equations-with-gaussian-processes-without-gradient-matching-1807.05748</loc><lastmod>2018-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-stochastic-differential-equations-with-gaussian-processes-without-gradient-matching-1807.05748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-stochastic-differential-equations-with-gaussian-processes-without-gradient-matching-1807.05748"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-with-membership-privacy-using-adversarial-regularization-1807.05852</loc><lastmod>2018-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-with-membership-privacy-using-adversarial-regularization-1807.05852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-with-membership-privacy-using-adversarial-regularization-1807.05852"/></url>
<url><loc>https://scifaro.com/en/abs/novel-feature-based-clustering-of-micro-panel-data-clump-1807.05926</loc><lastmod>2018-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/novel-feature-based-clustering-of-micro-panel-data-clump-1807.05926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/novel-feature-based-clustering-of-micro-panel-data-clump-1807.05926"/></url>
<url><loc>https://scifaro.com/en/abs/longitudinal-detection-of-radiological-abnormalities-with-time-modulated-lstm-1807.06144</loc><lastmod>2018-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/longitudinal-detection-of-radiological-abnormalities-with-time-modulated-lstm-1807.06144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/longitudinal-detection-of-radiological-abnormalities-with-time-modulated-lstm-1807.06144"/></url>
<url><loc>https://scifaro.com/en/abs/a-discriminative-approach-to-bayesian-filtering-with-applications-to-human-neural-decoding-1807.06173</loc><lastmod>2022-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-discriminative-approach-to-bayesian-filtering-with-applications-to-human-neural-decoding-1807.06173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-discriminative-approach-to-bayesian-filtering-with-applications-to-human-neural-decoding-1807.06173"/></url>
<url><loc>https://scifaro.com/en/abs/knockoffs-for-the-mass-new-feature-importance-statistics-with-false-discovery-guarantees-1807.06214</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knockoffs-for-the-mass-new-feature-importance-statistics-with-false-discovery-guarantees-1807.06214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knockoffs-for-the-mass-new-feature-importance-statistics-with-false-discovery-guarantees-1807.06214"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-sgd-and-random-features-1807.06343</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-sgd-and-random-features-1807.06343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-sgd-and-random-features-1807.06343"/></url>
<url><loc>https://scifaro.com/en/abs/confidence-intervals-for-testing-disparate-impact-in-fair-learning-1807.06362</loc><lastmod>2018-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidence-intervals-for-testing-disparate-impact-in-fair-learning-1807.06362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidence-intervals-for-testing-disparate-impact-in-fair-learning-1807.06362"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-assortment-optimization-with-logit-choice-probabilities-under-incomplete-information-1807.06497</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-assortment-optimization-with-logit-choice-probabilities-under-incomplete-information-1807.06497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-assortment-optimization-with-logit-choice-probabilities-under-incomplete-information-1807.06497"/></url>
<url><loc>https://scifaro.com/en/abs/an-acceleration-scheme-for-memory-limited-streaming-pca-1807.06530</loc><lastmod>2018-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-acceleration-scheme-for-memory-limited-streaming-pca-1807.06530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-acceleration-scheme-for-memory-limited-streaming-pca-1807.06530"/></url>
<url><loc>https://scifaro.com/en/abs/explicating-feature-contribution-using-random-forest-proximity-distances-1807.06572</loc><lastmod>2018-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explicating-feature-contribution-using-random-forest-proximity-distances-1807.06572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explicating-feature-contribution-using-random-forest-proximity-distances-1807.06572"/></url>
<url><loc>https://scifaro.com/en/abs/item-recommendation-with-variational-autoencoders-and-heterogenous-priors-1807.06651</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/item-recommendation-with-variational-autoencoders-and-heterogenous-priors-1807.06651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/item-recommendation-with-variational-autoencoders-and-heterogenous-priors-1807.06651"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-stationary-gaussian-process-for-flexible-non-stationary-modeling-of-spatial-outcomes-1807.06656</loc><lastmod>2018-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-stationary-gaussian-process-for-flexible-non-stationary-modeling-of-spatial-outcomes-1807.06656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-stationary-gaussian-process-for-flexible-non-stationary-modeling-of-spatial-outcomes-1807.06656"/></url>
<url><loc>https://scifaro.com/en/abs/receiver-operating-characteristic-curves-and-confidence-bands-for-support-vector-machines-1807.06711</loc><lastmod>2018-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/receiver-operating-characteristic-curves-and-confidence-bands-for-support-vector-machines-1807.06711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/receiver-operating-characteristic-curves-and-confidence-bands-for-support-vector-machines-1807.06711"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-gaussian-process-metamodels-and-sequential-designs-for-noisy-level-set-estimation-1807.06712</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-gaussian-process-metamodels-and-sequential-designs-for-noisy-level-set-estimation-1807.06712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-gaussian-process-metamodels-and-sequential-designs-for-noisy-level-set-estimation-1807.06712"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-interaction-effects-between-prediction-and-clustering-1807.06713</loc><lastmod>2019-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-interaction-effects-between-prediction-and-clustering-1807.06713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-interaction-effects-between-prediction-and-clustering-1807.06713"/></url>
<url><loc>https://scifaro.com/en/abs/a-probabilistic-theory-of-supervised-similarity-learning-for-pointwise-roc-curve-optimization-1807.06981</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probabilistic-theory-of-supervised-similarity-learning-for-pointwise-roc-curve-optimization-1807.06981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probabilistic-theory-of-supervised-similarity-learning-for-pointwise-roc-curve-optimization-1807.06981"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-training-on-very-large-corpora-via-gramian-estimation-1807.07187</loc><lastmod>2018-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-training-on-very-large-corpora-via-gramian-estimation-1807.07187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-training-on-very-large-corpora-via-gramian-estimation-1807.07187"/></url>
<url><loc>https://scifaro.com/en/abs/a-projection-pursuit-forest-algorithm-for-supervised-classification-1807.07207</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-projection-pursuit-forest-algorithm-for-supervised-classification-1807.07207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-projection-pursuit-forest-algorithm-for-supervised-classification-1807.07207"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-classifiers-do-not-improve-the-prediction-of-academic-risk-evidence-from-australia-1807.07215</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-classifiers-do-not-improve-the-prediction-of-academic-risk-evidence-from-australia-1807.07215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-classifiers-do-not-improve-the-prediction-of-academic-risk-evidence-from-australia-1807.07215"/></url>
<url><loc>https://scifaro.com/en/abs/emulating-malware-authors-for-proactive-protection-using-gans-over-a-distributed-image-visualization-of-dynamic-file-behavior-1807.07525</loc><lastmod>2018-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emulating-malware-authors-for-proactive-protection-using-gans-over-a-distributed-image-visualization-of-dynamic-file-behavior-1807.07525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emulating-malware-authors-for-proactive-protection-using-gans-over-a-distributed-image-visualization-of-dynamic-file-behavior-1807.07525"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-filtering-unifies-adaptive-and-non-adaptive-neural-network-optimization-methods-1807.07540</loc><lastmod>2020-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-filtering-unifies-adaptive-and-non-adaptive-neural-network-optimization-methods-1807.07540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-filtering-unifies-adaptive-and-non-adaptive-neural-network-optimization-methods-1807.07540"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-collapsed-gibbs-clustering-with-expectation-propagation-1807.07621</loc><lastmod>2018-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-collapsed-gibbs-clustering-with-expectation-propagation-1807.07621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-collapsed-gibbs-clustering-with-expectation-propagation-1807.07621"/></url>
<url><loc>https://scifaro.com/en/abs/automatically-designing-cnn-architectures-for-medical-image-segmentation-1807.07663</loc><lastmod>2018-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatically-designing-cnn-architectures-for-medical-image-segmentation-1807.07663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatically-designing-cnn-architectures-for-medical-image-segmentation-1807.07663"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-effect-of-latent-variables-in-gaussian-graphical-models-with-unobserved-variables-1807.07754</loc><lastmod>2018-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-effect-of-latent-variables-in-gaussian-graphical-models-with-unobserved-variables-1807.07754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-effect-of-latent-variables-in-gaussian-graphical-models-with-unobserved-variables-1807.07754"/></url>
<url><loc>https://scifaro.com/en/abs/escaping-the-curse-of-dimensionality-in-similarity-learning-efficient-frank-wolfe-algorithm-and-generalization-bounds-1807.07789</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/escaping-the-curse-of-dimensionality-in-similarity-learning-efficient-frank-wolfe-algorithm-and-generalization-bounds-1807.07789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/escaping-the-curse-of-dimensionality-in-similarity-learning-efficient-frank-wolfe-algorithm-and-generalization-bounds-1807.07789"/></url>
<url><loc>https://scifaro.com/en/abs/the-deep-kernelized-autoencoder-1807.07868</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-deep-kernelized-autoencoder-1807.07868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-deep-kernelized-autoencoder-1807.07868"/></url>
<url><loc>https://scifaro.com/en/abs/semi-generative-modelling-covariate-shift-adaptation-with-cause-and-effect-features-1807.07879</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-generative-modelling-covariate-shift-adaptation-with-cause-and-effect-features-1807.07879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-generative-modelling-covariate-shift-adaptation-with-cause-and-effect-features-1807.07879"/></url>
<url><loc>https://scifaro.com/en/abs/prior-convictions-black-box-adversarial-attacks-with-bandits-and-priors-1807.07978</loc><lastmod>2019-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prior-convictions-black-box-adversarial-attacks-with-bandits-and-priors-1807.07978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prior-convictions-black-box-adversarial-attacks-with-bandits-and-priors-1807.07978"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-1807.07987</loc><lastmod>2018-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-1807.07987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-1807.07987"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-principled-working-set-algorithm-for-exploiting-piecewise-linear-structure-in-convex-problems-1807.08046</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-principled-working-set-algorithm-for-exploiting-piecewise-linear-structure-in-convex-problems-1807.08046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-principled-working-set-algorithm-for-exploiting-piecewise-linear-structure-in-convex-problems-1807.08046"/></url>
<url><loc>https://scifaro.com/en/abs/paloboost-an-overfitting-robust-treeboost-with-out-of-bag-sample-regularization-techniques-1807.08383</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/paloboost-an-overfitting-robust-treeboost-with-out-of-bag-sample-regularization-techniques-1807.08383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/paloboost-an-overfitting-robust-treeboost-with-out-of-bag-sample-regularization-techniques-1807.08383"/></url>
<url><loc>https://scifaro.com/en/abs/weak-in-the-nees-auto-tuning-kalman-filters-with-bayesian-optimization-1807.08855</loc><lastmod>2018-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weak-in-the-nees-auto-tuning-kalman-filters-with-bayesian-optimization-1807.08855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weak-in-the-nees-auto-tuning-kalman-filters-with-bayesian-optimization-1807.08855"/></url>
<url><loc>https://scifaro.com/en/abs/space-time-extension-of-the-mem-approach-for-electromagnetic-neuroimaging-1807.08959</loc><lastmod>2018-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/space-time-extension-of-the-mem-approach-for-electromagnetic-neuroimaging-1807.08959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/space-time-extension-of-the-mem-approach-for-electromagnetic-neuroimaging-1807.08959"/></url>
<url><loc>https://scifaro.com/en/abs/collective-matrix-completion-1807.09010</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collective-matrix-completion-1807.09010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collective-matrix-completion-1807.09010"/></url>
<url><loc>https://scifaro.com/en/abs/decision-variance-in-online-learning-1807.09089</loc><lastmod>2019-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decision-variance-in-online-learning-1807.09089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decision-variance-in-online-learning-1807.09089"/></url>
<url><loc>https://scifaro.com/en/abs/improving-pairwise-comparison-models-using-empirical-bayes-shrinkage-1807.09236</loc><lastmod>2018-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-pairwise-comparison-models-using-empirical-bayes-shrinkage-1807.09236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-pairwise-comparison-models-using-empirical-bayes-shrinkage-1807.09236"/></url>
<url><loc>https://scifaro.com/en/abs/noise-contrastive-priors-for-functional-uncertainty-1807.09289</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-contrastive-priors-for-functional-uncertainty-1807.09289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-contrastive-priors-for-functional-uncertainty-1807.09289"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-bayesian-density-analysis-1807.09306</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-bayesian-density-analysis-1807.09306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-bayesian-density-analysis-1807.09306"/></url>
<url><loc>https://scifaro.com/en/abs/topics-in-random-matrices-and-statistical-machine-learning-1807.09419</loc><lastmod>2018-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topics-in-random-matrices-and-statistical-machine-learning-1807.09419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topics-in-random-matrices-and-statistical-machine-learning-1807.09419"/></url>
<url><loc>https://scifaro.com/en/abs/propensity-score-estimation-using-classification-and-regression-trees-in-the-presence-of-missing-covariate-data-1807.09462</loc><lastmod>2018-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/propensity-score-estimation-using-classification-and-regression-trees-in-the-presence-of-missing-covariate-data-1807.09462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/propensity-score-estimation-using-classification-and-regression-trees-in-the-presence-of-missing-covariate-data-1807.09462"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-detection-networks-in-mimo-decode-forward-relay-channels-1807.09571</loc><lastmod>2018-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-detection-networks-in-mimo-decode-forward-relay-channels-1807.09571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-detection-networks-in-mimo-decode-forward-relay-channels-1807.09571"/></url>
<url><loc>https://scifaro.com/en/abs/binacox-automatic-cut-point-detection-in-high-dimensional-cox-model-with-applications-in-genetics-1807.09813</loc><lastmod>2020-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binacox-automatic-cut-point-detection-in-high-dimensional-cox-model-with-applications-in-genetics-1807.09813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binacox-automatic-cut-point-detection-in-high-dimensional-cox-model-with-applications-in-genetics-1807.09813"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-methods-for-early-readmission-prediction-in-a-high-dimensional-heterogeneous-covariates-and-time-to-event-outcome-framework-1807.09821</loc><lastmod>2018-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-methods-for-early-readmission-prediction-in-a-high-dimensional-heterogeneous-covariates-and-time-to-event-outcome-framework-1807.09821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-methods-for-early-readmission-prediction-in-a-high-dimensional-heterogeneous-covariates-and-time-to-event-outcome-framework-1807.09821"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-and-understanding-the-robustness-of-adversarial-logit-pairing-1807.10272</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-and-understanding-the-robustness-of-adversarial-logit-pairing-1807.10272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-and-understanding-the-robustness-of-adversarial-logit-pairing-1807.10272"/></url>
<url><loc>https://scifaro.com/en/abs/selective-clustering-annotated-using-modes-of-projections-1807.10328</loc><lastmod>2018-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selective-clustering-annotated-using-modes-of-projections-1807.10328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selective-clustering-annotated-using-modes-of-projections-1807.10328"/></url>
<url><loc>https://scifaro.com/en/abs/applications-of-common-entropy-for-causal-inference-1807.10399</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applications-of-common-entropy-for-causal-inference-1807.10399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applications-of-common-entropy-for-causal-inference-1807.10399"/></url>
<url><loc>https://scifaro.com/en/abs/learning-low-dimensional-word-based-linear-classifiers-using-data-shared-adaptive-bootstrap-aggregated-lasso-with-application-to-imdb-data-1807.10623</loc><lastmod>2018-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-low-dimensional-word-based-linear-classifiers-using-data-shared-adaptive-bootstrap-aggregated-lasso-with-application-to-imdb-data-1807.10623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-low-dimensional-word-based-linear-classifiers-using-data-shared-adaptive-bootstrap-aggregated-lasso-with-application-to-imdb-data-1807.10623"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-deep-learning-from-raw-sensor-data-atrial-fibrillation-detection-using-wearables-1807.10707</loc><lastmod>2018-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-deep-learning-from-raw-sensor-data-atrial-fibrillation-detection-using-wearables-1807.10707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-deep-learning-from-raw-sensor-data-atrial-fibrillation-detection-using-wearables-1807.10707"/></url>
<url><loc>https://scifaro.com/en/abs/tensorfuzz-debugging-neural-networks-with-coverage-guided-fuzzing-1807.10875</loc><lastmod>2018-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensorfuzz-debugging-neural-networks-with-coverage-guided-fuzzing-1807.10875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensorfuzz-debugging-neural-networks-with-coverage-guided-fuzzing-1807.10875"/></url>
<url><loc>https://scifaro.com/en/abs/group-sparse-svd-models-and-their-applications-in-biological-data-1807.10956</loc><lastmod>2018-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-sparse-svd-models-and-their-applications-in-biological-data-1807.10956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-sparse-svd-models-and-their-applications-in-biological-data-1807.10956"/></url>
<url><loc>https://scifaro.com/en/abs/consistent-polynomial-time-unseeded-graph-matching-for-lipschitz-graphons-1807.11027</loc><lastmod>2018-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-polynomial-time-unseeded-graph-matching-for-lipschitz-graphons-1807.11027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-polynomial-time-unseeded-graph-matching-for-lipschitz-graphons-1807.11027"/></url>
<url><loc>https://scifaro.com/en/abs/arm-augment-reinforce-merge-gradient-for-stochastic-binary-networks-1807.11143</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/arm-augment-reinforce-merge-gradient-for-stochastic-binary-networks-1807.11143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/arm-augment-reinforce-merge-gradient-for-stochastic-binary-networks-1807.11143"/></url>
<url><loc>https://scifaro.com/en/abs/weakly-supervised-deep-learning-of-heat-transport-via-physics-informed-loss-1807.11374</loc><lastmod>2018-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weakly-supervised-deep-learning-of-heat-transport-via-physics-informed-loss-1807.11374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weakly-supervised-deep-learning-of-heat-transport-via-physics-informed-loss-1807.11374"/></url>
<url><loc>https://scifaro.com/en/abs/local-linear-forests-1807.11408</loc><lastmod>2020-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-linear-forests-1807.11408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-linear-forests-1807.11408"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-multi-task-gaussian-process-tensor-regression-for-normative-modeling-of-structured-variation-in-neuroimaging-data-1808.00036</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-multi-task-gaussian-process-tensor-regression-for-normative-modeling-of-structured-variation-in-neuroimaging-data-1808.00036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-multi-task-gaussian-process-tensor-regression-for-normative-modeling-of-structured-variation-in-neuroimaging-data-1808.00036"/></url>
<url><loc>https://scifaro.com/en/abs/a-theory-of-dichotomous-valuation-with-applications-to-variable-selection-1808.00131</loc><lastmod>2020-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theory-of-dichotomous-valuation-with-applications-to-variable-selection-1808.00131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theory-of-dichotomous-valuation-with-applications-to-variable-selection-1808.00131"/></url>
<url><loc>https://scifaro.com/en/abs/robbins-monro-conditions-for-persistent-exploration-learning-strategies-1808.00245</loc><lastmod>2018-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robbins-monro-conditions-for-persistent-exploration-learning-strategies-1808.00245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robbins-monro-conditions-for-persistent-exploration-learning-strategies-1808.00245"/></url>
<url><loc>https://scifaro.com/en/abs/a-differentially-private-kernel-two-sample-test-1808.00380</loc><lastmod>2018-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-differentially-private-kernel-two-sample-test-1808.00380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-differentially-private-kernel-two-sample-test-1808.00380"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-completion-and-extrapolation-via-kernel-regression-1808.00441</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-completion-and-extrapolation-via-kernel-regression-1808.00441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-completion-and-extrapolation-via-kernel-regression-1808.00441"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-achievability-of-blind-source-separation-for-high-dimensional-nonlinear-source-mixtures-1808.00668</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-achievability-of-blind-source-separation-for-high-dimensional-nonlinear-source-mixtures-1808.00668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-achievability-of-blind-source-separation-for-high-dimensional-nonlinear-source-mixtures-1808.00668"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-bayesian-inference-of-sigmoidal-gaussian-cox-processes-1808.00831</loc><lastmod>2019-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-bayesian-inference-of-sigmoidal-gaussian-cox-processes-1808.00831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-bayesian-inference-of-sigmoidal-gaussian-cox-processes-1808.00831"/></url>
<url><loc>https://scifaro.com/en/abs/semi-blind-source-separation-with-multichannel-variational-autoencoder-1808.00892</loc><lastmod>2018-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-blind-source-separation-with-multichannel-variational-autoencoder-1808.00892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-blind-source-separation-with-multichannel-variational-autoencoder-1808.00892"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-parameters-through-inverse-multiobjective-optimization-1808.00935</loc><lastmod>2018-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-parameters-through-inverse-multiobjective-optimization-1808.00935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-parameters-through-inverse-multiobjective-optimization-1808.00935"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-free-inference-with-an-improved-cross-entropy-estimator-1808.00973</loc><lastmod>2018-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-free-inference-with-an-improved-cross-entropy-estimator-1808.00973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-free-inference-with-an-improved-cross-entropy-estimator-1808.00973"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-scoring-rules-to-learn-additive-bayesian-network-applied-to-epidemiology-1808.01126</loc><lastmod>2018-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-scoring-rules-to-learn-additive-bayesian-network-applied-to-epidemiology-1808.01126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-scoring-rules-to-learn-additive-bayesian-network-applied-to-epidemiology-1808.01126"/></url>
<url><loc>https://scifaro.com/en/abs/multi-objective-cognitive-model-a-supervised-approach-for-multi-subject-fmri-analysis-1808.01642</loc><lastmod>2018-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-objective-cognitive-model-a-supervised-approach-for-multi-subject-fmri-analysis-1808.01642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-objective-cognitive-model-a-supervised-approach-for-multi-subject-fmri-analysis-1808.01642"/></url>
<url><loc>https://scifaro.com/en/abs/v-fcnn-volumetric-fully-convolution-neural-network-for-automatic-atrial-segmentation-1808.01944</loc><lastmod>2018-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/v-fcnn-volumetric-fully-convolution-neural-network-for-automatic-atrial-segmentation-1808.01944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/v-fcnn-volumetric-fully-convolution-neural-network-for-automatic-atrial-segmentation-1808.01944"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-based-on-data-uncertainty-and-model-sensitivity-1808.02026</loc><lastmod>2018-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-based-on-data-uncertainty-and-model-sensitivity-1808.02026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-based-on-data-uncertainty-and-model-sensitivity-1808.02026"/></url>
<url><loc>https://scifaro.com/en/abs/semblance-a-rank-based-kernel-on-probability-spaces-for-niche-detection-1808.02061</loc><lastmod>2019-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semblance-a-rank-based-kernel-on-probability-spaces-for-niche-detection-1808.02061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semblance-a-rank-based-kernel-on-probability-spaces-for-niche-detection-1808.02061"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-implicit-variational-inference-1808.02078</loc><lastmod>2019-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-implicit-variational-inference-1808.02078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-implicit-variational-inference-1808.02078"/></url>
<url><loc>https://scifaro.com/en/abs/importance-of-the-mathematical-foundations-of-machine-learning-methods-for-scientific-and-engineering-applications-1808.02213</loc><lastmod>2023-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-of-the-mathematical-foundations-of-machine-learning-methods-for-scientific-and-engineering-applications-1808.02213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-of-the-mathematical-foundations-of-machine-learning-methods-for-scientific-and-engineering-applications-1808.02213"/></url>
<url><loc>https://scifaro.com/en/abs/deepathology-deep-multi-task-learning-for-inferring-molecular-pathology-from-cancer-transcriptome-1808.02237</loc><lastmod>2019-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepathology-deep-multi-task-learning-for-inferring-molecular-pathology-from-cancer-transcriptome-1808.02237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepathology-deep-multi-task-learning-for-inferring-molecular-pathology-from-cancer-transcriptome-1808.02237"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-topology-design-approach-using-an-integrated-deep-learning-network-architecture-1808.02334</loc><lastmod>2019-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-topology-design-approach-using-an-integrated-deep-learning-network-architecture-1808.02334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-topology-design-approach-using-an-integrated-deep-learning-network-architecture-1808.02334"/></url>
<url><loc>https://scifaro.com/en/abs/robust-implicit-backpropagation-1808.02433</loc><lastmod>2018-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-implicit-backpropagation-1808.02433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-implicit-backpropagation-1808.02433"/></url>
<url><loc>https://scifaro.com/en/abs/message-passing-graph-kernels-1808.02510</loc><lastmod>2018-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/message-passing-graph-kernels-1808.02510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/message-passing-graph-kernels-1808.02510"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-gaussian-mixture-models-for-the-multi-armed-bandit-1808.02932</loc><lastmod>2022-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-gaussian-mixture-models-for-the-multi-armed-bandit-1808.02932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-gaussian-mixture-models-for-the-multi-armed-bandit-1808.02932"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-monte-carlo-bandits-1808.02933</loc><lastmod>2024-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-monte-carlo-bandits-1808.02933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-monte-carlo-bandits-1808.02933"/></url>
<url><loc>https://scifaro.com/en/abs/compressed-sensing-using-binary-matrices-of-nearly-optimal-dimensions-1808.03001</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressed-sensing-using-binary-matrices-of-nearly-optimal-dimensions-1808.03001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressed-sensing-using-binary-matrices-of-nearly-optimal-dimensions-1808.03001"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-and-newton-boosting-for-classification-and-regression-1808.03064</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-and-newton-boosting-for-classification-and-regression-1808.03064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-and-newton-boosting-for-classification-and-regression-1808.03064"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-polynomial-chaos-expansion-for-machine-learning-regression-1808.03216</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-polynomial-chaos-expansion-for-machine-learning-regression-1808.03216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-polynomial-chaos-expansion-for-machine-learning-regression-1808.03216"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-normalization-proactively-addressing-dataset-shift-and-improving-reliability-using-causal-mechanisms-1808.03253</loc><lastmod>2018-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-normalization-proactively-addressing-dataset-shift-and-improving-reliability-using-causal-mechanisms-1808.03253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-normalization-proactively-addressing-dataset-shift-and-improving-reliability-using-causal-mechanisms-1808.03253"/></url>
<url><loc>https://scifaro.com/en/abs/the-effectiveness-of-multitask-learning-for-phenotyping-with-electronic-health-records-data-1808.03331</loc><lastmod>2019-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-effectiveness-of-multitask-learning-for-phenotyping-with-electronic-health-records-data-1808.03331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-effectiveness-of-multitask-learning-for-phenotyping-with-electronic-health-records-data-1808.03331"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-structure-for-fast-kernel-learning-1808.03351</loc><lastmod>2018-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-structure-for-fast-kernel-learning-1808.03351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-structure-for-fast-kernel-learning-1808.03351"/></url>
<url><loc>https://scifaro.com/en/abs/boost-boosting-smooth-trees-for-partial-effect-estimation-in-nonlinear-regressions-1808.03698</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boost-boosting-smooth-trees-for-partial-effect-estimation-in-nonlinear-regressions-1808.03698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boost-boosting-smooth-trees-for-partial-effect-estimation-in-nonlinear-regressions-1808.03698"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-flows-from-learning-kernels-from-data-into-the-abyss-1808.04475</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-flows-from-learning-kernels-from-data-into-the-abyss-1808.04475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-flows-from-learning-kernels-from-data-into-the-abyss-1808.04475"/></url>
<url><loc>https://scifaro.com/en/abs/learning-relu-networks-on-linearly-separable-data-algorithm-optimality-and-generalization-1808.04685</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-relu-networks-on-linearly-separable-data-algorithm-optimality-and-generalization-1808.04685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-relu-networks-on-linearly-separable-data-algorithm-optimality-and-generalization-1808.04685"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-the-influences-on-probabilistic-wind-power-forecasts-1808.04750</loc><lastmod>2024-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-the-influences-on-probabilistic-wind-power-forecasts-1808.04750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-the-influences-on-probabilistic-wind-power-forecasts-1808.04750"/></url>
<url><loc>https://scifaro.com/en/abs/a-precision-environment-wide-association-study-of-hypertension-via-supervised-cadre-models-1808.04880</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-precision-environment-wide-association-study-of-hypertension-via-supervised-cadre-models-1808.04880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-precision-environment-wide-association-study-of-hypertension-via-supervised-cadre-models-1808.04880"/></url>
<url><loc>https://scifaro.com/en/abs/skill-rating-for-generative-models-1808.04888</loc><lastmod>2018-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/skill-rating-for-generative-models-1808.04888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/skill-rating-for-generative-models-1808.04888"/></url>
<url><loc>https://scifaro.com/en/abs/collapse-of-deep-and-narrow-neural-nets-1808.04947</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collapse-of-deep-and-narrow-neural-nets-1808.04947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collapse-of-deep-and-narrow-neural-nets-1808.04947"/></url>
<url><loc>https://scifaro.com/en/abs/acvae-vc-non-parallel-many-to-many-voice-conversion-with-auxiliary-classifier-variational-autoencoder-1808.05092</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/acvae-vc-non-parallel-many-to-many-voice-conversion-with-auxiliary-classifier-variational-autoencoder-1808.05092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/acvae-vc-non-parallel-many-to-many-voice-conversion-with-auxiliary-classifier-variational-autoencoder-1808.05092"/></url>
<url><loc>https://scifaro.com/en/abs/neural-architecture-search-a-survey-1808.05377</loc><lastmod>2019-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-architecture-search-a-survey-1808.05377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-architecture-search-a-survey-1808.05377"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-empirical-bayes-with-reversible-jump-markov-chain-in-user-movie-recommendation-system-1808.05480</loc><lastmod>2018-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-empirical-bayes-with-reversible-jump-markov-chain-in-user-movie-recommendation-system-1808.05480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-empirical-bayes-with-reversible-jump-markov-chain-in-user-movie-recommendation-system-1808.05480"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-energy-markets-1808.05527</loc><lastmod>2019-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-energy-markets-1808.05527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-energy-markets-1808.05527"/></url>
<url><loc>https://scifaro.com/en/abs/combining-time-series-and-textual-data-for-taxi-demand-prediction-in-event-areas-a-deep-learning-approach-1808.05535</loc><lastmod>2018-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-time-series-and-textual-data-for-taxi-demand-prediction-in-event-areas-a-deep-learning-approach-1808.05535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-time-series-and-textual-data-for-taxi-demand-prediction-in-event-areas-a-deep-learning-approach-1808.05535"/></url>
<url><loc>https://scifaro.com/en/abs/deep-convolutional-networks-as-shallow-gaussian-processes-1808.05587</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-convolutional-networks-as-shallow-gaussian-processes-1808.05587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-convolutional-networks-as-shallow-gaussian-processes-1808.05587"/></url>
<url><loc>https://scifaro.com/en/abs/an-n-time-slice-dynamic-chain-event-graph-1808.05726</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-n-time-slice-dynamic-chain-event-graph-1808.05726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-n-time-slice-dynamic-chain-event-graph-1808.05726"/></url>
<url><loc>https://scifaro.com/en/abs/multiview-boosting-by-controlling-the-diversity-and-the-accuracy-of-view-specific-voters-1808.05784</loc><lastmod>2018-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiview-boosting-by-controlling-the-diversity-and-the-accuracy-of-view-specific-voters-1808.05784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiview-boosting-by-controlling-the-diversity-and-the-accuracy-of-view-specific-voters-1808.05784"/></url>
<url><loc>https://scifaro.com/en/abs/learning-supervised-topic-models-for-classification-and-regression-from-crowds-1808.05902</loc><lastmod>2018-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-supervised-topic-models-for-classification-and-regression-from-crowds-1808.05902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-supervised-topic-models-for-classification-and-regression-from-crowds-1808.05902"/></url>
<url><loc>https://scifaro.com/en/abs/correlated-multi-armed-bandits-with-a-latent-random-source-1808.05904</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlated-multi-armed-bandits-with-a-latent-random-source-1808.05904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlated-multi-armed-bandits-with-a-latent-random-source-1808.05904"/></url>
<url><loc>https://scifaro.com/en/abs/a-bagging-and-importance-sampling-approach-to-support-vector-machines-1808.05917</loc><lastmod>2018-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bagging-and-importance-sampling-approach-to-support-vector-machines-1808.05917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bagging-and-importance-sampling-approach-to-support-vector-machines-1808.05917"/></url>
<url><loc>https://scifaro.com/en/abs/a-projector-based-approach-to-quantifying-total-and-excess-uncertainties-for-sketched-linear-regression-1808.05924</loc><lastmod>2020-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-projector-based-approach-to-quantifying-total-and-excess-uncertainties-for-sketched-linear-regression-1808.05924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-projector-based-approach-to-quantifying-total-and-excess-uncertainties-for-sketched-linear-regression-1808.05924"/></url>
<url><loc>https://scifaro.com/en/abs/applying-machine-learning-to-maize-traits-prediction-1808.06275</loc><lastmod>2020-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applying-machine-learning-to-maize-traits-prediction-1808.06275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applying-machine-learning-to-maize-traits-prediction-1808.06275"/></url>
<url><loc>https://scifaro.com/en/abs/causal-discovery-by-telling-apart-parents-and-children-1808.06356</loc><lastmod>2018-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-discovery-by-telling-apart-parents-and-children-1808.06356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-discovery-by-telling-apart-parents-and-children-1808.06356"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-graph-embedding-using-randomized-shortest-paths-1808.06560</loc><lastmod>2018-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-graph-embedding-using-randomized-shortest-paths-1808.06560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-graph-embedding-using-randomized-shortest-paths-1808.06560"/></url>
<url><loc>https://scifaro.com/en/abs/out-of-distribution-detection-using-multiple-semantic-label-representations-1808.06664</loc><lastmod>2019-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/out-of-distribution-detection-using-multiple-semantic-label-representations-1808.06664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/out-of-distribution-detection-using-multiple-semantic-label-representations-1808.06664"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-representations-by-mutual-information-estimation-and-maximization-1808.06670</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-representations-by-mutual-information-estimation-and-maximization-1808.06670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-representations-by-mutual-information-estimation-and-maximization-1808.06670"/></url>
<url><loc>https://scifaro.com/en/abs/use-of-vapnik-chervonenkis-dimension-in-model-selection-1808.06684</loc><lastmod>2018-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/use-of-vapnik-chervonenkis-dimension-in-model-selection-1808.06684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/use-of-vapnik-chervonenkis-dimension-in-model-selection-1808.06684"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-population-synthesis-with-deep-generative-modeling-1808.06910</loc><lastmod>2019-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-population-synthesis-with-deep-generative-modeling-1808.06910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-population-synthesis-with-deep-generative-modeling-1808.06910"/></url>
<url><loc>https://scifaro.com/en/abs/on-a-new-improvement-based-acquisition-function-for-bayesian-optimization-1808.06918</loc><lastmod>2018-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-a-new-improvement-based-acquisition-function-for-bayesian-optimization-1808.06918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-a-new-improvement-based-acquisition-function-for-bayesian-optimization-1808.06918"/></url>
<url><loc>https://scifaro.com/en/abs/model-interpretation-a-unified-derivative-based-framework-for-nonparametric-regression-and-supervised-machine-learning-1808.07216</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-interpretation-a-unified-derivative-based-framework-for-nonparametric-regression-and-supervised-machine-learning-1808.07216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-interpretation-a-unified-derivative-based-framework-for-nonparametric-regression-and-supervised-machine-learning-1808.07216"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-network-lasso-for-semi-supervised-regression-1808.07249</loc><lastmod>2018-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-network-lasso-for-semi-supervised-regression-1808.07249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-network-lasso-for-semi-supervised-regression-1808.07249"/></url>
<url><loc>https://scifaro.com/en/abs/genie-an-open-box-counterfactual-policy-estimator-for-optimizing-sponsored-search-marketplace-1808.07251</loc><lastmod>2018-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/genie-an-open-box-counterfactual-policy-estimator-for-optimizing-sponsored-search-marketplace-1808.07251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/genie-an-open-box-counterfactual-policy-estimator-for-optimizing-sponsored-search-marketplace-1808.07251"/></url>
<url><loc>https://scifaro.com/en/abs/xpca-extending-pca-for-a-combination-of-discrete-and-continuous-variables-1808.07510</loc><lastmod>2018-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/xpca-extending-pca-for-a-combination-of-discrete-and-continuous-variables-1808.07510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/xpca-extending-pca-for-a-combination-of-discrete-and-continuous-variables-1808.07510"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-trees-statistical-stability-in-model-distillation-1808.07573</loc><lastmod>2018-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-trees-statistical-stability-in-model-distillation-1808.07573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-trees-statistical-stability-in-model-distillation-1808.07573"/></url>
<url><loc>https://scifaro.com/en/abs/caveats-for-information-bottleneck-in-deterministic-scenarios-1808.07593</loc><lastmod>2022-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/caveats-for-information-bottleneck-in-deterministic-scenarios-1808.07593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/caveats-for-information-bottleneck-in-deterministic-scenarios-1808.07593"/></url>
<url><loc>https://scifaro.com/en/abs/topology-and-prediction-focused-research-on-graph-convolutional-neural-networks-1808.07769</loc><lastmod>2018-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topology-and-prediction-focused-research-on-graph-convolutional-neural-networks-1808.07769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topology-and-prediction-focused-research-on-graph-convolutional-neural-networks-1808.07769"/></url>
<url><loc>https://scifaro.com/en/abs/on-a-two-truths-phenomenon-in-spectral-graph-clustering-1808.07801</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-a-two-truths-phenomenon-in-spectral-graph-clustering-1808.07801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-a-two-truths-phenomenon-in-spectral-graph-clustering-1808.07801"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-for-estimating-causal-effects-using-neural-networks-1808.07804</loc><lastmod>2018-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-for-estimating-causal-effects-using-neural-networks-1808.07804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-for-estimating-causal-effects-using-neural-networks-1808.07804"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-noise-contrastive-estimation-from-the-perspective-of-asymptotic-variance-1808.07983</loc><lastmod>2018-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-noise-contrastive-estimation-from-the-perspective-of-asymptotic-variance-1808.07983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-noise-contrastive-estimation-from-the-perspective-of-asymptotic-variance-1808.07983"/></url>
<url><loc>https://scifaro.com/en/abs/to-cluster-or-not-to-cluster-an-analysis-of-clusterability-methods-1808.08317</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/to-cluster-or-not-to-cluster-an-analysis-of-clusterability-methods-1808.08317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/to-cluster-or-not-to-cluster-an-analysis-of-clusterability-methods-1808.08317"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-wise-co-clustering-for-high-dimensional-data-1808.08366</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-wise-co-clustering-for-high-dimensional-data-1808.08366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-wise-co-clustering-for-high-dimensional-data-1808.08366"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-nonparametric-inference-with-two-scale-distributional-nearest-neighbors-1808.08469</loc><lastmod>2022-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-nonparametric-inference-with-two-scale-distributional-nearest-neighbors-1808.08469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-nonparametric-inference-with-two-scale-distributional-nearest-neighbors-1808.08469"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-pruning-compressing-deep-neural-networks-via-spectral-analysis-and-its-generalization-error-1808.08558</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-pruning-compressing-deep-neural-networks-via-spectral-analysis-and-its-generalization-error-1808.08558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-pruning-compressing-deep-neural-networks-via-spectral-analysis-and-its-generalization-error-1808.08558"/></url>
<url><loc>https://scifaro.com/en/abs/identifiability-of-complete-dictionary-learning-1808.08765</loc><lastmod>2019-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifiability-of-complete-dictionary-learning-1808.08765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifiability-of-complete-dictionary-learning-1808.08765"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-expectation-deep-joint-mean-and-quantile-regression-for-spatio-temporal-problems-1808.08798</loc><lastmod>2018-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-expectation-deep-joint-mean-and-quantile-regression-for-spatio-temporal-problems-1808.08798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-expectation-deep-joint-mean-and-quantile-regression-for-spatio-temporal-problems-1808.08798"/></url>
<url><loc>https://scifaro.com/en/abs/exponential-inequalities-for-nonstationary-markov-chains-1808.08811</loc><lastmod>2020-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-inequalities-for-nonstationary-markov-chains-1808.08811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-inequalities-for-nonstationary-markov-chains-1808.08811"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-feature-learning-of-online-monitoring-data-for-operational-risk-assessment-in-distribution-networks-1808.09050</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-feature-learning-of-online-monitoring-data-for-operational-risk-assessment-in-distribution-networks-1808.09050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-feature-learning-of-online-monitoring-data-for-operational-risk-assessment-in-distribution-networks-1808.09050"/></url>
<url><loc>https://scifaro.com/en/abs/high-confidence-error-estimates-for-learned-value-functions-1808.09127</loc><lastmod>2018-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-confidence-error-estimates-for-learned-value-functions-1808.09127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-confidence-error-estimates-for-learned-value-functions-1808.09127"/></url>
<url><loc>https://scifaro.com/en/abs/a-particle-filter-based-multi-objective-optimization-algorithm-pfops-1808.09446</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-particle-filter-based-multi-objective-optimization-algorithm-pfops-1808.09446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-particle-filter-based-multi-objective-optimization-algorithm-pfops-1808.09446"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-rate-of-krasulina-estimator-1808.09489</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-rate-of-krasulina-estimator-1808.09489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-rate-of-krasulina-estimator-1808.09489"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-sparse-subspace-clustering-using-delayed-association-1808.09574</loc><lastmod>2018-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-sparse-subspace-clustering-using-delayed-association-1808.09574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-sparse-subspace-clustering-using-delayed-association-1808.09574"/></url>
<url><loc>https://scifaro.com/en/abs/online-ica-understanding-global-dynamics-of-nonconvex-optimization-via-diffusion-processes-1808.09642</loc><lastmod>2018-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-ica-understanding-global-dynamics-of-nonconvex-optimization-via-diffusion-processes-1808.09642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-ica-understanding-global-dynamics-of-nonconvex-optimization-via-diffusion-processes-1808.09642"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-approximations-for-online-principal-component-estimation-and-global-convergence-1808.09645</loc><lastmod>2018-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-approximations-for-online-principal-component-estimation-and-global-convergence-1808.09645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-approximations-for-online-principal-component-estimation-and-global-convergence-1808.09645"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-irregular-spatial-patterns-using-graph-convolutional-neural-networks-1808.09802</loc><lastmod>2018-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-irregular-spatial-patterns-using-graph-convolutional-neural-networks-1808.09802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-irregular-spatial-patterns-using-graph-convolutional-neural-networks-1808.09802"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-machine-learning-in-rock-facies-classification-with-physics-motivated-feature-augmentation-1808.09856</loc><lastmod>2018-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-machine-learning-in-rock-facies-classification-with-physics-motivated-feature-augmentation-1808.09856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-machine-learning-in-rock-facies-classification-with-physics-motivated-feature-augmentation-1808.09856"/></url>
<url><loc>https://scifaro.com/en/abs/extreme-value-theory-for-open-set-classification-gpd-and-gev-classifiers-1808.09902</loc><lastmod>2019-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extreme-value-theory-for-open-set-classification-gpd-and-gev-classifiers-1808.09902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extreme-value-theory-for-open-set-classification-gpd-and-gev-classifiers-1808.09902"/></url>
<url><loc>https://scifaro.com/en/abs/physically-inspired-gaussian-process-models-for-post-transcriptional-regulation-in-drosophila-1808.10026</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physically-inspired-gaussian-process-models-for-post-transcriptional-regulation-in-drosophila-1808.10026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physically-inspired-gaussian-process-models-for-post-transcriptional-regulation-in-drosophila-1808.10026"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-learning-of-similarity-and-group-equivariant-representations-1808.10078</loc><lastmod>2022-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-learning-of-similarity-and-group-equivariant-representations-1808.10078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-learning-of-similarity-and-group-equivariant-representations-1808.10078"/></url>
<url><loc>https://scifaro.com/en/abs/nested-multi-instance-classification-1808.10430</loc><lastmod>2018-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nested-multi-instance-classification-1808.10430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nested-multi-instance-classification-1808.10430"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-mode-decomposition-in-vector-valued-reproducing-kernel-hilbert-spaces-for-extracting-dynamical-structure-among-observables-1808.10551</loc><lastmod>2022-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-mode-decomposition-in-vector-valued-reproducing-kernel-hilbert-spaces-for-extracting-dynamical-structure-among-observables-1808.10551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-mode-decomposition-in-vector-valued-reproducing-kernel-hilbert-spaces-for-extracting-dynamical-structure-among-observables-1808.10551"/></url>
<url><loc>https://scifaro.com/en/abs/speaker-fluency-level-classification-using-machine-learning-techniques-1808.10556</loc><lastmod>2018-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/speaker-fluency-level-classification-using-machine-learning-techniques-1808.10556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/speaker-fluency-level-classification-using-machine-learning-techniques-1808.10556"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-minimal-supervision-for-training-any-binary-classifier-from-only-unlabeled-data-1808.10585</loc><lastmod>2019-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-minimal-supervision-for-training-any-binary-classifier-from-only-unlabeled-data-1808.10585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-minimal-supervision-for-training-any-binary-classifier-from-only-unlabeled-data-1808.10585"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-discovery-of-pdes-in-complex-datasets-1808.10788</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-discovery-of-pdes-in-complex-datasets-1808.10788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-discovery-of-pdes-in-complex-datasets-1808.10788"/></url>
<url><loc>https://scifaro.com/en/abs/neu-a-meta-algorithm-for-universal-uap-invariant-feature-representation-1809.00082</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neu-a-meta-algorithm-for-universal-uap-invariant-feature-representation-1809.00082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neu-a-meta-algorithm-for-universal-uap-invariant-feature-representation-1809.00082"/></url>
<url><loc>https://scifaro.com/en/abs/hyperparameter-learning-for-conditional-kernel-mean-embeddings-with-rademacher-complexity-bounds-1809.00175</loc><lastmod>2018-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperparameter-learning-for-conditional-kernel-mean-embeddings-with-rademacher-complexity-bounds-1809.00175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperparameter-learning-for-conditional-kernel-mean-embeddings-with-rademacher-complexity-bounds-1809.00175"/></url>
<url><loc>https://scifaro.com/en/abs/lipschitz-networks-and-distributional-robustness-1809.01129</loc><lastmod>2018-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lipschitz-networks-and-distributional-robustness-1809.01129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lipschitz-networks-and-distributional-robustness-1809.01129"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-particle-optimization-sampling-and-the-non-asymptotic-convergence-theory-1809.01293</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-particle-optimization-sampling-and-the-non-asymptotic-convergence-theory-1809.01293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-particle-optimization-sampling-and-the-non-asymptotic-convergence-theory-1809.01293"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-optimality-of-the-hedge-algorithm-in-the-stochastic-regime-1809.01382</loc><lastmod>2019-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-optimality-of-the-hedge-algorithm-in-the-stochastic-regime-1809.01382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-optimality-of-the-hedge-algorithm-in-the-stochastic-regime-1809.01382"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-integrated-classifier-design-based-on-utility-optimization-1809.01571</loc><lastmod>2018-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-integrated-classifier-design-based-on-utility-optimization-1809.01571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-integrated-classifier-design-based-on-utility-optimization-1809.01571"/></url>
<url><loc>https://scifaro.com/en/abs/gene-shaving-using-influence-function-of-a-kernel-method-1809.01625</loc><lastmod>2018-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gene-shaving-using-influence-function-of-a-kernel-method-1809.01625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gene-shaving-using-influence-function-of-a-kernel-method-1809.01625"/></url>
<url><loc>https://scifaro.com/en/abs/a-limitation-of-v-matrix-based-methods-1809.01706</loc><lastmod>2018-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-limitation-of-v-matrix-based-methods-1809.01706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-limitation-of-v-matrix-based-methods-1809.01706"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-smoking-events-with-a-time-varying-semi-parametric-hawkes-process-model-1809.01740</loc><lastmod>2018-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-smoking-events-with-a-time-varying-semi-parametric-hawkes-process-model-1809.01740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-smoking-events-with-a-time-varying-semi-parametric-hawkes-process-model-1809.01740"/></url>
<url><loc>https://scifaro.com/en/abs/online-adaptive-image-reconstruction-onair-using-dictionary-models-1809.01817</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-adaptive-image-reconstruction-onair-using-dictionary-models-1809.01817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-adaptive-image-reconstruction-onair-using-dictionary-models-1809.01817"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-soft-label-propagation-on-hypergraphs-algorithm-and-generalization-error-bounds-1809.01833</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-soft-label-propagation-on-hypergraphs-algorithm-and-generalization-error-bounds-1809.01833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-soft-label-propagation-on-hypergraphs-algorithm-and-generalization-error-bounds-1809.01833"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-regression-for-binned-data-1809.02010</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-regression-for-binned-data-1809.02010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-regression-for-binned-data-1809.02010"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bayesian-inference-for-robust-streaming-tensor-factorization-and-completion-1809.02153</loc><lastmod>2019-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayesian-inference-for-robust-streaming-tensor-factorization-and-completion-1809.02153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayesian-inference-for-robust-streaming-tensor-factorization-and-completion-1809.02153"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-learning-in-reproducing-kernel-krein-spaces-1809.02157</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-learning-in-reproducing-kernel-krein-spaces-1809.02157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-learning-in-reproducing-kernel-krein-spaces-1809.02157"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-nonparametric-spectral-estimation-1809.02196</loc><lastmod>2019-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-nonparametric-spectral-estimation-1809.02196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-nonparametric-spectral-estimation-1809.02196"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-hierarchical-empirical-bayes-a-predictive-model-applied-to-online-advertising-1809.02213</loc><lastmod>2018-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-hierarchical-empirical-bayes-a-predictive-model-applied-to-online-advertising-1809.02213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-hierarchical-empirical-bayes-a-predictive-model-applied-to-online-advertising-1809.02213"/></url>
<url><loc>https://scifaro.com/en/abs/a-bandit-approach-to-multiple-testing-with-false-discovery-control-1809.02235</loc><lastmod>2019-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bandit-approach-to-multiple-testing-with-false-discovery-control-1809.02235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bandit-approach-to-multiple-testing-with-false-discovery-control-1809.02235"/></url>
<url><loc>https://scifaro.com/en/abs/logistic-regression-augmented-community-detection-for-network-data-with-application-in-identifying-autism-related-gene-pathways-1809.02262</loc><lastmod>2018-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logistic-regression-augmented-community-detection-for-network-data-with-application-in-identifying-autism-related-gene-pathways-1809.02262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logistic-regression-augmented-community-detection-for-network-data-with-application-in-identifying-autism-related-gene-pathways-1809.02262"/></url>
<url><loc>https://scifaro.com/en/abs/multi-target-prediction-a-unifying-view-on-problems-and-methods-1809.02352</loc><lastmod>2018-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-target-prediction-a-unifying-view-on-problems-and-methods-1809.02352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-target-prediction-a-unifying-view-on-problems-and-methods-1809.02352"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-potential-local-adversarial-examples-for-human-interpretable-defense-1809.02397</loc><lastmod>2018-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-potential-local-adversarial-examples-for-human-interpretable-defense-1809.02397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-potential-local-adversarial-examples-for-human-interpretable-defense-1809.02397"/></url>
<url><loc>https://scifaro.com/en/abs/multi-level-hypothesis-testing-for-populations-of-heterogeneous-networks-1809.02512</loc><lastmod>2018-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-level-hypothesis-testing-for-populations-of-heterogeneous-networks-1809.02512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-level-hypothesis-testing-for-populations-of-heterogeneous-networks-1809.02512"/></url>
<url><loc>https://scifaro.com/en/abs/vos-a-method-for-variational-oversampling-of-imbalanced-data-1809.02596</loc><lastmod>2018-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vos-a-method-for-variational-oversampling-of-imbalanced-data-1809.02596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vos-a-method-for-variational-oversampling-of-imbalanced-data-1809.02596"/></url>
<url><loc>https://scifaro.com/en/abs/retgk-graph-kernels-based-on-return-probabilities-of-random-walks-1809.02670</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/retgk-graph-kernels-based-on-return-probabilities-of-random-walks-1809.02670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/retgk-graph-kernels-based-on-return-probabilities-of-random-walks-1809.02670"/></url>
<url><loc>https://scifaro.com/en/abs/towards-query-efficient-black-box-attacks-an-input-free-perspective-1809.02918</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-query-efficient-black-box-attacks-an-input-free-perspective-1809.02918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-query-efficient-black-box-attacks-an-input-free-perspective-1809.02918"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-elastic-demand-for-forecasting-1809.03018</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-elastic-demand-for-forecasting-1809.03018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-elastic-demand-for-forecasting-1809.03018"/></url>
<url><loc>https://scifaro.com/en/abs/an-iterative-method-for-classification-of-binary-data-1809.03041</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-iterative-method-for-classification-of-binary-data-1809.03041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-iterative-method-for-classification-of-binary-data-1809.03041"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-iterative-algorithms-for-fisher-discriminant-analysis-1809.03045</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-iterative-algorithms-for-fisher-discriminant-analysis-1809.03045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-iterative-algorithms-for-fisher-discriminant-analysis-1809.03045"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-and-estimation-for-high-dimensional-deep-learning-networks-1809.03090</loc><lastmod>2018-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-and-estimation-for-high-dimensional-deep-learning-networks-1809.03090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-and-estimation-for-high-dimensional-deep-learning-networks-1809.03090"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-inaccuracies-of-time-series-averaging-under-dynamic-time-warping-1809.03371</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-inaccuracies-of-time-series-averaging-under-dynamic-time-warping-1809.03371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-inaccuracies-of-time-series-averaging-under-dynamic-time-warping-1809.03371"/></url>
<url><loc>https://scifaro.com/en/abs/physics-information-aided-kriging-constructing-covariance-functions-using-stochastic-simulation-models-1809.03461</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-information-aided-kriging-constructing-covariance-functions-using-stochastic-simulation-models-1809.03461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-information-aided-kriging-constructing-covariance-functions-using-stochastic-simulation-models-1809.03461"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-admm-based-algorithm-to-nonconvex-penalized-support-vector-machines-1809.03655</loc><lastmod>2018-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-admm-based-algorithm-to-nonconvex-penalized-support-vector-machines-1809.03655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-admm-based-algorithm-to-nonconvex-penalized-support-vector-machines-1809.03655"/></url>
<url><loc>https://scifaro.com/en/abs/deep-interest-evolution-network-for-click-through-rate-prediction-1809.03672</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-interest-evolution-network-for-click-through-rate-prediction-1809.03672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-interest-evolution-network-for-click-through-rate-prediction-1809.03672"/></url>
<url><loc>https://scifaro.com/en/abs/learning-rate-adaptation-for-federated-and-differentially-private-learning-1809.03832</loc><lastmod>2020-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-rate-adaptation-for-federated-and-differentially-private-learning-1809.03832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-rate-adaptation-for-federated-and-differentially-private-learning-1809.03832"/></url>
<url><loc>https://scifaro.com/en/abs/change-point-detection-on-hierarchical-circadian-models-1809.04197</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/change-point-detection-on-hierarchical-circadian-models-1809.04197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/change-point-detection-on-hierarchical-circadian-models-1809.04197"/></url>
<url><loc>https://scifaro.com/en/abs/discretely-relaxing-continuous-variables-for-tractable-variational-inference-1809.04279</loc><lastmod>2019-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discretely-relaxing-continuous-variables-for-tractable-variational-inference-1809.04279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discretely-relaxing-continuous-variables-for-tractable-variational-inference-1809.04279"/></url>
<url><loc>https://scifaro.com/en/abs/cluster-variational-approximations-for-structure-learning-of-continuous-time-bayesian-networks-from-incomplete-data-1809.04294</loc><lastmod>2018-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cluster-variational-approximations-for-structure-learning-of-continuous-time-bayesian-networks-from-incomplete-data-1809.04294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cluster-variational-approximations-for-structure-learning-of-continuous-time-bayesian-networks-from-incomplete-data-1809.04294"/></url>
<url><loc>https://scifaro.com/en/abs/structured-and-unstructured-outlier-identification-for-robust-pca-a-non-iterative-parameter-free-algorithm-1809.04445</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-and-unstructured-outlier-identification-for-robust-pca-a-non-iterative-parameter-free-algorithm-1809.04445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-and-unstructured-outlier-identification-for-robust-pca-a-non-iterative-parameter-free-algorithm-1809.04445"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-structure-learning-by-recursive-bootstrap-1809.04828</loc><lastmod>2018-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-structure-learning-by-recursive-bootstrap-1809.04828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-structure-learning-by-recursive-bootstrap-1809.04828"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-variational-optimization-1809.04855</loc><lastmod>2018-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-variational-optimization-1809.04855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-variational-optimization-1809.04855"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-estimation-of-ergodic-markov-chain-kernel-over-discrete-state-space-1809.05014</loc><lastmod>2020-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-estimation-of-ergodic-markov-chain-kernel-over-discrete-state-space-1809.05014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-estimation-of-ergodic-markov-chain-kernel-over-discrete-state-space-1809.05014"/></url>
<url><loc>https://scifaro.com/en/abs/phd-dissertation-generalized-independent-components-analysis-over-finite-alphabets-1809.05043</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phd-dissertation-generalized-independent-components-analysis-over-finite-alphabets-1809.05043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phd-dissertation-generalized-independent-components-analysis-over-finite-alphabets-1809.05043"/></url>
<url><loc>https://scifaro.com/en/abs/msc-dissertation-exclusive-row-biclustering-for-gene-expression-using-a-combinatorial-auction-approach-1809.05077</loc><lastmod>2018-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/msc-dissertation-exclusive-row-biclustering-for-gene-expression-using-a-combinatorial-auction-approach-1809.05077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/msc-dissertation-exclusive-row-biclustering-for-gene-expression-using-a-combinatorial-auction-approach-1809.05077"/></url>
<url><loc>https://scifaro.com/en/abs/distinguishing-between-roles-of-football-players-in-play-by-play-match-event-data-1809.05173</loc><lastmod>2018-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distinguishing-between-roles-of-football-players-in-play-by-play-match-event-data-1809.05173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distinguishing-between-roles-of-football-players-in-play-by-play-match-event-data-1809.05173"/></url>
<url><loc>https://scifaro.com/en/abs/dueling-bandits-with-qualitative-feedback-1809.05274</loc><lastmod>2018-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dueling-bandits-with-qualitative-feedback-1809.05274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dueling-bandits-with-qualitative-feedback-1809.05274"/></url>
<url><loc>https://scifaro.com/en/abs/variational-autoencoder-with-implicit-optimal-priors-1809.05284</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-autoencoder-with-implicit-optimal-priors-1809.05284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-autoencoder-with-implicit-optimal-priors-1809.05284"/></url>
<url><loc>https://scifaro.com/en/abs/are-screening-methods-useful-in-feature-selection-an-empirical-study-1809.05465</loc><lastmod>2019-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-screening-methods-useful-in-feature-selection-an-empirical-study-1809.05465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-screening-methods-useful-in-feature-selection-an-empirical-study-1809.05465"/></url>
<url><loc>https://scifaro.com/en/abs/linear-independent-component-analysis-over-finite-fields-algorithms-and-bounds-1809.05815</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-independent-component-analysis-over-finite-fields-algorithms-and-bounds-1809.05815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-independent-component-analysis-over-finite-fields-algorithms-and-bounds-1809.05815"/></url>
<url><loc>https://scifaro.com/en/abs/solving-for-multi-class-a-survey-and-synthesis-1809.05929</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-for-multi-class-a-survey-and-synthesis-1809.05929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-for-multi-class-a-survey-and-synthesis-1809.05929"/></url>
<url><loc>https://scifaro.com/en/abs/a-convex-formulation-for-high-dimensional-sparse-sliced-inverse-regression-1809.06024</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convex-formulation-for-high-dimensional-sparse-sliced-inverse-regression-1809.06024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convex-formulation-for-high-dimensional-sparse-sliced-inverse-regression-1809.06024"/></url>
<url><loc>https://scifaro.com/en/abs/extracting-representations-of-cognition-across-neuroimaging-studies-improves-brain-decoding-1809.06035</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extracting-representations-of-cognition-across-neuroimaging-studies-improves-brain-decoding-1809.06035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extracting-representations-of-cognition-across-neuroimaging-studies-improves-brain-decoding-1809.06035"/></url>
<url><loc>https://scifaro.com/en/abs/building-prior-knowledge-a-markov-based-pedestrian-prediction-model-using-urban-environmental-data-1809.06045</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-prior-knowledge-a-markov-based-pedestrian-prediction-model-using-urban-environmental-data-1809.06045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-prior-knowledge-a-markov-based-pedestrian-prediction-model-using-urban-environmental-data-1809.06045"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-message-passing-for-convex-optimization-with-non-separable-penalties-1809.06304</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-message-passing-for-convex-optimization-with-non-separable-penalties-1809.06304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-message-passing-for-convex-optimization-with-non-separable-penalties-1809.06304"/></url>
<url><loc>https://scifaro.com/en/abs/actionable-recourse-in-linear-classification-1809.06514</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/actionable-recourse-in-linear-classification-1809.06514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/actionable-recourse-in-linear-classification-1809.06514"/></url>
<url><loc>https://scifaro.com/en/abs/model-protected-multi-task-learning-1809.06546</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-protected-multi-task-learning-1809.06546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-protected-multi-task-learning-1809.06546"/></url>
<url><loc>https://scifaro.com/en/abs/switching-isotropic-and-directional-exploration-with-parameter-space-noise-in-deep-reinforcement-learning-1809.06570</loc><lastmod>2018-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/switching-isotropic-and-directional-exploration-with-parameter-space-noise-in-deep-reinforcement-learning-1809.06570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/switching-isotropic-and-directional-exploration-with-parameter-space-noise-in-deep-reinforcement-learning-1809.06570"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-approach-for-inferring-local-causal-structure-in-gene-regulatory-networks-1809.06827</loc><lastmod>2018-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-approach-for-inferring-local-causal-structure-in-gene-regulatory-networks-1809.06827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-approach-for-inferring-local-causal-structure-in-gene-regulatory-networks-1809.06827"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-collective-variable-discovery-with-deep-bayesian-models-1809.06913</loc><lastmod>2019-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-collective-variable-discovery-with-deep-bayesian-models-1809.06913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-collective-variable-discovery-with-deep-bayesian-models-1809.06913"/></url>
<url><loc>https://scifaro.com/en/abs/positive-unlabeled-classification-under-class-prior-shift-and-asymmetric-error-1809.07011</loc><lastmod>2020-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/positive-unlabeled-classification-under-class-prior-shift-and-asymmetric-error-1809.07011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/positive-unlabeled-classification-under-class-prior-shift-and-asymmetric-error-1809.07011"/></url>
<url><loc>https://scifaro.com/en/abs/a-unifying-bayesian-approach-for-preterm-brain-age-prediction-that-models-eeg-sleep-transitions-over-age-1809.07102</loc><lastmod>2018-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unifying-bayesian-approach-for-preterm-brain-age-prediction-that-models-eeg-sleep-transitions-over-age-1809.07102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unifying-bayesian-approach-for-preterm-brain-age-prediction-that-models-eeg-sleep-transitions-over-age-1809.07102"/></url>
<url><loc>https://scifaro.com/en/abs/infossm-interpretable-unsupervised-learning-of-nonparametric-state-space-model-for-multi-modal-dynamics-1809.07109</loc><lastmod>2018-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infossm-interpretable-unsupervised-learning-of-nonparametric-state-space-model-for-multi-modal-dynamics-1809.07109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infossm-interpretable-unsupervised-learning-of-nonparametric-state-space-model-for-multi-modal-dynamics-1809.07109"/></url>
<url><loc>https://scifaro.com/en/abs/characterising-across-stack-optimisations-for-deep-convolutional-neural-networks-1809.07196</loc><lastmod>2018-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterising-across-stack-optimisations-for-deep-convolutional-neural-networks-1809.07196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterising-across-stack-optimisations-for-deep-convolutional-neural-networks-1809.07196"/></url>
<url><loc>https://scifaro.com/en/abs/noise-statistics-oblivious-gard-for-robust-regression-with-sparse-outliers-1809.07222</loc><lastmod>2018-12-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-statistics-oblivious-gard-for-robust-regression-with-sparse-outliers-1809.07222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-statistics-oblivious-gard-for-robust-regression-with-sparse-outliers-1809.07222"/></url>
<url><loc>https://scifaro.com/en/abs/exemplar-based-synthesis-of-geology-using-kernel-discrepancies-and-generative-neural-networks-1809.07748</loc><lastmod>2018-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exemplar-based-synthesis-of-geology-using-kernel-discrepancies-and-generative-neural-networks-1809.07748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exemplar-based-synthesis-of-geology-using-kernel-discrepancies-and-generative-neural-networks-1809.07748"/></url>
<url><loc>https://scifaro.com/en/abs/spline-based-probability-calibration-1809.07751</loc><lastmod>2018-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spline-based-probability-calibration-1809.07751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spline-based-probability-calibration-1809.07751"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-behavior-of-clinical-models-under-domain-shifts-1809.07806</loc><lastmod>2019-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-behavior-of-clinical-models-under-domain-shifts-1809.07806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-behavior-of-clinical-models-under-domain-shifts-1809.07806"/></url>
<url><loc>https://scifaro.com/en/abs/refining-coarse-grained-spatial-data-using-auxiliary-spatial-data-sets-with-various-granularities-1809.07952</loc><lastmod>2019-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/refining-coarse-grained-spatial-data-using-auxiliary-spatial-data-sets-with-various-granularities-1809.07952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/refining-coarse-grained-spatial-data-using-auxiliary-spatial-data-sets-with-various-granularities-1809.07952"/></url>
<url><loc>https://scifaro.com/en/abs/simulator-calibration-under-covariate-shift-with-kernels-1809.08159</loc><lastmod>2020-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulator-calibration-under-covariate-shift-with-kernels-1809.08159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulator-calibration-under-covariate-shift-with-kernels-1809.08159"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-irregular-spatial-data-with-machine-learning-classification-of-building-patterns-with-a-graph-convolutional-neural-network-1809.08196</loc><lastmod>2018-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-irregular-spatial-data-with-machine-learning-classification-of-building-patterns-with-a-graph-convolutional-neural-network-1809.08196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-irregular-spatial-data-with-machine-learning-classification-of-building-patterns-with-a-graph-convolutional-neural-network-1809.08196"/></url>
<url><loc>https://scifaro.com/en/abs/unrestricted-adversarial-examples-1809.08352</loc><lastmod>2018-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unrestricted-adversarial-examples-1809.08352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unrestricted-adversarial-examples-1809.08352"/></url>
<url><loc>https://scifaro.com/en/abs/coupled-graphs-and-tensor-factorization-for-recommender-systems-and-community-detection-1809.08353</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coupled-graphs-and-tensor-factorization-for-recommender-systems-and-community-detection-1809.08353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coupled-graphs-and-tensor-factorization-for-recommender-systems-and-community-detection-1809.08353"/></url>
<url><loc>https://scifaro.com/en/abs/a-kernel-embedding-based-approach-for-nonstationary-causal-model-inference-1809.08560</loc><lastmod>2018-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-kernel-embedding-based-approach-for-nonstationary-causal-model-inference-1809.08560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-kernel-embedding-based-approach-for-nonstationary-causal-model-inference-1809.08560"/></url>
<url><loc>https://scifaro.com/en/abs/identification-and-visualization-of-the-underlying-independent-causes-of-the-diagnostic-of-diabetic-retinopathy-made-by-a-deep-learning-classifier-1809.08567</loc><lastmod>2018-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identification-and-visualization-of-the-underlying-independent-causes-of-the-diagnostic-of-diabetic-retinopathy-made-by-a-deep-learning-classifier-1809.08567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identification-and-visualization-of-the-underlying-independent-causes-of-the-diagnostic-of-diabetic-retinopathy-made-by-a-deep-learning-classifier-1809.08567"/></url>
<url><loc>https://scifaro.com/en/abs/causal-inference-and-mechanism-clustering-of-a-mixture-of-additive-noise-models-1809.08568</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-inference-and-mechanism-clustering-of-a-mixture-of-additive-noise-models-1809.08568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-inference-and-mechanism-clustering-of-a-mixture-of-additive-noise-models-1809.08568"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-parameter-selection-for-denoising-with-the-elastic-net-1809.08696</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-parameter-selection-for-denoising-with-the-elastic-net-1809.08696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-parameter-selection-for-denoising-with-the-elastic-net-1809.08696"/></url>
<url><loc>https://scifaro.com/en/abs/is-ordered-weighted-ell-1-regularized-regression-robust-to-adversarial-perturbation-a-case-study-on-oscar-1809.08706</loc><lastmod>2018-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-ordered-weighted-ell-1-regularized-regression-robust-to-adversarial-perturbation-a-case-study-on-oscar-1809.08706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-ordered-weighted-ell-1-regularized-regression-robust-to-adversarial-perturbation-a-case-study-on-oscar-1809.08706"/></url>
<url><loc>https://scifaro.com/en/abs/unified-recurrent-neural-network-for-many-feature-types-1809.08717</loc><lastmod>2018-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unified-recurrent-neural-network-for-many-feature-types-1809.08717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unified-recurrent-neural-network-for-many-feature-types-1809.08717"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-inference-of-topic-evolution-via-models-for-latent-geometric-structures-1809.08738</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-inference-of-topic-evolution-via-models-for-latent-geometric-structures-1809.08738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-inference-of-topic-evolution-via-models-for-latent-geometric-structures-1809.08738"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-longitudinal-data-using-matrix-completion-1809.08771</loc><lastmod>2021-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-longitudinal-data-using-matrix-completion-1809.08771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-longitudinal-data-using-matrix-completion-1809.08771"/></url>
<url><loc>https://scifaro.com/en/abs/orthogonally-decoupled-variational-gaussian-processes-1809.08820</loc><lastmod>2019-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthogonally-decoupled-variational-gaussian-processes-1809.08820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthogonally-decoupled-variational-gaussian-processes-1809.08820"/></url>
<url><loc>https://scifaro.com/en/abs/dynamical-isometry-is-achieved-in-residual-networks-in-a-universal-way-for-any-activation-function-1809.08848</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamical-isometry-is-achieved-in-residual-networks-in-a-universal-way-for-any-activation-function-1809.08848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamical-isometry-is-achieved-in-residual-networks-in-a-universal-way-for-any-activation-function-1809.08848"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-with-structural-resistance-to-adversarial-attacks-1809.09262</loc><lastmod>2018-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-with-structural-resistance-to-adversarial-attacks-1809.09262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-with-structural-resistance-to-adversarial-attacks-1809.09262"/></url>
<url><loc>https://scifaro.com/en/abs/graph-filtering-for-data-reduction-and-reconstruction-1809.09266</loc><lastmod>2018-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-filtering-for-data-reduction-and-reconstruction-1809.09266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-filtering-for-data-reduction-and-reconstruction-1809.09266"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-group-bayesian-feature-selection-using-expectation-propagation-for-signal-recovery-and-network-reconstruction-1809.09367</loc><lastmod>2018-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-group-bayesian-feature-selection-using-expectation-propagation-for-signal-recovery-and-network-reconstruction-1809.09367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-group-bayesian-feature-selection-using-expectation-propagation-for-signal-recovery-and-network-reconstruction-1809.09367"/></url>
<url><loc>https://scifaro.com/en/abs/fast-automatic-smoothing-for-generalized-additive-models-1809.09445</loc><lastmod>2018-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-automatic-smoothing-for-generalized-additive-models-1809.09445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-automatic-smoothing-for-generalized-additive-models-1809.09445"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-approach-to-shipping-box-design-1809.10210</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-approach-to-shipping-box-design-1809.10210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-approach-to-shipping-box-design-1809.10210"/></url>
<url><loc>https://scifaro.com/en/abs/preconditioner-on-matrix-lie-group-for-sgd-1809.10232</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preconditioner-on-matrix-lie-group-for-sgd-1809.10232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preconditioner-on-matrix-lie-group-for-sgd-1809.10232"/></url>
<url><loc>https://scifaro.com/en/abs/variance-reduction-properties-of-the-reparameterization-trick-1809.10330</loc><lastmod>2018-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-reduction-properties-of-the-reparameterization-trick-1809.10330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-reduction-properties-of-the-reparameterization-trick-1809.10330"/></url>
<url><loc>https://scifaro.com/en/abs/deep-graph-infomax-1809.10341</loc><lastmod>2018-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-graph-infomax-1809.10341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-graph-infomax-1809.10341"/></url>
<url><loc>https://scifaro.com/en/abs/an-analytic-theory-of-generalization-dynamics-and-transfer-learning-in-deep-linear-networks-1809.10374</loc><lastmod>2019-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-analytic-theory-of-generalization-dynamics-and-transfer-learning-in-deep-linear-networks-1809.10374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-analytic-theory-of-generalization-dynamics-and-transfer-learning-in-deep-linear-networks-1809.10374"/></url>
<url><loc>https://scifaro.com/en/abs/budgeted-multi-objective-optimization-with-a-focus-on-the-central-part-of-the-pareto-front-extended-version-1809.10482</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/budgeted-multi-objective-optimization-with-a-focus-on-the-central-part-of-the-pareto-front-extended-version-1809.10482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/budgeted-multi-objective-optimization-with-a-focus-on-the-central-part-of-the-pareto-front-extended-version-1809.10482"/></url>
<url><loc>https://scifaro.com/en/abs/dataset-rare-event-classification-in-multivariate-time-series-1809.10717</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dataset-rare-event-classification-in-multivariate-time-series-1809.10717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dataset-rare-event-classification-in-multivariate-time-series-1809.10717"/></url>
<url><loc>https://scifaro.com/en/abs/an-introduction-to-probabilistic-programming-1809.10756</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-introduction-to-probabilistic-programming-1809.10756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-introduction-to-probabilistic-programming-1809.10756"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-gaussian-process-surrogates-for-bayesian-inference-1809.10784</loc><lastmod>2018-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-gaussian-process-surrogates-for-bayesian-inference-1809.10784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-gaussian-process-surrogates-for-bayesian-inference-1809.10784"/></url>
<url><loc>https://scifaro.com/en/abs/model-preserving-sensitivity-analysis-for-families-of-gaussian-distributions-1809.10794</loc><lastmod>2018-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-preserving-sensitivity-analysis-for-families-of-gaussian-distributions-1809.10794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-preserving-sensitivity-analysis-for-families-of-gaussian-distributions-1809.10794"/></url>
<url><loc>https://scifaro.com/en/abs/learning-confidence-sets-using-support-vector-machines-1809.10818</loc><lastmod>2018-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-confidence-sets-using-support-vector-machines-1809.10818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-confidence-sets-using-support-vector-machines-1809.10818"/></url>
<url><loc>https://scifaro.com/en/abs/fluctuation-dissipation-relations-for-stochastic-gradient-descent-1810.00004</loc><lastmod>2018-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fluctuation-dissipation-relations-for-stochastic-gradient-descent-1810.00004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fluctuation-dissipation-relations-for-stochastic-gradient-descent-1810.00004"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-generalization-gap-in-deep-networks-with-margin-distributions-1810.00113</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-generalization-gap-in-deep-networks-with-margin-distributions-1810.00113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-generalization-gap-in-deep-networks-with-margin-distributions-1810.00113"/></url>
<url><loc>https://scifaro.com/en/abs/improved-gradient-based-optimization-over-discrete-distributions-1810.00116</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-gradient-based-optimization-over-discrete-distributions-1810.00116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-gradient-based-optimization-over-discrete-distributions-1810.00116"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-multichannel-variational-autoencoder-for-underdetermined-source-separation-1810.00223</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-multichannel-variational-autoencoder-for-underdetermined-source-separation-1810.00223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-multichannel-variational-autoencoder-for-underdetermined-source-separation-1810.00223"/></url>
<url><loc>https://scifaro.com/en/abs/a-kernel-perspective-for-regularizing-deep-neural-networks-1810.00363</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-kernel-perspective-for-regularizing-deep-neural-networks-1810.00363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-kernel-perspective-for-regularizing-deep-neural-networks-1810.00363"/></url>
<url><loc>https://scifaro.com/en/abs/deep-quality-value-dqv-learning-1810.00368</loc><lastmod>2018-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-quality-value-dqv-learning-1810.00368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-quality-value-dqv-learning-1810.00368"/></url>
<url><loc>https://scifaro.com/en/abs/minimal-random-code-learning-getting-bits-back-from-compressed-model-parameters-1810.00440</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimal-random-code-learning-getting-bits-back-from-compressed-model-parameters-1810.00440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimal-random-code-learning-getting-bits-back-from-compressed-model-parameters-1810.00440"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-adaptive-and-accelerated-stochastic-gradient-descent-1810.00553</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-adaptive-and-accelerated-stochastic-gradient-descent-1810.00553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-adaptive-and-accelerated-stochastic-gradient-descent-1810.00553"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-meta-representations-of-neural-networks-1810.00555</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-meta-representations-of-neural-networks-1810.00555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-meta-representations-of-neural-networks-1810.00555"/></url>
<url><loc>https://scifaro.com/en/abs/taming-vaes-1810.00597</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taming-vaes-1810.00597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taming-vaes-1810.00597"/></url>
<url><loc>https://scifaro.com/en/abs/on-theory-for-bart-1810.00787</loc><lastmod>2018-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-theory-for-bart-1810.00787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-theory-for-bart-1810.00787"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-clustering-with-variational-em-for-gaussian-mixture-models-1810.00803</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-clustering-with-variational-em-for-gaussian-mixture-models-1810.00803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-clustering-with-variational-em-for-gaussian-mixture-models-1810.00803"/></url>
<url><loc>https://scifaro.com/en/abs/network-modeling-and-pathway-inference-from-incomplete-data-pathinf-1810.00839</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-modeling-and-pathway-inference-from-incomplete-data-pathinf-1810.00839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-modeling-and-pathway-inference-from-incomplete-data-pathinf-1810.00839"/></url>
<url><loc>https://scifaro.com/en/abs/robust-multivariate-and-functional-archetypal-analysis-with-application-to-financial-time-series-analysis-1810.00919</loc><lastmod>2018-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-multivariate-and-functional-archetypal-analysis-with-application-to-financial-time-series-analysis-1810.00919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-multivariate-and-functional-archetypal-analysis-with-application-to-financial-time-series-analysis-1810.00919"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-approach-with-missing-values-conducted-for-statistical-learning-a-case-study-of-entrepreneurship-survival-dataset-1810.01061</loc><lastmod>2018-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-approach-with-missing-values-conducted-for-statistical-learning-a-case-study-of-entrepreneurship-survival-dataset-1810.01061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-approach-with-missing-values-conducted-for-statistical-learning-a-case-study-of-entrepreneurship-survival-dataset-1810.01061"/></url>
<url><loc>https://scifaro.com/en/abs/waic-but-why-generative-ensembles-for-robust-anomaly-detection-1810.01392</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/waic-but-why-generative-ensembles-for-robust-anomaly-detection-1810.01392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/waic-but-why-generative-ensembles-for-robust-anomaly-detection-1810.01392"/></url>
<url><loc>https://scifaro.com/en/abs/gramme-semi-supervised-learning-using-multi-layered-graph-attention-models-1810.01405</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gramme-semi-supervised-learning-using-multi-layered-graph-attention-models-1810.01405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gramme-semi-supervised-learning-using-multi-layered-graph-attention-models-1810.01405"/></url>
<url><loc>https://scifaro.com/en/abs/automated-learning-with-a-probabilistic-programming-language-birch-1810.01539</loc><lastmod>2020-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-learning-with-a-probabilistic-programming-language-birch-1810.01539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-learning-with-a-probabilistic-programming-language-birch-1810.01539"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalized-neyman-pearson-criterion-for-optimal-domain-adaptation-1810.01545</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalized-neyman-pearson-criterion-for-optimal-domain-adaptation-1810.01545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalized-neyman-pearson-criterion-for-optimal-domain-adaptation-1810.01545"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-layered-neural-networks-via-hierarchical-modular-representation-1810.01588</loc><lastmod>2018-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-layered-neural-networks-via-hierarchical-modular-representation-1810.01588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-layered-neural-networks-via-hierarchical-modular-representation-1810.01588"/></url>
<url><loc>https://scifaro.com/en/abs/safe-rulefit-learning-optimal-sparse-rule-model-by-meta-safe-screening-1810.01683</loc><lastmod>2025-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-rulefit-learning-optimal-sparse-rule-model-by-meta-safe-screening-1810.01683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-rulefit-learning-optimal-sparse-rule-model-by-meta-safe-screening-1810.01683"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-model-for-sparse-graphs-with-flexible-degree-distribution-and-overlapping-community-structure-1810.01778</loc><lastmod>2018-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-model-for-sparse-graphs-with-flexible-degree-distribution-and-overlapping-community-structure-1810.01778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-model-for-sparse-graphs-with-flexible-degree-distribution-and-overlapping-community-structure-1810.01778"/></url>
<url><loc>https://scifaro.com/en/abs/mctorch-a-manifold-optimization-library-for-deep-learning-1810.01811</loc><lastmod>2018-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mctorch-a-manifold-optimization-library-for-deep-learning-1810.01811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mctorch-a-manifold-optimization-library-for-deep-learning-1810.01811"/></url>
<url><loc>https://scifaro.com/en/abs/robust-estimation-and-generative-adversarial-nets-1810.02030</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-estimation-and-generative-adversarial-nets-1810.02030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-estimation-and-generative-adversarial-nets-1810.02030"/></url>
<url><loc>https://scifaro.com/en/abs/infill-criterion-for-multimodal-model-based-optimisation-1810.02118</loc><lastmod>2018-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infill-criterion-for-multimodal-model-based-optimisation-1810.02118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infill-criterion-for-multimodal-model-based-optimisation-1810.02118"/></url>
<url><loc>https://scifaro.com/en/abs/xbart-accelerated-bayesian-additive-regression-trees-1810.02215</loc><lastmod>2019-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/xbart-accelerated-bayesian-additive-regression-trees-1810.02215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/xbart-accelerated-bayesian-additive-regression-trees-1810.02215"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-and-dynamical-behavior-of-the-adam-algorithm-for-non-convex-stochastic-optimization-1810.02263</loc><lastmod>2020-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-and-dynamical-behavior-of-the-adam-algorithm-for-non-convex-stochastic-optimization-1810.02263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-and-dynamical-behavior-of-the-adam-algorithm-for-non-convex-stochastic-optimization-1810.02263"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-learning-with-anisotropic-gaussian-svms-1810.02321</loc><lastmod>2018-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-learning-with-anisotropic-gaussian-svms-1810.02321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-learning-with-anisotropic-gaussian-svms-1810.02321"/></url>
<url><loc>https://scifaro.com/en/abs/projective-inference-in-high-dimensional-problems-prediction-and-feature-selection-1810.02406</loc><lastmod>2020-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projective-inference-in-high-dimensional-problems-prediction-and-feature-selection-1810.02406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projective-inference-in-high-dimensional-problems-prediction-and-feature-selection-1810.02406"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-poisson-dag-model-learning-using-ell-1-regularized-regression-1810.02501</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-poisson-dag-model-learning-using-ell-1-regularized-regression-1810.02501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-poisson-dag-model-learning-using-ell-1-regularized-regression-1810.02501"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-to-rank-with-features-1810.02567</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-to-rank-with-features-1810.02567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-to-rank-with-features-1810.02567"/></url>
<url><loc>https://scifaro.com/en/abs/immigrate-a-margin-based-feature-selection-method-with-interaction-terms-1810.02658</loc><lastmod>2020-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/immigrate-a-margin-based-feature-selection-method-with-interaction-terms-1810.02658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/immigrate-a-margin-based-feature-selection-method-with-interaction-terms-1810.02658"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-semi-implicit-variational-inference-1810.02789</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-semi-implicit-variational-inference-1810.02789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-semi-implicit-variational-inference-1810.02789"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-optimality-of-interpolated-nearest-neighbor-algorithms-1810.02814</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-optimality-of-interpolated-nearest-neighbor-algorithms-1810.02814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-optimality-of-interpolated-nearest-neighbor-algorithms-1810.02814"/></url>
<url><loc>https://scifaro.com/en/abs/training-complex-models-with-multi-task-weak-supervision-1810.02840</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-complex-models-with-multi-task-weak-supervision-1810.02840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-complex-models-with-multi-task-weak-supervision-1810.02840"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-clinical-trials-exploiting-sequential-patient-recruitment-and-allocation-1810.02876</loc><lastmod>2018-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-clinical-trials-exploiting-sequential-patient-recruitment-and-allocation-1810.02876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-clinical-trials-exploiting-sequential-patient-recruitment-and-allocation-1810.02876"/></url>
<url><loc>https://scifaro.com/en/abs/interval-estimation-of-individual-level-causal-effects-under-unobserved-confounding-1810.02894</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interval-estimation-of-individual-level-causal-effects-under-unobserved-confounding-1810.02894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interval-estimation-of-individual-level-causal-effects-under-unobserved-confounding-1810.02894"/></url>
<url><loc>https://scifaro.com/en/abs/network-distance-based-on-laplacian-flows-on-graphs-1810.02906</loc><lastmod>2025-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-distance-based-on-laplacian-flows-on-graphs-1810.02906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-distance-based-on-laplacian-flows-on-graphs-1810.02906"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-art-and-science-of-machine-learning-explanations-1810.02909</loc><lastmod>2020-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-art-and-science-of-machine-learning-explanations-1810.02909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-art-and-science-of-machine-learning-explanations-1810.02909"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-geo-topological-independence-criterion-1810.02923</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-geo-topological-independence-criterion-1810.02923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-geo-topological-independence-criterion-1810.02923"/></url>
<url><loc>https://scifaro.com/en/abs/h-detach-modifying-the-lstm-gradient-towards-better-optimization-1810.03023</loc><lastmod>2019-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/h-detach-modifying-the-lstm-gradient-towards-better-optimization-1810.03023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/h-detach-modifying-the-lstm-gradient-towards-better-optimization-1810.03023"/></url>
<url><loc>https://scifaro.com/en/abs/discretizing-logged-interaction-data-biases-learning-for-decision-making-1810.03025</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discretizing-logged-interaction-data-biases-learning-for-decision-making-1810.03025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discretizing-logged-interaction-data-biases-learning-for-decision-making-1810.03025"/></url>
<url><loc>https://scifaro.com/en/abs/constructing-graph-node-embeddings-via-discrimination-of-similarity-distributions-1810.03032</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constructing-graph-node-embeddings-via-discrimination-of-similarity-distributions-1810.03032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constructing-graph-node-embeddings-via-discrimination-of-similarity-distributions-1810.03032"/></url>
<url><loc>https://scifaro.com/en/abs/recovering-quantized-data-with-missing-information-using-bilinear-factorization-and-augmented-lagrangian-method-1810.03222</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovering-quantized-data-with-missing-information-using-bilinear-factorization-and-augmented-lagrangian-method-1810.03222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovering-quantized-data-with-missing-information-using-bilinear-factorization-and-augmented-lagrangian-method-1810.03222"/></url>
<url><loc>https://scifaro.com/en/abs/deep-diffeomorphic-normalizing-flows-1810.03256</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-diffeomorphic-normalizing-flows-1810.03256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-diffeomorphic-normalizing-flows-1810.03256"/></url>
<url><loc>https://scifaro.com/en/abs/unique-metric-for-health-analysis-with-optimization-of-clustering-activity-and-cross-comparison-of-results-from-different-approach-1810.03419</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unique-metric-for-health-analysis-with-optimization-of-clustering-activity-and-cross-comparison-of-results-from-different-approach-1810.03419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unique-metric-for-health-analysis-with-optimization-of-clustering-activity-and-cross-comparison-of-results-from-different-approach-1810.03419"/></url>
<url><loc>https://scifaro.com/en/abs/graph-embedding-with-shifted-inner-product-similarity-and-its-improved-approximation-capability-1810.03463</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-embedding-with-shifted-inner-product-similarity-and-its-improved-approximation-capability-1810.03463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-embedding-with-shifted-inner-product-similarity-and-its-improved-approximation-capability-1810.03463"/></url>
<url><loc>https://scifaro.com/en/abs/stein-neural-sampler-1810.03545</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stein-neural-sampler-1810.03545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stein-neural-sampler-1810.03545"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-dynamic-approach-to-sparse-model-selection-1810.03608</loc><lastmod>2018-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-dynamic-approach-to-sparse-model-selection-1810.03608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-dynamic-approach-to-sparse-model-selection-1810.03608"/></url>
<url><loc>https://scifaro.com/en/abs/jobs-joint-sparse-optimization-from-bootstrap-samples-1810.03743</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jobs-joint-sparse-optimization-from-bootstrap-samples-1810.03743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jobs-joint-sparse-optimization-from-bootstrap-samples-1810.03743"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-object-matching-for-relational-data-1810.03770</loc><lastmod>2018-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-object-matching-for-relational-data-1810.03770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-object-matching-for-relational-data-1810.03770"/></url>
<url><loc>https://scifaro.com/en/abs/information-geometry-of-orthogonal-initializations-and-training-1810.03785</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-geometry-of-orthogonal-initializations-and-training-1810.03785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-geometry-of-orthogonal-initializations-and-training-1810.03785"/></url>
<url><loc>https://scifaro.com/en/abs/snap-a-semismooth-newton-algorithm-for-pathwise-optimization-with-optimal-local-convergence-rate-and-oracle-properties-1810.03814</loc><lastmod>2018-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/snap-a-semismooth-newton-algorithm-for-pathwise-optimization-with-optimal-local-convergence-rate-and-oracle-properties-1810.03814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/snap-a-semismooth-newton-algorithm-for-pathwise-optimization-with-optimal-local-convergence-rate-and-oracle-properties-1810.03814"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-minimax-regret-against-smooth-logarithmic-losses-over-high-dimensional-ell-1-balls-via-envelope-complexity-1810.03825</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-minimax-regret-against-smooth-logarithmic-losses-over-high-dimensional-ell-1-balls-via-envelope-complexity-1810.03825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-minimax-regret-against-smooth-logarithmic-losses-over-high-dimensional-ell-1-balls-via-envelope-complexity-1810.03825"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-metric-learning-algorithms-applications-and-outlooks-1810.03944</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-metric-learning-algorithms-applications-and-outlooks-1810.03944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-metric-learning-algorithms-applications-and-outlooks-1810.03944"/></url>
<url><loc>https://scifaro.com/en/abs/dropout-as-a-structured-shrinkage-prior-1810.04045</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropout-as-a-structured-shrinkage-prior-1810.04045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropout-as-a-structured-shrinkage-prior-1810.04045"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-no-free-lunch-theorem-for-adversarial-robustness-1810.04065</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-no-free-lunch-theorem-for-adversarial-robustness-1810.04065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-no-free-lunch-theorem-for-adversarial-robustness-1810.04065"/></url>
<url><loc>https://scifaro.com/en/abs/data-dependent-compression-of-random-features-for-large-scale-kernel-approximation-1810.04249</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-dependent-compression-of-random-features-for-large-scale-kernel-approximation-1810.04249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-dependent-compression-of-random-features-for-large-scale-kernel-approximation-1810.04249"/></url>
<url><loc>https://scifaro.com/en/abs/a-tale-of-three-probabilistic-families-discriminative-descriptive-and-generative-models-1810.04261</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tale-of-three-probabilistic-families-discriminative-descriptive-and-generative-models-1810.04261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tale-of-three-probabilistic-families-discriminative-descriptive-and-generative-models-1810.04261"/></url>
<url><loc>https://scifaro.com/en/abs/complementary-label-learning-for-arbitrary-losses-and-models-1810.04327</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complementary-label-learning-for-arbitrary-losses-and-models-1810.04327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complementary-label-learning-for-arbitrary-losses-and-models-1810.04327"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-approximation-properties-of-random-relu-features-1810.04374</loc><lastmod>2019-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-approximation-properties-of-random-relu-features-1810.04374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-approximation-properties-of-random-relu-features-1810.04374"/></url>
<url><loc>https://scifaro.com/en/abs/harmonizable-mixture-kernels-with-variational-fourier-features-1810.04416</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/harmonizable-mixture-kernels-with-variational-fourier-features-1810.04416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/harmonizable-mixture-kernels-with-variational-fourier-features-1810.04416"/></url>
<url><loc>https://scifaro.com/en/abs/et-lasso-a-new-efficient-tuning-of-lasso-type-regularization-for-high-dimensional-data-1810.04513</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/et-lasso-a-new-efficient-tuning-of-lasso-type-regularization-for-high-dimensional-data-1810.04513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/et-lasso-a-new-efficient-tuning-of-lasso-type-regularization-for-high-dimensional-data-1810.04513"/></url>
<url><loc>https://scifaro.com/en/abs/a-closer-look-at-structured-pruning-for-neural-network-compression-1810.04622</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-closer-look-at-structured-pruning-for-neural-network-compression-1810.04622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-closer-look-at-structured-pruning-for-neural-network-compression-1810.04622"/></url>
<url><loc>https://scifaro.com/en/abs/non-linear-process-convolutions-for-multi-output-gaussian-processes-1810.04632</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-linear-process-convolutions-for-multi-output-gaussian-processes-1810.04632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-linear-process-convolutions-for-multi-output-gaussian-processes-1810.04632"/></url>
<url><loc>https://scifaro.com/en/abs/rao-blackwellized-stochastic-gradients-for-discrete-distributions-1810.04777</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rao-blackwellized-stochastic-gradients-for-discrete-distributions-1810.04777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rao-blackwellized-stochastic-gradients-for-discrete-distributions-1810.04777"/></url>
<url><loc>https://scifaro.com/en/abs/offline-multi-action-policy-learning-generalization-and-optimization-1810.04778</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-multi-action-policy-learning-generalization-and-optimization-1810.04778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-multi-action-policy-learning-generalization-and-optimization-1810.04778"/></url>
<url><loc>https://scifaro.com/en/abs/panda-adaptive-noisy-data-augmentation-for-regularization-of-undirected-graphical-models-1810.04851</loc><lastmod>2019-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/panda-adaptive-noisy-data-augmentation-for-regularization-of-undirected-graphical-models-1810.04851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/panda-adaptive-noisy-data-augmentation-for-regularization-of-undirected-graphical-models-1810.04851"/></url>
<url><loc>https://scifaro.com/en/abs/classification-using-margin-pursuit-1810.04863</loc><lastmod>2018-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-using-margin-pursuit-1810.04863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-using-margin-pursuit-1810.04863"/></url>
<url><loc>https://scifaro.com/en/abs/pairwise-augmented-gans-with-adversarial-reconstruction-loss-1810.04920</loc><lastmod>2018-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pairwise-augmented-gans-with-adversarial-reconstruction-loss-1810.04920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pairwise-augmented-gans-with-adversarial-reconstruction-loss-1810.04920"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-contextual-bandits-1810.05065</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-contextual-bandits-1810.05065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-contextual-bandits-1810.05065"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-deep-convolutional-networks-with-many-channels-are-gaussian-processes-1810.05148</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-deep-convolutional-networks-with-many-channels-are-gaussian-processes-1810.05148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-deep-convolutional-networks-with-many-channels-are-gaussian-processes-1810.05148"/></url>
<url><loc>https://scifaro.com/en/abs/fighting-contextual-bandits-with-stochastic-smoothing-1810.05188</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fighting-contextual-bandits-with-stochastic-smoothing-1810.05188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fighting-contextual-bandits-with-stochastic-smoothing-1810.05188"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-priors-in-bayesian-neural-networks-at-the-unit-level-1810.05193</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-priors-in-bayesian-neural-networks-at-the-unit-level-1810.05193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-priors-in-bayesian-neural-networks-at-the-unit-level-1810.05193"/></url>
<url><loc>https://scifaro.com/en/abs/on-kernel-derivative-approximation-with-random-fourier-features-1810.05207</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-kernel-derivative-approximation-with-random-fourier-features-1810.05207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-kernel-derivative-approximation-with-random-fourier-features-1810.05207"/></url>
<url><loc>https://scifaro.com/en/abs/online-multiclass-boosting-with-bandit-feedback-1810.05290</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-multiclass-boosting-with-bandit-feedback-1810.05290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-multiclass-boosting-with-bandit-feedback-1810.05290"/></url>
<url><loc>https://scifaro.com/en/abs/block-stability-for-map-inference-1810.05305</loc><lastmod>2020-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/block-stability-for-map-inference-1810.05305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/block-stability-for-map-inference-1810.05305"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-matters-generalization-and-optimization-of-neural-nets-v-s-their-induced-kernel-1810.05369</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-matters-generalization-and-optimization-of-neural-nets-v-s-their-induced-kernel-1810.05369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-matters-generalization-and-optimization-of-neural-nets-v-s-their-induced-kernel-1810.05369"/></url>
<url><loc>https://scifaro.com/en/abs/safe-grid-search-with-optimal-complexity-1810.05471</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-grid-search-with-optimal-complexity-1810.05471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-grid-search-with-optimal-complexity-1810.05471"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-in-neural-networks-approximately-bayesian-ensembling-1810.05546</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-in-neural-networks-approximately-bayesian-ensembling-1810.05546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-in-neural-networks-approximately-bayesian-ensembling-1810.05546"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bayesian-monte-carlo-1810.05558</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayesian-monte-carlo-1810.05558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayesian-monte-carlo-1810.05558"/></url>
<url><loc>https://scifaro.com/en/abs/facility-locations-utility-for-uncovering-classifier-overconfidence-1810.05571</loc><lastmod>2018-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/facility-locations-utility-for-uncovering-classifier-overconfidence-1810.05571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/facility-locations-utility-for-uncovering-classifier-overconfidence-1810.05571"/></url>
<url><loc>https://scifaro.com/en/abs/learning-grid-cells-as-vector-representation-of-self-position-coupled-with-matrix-representation-of-self-motion-1810.05597</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-grid-cells-as-vector-representation-of-self-position-coupled-with-matrix-representation-of-self-motion-1810.05597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-grid-cells-as-vector-representation-of-self-position-coupled-with-matrix-representation-of-self-motion-1810.05597"/></url>
<url><loc>https://scifaro.com/en/abs/tuning-fairness-by-balancing-target-labels-1810.05598</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tuning-fairness-by-balancing-target-labels-1810.05598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tuning-fairness-by-balancing-target-labels-1810.05598"/></url>
<url><loc>https://scifaro.com/en/abs/global-convergence-of-em-algorithm-for-mixtures-of-two-component-linear-regression-1810.05752</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-convergence-of-em-algorithm-for-mixtures-of-two-component-linear-regression-1810.05752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-convergence-of-em-algorithm-for-mixtures-of-two-component-linear-regression-1810.05752"/></url>
<url><loc>https://scifaro.com/en/abs/convex-hull-approximation-of-nearly-optimal-lasso-solutions-1810.05992</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-hull-approximation-of-nearly-optimal-lasso-solutions-1810.05992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-hull-approximation-of-nearly-optimal-lasso-solutions-1810.05992"/></url>
<url><loc>https://scifaro.com/en/abs/robust-descent-using-smoothed-multiplicative-noise-1810.06207</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-descent-using-smoothed-multiplicative-noise-1810.06207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-descent-using-smoothed-multiplicative-noise-1810.06207"/></url>
<url><loc>https://scifaro.com/en/abs/dimensionality-reduction-and-bucket-ranking-a-mass-transportation-approach-1810.06291</loc><lastmod>2019-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimensionality-reduction-and-bucket-ranking-a-mass-transportation-approach-1810.06291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimensionality-reduction-and-bucket-ranking-a-mass-transportation-approach-1810.06291"/></url>
<url><loc>https://scifaro.com/en/abs/hyperparameter-learning-via-distributional-transfer-1810.06305</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperparameter-learning-via-distributional-transfer-1810.06305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperparameter-learning-via-distributional-transfer-1810.06305"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-ensemble-learning-via-ising-model-approximation-with-application-to-phenotyping-prediction-1810.06376</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-ensemble-learning-via-ising-model-approximation-with-application-to-phenotyping-prediction-1810.06376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-ensemble-learning-via-ising-model-approximation-with-application-to-phenotyping-prediction-1810.06376"/></url>
<url><loc>https://scifaro.com/en/abs/a-priori-estimates-of-the-population-risk-for-two-layer-neural-networks-1810.06397</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-priori-estimates-of-the-population-risk-for-two-layer-neural-networks-1810.06397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-priori-estimates-of-the-population-risk-for-two-layer-neural-networks-1810.06397"/></url>
<url><loc>https://scifaro.com/en/abs/learning-by-unsupervised-nonlinear-diffusion-1810.06702</loc><lastmod>2019-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-by-unsupervised-nonlinear-diffusion-1810.06702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-by-unsupervised-nonlinear-diffusion-1810.06702"/></url>
<url><loc>https://scifaro.com/en/abs/discriminator-rejection-sampling-1810.06758</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminator-rejection-sampling-1810.06758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminator-rejection-sampling-1810.06758"/></url>
<url><loc>https://scifaro.com/en/abs/co-manifold-learning-with-missing-data-1810.06803</loc><lastmod>2018-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/co-manifold-learning-with-missing-data-1810.06803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/co-manifold-learning-with-missing-data-1810.06803"/></url>
<url><loc>https://scifaro.com/en/abs/the-deep-weight-prior-1810.06943</loc><lastmod>2019-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-deep-weight-prior-1810.06943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-deep-weight-prior-1810.06943"/></url>
<url><loc>https://scifaro.com/en/abs/decomposing-feature-level-variation-with-covariate-gaussian-process-latent-variable-models-1810.06983</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decomposing-feature-level-variation-with-covariate-gaussian-process-latent-variable-models-1810.06983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decomposing-feature-level-variation-with-covariate-gaussian-process-latent-variable-models-1810.06983"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-varying-index-coefficient-models-via-stein-s-identity-1810.07128</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-varying-index-coefficient-models-via-stein-s-identity-1810.07128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-varying-index-coefficient-models-via-stein-s-identity-1810.07128"/></url>
<url><loc>https://scifaro.com/en/abs/joint-nonparametric-precision-matrix-estimation-with-confounding-1810.07147</loc><lastmod>2019-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-nonparametric-precision-matrix-estimation-with-confounding-1810.07147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-nonparametric-precision-matrix-estimation-with-confounding-1810.07147"/></url>
<url><loc>https://scifaro.com/en/abs/metropolis-hastings-view-on-variational-inference-and-adversarial-training-1810.07151</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metropolis-hastings-view-on-variational-inference-and-adversarial-training-1810.07151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metropolis-hastings-view-on-variational-inference-and-adversarial-training-1810.07151"/></url>
<url><loc>https://scifaro.com/en/abs/data-association-with-gaussian-processes-1810.07158</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-association-with-gaussian-processes-1810.07158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-association-with-gaussian-processes-1810.07158"/></url>
<url><loc>https://scifaro.com/en/abs/signed-iterative-random-forests-to-identify-enhancer-associated-transcription-factor-binding-1810.07287</loc><lastmod>2023-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/signed-iterative-random-forests-to-identify-enhancer-associated-transcription-factor-binding-1810.07287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/signed-iterative-random-forests-to-identify-enhancer-associated-transcription-factor-binding-1810.07287"/></url>
<url><loc>https://scifaro.com/en/abs/simple-regret-minimization-for-contextual-bandits-1810.07371</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-regret-minimization-for-contextual-bandits-1810.07371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-regret-minimization-for-contextual-bandits-1810.07371"/></url>
<url><loc>https://scifaro.com/en/abs/emhmm-simulation-study-1810.07435</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emhmm-simulation-study-1810.07435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emhmm-simulation-study-1810.07435"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-methods-of-moments-1810.07468</loc><lastmod>2018-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-methods-of-moments-1810.07468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-methods-of-moments-1810.07468"/></url>
<url><loc>https://scifaro.com/en/abs/the-loss-surface-of-deep-linear-networks-viewed-through-the-algebraic-geometry-lens-1810.07716</loc><lastmod>2018-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-loss-surface-of-deep-linear-networks-viewed-through-the-algebraic-geometry-lens-1810.07716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-loss-surface-of-deep-linear-networks-viewed-through-the-algebraic-geometry-lens-1810.07716"/></url>
<url><loc>https://scifaro.com/en/abs/robust-sparse-reduced-rank-regression-in-high-dimensions-1810.07913</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-sparse-reduced-rank-regression-in-high-dimensions-1810.07913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-sparse-reduced-rank-regression-in-high-dimensions-1810.07913"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-machine-learning-models-using-entropic-variable-projection-1810.07924</loc><lastmod>2022-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-machine-learning-models-using-entropic-variable-projection-1810.07924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-machine-learning-models-using-entropic-variable-projection-1810.07924"/></url>
<url><loc>https://scifaro.com/en/abs/hierlpr-decision-making-in-hierarchical-multi-label-classification-with-local-precision-rates-1810.07954</loc><lastmod>2018-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierlpr-decision-making-in-hierarchical-multi-label-classification-with-local-precision-rates-1810.07954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierlpr-decision-making-in-hierarchical-multi-label-classification-with-local-precision-rates-1810.07954"/></url>
<url><loc>https://scifaro.com/en/abs/variational-noise-contrastive-estimation-1810.08010</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-noise-contrastive-estimation-1810.08010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-noise-contrastive-estimation-1810.08010"/></url>
<url><loc>https://scifaro.com/en/abs/adaptivity-of-deep-relu-network-for-learning-in-besov-and-mixed-smooth-besov-spaces-optimal-rate-and-curse-of-dimensionality-1810.08033</loc><lastmod>2018-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptivity-of-deep-relu-network-for-learning-in-besov-and-mixed-smooth-besov-spaces-optimal-rate-and-curse-of-dimensionality-1810.08033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptivity-of-deep-relu-network-for-learning-in-besov-and-mixed-smooth-besov-spaces-optimal-rate-and-curse-of-dimensionality-1810.08033"/></url>
<url><loc>https://scifaro.com/en/abs/good-initializations-of-variational-bayes-for-deep-models-1810.08083</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/good-initializations-of-variational-bayes-for-deep-models-1810.08083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/good-initializations-of-variational-bayes-for-deep-models-1810.08083"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-approach-to-translate-classical-bandit-algorithms-to-the-structured-bandit-setting-1810.08164</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-approach-to-translate-classical-bandit-algorithms-to-the-structured-bandit-setting-1810.08164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-approach-to-translate-classical-bandit-algorithms-to-the-structured-bandit-setting-1810.08164"/></url>
<url><loc>https://scifaro.com/en/abs/data-analysis-from-empirical-moments-and-the-christoffel-function-1810.08480</loc><lastmod>2020-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-analysis-from-empirical-moments-and-the-christoffel-function-1810.08480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-analysis-from-empirical-moments-and-the-christoffel-function-1810.08480"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-distance-clustering-1810.08537</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-distance-clustering-1810.08537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-distance-clustering-1810.08537"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-in-distributed-medical-databases-meta-analysis-of-large-scale-subcortical-brain-data-1810.08553</loc><lastmod>2025-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-in-distributed-medical-databases-meta-analysis-of-large-scale-subcortical-brain-data-1810.08553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-in-distributed-medical-databases-meta-analysis-of-large-scale-subcortical-brain-data-1810.08553"/></url>
<url><loc>https://scifaro.com/en/abs/population-and-empirical-pr-curves-for-assessment-of-ranking-algorithms-1810.08635</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/population-and-empirical-pr-curves-for-assessment-of-ranking-algorithms-1810.08635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/population-and-empirical-pr-curves-for-assessment-of-ranking-algorithms-1810.08635"/></url>
<url><loc>https://scifaro.com/en/abs/taking-advantage-of-multitask-learning-for-fair-classification-1810.08683</loc><lastmod>2020-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taking-advantage-of-multitask-learning-for-fair-classification-1810.08683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taking-advantage-of-multitask-learning-for-fair-classification-1810.08683"/></url>
<url><loc>https://scifaro.com/en/abs/learning-models-with-uniform-performance-via-distributionally-robust-optimization-1810.08750</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-models-with-uniform-performance-via-distributionally-robust-optimization-1810.08750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-models-with-uniform-performance-via-distributionally-robust-optimization-1810.08750"/></url>
<url><loc>https://scifaro.com/en/abs/depth-with-nonlinearity-creates-no-bad-local-minima-in-resnets-1810.09038</loc><lastmod>2019-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/depth-with-nonlinearity-creates-no-bad-local-minima-in-resnets-1810.09038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/depth-with-nonlinearity-creates-no-bad-local-minima-in-resnets-1810.09038"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-mcmc-for-state-space-models-1810.09098</loc><lastmod>2019-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-mcmc-for-state-space-models-1810.09098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-mcmc-for-state-space-models-1810.09098"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-detection-of-anomalous-sound-based-on-deep-learning-and-the-neyman-pearson-lemma-1810.09133</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-detection-of-anomalous-sound-based-on-deep-learning-and-the-neyman-pearson-lemma-1810.09133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-detection-of-anomalous-sound-based-on-deep-learning-and-the-neyman-pearson-lemma-1810.09133"/></url>
<url><loc>https://scifaro.com/en/abs/do-deep-generative-models-know-what-they-don-t-know-1810.09136</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-deep-generative-models-know-what-they-don-t-know-1810.09136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-deep-generative-models-know-what-they-don-t-know-1810.09136"/></url>
<url><loc>https://scifaro.com/en/abs/dnn-based-source-enhancement-to-increase-objective-sound-quality-assessment-score-1810.09137</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dnn-based-source-enhancement-to-increase-objective-sound-quality-assessment-score-1810.09137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dnn-based-source-enhancement-to-increase-objective-sound-quality-assessment-score-1810.09137"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparse-transformations-through-backpropagation-1810.09184</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparse-transformations-through-backpropagation-1810.09184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparse-transformations-through-backpropagation-1810.09184"/></url>
<url><loc>https://scifaro.com/en/abs/a-minimax-near-optimal-algorithm-for-adaptive-rejection-sampling-1810.09390</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-minimax-near-optimal-algorithm-for-adaptive-rejection-sampling-1810.09390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-minimax-near-optimal-algorithm-for-adaptive-rejection-sampling-1810.09390"/></url>
<url><loc>https://scifaro.com/en/abs/properties-of-an-n-time-slice-dynamic-chain-event-graph-1810.09414</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/properties-of-an-n-time-slice-dynamic-chain-event-graph-1810.09414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/properties-of-an-n-time-slice-dynamic-chain-event-graph-1810.09414"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-multi-domain-learning-for-cancer-subtype-discovery-from-next-generation-sequencing-count-data-1810.09433</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-multi-domain-learning-for-cancer-subtype-discovery-from-next-generation-sequencing-count-data-1810.09433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-multi-domain-learning-for-cancer-subtype-discovery-from-next-generation-sequencing-count-data-1810.09433"/></url>
<url><loc>https://scifaro.com/en/abs/a-method-for-robust-online-classification-using-dictionary-learning-development-and-assessment-for-monitoring-manual-material-handling-activities-using-wearable-sensors-1810.09447</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-method-for-robust-online-classification-using-dictionary-learning-development-and-assessment-for-monitoring-manual-material-handling-activities-using-wearable-sensors-1810.09447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-method-for-robust-online-classification-using-dictionary-learning-development-and-assessment-for-monitoring-manual-material-handling-activities-using-wearable-sensors-1810.09447"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-risk-bounds-via-function-transformation-1810.09519</loc><lastmod>2019-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-risk-bounds-via-function-transformation-1810.09519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-risk-bounds-via-function-transformation-1810.09519"/></url>
<url><loc>https://scifaro.com/en/abs/model-selection-techniques-an-overview-1810.09583</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-selection-techniques-an-overview-1810.09583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-selection-techniques-an-overview-1810.09583"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-likelihood-free-inference-via-ratio-estimation-dire-1810.09899</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-likelihood-free-inference-via-ratio-estimation-dire-1810.09899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-likelihood-free-inference-via-ratio-estimation-dire-1810.09899"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-bayesian-experimental-design-for-implicit-models-1810.09912</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-bayesian-experimental-design-for-implicit-models-1810.09912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-bayesian-experimental-design-for-implicit-models-1810.09912"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-time-series-with-nonlinear-dynamics-a-bayesian-non-parametric-and-particle-based-approach-1810.09920</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-time-series-with-nonlinear-dynamics-a-bayesian-non-parametric-and-particle-based-approach-1810.09920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-time-series-with-nonlinear-dynamics-a-bayesian-non-parametric-and-particle-based-approach-1810.09920"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-mechanics-of-low-rank-tensor-decomposition-1810.10065</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-mechanics-of-low-rank-tensor-decomposition-1810.10065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-mechanics-of-low-rank-tensor-decomposition-1810.10065"/></url>
<url><loc>https://scifaro.com/en/abs/model-selection-for-nonnegative-matrix-factorization-by-support-union-recovery-1810.10078</loc><lastmod>2018-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-selection-for-nonnegative-matrix-factorization-by-support-union-recovery-1810.10078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-selection-for-nonnegative-matrix-factorization-by-support-union-recovery-1810.10078"/></url>
<url><loc>https://scifaro.com/en/abs/a-continuous-time-view-of-early-stopping-for-least-squares-1810.10082</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-continuous-time-view-of-early-stopping-for-least-squares-1810.10082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-continuous-time-view-of-early-stopping-for-least-squares-1810.10082"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-gaussian-processes-on-discrete-domains-1810.10368</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-gaussian-processes-on-discrete-domains-1810.10368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-gaussian-processes-on-discrete-domains-1810.10368"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-mechanism-for-efficient-information-dissemination-in-vehicular-floating-content-1810.10425</loc><lastmod>2018-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-mechanism-for-efficient-information-dissemination-in-vehicular-floating-content-1810.10425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-mechanism-for-efficient-information-dissemination-in-vehicular-floating-content-1810.10425"/></url>
<url><loc>https://scifaro.com/en/abs/distilling-with-performance-enhanced-students-1810.10460</loc><lastmod>2019-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distilling-with-performance-enhanced-students-1810.10460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distilling-with-performance-enhanced-students-1810.10460"/></url>
<url><loc>https://scifaro.com/en/abs/noisy-blackbox-optimization-with-multi-fidelity-queries-a-tree-search-approach-1810.10482</loc><lastmod>2018-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisy-blackbox-optimization-with-multi-fidelity-queries-a-tree-search-approach-1810.10482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisy-blackbox-optimization-with-multi-fidelity-queries-a-tree-search-approach-1810.10482"/></url>
<url><loc>https://scifaro.com/en/abs/robust-adversarial-learning-via-sparsifying-front-ends-1810.10625</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-adversarial-learning-via-sparsifying-front-ends-1810.10625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-adversarial-learning-via-sparsifying-front-ends-1810.10625"/></url>
<url><loc>https://scifaro.com/en/abs/adversarially-robust-optimization-with-gaussian-processes-1810.10775</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarially-robust-optimization-with-gaussian-processes-1810.10775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarially-robust-optimization-with-gaussian-processes-1810.10775"/></url>
<url><loc>https://scifaro.com/en/abs/a-gaussian-process-perspective-on-convolutional-neural-networks-1810.10798</loc><lastmod>2019-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-gaussian-process-perspective-on-convolutional-neural-networks-1810.10798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-gaussian-process-perspective-on-convolutional-neural-networks-1810.10798"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-load-sampling-for-worst-case-structural-analysis-under-force-location-uncertainty-1810.10977</loc><lastmod>2018-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-load-sampling-for-worst-case-structural-analysis-under-force-location-uncertainty-1810.10977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-load-sampling-for-worst-case-structural-analysis-under-force-location-uncertainty-1810.10977"/></url>
<url><loc>https://scifaro.com/en/abs/provable-gaussian-embedding-with-one-observation-1810.11098</loc><lastmod>2018-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-gaussian-embedding-with-one-observation-1810.11098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-gaussian-embedding-with-one-observation-1810.11098"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-parallel-algorithms-for-optimization-on-manifolds-1810.11155</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-parallel-algorithms-for-optimization-on-manifolds-1810.11155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-parallel-algorithms-for-optimization-on-manifolds-1810.11155"/></url>
<url><loc>https://scifaro.com/en/abs/deep-poisson-gamma-dynamical-systems-1810.11209</loc><lastmod>2019-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-poisson-gamma-dynamical-systems-1810.11209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-poisson-gamma-dynamical-systems-1810.11209"/></url>
<url><loc>https://scifaro.com/en/abs/generating-equilibrium-molecules-with-deep-neural-networks-1810.11347</loc><lastmod>2018-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-equilibrium-molecules-with-deep-neural-networks-1810.11347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-equilibrium-molecules-with-deep-neural-networks-1810.11347"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-stability-of-the-knockoff-procedure-multiple-simultaneous-knockoffs-and-entropy-maximization-1810.11378</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-stability-of-the-knockoff-procedure-multiple-simultaneous-knockoffs-and-entropy-maximization-1810.11378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-stability-of-the-knockoff-procedure-multiple-simultaneous-knockoffs-and-entropy-maximization-1810.11378"/></url>
<url><loc>https://scifaro.com/en/abs/resampled-priors-for-variational-autoencoders-1810.11428</loc><lastmod>2019-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resampled-priors-for-variational-autoencoders-1810.11428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resampled-priors-for-variational-autoencoders-1810.11428"/></url>
<url><loc>https://scifaro.com/en/abs/accumulating-knowledge-for-lifelong-online-learning-1810.11479</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accumulating-knowledge-for-lifelong-online-learning-1810.11479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accumulating-knowledge-for-lifelong-online-learning-1810.11479"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-knn-information-estimators-for-smooth-distributions-1810.11571</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-knn-information-estimators-for-smooth-distributions-1810.11571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-knn-information-estimators-for-smooth-distributions-1810.11571"/></url>
<url><loc>https://scifaro.com/en/abs/informative-features-for-model-comparison-1810.11630</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/informative-features-for-model-comparison-1810.11630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/informative-features-for-model-comparison-1810.11630"/></url>
<url><loc>https://scifaro.com/en/abs/removing-hidden-confounding-by-experimental-grounding-1810.11646</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/removing-hidden-confounding-by-experimental-grounding-1810.11646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/removing-hidden-confounding-by-experimental-grounding-1810.11646"/></url>
<url><loc>https://scifaro.com/en/abs/stein-variational-gradient-descent-as-moment-matching-1810.11693</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stein-variational-gradient-descent-as-moment-matching-1810.11693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stein-variational-gradient-descent-as-moment-matching-1810.11693"/></url>
<url><loc>https://scifaro.com/en/abs/hull-form-optimization-with-principal-component-analysis-and-deep-neural-network-1810.11701</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hull-form-optimization-with-principal-component-analysis-and-deep-neural-network-1810.11701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hull-form-optimization-with-principal-component-analysis-and-deep-neural-network-1810.11701"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-effect-of-fast-gradient-sign-method-and-its-generalization-1810.11711</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-effect-of-fast-gradient-sign-method-and-its-generalization-1810.11711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-effect-of-fast-gradient-sign-method-and-its-generalization-1810.11711"/></url>
<url><loc>https://scifaro.com/en/abs/towards-robust-deep-neural-networks-1810.11726</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-robust-deep-neural-networks-1810.11726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-robust-deep-neural-networks-1810.11726"/></url>
<url><loc>https://scifaro.com/en/abs/learning-stable-and-predictive-structures-in-kinetic-systems-benefits-of-a-causal-approach-1810.11776</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-stable-and-predictive-structures-in-kinetic-systems-benefits-of-a-causal-approach-1810.11776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-stable-and-predictive-structures-in-kinetic-systems-benefits-of-a-causal-approach-1810.11776"/></url>
<url><loc>https://scifaro.com/en/abs/recurjac-an-efficient-recursive-algorithm-for-bounding-jacobian-matrix-of-neural-networks-and-its-applications-1810.11783</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurjac-an-efficient-recursive-algorithm-for-bounding-jacobian-matrix-of-neural-networks-and-its-applications-1810.11783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurjac-an-efficient-recursive-algorithm-for-bounding-jacobian-matrix-of-neural-networks-and-its-applications-1810.11783"/></url>
<url><loc>https://scifaro.com/en/abs/change-surfaces-for-expressive-multidimensional-changepoints-and-counterfactual-prediction-1810.11861</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/change-surfaces-for-expressive-multidimensional-changepoints-and-counterfactual-prediction-1810.11861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/change-surfaces-for-expressive-multidimensional-changepoints-and-counterfactual-prediction-1810.11861"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-implementation-of-riemannian-manifold-hamiltonian-monte-carlo-for-gaussian-process-models-1810.11893</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-implementation-of-riemannian-manifold-hamiltonian-monte-carlo-for-gaussian-process-models-1810.11893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-implementation-of-riemannian-manifold-hamiltonian-monte-carlo-for-gaussian-process-models-1810.11893"/></url>
<url><loc>https://scifaro.com/en/abs/failing-loudly-an-empirical-study-of-methods-for-detecting-dataset-shift-1810.11953</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/failing-loudly-an-empirical-study-of-methods-for-detecting-dataset-shift-1810.11953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/failing-loudly-an-empirical-study-of-methods-for-detecting-dataset-shift-1810.11953"/></url>
<url><loc>https://scifaro.com/en/abs/an-amalgamation-of-classical-and-quantum-machine-learning-for-the-classification-of-adenocarcinoma-and-squamous-cell-carcinoma-patients-1810.11959</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-amalgamation-of-classical-and-quantum-machine-learning-for-the-classification-of-adenocarcinoma-and-squamous-cell-carcinoma-patients-1810.11959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-amalgamation-of-classical-and-quantum-machine-learning-for-the-classification-of-adenocarcinoma-and-squamous-cell-carcinoma-patients-1810.11959"/></url>
<url><loc>https://scifaro.com/en/abs/semi-crowdsourced-clustering-with-deep-generative-models-1810.11971</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-crowdsourced-clustering-with-deep-generative-models-1810.11971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-crowdsourced-clustering-with-deep-generative-models-1810.11971"/></url>
<url><loc>https://scifaro.com/en/abs/identification-of-physical-processes-via-combined-data-driven-and-data-assimilation-methods-1810.11977</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identification-of-physical-processes-via-combined-data-driven-and-data-assimilation-methods-1810.11977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identification-of-physical-processes-via-combined-data-driven-and-data-assimilation-methods-1810.11977"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-maximum-likelihood-estimation-and-feature-selection-in-mixtures-of-experts-models-1810.12161</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-maximum-likelihood-estimation-and-feature-selection-in-mixtures-of-experts-models-1810.12161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-maximum-likelihood-estimation-and-feature-selection-in-mixtures-of-experts-models-1810.12161"/></url>
<url><loc>https://scifaro.com/en/abs/semi-unsupervised-learning-of-human-activity-using-deep-generative-models-1810.12176</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-unsupervised-learning-of-human-activity-using-deep-generative-models-1810.12176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-unsupervised-learning-of-human-activity-using-deep-generative-models-1810.12176"/></url>
<url><loc>https://scifaro.com/en/abs/variational-calibration-of-computer-models-1810.12177</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-calibration-of-computer-models-1810.12177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-calibration-of-computer-models-1810.12177"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-bayesian-computation-via-population-monte-carlo-and-classification-1810.12233</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-bayesian-computation-via-population-monte-carlo-and-classification-1810.12233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-bayesian-computation-via-population-monte-carlo-and-classification-1810.12233"/></url>
<url><loc>https://scifaro.com/en/abs/learning-gaussian-processes-by-minimizing-pac-bayesian-generalization-bounds-1810.12263</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-gaussian-processes-by-minimizing-pac-bayesian-generalization-bounds-1810.12263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-gaussian-processes-by-minimizing-pac-bayesian-generalization-bounds-1810.12263"/></url>
<url><loc>https://scifaro.com/en/abs/kalman-gradient-descent-adaptive-variance-reduction-in-stochastic-optimization-1810.12273</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kalman-gradient-descent-adaptive-variance-reduction-in-stochastic-optimization-1810.12273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kalman-gradient-descent-adaptive-variance-reduction-in-stochastic-optimization-1810.12273"/></url>
<url><loc>https://scifaro.com/en/abs/global-non-convex-optimization-with-discretized-diffusions-1810.12361</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-non-convex-optimization-with-discretized-diffusions-1810.12361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-non-convex-optimization-with-discretized-diffusions-1810.12361"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-inference-in-hilbert-space-with-quantum-graphical-models-1810.12369</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-inference-in-hilbert-space-with-quantum-graphical-models-1810.12369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-inference-in-hilbert-space-with-quantum-graphical-models-1810.12369"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-approach-to-quantized-matrix-completion-using-huber-loss-measure-1810.12460</loc><lastmod>2019-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-approach-to-quantized-matrix-completion-using-huber-loss-measure-1810.12460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-approach-to-quantized-matrix-completion-using-huber-loss-measure-1810.12460"/></url>
<url><loc>https://scifaro.com/en/abs/pseudo-bayesian-learning-with-kernel-fourier-transform-as-prior-1810.12683</loc><lastmod>2019-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pseudo-bayesian-learning-with-kernel-fourier-transform-as-prior-1810.12683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pseudo-bayesian-learning-with-kernel-fourier-transform-as-prior-1810.12683"/></url>
<url><loc>https://scifaro.com/en/abs/hypergraph-based-semi-supervised-learning-algorithms-applied-to-speech-recognition-problem-a-novel-approach-1810.12743</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypergraph-based-semi-supervised-learning-algorithms-applied-to-speech-recognition-problem-a-novel-approach-1810.12743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypergraph-based-semi-supervised-learning-algorithms-applied-to-speech-recognition-problem-a-novel-approach-1810.12743"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-conditional-density-estimation-1810.12750</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-conditional-density-estimation-1810.12750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-conditional-density-estimation-1810.12750"/></url>
<url><loc>https://scifaro.com/en/abs/a-tutorial-on-mdl-hypothesis-testing-for-graph-analysis-1810.13163</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tutorial-on-mdl-hypothesis-testing-for-graph-analysis-1810.13163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tutorial-on-mdl-hypothesis-testing-for-graph-analysis-1810.13163"/></url>
<url><loc>https://scifaro.com/en/abs/on-fast-leverage-score-sampling-and-optimal-learning-1810.13258</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-fast-leverage-score-sampling-and-optimal-learning-1810.13258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-fast-leverage-score-sampling-and-optimal-learning-1810.13258"/></url>
<url><loc>https://scifaro.com/en/abs/on-exploration-exploitation-and-learning-in-adaptive-importance-sampling-1810.13296</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-exploration-exploitation-and-learning-in-adaptive-importance-sampling-1810.13296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-exploration-exploitation-and-learning-in-adaptive-importance-sampling-1810.13296"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-multivariate-singular-spectrum-analysis-1810.13317</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-multivariate-singular-spectrum-analysis-1810.13317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-multivariate-singular-spectrum-analysis-1810.13317"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-for-comparison-based-learning-1810.13333</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-for-comparison-based-learning-1810.13333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-for-comparison-based-learning-1810.13333"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-deep-neural-networks-through-input-uncertainties-1810.13425</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-deep-neural-networks-through-input-uncertainties-1810.13425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-deep-neural-networks-through-input-uncertainties-1810.13425"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-dimension-selection-using-a-blue-noise-spectrum-1810.13427</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-dimension-selection-using-a-blue-noise-spectrum-1810.13427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-dimension-selection-using-a-blue-noise-spectrum-1810.13427"/></url>
<url><loc>https://scifaro.com/en/abs/targeted-stochastic-gradient-markov-chain-monte-carlo-for-hidden-markov-models-with-rare-latent-states-1810.13431</loc><lastmod>2024-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/targeted-stochastic-gradient-markov-chain-monte-carlo-for-hidden-markov-models-with-rare-latent-states-1810.13431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/targeted-stochastic-gradient-markov-chain-monte-carlo-for-hidden-markov-models-with-rare-latent-states-1810.13431"/></url>
<url><loc>https://scifaro.com/en/abs/robustly-disentangled-causal-mechanisms-validating-deep-representations-for-interventional-robustness-1811.00007</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustly-disentangled-causal-mechanisms-validating-deep-representations-for-interventional-robustness-1811.00007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustly-disentangled-causal-mechanisms-validating-deep-representations-for-interventional-robustness-1811.00007"/></url>
<url><loc>https://scifaro.com/en/abs/an-interdisciplinary-comparison-of-sequence-modeling-methods-for-next-element-prediction-1811.00062</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-interdisciplinary-comparison-of-sequence-modeling-methods-for-next-element-prediction-1811.00062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-interdisciplinary-comparison-of-sequence-modeling-methods-for-next-element-prediction-1811.00062"/></url>
<url><loc>https://scifaro.com/en/abs/dimensionality-reduction-has-quantifiable-imperfections-two-geometric-bounds-1811.00115</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimensionality-reduction-has-quantifiable-imperfections-two-geometric-bounds-1811.00115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimensionality-reduction-has-quantifiable-imperfections-two-geometric-bounds-1811.00115"/></url>
<url><loc>https://scifaro.com/en/abs/designing-an-effective-metric-learning-pipeline-for-speaker-diarization-1811.00183</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/designing-an-effective-metric-learning-pipeline-for-speaker-diarization-1811.00183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/designing-an-effective-metric-learning-pipeline-for-speaker-diarization-1811.00183"/></url>
<url><loc>https://scifaro.com/en/abs/hmlasso-lasso-with-high-missing-rate-1811.00255</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hmlasso-lasso-with-high-missing-rate-1811.00255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hmlasso-lasso-with-high-missing-rate-1811.00255"/></url>
<url><loc>https://scifaro.com/en/abs/critical-initialisation-for-deep-signal-propagation-in-noisy-rectifier-neural-networks-1811.00293</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/critical-initialisation-for-deep-signal-propagation-in-noisy-rectifier-neural-networks-1811.00293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/critical-initialisation-for-deep-signal-propagation-in-noisy-rectifier-neural-networks-1811.00293"/></url>
<url><loc>https://scifaro.com/en/abs/dilated-densenets-for-relational-reasoning-1811.00410</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dilated-densenets-for-relational-reasoning-1811.00410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dilated-densenets-for-relational-reasoning-1811.00410"/></url>
<url><loc>https://scifaro.com/en/abs/multiplicative-latent-force-models-1811.00423</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiplicative-latent-force-models-1811.00423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiplicative-latent-force-models-1811.00423"/></url>
<url><loc>https://scifaro.com/en/abs/learning-beam-search-policies-via-imitation-learning-1811.00512</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-beam-search-policies-via-imitation-learning-1811.00512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-beam-search-policies-via-imitation-learning-1811.00512"/></url>
<url><loc>https://scifaro.com/en/abs/pymc-learn-practical-probabilistic-machine-learning-in-python-1811.00542</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pymc-learn-practical-probabilistic-machine-learning-in-python-1811.00542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pymc-learn-practical-probabilistic-machine-learning-in-python-1811.00542"/></url>
<url><loc>https://scifaro.com/en/abs/variational-dropout-via-empirical-bayes-1811.00596</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-dropout-via-empirical-bayes-1811.00596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-dropout-via-empirical-bayes-1811.00596"/></url>
<url><loc>https://scifaro.com/en/abs/independent-vector-analysis-for-data-fusion-prior-to-molecular-property-prediction-with-machine-learning-1811.00628</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/independent-vector-analysis-for-data-fusion-prior-to-molecular-property-prediction-with-machine-learning-1811.00628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/independent-vector-analysis-for-data-fusion-prior-to-molecular-property-prediction-with-machine-learning-1811.00628"/></url>
<url><loc>https://scifaro.com/en/abs/mdfs-multidimensional-feature-selection-1811.00631</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mdfs-multidimensional-feature-selection-1811.00631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mdfs-multidimensional-feature-selection-1811.00631"/></url>
<url><loc>https://scifaro.com/en/abs/quasi-random-sampling-for-multivariate-distributions-via-generative-neural-networks-1811.00683</loc><lastmod>2020-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quasi-random-sampling-for-multivariate-distributions-via-generative-neural-networks-1811.00683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quasi-random-sampling-for-multivariate-distributions-via-generative-neural-networks-1811.00683"/></url>
<url><loc>https://scifaro.com/en/abs/closed-form-variational-objectives-for-bayesian-neural-networks-with-a-single-hidden-layer-1811.00686</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/closed-form-variational-objectives-for-bayesian-neural-networks-with-a-single-hidden-layer-1811.00686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/closed-form-variational-objectives-for-bayesian-neural-networks-with-a-single-hidden-layer-1811.00686"/></url>
<url><loc>https://scifaro.com/en/abs/stronger-data-poisoning-attacks-break-data-sanitization-defenses-1811.00741</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stronger-data-poisoning-attacks-break-data-sanitization-defenses-1811.00741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stronger-data-poisoning-attacks-break-data-sanitization-defenses-1811.00741"/></url>
<url><loc>https://scifaro.com/en/abs/single-model-uncertainties-for-deep-learning-1811.00908</loc><lastmod>2019-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/single-model-uncertainties-for-deep-learning-1811.00908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/single-model-uncertainties-for-deep-learning-1811.00908"/></url>
<url><loc>https://scifaro.com/en/abs/foundations-of-comparison-based-hierarchical-clustering-1811.00928</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/foundations-of-comparison-based-hierarchical-clustering-1811.00928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/foundations-of-comparison-based-hierarchical-clustering-1811.00928"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-algorithm-for-clustering-high-dimensional-feature-vectors-1811.00956</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-algorithm-for-clustering-high-dimensional-feature-vectors-1811.00956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-algorithm-for-clustering-high-dimensional-feature-vectors-1811.00956"/></url>
<url><loc>https://scifaro.com/en/abs/neural-likelihoods-via-cumulative-distribution-functions-1811.00974</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-likelihoods-via-cumulative-distribution-functions-1811.00974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-likelihoods-via-cumulative-distribution-functions-1811.00974"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-comparing-scalable-gaussian-process-regression-for-big-data-1811.01159</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-comparing-scalable-gaussian-process-regression-for-big-data-1811.01159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-comparing-scalable-gaussian-process-regression-for-big-data-1811.01159"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-heteroscedastic-regression-via-gaussian-process-1811.01179</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-heteroscedastic-regression-via-gaussian-process-1811.01179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-heteroscedastic-regression-via-gaussian-process-1811.01179"/></url>
<url><loc>https://scifaro.com/en/abs/towards-sparse-hierarchical-graph-classifiers-1811.01287</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-sparse-hierarchical-graph-classifiers-1811.01287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-sparse-hierarchical-graph-classifiers-1811.01287"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-phase-retrieval-via-variational-bayesian-learning-1811.01574</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-phase-retrieval-via-variational-bayesian-learning-1811.01574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-phase-retrieval-via-variational-bayesian-learning-1811.01574"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-conjugate-gradient-methods-with-random-projections-1811.01760</loc><lastmod>2022-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-conjugate-gradient-methods-with-random-projections-1811.01760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-conjugate-gradient-methods-with-random-projections-1811.01760"/></url>
<url><loc>https://scifaro.com/en/abs/dapper-scaling-dynamic-author-persona-topic-model-to-billion-word-corpora-1811.01931</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dapper-scaling-dynamic-author-persona-topic-model-to-billion-word-corpora-1811.01931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dapper-scaling-dynamic-author-persona-topic-model-to-billion-word-corpora-1811.01931"/></url>
<url><loc>https://scifaro.com/en/abs/physics-informed-generative-adversarial-networks-for-stochastic-differential-equations-1811.02033</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-generative-adversarial-networks-for-stochastic-differential-equations-1811.02033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-generative-adversarial-networks-for-stochastic-differential-equations-1811.02033"/></url>
<url><loc>https://scifaro.com/en/abs/simple-distributed-and-accelerated-probabilistic-programming-1811.02091</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-distributed-and-accelerated-probabilistic-programming-1811.02091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-distributed-and-accelerated-probabilistic-programming-1811.02091"/></url>
<url><loc>https://scifaro.com/en/abs/a-quasi-newton-algorithm-on-the-orthogonal-manifold-for-nmf-with-transform-learning-1811.02225</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-quasi-newton-algorithm-on-the-orthogonal-manifold-for-nmf-with-transform-learning-1811.02225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-quasi-newton-algorithm-on-the-orthogonal-manifold-for-nmf-with-transform-learning-1811.02225"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-discrete-choice-models-and-artificial-neural-networks-in-presence-of-missing-variables-1811.02284</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-discrete-choice-models-and-artificial-neural-networks-in-presence-of-missing-variables-1811.02284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-discrete-choice-models-and-artificial-neural-networks-in-presence-of-missing-variables-1811.02284"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-regression-for-graph-signal-prediction-in-presence-of-sparse-noise-1811.02314</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-regression-for-graph-signal-prediction-in-presence-of-sparse-noise-1811.02314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-regression-for-graph-signal-prediction-in-presence-of-sparse-noise-1811.02314"/></url>
<url><loc>https://scifaro.com/en/abs/stacked-penalized-logistic-regression-for-selecting-views-in-multi-view-learning-1811.02316</loc><lastmod>2020-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stacked-penalized-logistic-regression-for-selecting-views-in-multi-view-learning-1811.02316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stacked-penalized-logistic-regression-for-selecting-views-in-multi-view-learning-1811.02316"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-evolution-via-spatially-dependent-linear-dynamics-for-electrophysiology-and-calcium-data-1811.02459</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-evolution-via-spatially-dependent-linear-dynamics-for-electrophysiology-and-calcium-data-1811.02459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-evolution-via-spatially-dependent-linear-dynamics-for-electrophysiology-and-calcium-data-1811.02459"/></url>
<url><loc>https://scifaro.com/en/abs/double-adaptive-stochastic-gradient-optimization-1811.02525</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/double-adaptive-stochastic-gradient-optimization-1811.02525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/double-adaptive-stochastic-gradient-optimization-1811.02525"/></url>
<url><loc>https://scifaro.com/en/abs/deep-probabilistic-ensembles-approximate-variational-inference-through-kl-regularization-1811.02640</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-probabilistic-ensembles-approximate-variational-inference-through-kl-regularization-1811.02640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-probabilistic-ensembles-approximate-variational-inference-through-kl-regularization-1811.02640"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-and-smooth-signal-estimation-convexification-of-l0-formulations-1811.02655</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-and-smooth-signal-estimation-convexification-of-l0-formulations-1811.02655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-and-smooth-signal-estimation-convexification-of-l0-formulations-1811.02655"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-robust-graphical-models-1811.02728</loc><lastmod>2018-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-robust-graphical-models-1811.02728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-robust-graphical-models-1811.02728"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-state-estimation-for-unobservable-distribution-systems-via-deep-learning-1811.02756</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-state-estimation-for-unobservable-distribution-systems-via-deep-learning-1811.02756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-state-estimation-for-unobservable-distribution-systems-via-deep-learning-1811.02756"/></url>
<url><loc>https://scifaro.com/en/abs/thors-an-efficient-approach-for-making-classifiers-cost-sensitive-1811.02814</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thors-an-efficient-approach-for-making-classifiers-cost-sensitive-1811.02814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thors-an-efficient-approach-for-making-classifiers-cost-sensitive-1811.02814"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-variational-gradient-descent-from-semi-discrete-optimal-transport-to-ensemble-variational-inference-1811.02827</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-variational-gradient-descent-from-semi-discrete-optimal-transport-to-ensemble-variational-inference-1811.02827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-variational-gradient-descent-from-semi-discrete-optimal-transport-to-ensemble-variational-inference-1811.02827"/></url>
<url><loc>https://scifaro.com/en/abs/fused-gromov-wasserstein-distance-for-structured-objects-theoretical-foundations-and-mathematical-properties-1811.02834</loc><lastmod>2018-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fused-gromov-wasserstein-distance-for-structured-objects-theoretical-foundations-and-mathematical-properties-1811.02834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fused-gromov-wasserstein-distance-for-structured-objects-theoretical-foundations-and-mathematical-properties-1811.02834"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-network-structure-from-incomplete-event-data-1811.02979</loc><lastmod>2018-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-network-structure-from-incomplete-event-data-1811.02979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-network-structure-from-incomplete-event-data-1811.02979"/></url>
<url><loc>https://scifaro.com/en/abs/un-normalized-hypergraph-p-laplacian-based-semi-supervised-learning-methods-1811.02986</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/un-normalized-hypergraph-p-laplacian-based-semi-supervised-learning-methods-1811.02986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/un-normalized-hypergraph-p-laplacian-based-semi-supervised-learning-methods-1811.02986"/></url>
<url><loc>https://scifaro.com/en/abs/poisson-multi-bernoulli-mapping-using-gibbs-sampling-1811.03154</loc><lastmod>2018-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poisson-multi-bernoulli-mapping-using-gibbs-sampling-1811.03154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poisson-multi-bernoulli-mapping-using-gibbs-sampling-1811.03154"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-of-conditional-gans-to-noisy-labels-1811.03205</loc><lastmod>2018-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-of-conditional-gans-to-noisy-labels-1811.03205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-of-conditional-gans-to-noisy-labels-1811.03205"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimal-transport-view-on-generalization-1811.03270</loc><lastmod>2018-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimal-transport-view-on-generalization-1811.03270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimal-transport-view-on-generalization-1811.03270"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-simplicial-theory-for-feature-selection-and-applications-to-genomics-1811.03377</loc><lastmod>2018-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-simplicial-theory-for-feature-selection-and-applications-to-genomics-1811.03377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-simplicial-theory-for-feature-selection-and-applications-to-genomics-1811.03377"/></url>
<url><loc>https://scifaro.com/en/abs/optimized-hidden-markov-model-based-on-constrained-particle-swarm-optimization-1811.03450</loc><lastmod>2018-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimized-hidden-markov-model-based-on-constrained-particle-swarm-optimization-1811.03450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimized-hidden-markov-model-based-on-constrained-particle-swarm-optimization-1811.03450"/></url>
<url><loc>https://scifaro.com/en/abs/practical-bayesian-learning-of-neural-networks-via-adaptive-optimisation-methods-1811.03679</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-bayesian-learning-of-neural-networks-via-adaptive-optimisation-methods-1811.03679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-bayesian-learning-of-neural-networks-via-adaptive-optimisation-methods-1811.03679"/></url>
<url><loc>https://scifaro.com/en/abs/targeting-solutions-in-bayesian-multi-objective-optimization-sequential-and-batch-versions-1811.03862</loc><lastmod>2020-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/targeting-solutions-in-bayesian-multi-objective-optimization-sequential-and-batch-versions-1811.03862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/targeting-solutions-in-bayesian-multi-objective-optimization-sequential-and-batch-versions-1811.03862"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-uncertainty-quantification-in-physics-informed-neural-networks-1811.04026</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-uncertainty-quantification-in-physics-informed-neural-networks-1811.04026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-uncertainty-quantification-in-physics-informed-neural-networks-1811.04026"/></url>
<url><loc>https://scifaro.com/en/abs/complex-unitary-recurrent-neural-networks-using-scaled-cayley-transform-1811.04142</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complex-unitary-recurrent-neural-networks-using-scaled-cayley-transform-1811.04142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complex-unitary-recurrent-neural-networks-using-scaled-cayley-transform-1811.04142"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-via-graphical-lasso-1811.04277</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-via-graphical-lasso-1811.04277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-via-graphical-lasso-1811.04277"/></url>
<url><loc>https://scifaro.com/en/abs/reset-learning-recurrent-dynamic-routing-in-resnet-like-neural-networks-1811.04380</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reset-learning-recurrent-dynamic-routing-in-resnet-like-neural-networks-1811.04380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reset-learning-recurrent-dynamic-routing-in-resnet-like-neural-networks-1811.04380"/></url>
<url><loc>https://scifaro.com/en/abs/multi-source-neural-variational-inference-1811.04451</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-source-neural-variational-inference-1811.04451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-source-neural-variational-inference-1811.04451"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-tree-based-tensor-formats-1811.04455</loc><lastmod>2019-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-tree-based-tensor-formats-1811.04455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-tree-based-tensor-formats-1811.04455"/></url>
<url><loc>https://scifaro.com/en/abs/unifying-gaussian-lwf-and-amp-chain-graphs-to-model-interference-1811.04477</loc><lastmod>2019-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unifying-gaussian-lwf-and-amp-chain-graphs-to-model-interference-1811.04477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unifying-gaussian-lwf-and-amp-chain-graphs-to-model-interference-1811.04477"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-dimensions-contributing-to-detected-anomalies-with-variational-autoencoders-1811.04576</loc><lastmod>2018-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-dimensions-contributing-to-detected-anomalies-with-variational-autoencoders-1811.04576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-dimensions-contributing-to-detected-anomalies-with-variational-autoencoders-1811.04576"/></url>
<url><loc>https://scifaro.com/en/abs/importance-weighted-evolution-strategies-1811.04624</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-weighted-evolution-strategies-1811.04624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-weighted-evolution-strategies-1811.04624"/></url>
<url><loc>https://scifaro.com/en/abs/global-sensitivity-analysis-for-optimization-with-variable-selection-1811.04646</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-sensitivity-analysis-for-optimization-with-variable-selection-1811.04646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-sensitivity-analysis-for-optimization-with-variable-selection-1811.04646"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-binary-multiway-data-probabilistic-tensor-decomposition-and-its-statistical-optimality-1811.05076</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-binary-multiway-data-probabilistic-tensor-decomposition-and-its-statistical-optimality-1811.05076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-binary-multiway-data-probabilistic-tensor-decomposition-and-its-statistical-optimality-1811.05076"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-method-for-amortizing-variational-filtering-1811.05090</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-method-for-amortizing-variational-filtering-1811.05090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-method-for-amortizing-variational-filtering-1811.05090"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-analysis-of-adversarial-learning-a-minimax-approach-1811.05232</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-analysis-of-adversarial-learning-a-minimax-approach-1811.05232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-analysis-of-adversarial-learning-a-minimax-approach-1811.05232"/></url>
<url><loc>https://scifaro.com/en/abs/deep-bayesian-inversion-1811.05910</loc><lastmod>2024-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-bayesian-inversion-1811.05910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-bayesian-inversion-1811.05910"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-generative-discriminative-models-for-inverse-materials-design-1811.06060</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-generative-discriminative-models-for-inverse-materials-design-1811.06060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-generative-discriminative-models-for-inverse-materials-design-1811.06060"/></url>
<url><loc>https://scifaro.com/en/abs/learning-optimal-personalized-treatment-rules-using-robust-regression-informed-k-nn-1811.06083</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-optimal-personalized-treatment-rules-using-robust-regression-informed-k-nn-1811.06083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-optimal-personalized-treatment-rules-using-robust-regression-informed-k-nn-1811.06083"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-with-contrastive-latent-variable-models-1811.06094</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-with-contrastive-latent-variable-models-1811.06094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-with-contrastive-latent-variable-models-1811.06094"/></url>
<url><loc>https://scifaro.com/en/abs/newton-methods-for-convolutional-neural-networks-1811.06100</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/newton-methods-for-convolutional-neural-networks-1811.06100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/newton-methods-for-convolutional-neural-networks-1811.06100"/></url>
<url><loc>https://scifaro.com/en/abs/pure-exploration-for-infinite-armed-bandits-with-general-arm-reservoirs-1811.06149</loc><lastmod>2019-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pure-exploration-for-infinite-armed-bandits-with-general-arm-reservoirs-1811.06149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pure-exploration-for-infinite-armed-bandits-with-general-arm-reservoirs-1811.06149"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-wind-speed-forecasting-using-kernel-spectral-hidden-markov-models-1811.06210</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-wind-speed-forecasting-using-kernel-spectral-hidden-markov-models-1811.06210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-wind-speed-forecasting-using-kernel-spectral-hidden-markov-models-1811.06210"/></url>
<url><loc>https://scifaro.com/en/abs/subspace-clustering-through-sub-clusters-1811.06580</loc><lastmod>2020-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subspace-clustering-through-sub-clusters-1811.06580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subspace-clustering-through-sub-clusters-1811.06580"/></url>
<url><loc>https://scifaro.com/en/abs/the-trace-criterion-for-kernel-bandwidth-selection-for-support-vector-data-description-1811.06838</loc><lastmod>2020-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-trace-criterion-for-kernel-bandwidth-selection-for-support-vector-data-description-1811.06838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-trace-criterion-for-kernel-bandwidth-selection-for-support-vector-data-description-1811.06838"/></url>
<url><loc>https://scifaro.com/en/abs/symmetry-constrained-machine-learning-1811.07051</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symmetry-constrained-machine-learning-1811.07051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symmetry-constrained-machine-learning-1811.07051"/></url>
<url><loc>https://scifaro.com/en/abs/minimum-weight-norm-models-do-not-always-generalize-well-for-over-parameterized-problems-1811.07055</loc><lastmod>2020-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimum-weight-norm-models-do-not-always-generalize-well-for-over-parameterized-problems-1811.07055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimum-weight-norm-models-do-not-always-generalize-well-for-over-parameterized-problems-1811.07055"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-and-greedy-subset-of-data-sod-scheme-for-sparsification-in-gaussian-processes-1811.07199</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-and-greedy-subset-of-data-sod-scheme-for-sparsification-in-gaussian-processes-1811.07199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-and-greedy-subset-of-data-sod-scheme-for-sparsification-in-gaussian-processes-1811.07199"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-approach-to-assessing-neural-network-robustness-1811.07209</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-approach-to-assessing-neural-network-robustness-1811.07209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-approach-to-assessing-neural-network-robustness-1811.07209"/></url>
<url><loc>https://scifaro.com/en/abs/deep-determinantal-point-processes-1811.07245</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-determinantal-point-processes-1811.07245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-determinantal-point-processes-1811.07245"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-graphs-for-sensor-data-driven-modelling-of-power-systems-at-scale-1811.07267</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-graphs-for-sensor-data-driven-modelling-of-power-systems-at-scale-1811.07267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-graphs-for-sensor-data-driven-modelling-of-power-systems-at-scale-1811.07267"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-deep-networks-1811.07429</loc><lastmod>2019-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-deep-networks-1811.07429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-deep-networks-1811.07429"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-random-graph-matching-via-degree-profiles-1811.07821</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-random-graph-matching-via-degree-profiles-1811.07821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-random-graph-matching-via-degree-profiles-1811.07821"/></url>
<url><loc>https://scifaro.com/en/abs/model-change-detection-with-application-to-machine-learning-1811.07957</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-change-detection-with-application-to-machine-learning-1811.07957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-change-detection-with-application-to-machine-learning-1811.07957"/></url>
<url><loc>https://scifaro.com/en/abs/variance-reduction-in-stochastic-particle-optimization-sampling-1811.08052</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-reduction-in-stochastic-particle-optimization-sampling-1811.08052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-reduction-in-stochastic-particle-optimization-sampling-1811.08052"/></url>
<url><loc>https://scifaro.com/en/abs/an-interpretable-multiple-kernel-learning-approach-for-the-discovery-of-integrative-cancer-subtypes-1811.08102</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-interpretable-multiple-kernel-learning-approach-for-the-discovery-of-integrative-cancer-subtypes-1811.08102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-interpretable-multiple-kernel-learning-approach-for-the-discovery-of-integrative-cancer-subtypes-1811.08102"/></url>
<url><loc>https://scifaro.com/en/abs/finite-mixture-model-of-nonparametric-density-estimation-using-sampling-importance-resampling-for-persistence-landscape-1811.08297</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-mixture-model-of-nonparametric-density-estimation-using-sampling-importance-resampling-for-persistence-landscape-1811.08297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-mixture-model-of-nonparametric-density-estimation-using-sampling-importance-resampling-for-persistence-landscape-1811.08297"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-autoregressive-density-estimation-for-state-space-models-1811.08337</loc><lastmod>2018-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-autoregressive-density-estimation-for-state-space-models-1811.08337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-autoregressive-density-estimation-for-state-space-models-1811.08337"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-kernels-for-exponential-family-densities-1811.08357</loc><lastmod>2021-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-kernels-for-exponential-family-densities-1811.08357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-kernels-for-exponential-family-densities-1811.08357"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-can-be-faster-than-optimization-1811.08413</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-can-be-faster-than-optimization-1811.08413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-can-be-faster-than-optimization-1811.08413"/></url>
<url><loc>https://scifaro.com/en/abs/joint-association-and-classification-analysis-of-multi-view-data-1811.08511</loc><lastmod>2020-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-association-and-classification-analysis-of-multi-view-data-1811.08511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-association-and-classification-analysis-of-multi-view-data-1811.08511"/></url>
<url><loc>https://scifaro.com/en/abs/population-aware-hierarchical-bayesian-domain-adaptation-1811.08579</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/population-aware-hierarchical-bayesian-domain-adaptation-1811.08579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/population-aware-hierarchical-bayesian-domain-adaptation-1811.08579"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-neural-methods-for-likelihood-free-inference-1811.08723</loc><lastmod>2018-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-neural-methods-for-likelihood-free-inference-1811.08723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-neural-methods-for-likelihood-free-inference-1811.08723"/></url>
<url><loc>https://scifaro.com/en/abs/marginal-weighted-maximum-log-likelihood-for-efficient-learning-of-perturb-and-map-models-1811.08725</loc><lastmod>2018-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marginal-weighted-maximum-log-likelihood-for-efficient-learning-of-perturb-and-map-models-1811.08725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marginal-weighted-maximum-log-likelihood-for-efficient-learning-of-perturb-and-map-models-1811.08725"/></url>
<url><loc>https://scifaro.com/en/abs/self-adversarially-learned-bayesian-sampling-1811.08929</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-adversarially-learned-bayesian-sampling-1811.08929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-adversarially-learned-bayesian-sampling-1811.08929"/></url>
<url><loc>https://scifaro.com/en/abs/spread-divergence-1811.08968</loc><lastmod>2022-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spread-divergence-1811.08968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spread-divergence-1811.08968"/></url>
<url><loc>https://scifaro.com/en/abs/psica-decision-trees-for-probabilistic-subgroup-identification-with-categorical-treatments-1811.09065</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/psica-decision-trees-for-probabilistic-subgroup-identification-with-categorical-treatments-1811.09065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/psica-decision-trees-for-probabilistic-subgroup-identification-with-categorical-treatments-1811.09065"/></url>
<url><loc>https://scifaro.com/en/abs/learning-multiple-defaults-for-machine-learning-algorithms-1811.09409</loc><lastmod>2021-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-multiple-defaults-for-machine-learning-algorithms-1811.09409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-multiple-defaults-for-machine-learning-algorithms-1811.09409"/></url>
<url><loc>https://scifaro.com/en/abs/amortized-bayesian-inference-for-clustering-models-1811.09747</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amortized-bayesian-inference-for-clustering-models-1811.09747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amortized-bayesian-inference-for-clustering-models-1811.09747"/></url>
<url><loc>https://scifaro.com/en/abs/physics-informed-cokriging-a-gaussian-process-regression-based-multifidelity-method-for-data-model-convergence-1811.09757</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-cokriging-a-gaussian-process-regression-based-multifidelity-method-for-data-model-convergence-1811.09757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-cokriging-a-gaussian-process-regression-based-multifidelity-method-for-data-model-convergence-1811.09757"/></url>
<url><loc>https://scifaro.com/en/abs/alternating-loss-correction-for-preterm-birth-prediction-from-ehr-data-with-noisy-labels-1811.09782</loc><lastmod>2018-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alternating-loss-correction-for-preterm-birth-prediction-from-ehr-data-with-noisy-labels-1811.09782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alternating-loss-correction-for-preterm-birth-prediction-from-ehr-data-with-noisy-labels-1811.09782"/></url>
<url><loc>https://scifaro.com/en/abs/memoir-multi-class-extreme-classification-with-inexact-margin-1811.09863</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memoir-multi-class-extreme-classification-with-inexact-margin-1811.09863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memoir-multi-class-extreme-classification-with-inexact-margin-1811.09863"/></url>
<url><loc>https://scifaro.com/en/abs/intersectionality-multiple-group-fairness-in-expectation-constraints-1811.09960</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intersectionality-multiple-group-fairness-in-expectation-constraints-1811.09960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intersectionality-multiple-group-fairness-in-expectation-constraints-1811.09960"/></url>
<url><loc>https://scifaro.com/en/abs/robust-super-level-set-estimation-using-gaussian-processes-1811.09977</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-super-level-set-estimation-using-gaussian-processes-1811.09977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-super-level-set-estimation-using-gaussian-processes-1811.09977"/></url>
<url><loc>https://scifaro.com/en/abs/the-promises-and-pitfalls-of-stochastic-gradient-langevin-dynamics-1811.10072</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-promises-and-pitfalls-of-stochastic-gradient-langevin-dynamics-1811.10072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-promises-and-pitfalls-of-stochastic-gradient-langevin-dynamics-1811.10072"/></url>
<url><loc>https://scifaro.com/en/abs/stop-explaining-black-box-machine-learning-models-for-high-stakes-decisions-and-use-interpretable-models-instead-1811.10154</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stop-explaining-black-box-machine-learning-models-for-high-stakes-decisions-and-use-interpretable-models-instead-1811.10154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stop-explaining-black-box-machine-learning-models-for-high-stakes-decisions-and-use-interpretable-models-instead-1811.10154"/></url>
<url><loc>https://scifaro.com/en/abs/sequence-alignment-with-dirichlet-process-mixtures-1811.10689</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequence-alignment-with-dirichlet-process-mixtures-1811.10689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequence-alignment-with-dirichlet-process-mixtures-1811.10689"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-induction-of-neural-network-decision-tree-algorithms-1811.10735</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-induction-of-neural-network-decision-tree-algorithms-1811.10735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-induction-of-neural-network-decision-tree-algorithms-1811.10735"/></url>
<url><loc>https://scifaro.com/en/abs/reliable-semi-supervised-learning-when-labels-are-missing-at-random-1811.10947</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliable-semi-supervised-learning-when-labels-are-missing-at-random-1811.10947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliable-semi-supervised-learning-when-labels-are-missing-at-random-1811.10947"/></url>
<url><loc>https://scifaro.com/en/abs/rotting-bandits-are-not-harder-than-stochastic-ones-1811.11043</loc><lastmod>2020-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rotting-bandits-are-not-harder-than-stochastic-ones-1811.11043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rotting-bandits-are-not-harder-than-stochastic-ones-1811.11043"/></url>
<url><loc>https://scifaro.com/en/abs/robust-classification-of-financial-risk-1811.11079</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-classification-of-financial-risk-1811.11079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-classification-of-financial-risk-1811.11079"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-network-training-is-a-continual-learning-problem-1811.11083</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-network-training-is-a-continual-learning-problem-1811.11083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-network-training-is-a-continual-learning-problem-1811.11083"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-graph-convolutional-neural-networks-for-semi-supervised-classification-1811.11103</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-graph-convolutional-neural-networks-for-semi-supervised-classification-1811.11103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-graph-convolutional-neural-networks-for-semi-supervised-classification-1811.11103"/></url>
<url><loc>https://scifaro.com/en/abs/knots-in-random-neural-networks-1811.11152</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knots-in-random-neural-networks-1811.11152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knots-in-random-neural-networks-1811.11152"/></url>
<url><loc>https://scifaro.com/en/abs/partitioned-variational-inference-a-unified-framework-encompassing-federated-and-continual-learning-1811.11206</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partitioned-variational-inference-a-unified-framework-encompassing-federated-and-continual-learning-1811.11206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partitioned-variational-inference-a-unified-framework-encompassing-federated-and-continual-learning-1811.11206"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-robust-chinese-remainder-theorem-for-multiple-numbers-wrapped-gaussian-mixture-model-1811.11339</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-robust-chinese-remainder-theorem-for-multiple-numbers-wrapped-gaussian-mixture-model-1811.11339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-robust-chinese-remainder-theorem-for-multiple-numbers-wrapped-gaussian-mixture-model-1811.11339"/></url>
<url><loc>https://scifaro.com/en/abs/metropolis-hastings-generative-adversarial-networks-1811.11357</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metropolis-hastings-generative-adversarial-networks-1811.11357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metropolis-hastings-generative-adversarial-networks-1811.11357"/></url>
<url><loc>https://scifaro.com/en/abs/first-order-newton-type-estimator-for-distributed-estimation-and-inference-1811.11368</loc><lastmod>2022-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/first-order-newton-type-estimator-for-distributed-estimation-and-inference-1811.11368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/first-order-newton-type-estimator-for-distributed-estimation-and-inference-1811.11368"/></url>
<url><loc>https://scifaro.com/en/abs/mixture-martingales-revisited-with-applications-to-sequential-tests-and-confidence-intervals-1811.11419</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixture-martingales-revisited-with-applications-to-sequential-tests-and-confidence-intervals-1811.11419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixture-martingales-revisited-with-applications-to-sequential-tests-and-confidence-intervals-1811.11419"/></url>
<url><loc>https://scifaro.com/en/abs/improved-calibration-of-numerical-integration-error-in-sigma-point-filters-1811.11474</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-calibration-of-numerical-integration-error-in-sigma-point-filters-1811.11474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-calibration-of-numerical-integration-error-in-sigma-point-filters-1811.11474"/></url>
<url><loc>https://scifaro.com/en/abs/the-swag-algorithm-a-mathematical-approach-that-outperforms-traditional-deep-learning-theory-and-implementation-1811.11813</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-swag-algorithm-a-mathematical-approach-that-outperforms-traditional-deep-learning-theory-and-implementation-1811.11813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-swag-algorithm-a-mathematical-approach-that-outperforms-traditional-deep-learning-theory-and-implementation-1811.11813"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-coordinates-with-physical-meaning-1811.11891</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-coordinates-with-physical-meaning-1811.11891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-coordinates-with-physical-meaning-1811.11891"/></url>
<url><loc>https://scifaro.com/en/abs/variational-autoencoding-the-lagrangian-trajectories-of-particles-in-a-combustion-system-1811.11896</loc><lastmod>2018-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-autoencoding-the-lagrangian-trajectories-of-particles-in-a-combustion-system-1811.11896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-autoencoding-the-lagrangian-trajectories-of-particles-in-a-combustion-system-1811.11896"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-inference-for-linear-support-vector-machine-1811.11922</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-inference-for-linear-support-vector-machine-1811.11922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-inference-for-linear-support-vector-machine-1811.11922"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-deep-divergence-based-clustering-for-simultaneous-feature-learning-and-clustering-of-variable-length-time-series-1811.12050</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-deep-divergence-based-clustering-for-simultaneous-feature-learning-and-clustering-of-variable-length-time-series-1811.12050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-deep-divergence-based-clustering-for-simultaneous-feature-learning-and-clustering-of-variable-length-time-series-1811.12050"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-with-optimal-coordinate-ascent-oca-1811.12064</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-with-optimal-coordinate-ascent-oca-1811.12064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-with-optimal-coordinate-ascent-oca-1811.12064"/></url>
<url><loc>https://scifaro.com/en/abs/global-optimization-of-expensive-black-box-models-based-on-asynchronous-hybrid-criterion-with-interval-reduction-1811.12142</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-optimization-of-expensive-black-box-models-based-on-asynchronous-hybrid-criterion-with-interval-reduction-1811.12142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-optimization-of-expensive-black-box-models-based-on-asynchronous-hybrid-criterion-with-interval-reduction-1811.12142"/></url>
<url><loc>https://scifaro.com/en/abs/bccnet-bayesian-classifier-combination-neural-network-1811.12258</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bccnet-bayesian-classifier-combination-neural-network-1811.12258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bccnet-bayesian-classifier-combination-neural-network-1811.12258"/></url>
<url><loc>https://scifaro.com/en/abs/regression-by-clustering-using-metropolis-hastings-1811.12295</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regression-by-clustering-using-metropolis-hastings-1811.12295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regression-by-clustering-using-metropolis-hastings-1811.12295"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-latent-variable-model-application-to-select-treatment-intensity-in-survival-analysis-1811.12323</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-latent-variable-model-application-to-select-treatment-intensity-in-survival-analysis-1811.12323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-latent-variable-model-application-to-select-treatment-intensity-in-survival-analysis-1811.12323"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-adversarial-spheres-bayesian-inference-and-adversarial-examples-in-a-noiseless-setting-1811.12335</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-adversarial-spheres-bayesian-inference-and-adversarial-examples-in-a-noiseless-setting-1811.12335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-adversarial-spheres-bayesian-inference-and-adversarial-examples-in-a-noiseless-setting-1811.12335"/></url>
<url><loc>https://scifaro.com/en/abs/robust-bayesian-cluster-enumeration-based-on-the-t-distribution-1811.12337</loc><lastmod>2020-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-bayesian-cluster-enumeration-based-on-the-t-distribution-1811.12337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-bayesian-cluster-enumeration-based-on-the-t-distribution-1811.12337"/></url>
<url><loc>https://scifaro.com/en/abs/a-multiclass-multiple-instance-learning-method-with-exact-likelihood-1811.12346</loc><lastmod>2019-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multiclass-multiple-instance-learning-method-with-exact-likelihood-1811.12346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multiclass-multiple-instance-learning-method-with-exact-likelihood-1811.12346"/></url>
<url><loc>https://scifaro.com/en/abs/tree-structured-recurrent-switching-linear-dynamical-systems-for-multi-scale-modeling-1811.12386</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tree-structured-recurrent-switching-linear-dynamical-systems-for-multi-scale-modeling-1811.12386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tree-structured-recurrent-switching-linear-dynamical-systems-for-multi-scale-modeling-1811.12386"/></url>
<url><loc>https://scifaro.com/en/abs/cnn-cert-an-efficient-framework-for-certifying-robustness-of-convolutional-neural-networks-1811.12395</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cnn-cert-an-efficient-framework-for-certifying-robustness-of-convolutional-neural-networks-1811.12395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cnn-cert-an-efficient-framework-for-certifying-robustness-of-convolutional-neural-networks-1811.12395"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-propagation-in-neural-networks-for-sparse-coding-1811.12465</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-propagation-in-neural-networks-for-sparse-coding-1811.12465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-propagation-in-neural-networks-for-sparse-coding-1811.12465"/></url>
<url><loc>https://scifaro.com/en/abs/regression-and-classification-by-zonal-kriging-1811.12507</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regression-and-classification-by-zonal-kriging-1811.12507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regression-and-classification-by-zonal-kriging-1811.12507"/></url>
<url><loc>https://scifaro.com/en/abs/restricted-boltzmann-machine-with-multivalued-hidden-variables-a-model-suppressing-over-fitting-1811.12587</loc><lastmod>2020-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/restricted-boltzmann-machine-with-multivalued-hidden-variables-a-model-suppressing-over-fitting-1811.12587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/restricted-boltzmann-machine-with-multivalued-hidden-variables-a-model-suppressing-over-fitting-1811.12587"/></url>
<url><loc>https://scifaro.com/en/abs/practical-methods-for-graph-two-sample-testing-1811.12752</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-methods-for-graph-two-sample-testing-1811.12752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-methods-for-graph-two-sample-testing-1811.12752"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-data-driven-resource-allocation-under-multi-armed-bandit-observations-1811.12852</loc><lastmod>2025-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-data-driven-resource-allocation-under-multi-armed-bandit-observations-1811.12852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-data-driven-resource-allocation-under-multi-armed-bandit-observations-1811.12852"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-machines-for-likelihood-free-inference-1811.12932</loc><lastmod>2019-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-machines-for-likelihood-free-inference-1811.12932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-machines-for-likelihood-free-inference-1811.12932"/></url>
<url><loc>https://scifaro.com/en/abs/learning-interpretable-characteristic-kernels-via-decision-forests-1812.00029</loc><lastmod>2024-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-interpretable-characteristic-kernels-via-decision-forests-1812.00029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-interpretable-characteristic-kernels-via-decision-forests-1812.00029"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-mcmc-with-repulsive-forces-1812.00071</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-mcmc-with-repulsive-forces-1812.00071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-mcmc-with-repulsive-forces-1812.00071"/></url>
<url><loc>https://scifaro.com/en/abs/deep-factors-with-gaussian-processes-for-forecasting-1812.00098</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-factors-with-gaussian-processes-for-forecasting-1812.00098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-factors-with-gaussian-processes-for-forecasting-1812.00098"/></url>
<url><loc>https://scifaro.com/en/abs/a-probabilistic-model-of-cardiac-physiology-and-electrocardiograms-1812.00209</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probabilistic-model-of-cardiac-physiology-and-electrocardiograms-1812.00209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probabilistic-model-of-cardiac-physiology-and-electrocardiograms-1812.00209"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-the-stability-of-ehr-and-ekg-based-predictive-models-1812.00210</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-the-stability-of-ehr-and-ekg-based-predictive-models-1812.00210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-the-stability-of-ehr-and-ekg-based-predictive-models-1812.00210"/></url>
<url><loc>https://scifaro.com/en/abs/improving-robustness-of-classifiers-by-training-against-live-traffic-1812.00237</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-robustness-of-classifiers-by-training-against-live-traffic-1812.00237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-robustness-of-classifiers-by-training-against-live-traffic-1812.00237"/></url>
<url><loc>https://scifaro.com/en/abs/building-robust-classifiers-through-generation-of-confident-out-of-distribution-examples-1812.00239</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-robust-classifiers-through-generation-of-confident-out-of-distribution-examples-1812.00239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-robust-classifiers-through-generation-of-confident-out-of-distribution-examples-1812.00239"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-genetic-inheritance-pattern-prediction-1812.00259</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-genetic-inheritance-pattern-prediction-1812.00259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-genetic-inheritance-pattern-prediction-1812.00259"/></url>
<url><loc>https://scifaro.com/en/abs/on-variation-of-gradients-of-deep-neural-networks-1812.00308</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-variation-of-gradients-of-deep-neural-networks-1812.00308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-variation-of-gradients-of-deep-neural-networks-1812.00308"/></url>
<url><loc>https://scifaro.com/en/abs/imputation-of-clinical-covariates-in-time-series-1812.00418</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imputation-of-clinical-covariates-in-time-series-1812.00418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imputation-of-clinical-covariates-in-time-series-1812.00418"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-omics-and-mri-data-with-kernel-based-tests-and-cnns-to-identify-rare-genetic-markers-for-alzheimer-s-disease-1812.00448</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-omics-and-mri-data-with-kernel-based-tests-and-cnns-to-identify-rare-genetic-markers-for-alzheimer-s-disease-1812.00448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-omics-and-mri-data-with-kernel-based-tests-and-cnns-to-identify-rare-genetic-markers-for-alzheimer-s-disease-1812.00448"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-clustering-via-optimal-trees-1812.00539</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-clustering-via-optimal-trees-1812.00539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-clustering-via-optimal-trees-1812.00539"/></url>
<url><loc>https://scifaro.com/en/abs/towards-theoretical-understanding-of-large-batch-training-in-stochastic-gradient-descent-1812.00542</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-theoretical-understanding-of-large-batch-training-in-stochastic-gradient-descent-1812.00542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-theoretical-understanding-of-large-batch-training-in-stochastic-gradient-descent-1812.00542"/></url>
<url><loc>https://scifaro.com/en/abs/signal-reconstruction-from-modulo-observations-1812.00557</loc><lastmod>2019-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/signal-reconstruction-from-modulo-observations-1812.00557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/signal-reconstruction-from-modulo-observations-1812.00557"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-perceptual-attributes-with-bayesian-style-generation-1812.00717</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-perceptual-attributes-with-bayesian-style-generation-1812.00717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-perceptual-attributes-with-bayesian-style-generation-1812.00717"/></url>
<url><loc>https://scifaro.com/en/abs/comprehensive-privacy-analysis-of-deep-learning-passive-and-active-white-box-inference-attacks-against-centralized-and-federated-learning-1812.00910</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comprehensive-privacy-analysis-of-deep-learning-passive-and-active-white-box-inference-attacks-against-centralized-and-federated-learning-1812.00910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comprehensive-privacy-analysis-of-deep-learning-passive-and-active-white-box-inference-attacks-against-centralized-and-federated-learning-1812.00910"/></url>
<url><loc>https://scifaro.com/en/abs/protection-against-reconstruction-and-its-applications-in-private-federated-learning-1812.00984</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/protection-against-reconstruction-and-its-applications-in-private-federated-learning-1812.00984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/protection-against-reconstruction-and-its-applications-in-private-federated-learning-1812.00984"/></url>
<url><loc>https://scifaro.com/en/abs/sensitivity-based-neural-networks-explanations-1812.01029</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sensitivity-based-neural-networks-explanations-1812.01029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sensitivity-based-neural-networks-explanations-1812.01029"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-experiment-design-for-hypothesis-verification-1812.01137</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-experiment-design-for-hypothesis-verification-1812.01137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-experiment-design-for-hypothesis-verification-1812.01137"/></url>
<url><loc>https://scifaro.com/en/abs/a-spectral-regularizer-for-unsupervised-disentanglement-1812.01161</loc><lastmod>2019-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-spectral-regularizer-for-unsupervised-disentanglement-1812.01161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-spectral-regularizer-for-unsupervised-disentanglement-1812.01161"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-tempered-stochastic-gradient-hamiltonian-monte-carlo-for-approximate-multimodal-posterior-sampling-1812.01181</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-tempered-stochastic-gradient-hamiltonian-monte-carlo-for-approximate-multimodal-posterior-sampling-1812.01181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-tempered-stochastic-gradient-hamiltonian-monte-carlo-for-approximate-multimodal-posterior-sampling-1812.01181"/></url>
<url><loc>https://scifaro.com/en/abs/a-retrieve-and-edit-framework-for-predicting-structured-outputs-1812.01194</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-retrieve-and-edit-framework-for-predicting-structured-outputs-1812.01194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-retrieve-and-edit-framework-for-predicting-structured-outputs-1812.01194"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-example-decomposition-1812.01198</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-example-decomposition-1812.01198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-example-decomposition-1812.01198"/></url>
<url><loc>https://scifaro.com/en/abs/self-guided-belief-propagation-a-homotopy-continuation-method-1812.01339</loc><lastmod>2024-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-guided-belief-propagation-a-homotopy-continuation-method-1812.01339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-guided-belief-propagation-a-homotopy-continuation-method-1812.01339"/></url>
<url><loc>https://scifaro.com/en/abs/structured-semantic-model-supported-deep-neural-network-for-click-through-rate-prediction-1812.01353</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-semantic-model-supported-deep-neural-network-for-click-through-rate-prediction-1812.01353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-semantic-model-supported-deep-neural-network-for-click-through-rate-prediction-1812.01353"/></url>
<url><loc>https://scifaro.com/en/abs/compile-compositional-imitation-learning-and-execution-1812.01483</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compile-compositional-imitation-learning-and-execution-1812.01483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compile-compositional-imitation-learning-and-execution-1812.01483"/></url>
<url><loc>https://scifaro.com/en/abs/expanding-search-in-the-space-of-empirical-ml-1812.01495</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expanding-search-in-the-space-of-empirical-ml-1812.01495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expanding-search-in-the-space-of-empirical-ml-1812.01495"/></url>
<url><loc>https://scifaro.com/en/abs/batch-selection-for-parallelisation-of-bayesian-quadrature-1812.01553</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-selection-for-parallelisation-of-bayesian-quadrature-1812.01553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-selection-for-parallelisation-of-bayesian-quadrature-1812.01553"/></url>
<url><loc>https://scifaro.com/en/abs/a-stable-cardinality-distance-for-topological-classification-1812.01664</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-stable-cardinality-distance-for-topological-classification-1812.01664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-stable-cardinality-distance-for-topological-classification-1812.01664"/></url>
<url><loc>https://scifaro.com/en/abs/boltzmann-generators-sampling-equilibrium-states-of-many-body-systems-with-deep-learning-1812.01729</loc><lastmod>2019-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boltzmann-generators-sampling-equilibrium-states-of-many-body-systems-with-deep-learning-1812.01729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boltzmann-generators-sampling-equilibrium-states-of-many-body-systems-with-deep-learning-1812.01729"/></url>
<url><loc>https://scifaro.com/en/abs/relative-concentration-bounds-for-the-spectrum-of-kernel-matrices-1812.02108</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relative-concentration-bounds-for-the-spectrum-of-kernel-matrices-1812.02108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relative-concentration-bounds-for-the-spectrum-of-kernel-matrices-1812.02108"/></url>
<url><loc>https://scifaro.com/en/abs/adapting-auxiliary-losses-using-gradient-similarity-1812.02224</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapting-auxiliary-losses-using-gradient-similarity-1812.02224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapting-auxiliary-losses-using-gradient-similarity-1812.02224"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-manifold-clustering-using-curvature-constrained-path-1812.02327</loc><lastmod>2018-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-manifold-clustering-using-curvature-constrained-path-1812.02327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-manifold-clustering-using-curvature-constrained-path-1812.02327"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-with-wasserstein-gan-1812.02463</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-with-wasserstein-gan-1812.02463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-with-wasserstein-gan-1812.02463"/></url>
<url><loc>https://scifaro.com/en/abs/a-two-stage-hybrid-model-by-using-artificial-neural-networks-as-feature-construction-algorithms-1812.02546</loc><lastmod>2018-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-two-stage-hybrid-model-by-using-artificial-neural-networks-as-feature-construction-algorithms-1812.02546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-two-stage-hybrid-model-by-using-artificial-neural-networks-as-feature-construction-algorithms-1812.02546"/></url>
<url><loc>https://scifaro.com/en/abs/prior-networks-for-detection-of-adversarial-attacks-1812.02575</loc><lastmod>2018-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prior-networks-for-detection-of-adversarial-attacks-1812.02575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prior-networks-for-detection-of-adversarial-attacks-1812.02575"/></url>
<url><loc>https://scifaro.com/en/abs/finding-the-needle-in-high-dimensional-haystack-a-tutorial-on-canonical-correlation-analysis-1812.02598</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-the-needle-in-high-dimensional-haystack-a-tutorial-on-canonical-correlation-analysis-1812.02598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-the-needle-in-high-dimensional-haystack-a-tutorial-on-canonical-correlation-analysis-1812.02598"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-hyperparameter-selection-in-autodock-1812.02618</loc><lastmod>2018-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-hyperparameter-selection-in-autodock-1812.02618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-hyperparameter-selection-in-autodock-1812.02618"/></url>
<url><loc>https://scifaro.com/en/abs/miwae-deep-generative-modelling-and-imputation-of-incomplete-data-1812.02633</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/miwae-deep-generative-modelling-and-imputation-of-incomplete-data-1812.02633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/miwae-deep-generative-modelling-and-imputation-of-incomplete-data-1812.02633"/></url>
<url><loc>https://scifaro.com/en/abs/squeezefit-label-aware-dimensionality-reduction-by-semidefinite-programming-1812.02768</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/squeezefit-label-aware-dimensionality-reduction-by-semidefinite-programming-1812.02768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/squeezefit-label-aware-dimensionality-reduction-by-semidefinite-programming-1812.02768"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-disentanglement-in-variational-autoencoders-1812.02833</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-disentanglement-in-variational-autoencoders-1812.02833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-disentanglement-in-variational-autoencoders-1812.02833"/></url>
<url><loc>https://scifaro.com/en/abs/three-tools-for-practical-differential-privacy-1812.02890</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/three-tools-for-practical-differential-privacy-1812.02890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/three-tools-for-practical-differential-privacy-1812.02890"/></url>
<url><loc>https://scifaro.com/en/abs/when-bifidelity-meets-cokriging-an-efficient-physics-informed-multifidelity-method-1812.02919</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-bifidelity-meets-cokriging-an-efficient-physics-informed-multifidelity-method-1812.02919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-bifidelity-meets-cokriging-an-efficient-physics-informed-multifidelity-method-1812.02919"/></url>
<url><loc>https://scifaro.com/en/abs/physics-informed-deep-generative-models-1812.03511</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-deep-generative-models-1812.03511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-deep-generative-models-1812.03511"/></url>
<url><loc>https://scifaro.com/en/abs/closed-form-inference-and-prediction-in-gaussian-process-state-space-models-1812.03580</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/closed-form-inference-and-prediction-in-gaussian-process-state-space-models-1812.03580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/closed-form-inference-and-prediction-in-gaussian-process-state-space-models-1812.03580"/></url>
<url><loc>https://scifaro.com/en/abs/fast-convergence-rates-of-deep-neural-networks-for-classification-1812.03599</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-convergence-rates-of-deep-neural-networks-for-classification-1812.03599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-convergence-rates-of-deep-neural-networks-for-classification-1812.03599"/></url>
<url><loc>https://scifaro.com/en/abs/stagewise-training-accelerates-convergence-of-testing-error-over-sgd-1812.03934</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stagewise-training-accelerates-convergence-of-testing-error-over-sgd-1812.03934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stagewise-training-accelerates-convergence-of-testing-error-over-sgd-1812.03934"/></url>
<url><loc>https://scifaro.com/en/abs/disentangled-dynamic-representations-from-unordered-data-1812.03962</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangled-dynamic-representations-from-unordered-data-1812.03962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangled-dynamic-representations-from-unordered-data-1812.03962"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bayesian-weighted-complex-network-reconstruction-1812.04369</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayesian-weighted-complex-network-reconstruction-1812.04369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayesian-weighted-complex-network-reconstruction-1812.04369"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-component-separation-from-poisson-measurements-1812.04370</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-component-separation-from-poisson-measurements-1812.04370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-component-separation-from-poisson-measurements-1812.04370"/></url>
<url><loc>https://scifaro.com/en/abs/from-adaptive-kernel-density-estimation-to-sparse-mixture-models-1812.04397</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-adaptive-kernel-density-estimation-to-sparse-mixture-models-1812.04397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-adaptive-kernel-density-estimation-to-sparse-mixture-models-1812.04397"/></url>
<url><loc>https://scifaro.com/en/abs/encoding-prior-knowledge-in-the-structure-of-the-likelihood-1812.04403</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/encoding-prior-knowledge-in-the-structure-of-the-likelihood-1812.04403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/encoding-prior-knowledge-in-the-structure-of-the-likelihood-1812.04403"/></url>
<url><loc>https://scifaro.com/en/abs/bounding-the-error-from-reference-set-kernel-maximum-mean-discrepancy-1812.04594</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounding-the-error-from-reference-set-kernel-maximum-mean-discrepancy-1812.04594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounding-the-error-from-reference-set-kernel-maximum-mean-discrepancy-1812.04594"/></url>
<url><loc>https://scifaro.com/en/abs/preventing-failures-due-to-dataset-shift-learning-predictive-models-that-transport-1812.04597</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preventing-failures-due-to-dataset-shift-learning-predictive-models-that-transport-1812.04597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preventing-failures-due-to-dataset-shift-learning-predictive-models-that-transport-1812.04597"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-learning-on-hidden-tree-structured-ising-models-1812.04700</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-learning-on-hidden-tree-structured-ising-models-1812.04700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-learning-on-hidden-tree-structured-ising-models-1812.04700"/></url>
<url><loc>https://scifaro.com/en/abs/can-i-trust-you-more-model-agnostic-hierarchical-explanations-1812.04801</loc><lastmod>2018-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-i-trust-you-more-model-agnostic-hierarchical-explanations-1812.04801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-i-trust-you-more-model-agnostic-hierarchical-explanations-1812.04801"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-treelets-1812.04808</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-treelets-1812.04808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-treelets-1812.04808"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-deep-neural-networks-for-low-cost-neurophysiological-markers-of-alzheimer-s-disease-severity-1812.04994</loc><lastmod>2018-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-deep-neural-networks-for-low-cost-neurophysiological-markers-of-alzheimer-s-disease-severity-1812.04994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-deep-neural-networks-for-low-cost-neurophysiological-markers-of-alzheimer-s-disease-severity-1812.04994"/></url>
<url><loc>https://scifaro.com/en/abs/neural-processes-mixed-effect-models-for-deep-normative-modeling-of-clinical-neuroimaging-data-1812.04998</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-processes-mixed-effect-models-for-deep-normative-modeling-of-clinical-neuroimaging-data-1812.04998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-processes-mixed-effect-models-for-deep-normative-modeling-of-clinical-neuroimaging-data-1812.04998"/></url>
<url><loc>https://scifaro.com/en/abs/on-distributed-multi-player-multiarmed-bandit-problems-in-abruptly-changing-environment-1812.05165</loc><lastmod>2018-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-distributed-multi-player-multiarmed-bandit-problems-in-abruptly-changing-environment-1812.05165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-distributed-multi-player-multiarmed-bandit-problems-in-abruptly-changing-environment-1812.05165"/></url>
<url><loc>https://scifaro.com/en/abs/massively-scalable-sinkhorn-distances-via-the-nystr-om-method-1812.05189</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/massively-scalable-sinkhorn-distances-via-the-nystr-om-method-1812.05189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/massively-scalable-sinkhorn-distances-via-the-nystr-om-method-1812.05189"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-differences-between-l2-boosting-and-the-lasso-1812.05421</loc><lastmod>2018-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-differences-between-l2-boosting-and-the-lasso-1812.05421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-differences-between-l2-boosting-and-the-lasso-1812.05421"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-deep-belief-networks-a-smooth-generative-model-of-shape-with-uncertainty-propagation-1812.05477</loc><lastmod>2018-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-deep-belief-networks-a-smooth-generative-model-of-shape-with-uncertainty-propagation-1812.05477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-deep-belief-networks-a-smooth-generative-model-of-shape-with-uncertainty-propagation-1812.05477"/></url>
<url><loc>https://scifaro.com/en/abs/analytically-embedding-differential-equation-constraints-into-least-squares-support-vector-machines-using-the-theory-of-functional-connections-1812.05571</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analytically-embedding-differential-equation-constraints-into-least-squares-support-vector-machines-using-the-theory-of-functional-connections-1812.05571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analytically-embedding-differential-equation-constraints-into-least-squares-support-vector-machines-using-the-theory-of-functional-connections-1812.05571"/></url>
<url><loc>https://scifaro.com/en/abs/making-sense-of-random-forest-probabilities-a-kernel-perspective-1812.05792</loc><lastmod>2018-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-sense-of-random-forest-probabilities-a-kernel-perspective-1812.05792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-sense-of-random-forest-probabilities-a-kernel-perspective-1812.05792"/></url>
<url><loc>https://scifaro.com/en/abs/adaflow-domain-adaptive-density-estimator-with-application-to-anomaly-detection-and-unpaired-cross-domain-translation-1812.05796</loc><lastmod>2019-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaflow-domain-adaptive-density-estimator-with-application-to-anomaly-detection-and-unpaired-cross-domain-translation-1812.05796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaflow-domain-adaptive-density-estimator-with-application-to-anomaly-detection-and-unpaired-cross-domain-translation-1812.05796"/></url>
<url><loc>https://scifaro.com/en/abs/non-factorised-variational-inference-in-dynamical-systems-1812.06067</loc><lastmod>2018-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-factorised-variational-inference-in-dynamical-systems-1812.06067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-factorised-variational-inference-in-dynamical-systems-1812.06067"/></url>
<url><loc>https://scifaro.com/en/abs/extending-classical-surrogate-modelling-to-high-dimensions-through-supervised-dimensionality-reduction-a-data-driven-approach-1812.06309</loc><lastmod>2020-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extending-classical-surrogate-modelling-to-high-dimensions-through-supervised-dimensionality-reduction-a-data-driven-approach-1812.06309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extending-classical-surrogate-modelling-to-high-dimensions-through-supervised-dimensionality-reduction-a-data-driven-approach-1812.06309"/></url>
<url><loc>https://scifaro.com/en/abs/connecting-spectral-clustering-to-maximum-margins-and-level-sets-1812.06397</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/connecting-spectral-clustering-to-maximum-margins-and-level-sets-1812.06397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/connecting-spectral-clustering-to-maximum-margins-and-level-sets-1812.06397"/></url>
<url><loc>https://scifaro.com/en/abs/linking-gaussian-process-regression-with-data-driven-manifold-embeddings-for-nonlinear-data-fusion-1812.06467</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linking-gaussian-process-regression-with-data-driven-manifold-embeddings-for-nonlinear-data-fusion-1812.06467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linking-gaussian-process-regression-with-data-driven-manifold-embeddings-for-nonlinear-data-fusion-1812.06467"/></url>
<url><loc>https://scifaro.com/en/abs/classification-using-ensemble-learning-under-weighted-misclassification-loss-1812.06507</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-using-ensemble-learning-under-weighted-misclassification-loss-1812.06507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-using-ensemble-learning-under-weighted-misclassification-loss-1812.06507"/></url>
<url><loc>https://scifaro.com/en/abs/higher-order-spectral-clustering-under-superimposed-stochastic-block-model-1812.06515</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/higher-order-spectral-clustering-under-superimposed-stochastic-block-model-1812.06515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/higher-order-spectral-clustering-under-superimposed-stochastic-block-model-1812.06515"/></url>
<url><loc>https://scifaro.com/en/abs/smart-an-open-source-data-labeling-platform-for-supervised-learning-1812.06591</loc><lastmod>2023-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smart-an-open-source-data-labeling-platform-for-supervised-learning-1812.06591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smart-an-open-source-data-labeling-platform-for-supervised-learning-1812.06591"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-mean-parameterized-nonnegative-binary-matrix-factorization-1812.06866</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-mean-parameterized-nonnegative-binary-matrix-factorization-1812.06866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-mean-parameterized-nonnegative-binary-matrix-factorization-1812.06866"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-robust-parameterization-for-conditioning-facies-models-using-deep-variational-autoencoders-and-ensemble-smoother-1812.06900</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-robust-parameterization-for-conditioning-facies-models-using-deep-variational-autoencoders-and-ensemble-smoother-1812.06900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-robust-parameterization-for-conditioning-facies-models-using-deep-variational-autoencoders-and-ensemble-smoother-1812.06900"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adaptation-on-graphs-by-learning-graph-topologies-theoretical-analysis-and-an-algorithm-1812.06944</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adaptation-on-graphs-by-learning-graph-topologies-theoretical-analysis-and-an-algorithm-1812.06944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adaptation-on-graphs-by-learning-graph-topologies-theoretical-analysis-and-an-algorithm-1812.06944"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-scattering-on-manifolds-1812.06968</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-scattering-on-manifolds-1812.06968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-scattering-on-manifolds-1812.06968"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-and-interpretation-using-multimodal-autoencoder-and-sparse-optimization-1812.07136</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-and-interpretation-using-multimodal-autoencoder-and-sparse-optimization-1812.07136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-and-interpretation-using-multimodal-autoencoder-and-sparse-optimization-1812.07136"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-the-squared-exponential-covariance-function-in-gaussian-processes-with-integral-observations-1812.07319</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-the-squared-exponential-covariance-function-in-gaussian-processes-with-integral-observations-1812.07319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-the-squared-exponential-covariance-function-in-gaussian-processes-with-integral-observations-1812.07319"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-variational-autoencoder-with-applications-to-generative-modelling-classification-and-ordinal-regression-1812.07352</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-variational-autoencoder-with-applications-to-generative-modelling-classification-and-ordinal-regression-1812.07352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-variational-autoencoder-with-applications-to-generative-modelling-classification-and-ordinal-regression-1812.07352"/></url>
<url><loc>https://scifaro.com/en/abs/a-factorial-mixture-prior-for-compositional-deep-generative-models-1812.07480</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-factorial-mixture-prior-for-compositional-deep-generative-models-1812.07480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-factorial-mixture-prior-for-compositional-deep-generative-models-1812.07480"/></url>
<url><loc>https://scifaro.com/en/abs/consistent-robust-adversarial-prediction-for-general-multiclass-classification-1812.07526</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-robust-adversarial-prediction-for-general-multiclass-classification-1812.07526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-robust-adversarial-prediction-for-general-multiclass-classification-1812.07526"/></url>
<url><loc>https://scifaro.com/en/abs/fast-exact-computation-of-expected-hypervolume-improvement-1812.07692</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-exact-computation-of-expected-hypervolume-improvement-1812.07692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-exact-computation-of-expected-hypervolume-improvement-1812.07692"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-completion-under-low-rank-missing-mechanism-1812.07813</loc><lastmod>2020-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-completion-under-low-rank-missing-mechanism-1812.07813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-completion-under-low-rank-missing-mechanism-1812.07813"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-study-of-generative-models-with-encoders-1812.07909</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-study-of-generative-models-with-encoders-1812.07909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-study-of-generative-models-with-encoders-1812.07909"/></url>
<url><loc>https://scifaro.com/en/abs/fast-approximate-geodesics-for-deep-generative-models-1812.08284</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-approximate-geodesics-for-deep-generative-models-1812.08284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-approximate-geodesics-for-deep-generative-models-1812.08284"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-interaction-with-sparse-additive-effects-model-for-large-data-frames-1812.08398</loc><lastmod>2018-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-interaction-with-sparse-additive-effects-model-for-large-data-frames-1812.08398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-interaction-with-sparse-additive-effects-model-for-large-data-frames-1812.08398"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-assisted-bayesian-inversion-for-landscape-and-basin-evolution-models-1812.08655</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-assisted-bayesian-inversion-for-landscape-and-basin-evolution-models-1812.08655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-assisted-bayesian-inversion-for-landscape-and-basin-evolution-models-1812.08655"/></url>
<url><loc>https://scifaro.com/en/abs/a-method-to-facilitate-cancer-detection-and-type-classification-from-gene-expression-data-using-a-deep-autoencoder-and-neural-network-1812.08674</loc><lastmod>2018-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-method-to-facilitate-cancer-detection-and-type-classification-from-gene-expression-data-using-a-deep-autoencoder-and-neural-network-1812.08674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-method-to-facilitate-cancer-detection-and-type-classification-from-gene-expression-data-using-a-deep-autoencoder-and-neural-network-1812.08674"/></url>
<url><loc>https://scifaro.com/en/abs/heteroscedastic-gaussian-processes-for-uncertainty-modeling-in-large-scale-crowdsourced-traffic-data-1812.08733</loc><lastmod>2018-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heteroscedastic-gaussian-processes-for-uncertainty-modeling-in-large-scale-crowdsourced-traffic-data-1812.08733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heteroscedastic-gaussian-processes-for-uncertainty-modeling-in-large-scale-crowdsourced-traffic-data-1812.08733"/></url>
<url><loc>https://scifaro.com/en/abs/multi-output-gaussian-processes-for-crowdsourced-traffic-data-imputation-1812.08739</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-output-gaussian-processes-for-crowdsourced-traffic-data-imputation-1812.08739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-output-gaussian-processes-for-crowdsourced-traffic-data-imputation-1812.08739"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-additive-model-for-understanding-public-transport-usage-in-special-events-1812.08755</loc><lastmod>2018-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-additive-model-for-understanding-public-transport-usage-in-special-events-1812.08755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-additive-model-for-understanding-public-transport-usage-in-special-events-1812.08755"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-sampling-ratios-improves-bagging-in-sparse-regression-1812.08808</loc><lastmod>2019-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-sampling-ratios-improves-bagging-in-sparse-regression-1812.08808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-sampling-ratios-improves-bagging-in-sparse-regression-1812.08808"/></url>
<url><loc>https://scifaro.com/en/abs/calibrating-multivariate-l-evy-processes-with-neural-networks-1812.08883</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrating-multivariate-l-evy-processes-with-neural-networks-1812.08883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrating-multivariate-l-evy-processes-with-neural-networks-1812.08883"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-approximation-of-linear-maps-1812.09042</loc><lastmod>2023-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-approximation-of-linear-maps-1812.09042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-approximation-of-linear-maps-1812.09042"/></url>
<url><loc>https://scifaro.com/en/abs/ecological-data-analysis-based-on-machine-learning-algorithms-1812.09138</loc><lastmod>2018-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ecological-data-analysis-based-on-machine-learning-algorithms-1812.09138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ecological-data-analysis-based-on-machine-learning-algorithms-1812.09138"/></url>
<url><loc>https://scifaro.com/en/abs/persistence-bag-of-words-for-topological-data-analysis-1812.09245</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/persistence-bag-of-words-for-topological-data-analysis-1812.09245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/persistence-bag-of-words-for-topological-data-analysis-1812.09245"/></url>
<url><loc>https://scifaro.com/en/abs/deep-autoregressive-neural-networks-for-high-dimensional-inverse-problems-in-groundwater-contaminant-source-identification-1812.09444</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-autoregressive-neural-networks-for-high-dimensional-inverse-problems-in-groundwater-contaminant-source-identification-1812.09444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-autoregressive-neural-networks-for-high-dimensional-inverse-problems-in-groundwater-contaminant-source-identification-1812.09444"/></url>
<url><loc>https://scifaro.com/en/abs/learning-finite-dimensional-coding-schemes-with-nonlinear-reconstruction-maps-1812.09658</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-finite-dimensional-coding-schemes-with-nonlinear-reconstruction-maps-1812.09658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-finite-dimensional-coding-schemes-with-nonlinear-reconstruction-maps-1812.09658"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-discrete-choice-models-with-representation-learning-1812.09747</loc><lastmod>2020-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-discrete-choice-models-with-representation-learning-1812.09747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-discrete-choice-models-with-representation-learning-1812.09747"/></url>
<url><loc>https://scifaro.com/en/abs/a-determinantal-point-process-for-column-subset-selection-1812.09771</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-determinantal-point-process-for-column-subset-selection-1812.09771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-determinantal-point-process-for-column-subset-selection-1812.09771"/></url>
<url><loc>https://scifaro.com/en/abs/guessing-smart-biased-sampling-for-efficient-black-box-adversarial-attacks-1812.09803</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guessing-smart-biased-sampling-for-efficient-black-box-adversarial-attacks-1812.09803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guessing-smart-biased-sampling-for-efficient-black-box-adversarial-attacks-1812.09803"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-model-for-bivariate-causal-inference-1812.09895</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-model-for-bivariate-causal-inference-1812.09895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-model-for-bivariate-causal-inference-1812.09895"/></url>
<url><loc>https://scifaro.com/en/abs/random-deep-neural-networks-are-biased-towards-simple-functions-1812.10156</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-deep-neural-networks-are-biased-towards-simple-functions-1812.10156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-deep-neural-networks-are-biased-towards-simple-functions-1812.10156"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-model-aggregation-for-production-forecasting-1812.10389</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-model-aggregation-for-production-forecasting-1812.10389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-model-aggregation-for-production-forecasting-1812.10389"/></url>
<url><loc>https://scifaro.com/en/abs/large-multistream-data-analytics-for-monitoring-and-diagnostics-in-manufacturing-systems-1812.10430</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-multistream-data-analytics-for-monitoring-and-diagnostics-in-manufacturing-systems-1812.10430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-multistream-data-analytics-for-monitoring-and-diagnostics-in-manufacturing-systems-1812.10430"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-likelihood-estimation-and-graph-matching-in-errorfully-observed-networks-1812.10519</loc><lastmod>2020-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-likelihood-estimation-and-graph-matching-in-errorfully-observed-networks-1812.10519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-likelihood-estimation-and-graph-matching-in-errorfully-observed-networks-1812.10519"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-autoencoders-learning-compressed-representations-via-variational-information-maximization-1812.10539</loc><lastmod>2019-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-autoencoders-learning-compressed-representations-via-variational-information-maximization-1812.10539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-autoencoders-learning-compressed-representations-via-variational-information-maximization-1812.10539"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-score-matching-for-non-negative-data-1812.10551</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-score-matching-for-non-negative-data-1812.10551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-score-matching-for-non-negative-data-1812.10551"/></url>
<url><loc>https://scifaro.com/en/abs/learning-dynamic-generator-model-by-alternating-back-propagation-through-time-1812.10587</loc><lastmod>2018-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-dynamic-generator-model-by-alternating-back-propagation-through-time-1812.10587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-dynamic-generator-model-by-alternating-back-propagation-through-time-1812.10587"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-nonnegative-candecomp-parafac-decomposition-in-block-coordinate-descent-framework-a-comparison-study-1812.10637</loc><lastmod>2018-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-nonnegative-candecomp-parafac-decomposition-in-block-coordinate-descent-framework-a-comparison-study-1812.10637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-nonnegative-candecomp-parafac-decomposition-in-block-coordinate-descent-framework-a-comparison-study-1812.10637"/></url>
<url><loc>https://scifaro.com/en/abs/topological-constraints-on-homeomorphic-auto-encoding-1812.10783</loc><lastmod>2018-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topological-constraints-on-homeomorphic-auto-encoding-1812.10783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topological-constraints-on-homeomorphic-auto-encoding-1812.10783"/></url>
<url><loc>https://scifaro.com/en/abs/divergence-triangle-for-joint-training-of-generator-model-energy-based-model-and-inference-model-1812.10907</loc><lastmod>2019-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/divergence-triangle-for-joint-training-of-generator-model-energy-based-model-and-inference-model-1812.10907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/divergence-triangle-for-joint-training-of-generator-model-energy-based-model-and-inference-model-1812.10907"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-with-proxies-transfer-learning-in-high-dimension-1812.11097</loc><lastmod>2020-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-with-proxies-transfer-learning-in-high-dimension-1812.11097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-with-proxies-transfer-learning-in-high-dimension-1812.11097"/></url>
<url><loc>https://scifaro.com/en/abs/reconciling-modern-machine-learning-practice-and-the-bias-variance-trade-off-1812.11118</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconciling-modern-machine-learning-practice-and-the-bias-variance-trade-off-1812.11118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconciling-modern-machine-learning-practice-and-the-bias-variance-trade-off-1812.11118"/></url>
<url><loc>https://scifaro.com/en/abs/consistency-of-interpolation-with-laplace-kernels-is-a-high-dimensional-phenomenon-1812.11167</loc><lastmod>2018-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistency-of-interpolation-with-laplace-kernels-is-a-high-dimensional-phenomenon-1812.11167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistency-of-interpolation-with-laplace-kernels-is-a-high-dimensional-phenomenon-1812.11167"/></url>
<url><loc>https://scifaro.com/en/abs/imputation-and-low-rank-estimation-with-missing-not-at-random-data-1812.11409</loc><lastmod>2020-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imputation-and-low-rank-estimation-with-missing-not-at-random-data-1812.11409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imputation-and-low-rank-estimation-with-missing-not-at-random-data-1812.11409"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-arrival-times-with-recurrent-neural-networks-for-personalized-demand-forecasting-1812.11444</loc><lastmod>2019-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-arrival-times-with-recurrent-neural-networks-for-personalized-demand-forecasting-1812.11444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-arrival-times-with-recurrent-neural-networks-for-personalized-demand-forecasting-1812.11444"/></url>
<url><loc>https://scifaro.com/en/abs/k-nearest-neighbor-search-by-random-projection-forests-1812.11689</loc><lastmod>2020-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-nearest-neighbor-search-by-random-projection-forests-1812.11689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-nearest-neighbor-search-by-random-projection-forests-1812.11689"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-inference-for-multiplicative-latent-force-models-1812.11755</loc><lastmod>2019-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-inference-for-multiplicative-latent-force-models-1812.11755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-inference-for-multiplicative-latent-force-models-1812.11755"/></url>
<url><loc>https://scifaro.com/en/abs/learning-rums-reducing-mixture-to-single-component-via-pca-1812.11917</loc><lastmod>2020-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-rums-reducing-mixture-to-single-component-via-pca-1812.11917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-rums-reducing-mixture-to-single-component-via-pca-1812.11917"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-quantile-low-rank-matrix-factorization-1901.00140</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-quantile-low-rank-matrix-factorization-1901.00140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-quantile-low-rank-matrix-factorization-1901.00140"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-mm-algorithms-for-ranking-scores-inference-from-comparison-data-1901.00150</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-mm-algorithms-for-ranking-scores-inference-from-comparison-data-1901.00150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-mm-algorithms-for-ranking-scores-inference-from-comparison-data-1901.00150"/></url>
<url><loc>https://scifaro.com/en/abs/a-weighted-random-survival-forest-1901.00213</loc><lastmod>2019-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-weighted-random-survival-forest-1901.00213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-weighted-random-survival-forest-1901.00213"/></url>
<url><loc>https://scifaro.com/en/abs/an-automatic-interaction-detection-hybrid-model-for-bankcard-response-classification-1901.00251</loc><lastmod>2019-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-automatic-interaction-detection-hybrid-model-for-bankcard-response-classification-1901.00251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-automatic-interaction-detection-hybrid-model-for-bankcard-response-classification-1901.00251"/></url>
<url><loc>https://scifaro.com/en/abs/can-you-trust-this-prediction-auditing-pointwise-reliability-after-learning-1901.00403</loc><lastmod>2019-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-you-trust-this-prediction-auditing-pointwise-reliability-after-learning-1901.00403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-you-trust-this-prediction-auditing-pointwise-reliability-after-learning-1901.00403"/></url>
<url><loc>https://scifaro.com/en/abs/neural-clustering-processes-1901.00409</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-clustering-processes-1901.00409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-clustering-processes-1901.00409"/></url>
<url><loc>https://scifaro.com/en/abs/causal-calculus-in-the-presence-of-cycles-latent-confounders-and-selection-bias-1901.00433</loc><lastmod>2022-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-calculus-in-the-presence-of-cycles-latent-confounders-and-selection-bias-1901.00433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-calculus-in-the-presence-of-cycles-latent-confounders-and-selection-bias-1901.00433"/></url>
<url><loc>https://scifaro.com/en/abs/structure-learning-via-unstructured-kernel-based-m-regression-1901.00615</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-learning-via-unstructured-kernel-based-m-regression-1901.00615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-learning-via-unstructured-kernel-based-m-regression-1901.00615"/></url>
<url><loc>https://scifaro.com/en/abs/projecting-better-than-randomly-how-to-reduce-the-dimensionality-of-very-large-datasets-in-a-way-that-outperforms-random-projections-1901.00630</loc><lastmod>2019-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projecting-better-than-randomly-how-to-reduce-the-dimensionality-of-very-large-datasets-in-a-way-that-outperforms-random-projections-1901.00630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projecting-better-than-randomly-how-to-reduce-the-dimensionality-of-very-large-datasets-in-a-way-that-outperforms-random-projections-1901.00630"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-generator-model-from-terminal-bus-data-1901.00781</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-generator-model-from-terminal-bus-data-1901.00781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-generator-model-from-terminal-bus-data-1901.00781"/></url>
<url><loc>https://scifaro.com/en/abs/fast-multi-class-probabilistic-classifier-by-sparse-non-parametric-density-estimation-1901.01000</loc><lastmod>2019-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-multi-class-probabilistic-classifier-by-sparse-non-parametric-density-estimation-1901.01000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-multi-class-probabilistic-classifier-by-sparse-non-parametric-density-estimation-1901.01000"/></url>
<url><loc>https://scifaro.com/en/abs/multi-product-dynamic-pricing-in-high-dimensions-with-heterogeneous-price-sensitivity-1901.01030</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-product-dynamic-pricing-in-high-dimensions-with-heterogeneous-price-sensitivity-1901.01030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-product-dynamic-pricing-in-high-dimensions-with-heterogeneous-price-sensitivity-1901.01030"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-weighted-deep-forest-classifier-1901.01334</loc><lastmod>2019-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-weighted-deep-forest-classifier-1901.01334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-weighted-deep-forest-classifier-1901.01334"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-visualization-and-fast-computation-for-convex-clustering-via-algorithmic-regularization-1901.01477</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-visualization-and-fast-computation-for-convex-clustering-via-algorithmic-regularization-1901.01477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-visualization-and-fast-computation-for-convex-clustering-via-algorithmic-regularization-1901.01477"/></url>
<url><loc>https://scifaro.com/en/abs/solving-l1-regularized-svms-and-related-linear-programs-revisiting-the-effectiveness-of-column-and-constraint-generation-1901.01585</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-l1-regularized-svms-and-related-linear-programs-revisiting-the-effectiveness-of-column-and-constraint-generation-1901.01585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-l1-regularized-svms-and-related-linear-programs-revisiting-the-effectiveness-of-column-and-constraint-generation-1901.01585"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-in-unbalanced-and-heterogeneous-networks-1901.01696</loc><lastmod>2019-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-in-unbalanced-and-heterogeneous-networks-1901.01696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-in-unbalanced-and-heterogeneous-networks-1901.01696"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-partition-comparison-indices-based-on-counting-object-pairs-1901.01777</loc><lastmod>2019-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-partition-comparison-indices-based-on-counting-object-pairs-1901.01777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-partition-comparison-indices-based-on-counting-object-pairs-1901.01777"/></url>
<url><loc>https://scifaro.com/en/abs/dppnet-approximating-determinantal-point-processes-with-deep-networks-1901.02051</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dppnet-approximating-determinantal-point-processes-with-deep-networks-1901.02051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dppnet-approximating-determinantal-point-processes-with-deep-networks-1901.02051"/></url>
<url><loc>https://scifaro.com/en/abs/comments-on-deep-neural-networks-with-random-gaussian-weights-a-universal-classification-strategy-1901.02182</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comments-on-deep-neural-networks-with-random-gaussian-weights-a-universal-classification-strategy-1901.02182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comments-on-deep-neural-networks-with-random-gaussian-weights-a-universal-classification-strategy-1901.02182"/></url>
<url><loc>https://scifaro.com/en/abs/tree-tensor-networks-for-generative-modeling-1901.02217</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tree-tensor-networks-for-generative-modeling-1901.02217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tree-tensor-networks-for-generative-modeling-1901.02217"/></url>
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<url><loc>https://scifaro.com/en/abs/graphical-model-inference-sequential-monte-carlo-meets-deterministic-approximations-1901.02374</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphical-model-inference-sequential-monte-carlo-meets-deterministic-approximations-1901.02374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphical-model-inference-sequential-monte-carlo-meets-deterministic-approximations-1901.02374"/></url>
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<url><loc>https://scifaro.com/en/abs/variable-importance-clouds-a-way-to-explore-variable-importance-for-the-set-of-good-models-1901.03209</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-importance-clouds-a-way-to-explore-variable-importance-for-the-set-of-good-models-1901.03209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-importance-clouds-a-way-to-explore-variable-importance-for-the-set-of-good-models-1901.03209"/></url>
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<url><loc>https://scifaro.com/en/abs/undirected-graphical-models-as-approximate-posteriors-1901.03440</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/undirected-graphical-models-as-approximate-posteriors-1901.03440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/undirected-graphical-models-as-approximate-posteriors-1901.03440"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-ranking-response-surfaces-with-applications-to-optimal-stopping-problems-1901.03478</loc><lastmod>2020-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-ranking-response-surfaces-with-applications-to-optimal-stopping-problems-1901.03478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-ranking-response-surfaces-with-applications-to-optimal-stopping-problems-1901.03478"/></url>
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<url><loc>https://scifaro.com/en/abs/towards-testing-of-deep-learning-systems-with-training-set-reduction-1901.04169</loc><lastmod>2019-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-testing-of-deep-learning-systems-with-training-set-reduction-1901.04169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-testing-of-deep-learning-systems-with-training-set-reduction-1901.04169"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-learning-for-multi-block-incomplete-data-1901.04380</loc><lastmod>2019-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-learning-for-multi-block-incomplete-data-1901.04380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-learning-for-multi-block-incomplete-data-1901.04380"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-learning-of-neural-network-architectures-1901.04436</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-learning-of-neural-network-architectures-1901.04436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-learning-of-neural-network-architectures-1901.04436"/></url>
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<url><loc>https://scifaro.com/en/abs/interpretable-machine-learning-definitions-methods-and-applications-1901.04592</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-machine-learning-definitions-methods-and-applications-1901.04592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-machine-learning-definitions-methods-and-applications-1901.04592"/></url>
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<url><loc>https://scifaro.com/en/abs/optimized-realization-of-bayesian-networks-in-reduced-normal-form-using-latent-variable-model-1901.06201</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimized-realization-of-bayesian-networks-in-reduced-normal-form-using-latent-variable-model-1901.06201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimized-realization-of-bayesian-networks-in-reduced-normal-form-using-latent-variable-model-1901.06201"/></url>
<url><loc>https://scifaro.com/en/abs/foothill-a-quasiconvex-regularization-for-edge-computing-of-deep-neural-networks-1901.06414</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/foothill-a-quasiconvex-regularization-for-edge-computing-of-deep-neural-networks-1901.06414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/foothill-a-quasiconvex-regularization-for-edge-computing-of-deep-neural-networks-1901.06414"/></url>
<url><loc>https://scifaro.com/en/abs/a-bi-partite-generative-model-framework-for-analyzing-and-simulating-large-scale-multiple-discrete-continuous-travel-behaviour-data-1901.06415</loc><lastmod>2020-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bi-partite-generative-model-framework-for-analyzing-and-simulating-large-scale-multiple-discrete-continuous-travel-behaviour-data-1901.06415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bi-partite-generative-model-framework-for-analyzing-and-simulating-large-scale-multiple-discrete-continuous-travel-behaviour-data-1901.06415"/></url>
<url><loc>https://scifaro.com/en/abs/training-neural-networks-with-local-error-signals-1901.06656</loc><lastmod>2019-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-neural-networks-with-local-error-signals-1901.06656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-neural-networks-with-local-error-signals-1901.06656"/></url>
<url><loc>https://scifaro.com/en/abs/training-neural-networks-as-learning-data-adaptive-kernels-provable-representation-and-approximation-benefits-1901.07114</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-neural-networks-as-learning-data-adaptive-kernels-provable-representation-and-approximation-benefits-1901.07114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-neural-networks-as-learning-data-adaptive-kernels-provable-representation-and-approximation-benefits-1901.07114"/></url>
<url><loc>https://scifaro.com/en/abs/sensitivity-analysis-of-deep-neural-networks-1901.07152</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sensitivity-analysis-of-deep-neural-networks-1901.07152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sensitivity-analysis-of-deep-neural-networks-1901.07152"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-robust-shortest-paths-on-manifolds-learned-from-data-1901.07229</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-robust-shortest-paths-on-manifolds-learned-from-data-1901.07229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-robust-shortest-paths-on-manifolds-learned-from-data-1901.07229"/></url>
<url><loc>https://scifaro.com/en/abs/online-estimation-of-multiple-dynamic-graphs-in-pattern-sequences-1901.07298</loc><lastmod>2019-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-estimation-of-multiple-dynamic-graphs-in-pattern-sequences-1901.07298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-estimation-of-multiple-dynamic-graphs-in-pattern-sequences-1901.07298"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-linear-convergence-of-stochastic-momentum-methods-in-wasserstein-distances-1901.07445</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-linear-convergence-of-stochastic-momentum-methods-in-wasserstein-distances-1901.07445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-linear-convergence-of-stochastic-momentum-methods-in-wasserstein-distances-1901.07445"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-weighted-chebyshev-approximations-for-support-estimation-1901.07506</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-weighted-chebyshev-approximations-for-support-estimation-1901.07506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-weighted-chebyshev-approximations-for-support-estimation-1901.07506"/></url>
<url><loc>https://scifaro.com/en/abs/aggregated-pairwise-classification-of-statistical-shapes-1901.07593</loc><lastmod>2019-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aggregated-pairwise-classification-of-statistical-shapes-1901.07593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aggregated-pairwise-classification-of-statistical-shapes-1901.07593"/></url>
<url><loc>https://scifaro.com/en/abs/unified-estimation-framework-for-unnormalized-models-with-statistical-efficiency-1901.07710</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unified-estimation-framework-for-unnormalized-models-with-statistical-efficiency-1901.07710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unified-estimation-framework-for-unnormalized-models-with-statistical-efficiency-1901.07710"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-trees-1901.07777</loc><lastmod>2019-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-trees-1901.07777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-trees-1901.07777"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-on-quantile-regression-for-stochastic-computer-experiments-1901.07874</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-on-quantile-regression-for-stochastic-computer-experiments-1901.07874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-on-quantile-regression-for-stochastic-computer-experiments-1901.07874"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-principal-component-analysis-exact-implementation-and-continuity-corrections-1901.07922</loc><lastmod>2019-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-principal-component-analysis-exact-implementation-and-continuity-corrections-1901.07922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-principal-component-analysis-exact-implementation-and-continuity-corrections-1901.07922"/></url>
<url><loc>https://scifaro.com/en/abs/coupling-the-reduced-order-model-and-the-generative-model-for-an-importance-sampling-estimator-1901.07977</loc><lastmod>2024-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coupling-the-reduced-order-model-and-the-generative-model-for-an-importance-sampling-estimator-1901.07977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coupling-the-reduced-order-model-and-the-generative-model-for-an-importance-sampling-estimator-1901.07977"/></url>
<url><loc>https://scifaro.com/en/abs/stein-variational-online-changepoint-detection-with-applications-to-hawkes-processes-and-neural-networks-1901.07987</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stein-variational-online-changepoint-detection-with-applications-to-hawkes-processes-and-neural-networks-1901.07987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stein-variational-online-changepoint-detection-with-applications-to-hawkes-processes-and-neural-networks-1901.07987"/></url>
<url><loc>https://scifaro.com/en/abs/hamiltonian-monte-carlo-for-orthogonal-matrices-1901.08045</loc><lastmod>2019-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hamiltonian-monte-carlo-for-orthogonal-matrices-1901.08045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hamiltonian-monte-carlo-for-orthogonal-matrices-1901.08045"/></url>
<url><loc>https://scifaro.com/en/abs/large-dimensional-analysis-of-general-margin-based-classification-methods-1901.08057</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-dimensional-analysis-of-general-margin-based-classification-methods-1901.08057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-dimensional-analysis-of-general-margin-based-classification-methods-1901.08057"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-neural-filters-learning-independent-bayesian-filtering-steps-for-time-series-prediction-1901.08096</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-neural-filters-learning-independent-bayesian-filtering-steps-for-time-series-prediction-1901.08096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-neural-filters-learning-independent-bayesian-filtering-steps-for-time-series-prediction-1901.08096"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-mean-functions-for-gaussian-processes-1901.08098</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-mean-functions-for-gaussian-processes-1901.08098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-mean-functions-for-gaussian-processes-1901.08098"/></url>
<url><loc>https://scifaro.com/en/abs/veridical-data-science-1901.08152</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/veridical-data-science-1901.08152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/veridical-data-science-1901.08152"/></url>
<url><loc>https://scifaro.com/en/abs/multi-fidelity-bayesian-optimization-with-max-value-entropy-search-and-its-parallelization-1901.08275</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-fidelity-bayesian-optimization-with-max-value-entropy-search-and-its-parallelization-1901.08275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-fidelity-bayesian-optimization-with-max-value-entropy-search-and-its-parallelization-1901.08275"/></url>
<url><loc>https://scifaro.com/en/abs/faking-fairness-via-stealthily-biased-sampling-1901.08291</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faking-fairness-via-stealthily-biased-sampling-1901.08291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faking-fairness-via-stealthily-biased-sampling-1901.08291"/></url>
<url><loc>https://scifaro.com/en/abs/overcomplete-independent-component-analysis-via-sdp-1901.08334</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overcomplete-independent-component-analysis-via-sdp-1901.08334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overcomplete-independent-component-analysis-via-sdp-1901.08334"/></url>
<url><loc>https://scifaro.com/en/abs/on-local-optimizers-of-acquisition-functions-in-bayesian-optimization-1901.08350</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-local-optimizers-of-acquisition-functions-in-bayesian-optimization-1901.08350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-local-optimizers-of-acquisition-functions-in-bayesian-optimization-1901.08350"/></url>
<url><loc>https://scifaro.com/en/abs/a-xgboost-risk-model-via-feature-selection-and-bayesian-hyper-parameter-optimization-1901.08433</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-xgboost-risk-model-via-feature-selection-and-bayesian-hyper-parameter-optimization-1901.08433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-xgboost-risk-model-via-feature-selection-and-bayesian-hyper-parameter-optimization-1901.08433"/></url>
<url><loc>https://scifaro.com/en/abs/causal-mediation-analysis-leveraging-multiple-types-of-summary-statistics-data-1901.08540</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-mediation-analysis-leveraging-multiple-types-of-summary-statistics-data-1901.08540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-mediation-analysis-leveraging-multiple-types-of-summary-statistics-data-1901.08540"/></url>
<url><loc>https://scifaro.com/en/abs/general-supervision-via-probabilistic-transformations-1901.08552</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/general-supervision-via-probabilistic-transformations-1901.08552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/general-supervision-via-probabilistic-transformations-1901.08552"/></url>
<url><loc>https://scifaro.com/en/abs/semi-unsupervised-learning-clustering-and-classifying-using-ultra-sparse-labels-1901.08560</loc><lastmod>2021-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-unsupervised-learning-clustering-and-classifying-using-ultra-sparse-labels-1901.08560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-unsupervised-learning-clustering-and-classifying-using-ultra-sparse-labels-1901.08560"/></url>
<url><loc>https://scifaro.com/en/abs/fair-k-center-clustering-for-data-summarization-1901.08628</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-k-center-clustering-for-data-summarization-1901.08628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-k-center-clustering-for-data-summarization-1901.08628"/></url>
<url><loc>https://scifaro.com/en/abs/guarantees-for-spectral-clustering-with-fairness-constraints-1901.08668</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guarantees-for-spectral-clustering-with-fairness-constraints-1901.08668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guarantees-for-spectral-clustering-with-fairness-constraints-1901.08668"/></url>
<url><loc>https://scifaro.com/en/abs/robust-estimation-of-tree-structured-gaussian-graphical-model-1901.08770</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-estimation-of-tree-structured-gaussian-graphical-model-1901.08770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-estimation-of-tree-structured-gaussian-graphical-model-1901.08770"/></url>
<url><loc>https://scifaro.com/en/abs/estimate-sequences-for-stochastic-composite-optimization-variance-reduction-acceleration-and-robustness-to-noise-1901.08788</loc><lastmod>2020-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimate-sequences-for-stochastic-composite-optimization-variance-reduction-acceleration-and-robustness-to-noise-1901.08788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimate-sequences-for-stochastic-composite-optimization-variance-reduction-acceleration-and-robustness-to-noise-1901.08788"/></url>
<url><loc>https://scifaro.com/en/abs/spurious-vanishing-problem-in-approximate-vanishing-ideal-1901.08798</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spurious-vanishing-problem-in-approximate-vanishing-ideal-1901.08798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spurious-vanishing-problem-in-approximate-vanishing-ideal-1901.08798"/></url>
<url><loc>https://scifaro.com/en/abs/empowering-individual-trait-prediction-using-interactions-1901.08814</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empowering-individual-trait-prediction-using-interactions-1901.08814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empowering-individual-trait-prediction-using-interactions-1901.08814"/></url>
<url><loc>https://scifaro.com/en/abs/complexity-of-linear-regions-in-deep-networks-1901.09021</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complexity-of-linear-regions-in-deep-networks-1901.09021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complexity-of-linear-regions-in-deep-networks-1901.09021"/></url>
<url><loc>https://scifaro.com/en/abs/learning-models-from-data-with-measurement-error-tackling-underreporting-1901.09060</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-models-from-data-with-measurement-error-tackling-underreporting-1901.09060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-models-from-data-with-measurement-error-tackling-underreporting-1901.09060"/></url>
<url><loc>https://scifaro.com/en/abs/generalisation-dynamics-of-online-learning-in-over-parameterised-neural-networks-1901.09085</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalisation-dynamics-of-online-learning-in-over-parameterised-neural-networks-1901.09085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalisation-dynamics-of-online-learning-in-over-parameterised-neural-networks-1901.09085"/></url>
<url><loc>https://scifaro.com/en/abs/subspace-clustering-of-very-sparse-high-dimensional-data-1901.09108</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subspace-clustering-of-very-sparse-high-dimensional-data-1901.09108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subspace-clustering-of-very-sparse-high-dimensional-data-1901.09108"/></url>
<url><loc>https://scifaro.com/en/abs/towards-practical-lipschitz-bandits-1901.09277</loc><lastmod>2021-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-practical-lipschitz-bandits-1901.09277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-practical-lipschitz-bandits-1901.09277"/></url>
<url><loc>https://scifaro.com/en/abs/on-symmetric-losses-for-learning-from-corrupted-labels-1901.09314</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-symmetric-losses-for-learning-from-corrupted-labels-1901.09314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-symmetric-losses-for-learning-from-corrupted-labels-1901.09314"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-and-learning-robust-representations-with-natural-clustering-1901.09415</loc><lastmod>2020-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-and-learning-robust-representations-with-natural-clustering-1901.09415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-and-learning-robust-representations-with-natural-clustering-1901.09415"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-understanding-of-population-risk-improvement-with-model-compression-1901.09421</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-understanding-of-population-risk-improvement-with-model-compression-1901.09421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-understanding-of-population-risk-improvement-with-model-compression-1901.09421"/></url>
<url><loc>https://scifaro.com/en/abs/causal-discovery-with-a-mixture-of-dags-1901.09475</loc><lastmod>2020-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-discovery-with-a-mixture-of-dags-1901.09475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-discovery-with-a-mixture-of-dags-1901.09475"/></url>
<url><loc>https://scifaro.com/en/abs/principled-analytic-classifier-for-positive-unlabeled-learning-via-weighted-integral-probability-metric-1901.09503</loc><lastmod>2020-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principled-analytic-classifier-for-positive-unlabeled-learning-via-weighted-integral-probability-metric-1901.09503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principled-analytic-classifier-for-positive-unlabeled-learning-via-weighted-integral-probability-metric-1901.09503"/></url>
<url><loc>https://scifaro.com/en/abs/on-random-subsampling-of-gaussian-process-regression-a-graphon-based-analysis-1901.09541</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-random-subsampling-of-gaussian-process-regression-a-graphon-based-analysis-1901.09541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-random-subsampling-of-gaussian-process-regression-a-graphon-based-analysis-1901.09541"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-deep-neural-networks-through-variable-importance-1901.09839</loc><lastmod>2020-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-deep-neural-networks-through-variable-importance-1901.09839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-deep-neural-networks-through-variable-importance-1901.09839"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-metropolis-hastings-for-exact-bayesian-inference-with-large-datasets-1901.09881</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-metropolis-hastings-for-exact-bayesian-inference-with-large-datasets-1901.09881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-metropolis-hastings-for-exact-bayesian-inference-with-large-datasets-1901.09881"/></url>
<url><loc>https://scifaro.com/en/abs/improving-adversarial-robustness-of-ensembles-with-diversity-training-1901.09981</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-adversarial-robustness-of-ensembles-with-diversity-training-1901.09981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-adversarial-robustness-of-ensembles-with-diversity-training-1901.09981"/></url>
<url><loc>https://scifaro.com/en/abs/learning-schatten-von-neumann-operators-1901.10076</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-schatten-von-neumann-operators-1901.10076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-schatten-von-neumann-operators-1901.10076"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-binary-classification-with-variable-selection-1901.10079</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-binary-classification-with-variable-selection-1901.10079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-binary-classification-with-variable-selection-1901.10079"/></url>
<url><loc>https://scifaro.com/en/abs/general-fair-empirical-risk-minimization-1901.10080</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/general-fair-empirical-risk-minimization-1901.10080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/general-fair-empirical-risk-minimization-1901.10080"/></url>
<url><loc>https://scifaro.com/en/abs/variational-characterizations-of-local-entropy-and-heat-regularization-in-deep-learning-1901.10082</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-characterizations-of-local-entropy-and-heat-regularization-in-deep-learning-1901.10082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-characterizations-of-local-entropy-and-heat-regularization-in-deep-learning-1901.10082"/></url>
<url><loc>https://scifaro.com/en/abs/a-maximum-principle-argument-for-the-uniform-convergence-of-graph-laplacian-regressors-1901.10089</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-maximum-principle-argument-for-the-uniform-convergence-of-graph-laplacian-regressors-1901.10089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-maximum-principle-argument-for-the-uniform-convergence-of-graph-laplacian-regressors-1901.10089"/></url>
<url><loc>https://scifaro.com/en/abs/identifiability-of-gaussian-structural-equation-models-with-homogeneous-and-heterogeneous-error-variances-1901.10134</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifiability-of-gaussian-structural-equation-models-with-homogeneous-and-heterogeneous-error-variances-1901.10134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifiability-of-gaussian-structural-equation-models-with-homogeneous-and-heterogeneous-error-variances-1901.10134"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-networks-for-geometric-surfaces-prediction-in-injection-molding-1901.10178</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-networks-for-geometric-surfaces-prediction-in-injection-molding-1901.10178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-networks-for-geometric-surfaces-prediction-in-injection-molding-1901.10178"/></url>
<url><loc>https://scifaro.com/en/abs/partially-exchangeable-networks-and-architectures-for-learning-summary-statistics-in-approximate-bayesian-computation-1901.10230</loc><lastmod>2019-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partially-exchangeable-networks-and-architectures-for-learning-summary-statistics-in-approximate-bayesian-computation-1901.10230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partially-exchangeable-networks-and-architectures-for-learning-summary-statistics-in-approximate-bayesian-computation-1901.10230"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-markov-chain-monte-carlo-1901.10275</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-markov-chain-monte-carlo-1901.10275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-markov-chain-monte-carlo-1901.10275"/></url>
<url><loc>https://scifaro.com/en/abs/sample-complexity-bounds-for-recurrent-neural-networks-with-application-to-combinatorial-graph-problems-1901.10289</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-complexity-bounds-for-recurrent-neural-networks-with-application-to-combinatorial-graph-problems-1901.10289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-complexity-bounds-for-recurrent-neural-networks-with-application-to-combinatorial-graph-problems-1901.10289"/></url>
<url><loc>https://scifaro.com/en/abs/rank-one-convexification-for-sparse-regression-1901.10334</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rank-one-convexification-for-sparse-regression-1901.10334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rank-one-convexification-for-sparse-regression-1901.10334"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-embedded-nonlinear-observational-mappings-in-the-variational-mapping-particle-filter-1901.10426</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-embedded-nonlinear-observational-mappings-in-the-variational-mapping-particle-filter-1901.10426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-embedded-nonlinear-observational-mappings-in-the-variational-mapping-particle-filter-1901.10426"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-batch-bayesian-optimisation-with-improved-local-penalisation-1901.10452</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-batch-bayesian-optimisation-with-improved-local-penalisation-1901.10452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-batch-bayesian-optimisation-with-improved-local-penalisation-1901.10452"/></url>
<url><loc>https://scifaro.com/en/abs/latent-normalizing-flows-for-discrete-sequences-1901.10548</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-normalizing-flows-for-discrete-sequences-1901.10548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-normalizing-flows-for-discrete-sequences-1901.10548"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-mcmc-for-nonlinear-state-space-models-1901.10568</loc><lastmod>2023-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-mcmc-for-nonlinear-state-space-models-1901.10568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-mcmc-for-nonlinear-state-space-models-1901.10568"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-q-learning-with-functional-noise-in-continuous-state-spaces-1901.10634</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-q-learning-with-functional-noise-in-continuous-state-spaces-1901.10634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-q-learning-with-functional-noise-in-continuous-state-spaces-1901.10634"/></url>
<url><loc>https://scifaro.com/en/abs/domain-discrepancy-measure-for-complex-models-in-unsupervised-domain-adaptation-1901.10654</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-discrepancy-measure-for-complex-models-in-unsupervised-domain-adaptation-1901.10654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-discrepancy-measure-for-complex-models-in-unsupervised-domain-adaptation-1901.10654"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-calibration-of-multiclass-classification-with-rejection-1901.10655</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-calibration-of-multiclass-classification-with-rejection-1901.10655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-calibration-of-multiclass-classification-with-rejection-1901.10655"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-project-in-multi-objective-binary-linear-programming-1901.10868</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-project-in-multi-objective-binary-linear-programming-1901.10868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-project-in-multi-objective-binary-linear-programming-1901.10868"/></url>
<url><loc>https://scifaro.com/en/abs/infobot-transfer-and-exploration-via-the-information-bottleneck-1901.10902</loc><lastmod>2023-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infobot-transfer-and-exploration-via-the-information-bottleneck-1901.10902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infobot-transfer-and-exploration-via-the-information-bottleneck-1901.10902"/></url>
<url><loc>https://scifaro.com/en/abs/metric-gaussian-variational-inference-1901.11033</loc><lastmod>2020-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metric-gaussian-variational-inference-1901.11033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metric-gaussian-variational-inference-1901.11033"/></url>
<url><loc>https://scifaro.com/en/abs/which-factorization-machine-modeling-is-better-a-theoretical-answer-with-optimal-guarantee-1901.11149</loc><lastmod>2019-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/which-factorization-machine-modeling-is-better-a-theoretical-answer-with-optimal-guarantee-1901.11149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/which-factorization-machine-modeling-is-better-a-theoretical-answer-with-optimal-guarantee-1901.11149"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-multi-armed-bandit-algorithm-for-semiparametric-reward-model-1901.11221</loc><lastmod>2019-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-multi-armed-bandit-algorithm-for-semiparametric-reward-model-1901.11221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-multi-armed-bandit-algorithm-for-semiparametric-reward-model-1901.11221"/></url>
<url><loc>https://scifaro.com/en/abs/higher-order-count-sketch-dimensionality-reduction-that-retains-efficient-tensor-operations-1901.11261</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/higher-order-count-sketch-dimensionality-reduction-that-retains-efficient-tensor-operations-1901.11261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/higher-order-count-sketch-dimensionality-reduction-that-retains-efficient-tensor-operations-1901.11261"/></url>
<url><loc>https://scifaro.com/en/abs/robust-inference-via-generative-classifiers-for-handling-noisy-labels-1901.11300</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-inference-via-generative-classifiers-for-handling-noisy-labels-1901.11300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-inference-via-generative-classifiers-for-handling-noisy-labels-1901.11300"/></url>
<url><loc>https://scifaro.com/en/abs/functional-regularisation-for-continual-learning-with-gaussian-processes-1901.11356</loc><lastmod>2020-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-regularisation-for-continual-learning-with-gaussian-processes-1901.11356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-regularisation-for-continual-learning-with-gaussian-processes-1901.11356"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-probabilistic-inference-for-nonstationary-audio-analysis-1901.11436</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-probabilistic-inference-for-nonstationary-audio-analysis-1901.11436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-probabilistic-inference-for-nonstationary-audio-analysis-1901.11436"/></url>
<url><loc>https://scifaro.com/en/abs/minimizing-negative-transfer-of-knowledge-in-multivariate-gaussian-processes-a-scalable-and-regularized-approach-1901.11512</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimizing-negative-transfer-of-knowledge-in-multivariate-gaussian-processes-a-scalable-and-regularized-approach-1901.11512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimizing-negative-transfer-of-knowledge-in-multivariate-gaussian-processes-a-scalable-and-regularized-approach-1901.11512"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-testing-of-identity-to-a-reference-ergodic-markov-chain-1902.00080</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-testing-of-identity-to-a-reference-ergodic-markov-chain-1902.00080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-testing-of-identity-to-a-reference-ergodic-markov-chain-1902.00080"/></url>
<url><loc>https://scifaro.com/en/abs/bifidelity-data-assisted-neural-networks-in-nonintrusive-reduced-order-modeling-1902.00148</loc><lastmod>2019-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bifidelity-data-assisted-neural-networks-in-nonintrusive-reduced-order-modeling-1902.00148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bifidelity-data-assisted-neural-networks-in-nonintrusive-reduced-order-modeling-1902.00148"/></url>
<url><loc>https://scifaro.com/en/abs/critical-initialisation-in-continuous-approximations-of-binary-neural-networks-1902.00177</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/critical-initialisation-in-continuous-approximations-of-binary-neural-networks-1902.00177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/critical-initialisation-in-continuous-approximations-of-binary-neural-networks-1902.00177"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-mcmc-dynamics-as-flows-on-the-wasserstein-space-1902.00282</loc><lastmod>2019-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-mcmc-dynamics-as-flows-on-the-wasserstein-space-1902.00282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-mcmc-dynamics-as-flows-on-the-wasserstein-space-1902.00282"/></url>
<url><loc>https://scifaro.com/en/abs/tree-sliced-variants-of-wasserstein-distances-1902.00342</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tree-sliced-variants-of-wasserstein-distances-1902.00342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tree-sliced-variants-of-wasserstein-distances-1902.00342"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-temporal-textual-point-processes-for-crime-linkage-detection-1902.00440</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-temporal-textual-point-processes-for-crime-linkage-detection-1902.00440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-temporal-textual-point-processes-for-crime-linkage-detection-1902.00440"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-bayesian-optimization-using-the-graph-cartesian-product-1902.00448</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-bayesian-optimization-using-the-graph-cartesian-product-1902.00448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-bayesian-optimization-using-the-graph-cartesian-product-1902.00448"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-monte-carlo-variational-inference-1902.00468</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-monte-carlo-variational-inference-1902.00468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-monte-carlo-variational-inference-1902.00468"/></url>
<url><loc>https://scifaro.com/en/abs/the-spatially-conscious-machine-learning-model-1902.00562</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-spatially-conscious-machine-learning-model-1902.00562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-spatially-conscious-machine-learning-model-1902.00562"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-optimality-of-perturbations-in-stochastic-and-adversarial-multi-armed-bandit-problems-1902.00610</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-optimality-of-perturbations-in-stochastic-and-adversarial-multi-armed-bandit-problems-1902.00610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-optimality-of-perturbations-in-stochastic-and-adversarial-multi-armed-bandit-problems-1902.00610"/></url>
<url><loc>https://scifaro.com/en/abs/non-asymptotic-analysis-of-biased-stochastic-approximation-scheme-1902.00629</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-asymptotic-analysis-of-biased-stochastic-approximation-scheme-1902.00629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-asymptotic-analysis-of-biased-stochastic-approximation-scheme-1902.00629"/></url>
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<url><loc>https://scifaro.com/en/abs/computational-limitations-in-robust-classification-and-win-win-results-1902.01086</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computational-limitations-in-robust-classification-and-win-win-results-1902.01086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computational-limitations-in-robust-classification-and-win-win-results-1902.01086"/></url>
<url><loc>https://scifaro.com/en/abs/constructing-the-matrix-multilayer-perceptron-and-its-application-to-the-vae-1902.01182</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constructing-the-matrix-multilayer-perceptron-and-its-application-to-the-vae-1902.01182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constructing-the-matrix-multilayer-perceptron-and-its-application-to-the-vae-1902.01182"/></url>
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<url><loc>https://scifaro.com/en/abs/generalization-bounds-for-unsupervised-and-semi-supervised-learning-with-autoencoders-1902.01449</loc><lastmod>2019-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-for-unsupervised-and-semi-supervised-learning-with-autoencoders-1902.01449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-for-unsupervised-and-semi-supervised-learning-with-autoencoders-1902.01449"/></url>
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<url><loc>https://scifaro.com/en/abs/the-probabilistic-fault-tolerance-of-neural-networks-in-the-continuous-limit-1902.01686</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-probabilistic-fault-tolerance-of-neural-networks-in-the-continuous-limit-1902.01686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-probabilistic-fault-tolerance-of-neural-networks-in-the-continuous-limit-1902.01686"/></url>
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<url><loc>https://scifaro.com/en/abs/tensor-variable-elimination-for-plated-factor-graphs-1902.03210</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-variable-elimination-for-plated-factor-graphs-1902.03210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-variable-elimination-for-plated-factor-graphs-1902.03210"/></url>
<url><loc>https://scifaro.com/en/abs/robust-streaming-pca-1902.03223</loc><lastmod>2022-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-streaming-pca-1902.03223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-streaming-pca-1902.03223"/></url>
<url><loc>https://scifaro.com/en/abs/a-smoother-way-to-train-structured-prediction-models-1902.03228</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-smoother-way-to-train-structured-prediction-models-1902.03228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-smoother-way-to-train-structured-prediction-models-1902.03228"/></url>
<url><loc>https://scifaro.com/en/abs/invariant-equivariant-representation-learning-for-multi-class-data-1902.03251</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invariant-equivariant-representation-learning-for-multi-class-data-1902.03251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invariant-equivariant-representation-learning-for-multi-class-data-1902.03251"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-holistic-linear-regression-1902.03272</loc><lastmod>2020-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-holistic-linear-regression-1902.03272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-holistic-linear-regression-1902.03272"/></url>
<url><loc>https://scifaro.com/en/abs/censored-quantile-regression-forests-1902.03327</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/censored-quantile-regression-forests-1902.03327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/censored-quantile-regression-forests-1902.03327"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-discovery-of-slow-molecular-modes-using-state-free-reversible-vampnets-1902.03336</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-discovery-of-slow-molecular-modes-using-state-free-reversible-vampnets-1902.03336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-discovery-of-slow-molecular-modes-using-state-free-reversible-vampnets-1902.03336"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-patient-similarities-via-a-deep-architecture-with-medical-concept-embedding-1902.03376</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-patient-similarities-via-a-deep-architecture-with-medical-concept-embedding-1902.03376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-patient-similarities-via-a-deep-architecture-with-medical-concept-embedding-1902.03376"/></url>
<url><loc>https://scifaro.com/en/abs/a-stochastic-version-of-stein-variational-gradient-descent-for-efficient-sampling-1902.03394</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-stochastic-version-of-stein-variational-gradient-descent-for-efficient-sampling-1902.03394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-stochastic-version-of-stein-variational-gradient-descent-for-efficient-sampling-1902.03394"/></url>
<url><loc>https://scifaro.com/en/abs/low-pass-filtering-as-bayesian-inference-1902.03427</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-pass-filtering-as-bayesian-inference-1902.03427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-pass-filtering-as-bayesian-inference-1902.03427"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-for-multi-labeled-variables-via-dependency-maximization-1902.03544</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-for-multi-labeled-variables-via-dependency-maximization-1902.03544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-for-multi-labeled-variables-via-dependency-maximization-1902.03544"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-primal-dual-algorithms-for-large-scale-multiclass-classification-1902.03755</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-primal-dual-algorithms-for-large-scale-multiclass-classification-1902.03755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-primal-dual-algorithms-for-large-scale-multiclass-classification-1902.03755"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-structure-of-uncertainty-for-efficient-matroid-semi-bandits-1902.03794</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-structure-of-uncertainty-for-efficient-matroid-semi-bandits-1902.03794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-structure-of-uncertainty-for-efficient-matroid-semi-bandits-1902.03794"/></url>
<url><loc>https://scifaro.com/en/abs/a-physics-aware-probabilistic-machine-learning-framework-for-coarse-graining-high-dimensional-systems-in-the-small-data-regime-1902.03968</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-physics-aware-probabilistic-machine-learning-framework-for-coarse-graining-high-dimensional-systems-in-the-small-data-regime-1902.03968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-physics-aware-probabilistic-machine-learning-framework-for-coarse-graining-high-dimensional-systems-in-the-small-data-regime-1902.03968"/></url>
<url><loc>https://scifaro.com/en/abs/using-embeddings-to-correct-for-unobserved-confounding-in-networks-1902.04114</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-embeddings-to-correct-for-unobserved-confounding-in-networks-1902.04114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-embeddings-to-correct-for-unobserved-confounding-in-networks-1902.04114"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-feature-selection-in-kernel-discriminant-analysis-via-optimal-scoring-1902.04248</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-feature-selection-in-kernel-discriminant-analysis-via-optimal-scoring-1902.04248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-feature-selection-in-kernel-discriminant-analysis-via-optimal-scoring-1902.04248"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-stochastic-optimization-algorithm-for-resource-allocation-1902.04376</loc><lastmod>2020-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-stochastic-optimization-algorithm-for-resource-allocation-1902.04376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-stochastic-optimization-algorithm-for-resource-allocation-1902.04376"/></url>
<url><loc>https://scifaro.com/en/abs/learning-interpretable-continuous-time-models-of-latent-stochastic-dynamical-systems-1902.04420</loc><lastmod>2019-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-interpretable-continuous-time-models-of-latent-stochastic-dynamical-systems-1902.04420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-interpretable-continuous-time-models-of-latent-stochastic-dynamical-systems-1902.04420"/></url>
<url><loc>https://scifaro.com/en/abs/to-ensemble-or-not-ensemble-when-does-end-to-end-training-fail-1902.04422</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/to-ensemble-or-not-ensemble-when-does-end-to-end-training-fail-1902.04422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/to-ensemble-or-not-ensemble-when-does-end-to-end-training-fail-1902.04422"/></url>
<url><loc>https://scifaro.com/en/abs/the-cost-of-privacy-optimal-rates-of-convergence-for-parameter-estimation-with-differential-privacy-1902.04495</loc><lastmod>2020-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-cost-of-privacy-optimal-rates-of-convergence-for-parameter-estimation-with-differential-privacy-1902.04495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-cost-of-privacy-optimal-rates-of-convergence-for-parameter-estimation-with-differential-privacy-1902.04495"/></url>
<url><loc>https://scifaro.com/en/abs/learning-generative-models-of-structured-signals-from-their-superposition-using-gans-with-application-to-denoising-and-demixing-1902.04664</loc><lastmod>2019-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-generative-models-of-structured-signals-from-their-superposition-using-gans-with-application-to-denoising-and-demixing-1902.04664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-generative-models-of-structured-signals-from-their-superposition-using-gans-with-application-to-denoising-and-demixing-1902.04664"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-generative-mode-coverage-a-pointwise-guaranteed-approach-1902.04697</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-generative-mode-coverage-a-pointwise-guaranteed-approach-1902.04697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-generative-mode-coverage-a-pointwise-guaranteed-approach-1902.04697"/></url>
<url><loc>https://scifaro.com/en/abs/identity-crisis-memorization-and-generalization-under-extreme-overparameterization-1902.04698</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identity-crisis-memorization-and-generalization-under-extreme-overparameterization-1902.04698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identity-crisis-memorization-and-generalization-under-extreme-overparameterization-1902.04698"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-the-chinese-restaurant-and-pitman-yor-processes-statistical-models-with-double-power-law-behavior-1902.04714</loc><lastmod>2025-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-the-chinese-restaurant-and-pitman-yor-processes-statistical-models-with-double-power-law-behavior-1902.04714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-the-chinese-restaurant-and-pitman-yor-processes-statistical-models-with-double-power-law-behavior-1902.04714"/></url>
<url><loc>https://scifaro.com/en/abs/group-level-meg-eeg-source-imaging-via-optimal-transport-minimum-wasserstein-estimates-1902.04812</loc><lastmod>2019-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-level-meg-eeg-source-imaging-via-optimal-transport-minimum-wasserstein-estimates-1902.04812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-level-meg-eeg-source-imaging-via-optimal-transport-minimum-wasserstein-estimates-1902.04812"/></url>
<url><loc>https://scifaro.com/en/abs/do-subsampled-newton-methods-work-for-high-dimensional-data-1902.04952</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-subsampled-newton-methods-work-for-high-dimensional-data-1902.04952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-subsampled-newton-methods-work-for-high-dimensional-data-1902.04952"/></url>
<url><loc>https://scifaro.com/en/abs/deep-divergence-based-approach-to-clustering-1902.04981</loc><lastmod>2019-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-divergence-based-approach-to-clustering-1902.04981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-divergence-based-approach-to-clustering-1902.04981"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-extended-variational-inference-for-non-gaussian-statistical-models-1902.05068</loc><lastmod>2020-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-extended-variational-inference-for-non-gaussian-statistical-models-1902.05068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-extended-variational-inference-for-non-gaussian-statistical-models-1902.05068"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-neural-architecture-search-1902.05116</loc><lastmod>2019-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-neural-architecture-search-1902.05116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-neural-architecture-search-1902.05116"/></url>
<url><loc>https://scifaro.com/en/abs/non-asymptotic-analysis-of-monte-carlo-tree-search-1902.05213</loc><lastmod>2020-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-asymptotic-analysis-of-monte-carlo-tree-search-1902.05213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-asymptotic-analysis-of-monte-carlo-tree-search-1902.05213"/></url>
<url><loc>https://scifaro.com/en/abs/generalisation-in-fully-connected-neural-networks-for-time-series-forecasting-1902.05312</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalisation-in-fully-connected-neural-networks-for-time-series-forecasting-1902.05312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalisation-in-fully-connected-neural-networks-for-time-series-forecasting-1902.05312"/></url>
<url><loc>https://scifaro.com/en/abs/classifying-treatment-responders-under-causal-effect-monotonicity-1902.05482</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifying-treatment-responders-under-causal-effect-monotonicity-1902.05482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifying-treatment-responders-under-causal-effect-monotonicity-1902.05482"/></url>
<url><loc>https://scifaro.com/en/abs/a-probabilistic-framework-for-quantum-clustering-1902.05578</loc><lastmod>2019-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probabilistic-framework-for-quantum-clustering-1902.05578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probabilistic-framework-for-quantum-clustering-1902.05578"/></url>
<url><loc>https://scifaro.com/en/abs/exponentially-modified-gaussian-mixture-model-applications-in-spectroscopy-1902.05601</loc><lastmod>2019-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponentially-modified-gaussian-mixture-model-applications-in-spectroscopy-1902.05601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponentially-modified-gaussian-mixture-model-applications-in-spectroscopy-1902.05601"/></url>
<url><loc>https://scifaro.com/en/abs/classification-with-unknown-class-conditional-label-noise-on-non-compact-feature-spaces-1902.05627</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-with-unknown-class-conditional-label-noise-on-non-compact-feature-spaces-1902.05627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-with-unknown-class-conditional-label-noise-on-non-compact-feature-spaces-1902.05627"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-image-classification-with-deep-convolutional-gaussian-processes-1902.05888</loc><lastmod>2020-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-image-classification-with-deep-convolutional-gaussian-processes-1902.05888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-image-classification-with-deep-convolutional-gaussian-processes-1902.05888"/></url>
<url><loc>https://scifaro.com/en/abs/mean-field-theory-of-two-layers-neural-networks-dimension-free-bounds-and-kernel-limit-1902.06015</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-field-theory-of-two-layers-neural-networks-dimension-free-bounds-and-kernel-limit-1902.06015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-field-theory-of-two-layers-neural-networks-dimension-free-bounds-and-kernel-limit-1902.06015"/></url>
<url><loc>https://scifaro.com/en/abs/context-based-dynamic-pricing-with-online-clustering-1902.06199</loc><lastmod>2022-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-based-dynamic-pricing-with-online-clustering-1902.06199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-based-dynamic-pricing-with-online-clustering-1902.06199"/></url>
<url><loc>https://scifaro.com/en/abs/a-unifying-bayesian-view-of-continual-learning-1902.06494</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unifying-bayesian-view-of-continual-learning-1902.06494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unifying-bayesian-view-of-continual-learning-1902.06494"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-continual-learning-1902.06497</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-continual-learning-1902.06497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-continual-learning-1902.06497"/></url>
<url><loc>https://scifaro.com/en/abs/deep-mixtures-of-unigrams-for-uncovering-topics-in-textual-data-1902.06615</loc><lastmod>2020-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-mixtures-of-unigrams-for-uncovering-topics-in-textual-data-1902.06615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-mixtures-of-unigrams-for-uncovering-topics-in-textual-data-1902.06615"/></url>
<url><loc>https://scifaro.com/en/abs/wide-neural-networks-of-any-depth-evolve-as-linear-models-under-gradient-descent-1902.06720</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wide-neural-networks-of-any-depth-evolve-as-linear-models-under-gradient-descent-1902.06720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wide-neural-networks-of-any-depth-evolve-as-linear-models-under-gradient-descent-1902.06720"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-impact-of-the-activation-function-on-deep-neural-networks-training-1902.06853</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-impact-of-the-activation-function-on-deep-neural-networks-training-1902.06853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-impact-of-the-activation-function-on-deep-neural-networks-training-1902.06853"/></url>
<url><loc>https://scifaro.com/en/abs/hyperbolic-discounting-and-learning-over-multiple-horizons-1902.06865</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperbolic-discounting-and-learning-over-multiple-horizons-1902.06865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperbolic-discounting-and-learning-over-multiple-horizons-1902.06865"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-consistency-of-supervised-learning-with-missing-values-1902.06931</loc><lastmod>2024-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-consistency-of-supervised-learning-with-missing-values-1902.06931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-consistency-of-supervised-learning-with-missing-values-1902.06931"/></url>
<url><loc>https://scifaro.com/en/abs/multifidelity-bayesian-optimization-for-binomial-output-1902.06937</loc><lastmod>2019-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multifidelity-bayesian-optimization-for-binomial-output-1902.06937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multifidelity-bayesian-optimization-for-binomial-output-1902.06937"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-thompson-sampling-via-optimal-transport-1902.07239</loc><lastmod>2019-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-thompson-sampling-via-optimal-transport-1902.07239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-thompson-sampling-via-optimal-transport-1902.07239"/></url>
<url><loc>https://scifaro.com/en/abs/perfect-reconstruction-of-sparse-signals-with-piecewise-continuous-nonconvex-penalties-and-nonconvexity-control-1902.07436</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perfect-reconstruction-of-sparse-signals-with-piecewise-continuous-nonconvex-penalties-and-nonconvexity-control-1902.07436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perfect-reconstruction-of-sparse-signals-with-piecewise-continuous-nonconvex-penalties-and-nonconvexity-control-1902.07436"/></url>
<url><loc>https://scifaro.com/en/abs/noisy-multi-label-semi-supervised-dimensionality-reduction-1902.07517</loc><lastmod>2019-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisy-multi-label-semi-supervised-dimensionality-reduction-1902.07517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisy-multi-label-semi-supervised-dimensionality-reduction-1902.07517"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-iterative-hessian-sketch-via-a-optimal-subsampling-1902.07627</loc><lastmod>2020-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-iterative-hessian-sketch-via-a-optimal-subsampling-1902.07627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-iterative-hessian-sketch-via-a-optimal-subsampling-1902.07627"/></url>
<url><loc>https://scifaro.com/en/abs/noisy-matrix-completion-understanding-statistical-guarantees-for-convex-relaxation-via-nonconvex-optimization-1902.07698</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisy-matrix-completion-understanding-statistical-guarantees-for-convex-relaxation-via-nonconvex-optimization-1902.07698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisy-matrix-completion-understanding-statistical-guarantees-for-convex-relaxation-via-nonconvex-optimization-1902.07698"/></url>
<url><loc>https://scifaro.com/en/abs/correspondence-analysis-using-neural-networks-1902.07828</loc><lastmod>2019-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correspondence-analysis-using-neural-networks-1902.07828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correspondence-analysis-using-neural-networks-1902.07828"/></url>
<url><loc>https://scifaro.com/en/abs/stable-bayesian-optimisation-via-direct-stability-quantification-1902.07846</loc><lastmod>2019-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-bayesian-optimisation-via-direct-stability-quantification-1902.07846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-bayesian-optimisation-via-direct-stability-quantification-1902.07846"/></url>
<url><loc>https://scifaro.com/en/abs/stacking-with-neural-network-for-cryptocurrency-investment-1902.07855</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stacking-with-neural-network-for-cryptocurrency-investment-1902.07855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stacking-with-neural-network-for-cryptocurrency-investment-1902.07855"/></url>
<url><loc>https://scifaro.com/en/abs/statistics-and-samples-in-distributional-reinforcement-learning-1902.08102</loc><lastmod>2019-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistics-and-samples-in-distributional-reinforcement-learning-1902.08102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistics-and-samples-in-distributional-reinforcement-learning-1902.08102"/></url>
<url><loc>https://scifaro.com/en/abs/a-nonparametric-multi-view-model-for-estimating-cell-type-specific-gene-regulatory-networks-1902.08138</loc><lastmod>2019-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-nonparametric-multi-view-model-for-estimating-cell-type-specific-gene-regulatory-networks-1902.08138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-nonparametric-multi-view-model-for-estimating-cell-type-specific-gene-regulatory-networks-1902.08138"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-perceptual-distortion-of-adversarial-examples-1902.08265</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-perceptual-distortion-of-adversarial-examples-1902.08265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-perceptual-distortion-of-adversarial-examples-1902.08265"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-deep-neural-networks-and-deep-hierarchical-models-for-spatio-temporal-data-1902.08321</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-deep-neural-networks-and-deep-hierarchical-models-for-spatio-temporal-data-1902.08321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-deep-neural-networks-and-deep-hierarchical-models-for-spatio-temporal-data-1902.08321"/></url>
<url><loc>https://scifaro.com/en/abs/favae-sequence-disentanglement-using-information-bottleneck-principle-1902.08341</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/favae-sequence-disentanglement-using-information-bottleneck-principle-1902.08341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/favae-sequence-disentanglement-using-information-bottleneck-principle-1902.08341"/></url>
<url><loc>https://scifaro.com/en/abs/unique-sharp-local-minimum-in-ell-1-minimization-complete-dictionary-learning-1902.08380</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unique-sharp-local-minimum-in-ell-1-minimization-complete-dictionary-learning-1902.08380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unique-sharp-local-minimum-in-ell-1-minimization-complete-dictionary-learning-1902.08380"/></url>
<url><loc>https://scifaro.com/en/abs/robust-graph-embedding-with-noisy-link-weights-1902.08440</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-graph-embedding-with-noisy-link-weights-1902.08440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-graph-embedding-with-noisy-link-weights-1902.08440"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-clustering-in-very-high-dimensions-via-adaptive-projections-1902.08472</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-clustering-in-very-high-dimensions-via-adaptive-projections-1902.08472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-clustering-in-very-high-dimensions-via-adaptive-projections-1902.08472"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-anomaly-detection-and-classification-1902.08627</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-anomaly-detection-and-classification-1902.08627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-anomaly-detection-and-classification-1902.08627"/></url>
<url><loc>https://scifaro.com/en/abs/beating-sgd-saturation-with-tail-averaging-and-minibatching-1902.08668</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beating-sgd-saturation-with-tail-averaging-and-minibatching-1902.08668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beating-sgd-saturation-with-tail-averaging-and-minibatching-1902.08668"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-analysis-made-easy-with-linear-regression-and-kernels-1902.08679</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-analysis-made-easy-with-linear-regression-and-kernels-1902.08679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-analysis-made-easy-with-linear-regression-and-kernels-1902.08679"/></url>
<url><loc>https://scifaro.com/en/abs/the-generalized-complex-kernel-least-mean-square-algorithm-1902.08692</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-generalized-complex-kernel-least-mean-square-algorithm-1902.08692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-generalized-complex-kernel-least-mean-square-algorithm-1902.08692"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-robust-reinforcement-learning-1902.08708</loc><lastmod>2019-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-robust-reinforcement-learning-1902.08708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-robust-reinforcement-learning-1902.08708"/></url>
<url><loc>https://scifaro.com/en/abs/a-formalization-of-the-natural-gradient-method-for-general-similarity-measures-1902.08959</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-formalization-of-the-natural-gradient-method-for-general-similarity-measures-1902.08959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-formalization-of-the-natural-gradient-method-for-general-similarity-measures-1902.08959"/></url>
<url><loc>https://scifaro.com/en/abs/combining-online-learning-guarantees-1902.09003</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-online-learning-guarantees-1902.09003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-online-learning-guarantees-1902.09003"/></url>
<url><loc>https://scifaro.com/en/abs/artificial-constraints-and-lipschitz-hints-for-unconstrained-online-learning-1902.09013</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/artificial-constraints-and-lipschitz-hints-for-unconstrained-online-learning-1902.09013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/artificial-constraints-and-lipschitz-hints-for-unconstrained-online-learning-1902.09013"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-reinforcement-learning-under-partial-observability-in-autonomous-computer-network-defence-1902.09062</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-reinforcement-learning-under-partial-observability-in-autonomous-computer-network-defence-1902.09062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-reinforcement-learning-under-partial-observability-in-autonomous-computer-network-defence-1902.09062"/></url>
<url><loc>https://scifaro.com/en/abs/multiscale-gaussian-process-level-set-estimation-1902.09682</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiscale-gaussian-process-level-set-estimation-1902.09682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiscale-gaussian-process-level-set-estimation-1902.09682"/></url>
<url><loc>https://scifaro.com/en/abs/antisymmetricrnn-a-dynamical-system-view-on-recurrent-neural-networks-1902.09689</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/antisymmetricrnn-a-dynamical-system-view-on-recurrent-neural-networks-1902.09689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/antisymmetricrnn-a-dynamical-system-view-on-recurrent-neural-networks-1902.09689"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-clustering-with-missing-values-1902.09694</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-clustering-with-missing-values-1902.09694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-clustering-with-missing-values-1902.09694"/></url>
<url><loc>https://scifaro.com/en/abs/online-predictive-optimization-framework-for-stochastic-demand-responsive-transit-services-1902.09745</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-predictive-optimization-framework-for-stochastic-demand-responsive-transit-services-1902.09745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-predictive-optimization-framework-for-stochastic-demand-responsive-transit-services-1902.09745"/></url>
<url><loc>https://scifaro.com/en/abs/function-space-particle-optimization-for-bayesian-neural-networks-1902.09754</loc><lastmod>2019-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/function-space-particle-optimization-for-bayesian-neural-networks-1902.09754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/function-space-particle-optimization-for-bayesian-neural-networks-1902.09754"/></url>
<url><loc>https://scifaro.com/en/abs/context-vectors-are-reflections-of-word-vectors-in-half-the-dimensions-1902.09859</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-vectors-are-reflections-of-word-vectors-in-half-the-dimensions-1902.09859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-vectors-are-reflections-of-word-vectors-in-half-the-dimensions-1902.09859"/></url>
<url><loc>https://scifaro.com/en/abs/assume-augment-and-learn-unsupervised-few-shot-meta-learning-via-random-labels-and-data-augmentation-1902.09884</loc><lastmod>2019-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assume-augment-and-learn-unsupervised-few-shot-meta-learning-via-random-labels-and-data-augmentation-1902.09884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assume-augment-and-learn-unsupervised-few-shot-meta-learning-via-random-labels-and-data-augmentation-1902.09884"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-online-learning-with-kernels-for-adversarial-large-scale-problems-1902.09917</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-online-learning-with-kernels-for-adversarial-large-scale-problems-1902.09917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-online-learning-with-kernels-for-adversarial-large-scale-problems-1902.09917"/></url>
<url><loc>https://scifaro.com/en/abs/banded-matrix-operators-for-gaussian-markov-models-in-the-automatic-differentiation-era-1902.10078</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/banded-matrix-operators-for-gaussian-markov-models-in-the-automatic-differentiation-era-1902.10078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/banded-matrix-operators-for-gaussian-markov-models-in-the-automatic-differentiation-era-1902.10078"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-to-measure-model-uncertainty-in-deep-neural-networks-1902.10189</loc><lastmod>2019-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-to-measure-model-uncertainty-in-deep-neural-networks-1902.10189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-to-measure-model-uncertainty-in-deep-neural-networks-1902.10189"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-kernel-learning-1902.10214</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-kernel-learning-1902.10214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-kernel-learning-1902.10214"/></url>
<url><loc>https://scifaro.com/en/abs/on-multi-cause-causal-inference-with-unobserved-confounding-counterexamples-impossibility-and-alternatives-1902.10286</loc><lastmod>2019-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-multi-cause-causal-inference-with-unobserved-confounding-counterexamples-impossibility-and-alternatives-1902.10286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-multi-cause-causal-inference-with-unobserved-confounding-counterexamples-impossibility-and-alternatives-1902.10286"/></url>
<url><loc>https://scifaro.com/en/abs/training-variational-autoencoders-with-buffered-stochastic-variational-inference-1902.10294</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-variational-autoencoders-with-buffered-stochastic-variational-inference-1902.10294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-variational-autoencoders-with-buffered-stochastic-variational-inference-1902.10294"/></url>
<url><loc>https://scifaro.com/en/abs/cross-validation-in-sparse-linear-regression-with-piecewise-continuous-nonconvex-penalties-and-its-acceleration-1902.10375</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-validation-in-sparse-linear-regression-with-piecewise-continuous-nonconvex-penalties-and-its-acceleration-1902.10375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-validation-in-sparse-linear-regression-with-piecewise-continuous-nonconvex-penalties-and-its-acceleration-1902.10375"/></url>
<url><loc>https://scifaro.com/en/abs/data-segmentation-based-on-the-local-intrinsic-dimension-1902.10459</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-segmentation-based-on-the-local-intrinsic-dimension-1902.10459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-segmentation-based-on-the-local-intrinsic-dimension-1902.10459"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-bayesian-optimization-using-low-dimensional-feature-spaces-1902.10675</loc><lastmod>2020-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-bayesian-optimization-using-low-dimensional-feature-spaces-1902.10675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-bayesian-optimization-using-low-dimensional-feature-spaces-1902.10675"/></url>
<url><loc>https://scifaro.com/en/abs/degenerate-feedback-loops-in-recommender-systems-1902.10730</loc><lastmod>2019-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/degenerate-feedback-loops-in-recommender-systems-1902.10730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/degenerate-feedback-loops-in-recommender-systems-1902.10730"/></url>
<url><loc>https://scifaro.com/en/abs/monotonic-gaussian-process-for-spatio-temporal-disease-progression-modeling-in-brain-imaging-data-1902.10952</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monotonic-gaussian-process-for-spatio-temporal-disease-progression-modeling-in-brain-imaging-data-1902.10952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monotonic-gaussian-process-for-spatio-temporal-disease-progression-modeling-in-brain-imaging-data-1902.10952"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-modulated-cox-processes-under-linear-inequality-constraints-1902.10974</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-modulated-cox-processes-under-linear-inequality-constraints-1902.10974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-modulated-cox-processes-under-linear-inequality-constraints-1902.10974"/></url>
<url><loc>https://scifaro.com/en/abs/active-exploration-in-markov-decision-processes-1902.11199</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-exploration-in-markov-decision-processes-1902.11199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-exploration-in-markov-decision-processes-1902.11199"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-stochastic-block-models-and-extensions-for-graph-clustering-1903.00114</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-stochastic-block-models-and-extensions-for-graph-clustering-1903.00114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-stochastic-block-models-and-extensions-for-graph-clustering-1903.00114"/></url>
<url><loc>https://scifaro.com/en/abs/novel-and-efficient-approximations-for-zero-one-loss-of-linear-classifiers-1903.00359</loc><lastmod>2019-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/novel-and-efficient-approximations-for-zero-one-loss-of-linear-classifiers-1903.00359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/novel-and-efficient-approximations-for-zero-one-loss-of-linear-classifiers-1903.00359"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-complexity-of-logistic-regression-models-1903.00386</loc><lastmod>2019-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-complexity-of-logistic-regression-models-1903.00386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-complexity-of-logistic-regression-models-1903.00386"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-in-policy-evaluation-new-tools-for-causal-inference-1903.00402</loc><lastmod>2019-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-in-policy-evaluation-new-tools-for-causal-inference-1903.00402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-in-policy-evaluation-new-tools-for-causal-inference-1903.00402"/></url>
<url><loc>https://scifaro.com/en/abs/introducing-super-pseudo-panels-application-to-transport-preference-dynamics-1903.00516</loc><lastmod>2020-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introducing-super-pseudo-panels-application-to-transport-preference-dynamics-1903.00516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introducing-super-pseudo-panels-application-to-transport-preference-dynamics-1903.00516"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-properties-of-variational-bayes-for-vector-autoregressions-1903.00617</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-properties-of-variational-bayes-for-vector-autoregressions-1903.00617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-properties-of-variational-bayes-for-vector-autoregressions-1903.00617"/></url>
<url><loc>https://scifaro.com/en/abs/a-regularized-approach-to-sparse-optimal-policy-in-reinforcement-learning-1903.00725</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-regularized-approach-to-sparse-optimal-policy-in-reinforcement-learning-1903.00725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-regularized-approach-to-sparse-optimal-policy-in-reinforcement-learning-1903.00725"/></url>
<url><loc>https://scifaro.com/en/abs/lexicographically-ordered-multi-objective-clustering-1903.00750</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lexicographically-ordered-multi-objective-clustering-1903.00750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lexicographically-ordered-multi-objective-clustering-1903.00750"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-learning-of-conditional-kernel-mean-embeddings-for-automatic-likelihood-free-inference-1903.00863</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-learning-of-conditional-kernel-mean-embeddings-for-automatic-likelihood-free-inference-1903.00863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-learning-of-conditional-kernel-mean-embeddings-for-automatic-likelihood-free-inference-1903.00863"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-density-estimation-with-neural-networks-best-practices-and-benchmarks-1903.00954</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-density-estimation-with-neural-networks-best-practices-and-benchmarks-1903.00954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-density-estimation-with-neural-networks-best-practices-and-benchmarks-1903.00954"/></url>
<url><loc>https://scifaro.com/en/abs/anytime-online-to-batch-conversions-optimism-and-acceleration-1903.00974</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anytime-online-to-batch-conversions-optimism-and-acceleration-1903.00974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anytime-online-to-batch-conversions-optimism-and-acceleration-1903.00974"/></url>
<url><loc>https://scifaro.com/en/abs/classification-via-local-manifold-approximation-1903.00985</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-via-local-manifold-approximation-1903.00985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-via-local-manifold-approximation-1903.00985"/></url>
<url><loc>https://scifaro.com/en/abs/quantitative-robustness-of-localized-support-vector-machines-1903.01334</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantitative-robustness-of-localized-support-vector-machines-1903.01334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantitative-robustness-of-localized-support-vector-machines-1903.01334"/></url>
<url><loc>https://scifaro.com/en/abs/database-alignment-with-gaussian-features-1903.01422</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/database-alignment-with-gaussian-features-1903.01422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/database-alignment-with-gaussian-features-1903.01422"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimistic-acceleration-of-amsgrad-for-nonconvex-optimization-1903.01435</loc><lastmod>2020-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimistic-acceleration-of-amsgrad-for-nonconvex-optimization-1903.01435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimistic-acceleration-of-amsgrad-for-nonconvex-optimization-1903.01435"/></url>
<url><loc>https://scifaro.com/en/abs/learning-dynamics-model-in-reinforcement-learning-by-incorporating-the-long-term-future-1903.01599</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-dynamics-model-in-reinforcement-learning-by-incorporating-the-long-term-future-1903.01599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-dynamics-model-in-reinforcement-learning-by-incorporating-the-long-term-future-1903.01599"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-approach-to-adaptive-data-analysis-and-learning-via-maximal-leakage-1903.01777</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-approach-to-adaptive-data-analysis-and-learning-via-maximal-leakage-1903.01777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-approach-to-adaptive-data-analysis-and-learning-via-maximal-leakage-1903.01777"/></url>
<url><loc>https://scifaro.com/en/abs/size-of-interventional-markov-equivalence-classes-in-random-dag-models-1903.02054</loc><lastmod>2019-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/size-of-interventional-markov-equivalence-classes-in-random-dag-models-1903.02054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/size-of-interventional-markov-equivalence-classes-in-random-dag-models-1903.02054"/></url>
<url><loc>https://scifaro.com/en/abs/limitations-of-pinned-auc-for-measuring-unintended-bias-1903.02088</loc><lastmod>2019-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/limitations-of-pinned-auc-for-measuring-unintended-bias-1903.02088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/limitations-of-pinned-auc-for-measuring-unintended-bias-1903.02088"/></url>
<url><loc>https://scifaro.com/en/abs/neural-empirical-bayes-1903.02334</loc><lastmod>2020-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-empirical-bayes-1903.02334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-empirical-bayes-1903.02334"/></url>
<url><loc>https://scifaro.com/en/abs/orthogonal-structure-search-for-efficient-causal-discovery-from-observational-data-1903.02456</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthogonal-structure-search-for-efficient-causal-discovery-from-observational-data-1903.02456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthogonal-structure-search-for-efficient-causal-discovery-from-observational-data-1903.02456"/></url>
<url><loc>https://scifaro.com/en/abs/deep-random-splines-for-point-process-intensity-estimation-of-neural-population-data-1903.02610</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-random-splines-for-point-process-intensity-estimation-of-neural-population-data-1903.02610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-random-splines-for-point-process-intensity-estimation-of-neural-population-data-1903.02610"/></url>
<url><loc>https://scifaro.com/en/abs/on-convergence-rate-of-the-gaussian-belief-propagation-algorithm-for-markov-networks-1903.02658</loc><lastmod>2019-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-convergence-rate-of-the-gaussian-belief-propagation-algorithm-for-markov-networks-1903.02658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-convergence-rate-of-the-gaussian-belief-propagation-algorithm-for-markov-networks-1903.02658"/></url>
<url><loc>https://scifaro.com/en/abs/on-adversarial-mixup-resynthesis-1903.02709</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-adversarial-mixup-resynthesis-1903.02709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-adversarial-mixup-resynthesis-1903.02709"/></url>
<url><loc>https://scifaro.com/en/abs/on-transformations-in-stochastic-gradient-mcmc-1903.02750</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-transformations-in-stochastic-gradient-mcmc-1903.02750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-transformations-in-stochastic-gradient-mcmc-1903.02750"/></url>
<url><loc>https://scifaro.com/en/abs/gratis-generating-time-series-with-diverse-and-controllable-characteristics-1903.02787</loc><lastmod>2020-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gratis-generating-time-series-with-diverse-and-controllable-characteristics-1903.02787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gratis-generating-time-series-with-diverse-and-controllable-characteristics-1903.02787"/></url>
<url><loc>https://scifaro.com/en/abs/multi-output-bus-travel-time-prediction-with-convolutional-lstm-neural-network-1903.02791</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-output-bus-travel-time-prediction-with-convolutional-lstm-neural-network-1903.02791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-output-bus-travel-time-prediction-with-convolutional-lstm-neural-network-1903.02791"/></url>
<url><loc>https://scifaro.com/en/abs/reparameterizing-distributions-on-lie-groups-1903.02958</loc><lastmod>2019-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reparameterizing-distributions-on-lie-groups-1903.02958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reparameterizing-distributions-on-lie-groups-1903.02958"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-enumerating-local-minima-based-on-gaussian-process-derivatives-1903.03279</loc><lastmod>2019-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-enumerating-local-minima-based-on-gaussian-process-derivatives-1903.03279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-enumerating-local-minima-based-on-gaussian-process-derivatives-1903.03279"/></url>
<url><loc>https://scifaro.com/en/abs/should-we-reload-time-series-classification-performance-evaluation-a-position-paper-1903.03300</loc><lastmod>2019-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/should-we-reload-time-series-classification-performance-evaluation-a-position-paper-1903.03300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/should-we-reload-time-series-classification-performance-evaluation-a-position-paper-1903.03300"/></url>
<url><loc>https://scifaro.com/en/abs/random-matrix-improved-estimation-of-the-wasserstein-distance-between-two-centered-gaussian-distributions-1903.03447</loc><lastmod>2019-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-matrix-improved-estimation-of-the-wasserstein-distance-between-two-centered-gaussian-distributions-1903.03447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-matrix-improved-estimation-of-the-wasserstein-distance-between-two-centered-gaussian-distributions-1903.03447"/></url>
<url><loc>https://scifaro.com/en/abs/support-and-invertibility-in-domain-invariant-representations-1903.03448</loc><lastmod>2019-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/support-and-invertibility-in-domain-invariant-representations-1903.03448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/support-and-invertibility-in-domain-invariant-representations-1903.03448"/></url>
<url><loc>https://scifaro.com/en/abs/rates-of-convergence-for-sparse-variational-gaussian-process-regression-1903.03571</loc><lastmod>2019-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rates-of-convergence-for-sparse-variational-gaussian-process-regression-1903.03571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rates-of-convergence-for-sparse-variational-gaussian-process-regression-1903.03571"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-sparse-jl-for-feature-hashing-1903.03605</loc><lastmod>2020-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-sparse-jl-for-feature-hashing-1903.03605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-sparse-jl-for-feature-hashing-1903.03605"/></url>
<url><loc>https://scifaro.com/en/abs/imputation-estimators-for-unnormalized-models-with-missing-data-1903.03630</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imputation-estimators-for-unnormalized-models-with-missing-data-1903.03630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imputation-estimators-for-unnormalized-models-with-missing-data-1903.03630"/></url>
<url><loc>https://scifaro.com/en/abs/orthogonal-estimation-of-wasserstein-distances-1903.03784</loc><lastmod>2019-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthogonal-estimation-of-wasserstein-distances-1903.03784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthogonal-estimation-of-wasserstein-distances-1903.03784"/></url>
<url><loc>https://scifaro.com/en/abs/interpolation-consistency-training-for-semi-supervised-learning-1903.03825</loc><lastmod>2022-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpolation-consistency-training-for-semi-supervised-learning-1903.03825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpolation-consistency-training-for-semi-supervised-learning-1903.03825"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-of-joint-models-using-multivariate-gaussian-convolution-processes-1903.03867</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-of-joint-models-using-multivariate-gaussian-convolution-processes-1903.03867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-of-joint-models-using-multivariate-gaussian-convolution-processes-1903.03867"/></url>
<url><loc>https://scifaro.com/en/abs/functional-principal-component-analysis-for-extrapolating-multi-stream-longitudinal-data-1903.03871</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-principal-component-analysis-for-extrapolating-multi-stream-longitudinal-data-1903.03871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-principal-component-analysis-for-extrapolating-multi-stream-longitudinal-data-1903.03871"/></url>
<url><loc>https://scifaro.com/en/abs/semantics-preserving-adversarial-learning-1903.03905</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semantics-preserving-adversarial-learning-1903.03905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semantics-preserving-adversarial-learning-1903.03905"/></url>
<url><loc>https://scifaro.com/en/abs/rectangular-bounding-process-1903.03906</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rectangular-bounding-process-1903.03906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rectangular-bounding-process-1903.03906"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-grouped-gaussian-processes-via-direct-cholesky-functional-representations-1903.03986</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-grouped-gaussian-processes-via-direct-cholesky-functional-representations-1903.03986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-grouped-gaussian-processes-via-direct-cholesky-functional-representations-1903.03986"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-propagation-in-deep-neural-network-using-active-subspace-1903.03989</loc><lastmod>2020-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-propagation-in-deep-neural-network-using-active-subspace-1903.03989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-propagation-in-deep-neural-network-using-active-subspace-1903.03989"/></url>
<url><loc>https://scifaro.com/en/abs/beta-3-irt-a-new-item-response-model-and-its-applications-1903.04016</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beta-3-irt-a-new-item-response-model-and-its-applications-1903.04016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beta-3-irt-a-new-item-response-model-and-its-applications-1903.04016"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-free-mcmc-with-amortized-approximate-ratio-estimators-1903.04057</loc><lastmod>2020-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-free-mcmc-with-amortized-approximate-ratio-estimators-1903.04057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-free-mcmc-with-amortized-approximate-ratio-estimators-1903.04057"/></url>
<url><loc>https://scifaro.com/en/abs/a-cross-center-smoothness-prior-for-variational-bayesian-brain-tissue-segmentation-1903.04191</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-cross-center-smoothness-prior-for-variational-bayesian-brain-tissue-segmentation-1903.04191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-cross-center-smoothness-prior-for-variational-bayesian-brain-tissue-segmentation-1903.04191"/></url>
<url><loc>https://scifaro.com/en/abs/from-interpretability-to-inference-an-estimation-framework-for-universal-approximators-1903.04209</loc><lastmod>2024-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-interpretability-to-inference-an-estimation-framework-for-universal-approximators-1903.04209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-interpretability-to-inference-an-estimation-framework-for-universal-approximators-1903.04209"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-allocation-model-inference-by-sequential-monte-carlo-for-nonnegative-tensor-factorizations-and-topic-models-using-polya-urns-1903.04478</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-allocation-model-inference-by-sequential-monte-carlo-for-nonnegative-tensor-factorizations-and-topic-models-using-polya-urns-1903.04478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-allocation-model-inference-by-sequential-monte-carlo-for-nonnegative-tensor-factorizations-and-topic-models-using-polya-urns-1903.04478"/></url>
<url><loc>https://scifaro.com/en/abs/wavelet-regression-and-additive-models-for-irregularly-spaced-data-1903.04631</loc><lastmod>2019-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wavelet-regression-and-additive-models-for-irregularly-spaced-data-1903.04631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wavelet-regression-and-additive-models-for-irregularly-spaced-data-1903.04631"/></url>
<url><loc>https://scifaro.com/en/abs/elements-of-sequential-monte-carlo-1903.04797</loc><lastmod>2024-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elements-of-sequential-monte-carlo-1903.04797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elements-of-sequential-monte-carlo-1903.04797"/></url>
<url><loc>https://scifaro.com/en/abs/testing-conditional-independence-on-discrete-data-using-stochastic-complexity-1903.04829</loc><lastmod>2019-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-conditional-independence-on-discrete-data-using-stochastic-complexity-1903.04829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-conditional-independence-on-discrete-data-using-stochastic-complexity-1903.04829"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-measurement-of-feature-importance-in-tree-based-methods-1903.05179</loc><lastmod>2020-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-measurement-of-feature-importance-in-tree-based-methods-1903.05179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-measurement-of-feature-importance-in-tree-based-methods-1903.05179"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-in-practice-1903.05202</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-in-practice-1903.05202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-in-practice-1903.05202"/></url>
<url><loc>https://scifaro.com/en/abs/transmission-matrix-inference-via-pseudolikelihood-decimation-1903.05379</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transmission-matrix-inference-via-pseudolikelihood-decimation-1903.05379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transmission-matrix-inference-via-pseudolikelihood-decimation-1903.05379"/></url>
<url><loc>https://scifaro.com/en/abs/an-exponential-efron-stein-inequality-for-lq-stable-learning-rules-1903.05457</loc><lastmod>2019-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-exponential-efron-stein-inequality-for-lq-stable-learning-rules-1903.05457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-exponential-efron-stein-inequality-for-lq-stable-learning-rules-1903.05457"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bayesian-optimal-experimental-design-1903.05480</loc><lastmod>2020-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayesian-optimal-experimental-design-1903.05480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayesian-optimal-experimental-design-1903.05480"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-class-imbalanced-business-risk-using-resampling-regularization-and-model-ensembling-algorithms-1903.05535</loc><lastmod>2019-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-class-imbalanced-business-risk-using-resampling-regularization-and-model-ensembling-algorithms-1903.05535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-class-imbalanced-business-risk-using-resampling-regularization-and-model-ensembling-algorithms-1903.05535"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-optimization-with-adaptive-sketching-scalable-and-no-regret-1903.05594</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-optimization-with-adaptive-sketching-scalable-and-no-regret-1903.05594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-optimization-with-adaptive-sketching-scalable-and-no-regret-1903.05594"/></url>
<url><loc>https://scifaro.com/en/abs/trajectory-optimization-for-unknown-constrained-systems-using-reinforcement-learning-1903.05751</loc><lastmod>2020-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trajectory-optimization-for-unknown-constrained-systems-using-reinforcement-learning-1903.05751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trajectory-optimization-for-unknown-constrained-systems-using-reinforcement-learning-1903.05751"/></url>
<url><loc>https://scifaro.com/en/abs/learning-dependency-structures-for-weak-supervision-models-1903.05844</loc><lastmod>2019-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-dependency-structures-for-weak-supervision-models-1903.05844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-dependency-structures-for-weak-supervision-models-1903.05844"/></url>
<url><loc>https://scifaro.com/en/abs/deep-distribution-regression-1903.06023</loc><lastmod>2019-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-distribution-regression-1903.06023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-distribution-regression-1903.06023"/></url>
<url><loc>https://scifaro.com/en/abs/on-target-shift-in-adversarial-domain-adaptation-1903.06336</loc><lastmod>2019-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-target-shift-in-adversarial-domain-adaptation-1903.06336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-target-shift-in-adversarial-domain-adaptation-1903.06336"/></url>
<url><loc>https://scifaro.com/en/abs/learning-latent-representations-of-bank-customers-with-the-variational-autoencoder-1903.06580</loc><lastmod>2019-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-latent-representations-of-bank-customers-with-the-variational-autoencoder-1903.06580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-latent-representations-of-bank-customers-with-the-variational-autoencoder-1903.06580"/></url>
<url><loc>https://scifaro.com/en/abs/tuning-hyperparameters-without-grad-students-scalable-and-robust-bayesian-optimisation-with-dragonfly-1903.06694</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tuning-hyperparameters-without-grad-students-scalable-and-robust-bayesian-optimisation-with-dragonfly-1903.06694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tuning-hyperparameters-without-grad-students-scalable-and-robust-bayesian-optimisation-with-dragonfly-1903.06694"/></url>
<url><loc>https://scifaro.com/en/abs/dying-relu-and-initialization-theory-and-numerical-examples-1903.06733</loc><lastmod>2020-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dying-relu-and-initialization-theory-and-numerical-examples-1903.06733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dying-relu-and-initialization-theory-and-numerical-examples-1903.06733"/></url>
<url><loc>https://scifaro.com/en/abs/on-multi-armed-bandit-designs-for-dose-finding-clinical-trials-1903.07082</loc><lastmod>2020-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-multi-armed-bandit-designs-for-dose-finding-clinical-trials-1903.07082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-multi-armed-bandit-designs-for-dose-finding-clinical-trials-1903.07082"/></url>
<url><loc>https://scifaro.com/en/abs/deep-gaussian-processes-for-multi-fidelity-modeling-1903.07320</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-gaussian-processes-for-multi-fidelity-modeling-1903.07320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-gaussian-processes-for-multi-fidelity-modeling-1903.07320"/></url>
<url><loc>https://scifaro.com/en/abs/on-deep-set-learning-and-the-choice-of-aggregations-1903.07348</loc><lastmod>2020-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-deep-set-learning-and-the-choice-of-aggregations-1903.07348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-deep-set-learning-and-the-choice-of-aggregations-1903.07348"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-exponential-family-models-not-single-distributions-with-a-two-network-architecture-1903.07515</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-exponential-family-models-not-single-distributions-with-a-two-network-architecture-1903.07515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-exponential-family-models-not-single-distributions-with-a-two-network-architecture-1903.07515"/></url>
<url><loc>https://scifaro.com/en/abs/combining-model-and-parameter-uncertainty-in-bayesian-neural-networks-1903.07594</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-model-and-parameter-uncertainty-in-bayesian-neural-networks-1903.07594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-model-and-parameter-uncertainty-in-bayesian-neural-networks-1903.07594"/></url>
<url><loc>https://scifaro.com/en/abs/deep-fundamental-factor-models-1903.07677</loc><lastmod>2020-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-fundamental-factor-models-1903.07677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-fundamental-factor-models-1903.07677"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-sets-in-multiple-instance-regression-applied-to-remote-sensing-1903.07745</loc><lastmod>2020-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-sets-in-multiple-instance-regression-applied-to-remote-sensing-1903.07745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-sets-in-multiple-instance-regression-applied-to-remote-sensing-1903.07745"/></url>
<url><loc>https://scifaro.com/en/abs/pairwise-comparisons-with-flexible-time-dynamics-1903.07746</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pairwise-comparisons-with-flexible-time-dynamics-1903.07746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pairwise-comparisons-with-flexible-time-dynamics-1903.07746"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-based-translations-of-convolutional-networks-1903.08131</loc><lastmod>2019-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-based-translations-of-convolutional-networks-1903.08131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-based-translations-of-convolutional-networks-1903.08131"/></url>
<url><loc>https://scifaro.com/en/abs/traversing-the-noise-of-dynamic-mini-batch-sub-sampled-loss-functions-a-visual-guide-1903.08552</loc><lastmod>2020-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/traversing-the-noise-of-dynamic-mini-batch-sub-sampled-loss-functions-a-visual-guide-1903.08552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/traversing-the-noise-of-dynamic-mini-batch-sub-sampled-loss-functions-a-visual-guide-1903.08552"/></url>
<url><loc>https://scifaro.com/en/abs/exact-slice-sampler-for-hierarchical-dirichlet-processes-1903.08829</loc><lastmod>2019-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-slice-sampler-for-hierarchical-dirichlet-processes-1903.08829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-slice-sampler-for-hierarchical-dirichlet-processes-1903.08829"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-optimization-of-sorting-networks-via-continuous-relaxations-1903.08850</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-optimization-of-sorting-networks-via-continuous-relaxations-1903.08850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-optimization-of-sorting-networks-via-continuous-relaxations-1903.08850"/></url>
<url><loc>https://scifaro.com/en/abs/individualized-multilayer-tensor-learning-with-an-application-in-imaging-analysis-1903.08871</loc><lastmod>2019-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/individualized-multilayer-tensor-learning-with-an-application-in-imaging-analysis-1903.08871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/individualized-multilayer-tensor-learning-with-an-application-in-imaging-analysis-1903.08871"/></url>
<url><loc>https://scifaro.com/en/abs/transferability-of-operational-status-classification-models-among-different-wind-turbine-typesq-1903.08901</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transferability-of-operational-status-classification-models-among-different-wind-turbine-typesq-1903.08901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transferability-of-operational-status-classification-models-among-different-wind-turbine-typesq-1903.08901"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bayesian-modelling-of-mixed-effects-1903.09003</loc><lastmod>2019-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayesian-modelling-of-mixed-effects-1903.09003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayesian-modelling-of-mixed-effects-1903.09003"/></url>
<url><loc>https://scifaro.com/en/abs/latent-simplex-position-model-high-dimensional-multi-view-clustering-with-uncertainty-quantification-1903.09029</loc><lastmod>2019-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-simplex-position-model-high-dimensional-multi-view-clustering-with-uncertainty-quantification-1903.09029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-simplex-position-model-high-dimensional-multi-view-clustering-with-uncertainty-quantification-1903.09029"/></url>
<url><loc>https://scifaro.com/en/abs/on-approximate-nonlinear-gaussian-message-passing-on-factor-graphs-1903.09136</loc><lastmod>2019-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-approximate-nonlinear-gaussian-message-passing-on-factor-graphs-1903.09136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-approximate-nonlinear-gaussian-message-passing-on-factor-graphs-1903.09136"/></url>
<url><loc>https://scifaro.com/en/abs/calibrated-top-1-uncertainty-estimates-for-classification-by-score-based-models-1903.09215</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrated-top-1-uncertainty-estimates-for-classification-by-score-based-models-1903.09215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrated-top-1-uncertainty-estimates-for-classification-by-score-based-models-1903.09215"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-parameter-estimates-for-regularized-mixed-linear-regression-models-1903.09235</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-parameter-estimates-for-regularized-mixed-linear-regression-models-1903.09235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-parameter-estimates-for-regularized-mixed-linear-regression-models-1903.09235"/></url>
<url><loc>https://scifaro.com/en/abs/multi-domain-adversarial-learning-1903.09239</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-domain-adversarial-learning-1903.09239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-domain-adversarial-learning-1903.09239"/></url>
<url><loc>https://scifaro.com/en/abs/the-binary-space-partitioning-tree-process-1903.09343</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-binary-space-partitioning-tree-process-1903.09343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-binary-space-partitioning-tree-process-1903.09343"/></url>
<url><loc>https://scifaro.com/en/abs/binary-space-partitioning-forests-1903.09348</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-space-partitioning-forests-1903.09348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-space-partitioning-forests-1903.09348"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-only-line-searches-an-alternative-to-probabilistic-line-searches-1903.09383</loc><lastmod>2020-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-only-line-searches-an-alternative-to-probabilistic-line-searches-1903.09383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-only-line-searches-an-alternative-to-probabilistic-line-searches-1903.09383"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-causality-and-impulse-response-with-neural-vector-autoregressions-1903.09395</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-causality-and-impulse-response-with-neural-vector-autoregressions-1903.09395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-causality-and-impulse-response-with-neural-vector-autoregressions-1903.09395"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-combination-forecasts-on-retail-multi-dimensional-sales-data-1903.09478</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-combination-forecasts-on-retail-multi-dimensional-sales-data-1903.09478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-combination-forecasts-on-retail-multi-dimensional-sales-data-1903.09478"/></url>
<url><loc>https://scifaro.com/en/abs/data-augmentation-for-bayesian-deep-learning-1903.09668</loc><lastmod>2022-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-augmentation-for-bayesian-deep-learning-1903.09668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-augmentation-for-bayesian-deep-learning-1903.09668"/></url>
<url><loc>https://scifaro.com/en/abs/expert-augmented-machine-learning-1903.09731</loc><lastmod>2022-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expert-augmented-machine-learning-1903.09731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expert-augmented-machine-learning-1903.09731"/></url>
<url><loc>https://scifaro.com/en/abs/semi-parametric-uncertainty-bounds-for-binary-classification-1903.09790</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-parametric-uncertainty-bounds-for-binary-classification-1903.09790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-parametric-uncertainty-bounds-for-binary-classification-1903.09790"/></url>
<url><loc>https://scifaro.com/en/abs/a-strongly-consistent-sparse-k-means-clustering-with-direct-l-1-penalization-on-variable-weights-1903.10039</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-strongly-consistent-sparse-k-means-clustering-with-direct-l-1-penalization-on-variable-weights-1903.10039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-strongly-consistent-sparse-k-means-clustering-with-direct-l-1-penalization-on-variable-weights-1903.10039"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-and-non-parametric-estimation-of-resnet-type-convolutional-neural-networks-1903.10047</loc><lastmod>2023-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-and-non-parametric-estimation-of-resnet-type-convolutional-neural-networks-1903.10047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-and-non-parametric-estimation-of-resnet-type-convolutional-neural-networks-1903.10047"/></url>
<url><loc>https://scifaro.com/en/abs/a-higher-order-kolmogorov-smirnov-test-1903.10083</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-higher-order-kolmogorov-smirnov-test-1903.10083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-higher-order-kolmogorov-smirnov-test-1903.10083"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-hamiltonian-monte-carlo-for-non-convex-learning-1903.10328</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-hamiltonian-monte-carlo-for-non-convex-learning-1903.10328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-hamiltonian-monte-carlo-for-non-convex-learning-1903.10328"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-individual-predictions-when-features-are-dependent-more-accurate-approximations-to-shapley-values-1903.10464</loc><lastmod>2020-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-individual-predictions-when-features-are-dependent-more-accurate-approximations-to-shapley-values-1903.10464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-individual-predictions-when-features-are-dependent-more-accurate-approximations-to-shapley-values-1903.10464"/></url>
<url><loc>https://scifaro.com/en/abs/autoencoding-binary-classifiers-for-supervised-anomaly-detection-1903.10709</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoencoding-binary-classifiers-for-supervised-anomaly-detection-1903.10709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoencoding-binary-classifiers-for-supervised-anomaly-detection-1903.10709"/></url>
<url><loc>https://scifaro.com/en/abs/improving-image-classifiers-for-small-datasets-by-learning-rate-adaptations-1903.10726</loc><lastmod>2019-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-image-classifiers-for-small-datasets-by-learning-rate-adaptations-1903.10726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-image-classifiers-for-small-datasets-by-learning-rate-adaptations-1903.10726"/></url>
<url><loc>https://scifaro.com/en/abs/improve-diverse-text-generation-by-self-labeling-conditional-variational-auto-encoder-1903.10842</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improve-diverse-text-generation-by-self-labeling-conditional-variational-auto-encoder-1903.10842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improve-diverse-text-generation-by-self-labeling-conditional-variational-auto-encoder-1903.10842"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-adversarial-robustness-of-multivariate-robust-estimation-1903.11220</loc><lastmod>2019-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-adversarial-robustness-of-multivariate-robust-estimation-1903.11220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-adversarial-robustness-of-multivariate-robust-estimation-1903.11220"/></url>
<url><loc>https://scifaro.com/en/abs/eigenvalue-and-generalized-eigenvalue-problems-tutorial-1903.11240</loc><lastmod>2023-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eigenvalue-and-generalized-eigenvalue-problems-tutorial-1903.11240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eigenvalue-and-generalized-eigenvalue-problems-tutorial-1903.11240"/></url>
<url><loc>https://scifaro.com/en/abs/an-alternating-manifold-proximal-gradient-method-for-sparse-pca-and-sparse-cca-1903.11576</loc><lastmod>2019-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-alternating-manifold-proximal-gradient-method-for-sparse-pca-and-sparse-cca-1903.11576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-alternating-manifold-proximal-gradient-method-for-sparse-pca-and-sparse-cca-1903.11576"/></url>
<url><loc>https://scifaro.com/en/abs/outlier-robust-spatial-perception-hardness-general-purpose-algorithms-and-guarantees-1903.11683</loc><lastmod>2019-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outlier-robust-spatial-perception-hardness-general-purpose-algorithms-and-guarantees-1903.11683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outlier-robust-spatial-perception-hardness-general-purpose-algorithms-and-guarantees-1903.11683"/></url>
<url><loc>https://scifaro.com/en/abs/stable-prediction-with-radiomics-data-1903.11696</loc><lastmod>2019-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-prediction-with-radiomics-data-1903.11696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-prediction-with-radiomics-data-1903.11696"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-surrogate-models-for-sequential-decision-making-1903.11907</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-surrogate-models-for-sequential-decision-making-1903.11907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-surrogate-models-for-sequential-decision-making-1903.11907"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-stability-and-generalization-of-learning-with-kernel-activation-functions-1903.11990</loc><lastmod>2019-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-stability-and-generalization-of-learning-with-kernel-activation-functions-1903.11990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-stability-and-generalization-of-learning-with-kernel-activation-functions-1903.11990"/></url>
<url><loc>https://scifaro.com/en/abs/nearest-neighbor-neural-networks-for-geostatistics-1903.12125</loc><lastmod>2019-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearest-neighbor-neural-networks-for-geostatistics-1903.12125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearest-neighbor-neural-networks-for-geostatistics-1903.12125"/></url>
<url><loc>https://scifaro.com/en/abs/toroidal-autoencoder-1903.12286</loc><lastmod>2019-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toroidal-autoencoder-1903.12286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toroidal-autoencoder-1903.12286"/></url>
<url><loc>https://scifaro.com/en/abs/an-analysis-of-the-cost-of-hyper-parameter-selection-via-split-sample-validation-with-applications-to-penalized-regression-1903.12297</loc><lastmod>2019-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-analysis-of-the-cost-of-hyper-parameter-selection-via-split-sample-validation-with-applications-to-penalized-regression-1903.12297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-analysis-of-the-cost-of-hyper-parameter-selection-via-split-sample-validation-with-applications-to-penalized-regression-1903.12297"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-langevin-algorithms-for-sampling-from-log-concave-densities-1903.12322</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-langevin-algorithms-for-sampling-from-log-concave-densities-1903.12322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-langevin-algorithms-for-sampling-from-log-concave-densities-1903.12322"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-anatomy-of-mcmc-based-maximum-likelihood-learning-of-energy-based-models-1903.12370</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-anatomy-of-mcmc-based-maximum-likelihood-learning-of-energy-based-models-1903.12370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-anatomy-of-mcmc-based-maximum-likelihood-learning-of-energy-based-models-1903.12370"/></url>
<url><loc>https://scifaro.com/en/abs/informed-machine-learning-a-taxonomy-and-survey-of-integrating-knowledge-into-learning-systems-1903.12394</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/informed-machine-learning-a-taxonomy-and-survey-of-integrating-knowledge-into-learning-systems-1903.12394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/informed-machine-learning-a-taxonomy-and-survey-of-integrating-knowledge-into-learning-systems-1903.12394"/></url>
<url><loc>https://scifaro.com/en/abs/the-false-positive-control-lasso-1903.12584</loc><lastmod>2019-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-false-positive-control-lasso-1903.12584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-false-positive-control-lasso-1903.12584"/></url>
<url><loc>https://scifaro.com/en/abs/a-proof-of-convergence-of-multi-class-logistic-regression-network-1903.12600</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-proof-of-convergence-of-multi-class-logistic-regression-network-1903.12600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-proof-of-convergence-of-multi-class-logistic-regression-network-1903.12600"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-black-box-models-via-hypothesis-testing-1904.00045</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-black-box-models-via-hypothesis-testing-1904.00045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-black-box-models-via-hypothesis-testing-1904.00045"/></url>
<url><loc>https://scifaro.com/en/abs/data-amplification-a-unified-and-competitive-approach-to-property-estimation-1904.00070</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-amplification-a-unified-and-competitive-approach-to-property-estimation-1904.00070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-amplification-a-unified-and-competitive-approach-to-property-estimation-1904.00070"/></url>
<url><loc>https://scifaro.com/en/abs/on-arrhythmia-detection-by-deep-learning-and-multidimensional-representation-1904.00138</loc><lastmod>2019-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-arrhythmia-detection-by-deep-learning-and-multidimensional-representation-1904.00138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-arrhythmia-detection-by-deep-learning-and-multidimensional-representation-1904.00138"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-density-estimation-for-high-dimensional-data-algorithms-and-applications-1904.00176</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-density-estimation-for-high-dimensional-data-algorithms-and-applications-1904.00176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-density-estimation-for-high-dimensional-data-algorithms-and-applications-1904.00176"/></url>
<url><loc>https://scifaro.com/en/abs/nearly-minimax-optimal-regret-for-linearly-parameterized-bandits-1904.00242</loc><lastmod>2020-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearly-minimax-optimal-regret-for-linearly-parameterized-bandits-1904.00242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearly-minimax-optimal-regret-for-linearly-parameterized-bandits-1904.00242"/></url>
<url><loc>https://scifaro.com/en/abs/perturbative-estimation-of-stochastic-gradients-1904.00469</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perturbative-estimation-of-stochastic-gradients-1904.00469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perturbative-estimation-of-stochastic-gradients-1904.00469"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-tensor-additive-regression-1904.00479</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-tensor-additive-regression-1904.00479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-tensor-additive-regression-1904.00479"/></url>
<url><loc>https://scifaro.com/en/abs/semisupervised-clustering-by-queries-and-locally-encodable-source-coding-1904.00507</loc><lastmod>2020-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semisupervised-clustering-by-queries-and-locally-encodable-source-coding-1904.00507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semisupervised-clustering-by-queries-and-locally-encodable-source-coding-1904.00507"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-contextual-anomaly-detection-using-joint-deep-variational-generative-models-1904.00548</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-contextual-anomaly-detection-using-joint-deep-variational-generative-models-1904.00548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-contextual-anomaly-detection-using-joint-deep-variational-generative-models-1904.00548"/></url>
<url><loc>https://scifaro.com/en/abs/robust-optimisation-monte-carlo-1904.00670</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-optimisation-monte-carlo-1904.00670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-optimisation-monte-carlo-1904.00670"/></url>
<url><loc>https://scifaro.com/en/abs/non-linear-aggregation-of-filters-to-improve-image-denoising-1904.00865</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-linear-aggregation-of-filters-to-improve-image-denoising-1904.00865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-linear-aggregation-of-filters-to-improve-image-denoising-1904.00865"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-for-policy-search-via-online-offline-experimentation-1904.01049</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-for-policy-search-via-online-offline-experimentation-1904.01049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-for-policy-search-via-online-offline-experimentation-1904.01049"/></url>
<url><loc>https://scifaro.com/en/abs/the-impact-of-extraneous-variables-on-the-performance-of-recurrent-neural-network-models-in-clinical-tasks-1904.01125</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-impact-of-extraneous-variables-on-the-performance-of-recurrent-neural-network-models-in-clinical-tasks-1904.01125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-impact-of-extraneous-variables-on-the-performance-of-recurrent-neural-network-models-in-clinical-tasks-1904.01125"/></url>
<url><loc>https://scifaro.com/en/abs/why-resnet-works-residuals-generalize-1904.01367</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-resnet-works-residuals-generalize-1904.01367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-resnet-works-residuals-generalize-1904.01367"/></url>
<url><loc>https://scifaro.com/en/abs/uafs-uncertainty-aware-feature-selection-for-problems-with-missing-data-1904.01385</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uafs-uncertainty-aware-feature-selection-for-problems-with-missing-data-1904.01385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uafs-uncertainty-aware-feature-selection-for-problems-with-missing-data-1904.01385"/></url>
<url><loc>https://scifaro.com/en/abs/generating-labels-for-regression-of-subjective-constructs-using-triplet-embeddings-1904.01643</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-labels-for-regression-of-subjective-constructs-using-triplet-embeddings-1904.01643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-labels-for-regression-of-subjective-constructs-using-triplet-embeddings-1904.01643"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-adaptive-design-for-jump-regression-estimation-1904.01648</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-adaptive-design-for-jump-regression-estimation-1904.01648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-adaptive-design-for-jump-regression-estimation-1904.01648"/></url>
<url><loc>https://scifaro.com/en/abs/augmented-neural-odes-1904.01681</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmented-neural-odes-1904.01681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmented-neural-odes-1904.01681"/></url>
<url><loc>https://scifaro.com/en/abs/batched-multi-armed-bandits-problem-1904.01763</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batched-multi-armed-bandits-problem-1904.01763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batched-multi-armed-bandits-problem-1904.01763"/></url>
<url><loc>https://scifaro.com/en/abs/fourier-phase-retrieval-with-extended-support-estimation-via-deep-neural-network-1904.01821</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fourier-phase-retrieval-with-extended-support-estimation-via-deep-neural-network-1904.01821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fourier-phase-retrieval-with-extended-support-estimation-via-deep-neural-network-1904.01821"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-variational-inference-three-arguments-for-deriving-new-posteriors-1904.02063</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-variational-inference-three-arguments-for-deriving-new-posteriors-1904.02063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-variational-inference-three-arguments-for-deriving-new-posteriors-1904.02063"/></url>
<url><loc>https://scifaro.com/en/abs/minimum-volume-topic-modeling-1904.02064</loc><lastmod>2019-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimum-volume-topic-modeling-1904.02064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimum-volume-topic-modeling-1904.02064"/></url>
<url><loc>https://scifaro.com/en/abs/the-medical-deconfounder-assessing-treatment-effects-with-electronic-health-records-1904.02098</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-medical-deconfounder-assessing-treatment-effects-with-electronic-health-records-1904.02098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-medical-deconfounder-assessing-treatment-effects-with-electronic-health-records-1904.02098"/></url>
<url><loc>https://scifaro.com/en/abs/robust-deep-gaussian-processes-1904.02303</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-deep-gaussian-processes-1904.02303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-deep-gaussian-processes-1904.02303"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-acquisition-functions-for-transfer-learning-in-bayesian-optimization-1904.02642</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-acquisition-functions-for-transfer-learning-in-bayesian-optimization-1904.02642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-acquisition-functions-for-transfer-learning-in-bayesian-optimization-1904.02642"/></url>
<url><loc>https://scifaro.com/en/abs/data-shapley-equitable-valuation-of-data-for-machine-learning-1904.02868</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-shapley-equitable-valuation-of-data-for-machine-learning-1904.02868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-shapley-equitable-valuation-of-data-for-machine-learning-1904.02868"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneous-dimensionality-and-complexity-model-selection-for-spectral-graph-clustering-1904.02926</loc><lastmod>2020-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneous-dimensionality-and-complexity-model-selection-for-spectral-graph-clustering-1904.02926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneous-dimensionality-and-complexity-model-selection-for-spectral-graph-clustering-1904.02926"/></url>
<url><loc>https://scifaro.com/en/abs/local-regularization-of-noisy-point-clouds-improved-global-geometric-estimates-and-data-analysis-1904.03335</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-regularization-of-noisy-point-clouds-improved-global-geometric-estimates-and-data-analysis-1904.03335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-regularization-of-noisy-point-clouds-improved-global-geometric-estimates-and-data-analysis-1904.03335"/></url>
<url><loc>https://scifaro.com/en/abs/toward-universal-testing-of-dynamic-network-models-1904.03348</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-universal-testing-of-dynamic-network-models-1904.03348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-universal-testing-of-dynamic-network-models-1904.03348"/></url>
<url><loc>https://scifaro.com/en/abs/fildne-a-framework-for-incremental-learning-of-dynamic-networks-embeddings-1904.03423</loc><lastmod>2020-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fildne-a-framework-for-incremental-learning-of-dynamic-networks-embeddings-1904.03423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fildne-a-framework-for-incremental-learning-of-dynamic-networks-embeddings-1904.03423"/></url>
<url><loc>https://scifaro.com/en/abs/precision-matrix-estimation-with-noisy-and-missing-data-1904.03548</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/precision-matrix-estimation-with-noisy-and-missing-data-1904.03548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/precision-matrix-estimation-with-noisy-and-missing-data-1904.03548"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-estimation-of-mixed-multinomial-logit-models-advances-and-simulation-based-evaluations-1904.03647</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-estimation-of-mixed-multinomial-logit-models-advances-and-simulation-based-evaluations-1904.03647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-estimation-of-mixed-multinomial-logit-models-advances-and-simulation-based-evaluations-1904.03647"/></url>
<url><loc>https://scifaro.com/en/abs/every-local-minimum-value-is-the-global-minimum-value-of-induced-model-in-non-convex-machine-learning-1904.03673</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/every-local-minimum-value-is-the-global-minimum-value-of-induced-model-in-non-convex-machine-learning-1904.03673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/every-local-minimum-value-is-the-global-minimum-value-of-induced-model-in-non-convex-machine-learning-1904.03673"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-investigation-of-long-memory-in-language-and-music-1904.03834</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-investigation-of-long-memory-in-language-and-music-1904.03834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-investigation-of-long-memory-in-language-and-music-1904.03834"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-model-complexity-via-functional-decomposition-for-better-post-hoc-interpretability-1904.03867</loc><lastmod>2022-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-model-complexity-via-functional-decomposition-for-better-post-hoc-interpretability-1904.03867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-model-complexity-via-functional-decomposition-for-better-post-hoc-interpretability-1904.03867"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-matrix-completion-for-multi-label-image-classification-1904.03901</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-matrix-completion-for-multi-label-image-classification-1904.03901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-matrix-completion-for-multi-label-image-classification-1904.03901"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-active-learning-and-design-of-statistical-experiments-for-manifold-valued-data-1904.03909</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-active-learning-and-design-of-statistical-experiments-for-manifold-valued-data-1904.03909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-active-learning-and-design-of-statistical-experiments-for-manifold-valued-data-1904.03909"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalization-bound-for-online-variational-inference-1904.03920</loc><lastmod>2020-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalization-bound-for-online-variational-inference-1904.03920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalization-bound-for-online-variational-inference-1904.03920"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-vector-valued-manifold-regularization-for-multi-label-image-classification-1904.03921</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-vector-valued-manifold-regularization-for-multi-label-image-classification-1904.03921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-vector-valued-manifold-regularization-for-multi-label-image-classification-1904.03921"/></url>
<url><loc>https://scifaro.com/en/abs/component-wise-boosting-of-targets-for-multi-output-prediction-1904.03943</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/component-wise-boosting-of-targets-for-multi-output-prediction-1904.03943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/component-wise-boosting-of-targets-for-multi-output-prediction-1904.03943"/></url>
<url><loc>https://scifaro.com/en/abs/transferring-knowledge-fragments-for-learning-distance-metric-from-a-heterogeneous-domain-1904.04061</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transferring-knowledge-fragments-for-learning-distance-metric-from-a-heterogeneous-domain-1904.04061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transferring-knowledge-fragments-for-learning-distance-metric-from-a-heterogeneous-domain-1904.04061"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-multi-task-metric-learning-across-multiple-domains-1904.04081</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-multi-task-metric-learning-across-multiple-domains-1904.04081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-multi-task-metric-learning-across-multiple-domains-1904.04081"/></url>
<url><loc>https://scifaro.com/en/abs/large-margin-multi-modal-multi-task-feature-extraction-for-image-classification-1904.04088</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-margin-multi-modal-multi-task-feature-extraction-for-image-classification-1904.04088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-margin-multi-modal-multi-task-feature-extraction-for-image-classification-1904.04088"/></url>
<url><loc>https://scifaro.com/en/abs/asap-architecture-search-anneal-and-prune-1904.04123</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asap-architecture-search-anneal-and-prune-1904.04123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asap-architecture-search-anneal-and-prune-1904.04123"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-neural-networks-at-finite-temperature-1904.04154</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-neural-networks-at-finite-temperature-1904.04154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-neural-networks-at-finite-temperature-1904.04154"/></url>
<url><loc>https://scifaro.com/en/abs/on-nearly-assumption-free-tests-of-nominal-confidence-interval-coverage-for-causal-parameters-estimated-by-machine-learning-1904.04276</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-nearly-assumption-free-tests-of-nominal-confidence-interval-coverage-for-causal-parameters-estimated-by-machine-learning-1904.04276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-nearly-assumption-free-tests-of-nominal-confidence-interval-coverage-for-causal-parameters-estimated-by-machine-learning-1904.04276"/></url>
<url><loc>https://scifaro.com/en/abs/kernelized-complete-conditional-stein-discrepancy-1904.04478</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernelized-complete-conditional-stein-discrepancy-1904.04478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernelized-complete-conditional-stein-discrepancy-1904.04478"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-imbalanced-data-with-a-geometric-digraph-family-1904.04564</loc><lastmod>2019-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-imbalanced-data-with-a-geometric-digraph-family-1904.04564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-imbalanced-data-with-a-geometric-digraph-family-1904.04564"/></url>
<url><loc>https://scifaro.com/en/abs/functional-isolation-forest-1904.04573</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-isolation-forest-1904.04573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-isolation-forest-1904.04573"/></url>
<url><loc>https://scifaro.com/en/abs/block-neural-autoregressive-flow-1904.04676</loc><lastmod>2019-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/block-neural-autoregressive-flow-1904.04676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/block-neural-autoregressive-flow-1904.04676"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-analysis-via-low-rank-matrix-factorization-applied-to-infant-sleep-data-1904.04780</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-analysis-via-low-rank-matrix-factorization-applied-to-infant-sleep-data-1904.04780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-analysis-via-low-rank-matrix-factorization-applied-to-infant-sleep-data-1904.04780"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-time-series-momentum-strategies-using-deep-neural-networks-1904.04912</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-time-series-momentum-strategies-using-deep-neural-networks-1904.04912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-time-series-momentum-strategies-using-deep-neural-networks-1904.04912"/></url>
<url><loc>https://scifaro.com/en/abs/novel-uncertainty-framework-for-deep-learning-ensembles-1904.04917</loc><lastmod>2019-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/novel-uncertainty-framework-for-deep-learning-ensembles-1904.04917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/novel-uncertainty-framework-for-deep-learning-ensembles-1904.04917"/></url>
<url><loc>https://scifaro.com/en/abs/know-your-boundaries-constraining-gaussian-processes-by-variational-harmonic-features-1904.05207</loc><lastmod>2019-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/know-your-boundaries-constraining-gaussian-processes-by-variational-harmonic-features-1904.05207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/know-your-boundaries-constraining-gaussian-processes-by-variational-harmonic-features-1904.05207"/></url>
<url><loc>https://scifaro.com/en/abs/attraction-repulsion-clustering-with-applications-to-fairness-1904.05254</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attraction-repulsion-clustering-with-applications-to-fairness-1904.05254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attraction-repulsion-clustering-with-applications-to-fairness-1904.05254"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-decision-making-from-imbalanced-observational-data-1904.05268</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-decision-making-from-imbalanced-observational-data-1904.05268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-decision-making-from-imbalanced-observational-data-1904.05268"/></url>
<url><loc>https://scifaro.com/en/abs/new-computational-and-statistical-aspects-of-regularized-regression-with-application-to-rare-feature-selection-and-aggregation-1904.05338</loc><lastmod>2019-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-computational-and-statistical-aspects-of-regularized-regression-with-application-to-rare-feature-selection-and-aggregation-1904.05338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-computational-and-statistical-aspects-of-regularized-regression-with-application-to-rare-feature-selection-and-aggregation-1904.05338"/></url>
<url><loc>https://scifaro.com/en/abs/the-weight-function-in-the-subtree-kernel-is-decisive-1904.05421</loc><lastmod>2022-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-weight-function-in-the-subtree-kernel-is-decisive-1904.05421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-weight-function-in-the-subtree-kernel-is-decisive-1904.05421"/></url>
<url><loc>https://scifaro.com/en/abs/a-selective-overview-of-deep-learning-1904.05526</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-selective-overview-of-deep-learning-1904.05526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-selective-overview-of-deep-learning-1904.05526"/></url>
<url><loc>https://scifaro.com/en/abs/autoregressive-energy-machines-1904.05626</loc><lastmod>2019-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoregressive-energy-machines-1904.05626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoregressive-energy-machines-1904.05626"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-approach-for-underwater-gas-leakage-detection-1904.05661</loc><lastmod>2019-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-approach-for-underwater-gas-leakage-detection-1904.05661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-approach-for-underwater-gas-leakage-detection-1904.05661"/></url>
<url><loc>https://scifaro.com/en/abs/compressed-sensing-reconstruction-using-expectation-propagation-1904.05777</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressed-sensing-reconstruction-using-expectation-propagation-1904.05777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressed-sensing-reconstruction-using-expectation-propagation-1904.05777"/></url>
<url><loc>https://scifaro.com/en/abs/reference-product-search-1904.05985</loc><lastmod>2019-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reference-product-search-1904.05985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reference-product-search-1904.05985"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-anomaly-detection-based-on-deep-autoregressive-density-estimators-1904.06034</loc><lastmod>2019-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-anomaly-detection-based-on-deep-autoregressive-density-estimators-1904.06034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-anomaly-detection-based-on-deep-autoregressive-density-estimators-1904.06034"/></url>
<url><loc>https://scifaro.com/en/abs/geometry-aware-maximum-likelihood-estimation-of-intrinsic-dimension-1904.06151</loc><lastmod>2019-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometry-aware-maximum-likelihood-estimation-of-intrinsic-dimension-1904.06151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometry-aware-maximum-likelihood-estimation-of-intrinsic-dimension-1904.06151"/></url>
<url><loc>https://scifaro.com/en/abs/visualization-of-labeled-mixed-featured-datasets-1904.06366</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualization-of-labeled-mixed-featured-datasets-1904.06366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualization-of-labeled-mixed-featured-datasets-1904.06366"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-correntropy-criterion-with-variable-center-1904.06501</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-correntropy-criterion-with-variable-center-1904.06501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-correntropy-criterion-with-variable-center-1904.06501"/></url>
<url><loc>https://scifaro.com/en/abs/improved-precision-and-recall-metric-for-assessing-generative-models-1904.06991</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-precision-and-recall-metric-for-assessing-generative-models-1904.06991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-precision-and-recall-metric-for-assessing-generative-models-1904.06991"/></url>
<url><loc>https://scifaro.com/en/abs/copula-like-variational-inference-1904.07153</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/copula-like-variational-inference-1904.07153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/copula-like-variational-inference-1904.07153"/></url>
<url><loc>https://scifaro.com/en/abs/on-structured-filtering-clustering-global-error-bound-and-optimal-first-order-algorithms-1904.07462</loc><lastmod>2022-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-structured-filtering-clustering-global-error-bound-and-optimal-first-order-algorithms-1904.07462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-structured-filtering-clustering-global-error-bound-and-optimal-first-order-algorithms-1904.07462"/></url>
<url><loc>https://scifaro.com/en/abs/risk-bounds-for-learning-multiple-components-with-permutation-invariant-losses-1904.07594</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-bounds-for-learning-multiple-components-with-permutation-invariant-losses-1904.07594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-bounds-for-learning-multiple-components-with-permutation-invariant-losses-1904.07594"/></url>
<url><loc>https://scifaro.com/en/abs/p-olygamma-data-augmentation-to-address-non-conjugacy-in-the-bayesian-estimation-of-mixed-multinomial-logit-models-1904.07688</loc><lastmod>2019-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/p-olygamma-data-augmentation-to-address-non-conjugacy-in-the-bayesian-estimation-of-mixed-multinomial-logit-models-1904.07688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/p-olygamma-data-augmentation-to-address-non-conjugacy-in-the-bayesian-estimation-of-mixed-multinomial-logit-models-1904.07688"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-kernel-learning-for-integrative-consensus-clustering-of-omic-datasets-1904.07701</loc><lastmod>2020-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-kernel-learning-for-integrative-consensus-clustering-of-omic-datasets-1904.07701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-kernel-learning-for-integrative-consensus-clustering-of-omic-datasets-1904.07701"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-with-time-series-imaging-1904.08064</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-with-time-series-imaging-1904.08064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-with-time-series-imaging-1904.08064"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-investigation-for-chess-player-attention-prediction-using-eye-tracking-and-game-data-1904.08155</loc><lastmod>2019-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-investigation-for-chess-player-attention-prediction-using-eye-tracking-and-game-data-1904.08155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-investigation-for-chess-player-attention-prediction-using-eye-tracking-and-game-data-1904.08155"/></url>
<url><loc>https://scifaro.com/en/abs/x-armed-bandits-optimizing-quantiles-cvar-and-other-risks-1904.08205</loc><lastmod>2020-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/x-armed-bandits-optimizing-quantiles-cvar-and-other-risks-1904.08205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/x-armed-bandits-optimizing-quantiles-cvar-and-other-risks-1904.08205"/></url>
<url><loc>https://scifaro.com/en/abs/towards-robust-deep-reinforcement-learning-for-traffic-signal-control-demand-surges-incidents-and-sensor-failures-1904.08353</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-robust-deep-reinforcement-learning-for-traffic-signal-control-demand-surges-incidents-and-sensor-failures-1904.08353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-robust-deep-reinforcement-learning-for-traffic-signal-control-demand-surges-incidents-and-sensor-failures-1904.08353"/></url>
<url><loc>https://scifaro.com/en/abs/sacobra-with-online-whitening-for-solving-optimization-problems-with-high-conditioning-1904.08397</loc><lastmod>2019-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sacobra-with-online-whitening-for-solving-optimization-problems-with-high-conditioning-1904.08397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sacobra-with-online-whitening-for-solving-optimization-problems-with-high-conditioning-1904.08397"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-class-of-time-dependent-latent-factor-models-with-applications-1904.08548</loc><lastmod>2020-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-class-of-time-dependent-latent-factor-models-with-applications-1904.08548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-class-of-time-dependent-latent-factor-models-with-applications-1904.08548"/></url>
<url><loc>https://scifaro.com/en/abs/sponge-a-generalized-eigenproblem-for-clustering-signed-networks-1904.08575</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sponge-a-generalized-eigenproblem-for-clustering-signed-networks-1904.08575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sponge-a-generalized-eigenproblem-for-clustering-signed-networks-1904.08575"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-noise-in-gan-training-with-variance-reduced-extragradient-1904.08598</loc><lastmod>2020-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-noise-in-gan-training-with-variance-reduced-extragradient-1904.08598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-noise-in-gan-training-with-variance-reduced-extragradient-1904.08598"/></url>
<url><loc>https://scifaro.com/en/abs/causal-discovery-with-general-non-linear-relationships-using-non-linear-ica-1904.09096</loc><lastmod>2019-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-discovery-with-general-non-linear-relationships-using-non-linear-ica-1904.09096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-discovery-with-general-non-linear-relationships-using-non-linear-ica-1904.09096"/></url>
<url><loc>https://scifaro.com/en/abs/risk-convergence-of-centered-kernel-ridge-regression-with-large-dimensional-data-1904.09212</loc><lastmod>2020-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-convergence-of-centered-kernel-ridge-regression-with-large-dimensional-data-1904.09212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-convergence-of-centered-kernel-ridge-regression-with-large-dimensional-data-1904.09212"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-time-birth-death-mcmc-for-bayesian-regression-tree-models-1904.09339</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-time-birth-death-mcmc-for-bayesian-regression-tree-models-1904.09339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-time-birth-death-mcmc-for-bayesian-regression-tree-models-1904.09339"/></url>
<url><loc>https://scifaro.com/en/abs/perslay-a-neural-network-layer-for-persistence-diagrams-and-new-graph-topological-signatures-1904.09378</loc><lastmod>2020-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perslay-a-neural-network-layer-for-persistence-diagrams-and-new-graph-topological-signatures-1904.09378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perslay-a-neural-network-layer-for-persistence-diagrams-and-new-graph-topological-signatures-1904.09378"/></url>
<url><loc>https://scifaro.com/en/abs/tik-means-k-means-clustering-for-skewed-groups-1904.09609</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tik-means-k-means-clustering-for-skewed-groups-1904.09609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tik-means-k-means-clustering-for-skewed-groups-1904.09609"/></url>
<url><loc>https://scifaro.com/en/abs/mesh-learning-using-persistent-homology-on-the-laplacian-eigenfunctions-1904.09639</loc><lastmod>2019-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mesh-learning-using-persistent-homology-on-the-laplacian-eigenfunctions-1904.09639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mesh-learning-using-persistent-homology-on-the-laplacian-eigenfunctions-1904.09639"/></url>
<url><loc>https://scifaro.com/en/abs/learning-non-convergent-non-persistent-short-run-mcmc-toward-energy-based-model-1904.09770</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-non-convergent-non-persistent-short-run-mcmc-toward-energy-based-model-1904.09770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-non-convergent-non-persistent-short-run-mcmc-toward-energy-based-model-1904.09770"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-for-structured-graph-learning-via-spectral-constraints-1904.09792</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-for-structured-graph-learning-via-spectral-constraints-1904.09792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-for-structured-graph-learning-via-spectral-constraints-1904.09792"/></url>
<url><loc>https://scifaro.com/en/abs/regression-enhanced-random-forests-1904.10416</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regression-enhanced-random-forests-1904.10416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regression-enhanced-random-forests-1904.10416"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-mean-embedding-of-instance-wise-predictions-in-multiple-instance-regression-1904.10583</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-mean-embedding-of-instance-wise-predictions-in-multiple-instance-regression-1904.10583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-mean-embedding-of-instance-wise-predictions-in-multiple-instance-regression-1904.10583"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-leave-one-out-cross-validation-for-large-data-1904.10679</loc><lastmod>2020-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-leave-one-out-cross-validation-for-large-data-1904.10679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-leave-one-out-cross-validation-for-large-data-1904.10679"/></url>
<url><loc>https://scifaro.com/en/abs/an-exploratory-analysis-of-biased-learners-in-soft-sensing-frames-1904.10753</loc><lastmod>2019-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-exploratory-analysis-of-biased-learners-in-soft-sensing-frames-1904.10753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-exploratory-analysis-of-biased-learners-in-soft-sensing-frames-1904.10753"/></url>
<url><loc>https://scifaro.com/en/abs/s-2-lbi-stochastic-split-linearized-bregman-iterations-for-parsimonious-deep-learning-1904.10873</loc><lastmod>2019-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/s-2-lbi-stochastic-split-linearized-bregman-iterations-for-parsimonious-deep-learning-1904.10873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/s-2-lbi-stochastic-split-linearized-bregman-iterations-for-parsimonious-deep-learning-1904.10873"/></url>
<url><loc>https://scifaro.com/en/abs/learning-big-gaussian-bayesian-networks-partition-estimation-and-fusion-1904.10900</loc><lastmod>2020-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-big-gaussian-bayesian-networks-partition-estimation-and-fusion-1904.10900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-big-gaussian-bayesian-networks-partition-estimation-and-fusion-1904.10900"/></url>
<url><loc>https://scifaro.com/en/abs/treegrad-transferring-tree-ensembles-to-neural-networks-1904.11132</loc><lastmod>2020-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/treegrad-transferring-tree-ensembles-to-neural-networks-1904.11132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/treegrad-transferring-tree-ensembles-to-neural-networks-1904.11132"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-simulation-by-conditional-generative-adversarial-net-1904.11419</loc><lastmod>2019-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-simulation-by-conditional-generative-adversarial-net-1904.11419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-simulation-by-conditional-generative-adversarial-net-1904.11419"/></url>
<url><loc>https://scifaro.com/en/abs/from-predictions-to-prescriptions-in-multistage-optimization-problems-1904.11637</loc><lastmod>2019-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-predictions-to-prescriptions-in-multistage-optimization-problems-1904.11637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-predictions-to-prescriptions-in-multistage-optimization-problems-1904.11637"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-algorithms-for-quaternion-arma-model-1904.11830</loc><lastmod>2019-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-algorithms-for-quaternion-arma-model-1904.11830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-algorithms-for-quaternion-arma-model-1904.11830"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-student-performance-in-an-educational-game-using-a-hidden-markov-model-1904.11857</loc><lastmod>2019-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-student-performance-in-an-educational-game-using-a-hidden-markov-model-1904.11857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-student-performance-in-an-educational-game-using-a-hidden-markov-model-1904.11857"/></url>
<url><loc>https://scifaro.com/en/abs/simulating-execution-time-of-tensor-programs-using-graph-neural-networks-1904.11876</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulating-execution-time-of-tensor-programs-using-graph-neural-networks-1904.11876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulating-execution-time-of-tensor-programs-using-graph-neural-networks-1904.11876"/></url>
<url><loc>https://scifaro.com/en/abs/graph-kernels-a-survey-1904.12218</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-kernels-a-survey-1904.12218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-kernels-a-survey-1904.12218"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-regularized-cholesky-score-for-order-based-learning-of-bayesian-networks-1904.12360</loc><lastmod>2020-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-regularized-cholesky-score-for-order-based-learning-of-bayesian-networks-1904.12360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-regularized-cholesky-score-for-order-based-learning-of-bayesian-networks-1904.12360"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-principal-eigenmatrix-analysis-1904.12369</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-principal-eigenmatrix-analysis-1904.12369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-principal-eigenmatrix-analysis-1904.12369"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-model-building-in-gefcom-2017-qualifying-match-1904.12608</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-model-building-in-gefcom-2017-qualifying-match-1904.12608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-model-building-in-gefcom-2017-qualifying-match-1904.12608"/></url>
<url><loc>https://scifaro.com/en/abs/neuromorphic-acceleration-for-approximate-bayesian-inference-on-neural-networks-via-permanent-dropout-1904.12904</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuromorphic-acceleration-for-approximate-bayesian-inference-on-neural-networks-via-permanent-dropout-1904.12904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuromorphic-acceleration-for-approximate-bayesian-inference-on-neural-networks-via-permanent-dropout-1904.12904"/></url>
<url><loc>https://scifaro.com/en/abs/on-stationary-point-hitting-time-and-ergodicity-of-stochastic-gradient-langevin-dynamics-1904.13016</loc><lastmod>2020-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-stationary-point-hitting-time-and-ergodicity-of-stochastic-gradient-langevin-dynamics-1904.13016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-stationary-point-hitting-time-and-ergodicity-of-stochastic-gradient-langevin-dynamics-1904.13016"/></url>
<url><loc>https://scifaro.com/en/abs/active-manifolds-a-non-linear-analogue-to-active-subspaces-1904.13386</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-manifolds-a-non-linear-analogue-to-active-subspaces-1904.13386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-manifolds-a-non-linear-analogue-to-active-subspaces-1904.13386"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-distribution-distillation-1905.00076</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-distribution-distillation-1905.00076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-distribution-distillation-1905.00076"/></url>
<url><loc>https://scifaro.com/en/abs/ls-svr-as-a-bayesian-rbf-network-1905.00332</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ls-svr-as-a-bayesian-rbf-network-1905.00332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ls-svr-as-a-bayesian-rbf-network-1905.00332"/></url>
<url><loc>https://scifaro.com/en/abs/semi-conditional-normalizing-flows-for-semi-supervised-learning-1905.00505</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-conditional-normalizing-flows-for-semi-supervised-learning-1905.00505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-conditional-normalizing-flows-for-semi-supervised-learning-1905.00505"/></url>
<url><loc>https://scifaro.com/en/abs/learning-higher-order-sequential-structure-with-cloned-hmms-1905.00507</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-higher-order-sequential-structure-with-cloned-hmms-1905.00507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-higher-order-sequential-structure-with-cloned-hmms-1905.00507"/></url>
<url><loc>https://scifaro.com/en/abs/drug-drug-adverse-effect-prediction-with-graph-co-attention-1905.00534</loc><lastmod>2019-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/drug-drug-adverse-effect-prediction-with-graph-co-attention-1905.00534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/drug-drug-adverse-effect-prediction-with-graph-co-attention-1905.00534"/></url>
<url><loc>https://scifaro.com/en/abs/phase-transition-in-pca-with-missing-data-reduced-signal-to-noise-ratio-not-sample-size-1905.00709</loc><lastmod>2020-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phase-transition-in-pca-with-missing-data-reduced-signal-to-noise-ratio-not-sample-size-1905.00709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phase-transition-in-pca-with-missing-data-reduced-signal-to-noise-ratio-not-sample-size-1905.00709"/></url>
<url><loc>https://scifaro.com/en/abs/you-only-propagate-once-accelerating-adversarial-training-via-maximal-principle-1905.00877</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/you-only-propagate-once-accelerating-adversarial-training-via-maximal-principle-1905.00877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/you-only-propagate-once-accelerating-adversarial-training-via-maximal-principle-1905.00877"/></url>
<url><loc>https://scifaro.com/en/abs/a-tutorial-on-recursive-models-for-analyzing-and-predicting-path-choice-behavior-1905.00883</loc><lastmod>2022-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tutorial-on-recursive-models-for-analyzing-and-predicting-path-choice-behavior-1905.00883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tutorial-on-recursive-models-for-analyzing-and-predicting-path-choice-behavior-1905.00883"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-gaussian-process-surrogate-bayesian-inference-with-noisy-likelihood-evaluations-1905.01252</loc><lastmod>2020-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-gaussian-process-surrogate-bayesian-inference-with-noisy-likelihood-evaluations-1905.01252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-gaussian-process-surrogate-bayesian-inference-with-noisy-likelihood-evaluations-1905.01252"/></url>
<url><loc>https://scifaro.com/en/abs/arsm-augment-reinforce-swap-merge-estimator-for-gradient-backpropagation-through-categorical-variables-1905.01413</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/arsm-augment-reinforce-swap-merge-estimator-for-gradient-backpropagation-through-categorical-variables-1905.01413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/arsm-augment-reinforce-swap-merge-estimator-for-gradient-backpropagation-through-categorical-variables-1905.01413"/></url>
<url><loc>https://scifaro.com/en/abs/tight-regret-bounds-for-infinite-armed-linear-contextual-bandits-1905.01435</loc><lastmod>2021-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-regret-bounds-for-infinite-armed-linear-contextual-bandits-1905.01435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-regret-bounds-for-infinite-armed-linear-contextual-bandits-1905.01435"/></url>
<url><loc>https://scifaro.com/en/abs/vertex-nomination-consistent-estimation-and-adversarial-modification-1905.01776</loc><lastmod>2020-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vertex-nomination-consistent-estimation-and-adversarial-modification-1905.01776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vertex-nomination-consistent-estimation-and-adversarial-modification-1905.01776"/></url>
<url><loc>https://scifaro.com/en/abs/statistically-discriminative-sub-trajectory-mining-1905.01788</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistically-discriminative-sub-trajectory-mining-1905.01788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistically-discriminative-sub-trajectory-mining-1905.01788"/></url>
<url><loc>https://scifaro.com/en/abs/improving-and-understanding-variational-continual-learning-1905.02099</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-and-understanding-variational-continual-learning-1905.02099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-and-understanding-variational-continual-learning-1905.02099"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-examples-are-not-bugs-they-are-features-1905.02175</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-examples-are-not-bugs-they-are-features-1905.02175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-examples-are-not-bugs-they-are-features-1905.02175"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-density-and-partition-based-clustering-algorithm-for-data-with-mixed-type-variables-1905.02257</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-density-and-partition-based-clustering-algorithm-for-data-with-mixed-type-variables-1905.02257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-density-and-partition-based-clustering-algorithm-for-data-with-mixed-type-variables-1905.02257"/></url>
<url><loc>https://scifaro.com/en/abs/learning-clique-forests-1905.02266</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-clique-forests-1905.02266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-clique-forests-1905.02266"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-for-multi-objective-optimization-and-multi-point-search-1905.02370</loc><lastmod>2019-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-for-multi-objective-optimization-and-multi-point-search-1905.02370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-for-multi-objective-optimization-and-multi-point-search-1905.02370"/></url>
<url><loc>https://scifaro.com/en/abs/estimate-sequences-for-variance-reduced-stochastic-composite-optimization-1905.02374</loc><lastmod>2019-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimate-sequences-for-variance-reduced-stochastic-composite-optimization-1905.02374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimate-sequences-for-variance-reduced-stochastic-composite-optimization-1905.02374"/></url>
<url><loc>https://scifaro.com/en/abs/guided-visual-exploration-of-relations-in-data-sets-1905.02515</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guided-visual-exploration-of-relations-in-data-sets-1905.02515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guided-visual-exploration-of-relations-in-data-sets-1905.02515"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-evaluation-of-adversarial-robustness-under-transfer-learning-1905.02675</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-evaluation-of-adversarial-robustness-under-transfer-learning-1905.02675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-evaluation-of-adversarial-robustness-under-transfer-learning-1905.02675"/></url>
<url><loc>https://scifaro.com/en/abs/knowing-the-what-but-not-the-where-in-bayesian-optimization-1905.02685</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowing-the-what-but-not-the-where-in-bayesian-optimization-1905.02685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowing-the-what-but-not-the-where-in-bayesian-optimization-1905.02685"/></url>
<url><loc>https://scifaro.com/en/abs/a-generative-model-for-sampling-high-performance-and-diverse-weights-for-neural-networks-1905.02898</loc><lastmod>2019-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generative-model-for-sampling-high-performance-and-diverse-weights-for-neural-networks-1905.02898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generative-model-for-sampling-high-performance-and-diverse-weights-for-neural-networks-1905.02898"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-statistical-rates-for-decentralised-non-parametric-regression-with-linear-speed-up-1905.03135</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-statistical-rates-for-decentralised-non-parametric-regression-with-linear-speed-up-1905.03135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-statistical-rates-for-decentralised-non-parametric-regression-with-linear-speed-up-1905.03135"/></url>
<url><loc>https://scifaro.com/en/abs/importance-weighted-hierarchical-variational-inference-1905.03290</loc><lastmod>2019-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-weighted-hierarchical-variational-inference-1905.03290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-weighted-hierarchical-variational-inference-1905.03290"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-using-deep-gaussian-processes-1905.03350</loc><lastmod>2019-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-using-deep-gaussian-processes-1905.03350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-using-deep-gaussian-processes-1905.03350"/></url>
<url><loc>https://scifaro.com/en/abs/two-stage-best-scored-random-forest-for-large-scale-regression-1905.03438</loc><lastmod>2019-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-stage-best-scored-random-forest-for-large-scale-regression-1905.03438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-stage-best-scored-random-forest-for-large-scale-regression-1905.03438"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-adaptive-kernel-for-the-rbf-neural-networks-1905.03546</loc><lastmod>2019-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-adaptive-kernel-for-the-rbf-neural-networks-1905.03546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-adaptive-kernel-for-the-rbf-neural-networks-1905.03546"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-finite-mixture-model-with-variable-selection-for-data-with-mixed-type-variables-1905.03680</loc><lastmod>2019-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-finite-mixture-model-with-variable-selection-for-data-with-mixed-type-variables-1905.03680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-finite-mixture-model-with-variable-selection-for-data-with-mixed-type-variables-1905.03680"/></url>
<url><loc>https://scifaro.com/en/abs/best-scored-random-forest-density-estimation-1905.03729</loc><lastmod>2019-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/best-scored-random-forest-density-estimation-1905.03729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/best-scored-random-forest-density-estimation-1905.03729"/></url>
<url><loc>https://scifaro.com/en/abs/think-globally-act-locally-a-deep-neural-network-approach-to-high-dimensional-time-series-forecasting-1905.03806</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/think-globally-act-locally-a-deep-neural-network-approach-to-high-dimensional-time-series-forecasting-1905.03806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/think-globally-act-locally-a-deep-neural-network-approach-to-high-dimensional-time-series-forecasting-1905.03806"/></url>
<url><loc>https://scifaro.com/en/abs/a-contrastive-divergence-for-combining-variational-inference-and-mcmc-1905.04062</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-contrastive-divergence-for-combining-variational-inference-and-mcmc-1905.04062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-contrastive-divergence-for-combining-variational-inference-and-mcmc-1905.04062"/></url>
<url><loc>https://scifaro.com/en/abs/the-sharp-the-flat-and-the-shallow-can-weakly-interacting-agents-learn-to-escape-bad-minima-1905.04121</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-sharp-the-flat-and-the-shallow-can-weakly-interacting-agents-learn-to-escape-bad-minima-1905.04121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-sharp-the-flat-and-the-shallow-can-weakly-interacting-agents-learn-to-escape-bad-minima-1905.04121"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-connection-between-adversarial-robustness-and-saliency-map-interpretability-1905.04172</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-connection-between-adversarial-robustness-and-saliency-map-interpretability-1905.04172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-connection-between-adversarial-robustness-and-saliency-map-interpretability-1905.04172"/></url>
<url><loc>https://scifaro.com/en/abs/active-embedding-search-via-noisy-paired-comparisons-1905.04363</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-embedding-search-via-noisy-paired-comparisons-1905.04363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-embedding-search-via-noisy-paired-comparisons-1905.04363"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-for-neural-network-matrix-factorization-and-its-application-to-stochastic-blockmodeling-1905.04502</loc><lastmod>2019-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-for-neural-network-matrix-factorization-and-its-application-to-stochastic-blockmodeling-1905.04502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-for-neural-network-matrix-factorization-and-its-application-to-stochastic-blockmodeling-1905.04502"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-performance-of-thompson-sampling-on-logistic-bandits-1905.04654</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-performance-of-thompson-sampling-on-logistic-bandits-1905.04654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-performance-of-thompson-sampling-on-logistic-bandits-1905.04654"/></url>
<url><loc>https://scifaro.com/en/abs/functional-correlations-in-the-pursuit-of-performance-assessment-of-classifiers-1905.04667</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-correlations-in-the-pursuit-of-performance-assessment-of-classifiers-1905.04667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-correlations-in-the-pursuit-of-performance-assessment-of-classifiers-1905.04667"/></url>
<url><loc>https://scifaro.com/en/abs/rotation-invariant-householder-parameterization-for-bayesian-pca-1905.04720</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rotation-invariant-householder-parameterization-for-bayesian-pca-1905.04720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rotation-invariant-householder-parameterization-for-bayesian-pca-1905.04720"/></url>
<url><loc>https://scifaro.com/en/abs/learning-hierarchical-priors-in-vaes-1905.04982</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-hierarchical-priors-in-vaes-1905.04982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-hierarchical-priors-in-vaes-1905.04982"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-hierarchical-mixture-structures-a-bayesian-nonparametric-approach-1905.05022</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-hierarchical-mixture-structures-a-bayesian-nonparametric-approach-1905.05022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-hierarchical-mixture-structures-a-bayesian-nonparametric-approach-1905.05022"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-and-efficient-comparison-based-search-without-features-1905.05049</loc><lastmod>2020-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-and-efficient-comparison-based-search-without-features-1905.05049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-and-efficient-comparison-based-search-without-features-1905.05049"/></url>
<url><loc>https://scifaro.com/en/abs/exact-high-dimensional-asymptotics-for-support-vector-machine-1905.05125</loc><lastmod>2019-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-high-dimensional-asymptotics-for-support-vector-machine-1905.05125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-high-dimensional-asymptotics-for-support-vector-machine-1905.05125"/></url>
<url><loc>https://scifaro.com/en/abs/variational-approximations-using-fisher-divergence-1905.05284</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-approximations-using-fisher-divergence-1905.05284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-approximations-using-fisher-divergence-1905.05284"/></url>
<url><loc>https://scifaro.com/en/abs/nearest-neighbor-and-kernel-survival-analysis-nonasymptotic-error-bounds-and-strong-consistency-rates-1905.05285</loc><lastmod>2022-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearest-neighbor-and-kernel-survival-analysis-nonasymptotic-error-bounds-and-strong-consistency-rates-1905.05285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearest-neighbor-and-kernel-survival-analysis-nonasymptotic-error-bounds-and-strong-consistency-rates-1905.05285"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-surrogate-models-for-parametric-studies-1905.05345</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-surrogate-models-for-parametric-studies-1905.05345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-surrogate-models-for-parametric-studies-1905.05345"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-poisson-gamma-belief-network-1905.05394</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-poisson-gamma-belief-network-1905.05394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-poisson-gamma-belief-network-1905.05394"/></url>
<url><loc>https://scifaro.com/en/abs/deep-gaussian-processes-with-importance-weighted-variational-inference-1905.05435</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-gaussian-processes-with-importance-weighted-variational-inference-1905.05435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-gaussian-processes-with-importance-weighted-variational-inference-1905.05435"/></url>
<url><loc>https://scifaro.com/en/abs/a-self-organising-eigenspace-map-for-time-series-clustering-1905.05540</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-self-organising-eigenspace-map-for-time-series-clustering-1905.05540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-self-organising-eigenspace-map-for-time-series-clustering-1905.05540"/></url>
<url><loc>https://scifaro.com/en/abs/transferable-clean-label-poisoning-attacks-on-deep-neural-nets-1905.05897</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transferable-clean-label-poisoning-attacks-on-deep-neural-nets-1905.05897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transferable-clean-label-poisoning-attacks-on-deep-neural-nets-1905.05897"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adaptive-transfer-learning-for-fault-diagnosis-1905.06004</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adaptive-transfer-learning-for-fault-diagnosis-1905.06004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adaptive-transfer-learning-for-fault-diagnosis-1905.06004"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-losses-for-distributional-learning-1905.06005</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-losses-for-distributional-learning-1905.06005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-losses-for-distributional-learning-1905.06005"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-calibration-for-regression-1905.06023</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-calibration-for-regression-1905.06023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-calibration-for-regression-1905.06023"/></url>
<url><loc>https://scifaro.com/en/abs/expressive-priors-in-bayesian-neural-networks-kernel-combinations-and-periodic-functions-1905.06076</loc><lastmod>2019-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expressive-priors-in-bayesian-neural-networks-kernel-combinations-and-periodic-functions-1905.06076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expressive-priors-in-bayesian-neural-networks-kernel-combinations-and-periodic-functions-1905.06076"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-alpha-expansion-for-estimating-gradient-sparse-signals-from-linear-measurements-1905.06097</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-alpha-expansion-for-estimating-gradient-sparse-signals-from-linear-measurements-1905.06097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-alpha-expansion-for-estimating-gradient-sparse-signals-from-linear-measurements-1905.06097"/></url>
<url><loc>https://scifaro.com/en/abs/additive-adversarial-learning-for-unbiased-authentication-1905.06517</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/additive-adversarial-learning-for-unbiased-authentication-1905.06517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/additive-adversarial-learning-for-unbiased-authentication-1905.06517"/></url>
<url><loc>https://scifaro.com/en/abs/the-incomplete-rosetta-stone-problem-identifiability-results-for-multi-view-nonlinear-ica-1905.06642</loc><lastmod>2019-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-incomplete-rosetta-stone-problem-identifiability-results-for-multi-view-nonlinear-ica-1905.06642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-incomplete-rosetta-stone-problem-identifiability-results-for-multi-view-nonlinear-ica-1905.06642"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-sensor-placement-for-continuous-spaces-1905.06821</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-sensor-placement-for-continuous-spaces-1905.06821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-sensor-placement-for-continuous-spaces-1905.06821"/></url>
<url><loc>https://scifaro.com/en/abs/reduced-order-modeling-using-dynamic-mode-decomposition-and-least-angle-regression-1905.07027</loc><lastmod>2020-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reduced-order-modeling-using-dynamic-mode-decomposition-and-least-angle-regression-1905.07027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reduced-order-modeling-using-dynamic-mode-decomposition-and-least-angle-regression-1905.07027"/></url>
<url><loc>https://scifaro.com/en/abs/non-negative-matrix-factorization-based-on-generalized-dual-divergence-1905.07034</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-negative-matrix-factorization-based-on-generalized-dual-divergence-1905.07034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-negative-matrix-factorization-based-on-generalized-dual-divergence-1905.07034"/></url>
<url><loc>https://scifaro.com/en/abs/dream-distillation-a-data-independent-model-compression-framework-1905.07072</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dream-distillation-a-data-independent-model-compression-framework-1905.07072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dream-distillation-a-data-independent-model-compression-framework-1905.07072"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-machine-learning-models-in-food-authentication-studies-1905.07302</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-machine-learning-models-in-food-authentication-studies-1905.07302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-machine-learning-models-in-food-authentication-studies-1905.07302"/></url>
<url><loc>https://scifaro.com/en/abs/lexicographic-and-depth-sensitive-margins-in-homogeneous-and-non-homogeneous-deep-models-1905.07325</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lexicographic-and-depth-sensitive-margins-in-homogeneous-and-non-homogeneous-deep-models-1905.07325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lexicographic-and-depth-sensitive-margins-in-homogeneous-and-non-homogeneous-deep-models-1905.07325"/></url>
<url><loc>https://scifaro.com/en/abs/pair-matching-links-prediction-with-adaptive-queries-1905.07342</loc><lastmod>2024-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pair-matching-links-prediction-with-adaptive-queries-1905.07342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pair-matching-links-prediction-with-adaptive-queries-1905.07342"/></url>
<url><loc>https://scifaro.com/en/abs/merging-versus-ensembling-in-multi-study-prediction-theoretical-insight-from-random-effects-1905.07382</loc><lastmod>2024-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/merging-versus-ensembling-in-multi-study-prediction-theoretical-insight-from-random-effects-1905.07382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/merging-versus-ensembling-in-multi-study-prediction-theoretical-insight-from-random-effects-1905.07382"/></url>
<url><loc>https://scifaro.com/en/abs/online-distributed-estimation-of-principal-eigenspaces-1905.07389</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-distributed-estimation-of-principal-eigenspaces-1905.07389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-distributed-estimation-of-principal-eigenspaces-1905.07389"/></url>
<url><loc>https://scifaro.com/en/abs/practical-bayesian-optimization-with-threshold-guided-marginal-likelihood-maximization-1905.07540</loc><lastmod>2020-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-bayesian-optimization-with-threshold-guided-marginal-likelihood-maximization-1905.07540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-bayesian-optimization-with-threshold-guided-marginal-likelihood-maximization-1905.07540"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-tree-boosting-with-random-output-projections-for-multi-label-classification-and-multi-output-regression-1905.07558</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-tree-boosting-with-random-output-projections-for-multi-label-classification-and-multi-output-regression-1905.07558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-tree-boosting-with-random-output-projections-for-multi-label-classification-and-multi-output-regression-1905.07558"/></url>
<url><loc>https://scifaro.com/en/abs/disentangled-attribution-curves-for-interpreting-random-forests-and-boosted-trees-1905.07631</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangled-attribution-curves-for-interpreting-random-forests-and-boosted-trees-1905.07631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangled-attribution-curves-for-interpreting-random-forests-and-boosted-trees-1905.07631"/></url>
<url><loc>https://scifaro.com/en/abs/an-online-stochastic-kernel-machine-for-robust-signal-classification-1905.07686</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-online-stochastic-kernel-machine-for-robust-signal-classification-1905.07686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-online-stochastic-kernel-machine-for-robust-signal-classification-1905.07686"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-semantic-embeddings-for-safety-critical-applications-1905.07733</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-semantic-embeddings-for-safety-critical-applications-1905.07733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-semantic-embeddings-for-safety-critical-applications-1905.07733"/></url>
<url><loc>https://scifaro.com/en/abs/a-distributionally-robust-boosting-algorithm-1905.07845</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distributionally-robust-boosting-algorithm-1905.07845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distributionally-robust-boosting-algorithm-1905.07845"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayes-under-potentially-heavy-tails-1905.07900</loc><lastmod>2019-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayes-under-potentially-heavy-tails-1905.07900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayes-under-potentially-heavy-tails-1905.07900"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-ascent-for-active-exploration-in-bandit-problems-1905.08165</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-ascent-for-active-exploration-in-bandit-problems-1905.08165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-ascent-for-active-exploration-in-bandit-problems-1905.08165"/></url>
<url><loc>https://scifaro.com/en/abs/conditionally-additive-noise-models-for-structure-learning-1905.08360</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditionally-additive-noise-models-for-structure-learning-1905.08360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditionally-additive-noise-models-for-structure-learning-1905.08360"/></url>
<url><loc>https://scifaro.com/en/abs/time-varying-autoregression-with-low-rank-tensors-1905.08389</loc><lastmod>2020-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-varying-autoregression-with-low-rank-tensors-1905.08389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-varying-autoregression-with-low-rank-tensors-1905.08389"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-against-outliers-for-deep-neural-networks-by-gradient-conjugate-priors-1905.08464</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-against-outliers-for-deep-neural-networks-by-gradient-conjugate-priors-1905.08464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-against-outliers-for-deep-neural-networks-by-gradient-conjugate-priors-1905.08464"/></url>
<url><loc>https://scifaro.com/en/abs/survival-function-matching-for-calibrated-time-to-event-predictions-1905.08838</loc><lastmod>2021-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survival-function-matching-for-calibrated-time-to-event-predictions-1905.08838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survival-function-matching-for-calibrated-time-to-event-predictions-1905.08838"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-robust-formulation-and-model-selection-for-the-graphical-lasso-1905.08975</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-robust-formulation-and-model-selection-for-the-graphical-lasso-1905.08975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-robust-formulation-and-model-selection-for-the-graphical-lasso-1905.08975"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-minimax-optimality-and-superiority-of-deep-neural-network-learning-over-sparse-parameter-spaces-1905.09195</loc><lastmod>2023-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-minimax-optimality-and-superiority-of-deep-neural-network-learning-over-sparse-parameter-spaces-1905.09195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-minimax-optimality-and-superiority-of-deep-neural-network-learning-over-sparse-parameter-spaces-1905.09195"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimal-private-stochastic-mab-algorithm-based-on-an-optimal-private-stopping-rule-1905.09383</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimal-private-stochastic-mab-algorithm-based-on-an-optimal-private-stopping-rule-1905.09383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimal-private-stochastic-mab-algorithm-based-on-an-optimal-private-stopping-rule-1905.09383"/></url>
<url><loc>https://scifaro.com/en/abs/replicated-vector-approximate-message-passing-for-resampling-problem-1905.09545</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/replicated-vector-approximate-message-passing-for-resampling-problem-1905.09545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/replicated-vector-approximate-message-passing-for-resampling-problem-1905.09545"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-graph-neural-networks-all-we-have-is-low-pass-filters-1905.09550</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-graph-neural-networks-all-we-have-is-low-pass-filters-1905.09550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-graph-neural-networks-all-we-have-is-low-pass-filters-1905.09550"/></url>
<url><loc>https://scifaro.com/en/abs/multi-class-gaussian-process-classification-made-conjugate-efficient-inference-via-data-augmentation-1905.09670</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-class-gaussian-process-classification-made-conjugate-efficient-inference-via-data-augmentation-1905.09670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-class-gaussian-process-classification-made-conjugate-efficient-inference-via-data-augmentation-1905.09670"/></url>
<url><loc>https://scifaro.com/en/abs/population-based-global-optimisation-methods-for-learning-long-term-dependencies-with-rnns-1905.09691</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/population-based-global-optimisation-methods-for-learning-long-term-dependencies-with-rnns-1905.09691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/population-based-global-optimisation-methods-for-learning-long-term-dependencies-with-rnns-1905.09691"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-with-approximate-set-kernels-1905.09780</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-with-approximate-set-kernels-1905.09780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-with-approximate-set-kernels-1905.09780"/></url>
<url><loc>https://scifaro.com/en/abs/computationally-efficient-feature-significance-and-importance-for-machine-learning-models-1905.09849</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computationally-efficient-feature-significance-and-importance-for-machine-learning-models-1905.09849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computationally-efficient-feature-significance-and-importance-for-machine-learning-models-1905.09849"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-langevin-sampling-with-birth-death-1905.09863</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-langevin-sampling-with-birth-death-1905.09863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-langevin-sampling-with-birth-death-1905.09863"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-can-learn-less-over-parameterized-two-layer-neural-networks-on-classification-problems-1905.09870</loc><lastmod>2020-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-can-learn-less-over-parameterized-two-layer-neural-networks-on-classification-problems-1905.09870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-can-learn-less-over-parameterized-two-layer-neural-networks-on-classification-problems-1905.09870"/></url>
<url><loc>https://scifaro.com/en/abs/forgenet-a-graph-deep-neural-network-model-using-tree-based-ensemble-classifiers-for-feature-extraction-1905.09889</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forgenet-a-graph-deep-neural-network-model-using-tree-based-ensemble-classifiers-for-feature-extraction-1905.09889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forgenet-a-graph-deep-neural-network-model-using-tree-based-ensemble-classifiers-for-feature-extraction-1905.09889"/></url>
<url><loc>https://scifaro.com/en/abs/a-bulirsch-stoer-algorithm-using-gaussian-processes-1905.09892</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bulirsch-stoer-algorithm-using-gaussian-processes-1905.09892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bulirsch-stoer-algorithm-using-gaussian-processes-1905.09892"/></url>
<url><loc>https://scifaro.com/en/abs/learning-spectrograms-with-convolutional-spectral-kernels-1905.09917</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-spectrograms-with-convolutional-spectral-kernels-1905.09917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-spectrograms-with-convolutional-spectral-kernels-1905.09917"/></url>
<url><loc>https://scifaro.com/en/abs/on-pruning-for-score-based-bayesian-network-structure-learning-1905.09943</loc><lastmod>2020-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-pruning-for-score-based-bayesian-network-structure-learning-1905.09943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-pruning-for-score-based-bayesian-network-structure-learning-1905.09943"/></url>
<url><loc>https://scifaro.com/en/abs/posterior-distribution-for-the-number-of-clusters-in-dirichlet-process-mixture-models-1905.09959</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/posterior-distribution-for-the-number-of-clusters-in-dirichlet-process-mixture-models-1905.09959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/posterior-distribution-for-the-number-of-clusters-in-dirichlet-process-mixture-models-1905.09959"/></url>
<url><loc>https://scifaro.com/en/abs/robust-variational-autoencoder-1905.09961</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-variational-autoencoder-1905.09961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-variational-autoencoder-1905.09961"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-gaussian-processes-for-online-learning-of-nonstationary-functions-1905.10003</loc><lastmod>2023-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-gaussian-processes-for-online-learning-of-nonstationary-functions-1905.10003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-gaussian-processes-for-online-learning-of-nonstationary-functions-1905.10003"/></url>
<url><loc>https://scifaro.com/en/abs/osom-a-simultaneously-optimal-algorithm-for-multi-armed-and-linear-contextual-bandits-1905.10040</loc><lastmod>2020-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/osom-a-simultaneously-optimal-algorithm-for-multi-armed-and-linear-contextual-bandits-1905.10040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/osom-a-simultaneously-optimal-algorithm-for-multi-armed-and-linear-contextual-bandits-1905.10040"/></url>
<url><loc>https://scifaro.com/en/abs/sliced-gromov-wasserstein-1905.10124</loc><lastmod>2022-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sliced-gromov-wasserstein-1905.10124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sliced-gromov-wasserstein-1905.10124"/></url>
<url><loc>https://scifaro.com/en/abs/concentration-bounds-for-linear-monge-mapping-estimation-and-optimal-transport-domain-adaptation-1905.10155</loc><lastmod>2020-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concentration-bounds-for-linear-monge-mapping-estimation-and-optimal-transport-domain-adaptation-1905.10155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concentration-bounds-for-linear-monge-mapping-estimation-and-optimal-transport-domain-adaptation-1905.10155"/></url>
<url><loc>https://scifaro.com/en/abs/polynomial-cost-of-adaptation-for-x-armed-bandits-1905.10221</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/polynomial-cost-of-adaptation-for-x-armed-bandits-1905.10221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/polynomial-cost-of-adaptation-for-x-armed-bandits-1905.10221"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-guarantees-for-adaptive-bayesian-quadrature-methods-1905.10271</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-guarantees-for-adaptive-bayesian-quadrature-methods-1905.10271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-guarantees-for-adaptive-bayesian-quadrature-methods-1905.10271"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-risks-of-securing-machine-learning-models-against-adversarial-examples-1905.10291</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-risks-of-securing-machine-learning-models-against-adversarial-examples-1905.10291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-risks-of-securing-machine-learning-models-against-adversarial-examples-1905.10291"/></url>
<url><loc>https://scifaro.com/en/abs/dirac-delta-regression-conditional-density-estimation-with-clinical-trials-1905.10330</loc><lastmod>2021-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dirac-delta-regression-conditional-density-estimation-with-clinical-trials-1905.10330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dirac-delta-regression-conditional-density-estimation-with-clinical-trials-1905.10330"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalization-error-bound-for-multi-class-domain-generalization-1905.10392</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalization-error-bound-for-multi-class-domain-generalization-1905.10392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalization-error-bound-for-multi-class-domain-generalization-1905.10392"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-method-for-regularizing-tensor-decomposition-methods-via-pseudo-data-1905.10424</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-method-for-regularizing-tensor-decomposition-methods-via-pseudo-data-1905.10424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-method-for-regularizing-tensor-decomposition-methods-via-pseudo-data-1905.10424"/></url>
<url><loc>https://scifaro.com/en/abs/diva-domain-invariant-variational-autoencoders-1905.10427</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diva-domain-invariant-variational-autoencoders-1905.10427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diva-domain-invariant-variational-autoencoders-1905.10427"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-wavelet-scattering-networks-on-compact-riemannian-manifolds-1905.10448</loc><lastmod>2023-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-wavelet-scattering-networks-on-compact-riemannian-manifolds-1905.10448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-wavelet-scattering-networks-on-compact-riemannian-manifolds-1905.10448"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-bayesian-learning-over-graphs-1905.10466</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-bayesian-learning-over-graphs-1905.10466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-bayesian-learning-over-graphs-1905.10466"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-distribution-free-prediction-intervals-for-deep-networks-1905.10634</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-distribution-free-prediction-intervals-for-deep-networks-1905.10634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-distribution-free-prediction-intervals-for-deep-networks-1905.10634"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-distributions-and-rates-of-convergence-for-random-forests-via-generalized-u-statistics-1905.10651</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-distributions-and-rates-of-convergence-for-random-forests-via-generalized-u-statistics-1905.10651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-distributions-and-rates-of-convergence-for-random-forests-via-generalized-u-statistics-1905.10651"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-risk-minimization-in-the-interpolating-regime-with-application-to-neural-network-learning-1905.10686</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-risk-minimization-in-the-interpolating-regime-with-application-to-neural-network-learning-1905.10686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-risk-minimization-in-the-interpolating-regime-with-application-to-neural-network-learning-1905.10686"/></url>
<url><loc>https://scifaro.com/en/abs/hint-hierarchical-invertible-neural-transport-for-density-estimation-and-bayesian-inference-1905.10687</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hint-hierarchical-invertible-neural-transport-for-density-estimation-and-bayesian-inference-1905.10687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hint-hierarchical-invertible-neural-transport-for-density-estimation-and-bayesian-inference-1905.10687"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-treatment-events-in-disease-progression-1905.10705</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-treatment-events-in-disease-progression-1905.10705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-treatment-events-in-disease-progression-1905.10705"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-weingarten-map-and-curvature-estimation-on-manifolds-1905.10725</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-weingarten-map-and-curvature-estimation-on-manifolds-1905.10725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-weingarten-map-and-curvature-estimation-on-manifolds-1905.10725"/></url>
<url><loc>https://scifaro.com/en/abs/regularity-as-regularization-smooth-and-strongly-convex-brenier-potentials-in-optimal-transport-1905.10812</loc><lastmod>2020-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularity-as-regularization-smooth-and-strongly-convex-brenier-potentials-in-optimal-transport-1905.10812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularity-as-regularization-smooth-and-strongly-convex-brenier-potentials-in-optimal-transport-1905.10812"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-learning-curves-of-kernel-methods-empirical-data-v-s-teacher-student-paradigm-1905.10843</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-learning-curves-of-kernel-methods-empirical-data-v-s-teacher-student-paradigm-1905.10843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-learning-curves-of-kernel-methods-empirical-data-v-s-teacher-student-paradigm-1905.10843"/></url>
<url><loc>https://scifaro.com/en/abs/learning-gaussian-dags-from-network-data-1905.10848</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-gaussian-dags-from-network-data-1905.10848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-gaussian-dags-from-network-data-1905.10848"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bayes-under-model-misspecification-1905.10859</loc><lastmod>2020-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayes-under-model-misspecification-1905.10859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayes-under-model-misspecification-1905.10859"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-discovery-of-privacy-utility-pareto-fronts-1905.10862</loc><lastmod>2020-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-discovery-of-privacy-utility-pareto-fronts-1905.10862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-discovery-of-privacy-utility-pareto-fronts-1905.10862"/></url>
<url><loc>https://scifaro.com/en/abs/equal-opportunity-and-affirmative-action-via-counterfactual-predictions-1905.10870</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equal-opportunity-and-affirmative-action-via-counterfactual-predictions-1905.10870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equal-opportunity-and-affirmative-action-via-counterfactual-predictions-1905.10870"/></url>
<url><loc>https://scifaro.com/en/abs/fast-convergence-of-natural-gradient-descent-for-overparameterized-neural-networks-1905.10961</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-convergence-of-natural-gradient-descent-for-overparameterized-neural-networks-1905.10961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-convergence-of-natural-gradient-descent-for-overparameterized-neural-networks-1905.10961"/></url>
<url><loc>https://scifaro.com/en/abs/combating-label-noise-in-deep-learning-using-abstention-1905.10964</loc><lastmod>2019-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combating-label-noise-in-deep-learning-using-abstention-1905.10964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combating-label-noise-in-deep-learning-using-abstention-1905.10964"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-training-of-inference-networks-for-gaussian-process-models-1905.10969</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-training-of-inference-networks-for-gaussian-process-models-1905.10969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-training-of-inference-networks-for-gaussian-process-models-1905.10969"/></url>
<url><loc>https://scifaro.com/en/abs/ode-2-vae-deep-generative-second-order-odes-with-bayesian-neural-networks-1905.10994</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ode-2-vae-deep-generative-second-order-odes-with-bayesian-neural-networks-1905.10994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ode-2-vae-deep-generative-second-order-odes-with-bayesian-neural-networks-1905.10994"/></url>
<url><loc>https://scifaro.com/en/abs/on-mixup-training-improved-calibration-and-predictive-uncertainty-for-deep-neural-networks-1905.11001</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-mixup-training-improved-calibration-and-predictive-uncertainty-for-deep-neural-networks-1905.11001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-mixup-training-improved-calibration-and-predictive-uncertainty-for-deep-neural-networks-1905.11001"/></url>
<url><loc>https://scifaro.com/en/abs/dirichlet-simplex-nest-and-geometric-inference-1905.11009</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dirichlet-simplex-nest-and-geometric-inference-1905.11009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dirichlet-simplex-nest-and-geometric-inference-1905.11009"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-probabilistic-principal-component-analysis-1905.11010</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-probabilistic-principal-component-analysis-1905.11010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-probabilistic-principal-component-analysis-1905.11010"/></url>
<url><loc>https://scifaro.com/en/abs/best-scored-random-forest-classification-1905.11028</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/best-scored-random-forest-classification-1905.11028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/best-scored-random-forest-classification-1905.11028"/></url>
<url><loc>https://scifaro.com/en/abs/infinitely-deep-neural-networks-as-diffusion-processes-1905.11065</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infinitely-deep-neural-networks-as-diffusion-processes-1905.11065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infinitely-deep-neural-networks-as-diffusion-processes-1905.11065"/></url>
<url><loc>https://scifaro.com/en/abs/learning-step-sizes-for-unfolded-sparse-coding-1905.11071</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-step-sizes-for-unfolded-sparse-coding-1905.11071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-step-sizes-for-unfolded-sparse-coding-1905.11071"/></url>
<url><loc>https://scifaro.com/en/abs/practical-and-consistent-estimation-of-f-divergences-1905.11112</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-and-consistent-estimation-of-f-divergences-1905.11112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-and-consistent-estimation-of-f-divergences-1905.11112"/></url>
<url><loc>https://scifaro.com/en/abs/the-shape-of-data-intrinsic-distance-for-data-distributions-1905.11141</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-shape-of-data-intrinsic-distance-for-data-distributions-1905.11141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-shape-of-data-intrinsic-distance-for-data-distributions-1905.11141"/></url>
<url><loc>https://scifaro.com/en/abs/utility-privacy-trade-off-through-the-lens-of-optimal-transport-1905.11148</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/utility-privacy-trade-off-through-the-lens-of-optimal-transport-1905.11148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/utility-privacy-trade-off-through-the-lens-of-optimal-transport-1905.11148"/></url>
<url><loc>https://scifaro.com/en/abs/walsh-hadamard-variational-inference-for-bayesian-deep-learning-1905.11248</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/walsh-hadamard-variational-inference-for-bayesian-deep-learning-1905.11248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/walsh-hadamard-variational-inference-for-bayesian-deep-learning-1905.11248"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-conditional-probabilities-with-riemann-theta-boltzmann-machines-1905.11313</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-conditional-probabilities-with-riemann-theta-boltzmann-machines-1905.11313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-conditional-probabilities-with-riemann-theta-boltzmann-machines-1905.11313"/></url>
<url><loc>https://scifaro.com/en/abs/a-unifying-causal-framework-for-analyzing-dataset-shift-stable-learning-algorithms-1905.11374</loc><lastmod>2022-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unifying-causal-framework-for-analyzing-dataset-shift-stable-learning-algorithms-1905.11374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unifying-causal-framework-for-analyzing-dataset-shift-stable-learning-algorithms-1905.11374"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-the-generalization-error-in-deep-learning-in-terms-of-data-distribution-and-neural-network-smoothness-1905.11427</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-the-generalization-error-in-deep-learning-in-terms-of-data-distribution-and-neural-network-smoothness-1905.11427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-the-generalization-error-in-deep-learning-in-terms-of-data-distribution-and-neural-network-smoothness-1905.11427"/></url>
<url><loc>https://scifaro.com/en/abs/scaleable-input-gradient-regularization-for-adversarial-robustness-1905.11468</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaleable-input-gradient-regularization-for-adversarial-robustness-1905.11468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaleable-input-gradient-regularization-for-adversarial-robustness-1905.11468"/></url>
<url><loc>https://scifaro.com/en/abs/ancestral-causal-learning-in-high-dimensions-with-a-human-genome-wide-application-1905.11506</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ancestral-causal-learning-in-high-dimensions-with-a-human-genome-wide-application-1905.11506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ancestral-causal-learning-in-high-dimensions-with-a-human-genome-wide-application-1905.11506"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-approximate-a-bregman-divergence-1905.11545</loc><lastmod>2020-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-approximate-a-bregman-divergence-1905.11545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-approximate-a-bregman-divergence-1905.11545"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-linear-model-clustering-over-networks-a-tree-based-fused-lasso-admm-approach-1905.11549</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-linear-model-clustering-over-networks-a-tree-based-fused-lasso-admm-approach-1905.11549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-linear-model-clustering-over-networks-a-tree-based-fused-lasso-admm-approach-1905.11549"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-and-inferring-the-maximum-degree-of-stimulus-locked-time-varying-brain-connectivity-networks-1905.11588</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-and-inferring-the-maximum-degree-of-stimulus-locked-time-varying-brain-connectivity-networks-1905.11588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-and-inferring-the-maximum-degree-of-stimulus-locked-time-varying-brain-connectivity-networks-1905.11588"/></url>
<url><loc>https://scifaro.com/en/abs/learning-distant-cause-and-effect-using-only-local-and-immediate-credit-assignment-1905.11589</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-distant-cause-and-effect-using-only-local-and-immediate-credit-assignment-1905.11589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-distant-cause-and-effect-using-only-local-and-immediate-credit-assignment-1905.11589"/></url>
<url><loc>https://scifaro.com/en/abs/graphnvp-an-invertible-flow-model-for-generating-molecular-graphs-1905.11600</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphnvp-an-invertible-flow-model-for-generating-molecular-graphs-1905.11600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphnvp-an-invertible-flow-model-for-generating-molecular-graphs-1905.11600"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-infomax-codes-for-supervised-representation-learning-1905.11656</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-infomax-codes-for-supervised-representation-learning-1905.11656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-infomax-codes-for-supervised-representation-learning-1905.11656"/></url>
<url><loc>https://scifaro.com/en/abs/learning-dynamics-of-attention-human-prior-for-interpretable-machine-reasoning-1905.11666</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-dynamics-of-attention-human-prior-for-interpretable-machine-reasoning-1905.11666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-dynamics-of-attention-human-prior-for-interpretable-machine-reasoning-1905.11666"/></url>
<url><loc>https://scifaro.com/en/abs/recursive-estimation-for-sparse-gaussian-process-regression-1905.11711</loc><lastmod>2021-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recursive-estimation-for-sparse-gaussian-process-regression-1905.11711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recursive-estimation-for-sparse-gaussian-process-regression-1905.11711"/></url>
<url><loc>https://scifaro.com/en/abs/global-forensic-geolocation-with-deep-neural-networks-1905.11765</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-forensic-geolocation-with-deep-neural-networks-1905.11765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-forensic-geolocation-with-deep-neural-networks-1905.11765"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-proximal-langevin-algorithm-potential-splitting-and-nonasymptotic-rates-1905.11768</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-proximal-langevin-algorithm-potential-splitting-and-nonasymptotic-rates-1905.11768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-proximal-langevin-algorithm-potential-splitting-and-nonasymptotic-rates-1905.11768"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-robustness-guarantees-for-classification-with-gaussian-processes-1905.11876</loc><lastmod>2020-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-robustness-guarantees-for-classification-with-gaussian-processes-1905.11876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-robustness-guarantees-for-classification-with-gaussian-processes-1905.11876"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-scores-for-generative-models-1905.11890</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-scores-for-generative-models-1905.11890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-scores-for-generative-models-1905.11890"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-behaviour-of-the-empirical-cross-entropy-beyond-the-training-distribution-1905.11972</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-behaviour-of-the-empirical-cross-entropy-beyond-the-training-distribution-1905.11972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-behaviour-of-the-empirical-cross-entropy-beyond-the-training-distribution-1905.11972"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-nonparametric-federated-learning-of-neural-networks-1905.12022</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-nonparametric-federated-learning-of-neural-networks-1905.12022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-nonparametric-federated-learning-of-neural-networks-1905.12022"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-causality-and-the-conditional-cluster-assumption-1905.12081</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-causality-and-the-conditional-cluster-assumption-1905.12081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-causality-and-the-conditional-cluster-assumption-1905.12081"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-amortised-bayesian-inference-for-hierarchical-and-nonlinear-dynamical-systems-1905.12090</loc><lastmod>2019-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-amortised-bayesian-inference-for-hierarchical-and-nonlinear-dynamical-systems-1905.12090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-amortised-bayesian-inference-for-hierarchical-and-nonlinear-dynamical-systems-1905.12090"/></url>
<url><loc>https://scifaro.com/en/abs/adaoja-adaptive-learning-rates-for-streaming-pca-1905.12115</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaoja-adaptive-learning-rates-for-streaming-pca-1905.12115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaoja-adaptive-learning-rates-for-streaming-pca-1905.12115"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-anomaly-detection-using-extreme-value-theory-1905.12150</loc><lastmod>2019-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-anomaly-detection-using-extreme-value-theory-1905.12150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-anomaly-detection-using-extreme-value-theory-1905.12150"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-inductive-bias-of-neural-tangent-kernels-1905.12173</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-inductive-bias-of-neural-tangent-kernels-1905.12173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-inductive-bias-of-neural-tangent-kernels-1905.12173"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-conditionally-salient-features-with-statistical-guarantees-1905.12177</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-conditionally-salient-features-with-statistical-guarantees-1905.12177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-conditionally-salient-features-with-statistical-guarantees-1905.12177"/></url>
<url><loc>https://scifaro.com/en/abs/fast-mixing-of-metropolized-hamiltonian-monte-carlo-benefits-of-multi-step-gradients-1905.12247</loc><lastmod>2021-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-mixing-of-metropolized-hamiltonian-monte-carlo-benefits-of-multi-step-gradients-1905.12247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-mixing-of-metropolized-hamiltonian-monte-carlo-benefits-of-multi-step-gradients-1905.12247"/></url>
<url><loc>https://scifaro.com/en/abs/lifelong-bayesian-optimization-1905.12280</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifelong-bayesian-optimization-1905.12280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifelong-bayesian-optimization-1905.12280"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-iron-out-rough-landscapes-and-get-optimal-performances-averaged-gradient-descent-and-its-application-to-tensor-pca-1905.12294</loc><lastmod>2020-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-iron-out-rough-landscapes-and-get-optimal-performances-averaged-gradient-descent-and-its-application-to-tensor-pca-1905.12294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-iron-out-rough-landscapes-and-get-optimal-performances-averaged-gradient-descent-and-its-application-to-tensor-pca-1905.12294"/></url>
<url><loc>https://scifaro.com/en/abs/extragradient-with-player-sampling-for-faster-nash-equilibrium-finding-1905.12363</loc><lastmod>2020-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extragradient-with-player-sampling-for-faster-nash-equilibrium-finding-1905.12363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extragradient-with-player-sampling-for-faster-nash-equilibrium-finding-1905.12363"/></url>
<url><loc>https://scifaro.com/en/abs/non-linear-multitask-learning-with-deep-gaussian-processes-1905.12407</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-linear-multitask-learning-with-deep-gaussian-processes-1905.12407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-linear-multitask-learning-with-deep-gaussian-processes-1905.12407"/></url>
<url><loc>https://scifaro.com/en/abs/deep-factors-for-forecasting-1905.12417</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-factors-for-forecasting-1905.12417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-factors-for-forecasting-1905.12417"/></url>
<url><loc>https://scifaro.com/en/abs/hijacking-malaria-simulators-with-probabilistic-programming-1905.12432</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hijacking-malaria-simulators-with-probabilistic-programming-1905.12432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hijacking-malaria-simulators-with-probabilistic-programming-1905.12432"/></url>
<url><loc>https://scifaro.com/en/abs/switching-linear-dynamics-for-variational-bayes-filtering-1905.12434</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/switching-linear-dynamics-for-variational-bayes-filtering-1905.12434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/switching-linear-dynamics-for-variational-bayes-filtering-1905.12434"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generalized-method-of-moments-for-instrumental-variable-analysis-1905.12495</loc><lastmod>2020-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generalized-method-of-moments-for-instrumental-variable-analysis-1905.12495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generalized-method-of-moments-for-instrumental-variable-analysis-1905.12495"/></url>
<url><loc>https://scifaro.com/en/abs/replica-exchange-nos-e-hoover-dynamics-for-bayesian-learning-on-large-datasets-1905.12569</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/replica-exchange-nos-e-hoover-dynamics-for-bayesian-learning-on-large-datasets-1905.12569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/replica-exchange-nos-e-hoover-dynamics-for-bayesian-learning-on-large-datasets-1905.12569"/></url>
<url><loc>https://scifaro.com/en/abs/semi-implicit-generative-model-1905.12659</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-implicit-generative-model-1905.12659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-implicit-generative-model-1905.12659"/></url>
<url><loc>https://scifaro.com/en/abs/noisy-and-incomplete-boolean-matrix-factorizationvia-expectation-maximization-1905.12766</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisy-and-incomplete-boolean-matrix-factorizationvia-expectation-maximization-1905.12766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisy-and-incomplete-boolean-matrix-factorizationvia-expectation-maximization-1905.12766"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-the-privacy-risks-of-learning-high-dimensional-graphical-models-1905.12774</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-the-privacy-risks-of-learning-high-dimensional-graphical-models-1905.12774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-the-privacy-risks-of-learning-high-dimensional-graphical-models-1905.12774"/></url>
<url><loc>https://scifaro.com/en/abs/the-theory-behind-overfitting-cross-validation-regularization-bagging-and-boosting-tutorial-1905.12787</loc><lastmod>2023-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-theory-behind-overfitting-cross-validation-regularization-bagging-and-boosting-tutorial-1905.12787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-theory-behind-overfitting-cross-validation-regularization-bagging-and-boosting-tutorial-1905.12787"/></url>
<url><loc>https://scifaro.com/en/abs/the-label-complexity-of-active-learning-from-observational-data-1905.12791</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-label-complexity-of-active-learning-from-observational-data-1905.12791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-label-complexity-of-active-learning-from-observational-data-1905.12791"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-causes-a-causal-graphical-view-1905.12793</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-causes-a-causal-graphical-view-1905.12793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-causes-a-causal-graphical-view-1905.12793"/></url>
<url><loc>https://scifaro.com/en/abs/monotonic-gaussian-process-flow-1905.12930</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monotonic-gaussian-process-flow-1905.12930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monotonic-gaussian-process-flow-1905.12930"/></url>
<url><loc>https://scifaro.com/en/abs/global-momentum-compression-for-sparse-communication-in-distributed-learning-1905.12948</loc><lastmod>2024-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-momentum-compression-for-sparse-communication-in-distributed-learning-1905.12948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-momentum-compression-for-sparse-communication-in-distributed-learning-1905.12948"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-memory-based-distributed-sgd-1905.12960</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-memory-based-distributed-sgd-1905.12960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-memory-based-distributed-sgd-1905.12960"/></url>
<url><loc>https://scifaro.com/en/abs/enriched-mixtures-of-gaussian-process-experts-1905.12969</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enriched-mixtures-of-gaussian-process-experts-1905.12969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enriched-mixtures-of-gaussian-process-experts-1905.12969"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-to-adversarial-perturbations-in-learning-from-incomplete-data-1905.13021</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-to-adversarial-perturbations-in-learning-from-incomplete-data-1905.13021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-to-adversarial-perturbations-in-learning-from-incomplete-data-1905.13021"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-high-dimensional-continuous-time-markov-chains-using-the-local-bouncy-particle-sampler-1905.13120</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-high-dimensional-continuous-time-markov-chains-using-the-local-bouncy-particle-sampler-1905.13120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-high-dimensional-continuous-time-markov-chains-using-the-local-bouncy-particle-sampler-1905.13120"/></url>
<url><loc>https://scifaro.com/en/abs/rarely-switching-linear-bandits-optimization-of-causal-effects-for-the-real-world-1905.13121</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rarely-switching-linear-bandits-optimization-of-causal-effects-for-the-real-world-1905.13121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rarely-switching-linear-bandits-optimization-of-causal-effects-for-the-real-world-1905.13121"/></url>
<url><loc>https://scifaro.com/en/abs/sinkhorn-barycenters-with-free-support-via-frank-wolfe-algorithm-1905.13194</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sinkhorn-barycenters-with-free-support-via-frank-wolfe-algorithm-1905.13194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sinkhorn-barycenters-with-free-support-via-frank-wolfe-algorithm-1905.13194"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-uncertainty-by-learning-a-hierarchy-of-deep-neural-connections-1905.13195</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-uncertainty-by-learning-a-hierarchy-of-deep-neural-connections-1905.13195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-uncertainty-by-learning-a-hierarchy-of-deep-neural-connections-1905.13195"/></url>
<url><loc>https://scifaro.com/en/abs/clustered-gaussian-graphical-model-via-symmetric-convex-clustering-1905.13251</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustered-gaussian-graphical-model-via-symmetric-convex-clustering-1905.13251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustered-gaussian-graphical-model-via-symmetric-convex-clustering-1905.13251"/></url>
<url><loc>https://scifaro.com/en/abs/learning-nearest-neighbor-graphs-from-noisy-distance-samples-1905.13267</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-nearest-neighbor-graphs-from-noisy-distance-samples-1905.13267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-nearest-neighbor-graphs-from-noisy-distance-samples-1905.13267"/></url>
<url><loc>https://scifaro.com/en/abs/langevin-monte-carlo-without-smoothness-1905.13285</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/langevin-monte-carlo-without-smoothness-1905.13285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/langevin-monte-carlo-without-smoothness-1905.13285"/></url>
<url><loc>https://scifaro.com/en/abs/seeing-the-wind-visual-wind-speed-prediction-with-a-coupled-convolutional-and-recurrent-neural-network-1905.13290</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seeing-the-wind-visual-wind-speed-prediction-with-a-coupled-convolutional-and-recurrent-neural-network-1905.13290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seeing-the-wind-visual-wind-speed-prediction-with-a-coupled-convolutional-and-recurrent-neural-network-1905.13290"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayesian-transportation-bound-1905.13435</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayesian-transportation-bound-1905.13435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayesian-transportation-bound-1905.13435"/></url>
<url><loc>https://scifaro.com/en/abs/reverse-kl-divergence-training-of-prior-networks-improved-uncertainty-and-adversarial-robustness-1905.13472</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reverse-kl-divergence-training-of-prior-networks-improved-uncertainty-and-adversarial-robustness-1905.13472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reverse-kl-divergence-training-of-prior-networks-improved-uncertainty-and-adversarial-robustness-1905.13472"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-series-framework-for-demand-forecasts-in-e-commerce-1905.13614</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-series-framework-for-demand-forecasts-in-e-commerce-1905.13614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-series-framework-for-demand-forecasts-in-e-commerce-1905.13614"/></url>
<url><loc>https://scifaro.com/en/abs/exact-convergence-rates-of-the-neural-tangent-kernel-in-the-large-depth-limit-1905.13654</loc><lastmod>2022-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-convergence-rates-of-the-neural-tangent-kernel-in-the-large-depth-limit-1905.13654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-convergence-rates-of-the-neural-tangent-kernel-in-the-large-depth-limit-1905.13654"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-cross-validation-in-high-dimensions-with-guarantees-1905.13657</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-cross-validation-in-high-dimensions-with-guarantees-1905.13657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-cross-validation-in-high-dimensions-with-guarantees-1905.13657"/></url>
<url><loc>https://scifaro.com/en/abs/rkhsmetamod-an-r-package-to-estimate-the-hoeffding-decomposition-of-a-complex-model-by-solving-rkhs-ridge-group-sparse-optimization-problem-1905.13695</loc><lastmod>2021-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rkhsmetamod-an-r-package-to-estimate-the-hoeffding-decomposition-of-a-complex-model-by-solving-rkhs-ridge-group-sparse-optimization-problem-1905.13695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rkhsmetamod-an-r-package-to-estimate-the-hoeffding-decomposition-of-a-complex-model-by-solving-rkhs-ridge-group-sparse-optimization-problem-1905.13695"/></url>
<url><loc>https://scifaro.com/en/abs/neural-likelihoods-for-multi-output-gaussian-processes-1905.13697</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-likelihoods-for-multi-output-gaussian-processes-1905.13697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-likelihoods-for-multi-output-gaussian-processes-1905.13697"/></url>
<url><loc>https://scifaro.com/en/abs/unlabeled-data-improves-adversarial-robustness-1905.13736</loc><lastmod>2022-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unlabeled-data-improves-adversarial-robustness-1905.13736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unlabeled-data-improves-adversarial-robustness-1905.13736"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-classification-via-regularized-and-unregularized-empirical-risk-minimization-precise-error-and-optimal-loss-1905.13742</loc><lastmod>2020-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-classification-via-regularized-and-unregularized-empirical-risk-minimization-precise-error-and-optimal-loss-1905.13742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-classification-via-regularized-and-unregularized-empirical-risk-minimization-precise-error-and-optimal-loss-1905.13742"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-deconditional-kernel-mean-embeddings-1906.00199</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-deconditional-kernel-mean-embeddings-1906.00199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-deconditional-kernel-mean-embeddings-1906.00199"/></url>
<url><loc>https://scifaro.com/en/abs/patient-specific-effects-of-medication-using-latent-force-models-with-gaussian-processes-1906.00226</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/patient-specific-effects-of-medication-using-latent-force-models-with-gaussian-processes-1906.00226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/patient-specific-effects-of-medication-using-latent-force-models-with-gaussian-processes-1906.00226"/></url>
<url><loc>https://scifaro.com/en/abs/improving-vaes-robustness-to-adversarial-attack-1906.00230</loc><lastmod>2021-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-vaes-robustness-to-adversarial-attack-1906.00230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-vaes-robustness-to-adversarial-attack-1906.00230"/></url>
<url><loc>https://scifaro.com/en/abs/robust-approximate-linear-regression-without-correspondence-1906.00273</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-approximate-linear-regression-without-correspondence-1906.00273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-approximate-linear-regression-without-correspondence-1906.00273"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-algorithmic-fairness-with-unobserved-protected-class-using-data-combination-1906.00285</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-algorithmic-fairness-with-unobserved-protected-class-using-data-combination-1906.00285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-algorithmic-fairness-with-unobserved-protected-class-using-data-combination-1906.00285"/></url>
<url><loc>https://scifaro.com/en/abs/ganchors-realistic-image-perturbation-distributions-for-anchors-using-generative-models-1906.00297</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ganchors-realistic-image-perturbation-distributions-for-anchors-using-generative-models-1906.00297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ganchors-realistic-image-perturbation-distributions-for-anchors-using-generative-models-1906.00297"/></url>
<url><loc>https://scifaro.com/en/abs/bregmn-scaled-bregman-generative-modeling-networks-1906.00313</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bregmn-scaled-bregman-generative-modeling-networks-1906.00313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bregmn-scaled-bregman-generative-modeling-networks-1906.00313"/></url>
<url><loc>https://scifaro.com/en/abs/capabilities-and-limitations-of-time-lagged-autoencoders-for-slow-mode-discovery-in-dynamical-systems-1906.00325</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/capabilities-and-limitations-of-time-lagged-autoencoders-for-slow-mode-discovery-in-dynamical-systems-1906.00325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/capabilities-and-limitations-of-time-lagged-autoencoders-for-slow-mode-discovery-in-dynamical-systems-1906.00325"/></url>
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<url><loc>https://scifaro.com/en/abs/an-evaluation-toolkit-to-guide-model-selection-and-cohort-definition-in-causal-inference-1906.00442</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-evaluation-toolkit-to-guide-model-selection-and-cohort-definition-in-causal-inference-1906.00442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-evaluation-toolkit-to-guide-model-selection-and-cohort-definition-in-causal-inference-1906.00442"/></url>
<url><loc>https://scifaro.com/en/abs/graphon-estimation-from-partially-observed-network-data-1906.00494</loc><lastmod>2019-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphon-estimation-from-partially-observed-network-data-1906.00494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphon-estimation-from-partially-observed-network-data-1906.00494"/></url>
<url><loc>https://scifaro.com/en/abs/maxgap-bandit-adaptive-algorithms-for-approximate-ranking-1906.00547</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maxgap-bandit-adaptive-algorithms-for-approximate-ranking-1906.00547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maxgap-bandit-adaptive-algorithms-for-approximate-ranking-1906.00547"/></url>
<url><loc>https://scifaro.com/en/abs/a-mean-field-theory-of-quantized-deep-networks-the-quantization-depth-trade-off-1906.00771</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-mean-field-theory-of-quantized-deep-networks-the-quantization-depth-trade-off-1906.00771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-mean-field-theory-of-quantized-deep-networks-the-quantization-depth-trade-off-1906.00771"/></url>
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<url><loc>https://scifaro.com/en/abs/separable-layers-enable-structured-efficient-linear-substitutions-1906.00859</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/separable-layers-enable-structured-efficient-linear-substitutions-1906.00859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/separable-layers-enable-structured-efficient-linear-substitutions-1906.00859"/></url>
<url><loc>https://scifaro.com/en/abs/deep-relu-networks-have-surprisingly-few-activation-patterns-1906.00904</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-relu-networks-have-surprisingly-few-activation-patterns-1906.00904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-relu-networks-have-surprisingly-few-activation-patterns-1906.00904"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-robustness-as-a-prior-for-learned-representations-1906.00945</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-robustness-as-a-prior-for-learned-representations-1906.00945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-robustness-as-a-prior-for-learned-representations-1906.00945"/></url>
<url><loc>https://scifaro.com/en/abs/symmetry-adapted-generation-of-3d-point-sets-for-the-targeted-discovery-of-molecules-1906.00957</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symmetry-adapted-generation-of-3d-point-sets-for-the-targeted-discovery-of-molecules-1906.00957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symmetry-adapted-generation-of-3d-point-sets-for-the-targeted-discovery-of-molecules-1906.00957"/></url>
<url><loc>https://scifaro.com/en/abs/robust-gaussian-process-regression-for-real-time-high-precision-gps-signal-enhancement-1906.01095</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-gaussian-process-regression-for-real-time-high-precision-gps-signal-enhancement-1906.01095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-gaussian-process-regression-for-real-time-high-precision-gps-signal-enhancement-1906.01095"/></url>
<url><loc>https://scifaro.com/en/abs/meme-an-accurate-maximum-entropy-method-for-efficient-approximations-in-large-scale-machine-learning-1906.01101</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meme-an-accurate-maximum-entropy-method-for-efficient-approximations-in-large-scale-machine-learning-1906.01101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meme-an-accurate-maximum-entropy-method-for-efficient-approximations-in-large-scale-machine-learning-1906.01101"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-machine-learning-forecasts-for-the-fifa-women-s-world-cup-2019-1906.01131</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-machine-learning-forecasts-for-the-fifa-women-s-world-cup-2019-1906.01131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-machine-learning-forecasts-for-the-fifa-women-s-world-cup-2019-1906.01131"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-restricted-isometry-property-analysis-for-a-large-class-of-random-measurement-ensembles-1906.01198</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-restricted-isometry-property-analysis-for-a-large-class-of-random-measurement-ensembles-1906.01198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-restricted-isometry-property-analysis-for-a-large-class-of-random-measurement-ensembles-1906.01198"/></url>
<url><loc>https://scifaro.com/en/abs/universal-boosting-variational-inference-1906.01235</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-boosting-variational-inference-1906.01235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-boosting-variational-inference-1906.01235"/></url>
<url><loc>https://scifaro.com/en/abs/the-extended-dawid-skene-model-fusing-information-from-multiple-data-schemas-1906.01251</loc><lastmod>2020-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-extended-dawid-skene-model-fusing-information-from-multiple-data-schemas-1906.01251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-extended-dawid-skene-model-fusing-information-from-multiple-data-schemas-1906.01251"/></url>
<url><loc>https://scifaro.com/en/abs/concept-tree-high-level-representation-of-variables-for-more-interpretable-surrogate-decision-trees-1906.01297</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concept-tree-high-level-representation-of-variables-for-more-interpretable-surrogate-decision-trees-1906.01297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concept-tree-high-level-representation-of-variables-for-more-interpretable-surrogate-decision-trees-1906.01297"/></url>
<url><loc>https://scifaro.com/en/abs/what-do-ai-algorithms-actually-learn-on-false-structures-in-deep-learning-1906.01478</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-do-ai-algorithms-actually-learn-on-false-structures-in-deep-learning-1906.01478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-do-ai-algorithms-actually-learn-on-false-structures-in-deep-learning-1906.01478"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-of-composite-functions-1906.01537</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-of-composite-functions-1906.01537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-of-composite-functions-1906.01537"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-variational-monte-carlo-1906.01549</loc><lastmod>2023-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-variational-monte-carlo-1906.01549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-variational-monte-carlo-1906.01549"/></url>
<url><loc>https://scifaro.com/en/abs/towards-task-and-architecture-independent-generalization-gap-predictors-1906.01550</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-task-and-architecture-independent-generalization-gap-predictors-1906.01550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-task-and-architecture-independent-generalization-gap-predictors-1906.01550"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-disparate-impacts-of-personalized-interventions-identifiability-and-bounds-1906.01552</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-disparate-impacts-of-personalized-interventions-identifiability-and-bounds-1906.01552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-disparate-impacts-of-personalized-interventions-identifiability-and-bounds-1906.01552"/></url>
<url><loc>https://scifaro.com/en/abs/fr-echet-random-forests-for-metric-space-valued-regression-with-non-euclidean-predictors-1906.01741</loc><lastmod>2024-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fr-echet-random-forests-for-metric-space-valued-regression-with-non-euclidean-predictors-1906.01741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fr-echet-random-forests-for-metric-space-valued-regression-with-non-euclidean-predictors-1906.01741"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-hypergraph-grammars-for-efficient-molecular-optimization-1906.01845</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-hypergraph-grammars-for-efficient-molecular-optimization-1906.01845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-hypergraph-grammars-for-efficient-molecular-optimization-1906.01845"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-inference-turns-deep-networks-into-gaussian-processes-1906.01930</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-inference-turns-deep-networks-into-gaussian-processes-1906.01930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-inference-turns-deep-networks-into-gaussian-processes-1906.01930"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-estimators-for-the-variance-of-mmd-estimators-1906.02104</loc><lastmod>2022-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-estimators-for-the-variance-of-mmd-estimators-1906.02104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-estimators-for-the-variance-of-mmd-estimators-1906.02104"/></url>
<url><loc>https://scifaro.com/en/abs/adapting-neural-networks-for-the-estimation-of-treatment-effects-1906.02120</loc><lastmod>2019-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapting-neural-networks-for-the-estimation-of-treatment-effects-1906.02120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapting-neural-networks-for-the-estimation-of-treatment-effects-1906.02120"/></url>
<url><loc>https://scifaro.com/en/abs/cubic-spline-flows-1906.02145</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cubic-spline-flows-1906.02145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cubic-spline-flows-1906.02145"/></url>
<url><loc>https://scifaro.com/en/abs/syntax-infused-variational-autoencoder-for-text-generation-1906.02181</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/syntax-infused-variational-autoencoder-for-text-generation-1906.02181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/syntax-infused-variational-autoencoder-for-text-generation-1906.02181"/></url>
<url><loc>https://scifaro.com/en/abs/noise-contrastive-meta-learning-for-conditional-density-estimation-using-kernel-mean-embeddings-1906.02236</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-contrastive-meta-learning-for-conditional-density-estimation-using-kernel-mean-embeddings-1906.02236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-contrastive-meta-learning-for-conditional-density-estimation-using-kernel-mean-embeddings-1906.02236"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-initialize-your-network-robust-initialization-for-weightnorm-resnets-1906.02341</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-initialize-your-network-robust-initialization-for-weightnorm-resnets-1906.02341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-initialize-your-network-robust-initialization-for-weightnorm-resnets-1906.02341"/></url>
<url><loc>https://scifaro.com/en/abs/qsparse-local-sgd-distributed-sgd-with-quantization-sparsification-and-local-computations-1906.02367</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/qsparse-local-sgd-distributed-sgd-with-quantization-sparsification-and-local-computations-1906.02367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/qsparse-local-sgd-distributed-sgd-with-quantization-sparsification-and-local-computations-1906.02367"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-mathcal-o-n-2-hyper-parameter-optimization-for-gaussian-process-regression-with-cross-validation-and-non-linearly-constrained-admm-1906.02387</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-mathcal-o-n-2-hyper-parameter-optimization-for-gaussian-process-regression-with-cross-validation-and-non-linearly-constrained-admm-1906.02387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-mathcal-o-n-2-hyper-parameter-optimization-for-gaussian-process-regression-with-cross-validation-and-non-linearly-constrained-admm-1906.02387"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-parallel-training-of-hierarchical-dirichlet-process-topic-models-1906.02416</loc><lastmod>2020-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-parallel-training-of-hierarchical-dirichlet-process-topic-models-1906.02416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-parallel-training-of-hierarchical-dirichlet-process-topic-models-1906.02416"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-adversarial-behavior-of-dnns-by-disentangling-non-robust-and-robust-components-in-performance-metric-1906.02494</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-adversarial-behavior-of-dnns-by-disentangling-non-robust-and-robust-components-in-performance-metric-1906.02494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-adversarial-behavior-of-dnns-by-disentangling-non-robust-and-robust-components-in-performance-metric-1906.02494"/></url>
<url><loc>https://scifaro.com/en/abs/practical-deep-learning-with-bayesian-principles-1906.02506</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-deep-learning-with-bayesian-principles-1906.02506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-deep-learning-with-bayesian-principles-1906.02506"/></url>
<url><loc>https://scifaro.com/en/abs/can-you-trust-your-model-s-uncertainty-evaluating-predictive-uncertainty-under-dataset-shift-1906.02530</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-you-trust-your-model-s-uncertainty-evaluating-predictive-uncertainty-under-dataset-shift-1906.02530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-you-trust-your-model-s-uncertainty-evaluating-predictive-uncertainty-under-dataset-shift-1906.02530"/></url>
<url><loc>https://scifaro.com/en/abs/combining-generative-and-discriminative-models-for-hybrid-inference-1906.02547</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-generative-and-discriminative-models-for-hybrid-inference-1906.02547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-generative-and-discriminative-models-for-hybrid-inference-1906.02547"/></url>
<url><loc>https://scifaro.com/en/abs/linear-and-quadratic-discriminant-analysis-tutorial-1906.02590</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-and-quadratic-discriminant-analysis-tutorial-1906.02590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-and-quadratic-discriminant-analysis-tutorial-1906.02590"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-bandits-with-context-distributions-1906.02685</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-bandits-with-context-distributions-1906.02685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-bandits-with-context-distributions-1906.02685"/></url>
<url><loc>https://scifaro.com/en/abs/learning-gaussian-graphical-models-with-ordered-weighted-l1-regularization-1906.02719</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-gaussian-graphical-models-with-ordered-weighted-l1-regularization-1906.02719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-gaussian-graphical-models-with-ordered-weighted-l1-regularization-1906.02719"/></url>
<url><loc>https://scifaro.com/en/abs/residual-flows-for-invertible-generative-modeling-1906.02735</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/residual-flows-for-invertible-generative-modeling-1906.02735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/residual-flows-for-invertible-generative-modeling-1906.02735"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-and-synchronization-from-pairwise-measurements-via-svd-1906.02746</loc><lastmod>2020-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-and-synchronization-from-pairwise-measurements-via-svd-1906.02746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-and-synchronization-from-pairwise-measurements-via-svd-1906.02746"/></url>
<url><loc>https://scifaro.com/en/abs/playing-the-lottery-with-rewards-and-multiple-languages-lottery-tickets-in-rl-and-nlp-1906.02768</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/playing-the-lottery-with-rewards-and-multiple-languages-lottery-tickets-in-rl-and-nlp-1906.02768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/playing-the-lottery-with-rewards-and-multiple-languages-lottery-tickets-in-rl-and-nlp-1906.02768"/></url>
<url><loc>https://scifaro.com/en/abs/one-ticket-to-win-them-all-generalizing-lottery-ticket-initializations-across-datasets-and-optimizers-1906.02773</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-ticket-to-win-them-all-generalizing-lottery-ticket-initializations-across-datasets-and-optimizers-1906.02773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-ticket-to-win-them-all-generalizing-lottery-ticket-initializations-across-datasets-and-optimizers-1906.02773"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-ratios-for-out-of-distribution-detection-1906.02845</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-ratios-for-out-of-distribution-detection-1906.02845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-ratios-for-out-of-distribution-detection-1906.02845"/></url>
<url><loc>https://scifaro.com/en/abs/vertex-classification-on-weighted-networks-1906.02881</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vertex-classification-on-weighted-networks-1906.02881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vertex-classification-on-weighted-networks-1906.02881"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-simple-natural-gradient-variational-inference-with-mixture-of-exponential-family-approximations-1906.02914</loc><lastmod>2020-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-simple-natural-gradient-variational-inference-with-mixture-of-exponential-family-approximations-1906.02914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-simple-natural-gradient-variational-inference-with-mixture-of-exponential-family-approximations-1906.02914"/></url>
<url><loc>https://scifaro.com/en/abs/the-normalization-method-for-alleviating-pathological-sharpness-in-wide-neural-networks-1906.02926</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-normalization-method-for-alleviating-pathological-sharpness-in-wide-neural-networks-1906.02926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-normalization-method-for-alleviating-pathological-sharpness-in-wide-neural-networks-1906.02926"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-out-of-distribution-inputs-to-deep-generative-models-using-typicality-1906.02994</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-out-of-distribution-inputs-to-deep-generative-models-using-typicality-1906.02994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-out-of-distribution-inputs-to-deep-generative-models-using-typicality-1906.02994"/></url>
<url><loc>https://scifaro.com/en/abs/online-graph-based-change-point-detection-for-high-dimensional-data-1906.03001</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-graph-based-change-point-detection-for-high-dimensional-data-1906.03001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-graph-based-change-point-detection-for-high-dimensional-data-1906.03001"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-reparameterisation-of-probabilistic-programs-1906.03028</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-reparameterisation-of-probabilistic-programs-1906.03028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-reparameterisation-of-probabilistic-programs-1906.03028"/></url>
<url><loc>https://scifaro.com/en/abs/computing-tight-differential-privacy-guarantees-using-fft-1906.03049</loc><lastmod>2020-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-tight-differential-privacy-guarantees-using-fft-1906.03049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-tight-differential-privacy-guarantees-using-fft-1906.03049"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-current-state-of-research-in-explaining-ensemble-performance-using-margins-1906.03123</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-current-state-of-research-in-explaining-ensemble-performance-using-margins-1906.03123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-current-state-of-research-in-explaining-ensemble-performance-using-margins-1906.03123"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-and-supervised-principal-component-analysis-tutorial-1906.03148</loc><lastmod>2022-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-and-supervised-principal-component-analysis-tutorial-1906.03148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-and-supervised-principal-component-analysis-tutorial-1906.03148"/></url>
<url><loc>https://scifaro.com/en/abs/structured-variational-inference-in-continuous-cox-process-models-1906.03161</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-variational-inference-in-continuous-cox-process-models-1906.03161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-variational-inference-in-continuous-cox-process-models-1906.03161"/></url>
<url><loc>https://scifaro.com/en/abs/kernelized-capsule-networks-1906.03164</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernelized-capsule-networks-1906.03164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernelized-capsule-networks-1906.03164"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-kernel-networks-1906.03200</loc><lastmod>2019-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-kernel-networks-1906.03200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-kernel-networks-1906.03200"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-pruning-via-margin-maximization-1906.03247</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-pruning-via-margin-maximization-1906.03247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-pruning-via-margin-maximization-1906.03247"/></url>
<url><loc>https://scifaro.com/en/abs/disentangled-state-space-representations-1906.03255</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangled-state-space-representations-1906.03255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangled-state-space-representations-1906.03255"/></url>
<url><loc>https://scifaro.com/en/abs/reliable-training-and-estimation-of-variance-networks-1906.03260</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliable-training-and-estimation-of-variance-networks-1906.03260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliable-training-and-estimation-of-variance-networks-1906.03260"/></url>
<url><loc>https://scifaro.com/en/abs/equalized-odds-postprocessing-under-imperfect-group-information-1906.03284</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equalized-odds-postprocessing-under-imperfect-group-information-1906.03284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equalized-odds-postprocessing-under-imperfect-group-information-1906.03284"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-adaptive-nonparametric-variational-autoencoder-1906.03288</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-adaptive-nonparametric-variational-autoencoder-1906.03288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-adaptive-nonparametric-variational-autoencoder-1906.03288"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-transfer-of-inductive-bias-from-simulation-to-the-real-world-a-new-disentanglement-dataset-1906.03292</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-transfer-of-inductive-bias-from-simulation-to-the-real-world-a-new-disentanglement-dataset-1906.03292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-transfer-of-inductive-bias-from-simulation-to-the-real-world-a-new-disentanglement-dataset-1906.03292"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-transport-relaxations-with-application-to-wasserstein-gans-1906.03317</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-transport-relaxations-with-application-to-wasserstein-gans-1906.03317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-transport-relaxations-with-application-to-wasserstein-gans-1906.03317"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-non-conjugate-gaussian-process-factor-models-for-spike-count-data-using-polynomial-approximations-1906.03318</loc><lastmod>2020-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-non-conjugate-gaussian-process-factor-models-for-spike-count-data-using-polynomial-approximations-1906.03318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-non-conjugate-gaussian-process-factor-models-for-spike-count-data-using-polynomial-approximations-1906.03318"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-variational-inference-bayesian-coresets-from-scratch-1906.03329</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-variational-inference-bayesian-coresets-from-scratch-1906.03329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-variational-inference-bayesian-coresets-from-scratch-1906.03329"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-minimax-linkage-1906.03336</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-minimax-linkage-1906.03336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-minimax-linkage-1906.03336"/></url>
<url><loc>https://scifaro.com/en/abs/lift-up-and-act-classifier-performance-in-resource-constrained-applications-1906.03374</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lift-up-and-act-classifier-performance-in-resource-constrained-applications-1906.03374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lift-up-and-act-classifier-performance-in-resource-constrained-applications-1906.03374"/></url>
<url><loc>https://scifaro.com/en/abs/proposed-guidelines-for-the-responsible-use-of-explainable-machine-learning-1906.03533</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proposed-guidelines-for-the-responsible-use-of-explainable-machine-learning-1906.03533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proposed-guidelines-for-the-responsible-use-of-explainable-machine-learning-1906.03533"/></url>
<url><loc>https://scifaro.com/en/abs/the-implicit-bias-of-adagrad-on-separable-data-1906.03559</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-implicit-bias-of-adagrad-on-separable-data-1906.03559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-implicit-bias-of-adagrad-on-separable-data-1906.03559"/></url>
<url><loc>https://scifaro.com/en/abs/robust-conditional-gans-under-missing-or-uncertain-labels-1906.03579</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-conditional-gans-under-missing-or-uncertain-labels-1906.03579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-conditional-gans-under-missing-or-uncertain-labels-1906.03579"/></url>
<url><loc>https://scifaro.com/en/abs/the-implicit-metropolis-hastings-algorithm-1906.03644</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-implicit-metropolis-hastings-algorithm-1906.03644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-implicit-metropolis-hastings-algorithm-1906.03644"/></url>
<url><loc>https://scifaro.com/en/abs/a-variant-of-gaussian-process-dynamical-systems-1906.03647</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-variant-of-gaussian-process-dynamical-systems-1906.03647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-variant-of-gaussian-process-dynamical-systems-1906.03647"/></url>
<url><loc>https://scifaro.com/en/abs/integrative-factorization-of-bidimensionally-linked-matrices-1906.03722</loc><lastmod>2020-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrative-factorization-of-bidimensionally-linked-matrices-1906.03722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrative-factorization-of-bidimensionally-linked-matrices-1906.03722"/></url>
<url><loc>https://scifaro.com/en/abs/the-impact-of-regularization-on-high-dimensional-logistic-regression-1906.03761</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-impact-of-regularization-on-high-dimensional-logistic-regression-1906.03761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-impact-of-regularization-on-high-dimensional-logistic-regression-1906.03761"/></url>
<url><loc>https://scifaro.com/en/abs/a-cost-reducing-partial-labeling-estimator-in-text-classification-problem-1906.03768</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-cost-reducing-partial-labeling-estimator-in-text-classification-problem-1906.03768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-cost-reducing-partial-labeling-estimator-in-text-classification-problem-1906.03768"/></url>
<url><loc>https://scifaro.com/en/abs/the-broad-optimality-of-profile-maximum-likelihood-1906.03794</loc><lastmod>2019-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-broad-optimality-of-profile-maximum-likelihood-1906.03794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-broad-optimality-of-profile-maximum-likelihood-1906.03794"/></url>
<url><loc>https://scifaro.com/en/abs/multiway-clustering-via-tensor-block-models-1906.03807</loc><lastmod>2021-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiway-clustering-via-tensor-block-models-1906.03807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiway-clustering-via-tensor-block-models-1906.03807"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-humans-for-optimizing-preferences-in-coloring-artwork-1906.03813</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-humans-for-optimizing-preferences-in-coloring-artwork-1906.03813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-humans-for-optimizing-preferences-in-coloring-artwork-1906.03813"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-automatic-relevance-determination-for-utility-function-specification-in-discrete-choice-models-1906.03855</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-automatic-relevance-determination-for-utility-function-specification-in-discrete-choice-models-1906.03855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-automatic-relevance-determination-for-utility-function-specification-in-discrete-choice-models-1906.03855"/></url>
<url><loc>https://scifaro.com/en/abs/goodness-of-fit-test-for-latent-block-models-1906.03886</loc><lastmod>2020-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/goodness-of-fit-test-for-latent-block-models-1906.03886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/goodness-of-fit-test-for-latent-block-models-1906.03886"/></url>
<url><loc>https://scifaro.com/en/abs/neural-spline-flows-1906.04032</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-spline-flows-1906.04032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-spline-flows-1906.04032"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-insufficiency-of-the-large-margins-theory-in-explaining-the-performance-of-ensemble-methods-1906.04063</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-insufficiency-of-the-large-margins-theory-in-explaining-the-performance-of-ensemble-methods-1906.04063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-insufficiency-of-the-large-margins-theory-in-explaining-the-performance-of-ensemble-methods-1906.04063"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-model-of-dose-response-for-cancer-drug-studies-1906.04072</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-model-of-dose-response-for-cancer-drug-studies-1906.04072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-model-of-dose-response-for-cancer-drug-studies-1906.04072"/></url>
<url><loc>https://scifaro.com/en/abs/confidence-intervals-for-class-prevalences-under-prior-probability-shift-1906.04119</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidence-intervals-for-class-prevalences-under-prior-probability-shift-1906.04119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidence-intervals-for-class-prevalences-under-prior-probability-shift-1906.04119"/></url>
<url><loc>https://scifaro.com/en/abs/inference-and-uncertainty-quantification-for-noisy-matrix-completion-1906.04159</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-and-uncertainty-quantification-for-noisy-matrix-completion-1906.04159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-and-uncertainty-quantification-for-noisy-matrix-completion-1906.04159"/></url>
<url><loc>https://scifaro.com/en/abs/salt-subspace-alignment-as-an-auxiliary-learning-task-for-domain-adaptation-1906.04338</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/salt-subspace-alignment-as-an-auxiliary-learning-task-for-domain-adaptation-1906.04338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/salt-subspace-alignment-as-an-auxiliary-learning-task-for-domain-adaptation-1906.04338"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-mean-discrepancy-gradient-flow-1906.04370</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-mean-discrepancy-gradient-flow-1906.04370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-mean-discrepancy-gradient-flow-1906.04370"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-forecasting-with-temporal-convolutional-neural-network-1906.04397</loc><lastmod>2020-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-forecasting-with-temporal-convolutional-neural-network-1906.04397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-forecasting-with-temporal-convolutional-neural-network-1906.04397"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-structure-learning-with-automatic-sparsity-selection-for-causal-graph-processes-1906.04479</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-structure-learning-with-automatic-sparsity-selection-for-causal-graph-processes-1906.04479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-structure-learning-with-automatic-sparsity-selection-for-causal-graph-processes-1906.04479"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-variational-inference-based-on-a-finite-sample-of-gaussian-latent-variables-1906.04507</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-variational-inference-based-on-a-finite-sample-of-gaussian-latent-variables-1906.04507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-variational-inference-based-on-a-finite-sample-of-gaussian-latent-variables-1906.04507"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-guarantees-for-learning-generative-models-with-the-sliced-wasserstein-distance-1906.04516</loc><lastmod>2020-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-guarantees-for-learning-generative-models-with-the-sliced-wasserstein-distance-1906.04516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-guarantees-for-learning-generative-models-with-the-sliced-wasserstein-distance-1906.04516"/></url>
<url><loc>https://scifaro.com/en/abs/principled-training-of-neural-networks-with-direct-feedback-alignment-1906.04554</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principled-training-of-neural-networks-with-direct-feedback-alignment-1906.04554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principled-training-of-neural-networks-with-direct-feedback-alignment-1906.04554"/></url>
<url><loc>https://scifaro.com/en/abs/stable-rank-normalization-for-improved-generalization-in-neural-networks-and-gans-1906.04659</loc><lastmod>2020-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-rank-normalization-for-improved-generalization-in-neural-networks-and-gans-1906.04659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-rank-normalization-for-improved-generalization-in-neural-networks-and-gans-1906.04659"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-universality-of-noiseless-linear-estimation-with-respect-to-the-measurement-matrix-1906.04735</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-universality-of-noiseless-linear-estimation-with-respect-to-the-measurement-matrix-1906.04735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-universality-of-noiseless-linear-estimation-with-respect-to-the-measurement-matrix-1906.04735"/></url>
<url><loc>https://scifaro.com/en/abs/medium-term-load-forecasting-using-support-vector-regression-feature-selection-and-symbiotic-organism-search-optimization-1906.04818</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/medium-term-load-forecasting-using-support-vector-regression-feature-selection-and-symbiotic-organism-search-optimization-1906.04818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/medium-term-load-forecasting-using-support-vector-regression-feature-selection-and-symbiotic-organism-search-optimization-1906.04818"/></url>
<url><loc>https://scifaro.com/en/abs/adass-adaptive-sample-selection-for-training-acceleration-1906.04819</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adass-adaptive-sample-selection-for-training-acceleration-1906.04819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adass-adaptive-sample-selection-for-training-acceleration-1906.04819"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-accurate-statistical-estimation-1906.04870</loc><lastmod>2021-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-accurate-statistical-estimation-1906.04870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-accurate-statistical-estimation-1906.04870"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-generative-models-with-annealed-importance-sampling-1906.04904</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-generative-models-with-annealed-importance-sampling-1906.04904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-generative-models-with-annealed-importance-sampling-1906.04904"/></url>
<url><loc>https://scifaro.com/en/abs/attention-based-multi-input-deep-learning-architecture-for-biological-activity-prediction-an-application-in-egfr-inhibitors-1906.05168</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-based-multi-input-deep-learning-architecture-for-biological-activity-prediction-an-application-in-egfr-inhibitors-1906.05168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-based-multi-input-deep-learning-architecture-for-biological-activity-prediction-an-application-in-egfr-inhibitors-1906.05168"/></url>
<url><loc>https://scifaro.com/en/abs/task-agnostic-continual-learning-via-meta-learning-1906.05201</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-agnostic-continual-learning-via-meta-learning-1906.05201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-agnostic-continual-learning-via-meta-learning-1906.05201"/></url>
<url><loc>https://scifaro.com/en/abs/bootstrapping-upper-confidence-bound-1906.05247</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bootstrapping-upper-confidence-bound-1906.05247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bootstrapping-upper-confidence-bound-1906.05247"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-low-rank-tensor-recovery-1906.05346</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-low-rank-tensor-recovery-1906.05346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-low-rank-tensor-recovery-1906.05346"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-canonical-correlation-analysis-with-convergence-and-statistical-guarantees-1906.05358</loc><lastmod>2020-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-canonical-correlation-analysis-with-convergence-and-statistical-guarantees-1906.05358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-canonical-correlation-analysis-with-convergence-and-statistical-guarantees-1906.05358"/></url>
<url><loc>https://scifaro.com/en/abs/copulas-as-high-dimensional-generative-models-vine-copula-autoencoders-1906.05423</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/copulas-as-high-dimensional-generative-models-vine-copula-autoencoders-1906.05423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/copulas-as-high-dimensional-generative-models-vine-copula-autoencoders-1906.05423"/></url>
<url><loc>https://scifaro.com/en/abs/random-tessellation-forests-1906.05440</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-tessellation-forests-1906.05440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-tessellation-forests-1906.05440"/></url>
<url><loc>https://scifaro.com/en/abs/selective-prediction-set-models-with-coverage-guarantees-1906.05473</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selective-prediction-set-models-with-coverage-guarantees-1906.05473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selective-prediction-set-models-with-coverage-guarantees-1906.05473"/></url>
<url><loc>https://scifaro.com/en/abs/overcoming-mean-field-approximations-in-recurrent-gaussian-process-models-1906.05828</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overcoming-mean-field-approximations-in-recurrent-gaussian-process-models-1906.05828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overcoming-mean-field-approximations-in-recurrent-gaussian-process-models-1906.05828"/></url>
<url><loc>https://scifaro.com/en/abs/reweighted-expectation-maximization-1906.05850</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reweighted-expectation-maximization-1906.05850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reweighted-expectation-maximization-1906.05850"/></url>
<url><loc>https://scifaro.com/en/abs/a-stochastic-alternating-minimizing-method-for-sparse-phase-retrieval-1906.05967</loc><lastmod>2019-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-stochastic-alternating-minimizing-method-for-sparse-phase-retrieval-1906.05967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-stochastic-alternating-minimizing-method-for-sparse-phase-retrieval-1906.05967"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-bayes-method-for-boltzmann-machines-1906.06002</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-bayes-method-for-boltzmann-machines-1906.06002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-bayes-method-for-boltzmann-machines-1906.06002"/></url>
<url><loc>https://scifaro.com/en/abs/1-varepsilon-class-classification-an-anomaly-detection-method-for-highly-imbalanced-or-incomplete-data-sets-1906.06096</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/1-varepsilon-class-classification-an-anomaly-detection-method-for-highly-imbalanced-or-incomplete-data-sets-1906.06096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/1-varepsilon-class-classification-an-anomaly-detection-method-for-highly-imbalanced-or-incomplete-data-sets-1906.06096"/></url>
<url><loc>https://scifaro.com/en/abs/learning-landmark-based-ensembles-with-random-fourier-features-and-gradient-boosting-1906.06203</loc><lastmod>2019-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-landmark-based-ensembles-with-random-fourier-features-and-gradient-boosting-1906.06203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-landmark-based-ensembles-with-random-fourier-features-and-gradient-boosting-1906.06203"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-robust-counterfactual-risk-minimization-1906.06211</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-robust-counterfactual-risk-minimization-1906.06211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-robust-counterfactual-risk-minimization-1906.06211"/></url>
<url><loc>https://scifaro.com/en/abs/spectrally-truncated-kernel-ridge-regression-and-its-free-lunch-1906.06276</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectrally-truncated-kernel-ridge-regression-and-its-free-lunch-1906.06276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectrally-truncated-kernel-ridge-regression-and-its-free-lunch-1906.06276"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-relevance-determination-bayesian-neural-networks-for-credit-card-default-modelling-1906.06382</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-relevance-determination-bayesian-neural-networks-for-credit-card-default-modelling-1906.06382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-relevance-determination-bayesian-neural-networks-for-credit-card-default-modelling-1906.06382"/></url>
<url><loc>https://scifaro.com/en/abs/the-true-sample-complexity-of-identifying-good-arms-1906.06594</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-true-sample-complexity-of-identifying-good-arms-1906.06594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-true-sample-complexity-of-identifying-good-arms-1906.06594"/></url>
<url><loc>https://scifaro.com/en/abs/the-price-of-local-fairness-in-multistage-selection-1906.06613</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-price-of-local-fairness-in-multistage-selection-1906.06613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-price-of-local-fairness-in-multistage-selection-1906.06613"/></url>
<url><loc>https://scifaro.com/en/abs/sampler-for-composition-ratio-by-markov-chain-monte-carlo-1906.06663</loc><lastmod>2019-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampler-for-composition-ratio-by-markov-chain-monte-carlo-1906.06663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampler-for-composition-ratio-by-markov-chain-monte-carlo-1906.06663"/></url>
<url><loc>https://scifaro.com/en/abs/global-convergence-of-least-squares-em-for-demixing-two-log-concave-densities-1906.06776</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-convergence-of-least-squares-em-for-demixing-two-log-concave-densities-1906.06776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-convergence-of-least-squares-em-for-demixing-two-log-concave-densities-1906.06776"/></url>
<url><loc>https://scifaro.com/en/abs/interpolated-adversarial-training-achieving-robust-neural-networks-without-sacrificing-too-much-accuracy-1906.06784</loc><lastmod>2022-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpolated-adversarial-training-achieving-robust-neural-networks-without-sacrificing-too-much-accuracy-1906.06784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpolated-adversarial-training-achieving-robust-neural-networks-without-sacrificing-too-much-accuracy-1906.06784"/></url>
<url><loc>https://scifaro.com/en/abs/stacked-capsule-autoencoders-1906.06818</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stacked-capsule-autoencoders-1906.06818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stacked-capsule-autoencoders-1906.06818"/></url>
<url><loc>https://scifaro.com/en/abs/smooth-function-approximation-by-deep-neural-networks-with-general-activation-functions-1906.06903</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smooth-function-approximation-by-deep-neural-networks-with-general-activation-functions-1906.06903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smooth-function-approximation-by-deep-neural-networks-with-general-activation-functions-1906.06903"/></url>
<url><loc>https://scifaro.com/en/abs/metric-on-random-dynamical-systems-with-vector-valued-reproducing-kernel-hilbert-spaces-1906.06957</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metric-on-random-dynamical-systems-with-vector-valued-reproducing-kernel-hilbert-spaces-1906.06957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metric-on-random-dynamical-systems-with-vector-valued-reproducing-kernel-hilbert-spaces-1906.06957"/></url>
<url><loc>https://scifaro.com/en/abs/replacing-the-do-calculus-with-bayes-rule-1906.07125</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/replacing-the-do-calculus-with-bayes-rule-1906.07125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/replacing-the-do-calculus-with-bayes-rule-1906.07125"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-solution-to-the-m-bias-problem-1906.07136</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-solution-to-the-m-bias-problem-1906.07136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-solution-to-the-m-bias-problem-1906.07136"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-with-binary-auxiliary-information-1906.07277</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-with-binary-auxiliary-information-1906.07277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-with-binary-auxiliary-information-1906.07277"/></url>
<url><loc>https://scifaro.com/en/abs/error-correcting-algorithms-for-sparsely-correlated-regressors-1906.07291</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-correcting-algorithms-for-sparsely-correlated-regressors-1906.07291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-correcting-algorithms-for-sparsely-correlated-regressors-1906.07291"/></url>
<url><loc>https://scifaro.com/en/abs/model-selection-for-high-dimensional-linear-regression-with-dependent-observations-1906.07395</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-selection-for-high-dimensional-linear-regression-with-dependent-observations-1906.07395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-selection-for-high-dimensional-linear-regression-with-dependent-observations-1906.07395"/></url>
<url><loc>https://scifaro.com/en/abs/consistency-of-semi-supervised-learning-algorithms-on-graphs-probit-and-one-hot-methods-1906.07658</loc><lastmod>2020-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistency-of-semi-supervised-learning-algorithms-on-graphs-probit-and-one-hot-methods-1906.07658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistency-of-semi-supervised-learning-algorithms-on-graphs-probit-and-one-hot-methods-1906.07658"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-flexible-multi-task-classification-using-conditional-neural-adaptive-processes-1906.07697</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-flexible-multi-task-classification-using-conditional-neural-adaptive-processes-1906.07697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-flexible-multi-task-classification-using-conditional-neural-adaptive-processes-1906.07697"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-quadrature-with-dpps-1906.07832</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-quadrature-with-dpps-1906.07832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-quadrature-with-dpps-1906.07832"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-runge-kutta-accelerates-langevin-monte-carlo-and-beyond-1906.07868</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-runge-kutta-accelerates-langevin-monte-carlo-and-beyond-1906.07868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-runge-kutta-accelerates-langevin-monte-carlo-and-beyond-1906.07868"/></url>
<url><loc>https://scifaro.com/en/abs/identifiability-of-hierarchical-latent-attribute-models-1906.07869</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifiability-of-hierarchical-latent-attribute-models-1906.07869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifiability-of-hierarchical-latent-attribute-models-1906.07869"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-logistic-learning-based-on-exponential-tilt-mixture-models-1906.07882</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-logistic-learning-based-on-exponential-tilt-mixture-models-1906.07882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-logistic-learning-based-on-exponential-tilt-mixture-models-1906.07882"/></url>
<url><loc>https://scifaro.com/en/abs/explanations-can-be-manipulated-and-geometry-is-to-blame-1906.07983</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explanations-can-be-manipulated-and-geometry-is-to-blame-1906.07983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explanations-can-be-manipulated-and-geometry-is-to-blame-1906.07983"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-learning-from-sequential-data-using-gaussian-processes-with-signature-covariances-1906.08215</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-learning-from-sequential-data-using-gaussian-processes-with-signature-covariances-1906.08215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-learning-from-sequential-data-using-gaussian-processes-with-signature-covariances-1906.08215"/></url>
<url><loc>https://scifaro.com/en/abs/local-bures-wasserstein-transport-a-practical-and-fast-mapping-approximation-1906.08227</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-bures-wasserstein-transport-a-practical-and-fast-mapping-approximation-1906.08227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-bures-wasserstein-transport-a-practical-and-fast-mapping-approximation-1906.08227"/></url>
<url><loc>https://scifaro.com/en/abs/multi-resolution-multi-task-gaussian-processes-1906.08344</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-resolution-multi-task-gaussian-processes-1906.08344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-resolution-multi-task-gaussian-processes-1906.08344"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-self-paced-learning-for-mixture-models-of-hawkes-processes-1906.08397</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-self-paced-learning-for-mixture-models-of-hawkes-processes-1906.08397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-self-paced-learning-for-mixture-models-of-hawkes-processes-1906.08397"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-experimental-design-for-transductive-linear-bandits-1906.08399</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-experimental-design-for-transductive-linear-bandits-1906.08399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-experimental-design-for-transductive-linear-bandits-1906.08399"/></url>
<url><loc>https://scifaro.com/en/abs/data-cleansing-for-models-trained-with-sgd-1906.08473</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-cleansing-for-models-trained-with-sgd-1906.08473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-cleansing-for-models-trained-with-sgd-1906.08473"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-data-augmentation-using-graph-imputation-neural-networks-1906.08502</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-data-augmentation-using-graph-imputation-neural-networks-1906.08502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-data-augmentation-using-graph-imputation-neural-networks-1906.08502"/></url>
<url><loc>https://scifaro.com/en/abs/online-a-optimal-design-and-active-linear-regression-1906.08509</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-a-optimal-design-and-active-linear-regression-1906.08509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-a-optimal-design-and-active-linear-regression-1906.08509"/></url>
<url><loc>https://scifaro.com/en/abs/screening-sinkhorn-algorithm-for-regularized-optimal-transport-1906.08540</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/screening-sinkhorn-algorithm-for-regularized-optimal-transport-1906.08540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/screening-sinkhorn-algorithm-for-regularized-optimal-transport-1906.08540"/></url>
<url><loc>https://scifaro.com/en/abs/more-efficient-policy-learning-via-optimal-retargeting-1906.08611</loc><lastmod>2020-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/more-efficient-policy-learning-via-optimal-retargeting-1906.08611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/more-efficient-policy-learning-via-optimal-retargeting-1906.08611"/></url>
<url><loc>https://scifaro.com/en/abs/dynamics-of-stochastic-gradient-descent-for-two-layer-neural-networks-in-the-teacher-student-setup-1906.08632</loc><lastmod>2022-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamics-of-stochastic-gradient-descent-for-two-layer-neural-networks-in-the-teacher-student-setup-1906.08632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamics-of-stochastic-gradient-descent-for-two-layer-neural-networks-in-the-teacher-student-setup-1906.08632"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-error-bounds-for-kernel-matrix-completion-and-extrapolation-1906.08770</loc><lastmod>2020-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-error-bounds-for-kernel-matrix-completion-and-extrapolation-1906.08770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-error-bounds-for-kernel-matrix-completion-and-extrapolation-1906.08770"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimisation-over-multiple-continuous-and-categorical-inputs-1906.08878</loc><lastmod>2020-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimisation-over-multiple-continuous-and-categorical-inputs-1906.08878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimisation-over-multiple-continuous-and-categorical-inputs-1906.08878"/></url>
<url><loc>https://scifaro.com/en/abs/limitations-of-lazy-training-of-two-layers-neural-networks-1906.08899</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/limitations-of-lazy-training-of-two-layers-neural-networks-1906.08899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/limitations-of-lazy-training-of-two-layers-neural-networks-1906.08899"/></url>
<url><loc>https://scifaro.com/en/abs/deep-mixture-point-processes-spatio-temporal-event-prediction-with-rich-contextual-information-1906.08952</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-mixture-point-processes-spatio-temporal-event-prediction-with-rich-contextual-information-1906.08952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-mixture-point-processes-spatio-temporal-event-prediction-with-rich-contextual-information-1906.08952"/></url>
<url><loc>https://scifaro.com/en/abs/first-exit-time-analysis-of-stochastic-gradient-descent-under-heavy-tailed-gradient-noise-1906.09069</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/first-exit-time-analysis-of-stochastic-gradient-descent-under-heavy-tailed-gradient-noise-1906.09069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/first-exit-time-analysis-of-stochastic-gradient-descent-under-heavy-tailed-gradient-noise-1906.09069"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-inference-for-non-linear-latent-force-models-1906.09199</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-inference-for-non-linear-latent-force-models-1906.09199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-inference-for-non-linear-latent-force-models-1906.09199"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-and-forecasting-art-movements-with-cgans-1906.09230</loc><lastmod>2020-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-and-forecasting-art-movements-with-cgans-1906.09230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-and-forecasting-art-movements-with-cgans-1906.09230"/></url>
<url><loc>https://scifaro.com/en/abs/trade-offs-in-large-scale-distributed-tuplewise-estimation-and-learning-1906.09234</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trade-offs-in-large-scale-distributed-tuplewise-estimation-and-learning-1906.09234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trade-offs-in-large-scale-distributed-tuplewise-estimation-and-learning-1906.09234"/></url>
<url><loc>https://scifaro.com/en/abs/on-tree-based-methods-for-similarity-learning-1906.09243</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-tree-based-methods-for-similarity-learning-1906.09243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-tree-based-methods-for-similarity-learning-1906.09243"/></url>
<url><loc>https://scifaro.com/en/abs/max-affine-regression-provable-tractable-and-near-optimal-statistical-estimation-1906.09255</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/max-affine-regression-provable-tractable-and-near-optimal-statistical-estimation-1906.09255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/max-affine-regression-provable-tractable-and-near-optimal-statistical-estimation-1906.09255"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-bayesian-dynamic-covariance-modeling-with-variational-wishart-and-inverse-wishart-processes-1906.09360</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-bayesian-dynamic-covariance-modeling-with-variational-wishart-and-inverse-wishart-processes-1906.09360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-bayesian-dynamic-covariance-modeling-with-variational-wishart-and-inverse-wishart-processes-1906.09360"/></url>
<url><loc>https://scifaro.com/en/abs/the-kernel-spatial-scan-statistic-1906.09381</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-kernel-spatial-scan-statistic-1906.09381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-kernel-spatial-scan-statistic-1906.09381"/></url>
<url><loc>https://scifaro.com/en/abs/model-bridging-connection-between-simulation-model-and-neural-network-1906.09391</loc><lastmod>2020-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-bridging-connection-between-simulation-model-and-neural-network-1906.09391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-bridging-connection-between-simulation-model-and-neural-network-1906.09391"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-learning-for-aggregated-data-using-gaussian-processes-1906.09412</loc><lastmod>2020-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-learning-for-aggregated-data-using-gaussian-processes-1906.09412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-learning-for-aggregated-data-using-gaussian-processes-1906.09412"/></url>
<url><loc>https://scifaro.com/en/abs/fisher-and-kernel-fisher-discriminant-analysis-tutorial-1906.09436</loc><lastmod>2022-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fisher-and-kernel-fisher-discriminant-analysis-tutorial-1906.09436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fisher-and-kernel-fisher-discriminant-analysis-tutorial-1906.09436"/></url>
<url><loc>https://scifaro.com/en/abs/a-unifying-framework-for-variance-reduction-algorithms-for-finding-zeroes-of-monotone-operators-1906.09437</loc><lastmod>2021-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unifying-framework-for-variance-reduction-algorithms-for-finding-zeroes-of-monotone-operators-1906.09437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unifying-framework-for-variance-reduction-algorithms-for-finding-zeroes-of-monotone-operators-1906.09437"/></url>
<url><loc>https://scifaro.com/en/abs/a-support-vector-regression-based-multi-fidelity-surrogate-model-1906.09439</loc><lastmod>2021-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-support-vector-regression-based-multi-fidelity-surrogate-model-1906.09439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-support-vector-regression-based-multi-fidelity-surrogate-model-1906.09439"/></url>
<url><loc>https://scifaro.com/en/abs/the-non-tightness-of-the-reconstruction-threshold-of-a-4-states-symmetric-model-with-different-in-block-and-out-block-mutations-1906.09479</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-non-tightness-of-the-reconstruction-threshold-of-a-4-states-symmetric-model-with-different-in-block-and-out-block-mutations-1906.09479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-non-tightness-of-the-reconstruction-threshold-of-a-4-states-symmetric-model-with-different-in-block-and-out-block-mutations-1906.09479"/></url>
<url><loc>https://scifaro.com/en/abs/a-neurally-plausible-model-learns-successor-representations-in-partially-observable-environments-1906.09480</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-neurally-plausible-model-learns-successor-representations-in-partially-observable-environments-1906.09480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-neurally-plausible-model-learns-successor-representations-in-partially-observable-environments-1906.09480"/></url>
<url><loc>https://scifaro.com/en/abs/learning-waveform-based-acoustic-models-using-deep-variational-convolutional-neural-networks-1906.09526</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-waveform-based-acoustic-models-using-deep-variational-convolutional-neural-networks-1906.09526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-waveform-based-acoustic-models-using-deep-variational-convolutional-neural-networks-1906.09526"/></url>
<url><loc>https://scifaro.com/en/abs/bias-correction-of-learned-generative-models-using-likelihood-free-importance-weighting-1906.09531</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bias-correction-of-learned-generative-models-using-likelihood-free-importance-weighting-1906.09531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bias-correction-of-learned-generative-models-using-likelihood-free-importance-weighting-1906.09531"/></url>
<url><loc>https://scifaro.com/en/abs/compositionally-warped-gaussian-processes-1906.09665</loc><lastmod>2019-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compositionally-warped-gaussian-processes-1906.09665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compositionally-warped-gaussian-processes-1906.09665"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-adversarial-service-times-1906.09808</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-adversarial-service-times-1906.09808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-adversarial-service-times-1906.09808"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-construction-implications-to-cybersecurity-1906.10019</loc><lastmod>2026-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-construction-implications-to-cybersecurity-1906.10019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-construction-implications-to-cybersecurity-1906.10019"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-cart-1906.10086</loc><lastmod>2020-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-cart-1906.10086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-cart-1906.10086"/></url>
<url><loc>https://scifaro.com/en/abs/density-based-clustering-with-best-scored-random-forest-1906.10094</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/density-based-clustering-with-best-scored-random-forest-1906.10094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/density-based-clustering-with-best-scored-random-forest-1906.10094"/></url>
<url><loc>https://scifaro.com/en/abs/certifiably-optimal-sparse-inverse-covariance-estimation-1906.10283</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certifiably-optimal-sparse-inverse-covariance-estimation-1906.10283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certifiably-optimal-sparse-inverse-covariance-estimation-1906.10283"/></url>
<url><loc>https://scifaro.com/en/abs/res-embedding-for-deep-learning-based-click-through-rate-prediction-modeling-1906.10304</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/res-embedding-for-deep-learning-based-click-through-rate-prediction-modeling-1906.10304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/res-embedding-for-deep-learning-based-click-through-rate-prediction-modeling-1906.10304"/></url>
<url><loc>https://scifaro.com/en/abs/from-non-paying-to-premium-predicting-user-conversion-in-video-games-with-ensemble-learning-1906.10320</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-non-paying-to-premium-predicting-user-conversion-in-video-games-with-ensemble-learning-1906.10320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-non-paying-to-premium-predicting-user-conversion-in-video-games-with-ensemble-learning-1906.10320"/></url>
<url><loc>https://scifaro.com/en/abs/non-asymptotic-pure-exploration-by-solving-games-1906.10431</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-asymptotic-pure-exploration-by-solving-games-1906.10431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-asymptotic-pure-exploration-by-solving-games-1906.10431"/></url>
<url><loc>https://scifaro.com/en/abs/restless-dependent-bandits-with-fading-memory-1906.10454</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/restless-dependent-bandits-with-fading-memory-1906.10454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/restless-dependent-bandits-with-fading-memory-1906.10454"/></url>
<url><loc>https://scifaro.com/en/abs/amf-aggregated-mondrian-forests-for-online-learning-1906.10529</loc><lastmod>2020-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amf-aggregated-mondrian-forests-for-online-learning-1906.10529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amf-aggregated-mondrian-forests-for-online-learning-1906.10529"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-properties-of-radial-kernels-and-clustering-in-high-dimensions-1906.10583</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-properties-of-radial-kernels-and-clustering-in-high-dimensions-1906.10583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-properties-of-radial-kernels-and-clustering-in-high-dimensions-1906.10583"/></url>
<url><loc>https://scifaro.com/en/abs/a-self-supervised-approach-to-hierarchical-forecasting-with-applications-to-groupwise-synthetic-controls-1906.10586</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-self-supervised-approach-to-hierarchical-forecasting-with-applications-to-groupwise-synthetic-controls-1906.10586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-self-supervised-approach-to-hierarchical-forecasting-with-applications-to-groupwise-synthetic-controls-1906.10586"/></url>
<url><loc>https://scifaro.com/en/abs/coding-for-crowdsourced-classification-with-xor-queries-1906.10637</loc><lastmod>2020-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coding-for-crowdsourced-classification-with-xor-queries-1906.10637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coding-for-crowdsourced-classification-with-xor-queries-1906.10637"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-gradient-estimation-in-machine-learning-1906.10652</loc><lastmod>2020-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-gradient-estimation-in-machine-learning-1906.10652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-gradient-estimation-in-machine-learning-1906.10652"/></url>
<url><loc>https://scifaro.com/en/abs/learning-fair-and-transferable-representations-1906.10673</loc><lastmod>2020-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-fair-and-transferable-representations-1906.10673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-fair-and-transferable-representations-1906.10673"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-high-dimensional-dynamical-processes-1906.10725</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-high-dimensional-dynamical-processes-1906.10725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-high-dimensional-dynamical-processes-1906.10725"/></url>
<url><loc>https://scifaro.com/en/abs/a-debiased-mdi-feature-importance-measure-for-random-forests-1906.10845</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-debiased-mdi-feature-importance-measure-for-random-forests-1906.10845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-debiased-mdi-feature-importance-measure-for-random-forests-1906.10845"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-piecewise-stationary-processes-1906.10921</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-piecewise-stationary-processes-1906.10921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-piecewise-stationary-processes-1906.10921"/></url>
<url><loc>https://scifaro.com/en/abs/modulating-surrogates-for-bayesian-optimization-1906.11152</loc><lastmod>2020-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modulating-surrogates-for-bayesian-optimization-1906.11152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modulating-surrogates-for-bayesian-optimization-1906.11152"/></url>
<url><loc>https://scifaro.com/en/abs/benign-overfitting-in-linear-regression-1906.11300</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benign-overfitting-in-linear-regression-1906.11300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benign-overfitting-in-linear-regression-1906.11300"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-data-reduction-and-learning-1906.11426</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-data-reduction-and-learning-1906.11426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-data-reduction-and-learning-1906.11426"/></url>
<url><loc>https://scifaro.com/en/abs/deep-active-learning-with-adaptive-acquisition-1906.11471</loc><lastmod>2019-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-active-learning-with-adaptive-acquisition-1906.11471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-active-learning-with-adaptive-acquisition-1906.11471"/></url>
<url><loc>https://scifaro.com/en/abs/in-between-uncertainty-in-bayesian-neural-networks-1906.11537</loc><lastmod>2019-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/in-between-uncertainty-in-bayesian-neural-networks-1906.11537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/in-between-uncertainty-in-bayesian-neural-networks-1906.11537"/></url>
<url><loc>https://scifaro.com/en/abs/a-global-approach-for-learning-sparse-ising-models-1906.11641</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-global-approach-for-learning-sparse-ising-models-1906.11641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-global-approach-for-learning-sparse-ising-models-1906.11641"/></url>
<url><loc>https://scifaro.com/en/abs/tuning-free-disentanglement-via-projection-1906.11732</loc><lastmod>2019-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tuning-free-disentanglement-via-projection-1906.11732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tuning-free-disentanglement-via-projection-1906.11732"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-optimal-transport-for-multimodal-distribution-alignment-1906.11768</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-optimal-transport-for-multimodal-distribution-alignment-1906.11768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-optimal-transport-for-multimodal-distribution-alignment-1906.11768"/></url>
<url><loc>https://scifaro.com/en/abs/fast-training-of-sparse-graph-neural-networks-on-dense-hardware-1906.11786</loc><lastmod>2019-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-training-of-sparse-graph-neural-networks-on-dense-hardware-1906.11786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-training-of-sparse-graph-neural-networks-on-dense-hardware-1906.11786"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-semi-parametric-model-learning-algorithms-for-dynamic-model-estimation-in-robotics-1906.11909</loc><lastmod>2019-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-semi-parametric-model-learning-algorithms-for-dynamic-model-estimation-in-robotics-1906.11909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-semi-parametric-model-learning-algorithms-for-dynamic-model-estimation-in-robotics-1906.11909"/></url>
<url><loc>https://scifaro.com/en/abs/bias-variance-trade-off-in-hierarchical-probabilistic-models-using-higher-order-feature-interactions-1906.12063</loc><lastmod>2019-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bias-variance-trade-off-in-hierarchical-probabilistic-models-using-higher-order-feature-interactions-1906.12063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bias-variance-trade-off-in-hierarchical-probabilistic-models-using-higher-order-feature-interactions-1906.12063"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-lasso-with-windowed-active-set-for-convolutional-spike-sorting-1906.12077</loc><lastmod>2019-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-lasso-with-windowed-active-set-for-convolutional-spike-sorting-1906.12077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-lasso-with-windowed-active-set-for-convolutional-spike-sorting-1906.12077"/></url>
<url><loc>https://scifaro.com/en/abs/causal-regularization-1906.12179</loc><lastmod>2019-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-regularization-1906.12179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-regularization-1906.12179"/></url>
<url><loc>https://scifaro.com/en/abs/neural-odes-as-the-deep-limit-of-resnets-with-constant-weights-1906.12183</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-odes-as-the-deep-limit-of-resnets-with-constant-weights-1906.12183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-odes-as-the-deep-limit-of-resnets-with-constant-weights-1906.12183"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-learning-from-biased-training-samples-1906.12304</loc><lastmod>2022-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-learning-from-biased-training-samples-1906.12304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-learning-from-biased-training-samples-1906.12304"/></url>
<url><loc>https://scifaro.com/en/abs/training-individually-fair-ml-models-with-sensitive-subspace-robustness-1907.00020</loc><lastmod>2020-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-individually-fair-ml-models-with-sensitive-subspace-robustness-1907.00020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-individually-fair-ml-models-with-sensitive-subspace-robustness-1907.00020"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-study-of-the-benefits-of-overparameterization-in-learning-latent-variable-models-1907.00030</loc><lastmod>2020-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-study-of-the-benefits-of-overparameterization-in-learning-latent-variable-models-1907.00030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-study-of-the-benefits-of-overparameterization-in-learning-latent-variable-models-1907.00030"/></url>
<url><loc>https://scifaro.com/en/abs/cross-product-penalized-component-analysis-xcan-1907.00032</loc><lastmod>2020-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-product-penalized-component-analysis-xcan-1907.00032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-product-penalized-component-analysis-xcan-1907.00032"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-nonparametric-boolean-factor-models-1907.00063</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-nonparametric-boolean-factor-models-1907.00063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-nonparametric-boolean-factor-models-1907.00063"/></url>
<url><loc>https://scifaro.com/en/abs/identification-in-missing-data-models-represented-by-directed-acyclic-graphs-1907.00241</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identification-in-missing-data-models-represented-by-directed-acyclic-graphs-1907.00241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identification-in-missing-data-models-represented-by-directed-acyclic-graphs-1907.00241"/></url>
<url><loc>https://scifaro.com/en/abs/a-kernel-stein-test-for-comparing-latent-variable-models-1907.00586</loc><lastmod>2023-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-kernel-stein-test-for-comparing-latent-variable-models-1907.00586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-kernel-stein-test-for-comparing-latent-variable-models-1907.00586"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-regular-variation-1907.00686</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-regular-variation-1907.00686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-regular-variation-1907.00686"/></url>
<url><loc>https://scifaro.com/en/abs/time-to-event-prediction-with-neural-networks-and-cox-regression-1907.00825</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-to-event-prediction-with-neural-networks-and-cox-regression-1907.00825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-to-event-prediction-with-neural-networks-and-cox-regression-1907.00825"/></url>
<url><loc>https://scifaro.com/en/abs/radial-bayesian-neural-networks-beyond-discrete-support-in-large-scale-bayesian-deep-learning-1907.00865</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/radial-bayesian-neural-networks-beyond-discrete-support-in-large-scale-bayesian-deep-learning-1907.00865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/radial-bayesian-neural-networks-beyond-discrete-support-in-large-scale-bayesian-deep-learning-1907.00865"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-approach-to-robust-mean-estimation-1907.00927</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-approach-to-robust-mean-estimation-1907.00927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-approach-to-robust-mean-estimation-1907.00927"/></url>
<url><loc>https://scifaro.com/en/abs/accurate-reliable-and-fast-robustness-evaluation-1907.01003</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accurate-reliable-and-fast-robustness-evaluation-1907.01003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accurate-reliable-and-fast-robustness-evaluation-1907.01003"/></url>
<url><loc>https://scifaro.com/en/abs/augmenting-and-tuning-knowledge-graph-embeddings-1907.01068</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmenting-and-tuning-knowledge-graph-embeddings-1907.01068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmenting-and-tuning-knowledge-graph-embeddings-1907.01068"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-high-dimensional-dynamics-exploiting-suboptimal-embeddings-1907.01552</loc><lastmod>2019-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-high-dimensional-dynamics-exploiting-suboptimal-embeddings-1907.01552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-high-dimensional-dynamics-exploiting-suboptimal-embeddings-1907.01552"/></url>
<url><loc>https://scifaro.com/en/abs/sensitivity-of-quantum-pagerank-1907.01641</loc><lastmod>2019-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sensitivity-of-quantum-pagerank-1907.01641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sensitivity-of-quantum-pagerank-1907.01641"/></url>
<url><loc>https://scifaro.com/en/abs/selecting-the-independent-coordinates-of-manifolds-with-large-aspect-ratios-1907.01651</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selecting-the-independent-coordinates-of-manifolds-with-large-aspect-ratios-1907.01651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selecting-the-independent-coordinates-of-manifolds-with-large-aspect-ratios-1907.01651"/></url>
<url><loc>https://scifaro.com/en/abs/a-flexible-em-like-clustering-algorithm-for-noisy-data-1907.01660</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-flexible-em-like-clustering-algorithm-for-noisy-data-1907.01660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-flexible-em-like-clustering-algorithm-for-noisy-data-1907.01660"/></url>
<url><loc>https://scifaro.com/en/abs/towards-interpretable-deep-extreme-multi-label-learning-1907.01723</loc><lastmod>2019-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-interpretable-deep-extreme-multi-label-learning-1907.01723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-interpretable-deep-extreme-multi-label-learning-1907.01723"/></url>
<url><loc>https://scifaro.com/en/abs/implementation-of-batched-sinkhorn-iterations-for-entropy-regularized-wasserstein-loss-1907.01729</loc><lastmod>2019-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implementation-of-batched-sinkhorn-iterations-for-entropy-regularized-wasserstein-loss-1907.01729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implementation-of-batched-sinkhorn-iterations-for-entropy-regularized-wasserstein-loss-1907.01729"/></url>
<url><loc>https://scifaro.com/en/abs/learning-gplvm-with-arbitrary-kernels-using-the-unscented-transformation-1907.01867</loc><lastmod>2020-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-gplvm-with-arbitrary-kernels-using-the-unscented-transformation-1907.01867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-gplvm-with-arbitrary-kernels-using-the-unscented-transformation-1907.01867"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-overlap-and-a-comparison-of-parameter-free-dimensionality-reduction-quality-metrics-1907.01974</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-overlap-and-a-comparison-of-parameter-free-dimensionality-reduction-quality-metrics-1907.01974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-overlap-and-a-comparison-of-parameter-free-dimensionality-reduction-quality-metrics-1907.01974"/></url>
<url><loc>https://scifaro.com/en/abs/a-quantum-field-theory-of-representation-learning-1907.02163</loc><lastmod>2019-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-quantum-field-theory-of-representation-learning-1907.02163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-quantum-field-theory-of-representation-learning-1907.02163"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-approximation-and-generalization-of-deep-neural-network-with-intrinsic-dimensionality-1907.02177</loc><lastmod>2020-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-approximation-and-generalization-of-deep-neural-network-with-intrinsic-dimensionality-1907.02177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-approximation-and-generalization-of-deep-neural-network-with-intrinsic-dimensionality-1907.02177"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-fedavg-on-non-iid-data-1907.02189</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-fedavg-on-non-iid-data-1907.02189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-fedavg-on-non-iid-data-1907.02189"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-hypersurfaces-and-radon-transforms-1907.02220</loc><lastmod>2019-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-hypersurfaces-and-radon-transforms-1907.02220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-hypersurfaces-and-radon-transforms-1907.02220"/></url>
<url><loc>https://scifaro.com/en/abs/subsampling-bias-and-the-best-discrepancy-systematic-cross-validation-1907.02437</loc><lastmod>2019-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subsampling-bias-and-the-best-discrepancy-systematic-cross-validation-1907.02437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subsampling-bias-and-the-best-discrepancy-systematic-cross-validation-1907.02437"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-gaussian-graphical-model-for-network-linked-data-1907.02443</loc><lastmod>2020-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-gaussian-graphical-model-for-network-linked-data-1907.02443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-gaussian-graphical-model-for-network-linked-data-1907.02443"/></url>
<url><loc>https://scifaro.com/en/abs/learning-latent-dynamics-for-partially-observed-chaotic-systems-1907.02452</loc><lastmod>2020-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-latent-dynamics-for-partially-observed-chaotic-systems-1907.02452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-latent-dynamics-for-partially-observed-chaotic-systems-1907.02452"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-enhanced-physics-informed-neural-network-for-phase-field-modeling-of-fracture-1907.02531</loc><lastmod>2019-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-enhanced-physics-informed-neural-network-for-phase-field-modeling-of-fracture-1907.02531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-enhanced-physics-informed-neural-network-for-phase-field-modeling-of-fracture-1907.02531"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-exploration-of-dying-arms-in-mortal-bandits-1907.02571</loc><lastmod>2019-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-exploration-of-dying-arms-in-mortal-bandits-1907.02571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-exploration-of-dying-arms-in-mortal-bandits-1907.02571"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-robustness-through-local-linearization-1907.02610</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-robustness-through-local-linearization-1907.02610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-robustness-through-local-linearization-1907.02610"/></url>
<url><loc>https://scifaro.com/en/abs/geodesic-learning-via-unsupervised-decision-forests-1907.02844</loc><lastmod>2019-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geodesic-learning-via-unsupervised-decision-forests-1907.02844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geodesic-learning-via-unsupervised-decision-forests-1907.02844"/></url>
<url><loc>https://scifaro.com/en/abs/invariant-risk-minimization-1907.02893</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invariant-risk-minimization-1907.02893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invariant-risk-minimization-1907.02893"/></url>
<url><loc>https://scifaro.com/en/abs/hybridized-threshold-clustering-for-massive-data-1907.02907</loc><lastmod>2019-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybridized-threshold-clustering-for-massive-data-1907.02907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybridized-threshold-clustering-for-massive-data-1907.02907"/></url>
<url><loc>https://scifaro.com/en/abs/learning-in-volatile-environments-with-the-bayes-factor-surprise-1907.02936</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-in-volatile-environments-with-the-bayes-factor-surprise-1907.02936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-in-volatile-environments-with-the-bayes-factor-surprise-1907.02936"/></url>
<url><loc>https://scifaro.com/en/abs/xgboostlss-an-extension-of-xgboost-to-probabilistic-forecasting-1907.03178</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/xgboostlss-an-extension-of-xgboost-to-probabilistic-forecasting-1907.03178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/xgboostlss-an-extension-of-xgboost-to-probabilistic-forecasting-1907.03178"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-estimators-for-random-design-regression-1907.03411</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-estimators-for-random-design-regression-1907.03411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-estimators-for-random-design-regression-1907.03411"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-analysis-of-nearest-neighbor-methods-for-anomaly-detection-1907.03813</loc><lastmod>2019-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-analysis-of-nearest-neighbor-methods-for-anomaly-detection-1907.03813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-analysis-of-nearest-neighbor-methods-for-anomaly-detection-1907.03813"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-player-engagement-and-in-game-purchasing-behavior-with-ensemble-learning-1907.03947</loc><lastmod>2020-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-player-engagement-and-in-game-purchasing-behavior-with-ensemble-learning-1907.03947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-player-engagement-and-in-game-purchasing-behavior-with-ensemble-learning-1907.03947"/></url>
<url><loc>https://scifaro.com/en/abs/all-sparse-pca-models-are-wrong-but-some-are-useful-part-i-computation-of-scores-residuals-and-explained-variance-1907.03989</loc><lastmod>2020-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/all-sparse-pca-models-are-wrong-but-some-are-useful-part-i-computation-of-scores-residuals-and-explained-variance-1907.03989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/all-sparse-pca-models-are-wrong-but-some-are-useful-part-i-computation-of-scores-residuals-and-explained-variance-1907.03989"/></url>
<url><loc>https://scifaro.com/en/abs/k-gans-ensemble-of-generative-models-with-semi-discrete-optimal-transport-1907.04050</loc><lastmod>2019-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-gans-ensemble-of-generative-models-with-semi-discrete-optimal-transport-1907.04050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-gans-ensemble-of-generative-models-with-semi-discrete-optimal-transport-1907.04050"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-independence-testing-using-generative-adversarial-networks-1907.04068</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-independence-testing-using-generative-adversarial-networks-1907.04068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-independence-testing-using-generative-adversarial-networks-1907.04068"/></url>
<url><loc>https://scifaro.com/en/abs/gp-vae-deep-probabilistic-time-series-imputation-1907.04155</loc><lastmod>2020-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gp-vae-deep-probabilistic-time-series-imputation-1907.04155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gp-vae-deep-probabilistic-time-series-imputation-1907.04155"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-inter-layer-functional-mappings-of-deep-learning-models-1907.04223</loc><lastmod>2019-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-inter-layer-functional-mappings-of-deep-learning-models-1907.04223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-inter-layer-functional-mappings-of-deep-learning-models-1907.04223"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-deep-learning-with-hierarchical-prior-predictions-from-limited-and-noisy-data-1907.04240</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-deep-learning-with-hierarchical-prior-predictions-from-limited-and-noisy-data-1907.04240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-deep-learning-with-hierarchical-prior-predictions-from-limited-and-noisy-data-1907.04240"/></url>
<url><loc>https://scifaro.com/en/abs/ordered-sgd-a-new-stochastic-optimization-framework-for-empirical-risk-minimization-1907.04371</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ordered-sgd-a-new-stochastic-optimization-framework-for-empirical-risk-minimization-1907.04371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ordered-sgd-a-new-stochastic-optimization-framework-for-empirical-risk-minimization-1907.04371"/></url>
<url><loc>https://scifaro.com/en/abs/two-block-vs-multi-block-admm-an-empirical-evaluation-of-convergence-1907.04524</loc><lastmod>2019-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-block-vs-multi-block-admm-an-empirical-evaluation-of-convergence-1907.04524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-block-vs-multi-block-admm-an-empirical-evaluation-of-convergence-1907.04524"/></url>
<url><loc>https://scifaro.com/en/abs/variational-autoencoders-and-nonlinear-ica-a-unifying-framework-1907.04809</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-autoencoders-and-nonlinear-ica-a-unifying-framework-1907.04809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-autoencoders-and-nonlinear-ica-a-unifying-framework-1907.04809"/></url>
<url><loc>https://scifaro.com/en/abs/gain-with-no-pain-efficient-kernel-pca-by-nystr-om-sampling-1907.05226</loc><lastmod>2019-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gain-with-no-pain-efficient-kernel-pca-by-nystr-om-sampling-1907.05226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gain-with-no-pain-efficient-kernel-pca-by-nystr-om-sampling-1907.05226"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-matrix-completion-and-denoising-under-poisson-noise-1907.05325</loc><lastmod>2024-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-matrix-completion-and-denoising-under-poisson-noise-1907.05325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-matrix-completion-and-denoising-under-poisson-noise-1907.05325"/></url>
<url><loc>https://scifaro.com/en/abs/change-point-detection-for-graphical-models-in-the-presence-of-missing-values-1907.05409</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/change-point-detection-for-graphical-models-in-the-presence-of-missing-values-1907.05409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/change-point-detection-for-graphical-models-in-the-presence-of-missing-values-1907.05409"/></url>
<url><loc>https://scifaro.com/en/abs/dual-extrapolation-for-sparse-generalized-linear-models-1907.05830</loc><lastmod>2022-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-extrapolation-for-sparse-generalized-linear-models-1907.05830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-extrapolation-for-sparse-generalized-linear-models-1907.05830"/></url>
<url><loc>https://scifaro.com/en/abs/k-hop-graph-neural-networks-1907.06051</loc><lastmod>2020-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-hop-graph-neural-networks-1907.06051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-hop-graph-neural-networks-1907.06051"/></url>
<url><loc>https://scifaro.com/en/abs/the-use-of-gaussian-processes-in-system-identification-1907.06066</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-use-of-gaussian-processes-in-system-identification-1907.06066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-use-of-gaussian-processes-in-system-identification-1907.06066"/></url>
<url><loc>https://scifaro.com/en/abs/a-causal-bayesian-networks-viewpoint-on-fairness-1907.06430</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-causal-bayesian-networks-viewpoint-on-fairness-1907.06430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-causal-bayesian-networks-viewpoint-on-fairness-1907.06430"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-fault-detection-in-varying-operating-conditions-1907.06481</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-fault-detection-in-varying-operating-conditions-1907.06481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-fault-detection-in-varying-operating-conditions-1907.06481"/></url>
<url><loc>https://scifaro.com/en/abs/a-dimension-free-algorithm-for-contextual-continuum-armed-bandits-1907.06550</loc><lastmod>2022-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dimension-free-algorithm-for-contextual-continuum-armed-bandits-1907.06550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dimension-free-algorithm-for-contextual-continuum-armed-bandits-1907.06550"/></url>
<url><loc>https://scifaro.com/en/abs/addressing-delayed-feedback-for-continuous-training-with-neural-networks-in-ctr-prediction-1907.06558</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/addressing-delayed-feedback-for-continuous-training-with-neural-networks-in-ctr-prediction-1907.06558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/addressing-delayed-feedback-for-continuous-training-with-neural-networks-in-ctr-prediction-1907.06558"/></url>
<url><loc>https://scifaro.com/en/abs/the-continuous-bernoulli-fixing-a-pervasive-error-in-variational-autoencoders-1907.06845</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-continuous-bernoulli-fixing-a-pervasive-error-in-variational-autoencoders-1907.06845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-continuous-bernoulli-fixing-a-pervasive-error-in-variational-autoencoders-1907.06845"/></url>
<url><loc>https://scifaro.com/en/abs/a-two-stage-approach-to-multivariate-linear-regression-with-sparsely-mismatched-data-1907.07148</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-two-stage-approach-to-multivariate-linear-regression-with-sparsely-mismatched-data-1907.07148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-two-stage-approach-to-multivariate-linear-regression-with-sparsely-mismatched-data-1907.07148"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-analysis-and-statistical-estimation-of-slope-via-approximate-message-passing-1907.07502</loc><lastmod>2019-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-analysis-and-statistical-estimation-of-slope-via-approximate-message-passing-1907.07502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-analysis-and-statistical-estimation-of-slope-via-approximate-message-passing-1907.07502"/></url>
<url><loc>https://scifaro.com/en/abs/output-weighted-optimal-sampling-for-bayesian-regression-and-rare-event-statistics-using-few-samples-1907.07552</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/output-weighted-optimal-sampling-for-bayesian-regression-and-rare-event-statistics-using-few-samples-1907.07552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/output-weighted-optimal-sampling-for-bayesian-regression-and-rare-event-statistics-using-few-samples-1907.07552"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-activity-travel-behavior-time-series-using-topological-data-analysis-1907.07603</loc><lastmod>2019-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-activity-travel-behavior-time-series-using-topological-data-analysis-1907.07603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-activity-travel-behavior-time-series-using-topological-data-analysis-1907.07603"/></url>
<url><loc>https://scifaro.com/en/abs/subtsbr-to-tackle-high-noise-and-outliers-for-data-driven-discovery-of-differential-equations-1907.07788</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subtsbr-to-tackle-high-noise-and-outliers-for-data-driven-discovery-of-differential-equations-1907.07788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subtsbr-to-tackle-high-noise-and-outliers-for-data-driven-discovery-of-differential-equations-1907.07788"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-approach-for-anomaly-detector-selection-and-fine-tuning-in-time-series-1907.07843</loc><lastmod>2019-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-approach-for-anomaly-detector-selection-and-fine-tuning-in-time-series-1907.07843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-approach-for-anomaly-detector-selection-and-fine-tuning-in-time-series-1907.07843"/></url>
<url><loc>https://scifaro.com/en/abs/optimalflow-optimal-transport-approach-to-flow-cytometry-gating-and-population-matching-1907.08006</loc><lastmod>2020-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimalflow-optimal-transport-approach-to-flow-cytometry-gating-and-population-matching-1907.08006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimalflow-optimal-transport-approach-to-flow-cytometry-gating-and-population-matching-1907.08006"/></url>
<url><loc>https://scifaro.com/en/abs/amortized-monte-carlo-integration-1907.08082</loc><lastmod>2019-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amortized-monte-carlo-integration-1907.08082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amortized-monte-carlo-integration-1907.08082"/></url>
<url><loc>https://scifaro.com/en/abs/least-angle-regression-in-tangent-space-and-lasso-for-generalized-linear-models-1907.08100</loc><lastmod>2020-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/least-angle-regression-in-tangent-space-and-lasso-for-generalized-linear-models-1907.08100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/least-angle-regression-in-tangent-space-and-lasso-for-generalized-linear-models-1907.08100"/></url>
<url><loc>https://scifaro.com/en/abs/a-discriminative-approach-for-finding-and-characterizing-positivity-violations-using-decision-trees-1907.08127</loc><lastmod>2019-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-discriminative-approach-for-finding-and-characterizing-positivity-violations-using-decision-trees-1907.08127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-discriminative-approach-for-finding-and-characterizing-positivity-violations-using-decision-trees-1907.08127"/></url>
<url><loc>https://scifaro.com/en/abs/spatially-aggregated-gaussian-processes-with-multivariate-areal-outputs-1907.08350</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatially-aggregated-gaussian-processes-with-multivariate-areal-outputs-1907.08350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatially-aggregated-gaussian-processes-with-multivariate-areal-outputs-1907.08350"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-rates-of-convergence-for-kernel-based-sampling-algorithms-1907.08410</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-rates-of-convergence-for-kernel-based-sampling-algorithms-1907.08410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-rates-of-convergence-for-kernel-based-sampling-algorithms-1907.08410"/></url>
<url><loc>https://scifaro.com/en/abs/learning-multimorbidity-patterns-from-electronic-health-records-using-non-negative-matrix-factorisation-1907.08577</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-multimorbidity-patterns-from-electronic-health-records-using-non-negative-matrix-factorisation-1907.08577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-multimorbidity-patterns-from-electronic-health-records-using-non-negative-matrix-factorisation-1907.08577"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-mode-decomposition-and-programmable-interpretable-regression-networks-1907.08592</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-mode-decomposition-and-programmable-interpretable-regression-networks-1907.08592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-mode-decomposition-and-programmable-interpretable-regression-networks-1907.08592"/></url>
<url><loc>https://scifaro.com/en/abs/surfing-iterative-optimization-over-incrementally-trained-deep-networks-1907.08653</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surfing-iterative-optimization-over-incrementally-trained-deep-networks-1907.08653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surfing-iterative-optimization-over-incrementally-trained-deep-networks-1907.08653"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-graph-matching-and-regularized-quadratic-relaxations-i-the-gaussian-model-1907.08880</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-graph-matching-and-regularized-quadratic-relaxations-i-the-gaussian-model-1907.08880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-graph-matching-and-regularized-quadratic-relaxations-i-the-gaussian-model-1907.08880"/></url>
<url><loc>https://scifaro.com/en/abs/noise-regularization-for-conditional-density-estimation-1907.08982</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-regularization-for-conditional-density-estimation-1907.08982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-regularization-for-conditional-density-estimation-1907.08982"/></url>
<url><loc>https://scifaro.com/en/abs/conscientious-classification-a-data-scientist-s-guide-to-discrimination-aware-classification-1907.09013</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conscientious-classification-a-data-scientist-s-guide-to-discrimination-aware-classification-1907.09013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conscientious-classification-a-data-scientist-s-guide-to-discrimination-aware-classification-1907.09013"/></url>
<url><loc>https://scifaro.com/en/abs/some-new-results-for-poisson-binomial-models-1907.09053</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/some-new-results-for-poisson-binomial-models-1907.09053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/some-new-results-for-poisson-binomial-models-1907.09053"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-experimental-design-by-incorporating-experimenter-hunches-1907.09065</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-experimental-design-by-incorporating-experimenter-hunches-1907.09065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-experimental-design-by-incorporating-experimenter-hunches-1907.09065"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adaptation-for-one-class-classification-monitoring-the-health-of-critical-systems-under-limited-information-1907.09204</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adaptation-for-one-class-classification-monitoring-the-health-of-critical-systems-under-limited-information-1907.09204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adaptation-for-one-class-classification-monitoring-the-health-of-critical-systems-under-limited-information-1907.09204"/></url>
<url><loc>https://scifaro.com/en/abs/direction-matters-on-influence-preserving-graph-summarization-and-max-cut-principle-for-directed-graphs-1907.09588</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/direction-matters-on-influence-preserving-graph-summarization-and-max-cut-principle-for-directed-graphs-1907.09588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/direction-matters-on-influence-preserving-graph-summarization-and-max-cut-principle-for-directed-graphs-1907.09588"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-learning-for-multiple-loggers-1907.09652</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-learning-for-multiple-loggers-1907.09652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-learning-for-multiple-loggers-1907.09652"/></url>
<url><loc>https://scifaro.com/en/abs/node-attribute-generation-on-graphs-1907.09708</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/node-attribute-generation-on-graphs-1907.09708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/node-attribute-generation-on-graphs-1907.09708"/></url>
<url><loc>https://scifaro.com/en/abs/varenn-graphical-representation-of-spatiotemporal-data-and-application-to-climate-studies-1907.09725</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/varenn-graphical-representation-of-spatiotemporal-data-and-application-to-climate-studies-1907.09725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/varenn-graphical-representation-of-spatiotemporal-data-and-application-to-climate-studies-1907.09725"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-with-generative-adversarial-network-priors-1907.09987</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-with-generative-adversarial-network-priors-1907.09987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-with-generative-adversarial-network-priors-1907.09987"/></url>
<url><loc>https://scifaro.com/en/abs/mix-and-match-an-optimistic-tree-search-approach-for-learning-models-from-mixture-distributions-1907.10154</loc><lastmod>2020-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mix-and-match-an-optimistic-tree-search-approach-for-learning-models-from-mixture-distributions-1907.10154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mix-and-match-an-optimistic-tree-search-approach-for-learning-models-from-mixture-distributions-1907.10154"/></url>
<url><loc>https://scifaro.com/en/abs/quantum-compressed-sensing-with-unsupervised-tensor-network-machine-learning-1907.10290</loc><lastmod>2020-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantum-compressed-sensing-with-unsupervised-tensor-network-machine-learning-1907.10290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantum-compressed-sensing-with-unsupervised-tensor-network-machine-learning-1907.10290"/></url>
<url><loc>https://scifaro.com/en/abs/on-importance-weighted-autoencoders-1907.10477</loc><lastmod>2019-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-importance-weighted-autoencoders-1907.10477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-importance-weighted-autoencoders-1907.10477"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generative-quantile-copula-models-for-probabilistic-forecasting-1907.10697</loc><lastmod>2019-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generative-quantile-copula-models-for-probabilistic-forecasting-1907.10697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generative-quantile-copula-models-for-probabilistic-forecasting-1907.10697"/></url>
<url><loc>https://scifaro.com/en/abs/fast-generalization-error-bound-of-deep-learning-without-scale-invariance-of-activation-functions-1907.10900</loc><lastmod>2019-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-generalization-error-bound-of-deep-learning-without-scale-invariance-of-activation-functions-1907.10900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-generalization-error-bound-of-deep-learning-without-scale-invariance-of-activation-functions-1907.10900"/></url>
<url><loc>https://scifaro.com/en/abs/a-group-theoretic-framework-for-data-augmentation-1907.10905</loc><lastmod>2020-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-group-theoretic-framework-for-data-augmentation-1907.10905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-group-theoretic-framework-for-data-augmentation-1907.10905"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-accuracy-of-principal-component-analysis-by-the-maximum-entropy-method-1907.11094</loc><lastmod>2019-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-accuracy-of-principal-component-analysis-by-the-maximum-entropy-method-1907.11094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-accuracy-of-principal-component-analysis-by-the-maximum-entropy-method-1907.11094"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-models-to-predict-pediatric-asthma-emergency-department-visits-1907.11195</loc><lastmod>2019-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-models-to-predict-pediatric-asthma-emergency-department-visits-1907.11195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-models-to-predict-pediatric-asthma-emergency-department-visits-1907.11195"/></url>
<url><loc>https://scifaro.com/en/abs/domain-generalization-via-multidomain-discriminant-analysis-1907.11216</loc><lastmod>2019-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-generalization-via-multidomain-discriminant-analysis-1907.11216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-generalization-via-multidomain-discriminant-analysis-1907.11216"/></url>
<url><loc>https://scifaro.com/en/abs/towards-scalable-gaussian-process-modeling-1907.11313</loc><lastmod>2019-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-scalable-gaussian-process-modeling-1907.11313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-scalable-gaussian-process-modeling-1907.11313"/></url>
<url><loc>https://scifaro.com/en/abs/expressive-graph-informer-networks-1907.11318</loc><lastmod>2020-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expressive-graph-informer-networks-1907.11318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expressive-graph-informer-networks-1907.11318"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-robust-lasso-bandit-1907.11362</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-robust-lasso-bandit-1907.11362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-robust-lasso-bandit-1907.11362"/></url>
<url><loc>https://scifaro.com/en/abs/a-close-up-comparison-of-the-misclassification-error-distance-and-the-adjusted-rand-index-for-external-clustering-evaluation-1907.11505</loc><lastmod>2019-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-close-up-comparison-of-the-misclassification-error-distance-and-the-adjusted-rand-index-for-external-clustering-evaluation-1907.11505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-close-up-comparison-of-the-misclassification-error-distance-and-the-adjusted-rand-index-for-external-clustering-evaluation-1907.11505"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-learning-of-active-subspaces-1907.11572</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-learning-of-active-subspaces-1907.11572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-learning-of-active-subspaces-1907.11572"/></url>
<url><loc>https://scifaro.com/en/abs/a-strategy-for-adaptive-sampling-of-multi-fidelity-gaussian-process-to-reduce-predictive-uncertainty-1907.11739</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-strategy-for-adaptive-sampling-of-multi-fidelity-gaussian-process-to-reduce-predictive-uncertainty-1907.11739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-strategy-for-adaptive-sampling-of-multi-fidelity-gaussian-process-to-reduce-predictive-uncertainty-1907.11739"/></url>
<url><loc>https://scifaro.com/en/abs/bias-of-homotopic-gradient-descent-for-the-hinge-loss-1907.11746</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bias-of-homotopic-gradient-descent-for-the-hinge-loss-1907.11746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bias-of-homotopic-gradient-descent-for-the-hinge-loss-1907.11746"/></url>
<url><loc>https://scifaro.com/en/abs/memory-and-communication-aware-model-compression-for-distributed-deep-learning-inference-on-iot-1907.11804</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-and-communication-aware-model-compression-for-distributed-deep-learning-inference-on-iot-1907.11804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-and-communication-aware-model-compression-for-distributed-deep-learning-inference-on-iot-1907.11804"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-robustness-a-nonasymptotic-viewpoint-1907.11826</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-robustness-a-nonasymptotic-viewpoint-1907.11826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-robustness-a-nonasymptotic-viewpoint-1907.11826"/></url>
<url><loc>https://scifaro.com/en/abs/variational-f-divergence-minimization-1907.11891</loc><lastmod>2024-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-f-divergence-minimization-1907.11891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-f-divergence-minimization-1907.11891"/></url>
<url><loc>https://scifaro.com/en/abs/multi-rank-sparse-and-functional-pca-manifold-optimization-and-iterative-deflation-techniques-1907.12012</loc><lastmod>2020-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-rank-sparse-and-functional-pca-manifold-optimization-and-iterative-deflation-techniques-1907.12012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-rank-sparse-and-functional-pca-manifold-optimization-and-iterative-deflation-techniques-1907.12012"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-fair-classification-1907.12059</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-fair-classification-1907.12059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-fair-classification-1907.12059"/></url>
<url><loc>https://scifaro.com/en/abs/lassonet-a-neural-network-with-feature-sparsity-1907.12207</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lassonet-a-neural-network-with-feature-sparsity-1907.12207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lassonet-a-neural-network-with-feature-sparsity-1907.12207"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-assessment-implications-to-cybersecurity-1907.12851</loc><lastmod>2022-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-assessment-implications-to-cybersecurity-1907.12851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-assessment-implications-to-cybersecurity-1907.12851"/></url>
<url><loc>https://scifaro.com/en/abs/climate-driven-statistical-models-as-effective-predictors-of-local-dengue-incidence-in-costa-rica-a-generalized-additive-model-and-random-forest-approach-1907.13095</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/climate-driven-statistical-models-as-effective-predictors-of-local-dengue-incidence-in-costa-rica-a-generalized-additive-model-and-random-forest-approach-1907.13095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/climate-driven-statistical-models-as-effective-predictors-of-local-dengue-incidence-in-costa-rica-a-generalized-additive-model-and-random-forest-approach-1907.13095"/></url>
<url><loc>https://scifaro.com/en/abs/learning-over-inherently-distributed-data-1907.13208</loc><lastmod>2019-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-over-inherently-distributed-data-1907.13208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-over-inherently-distributed-data-1907.13208"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-smoothness-of-cross-validation-based-estimators-of-classifier-performance-1907.13413</loc><lastmod>2022-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-smoothness-of-cross-validation-based-estimators-of-classifier-performance-1907.13413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-smoothness-of-cross-validation-based-estimators-of-classifier-performance-1907.13413"/></url>
<url><loc>https://scifaro.com/en/abs/multi-point-bandit-algorithms-for-nonstationary-online-nonconvex-optimization-1907.13616</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-point-bandit-algorithms-for-nonstationary-online-nonconvex-optimization-1907.13616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-point-bandit-algorithms-for-nonstationary-online-nonconvex-optimization-1907.13616"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-independence-testing-a-predictive-perspective-1908.00105</loc><lastmod>2019-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-independence-testing-a-predictive-perspective-1908.00105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-independence-testing-a-predictive-perspective-1908.00105"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-the-standard-error-of-cross-validation-based-estimators-of-classifier-performance-1908.00325</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-the-standard-error-of-cross-validation-based-estimators-of-classifier-performance-1908.00325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-the-standard-error-of-cross-validation-based-estimators-of-classifier-performance-1908.00325"/></url>
<url><loc>https://scifaro.com/en/abs/no-past-bo-normalized-portfolio-allocation-strategy-for-bayesian-optimization-1908.00361</loc><lastmod>2019-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-past-bo-normalized-portfolio-allocation-strategy-for-bayesian-optimization-1908.00361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-past-bo-normalized-portfolio-allocation-strategy-for-bayesian-optimization-1908.00361"/></url>
<url><loc>https://scifaro.com/en/abs/deep-relu-network-approximation-of-functions-on-a-manifold-1908.00695</loc><lastmod>2019-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-relu-network-approximation-of-functions-on-a-manifold-1908.00695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-relu-network-approximation-of-functions-on-a-manifold-1908.00695"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-linear-and-nonlinear-interaction-networks-using-neighborhood-support-vector-machines-1908.00762</loc><lastmod>2019-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-linear-and-nonlinear-interaction-networks-using-neighborhood-support-vector-machines-1908.00762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-linear-and-nonlinear-interaction-networks-using-neighborhood-support-vector-machines-1908.00762"/></url>
<url><loc>https://scifaro.com/en/abs/differential-privacy-for-sparse-classification-learning-1908.00780</loc><lastmod>2019-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differential-privacy-for-sparse-classification-learning-1908.00780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differential-privacy-for-sparse-classification-learning-1908.00780"/></url>
<url><loc>https://scifaro.com/en/abs/deterministic-completion-of-rectangular-matrices-using-asymmetric-ramanujan-graphs-exact-and-stable-recovery-1908.00963</loc><lastmod>2020-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deterministic-completion-of-rectangular-matrices-using-asymmetric-ramanujan-graphs-exact-and-stable-recovery-1908.00963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deterministic-completion-of-rectangular-matrices-using-asymmetric-ramanujan-graphs-exact-and-stable-recovery-1908.00963"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-neural-networks-enn-a-gradient-free-stochastic-method-1908.01113</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-neural-networks-enn-a-gradient-free-stochastic-method-1908.01113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-neural-networks-enn-a-gradient-free-stochastic-method-1908.01113"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-the-algorithmic-convergence-of-randomized-ensembles-the-regression-setting-1908.01251</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-the-algorithmic-convergence-of-randomized-ensembles-the-regression-setting-1908.01251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-the-algorithmic-convergence-of-randomized-ensembles-the-regression-setting-1908.01251"/></url>
<url><loc>https://scifaro.com/en/abs/method-of-contraction-expansion-moce-for-simultaneous-inference-in-linear-models-1908.01253</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/method-of-contraction-expansion-moce-for-simultaneous-inference-in-linear-models-1908.01253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/method-of-contraction-expansion-moce-for-simultaneous-inference-in-linear-models-1908.01253"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-rbf-neural-networks-1908.01321</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-rbf-neural-networks-1908.01321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-rbf-neural-networks-1908.01321"/></url>
<url><loc>https://scifaro.com/en/abs/extending-the-step-size-restriction-for-gradient-descent-to-avoid-strict-saddle-points-1908.01753</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extending-the-step-size-restriction-for-gradient-descent-to-avoid-strict-saddle-points-1908.01753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extending-the-step-size-restriction-for-gradient-descent-to-avoid-strict-saddle-points-1908.01753"/></url>
<url><loc>https://scifaro.com/en/abs/some-developments-in-clustering-analysis-on-stochastic-processes-1908.01794</loc><lastmod>2019-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/some-developments-in-clustering-analysis-on-stochastic-processes-1908.01794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/some-developments-in-clustering-analysis-on-stochastic-processes-1908.01794"/></url>
<url><loc>https://scifaro.com/en/abs/policy-evaluation-with-latent-confounders-via-optimal-balance-1908.01920</loc><lastmod>2019-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-evaluation-with-latent-confounders-via-optimal-balance-1908.01920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-evaluation-with-latent-confounders-via-optimal-balance-1908.01920"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-batch-active-learning-as-sparse-subset-approximation-1908.02144</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-batch-active-learning-as-sparse-subset-approximation-1908.02144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-batch-active-learning-as-sparse-subset-approximation-1908.02144"/></url>
<url><loc>https://scifaro.com/en/abs/on-convergence-of-distributed-approximate-newton-methods-globalization-sharper-bounds-and-beyond-1908.02246</loc><lastmod>2019-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-convergence-of-distributed-approximate-newton-methods-globalization-sharper-bounds-and-beyond-1908.02246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-convergence-of-distributed-approximate-newton-methods-globalization-sharper-bounds-and-beyond-1908.02246"/></url>
<url><loc>https://scifaro.com/en/abs/dnnsurv-deep-neural-networks-for-survival-analysis-using-pseudo-values-1908.02337</loc><lastmod>2020-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dnnsurv-deep-neural-networks-for-survival-analysis-using-pseudo-values-1908.02337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dnnsurv-deep-neural-networks-for-survival-analysis-using-pseudo-values-1908.02337"/></url>
<url><loc>https://scifaro.com/en/abs/single-point-transductive-prediction-1908.02341</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/single-point-transductive-prediction-1908.02341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/single-point-transductive-prediction-1908.02341"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-finds-global-minima-for-generalizable-deep-neural-networks-of-practical-sizes-1908.02419</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-finds-global-minima-for-generalizable-deep-neural-networks-of-practical-sizes-1908.02419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-finds-global-minima-for-generalizable-deep-neural-networks-of-practical-sizes-1908.02419"/></url>
<url><loc>https://scifaro.com/en/abs/strengthening-the-case-for-a-bayesian-approach-to-car-following-model-calibration-and-validation-using-probabilistic-programming-1908.02427</loc><lastmod>2019-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strengthening-the-case-for-a-bayesian-approach-to-car-following-model-calibration-and-validation-using-probabilistic-programming-1908.02427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strengthening-the-case-for-a-bayesian-approach-to-car-following-model-calibration-and-validation-using-probabilistic-programming-1908.02427"/></url>
<url><loc>https://scifaro.com/en/abs/robust-learning-with-jacobian-regularization-1908.02729</loc><lastmod>2019-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-learning-with-jacobian-regularization-1908.02729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-learning-with-jacobian-regularization-1908.02729"/></url>
<url><loc>https://scifaro.com/en/abs/mini-batch-metropolis-hastings-mcmc-with-reversible-sgld-proposal-1908.02910</loc><lastmod>2019-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mini-batch-metropolis-hastings-mcmc-with-reversible-sgld-proposal-1908.02910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mini-batch-metropolis-hastings-mcmc-with-reversible-sgld-proposal-1908.02910"/></url>
<url><loc>https://scifaro.com/en/abs/deepclean-self-supervised-artefact-rejection-for-intensive-care-waveform-data-using-deep-generative-learning-1908.03129</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepclean-self-supervised-artefact-rejection-for-intensive-care-waveform-data-using-deep-generative-learning-1908.03129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepclean-self-supervised-artefact-rejection-for-intensive-care-waveform-data-using-deep-generative-learning-1908.03129"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-convolutional-sparse-coding-with-low-rank-tensor-1908.03367</loc><lastmod>2019-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-convolutional-sparse-coding-with-low-rank-tensor-1908.03367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-convolutional-sparse-coding-with-low-rank-tensor-1908.03367"/></url>
<url><loc>https://scifaro.com/en/abs/group-pruning-using-a-bounded-lp-norm-for-group-gating-and-regularization-1908.03463</loc><lastmod>2019-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-pruning-using-a-bounded-lp-norm-for-group-gating-and-regularization-1908.03463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-pruning-using-a-bounded-lp-norm-for-group-gating-and-regularization-1908.03463"/></url>
<url><loc>https://scifaro.com/en/abs/bi-cross-validation-for-estimating-spectral-clustering-hyper-parameters-1908.03747</loc><lastmod>2020-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bi-cross-validation-for-estimating-spectral-clustering-hyper-parameters-1908.03747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bi-cross-validation-for-estimating-spectral-clustering-hyper-parameters-1908.03747"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-in-high-dimensional-data-1908.04000</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-in-high-dimensional-data-1908.04000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-in-high-dimensional-data-1908.04000"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-continuous-time-stochastic-processes-using-mathcal-n-curve-mixtures-1908.04030</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-continuous-time-stochastic-processes-using-mathcal-n-curve-mixtures-1908.04030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-continuous-time-stochastic-processes-using-mathcal-n-curve-mixtures-1908.04030"/></url>
<url><loc>https://scifaro.com/en/abs/dl-pde-deep-learning-based-data-driven-discovery-of-partial-differential-equations-from-discrete-and-noisy-data-1908.04463</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dl-pde-deep-learning-based-data-driven-discovery-of-partial-differential-equations-from-discrete-and-noisy-data-1908.04463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dl-pde-deep-learning-based-data-driven-discovery-of-partial-differential-equations-from-discrete-and-noisy-data-1908.04463"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-theorems-on-large-margin-learning-1908.04470</loc><lastmod>2019-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-theorems-on-large-margin-learning-1908.04470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-theorems-on-large-margin-learning-1908.04470"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-ensemble-weights-and-hyperparameters-of-machine-learning-models-for-regression-problems-1908.05287</loc><lastmod>2020-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-ensemble-weights-and-hyperparameters-of-machine-learning-models-for-regression-problems-1908.05287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-ensemble-weights-and-hyperparameters-of-machine-learning-models-for-regression-problems-1908.05287"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-pooling-of-seasonality-for-time-series-forecasting-an-application-to-pallet-transport-data-1908.05339</loc><lastmod>2020-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-pooling-of-seasonality-for-time-series-forecasting-an-application-to-pallet-transport-data-1908.05339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-pooling-of-seasonality-for-time-series-forecasting-an-application-to-pallet-transport-data-1908.05339"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-computer-experimental-design-for-estimating-an-extreme-probability-or-quantile-1908.05357</loc><lastmod>2019-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-computer-experimental-design-for-estimating-an-extreme-probability-or-quantile-1908.05357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-computer-experimental-design-for-estimating-an-extreme-probability-or-quantile-1908.05357"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-learning-from-complex-multigraphs-with-latent-graph-convolutional-networks-1908.05365</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-learning-from-complex-multigraphs-with-latent-graph-convolutional-networks-1908.05365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-learning-from-complex-multigraphs-with-latent-graph-convolutional-networks-1908.05365"/></url>
<url><loc>https://scifaro.com/en/abs/uplift-modeling-for-multiple-treatments-with-cost-optimization-1908.05372</loc><lastmod>2020-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uplift-modeling-for-multiple-treatments-with-cost-optimization-1908.05372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uplift-modeling-for-multiple-treatments-with-cost-optimization-1908.05372"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-relevance-and-minimum-redundancy-feature-selection-methods-for-a-marketing-machine-learning-platform-1908.05376</loc><lastmod>2019-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-relevance-and-minimum-redundancy-feature-selection-methods-for-a-marketing-machine-learning-platform-1908.05376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-relevance-and-minimum-redundancy-feature-selection-methods-for-a-marketing-machine-learning-platform-1908.05376"/></url>
<url><loc>https://scifaro.com/en/abs/combining-prediction-intervals-on-multi-source-non-disclosed-regression-datasets-1908.05571</loc><lastmod>2019-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-prediction-intervals-on-multi-source-non-disclosed-regression-datasets-1908.05571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-prediction-intervals-on-multi-source-non-disclosed-regression-datasets-1908.05571"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-choice-model-for-eliminating-feedback-loops-1908.05640</loc><lastmod>2019-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-choice-model-for-eliminating-feedback-loops-1908.05640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-choice-model-for-eliminating-feedback-loops-1908.05640"/></url>
<url><loc>https://scifaro.com/en/abs/tackling-algorithmic-bias-in-neural-network-classifiers-using-wasserstein-2-regularization-1908.05783</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tackling-algorithmic-bias-in-neural-network-classifiers-using-wasserstein-2-regularization-1908.05783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tackling-algorithmic-bias-in-neural-network-classifiers-using-wasserstein-2-regularization-1908.05783"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-sketching-yields-a-j-l-lemma-in-rkhs-1908.05818</loc><lastmod>2020-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-sketching-yields-a-j-l-lemma-in-rkhs-1908.05818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-sketching-yields-a-j-l-lemma-in-rkhs-1908.05818"/></url>
<url><loc>https://scifaro.com/en/abs/regression-on-imperfect-class-labels-derived-by-unsupervised-clustering-1908.05885</loc><lastmod>2020-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regression-on-imperfect-class-labels-derived-by-unsupervised-clustering-1908.05885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regression-on-imperfect-class-labels-derived-by-unsupervised-clustering-1908.05885"/></url>
<url><loc>https://scifaro.com/en/abs/attending-to-future-tokens-for-bidirectional-sequence-generation-1908.05915</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attending-to-future-tokens-for-bidirectional-sequence-generation-1908.05915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attending-to-future-tokens-for-bidirectional-sequence-generation-1908.05915"/></url>
<url><loc>https://scifaro.com/en/abs/an-exploratory-analysis-of-the-latent-structure-of-process-data-via-action-sequence-autoencoder-1908.06075</loc><lastmod>2019-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-exploratory-analysis-of-the-latent-structure-of-process-data-via-action-sequence-autoencoder-1908.06075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-exploratory-analysis-of-the-latent-structure-of-process-data-via-action-sequence-autoencoder-1908.06075"/></url>
<url><loc>https://scifaro.com/en/abs/towards-better-generalization-bp-svrg-in-training-deep-neural-networks-1908.06395</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-better-generalization-bp-svrg-in-training-deep-neural-networks-1908.06395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-better-generalization-bp-svrg-in-training-deep-neural-networks-1908.06395"/></url>
<url><loc>https://scifaro.com/en/abs/independence-testing-for-temporal-data-1908.06486</loc><lastmod>2024-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/independence-testing-for-temporal-data-1908.06486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/independence-testing-for-temporal-data-1908.06486"/></url>
<url><loc>https://scifaro.com/en/abs/weakly-supervised-segmentation-by-a-deep-geodesic-prior-1908.06498</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weakly-supervised-segmentation-by-a-deep-geodesic-prior-1908.06498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weakly-supervised-segmentation-by-a-deep-geodesic-prior-1908.06498"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-advertise-for-organic-traffic-maximization-in-e-commerce-product-feeds-1908.06698</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-advertise-for-organic-traffic-maximization-in-e-commerce-product-feeds-1908.06698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-advertise-for-organic-traffic-maximization-in-e-commerce-product-feeds-1908.06698"/></url>
<url><loc>https://scifaro.com/en/abs/autoregressive-model-based-methods-for-online-time-series-prediction-with-missing-values-an-experimental-evaluation-1908.06729</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoregressive-model-based-methods-for-online-time-series-prediction-with-missing-values-an-experimental-evaluation-1908.06729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoregressive-model-based-methods-for-online-time-series-prediction-with-missing-values-an-experimental-evaluation-1908.06729"/></url>
<url><loc>https://scifaro.com/en/abs/sirus-stable-and-interpretable-rule-set-for-classification-1908.06852</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sirus-stable-and-interpretable-rule-set-for-classification-1908.06852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sirus-stable-and-interpretable-rule-set-for-classification-1908.06852"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-asymmetric-epsilon-insensitive-pinball-loss-function-based-support-vector-quantile-regression-model-1908.06923</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-asymmetric-epsilon-insensitive-pinball-loss-function-based-support-vector-quantile-regression-model-1908.06923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-asymmetric-epsilon-insensitive-pinball-loss-function-based-support-vector-quantile-regression-model-1908.06923"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-boosting-machine-a-survey-1908.06951</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-boosting-machine-a-survey-1908.06951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-boosting-machine-a-survey-1908.06951"/></url>
<url><loc>https://scifaro.com/en/abs/improve-variational-autoencoder-with-auxiliary-softmax-multiclassifier-1908.06966</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improve-variational-autoencoder-with-auxiliary-softmax-multiclassifier-1908.06966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improve-variational-autoencoder-with-auxiliary-softmax-multiclassifier-1908.06966"/></url>
<url><loc>https://scifaro.com/en/abs/partially-observable-markov-decision-process-modelling-for-assessing-hierarchies-1908.07031</loc><lastmod>2020-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partially-observable-markov-decision-process-modelling-for-assessing-hierarchies-1908.07031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partially-observable-markov-decision-process-modelling-for-assessing-hierarchies-1908.07031"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-changepoint-detection-models-1908.07136</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-changepoint-detection-models-1908.07136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-changepoint-detection-models-1908.07136"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-lasso-based-sparse-learning-model-1908.07220</loc><lastmod>2022-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-lasso-based-sparse-learning-model-1908.07220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-lasso-based-sparse-learning-model-1908.07220"/></url>
<url><loc>https://scifaro.com/en/abs/n-merci-a-new-metric-to-evaluate-the-correlation-between-predictive-uncertainty-and-true-error-1908.07253</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/n-merci-a-new-metric-to-evaluate-the-correlation-between-predictive-uncertainty-and-true-error-1908.07253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/n-merci-a-new-metric-to-evaluate-the-correlation-between-predictive-uncertainty-and-true-error-1908.07253"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-and-simultaneous-adjustment-of-learning-rate-and-momentum-for-stochastic-gradient-descent-1908.07607</loc><lastmod>2019-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-and-simultaneous-adjustment-of-learning-rate-and-momentum-for-stochastic-gradient-descent-1908.07607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-and-simultaneous-adjustment-of-learning-rate-and-momentum-for-stochastic-gradient-descent-1908.07607"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-gamble-with-non-stationary-mathcal-x-armed-bandits-and-have-no-regrets-1908.07636</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-gamble-with-non-stationary-mathcal-x-armed-bandits-and-have-no-regrets-1908.07636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-gamble-with-non-stationary-mathcal-x-armed-bandits-and-have-no-regrets-1908.07636"/></url>
<url><loc>https://scifaro.com/en/abs/bridge-byzantine-resilient-decentralized-gradient-descent-1908.08098</loc><lastmod>2022-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridge-byzantine-resilient-decentralized-gradient-descent-1908.08098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridge-byzantine-resilient-decentralized-gradient-descent-1908.08098"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-configuration-oracle-for-online-portfolio-selection-methods-1908.08258</loc><lastmod>2019-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-configuration-oracle-for-online-portfolio-selection-methods-1908.08258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-configuration-oracle-for-online-portfolio-selection-methods-1908.08258"/></url>
<url><loc>https://scifaro.com/en/abs/chaotic-time-series-prediction-using-spatio-temporal-rbf-neural-networks-1908.08389</loc><lastmod>2019-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chaotic-time-series-prediction-using-spatio-temporal-rbf-neural-networks-1908.08389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chaotic-time-series-prediction-using-spatio-temporal-rbf-neural-networks-1908.08389"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-model-selection-with-a-meta-learning-approach-evidence-from-a-pool-of-forecasting-algorithms-1908.08489</loc><lastmod>2019-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-model-selection-with-a-meta-learning-approach-evidence-from-a-pool-of-forecasting-algorithms-1908.08489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-model-selection-with-a-meta-learning-approach-evidence-from-a-pool-of-forecasting-algorithms-1908.08489"/></url>
<url><loc>https://scifaro.com/en/abs/adversary-resilient-distributed-and-decentralized-statistical-inference-and-machine-learning-an-overview-of-recent-advances-under-the-byzantine-threat-model-1908.08649</loc><lastmod>2020-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversary-resilient-distributed-and-decentralized-statistical-inference-and-machine-learning-an-overview-of-recent-advances-under-the-byzantine-threat-model-1908.08649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversary-resilient-distributed-and-decentralized-statistical-inference-and-machine-learning-an-overview-of-recent-advances-under-the-byzantine-threat-model-1908.08649"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-distributionally-robust-optimization-theory-and-applications-in-machine-learning-1908.08729</loc><lastmod>2024-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-distributionally-robust-optimization-theory-and-applications-in-machine-learning-1908.08729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-distributionally-robust-optimization-theory-and-applications-in-machine-learning-1908.08729"/></url>
<url><loc>https://scifaro.com/en/abs/increasing-the-generalisation-capacity-of-conditional-vaes-1908.08750</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/increasing-the-generalisation-capacity-of-conditional-vaes-1908.08750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/increasing-the-generalisation-capacity-of-conditional-vaes-1908.08750"/></url>
<url><loc>https://scifaro.com/en/abs/identification-of-pediatric-sepsis-subphenotypes-for-enhanced-machine-learning-predictive-performance-a-latent-profile-analysis-1908.09038</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identification-of-pediatric-sepsis-subphenotypes-for-enhanced-machine-learning-predictive-performance-a-latent-profile-analysis-1908.09038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identification-of-pediatric-sepsis-subphenotypes-for-enhanced-machine-learning-predictive-performance-a-latent-profile-analysis-1908.09038"/></url>
<url><loc>https://scifaro.com/en/abs/consistent-classification-with-generalized-metrics-1908.09057</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-classification-with-generalized-metrics-1908.09057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-classification-with-generalized-metrics-1908.09057"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-recalibration-1908.09157</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-recalibration-1908.09157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-recalibration-1908.09157"/></url>
<url><loc>https://scifaro.com/en/abs/welfare-analysis-in-dynamic-models-1908.09173</loc><lastmod>2025-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/welfare-analysis-in-dynamic-models-1908.09173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/welfare-analysis-in-dynamic-models-1908.09173"/></url>
<url><loc>https://scifaro.com/en/abs/population-aware-hierarchical-bayesian-domain-adaptation-via-multiple-component-invariant-learning-1908.09222</loc><lastmod>2020-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/population-aware-hierarchical-bayesian-domain-adaptation-via-multiple-component-invariant-learning-1908.09222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/population-aware-hierarchical-bayesian-domain-adaptation-via-multiple-component-invariant-learning-1908.09222"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-long-term-outcomes-of-biologics-in-psoriasis-patients-using-machine-learning-1908.09251</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-long-term-outcomes-of-biologics-in-psoriasis-patients-using-machine-learning-1908.09251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-long-term-outcomes-of-biologics-in-psoriasis-patients-using-machine-learning-1908.09251"/></url>
<url><loc>https://scifaro.com/en/abs/normalizing-flows-an-introduction-and-review-of-current-methods-1908.09257</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normalizing-flows-an-introduction-and-review-of-current-methods-1908.09257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normalizing-flows-an-introduction-and-review-of-current-methods-1908.09257"/></url>
<url><loc>https://scifaro.com/en/abs/locally-linear-image-structural-embedding-for-image-structure-manifold-learning-1908.09288</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-linear-image-structural-embedding-for-image-structure-manifold-learning-1908.09288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-linear-image-structural-embedding-for-image-structure-manifold-learning-1908.09288"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-artificial-neural-network-based-model-for-underlying-cause-of-death-prediction-from-death-certificates-1908.09712</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-artificial-neural-network-based-model-for-underlying-cause-of-death-prediction-from-death-certificates-1908.09712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-artificial-neural-network-based-model-for-underlying-cause-of-death-prediction-from-death-certificates-1908.09712"/></url>
<url><loc>https://scifaro.com/en/abs/sufficient-representations-for-categorical-variables-1908.09874</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sufficient-representations-for-categorical-variables-1908.09874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sufficient-representations-for-categorical-variables-1908.09874"/></url>
<url><loc>https://scifaro.com/en/abs/convex-programming-for-estimation-in-nonlinear-recurrent-models-1908.09915</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-programming-for-estimation-in-nonlinear-recurrent-models-1908.09915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-programming-for-estimation-in-nonlinear-recurrent-models-1908.09915"/></url>
<url><loc>https://scifaro.com/en/abs/locally-optimized-random-forests-1908.09967</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-optimized-random-forests-1908.09967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-optimized-random-forests-1908.09967"/></url>
<url><loc>https://scifaro.com/en/abs/model-selection-with-graphical-neighbour-information-1908.10243</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-selection-with-graphical-neighbour-information-1908.10243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-selection-with-graphical-neighbour-information-1908.10243"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-and-computational-trade-offs-in-kernel-k-means-1908.10284</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-and-computational-trade-offs-in-kernel-k-means-1908.10284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-and-computational-trade-offs-in-kernel-k-means-1908.10284"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-active-learning-based-gaussian-process-metamodelling-strategy-for-estimating-the-full-probability-distribution-in-forward-uq-analysis-1908.10341</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-active-learning-based-gaussian-process-metamodelling-strategy-for-estimating-the-full-probability-distribution-in-forward-uq-analysis-1908.10341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-active-learning-based-gaussian-process-metamodelling-strategy-for-estimating-the-full-probability-distribution-in-forward-uq-analysis-1908.10341"/></url>
<url><loc>https://scifaro.com/en/abs/feature-gradients-scalable-feature-selection-via-discrete-relaxation-1908.10382</loc><lastmod>2019-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-gradients-scalable-feature-selection-via-discrete-relaxation-1908.10382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-gradients-scalable-feature-selection-via-discrete-relaxation-1908.10382"/></url>
<url><loc>https://scifaro.com/en/abs/an-energy-approach-to-the-solution-of-partial-differential-equations-in-computational-mechanics-via-machine-learning-concepts-implementation-and-applications-1908.10407</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-energy-approach-to-the-solution-of-partial-differential-equations-in-computational-mechanics-via-machine-learning-concepts-implementation-and-applications-1908.10407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-energy-approach-to-the-solution-of-partial-differential-equations-in-computational-mechanics-via-machine-learning-concepts-implementation-and-applications-1908.10407"/></url>
<url><loc>https://scifaro.com/en/abs/linear-convergence-of-adaptive-stochastic-gradient-descent-1908.10525</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-convergence-of-adaptive-stochastic-gradient-descent-1908.10525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-convergence-of-adaptive-stochastic-gradient-descent-1908.10525"/></url>
<url><loc>https://scifaro.com/en/abs/lecture-notes-selected-topics-on-robust-statistical-learning-theory-1908.10761</loc><lastmod>2019-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lecture-notes-selected-topics-on-robust-statistical-learning-theory-1908.10761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lecture-notes-selected-topics-on-robust-statistical-learning-theory-1908.10761"/></url>
<url><loc>https://scifaro.com/en/abs/multi-objective-automatic-machine-learning-with-autoxgboostmc-1908.10796</loc><lastmod>2021-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-objective-automatic-machine-learning-with-autoxgboostmc-1908.10796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-objective-automatic-machine-learning-with-autoxgboostmc-1908.10796"/></url>
<url><loc>https://scifaro.com/en/abs/high-order-langevin-diffusion-yields-an-accelerated-mcmc-algorithm-1908.10859</loc><lastmod>2020-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-order-langevin-diffusion-yields-an-accelerated-mcmc-algorithm-1908.10859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-order-langevin-diffusion-yields-an-accelerated-mcmc-algorithm-1908.10859"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-optimization-of-deep-neural-networks-for-groundwater-predictions-1908.10947</loc><lastmod>2020-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-optimization-of-deep-neural-networks-for-groundwater-predictions-1908.10947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-optimization-of-deep-neural-networks-for-groundwater-predictions-1908.10947"/></url>
<url><loc>https://scifaro.com/en/abs/data-based-wind-disaster-climate-identification-algorithm-and-extreme-wind-speed-prediction-1908.11051</loc><lastmod>2019-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-based-wind-disaster-climate-identification-algorithm-and-extreme-wind-speed-prediction-1908.11051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-based-wind-disaster-climate-identification-algorithm-and-extreme-wind-speed-prediction-1908.11051"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-rate-of-convergence-of-fully-connected-very-deep-neural-network-regression-estimates-1908.11133</loc><lastmod>2020-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-rate-of-convergence-of-fully-connected-very-deep-neural-network-regression-estimates-1908.11133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-rate-of-convergence-of-fully-connected-very-deep-neural-network-regression-estimates-1908.11133"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-a-function-of-low-local-dimensionality-by-deep-neural-networks-1908.11140</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-a-function-of-low-local-dimensionality-by-deep-neural-networks-1908.11140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-a-function-of-low-local-dimensionality-by-deep-neural-networks-1908.11140"/></url>
<url><loc>https://scifaro.com/en/abs/white-box-vs-black-box-bayes-optimal-strategies-for-membership-inference-1908.11229</loc><lastmod>2019-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/white-box-vs-black-box-bayes-optimal-strategies-for-membership-inference-1908.11229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/white-box-vs-black-box-bayes-optimal-strategies-for-membership-inference-1908.11229"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-and-optimization-with-gaussian-processes-in-reduced-eigenbases-extended-version-1908.11272</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-and-optimization-with-gaussian-processes-in-reduced-eigenbases-extended-version-1908.11272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-and-optimization-with-gaussian-processes-in-reduced-eigenbases-extended-version-1908.11272"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-and-the-internet-of-things-enable-steam-flood-optimization-for-improved-oil-production-1908.11319</loc><lastmod>2019-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-and-the-internet-of-things-enable-steam-flood-optimization-for-improved-oil-production-1908.11319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-and-the-internet-of-things-enable-steam-flood-optimization-for-improved-oil-production-1908.11319"/></url>
<url><loc>https://scifaro.com/en/abs/solve-fraud-detection-problem-by-using-graph-based-learning-methods-1908.11708</loc><lastmod>2019-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solve-fraud-detection-problem-by-using-graph-based-learning-methods-1908.11708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solve-fraud-detection-problem-by-using-graph-based-learning-methods-1908.11708"/></url>
<url><loc>https://scifaro.com/en/abs/network-elastic-net-for-identifying-smoking-specific-gene-expression-for-lung-cancer-1908.11833</loc><lastmod>2019-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-elastic-net-for-identifying-smoking-specific-gene-expression-for-lung-cancer-1908.11833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-elastic-net-for-identifying-smoking-specific-gene-expression-for-lung-cancer-1908.11833"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-risk-assessments-evaluation-and-fairness-1909.00066</loc><lastmod>2020-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-risk-assessments-evaluation-and-fairness-1909.00066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-risk-assessments-evaluation-and-fairness-1909.00066"/></url>
<url><loc>https://scifaro.com/en/abs/neural-architecture-search-for-joint-optimization-of-predictive-power-and-biological-knowledge-1909.00337</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-architecture-search-for-joint-optimization-of-predictive-power-and-biological-knowledge-1909.00337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-architecture-search-for-joint-optimization-of-predictive-power-and-biological-knowledge-1909.00337"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-mixture-model-decomposition-of-multivariate-signals-1909.00367</loc><lastmod>2020-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-mixture-model-decomposition-of-multivariate-signals-1909.00367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-mixture-model-decomposition-of-multivariate-signals-1909.00367"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-expressiveness-of-approximate-inference-in-bayesian-neural-networks-1909.00719</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-expressiveness-of-approximate-inference-in-bayesian-neural-networks-1909.00719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-expressiveness-of-approximate-inference-in-bayesian-neural-networks-1909.00719"/></url>
<url><loc>https://scifaro.com/en/abs/avoiding-resentment-via-monotonic-fairness-1909.01251</loc><lastmod>2019-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/avoiding-resentment-via-monotonic-fairness-1909.01251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/avoiding-resentment-via-monotonic-fairness-1909.01251"/></url>
<url><loc>https://scifaro.com/en/abs/learning-without-feedback-fixed-random-learning-signals-allow-for-feedforward-training-of-deep-neural-networks-1909.01311</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-without-feedback-fixed-random-learning-signals-allow-for-feedforward-training-of-deep-neural-networks-1909.01311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-without-feedback-fixed-random-learning-signals-allow-for-feedforward-training-of-deep-neural-networks-1909.01311"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-topic-modeling-with-logistic-lda-1909.01436</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-topic-modeling-with-logistic-lda-1909.01436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-topic-modeling-with-logistic-lda-1909.01436"/></url>
<url><loc>https://scifaro.com/en/abs/rates-of-convergence-for-large-scale-nearest-neighbor-classification-1909.01464</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rates-of-convergence-for-large-scale-nearest-neighbor-classification-1909.01464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rates-of-convergence-for-large-scale-nearest-neighbor-classification-1909.01464"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-accounting-and-quality-control-in-the-sage-differentially-private-ml-platform-1909.01502</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-accounting-and-quality-control-in-the-sage-differentially-private-ml-platform-1909.01502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-accounting-and-quality-control-in-the-sage-differentially-private-ml-platform-1909.01502"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-free-overcomplete-ica-and-applications-in-causal-discovery-1909.01525</loc><lastmod>2019-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-free-overcomplete-ica-and-applications-in-causal-discovery-1909.01525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-free-overcomplete-ica-and-applications-in-causal-discovery-1909.01525"/></url>
<url><loc>https://scifaro.com/en/abs/latent-gaussian-process-with-composite-likelihoods-and-numerical-quadrature-1909.01614</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-gaussian-process-with-composite-likelihoods-and-numerical-quadrature-1909.01614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-gaussian-process-with-composite-likelihoods-and-numerical-quadrature-1909.01614"/></url>
<url><loc>https://scifaro.com/en/abs/metric-learning-from-imbalanced-data-1909.01651</loc><lastmod>2019-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metric-learning-from-imbalanced-data-1909.01651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metric-learning-from-imbalanced-data-1909.01651"/></url>
<url><loc>https://scifaro.com/en/abs/using-contextual-information-to-improve-blood-glucose-prediction-1909.01735</loc><lastmod>2019-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-contextual-information-to-improve-blood-glucose-prediction-1909.01735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-contextual-information-to-improve-blood-glucose-prediction-1909.01735"/></url>
<url><loc>https://scifaro.com/en/abs/data-selection-for-short-term-load-forecasting-1909.01759</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-selection-for-short-term-load-forecasting-1909.01759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-selection-for-short-term-load-forecasting-1909.01759"/></url>
<url><loc>https://scifaro.com/en/abs/deep-kernel-learning-for-integral-measurements-1909.01844</loc><lastmod>2019-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-kernel-learning-for-integral-measurements-1909.01844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-kernel-learning-for-integral-measurements-1909.01844"/></url>
<url><loc>https://scifaro.com/en/abs/an-arm-wise-randomization-approach-to-combinatorial-linear-semi-bandits-1909.02251</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-arm-wise-randomization-approach-to-combinatorial-linear-semi-bandits-1909.02251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-arm-wise-randomization-approach-to-combinatorial-linear-semi-bandits-1909.02251"/></url>
<url><loc>https://scifaro.com/en/abs/lsmi-sinkhorn-semi-supervised-mutual-information-estimation-with-optimal-transport-1909.02373</loc><lastmod>2024-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lsmi-sinkhorn-semi-supervised-mutual-information-estimation-with-optimal-transport-1909.02373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lsmi-sinkhorn-semi-supervised-mutual-information-estimation-with-optimal-transport-1909.02373"/></url>
<url><loc>https://scifaro.com/en/abs/smooth-contextual-bandits-bridging-the-parametric-and-non-differentiable-regret-regimes-1909.02553</loc><lastmod>2020-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smooth-contextual-bandits-bridging-the-parametric-and-non-differentiable-regret-regimes-1909.02553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smooth-contextual-bandits-bridging-the-parametric-and-non-differentiable-regret-regimes-1909.02553"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-precision-matrix-estimation-1909.02750</loc><lastmod>2019-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-precision-matrix-estimation-1909.02750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-precision-matrix-estimation-1909.02750"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-estimation-of-network-complexity-dimension-of-graphons-1909.02900</loc><lastmod>2021-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-estimation-of-network-complexity-dimension-of-graphons-1909.02900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-estimation-of-network-complexity-dimension-of-graphons-1909.02900"/></url>
<url><loc>https://scifaro.com/en/abs/quantized-fisher-discriminant-analysis-1909.03037</loc><lastmod>2019-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantized-fisher-discriminant-analysis-1909.03037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantized-fisher-discriminant-analysis-1909.03037"/></url>
<url><loc>https://scifaro.com/en/abs/solving-interpretable-kernel-dimension-reduction-1909.03093</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-interpretable-kernel-dimension-reduction-1909.03093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-interpretable-kernel-dimension-reduction-1909.03093"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-spectral-method-for-alternative-clustering-1909.03441</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-spectral-method-for-alternative-clustering-1909.03441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-spectral-method-for-alternative-clustering-1909.03441"/></url>
<url><loc>https://scifaro.com/en/abs/shapley-values-of-reconstruction-errors-of-pca-for-explaining-anomaly-detection-1909.03495</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shapley-values-of-reconstruction-errors-of-pca-for-explaining-anomaly-detection-1909.03495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shapley-values-of-reconstruction-errors-of-pca-for-explaining-anomaly-detection-1909.03495"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-robustness-in-multi-class-categorization-by-fine-tuning-pre-trained-contextualized-language-models-1909.03564</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-robustness-in-multi-class-categorization-by-fine-tuning-pre-trained-contextualized-language-models-1909.03564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-robustness-in-multi-class-categorization-by-fine-tuning-pre-trained-contextualized-language-models-1909.03564"/></url>
<url><loc>https://scifaro.com/en/abs/curve-fitting-from-probabilistic-emissions-and-applications-to-dynamic-item-response-theory-1909.03586</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curve-fitting-from-probabilistic-emissions-and-applications-to-dynamic-item-response-theory-1909.03586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curve-fitting-from-probabilistic-emissions-and-applications-to-dynamic-item-response-theory-1909.03586"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-recommender-learning-from-missing-not-at-random-implicit-feedback-1909.03601</loc><lastmod>2022-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-recommender-learning-from-missing-not-at-random-implicit-feedback-1909.03601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-recommender-learning-from-missing-not-at-random-implicit-feedback-1909.03601"/></url>
<url><loc>https://scifaro.com/en/abs/communication-censored-distributed-stochastic-gradient-descent-1909.03631</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-censored-distributed-stochastic-gradient-descent-1909.03631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-censored-distributed-stochastic-gradient-descent-1909.03631"/></url>
<url><loc>https://scifaro.com/en/abs/theory-of-optimal-bayesian-feature-filtering-1909.03637</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theory-of-optimal-bayesian-feature-filtering-1909.03637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theory-of-optimal-bayesian-feature-filtering-1909.03637"/></url>
<url><loc>https://scifaro.com/en/abs/joint-partially-joint-and-individual-independent-component-analysis-in-multi-subject-fmri-data-1909.03676</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-partially-joint-and-individual-independent-component-analysis-in-multi-subject-fmri-data-1909.03676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-partially-joint-and-individual-independent-component-analysis-in-multi-subject-fmri-data-1909.03676"/></url>
<url><loc>https://scifaro.com/en/abs/differential-equations-as-models-of-deep-neural-networks-1909.03767</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differential-equations-as-models-of-deep-neural-networks-1909.03767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differential-equations-as-models-of-deep-neural-networks-1909.03767"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-local-causal-inference-of-gene-regulatory-relationships-1909.03818</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-local-causal-inference-of-gene-regulatory-relationships-1909.03818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-local-causal-inference-of-gene-regulatory-relationships-1909.03818"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-personalized-heterogeneous-treatment-effects-using-concatenation-and-augmentation-of-feature-vectors-1909.03894</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-personalized-heterogeneous-treatment-effects-using-concatenation-and-augmentation-of-feature-vectors-1909.03894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-personalized-heterogeneous-treatment-effects-using-concatenation-and-augmentation-of-feature-vectors-1909.03894"/></url>
<url><loc>https://scifaro.com/en/abs/driver-identification-via-the-steering-wheel-1909.03953</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/driver-identification-via-the-steering-wheel-1909.03953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/driver-identification-via-the-steering-wheel-1909.03953"/></url>
<url><loc>https://scifaro.com/en/abs/building-calibrated-deep-models-via-uncertainty-matching-with-auxiliary-interval-predictors-1909.04079</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-calibrated-deep-models-via-uncertainty-matching-with-auxiliary-interval-predictors-1909.04079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-calibrated-deep-models-via-uncertainty-matching-with-auxiliary-interval-predictors-1909.04079"/></url>
<url><loc>https://scifaro.com/en/abs/super-ensemble-learning-for-daily-streamflow-forecasting-large-scale-demonstration-and-comparison-with-multiple-machine-learning-algorithms-1909.04131</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/super-ensemble-learning-for-daily-streamflow-forecasting-large-scale-demonstration-and-comparison-with-multiple-machine-learning-algorithms-1909.04131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/super-ensemble-learning-for-daily-streamflow-forecasting-large-scale-demonstration-and-comparison-with-multiple-machine-learning-algorithms-1909.04131"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-biomanufacturing-process-risk-and-sensitivity-analyses-for-quality-by-design-and-stability-control-1909.04261</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-biomanufacturing-process-risk-and-sensitivity-analyses-for-quality-by-design-and-stability-control-1909.04261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-biomanufacturing-process-risk-and-sensitivity-analyses-for-quality-by-design-and-stability-control-1909.04261"/></url>
<url><loc>https://scifaro.com/en/abs/a-multistep-lyapunov-approach-for-finite-time-analysis-of-biased-stochastic-approximation-1909.04299</loc><lastmod>2020-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multistep-lyapunov-approach-for-finite-time-analysis-of-biased-stochastic-approximation-1909.04299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multistep-lyapunov-approach-for-finite-time-analysis-of-biased-stochastic-approximation-1909.04299"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-ising-inference-from-high-temperature-re-weighting-of-observations-1909.04305</loc><lastmod>2020-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-ising-inference-from-high-temperature-re-weighting-of-observations-1909.04305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-ising-inference-from-high-temperature-re-weighting-of-observations-1909.04305"/></url>
<url><loc>https://scifaro.com/en/abs/a-meta-learning-framework-for-generalized-zero-shot-learning-1909.04344</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-meta-learning-framework-for-generalized-zero-shot-learning-1909.04344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-meta-learning-framework-for-generalized-zero-shot-learning-1909.04344"/></url>
<url><loc>https://scifaro.com/en/abs/subspace-clustering-without-knowing-the-number-of-clusters-a-parameter-free-approach-1909.04406</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subspace-clustering-without-knowing-the-number-of-clusters-a-parameter-free-approach-1909.04406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subspace-clustering-without-knowing-the-number-of-clusters-a-parameter-free-approach-1909.04406"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-structure-learning-of-continuous-time-bayesian-networks-from-incomplete-data-1909.04570</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-structure-learning-of-continuous-time-bayesian-networks-from-incomplete-data-1909.04570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-structure-learning-of-continuous-time-bayesian-networks-from-incomplete-data-1909.04570"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-with-inexact-labels-1909.04807</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-with-inexact-labels-1909.04807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-with-inexact-labels-1909.04807"/></url>
<url><loc>https://scifaro.com/en/abs/correcting-predictions-for-approximate-bayesian-inference-1909.04919</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correcting-predictions-for-approximate-bayesian-inference-1909.04919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correcting-predictions-for-approximate-bayesian-inference-1909.04919"/></url>
<url><loc>https://scifaro.com/en/abs/independent-subspace-analysis-for-unsupervised-learning-of-disentangled-representations-1909.05063</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/independent-subspace-analysis-for-unsupervised-learning-of-disentangled-representations-1909.05063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/independent-subspace-analysis-for-unsupervised-learning-of-disentangled-representations-1909.05063"/></url>
<url><loc>https://scifaro.com/en/abs/practical-calculation-of-gittins-indices-for-multi-armed-bandits-1909.05075</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-calculation-of-gittins-indices-for-multi-armed-bandits-1909.05075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-calculation-of-gittins-indices-for-multi-armed-bandits-1909.05075"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-non-convex-optimization-for-dimension-reduction-with-hilbert-schmidt-independence-criterion-1909.05097</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-non-convex-optimization-for-dimension-reduction-with-hilbert-schmidt-independence-criterion-1909.05097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-non-convex-optimization-for-dimension-reduction-with-hilbert-schmidt-independence-criterion-1909.05097"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-regularization-for-optimal-sparse-recovery-1909.05122</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-regularization-for-optimal-sparse-recovery-1909.05122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-regularization-for-optimal-sparse-recovery-1909.05122"/></url>
<url><loc>https://scifaro.com/en/abs/byzantine-robust-federated-machine-learning-through-adaptive-model-averaging-1909.05125</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/byzantine-robust-federated-machine-learning-through-adaptive-model-averaging-1909.05125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/byzantine-robust-federated-machine-learning-through-adaptive-model-averaging-1909.05125"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-deep-learning-with-nonconvex-penalties-1909.05142</loc><lastmod>2022-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-deep-learning-with-nonconvex-penalties-1909.05142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-deep-learning-with-nonconvex-penalties-1909.05142"/></url>
<url><loc>https://scifaro.com/en/abs/goodness-of-fit-tests-on-manifolds-1909.05229</loc><lastmod>2020-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/goodness-of-fit-tests-on-manifolds-1909.05229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/goodness-of-fit-tests-on-manifolds-1909.05229"/></url>
<url><loc>https://scifaro.com/en/abs/double-robustness-for-complier-parameters-and-a-semiparametric-test-for-complier-characteristics-1909.05244</loc><lastmod>2022-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/double-robustness-for-complier-parameters-and-a-semiparametric-test-for-complier-characteristics-1909.05244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/double-robustness-for-complier-parameters-and-a-semiparametric-test-for-complier-characteristics-1909.05244"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-cross-validation-stable-model-selection-procedure-for-causal-inference-models-1909.05299</loc><lastmod>2020-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-cross-validation-stable-model-selection-procedure-for-causal-inference-models-1909.05299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-cross-validation-stable-model-selection-procedure-for-causal-inference-models-1909.05299"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-estimation-and-feature-selection-in-mixtures-of-gaussian-gated-experts-models-1909.05494</loc><lastmod>2019-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-estimation-and-feature-selection-in-mixtures-of-gaussian-gated-experts-models-1909.05494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-estimation-and-feature-selection-in-mixtures-of-gaussian-gated-experts-models-1909.05494"/></url>
<url><loc>https://scifaro.com/en/abs/generating-data-using-monte-carlo-dropout-1909.05755</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-data-using-monte-carlo-dropout-1909.05755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-data-using-monte-carlo-dropout-1909.05755"/></url>
<url><loc>https://scifaro.com/en/abs/explicit-duration-markov-switching-models-1909.05800</loc><lastmod>2019-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explicit-duration-markov-switching-models-1909.05800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explicit-duration-markov-switching-models-1909.05800"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-distributed-optimization-in-networks-with-gradient-tracking-and-variance-reduction-1909.05844</loc><lastmod>2020-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-distributed-optimization-in-networks-with-gradient-tracking-and-variance-reduction-1909.05844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-distributed-optimization-in-networks-with-gradient-tracking-and-variance-reduction-1909.05844"/></url>
<url><loc>https://scifaro.com/en/abs/efficiently-breaking-the-curse-of-horizon-in-off-policy-evaluation-with-double-reinforcement-learning-1909.05850</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficiently-breaking-the-curse-of-horizon-in-off-policy-evaluation-with-double-reinforcement-learning-1909.05850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficiently-breaking-the-curse-of-horizon-in-off-policy-evaluation-with-double-reinforcement-learning-1909.05850"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-level-set-estimation-under-input-uncertainty-and-its-extensions-1909.06064</loc><lastmod>2025-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-level-set-estimation-under-input-uncertainty-and-its-extensions-1909.06064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-level-set-estimation-under-input-uncertainty-and-its-extensions-1909.06064"/></url>
<url><loc>https://scifaro.com/en/abs/shallow-self-learning-for-reject-inference-in-credit-scoring-1909.06108</loc><lastmod>2020-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shallow-self-learning-for-reject-inference-in-credit-scoring-1909.06108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shallow-self-learning-for-reject-inference-in-credit-scoring-1909.06108"/></url>
<url><loc>https://scifaro.com/en/abs/shapley-interpretation-and-activation-in-neural-networks-1909.06143</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shapley-interpretation-and-activation-in-neural-networks-1909.06143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shapley-interpretation-and-activation-in-neural-networks-1909.06143"/></url>
<url><loc>https://scifaro.com/en/abs/a-knowledge-transfer-framework-for-differentially-private-sparse-learning-1909.06322</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-knowledge-transfer-framework-for-differentially-private-sparse-learning-1909.06322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-knowledge-transfer-framework-for-differentially-private-sparse-learning-1909.06322"/></url>
<url><loc>https://scifaro.com/en/abs/recommendation-or-discrimination-quantifying-distribution-parity-in-information-retrieval-systems-1909.06429</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recommendation-or-discrimination-quantifying-distribution-parity-in-information-retrieval-systems-1909.06429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recommendation-or-discrimination-quantifying-distribution-parity-in-information-retrieval-systems-1909.06429"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-model-for-natural-groupings-in-high-dimensional-data-1909.06511</loc><lastmod>2024-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-model-for-natural-groupings-in-high-dimensional-data-1909.06511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-model-for-natural-groupings-in-high-dimensional-data-1909.06511"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-gaussian-process-classification-with-additive-noise-for-various-likelihoods-1909.06541</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-gaussian-process-classification-with-additive-noise-for-various-likelihoods-1909.06541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-gaussian-process-classification-with-additive-noise-for-various-likelihoods-1909.06541"/></url>
<url><loc>https://scifaro.com/en/abs/machine-discovery-of-partial-differential-equations-from-spatiotemporal-data-1909.06730</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-discovery-of-partial-differential-equations-from-spatiotemporal-data-1909.06730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-discovery-of-partial-differential-equations-from-spatiotemporal-data-1909.06730"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-improving-virtual-adversarial-training-1909.06737</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-improving-virtual-adversarial-training-1909.06737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-improving-virtual-adversarial-training-1909.06737"/></url>
<url><loc>https://scifaro.com/en/abs/inner-product-kernels-are-asymptotically-equivalent-to-binary-discrete-kernels-1909.06788</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inner-product-kernels-are-asymptotically-equivalent-to-binary-discrete-kernels-1909.06788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inner-product-kernels-are-asymptotically-equivalent-to-binary-discrete-kernels-1909.06788"/></url>
<url><loc>https://scifaro.com/en/abs/latent-distance-estimation-for-random-geometric-graphs-1909.06841</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-distance-estimation-for-random-geometric-graphs-1909.06841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-distance-estimation-for-random-geometric-graphs-1909.06841"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-study-towards-understanding-line-search-approximations-for-training-neural-networks-1909.06893</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-study-towards-understanding-line-search-approximations-for-training-neural-networks-1909.06893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-study-towards-understanding-line-search-approximations-for-training-neural-networks-1909.06893"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-alpha-divergence-minimization-for-bayesian-approximate-inference-1909.06945</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-alpha-divergence-minimization-for-bayesian-approximate-inference-1909.06945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-alpha-divergence-minimization-for-bayesian-approximate-inference-1909.06945"/></url>
<url><loc>https://scifaro.com/en/abs/incorporating-dynamicity-of-transportation-network-with-multi-weight-traffic-graph-convolutional-network-for-traffic-forecasting-1909.07105</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incorporating-dynamicity-of-transportation-network-with-multi-weight-traffic-graph-convolutional-network-for-traffic-forecasting-1909.07105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incorporating-dynamicity-of-transportation-network-with-multi-weight-traffic-graph-convolutional-network-for-traffic-forecasting-1909.07105"/></url>
<url><loc>https://scifaro.com/en/abs/distance-assessment-and-hypothesis-testing-of-high-dimensional-samples-using-variational-autoencoders-1909.07182</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distance-assessment-and-hypothesis-testing-of-high-dimensional-samples-using-variational-autoencoders-1909.07182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distance-assessment-and-hypothesis-testing-of-high-dimensional-samples-using-variational-autoencoders-1909.07182"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-benchmark-determining-best-achievable-misclassification-error-from-training-data-1909.07192</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-benchmark-determining-best-achievable-misclassification-error-from-training-data-1909.07192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-benchmark-determining-best-achievable-misclassification-error-from-training-data-1909.07192"/></url>
<url><loc>https://scifaro.com/en/abs/band-limited-gaussian-processes-the-sinc-kernel-1909.07279</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/band-limited-gaussian-processes-the-sinc-kernel-1909.07279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/band-limited-gaussian-processes-the-sinc-kernel-1909.07279"/></url>
<url><loc>https://scifaro.com/en/abs/variable-selection-with-false-discovery-rate-control-in-deep-neural-networks-1909.07561</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-selection-with-false-discovery-rate-control-in-deep-neural-networks-1909.07561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-selection-with-false-discovery-rate-control-in-deep-neural-networks-1909.07561"/></url>
<url><loc>https://scifaro.com/en/abs/stacking-models-for-nearly-optimal-link-prediction-in-complex-networks-1909.07578</loc><lastmod>2020-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stacking-models-for-nearly-optimal-link-prediction-in-complex-networks-1909.07578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stacking-models-for-nearly-optimal-link-prediction-in-complex-networks-1909.07578"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-transfer-bayesian-optimization-with-auxiliary-information-1909.07670</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-transfer-bayesian-optimization-with-auxiliary-information-1909.07670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-transfer-bayesian-optimization-with-auxiliary-information-1909.07670"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-rare-feature-combinations-in-population-synthesis-application-of-deep-generative-modelling-1909.07689</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-rare-feature-combinations-in-population-synthesis-application-of-deep-generative-modelling-1909.07689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-rare-feature-combinations-in-population-synthesis-application-of-deep-generative-modelling-1909.07689"/></url>
<url><loc>https://scifaro.com/en/abs/compositional-uncertainty-in-deep-gaussian-processes-1909.07698</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compositional-uncertainty-in-deep-gaussian-processes-1909.07698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compositional-uncertainty-in-deep-gaussian-processes-1909.07698"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-metrics-on-non-shuffled-traffic-1909.07926</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-metrics-on-non-shuffled-traffic-1909.07926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-metrics-on-non-shuffled-traffic-1909.07926"/></url>
<url><loc>https://scifaro.com/en/abs/bloccs-block-sparse-canonical-correlation-analysis-with-application-to-interpretable-omics-integration-1909.07944</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bloccs-block-sparse-canonical-correlation-analysis-with-application-to-interpretable-omics-integration-1909.07944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bloccs-block-sparse-canonical-correlation-analysis-with-application-to-interpretable-omics-integration-1909.07944"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-canonical-correlation-analysis-via-concave-minimization-1909.07947</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-canonical-correlation-analysis-via-concave-minimization-1909.07947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-canonical-correlation-analysis-via-concave-minimization-1909.07947"/></url>
<url><loc>https://scifaro.com/en/abs/properties-of-laplacian-pyramids-for-extension-and-denoising-1909.07974</loc><lastmod>2019-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/properties-of-laplacian-pyramids-for-extension-and-denoising-1909.07974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/properties-of-laplacian-pyramids-for-extension-and-denoising-1909.07974"/></url>
<url><loc>https://scifaro.com/en/abs/relaxed-softmax-for-learning-from-positive-and-unlabeled-data-1909.08079</loc><lastmod>2019-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relaxed-softmax-for-learning-from-positive-and-unlabeled-data-1909.08079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relaxed-softmax-for-learning-from-positive-and-unlabeled-data-1909.08079"/></url>
<url><loc>https://scifaro.com/en/abs/instance-dependent-ell-infty-bounds-for-policy-evaluation-in-tabular-reinforcement-learning-1909.08749</loc><lastmod>2020-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instance-dependent-ell-infty-bounds-for-policy-evaluation-in-tabular-reinforcement-learning-1909.08749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instance-dependent-ell-infty-bounds-for-policy-evaluation-in-tabular-reinforcement-learning-1909.08749"/></url>
<url><loc>https://scifaro.com/en/abs/on-efficient-multilevel-clustering-via-wasserstein-distances-1909.08787</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-efficient-multilevel-clustering-via-wasserstein-distances-1909.08787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-efficient-multilevel-clustering-via-wasserstein-distances-1909.08787"/></url>
<url><loc>https://scifaro.com/en/abs/absum-simple-regularization-method-for-reducing-structural-sensitivity-of-convolutional-neural-networks-1909.08830</loc><lastmod>2019-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/absum-simple-regularization-method-for-reducing-structural-sensitivity-of-convolutional-neural-networks-1909.08830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/absum-simple-regularization-method-for-reducing-structural-sensitivity-of-convolutional-neural-networks-1909.08830"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-visual-models-by-causal-attribution-1909.08891</loc><lastmod>2019-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-visual-models-by-causal-attribution-1909.08891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-visual-models-by-causal-attribution-1909.08891"/></url>
<url><loc>https://scifaro.com/en/abs/shape-and-time-distortion-loss-for-training-deep-time-series-forecasting-models-1909.09020</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shape-and-time-distortion-loss-for-training-deep-time-series-forecasting-models-1909.09020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shape-and-time-distortion-loss-for-training-deep-time-series-forecasting-models-1909.09020"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-distributions-ell-1-geometry-improves-kernel-two-sample-testing-1909.09264</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-distributions-ell-1-geometry-improves-kernel-two-sample-testing-1909.09264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-distributions-ell-1-geometry-improves-kernel-two-sample-testing-1909.09264"/></url>
<url><loc>https://scifaro.com/en/abs/does-slope-outperform-bridge-regression-1909.09345</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-slope-outperform-bridge-regression-1909.09345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-slope-outperform-bridge-regression-1909.09345"/></url>
<url><loc>https://scifaro.com/en/abs/computing-full-conformal-prediction-set-with-approximate-homotopy-1909.09365</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-full-conformal-prediction-set-with-approximate-homotopy-1909.09365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-full-conformal-prediction-set-with-approximate-homotopy-1909.09365"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-rates-for-learning-hidden-tree-structures-1909.09596</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-rates-for-learning-hidden-tree-structures-1909.09596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-rates-for-learning-hidden-tree-structures-1909.09596"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-approximate-and-regularized-policy-iteration-schemes-1909.09621</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-approximate-and-regularized-policy-iteration-schemes-1909.09621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-approximate-and-regularized-policy-iteration-schemes-1909.09621"/></url>
<url><loc>https://scifaro.com/en/abs/particle-smoothing-variational-objectives-1909.09734</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-smoothing-variational-objectives-1909.09734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-smoothing-variational-objectives-1909.09734"/></url>
<url><loc>https://scifaro.com/en/abs/using-statistics-to-automate-stochastic-optimization-1909.09785</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-statistics-to-automate-stochastic-optimization-1909.09785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-statistics-to-automate-stochastic-optimization-1909.09785"/></url>
<url><loc>https://scifaro.com/en/abs/asni-adaptive-structured-noise-injection-for-shallow-and-deep-neural-networks-1909.09819</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asni-adaptive-structured-noise-injection-for-shallow-and-deep-neural-networks-1909.09819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asni-adaptive-structured-noise-injection-for-shallow-and-deep-neural-networks-1909.09819"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-query-complexity-for-private-sequential-learning-against-eavesdropping-1909.09836</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-query-complexity-for-private-sequential-learning-against-eavesdropping-1909.09836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-query-complexity-for-private-sequential-learning-against-eavesdropping-1909.09836"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalization-of-regularized-dual-averaging-and-its-dynamics-1909.10072</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalization-of-regularized-dual-averaging-and-its-dynamics-1909.10072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalization-of-regularized-dual-averaging-and-its-dynamics-1909.10072"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-fitting-under-unbounded-noise-1909.10228</loc><lastmod>2024-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-fitting-under-unbounded-noise-1909.10228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-fitting-under-unbounded-noise-1909.10228"/></url>
<url><loc>https://scifaro.com/en/abs/inference-of-modes-for-linear-stochastic-processes-1909.10247</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-of-modes-for-linear-stochastic-processes-1909.10247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-of-modes-for-linear-stochastic-processes-1909.10247"/></url>
<url><loc>https://scifaro.com/en/abs/learning-temporal-attention-in-dynamic-graphs-with-bilinear-interactions-1909.10367</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-temporal-attention-in-dynamic-graphs-with-bilinear-interactions-1909.10367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-temporal-attention-in-dynamic-graphs-with-bilinear-interactions-1909.10367"/></url>
<url><loc>https://scifaro.com/en/abs/kalman-filtering-with-gaussian-processes-measurement-noise-1909.10582</loc><lastmod>2019-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kalman-filtering-with-gaussian-processes-measurement-noise-1909.10582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kalman-filtering-with-gaussian-processes-measurement-noise-1909.10582"/></url>
<url><loc>https://scifaro.com/en/abs/a-theory-of-uncertainty-variables-for-state-estimation-and-inference-1909.10673</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theory-of-uncertainty-variables-for-state-estimation-and-inference-1909.10673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theory-of-uncertainty-variables-for-state-estimation-and-inference-1909.10673"/></url>
<url><loc>https://scifaro.com/en/abs/simple-and-almost-assumption-free-out-of-sample-bound-for-random-feature-mapping-1909.11207</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-and-almost-assumption-free-out-of-sample-bound-for-random-feature-mapping-1909.11207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-and-almost-assumption-free-out-of-sample-bound-for-random-feature-mapping-1909.11207"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-probabilistic-model-for-blind-source-separation-via-legendre-transformation-1909.11294</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-probabilistic-model-for-blind-source-separation-via-legendre-transformation-1909.11294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-probabilistic-model-for-blind-source-separation-via-legendre-transformation-1909.11294"/></url>
<url><loc>https://scifaro.com/en/abs/classification-logit-two-sample-testing-by-neural-networks-1909.11298</loc><lastmod>2022-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-logit-two-sample-testing-by-neural-networks-1909.11298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-logit-two-sample-testing-by-neural-networks-1909.11298"/></url>
<url><loc>https://scifaro.com/en/abs/determining-offshore-wind-installation-times-using-machine-learning-and-open-data-1909.11313</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/determining-offshore-wind-installation-times-using-machine-learning-and-open-data-1909.11313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/determining-offshore-wind-installation-times-using-machine-learning-and-open-data-1909.11313"/></url>
<url><loc>https://scifaro.com/en/abs/information-plane-analysis-of-deep-neural-networks-via-matrix-based-renyi-s-entropy-and-tensor-kernels-1909.11396</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-plane-analysis-of-deep-neural-networks-via-matrix-based-renyi-s-entropy-and-tensor-kernels-1909.11396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-plane-analysis-of-deep-neural-networks-via-matrix-based-renyi-s-entropy-and-tensor-kernels-1909.11396"/></url>
<url><loc>https://scifaro.com/en/abs/forward-backward-splitting-for-optimal-transport-based-problems-1909.11448</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forward-backward-splitting-for-optimal-transport-based-problems-1909.11448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forward-backward-splitting-for-optimal-transport-based-problems-1909.11448"/></url>
<url><loc>https://scifaro.com/en/abs/a-generative-model-for-molecular-distance-geometry-1909.11459</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generative-model-for-molecular-distance-geometry-1909.11459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generative-model-for-molecular-distance-geometry-1909.11459"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-the-influence-of-data-structure-on-learning-in-neural-networks-the-hidden-manifold-model-1909.11500</loc><lastmod>2020-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-the-influence-of-data-structure-on-learning-in-neural-networks-the-hidden-manifold-model-1909.11500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-the-influence-of-data-structure-on-learning-in-neural-networks-the-hidden-manifold-model-1909.11500"/></url>
<url><loc>https://scifaro.com/en/abs/structured-graph-learning-via-laplacian-spectral-constraints-1909.11594</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-graph-learning-via-laplacian-spectral-constraints-1909.11594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-graph-learning-via-laplacian-spectral-constraints-1909.11594"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-prototype-embeddings-1909.11702</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-prototype-embeddings-1909.11702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-prototype-embeddings-1909.11702"/></url>
<url><loc>https://scifaro.com/en/abs/benefit-of-interpolation-in-nearest-neighbor-algorithms-1909.11720</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benefit-of-interpolation-in-nearest-neighbor-algorithms-1909.11720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benefit-of-interpolation-in-nearest-neighbor-algorithms-1909.11720"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-modeling-of-deep-features-for-out-of-distribution-and-adversarial-detection-1909.11786</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-modeling-of-deep-features-for-out-of-distribution-and-adversarial-detection-1909.11786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-modeling-of-deep-features-for-out-of-distribution-and-adversarial-detection-1909.11786"/></url>
<url><loc>https://scifaro.com/en/abs/residual-networks-behave-like-boosting-algorithms-1909.11790</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/residual-networks-behave-like-boosting-algorithms-1909.11790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/residual-networks-behave-like-boosting-algorithms-1909.11790"/></url>
<url><loc>https://scifaro.com/en/abs/debiased-bayesian-inference-for-average-treatment-effects-1909.12078</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/debiased-bayesian-inference-for-average-treatment-effects-1909.12078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/debiased-bayesian-inference-for-average-treatment-effects-1909.12078"/></url>
<url><loc>https://scifaro.com/en/abs/data-smashing-2-0-sequence-likelihood-sl-divergence-for-fast-time-series-comparison-1909.12243</loc><lastmod>2019-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-smashing-2-0-sequence-likelihood-sl-divergence-for-fast-time-series-comparison-1909.12243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-smashing-2-0-sequence-likelihood-sl-divergence-for-fast-time-series-comparison-1909.12243"/></url>
<url><loc>https://scifaro.com/en/abs/learning-search-spaces-for-bayesian-optimization-another-view-of-hyperparameter-transfer-learning-1909.12552</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-search-spaces-for-bayesian-optimization-another-view-of-hyperparameter-transfer-learning-1909.12552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-search-spaces-for-bayesian-optimization-another-view-of-hyperparameter-transfer-learning-1909.12552"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparse-nonparametric-dags-1909.13189</loc><lastmod>2020-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparse-nonparametric-dags-1909.13189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparse-nonparametric-dags-1909.13189"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-vs-statistical-methods-for-time-series-forecasting-size-matters-1909.13316</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-vs-statistical-methods-for-time-series-forecasting-size-matters-1909.13316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-vs-statistical-methods-for-time-series-forecasting-size-matters-1909.13316"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-sgd-generalizes-well-under-asynchrony-1909.13391</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-sgd-generalizes-well-under-asynchrony-1909.13391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-sgd-generalizes-well-under-asynchrony-1909.13391"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-fitting-in-ambient-space-1909.13492</loc><lastmod>2022-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-fitting-in-ambient-space-1909.13492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-fitting-in-ambient-space-1909.13492"/></url>
<url><loc>https://scifaro.com/en/abs/a-quantile-based-approach-for-hyperparameter-transfer-learning-1909.13595</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-quantile-based-approach-for-hyperparameter-transfer-learning-1909.13595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-quantile-based-approach-for-hyperparameter-transfer-learning-1909.13595"/></url>
<url><loc>https://scifaro.com/en/abs/equivariant-hamiltonian-flows-1909.13739</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivariant-hamiltonian-flows-1909.13739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivariant-hamiltonian-flows-1909.13739"/></url>
<url><loc>https://scifaro.com/en/abs/deep-recurrent-gaussian-process-with-variational-sparse-spectrum-approximation-1909.13743</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-recurrent-gaussian-process-with-variational-sparse-spectrum-approximation-1909.13743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-recurrent-gaussian-process-with-variational-sparse-spectrum-approximation-1909.13743"/></url>
<url><loc>https://scifaro.com/en/abs/relaxing-bijectivity-constraints-with-continuously-indexed-normalising-flows-1909.13833</loc><lastmod>2021-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relaxing-bijectivity-constraints-with-continuously-indexed-normalising-flows-1909.13833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relaxing-bijectivity-constraints-with-continuously-indexed-normalising-flows-1909.13833"/></url>
<url><loc>https://scifaro.com/en/abs/non-gaussian-processes-and-neural-networks-at-finite-widths-1910.00019</loc><lastmod>2020-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-gaussian-processes-and-neural-networks-at-finite-widths-1910.00019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-gaussian-processes-and-neural-networks-at-finite-widths-1910.00019"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-voice-conversion-with-amortized-variational-inference-1910.00067</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-voice-conversion-with-amortized-variational-inference-1910.00067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-voice-conversion-with-amortized-variational-inference-1910.00067"/></url>
<url><loc>https://scifaro.com/en/abs/tightening-bounds-for-variational-inference-by-revisiting-perturbation-theory-1910.00069</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tightening-bounds-for-variational-inference-by-revisiting-perturbation-theory-1910.00069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tightening-bounds-for-variational-inference-by-revisiting-perturbation-theory-1910.00069"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-complexity-of-approximating-multimarginal-optimal-transport-1910.00152</loc><lastmod>2022-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-complexity-of-approximating-multimarginal-optimal-transport-1910.00152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-complexity-of-approximating-multimarginal-optimal-transport-1910.00152"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-with-high-correlation-features-1910.00164</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-with-high-correlation-features-1910.00164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-with-high-correlation-features-1910.00164"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-chemometric-and-non-translational-data-1910.00391</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-chemometric-and-non-translational-data-1910.00391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-chemometric-and-non-translational-data-1910.00391"/></url>
<url><loc>https://scifaro.com/en/abs/limit-theorems-for-out-of-sample-extensions-of-the-adjacency-and-laplacian-spectral-embeddings-1910.00423</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/limit-theorems-for-out-of-sample-extensions-of-the-adjacency-and-laplacian-spectral-embeddings-1910.00423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/limit-theorems-for-out-of-sample-extensions-of-the-adjacency-and-laplacian-spectral-embeddings-1910.00423"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-sampling-algorithm-for-non-smooth-composite-potentials-1910.00551</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-sampling-algorithm-for-non-smooth-composite-potentials-1910.00551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-sampling-algorithm-for-non-smooth-composite-potentials-1910.00551"/></url>
<url><loc>https://scifaro.com/en/abs/equivariant-flows-sampling-configurations-for-multi-body-systems-with-symmetric-energies-1910.00753</loc><lastmod>2019-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivariant-flows-sampling-configurations-for-multi-body-systems-with-symmetric-energies-1910.00753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivariant-flows-sampling-configurations-for-multi-body-systems-with-symmetric-energies-1910.00753"/></url>
<url><loc>https://scifaro.com/en/abs/how-does-topology-influence-gradient-propagation-and-model-performance-of-deep-networks-with-densenet-type-skip-connections-1910.00780</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-does-topology-influence-gradient-propagation-and-model-performance-of-deep-networks-with-densenet-type-skip-connections-1910.00780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-does-topology-influence-gradient-propagation-and-model-performance-of-deep-networks-with-densenet-type-skip-connections-1910.00780"/></url>
<url><loc>https://scifaro.com/en/abs/reconsidering-analytical-variational-bounds-for-output-layers-of-deep-networks-1910.00877</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconsidering-analytical-variational-bounds-for-output-layers-of-deep-networks-1910.00877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconsidering-analytical-variational-bounds-for-output-layers-of-deep-networks-1910.00877"/></url>
<url><loc>https://scifaro.com/en/abs/the-neural-moving-average-model-for-scalable-variational-inference-of-state-space-models-1910.00879</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-neural-moving-average-model-for-scalable-variational-inference-of-state-space-models-1910.00879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-neural-moving-average-model-for-scalable-variational-inference-of-state-space-models-1910.00879"/></url>
<url><loc>https://scifaro.com/en/abs/models-under-which-random-forests-perform-badly-consequences-for-applications-1910.00943</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/models-under-which-random-forests-perform-badly-consequences-for-applications-1910.00943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/models-under-which-random-forests-perform-badly-consequences-for-applications-1910.00943"/></url>
<url><loc>https://scifaro.com/en/abs/order-independent-structure-learning-of-multivariate-regression-chain-graphs-1910.01067</loc><lastmod>2019-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/order-independent-structure-learning-of-multivariate-regression-chain-graphs-1910.01067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/order-independent-structure-learning-of-multivariate-regression-chain-graphs-1910.01067"/></url>
<url><loc>https://scifaro.com/en/abs/learning-neural-causal-models-from-unknown-interventions-1910.01075</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-neural-causal-models-from-unknown-interventions-1910.01075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-neural-causal-models-from-unknown-interventions-1910.01075"/></url>
<url><loc>https://scifaro.com/en/abs/improving-differentially-private-models-with-active-learning-1910.01177</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-differentially-private-models-with-active-learning-1910.01177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-differentially-private-models-with-active-learning-1910.01177"/></url>
<url><loc>https://scifaro.com/en/abs/distillation-approx-early-stopping-harvesting-dark-knowledge-utilizing-anisotropic-information-retrieval-for-overparameterized-neural-network-1910.01255</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distillation-approx-early-stopping-harvesting-dark-knowledge-utilizing-anisotropic-information-retrieval-for-overparameterized-neural-network-1910.01255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distillation-approx-early-stopping-harvesting-dark-knowledge-utilizing-anisotropic-information-retrieval-for-overparameterized-neural-network-1910.01255"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-for-convolutional-neural-networks-1910.01487</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-for-convolutional-neural-networks-1910.01487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-for-convolutional-neural-networks-1910.01487"/></url>
<url><loc>https://scifaro.com/en/abs/causal-inference-with-bayes-rule-1910.01510</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-inference-with-bayes-rule-1910.01510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-inference-with-bayes-rule-1910.01510"/></url>
<url><loc>https://scifaro.com/en/abs/robust-risk-minimization-for-statistical-learning-1910.01544</loc><lastmod>2020-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-risk-minimization-for-statistical-learning-1910.01544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-risk-minimization-for-statistical-learning-1910.01544"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-for-materials-design-with-mixed-quantitative-and-qualitative-variables-1910.01688</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-for-materials-design-with-mixed-quantitative-and-qualitative-variables-1910.01688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-for-materials-design-with-mixed-quantitative-and-qualitative-variables-1910.01688"/></url>
<url><loc>https://scifaro.com/en/abs/dual-learning-algorithm-for-delayed-conversions-1910.01847</loc><lastmod>2020-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-learning-algorithm-for-delayed-conversions-1910.01847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-learning-algorithm-for-delayed-conversions-1910.01847"/></url>
<url><loc>https://scifaro.com/en/abs/multi-subject-meg-eeg-source-imaging-with-sparse-multi-task-regression-1910.01914</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-subject-meg-eeg-source-imaging-with-sparse-multi-task-regression-1910.01914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-subject-meg-eeg-source-imaging-with-sparse-multi-task-regression-1910.01914"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-popularity-adjusted-stochastic-block-model-1910.01931</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-popularity-adjusted-stochastic-block-model-1910.01931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-popularity-adjusted-stochastic-block-model-1910.01931"/></url>
<url><loc>https://scifaro.com/en/abs/fair-by-design-explainable-models-for-prediction-of-recidivism-1910.02043</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-by-design-explainable-models-for-prediction-of-recidivism-1910.02043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-by-design-explainable-models-for-prediction-of-recidivism-1910.02043"/></url>
<url><loc>https://scifaro.com/en/abs/simulations-evaluating-resampling-methods-for-causal-discovery-ensemble-performance-and-calibration-1910.02047</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulations-evaluating-resampling-methods-for-causal-discovery-ensemble-performance-and-calibration-1910.02047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulations-evaluating-resampling-methods-for-causal-discovery-ensemble-performance-and-calibration-1910.02047"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-examples-for-cost-sensitive-classifiers-1910.02095</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-examples-for-cost-sensitive-classifiers-1910.02095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-examples-for-cost-sensitive-classifiers-1910.02095"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-study-on-nonlinear-dimension-reduction-methods-with-kernel-variations-visualization-optimization-and-classification-1910.02114</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-study-on-nonlinear-dimension-reduction-methods-with-kernel-variations-visualization-optimization-and-classification-1910.02114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-study-on-nonlinear-dimension-reduction-methods-with-kernel-variations-visualization-optimization-and-classification-1910.02114"/></url>
<url><loc>https://scifaro.com/en/abs/akm-2-d-an-adaptive-framework-for-online-sensing-and-anomaly-quantification-1910.02119</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/akm-2-d-an-adaptive-framework-for-online-sensing-and-anomaly-quantification-1910.02119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/akm-2-d-an-adaptive-framework-for-online-sensing-and-anomaly-quantification-1910.02119"/></url>
<url><loc>https://scifaro.com/en/abs/the-role-of-neural-network-activation-functions-1910.02333</loc><lastmod>2020-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-neural-network-activation-functions-1910.02333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-neural-network-activation-functions-1910.02333"/></url>
<url><loc>https://scifaro.com/en/abs/mfegra-multifidelity-efficient-global-reliability-analysis-through-active-learning-for-failure-boundary-location-1910.02497</loc><lastmod>2024-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mfegra-multifidelity-efficient-global-reliability-analysis-through-active-learning-for-failure-boundary-location-1910.02497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mfegra-multifidelity-efficient-global-reliability-analysis-through-active-learning-for-failure-boundary-location-1910.02497"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-local-causal-discovery-in-high-dimensional-expression-data-1910.02505</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-local-causal-discovery-in-high-dimensional-expression-data-1910.02505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-local-causal-discovery-in-high-dimensional-expression-data-1910.02505"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-graphlets-and-deep-neural-networks-for-protein-structure-classification-1910.02594</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-graphlets-and-deep-neural-networks-for-protein-structure-classification-1910.02594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-graphlets-and-deep-neural-networks-for-protein-structure-classification-1910.02594"/></url>
<url><loc>https://scifaro.com/en/abs/an-algorithmic-inference-approach-to-learn-copulas-1910.02678</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-algorithmic-inference-approach-to-learn-copulas-1910.02678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-algorithmic-inference-approach-to-learn-copulas-1910.02678"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-deep-energy-based-memory-models-1910.02720</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-deep-energy-based-memory-models-1910.02720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-deep-energy-based-memory-models-1910.02720"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-bandits-with-delay-dependent-payoffs-1910.02757</loc><lastmod>2020-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-bandits-with-delay-dependent-payoffs-1910.02757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-bandits-with-delay-dependent-payoffs-1910.02757"/></url>
<url><loc>https://scifaro.com/en/abs/increasing-expressivity-of-a-hyperspherical-vae-1910.02912</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/increasing-expressivity-of-a-hyperspherical-vae-1910.02912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/increasing-expressivity-of-a-hyperspherical-vae-1910.02912"/></url>
<url><loc>https://scifaro.com/en/abs/the-universal-approximation-property-1910.03344</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-universal-approximation-property-1910.03344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-universal-approximation-property-1910.03344"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-density-models-with-truncation-boundaries-using-score-matching-1910.03834</loc><lastmod>2022-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-density-models-with-truncation-boundaries-using-score-matching-1910.03834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-density-models-with-truncation-boundaries-using-score-matching-1910.03834"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-alignments-optimal-transport-through-space-and-time-1910.03860</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-alignments-optimal-transport-through-space-and-time-1910.03860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-alignments-optimal-transport-through-space-and-time-1910.03860"/></url>
<url><loc>https://scifaro.com/en/abs/private-protocols-for-u-statistics-in-the-local-model-and-beyond-1910.03861</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-protocols-for-u-statistics-in-the-local-model-and-beyond-1910.03861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-protocols-for-u-statistics-in-the-local-model-and-beyond-1910.03861"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-sequential-matrix-factorization-1910.03906</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-sequential-matrix-factorization-1910.03906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-sequential-matrix-factorization-1910.03906"/></url>
<url><loc>https://scifaro.com/en/abs/new-and-explicit-constructions-of-unbalanced-ramanujan-bipartite-graphs-1910.03937</loc><lastmod>2020-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-and-explicit-constructions-of-unbalanced-ramanujan-bipartite-graphs-1910.03937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-and-explicit-constructions-of-unbalanced-ramanujan-bipartite-graphs-1910.03937"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-experimental-design-via-bayesian-optimization-active-causal-structure-learning-for-gaussian-process-networks-1910.03962</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-experimental-design-via-bayesian-optimization-active-causal-structure-learning-for-gaussian-process-networks-1910.03962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-experimental-design-via-bayesian-optimization-active-causal-structure-learning-for-gaussian-process-networks-1910.03962"/></url>
<url><loc>https://scifaro.com/en/abs/model-order-selection-based-on-information-theoretic-criteria-design-of-the-penalty-1910.03980</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-order-selection-based-on-information-theoretic-criteria-design-of-the-penalty-1910.03980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-order-selection-based-on-information-theoretic-criteria-design-of-the-penalty-1910.03980"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-regression-errors-without-ground-truth-values-1910.04069</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-regression-errors-without-ground-truth-values-1910.04069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-regression-errors-without-ground-truth-values-1910.04069"/></url>
<url><loc>https://scifaro.com/en/abs/the-area-of-the-convex-hull-of-sampled-curves-a-robust-functional-statistical-depth-measure-1910.04085</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-area-of-the-convex-hull-of-sampled-curves-a-robust-functional-statistical-depth-measure-1910.04085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-area-of-the-convex-hull-of-sampled-curves-a-robust-functional-statistical-depth-measure-1910.04085"/></url>
<url><loc>https://scifaro.com/en/abs/kernels-over-sets-of-finite-sets-using-rkhs-embeddings-with-application-to-bayesian-combinatorial-optimization-1910.04086</loc><lastmod>2020-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernels-over-sets-of-finite-sets-using-rkhs-embeddings-with-application-to-bayesian-combinatorial-optimization-1910.04086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernels-over-sets-of-finite-sets-using-rkhs-embeddings-with-application-to-bayesian-combinatorial-optimization-1910.04086"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-minibatch-wasserstein-asymptotic-and-gradient-properties-1910.04091</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-minibatch-wasserstein-asymptotic-and-gradient-properties-1910.04091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-minibatch-wasserstein-asymptotic-and-gradient-properties-1910.04091"/></url>
<url><loc>https://scifaro.com/en/abs/validated-variational-inference-via-practical-posterior-error-bounds-1910.04102</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/validated-variational-inference-via-practical-posterior-error-bounds-1910.04102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/validated-variational-inference-via-practical-posterior-error-bounds-1910.04102"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-training-of-fair-predictive-models-1910.04109</loc><lastmod>2022-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-training-of-fair-predictive-models-1910.04109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-training-of-fair-predictive-models-1910.04109"/></url>
<url><loc>https://scifaro.com/en/abs/active-ordinal-querying-for-tuplewise-similarity-learning-1910.04115</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-ordinal-querying-for-tuplewise-similarity-learning-1910.04115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-ordinal-querying-for-tuplewise-similarity-learning-1910.04115"/></url>
<url><loc>https://scifaro.com/en/abs/high-mutual-information-in-representation-learning-with-symmetric-variational-inference-1910.04153</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-mutual-information-in-representation-learning-with-symmetric-variational-inference-1910.04153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-mutual-information-in-representation-learning-with-symmetric-variational-inference-1910.04153"/></url>
<url><loc>https://scifaro.com/en/abs/robust-dynamic-assortment-optimization-in-the-presence-of-outlier-customers-1910.04183</loc><lastmod>2022-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-dynamic-assortment-optimization-in-the-presence-of-outlier-customers-1910.04183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-dynamic-assortment-optimization-in-the-presence-of-outlier-customers-1910.04183"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-based-approaches-for-sequence-modeling-connections-to-neural-methods-1910.04233</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-based-approaches-for-sequence-modeling-connections-to-neural-methods-1910.04233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-based-approaches-for-sequence-modeling-connections-to-neural-methods-1910.04233"/></url>
<url><loc>https://scifaro.com/en/abs/prescribed-generative-adversarial-networks-1910.04302</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prescribed-generative-adversarial-networks-1910.04302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prescribed-generative-adversarial-networks-1910.04302"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-indirect-observations-1910.04394</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-indirect-observations-1910.04394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-indirect-observations-1910.04394"/></url>
<url><loc>https://scifaro.com/en/abs/flow-based-alignment-approaches-for-probability-measures-in-different-spaces-1910.04462</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flow-based-alignment-approaches-for-probability-measures-in-different-spaces-1910.04462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flow-based-alignment-approaches-for-probability-measures-in-different-spaces-1910.04462"/></url>
<url><loc>https://scifaro.com/en/abs/tree-wasserstein-barycenter-for-large-scale-multilevel-clustering-and-scalable-bayes-1910.04483</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tree-wasserstein-barycenter-for-large-scale-multilevel-clustering-and-scalable-bayes-1910.04483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tree-wasserstein-barycenter-for-large-scale-multilevel-clustering-and-scalable-bayes-1910.04483"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-organized-ecommerce-fraud-using-scalable-categorical-clustering-1910.04514</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-organized-ecommerce-fraud-using-scalable-categorical-clustering-1910.04514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-organized-ecommerce-fraud-using-scalable-categorical-clustering-1910.04514"/></url>
<url><loc>https://scifaro.com/en/abs/duality-in-rkhss-with-infinite-dimensional-outputs-application-to-robust-losses-1910.04621</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/duality-in-rkhss-with-infinite-dimensional-outputs-application-to-robust-losses-1910.04621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/duality-in-rkhss-with-infinite-dimensional-outputs-application-to-robust-losses-1910.04621"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-multiple-corrupted-sources-with-application-to-learning-from-label-proportions-1910.04665</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-multiple-corrupted-sources-with-application-to-learning-from-label-proportions-1910.04665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-multiple-corrupted-sources-with-application-to-learning-from-label-proportions-1910.04665"/></url>
<url><loc>https://scifaro.com/en/abs/graph-spectral-embedding-for-parsimonious-transmission-of-multivariate-time-series-1910.04689</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-spectral-embedding-for-parsimonious-transmission-of-multivariate-time-series-1910.04689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-spectral-embedding-for-parsimonious-transmission-of-multivariate-time-series-1910.04689"/></url>
<url><loc>https://scifaro.com/en/abs/the-implicit-regularization-of-ordinary-least-squares-ensembles-1910.04743</loc><lastmod>2020-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-implicit-regularization-of-ordinary-least-squares-ensembles-1910.04743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-implicit-regularization-of-ordinary-least-squares-ensembles-1910.04743"/></url>
<url><loc>https://scifaro.com/en/abs/learning-interaction-kernels-in-heterogeneous-systems-of-agents-from-multiple-trajectories-1910.04832</loc><lastmod>2020-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-interaction-kernels-in-heterogeneous-systems-of-agents-from-multiple-trajectories-1910.04832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-interaction-kernels-in-heterogeneous-systems-of-agents-from-multiple-trajectories-1910.04832"/></url>
<url><loc>https://scifaro.com/en/abs/regret-analysis-of-bandit-problems-with-causal-background-knowledge-1910.04938</loc><lastmod>2020-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-analysis-of-bandit-problems-with-causal-background-knowledge-1910.04938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-analysis-of-bandit-problems-with-causal-background-knowledge-1910.04938"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-reduced-rank-regression-for-simultaneous-rank-and-variable-selection-via-manifold-optimization-1910.05083</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-reduced-rank-regression-for-simultaneous-rank-and-variable-selection-via-manifold-optimization-1910.05083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-reduced-rank-regression-for-simultaneous-rank-and-variable-selection-via-manifold-optimization-1910.05083"/></url>
<url><loc>https://scifaro.com/en/abs/abcdp-approximate-bayesian-computation-with-differential-privacy-1910.05103</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/abcdp-approximate-bayesian-computation-with-differential-privacy-1910.05103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/abcdp-approximate-bayesian-computation-with-differential-privacy-1910.05103"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-limits-of-pipeline-parallel-optimization-and-application-to-distributed-deep-learning-1910.05104</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-limits-of-pipeline-parallel-optimization-and-application-to-distributed-deep-learning-1910.05104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-limits-of-pipeline-parallel-optimization-and-application-to-distributed-deep-learning-1910.05104"/></url>
<url><loc>https://scifaro.com/en/abs/nls-an-accurate-and-yet-easy-to-interpret-regression-method-1910.05206</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nls-an-accurate-and-yet-easy-to-interpret-regression-method-1910.05206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nls-an-accurate-and-yet-easy-to-interpret-regression-method-1910.05206"/></url>
<url><loc>https://scifaro.com/en/abs/not-all-are-made-equal-consistency-of-weighted-averaging-estimators-under-active-learning-1910.05321</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/not-all-are-made-equal-consistency-of-weighted-averaging-estimators-under-active-learning-1910.05321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/not-all-are-made-equal-consistency-of-weighted-averaging-estimators-under-active-learning-1910.05321"/></url>
<url><loc>https://scifaro.com/en/abs/roweis-discriminant-analysis-a-generalized-subspace-learning-method-1910.05437</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/roweis-discriminant-analysis-a-generalized-subspace-learning-method-1910.05437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/roweis-discriminant-analysis-a-generalized-subspace-learning-method-1910.05437"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-using-pseudo-points-1910.05484</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-using-pseudo-points-1910.05484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-using-pseudo-points-1910.05484"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-embedding-of-weighted-graphs-1910.05534</loc><lastmod>2023-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-embedding-of-weighted-graphs-1910.05534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-embedding-of-weighted-graphs-1910.05534"/></url>
<url><loc>https://scifaro.com/en/abs/what-you-see-may-not-be-what-you-get-ucb-bandit-algorithms-robust-to-epsilon-contamination-1910.05625</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-you-see-may-not-be-what-you-get-ucb-bandit-algorithms-robust-to-epsilon-contamination-1910.05625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-you-see-may-not-be-what-you-get-ucb-bandit-algorithms-robust-to-epsilon-contamination-1910.05625"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-neural-decoding-using-a-diversity-encouraging-latent-representation-learning-method-1910.05695</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-neural-decoding-using-a-diversity-encouraging-latent-representation-learning-method-1910.05695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-neural-decoding-using-a-diversity-encouraging-latent-representation-learning-method-1910.05695"/></url>
<url><loc>https://scifaro.com/en/abs/if-dropout-limits-trainable-depth-does-critical-initialisation-still-matter-a-large-scale-statistical-analysis-on-relu-networks-1910.05725</loc><lastmod>2020-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/if-dropout-limits-trainable-depth-does-critical-initialisation-still-matter-a-large-scale-statistical-analysis-on-relu-networks-1910.05725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/if-dropout-limits-trainable-depth-does-critical-initialisation-still-matter-a-large-scale-statistical-analysis-on-relu-networks-1910.05725"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-a-sparse-set-of-pairwise-discriminating-features-in-high-dimensional-data-1910.05814</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-a-sparse-set-of-pairwise-discriminating-features-in-high-dimensional-data-1910.05814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-a-sparse-set-of-pairwise-discriminating-features-in-high-dimensional-data-1910.05814"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-sparse-gaussian-processes-1910.05843</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-sparse-gaussian-processes-1910.05843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-sparse-gaussian-processes-1910.05843"/></url>
<url><loc>https://scifaro.com/en/abs/quantitative-stability-of-optimal-transport-maps-and-linearization-of-the-2-wasserstein-space-1910.05954</loc><lastmod>2022-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantitative-stability-of-optimal-transport-maps-and-linearization-of-the-2-wasserstein-space-1910.05954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantitative-stability-of-optimal-transport-maps-and-linearization-of-the-2-wasserstein-space-1910.05954"/></url>
<url><loc>https://scifaro.com/en/abs/pathological-spectra-of-the-fisher-information-metric-and-its-variants-in-deep-neural-networks-1910.05992</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pathological-spectra-of-the-fisher-information-metric-and-its-variants-in-deep-neural-networks-1910.05992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pathological-spectra-of-the-fisher-information-metric-and-its-variants-in-deep-neural-networks-1910.05992"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-clustering-from-noisy-binary-feedback-1910.06002</loc><lastmod>2024-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-clustering-from-noisy-binary-feedback-1910.06002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-clustering-from-noisy-binary-feedback-1910.06002"/></url>
<url><loc>https://scifaro.com/en/abs/batch-simulations-and-uncertainty-quantification-in-gaussian-process-surrogate-approximate-bayesian-computation-1910.06121</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-simulations-and-uncertainty-quantification-in-gaussian-process-surrogate-approximate-bayesian-computation-1910.06121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-simulations-and-uncertainty-quantification-in-gaussian-process-surrogate-approximate-bayesian-computation-1910.06121"/></url>
<url><loc>https://scifaro.com/en/abs/variational-tracking-and-prediction-with-generative-disentangled-state-space-models-1910.06205</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-tracking-and-prediction-with-generative-disentangled-state-space-models-1910.06205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-tracking-and-prediction-with-generative-disentangled-state-space-models-1910.06205"/></url>
<url><loc>https://scifaro.com/en/abs/two-sample-testing-using-deep-learning-1910.06239</loc><lastmod>2020-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-sample-testing-using-deep-learning-1910.06239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-sample-testing-using-deep-learning-1910.06239"/></url>
<url><loc>https://scifaro.com/en/abs/introducing-an-explicit-symplectic-integration-scheme-for-riemannian-manifold-hamiltonian-monte-carlo-1910.06243</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introducing-an-explicit-symplectic-integration-scheme-for-riemannian-manifold-hamiltonian-monte-carlo-1910.06243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introducing-an-explicit-symplectic-integration-scheme-for-riemannian-manifold-hamiltonian-monte-carlo-1910.06243"/></url>
<url><loc>https://scifaro.com/en/abs/asymmetric-shapley-values-incorporating-causal-knowledge-into-model-agnostic-explainability-1910.06358</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymmetric-shapley-values-incorporating-causal-knowledge-into-model-agnostic-explainability-1910.06358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymmetric-shapley-values-incorporating-causal-knowledge-into-model-agnostic-explainability-1910.06358"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-temporal-factorization-for-multidimensional-time-series-prediction-1910.06366</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-temporal-factorization-for-multidimensional-time-series-prediction-1910.06366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-temporal-factorization-for-multidimensional-time-series-prediction-1910.06366"/></url>
<url><loc>https://scifaro.com/en/abs/challenges-in-markov-chain-monte-carlo-for-bayesian-neural-networks-1910.06539</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/challenges-in-markov-chain-monte-carlo-for-bayesian-neural-networks-1910.06539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/challenges-in-markov-chain-monte-carlo-for-bayesian-neural-networks-1910.06539"/></url>
<url><loc>https://scifaro.com/en/abs/improved-generalization-bounds-of-group-invariant-equivariant-deep-networks-via-quotient-feature-spaces-1910.06552</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-generalization-bounds-of-group-invariant-equivariant-deep-networks-via-quotient-feature-spaces-1910.06552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-generalization-bounds-of-group-invariant-equivariant-deep-networks-via-quotient-feature-spaces-1910.06552"/></url>
<url><loc>https://scifaro.com/en/abs/a-single-scalable-lstm-model-for-short-term-forecasting-of-disaggregated-electricity-loads-1910.06640</loc><lastmod>2020-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-single-scalable-lstm-model-for-short-term-forecasting-of-disaggregated-electricity-loads-1910.06640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-single-scalable-lstm-model-for-short-term-forecasting-of-disaggregated-electricity-loads-1910.06640"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-and-discrete-time-survival-prediction-with-neural-networks-1910.06724</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-and-discrete-time-survival-prediction-with-neural-networks-1910.06724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-and-discrete-time-survival-prediction-with-neural-networks-1910.06724"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-diagnosis-1910.06772</loc><lastmod>2020-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-diagnosis-1910.06772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-diagnosis-1910.06772"/></url>
<url><loc>https://scifaro.com/en/abs/discriminator-optimal-transport-1910.06832</loc><lastmod>2023-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminator-optimal-transport-1910.06832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminator-optimal-transport-1910.06832"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sample-specific-models-with-low-rank-personalized-regression-1910.06939</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sample-specific-models-with-low-rank-personalized-regression-1910.06939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sample-specific-models-with-low-rank-personalized-regression-1910.06939"/></url>
<url><loc>https://scifaro.com/en/abs/the-renyi-gaussian-process-towards-improved-generalization-1910.06990</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-renyi-gaussian-process-towards-improved-generalization-1910.06990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-renyi-gaussian-process-towards-improved-generalization-1910.06990"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-bayesian-optimization-with-max-value-entropy-search-1910.07003</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-bayesian-optimization-with-max-value-entropy-search-1910.07003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-bayesian-optimization-with-max-value-entropy-search-1910.07003"/></url>
<url><loc>https://scifaro.com/en/abs/parametric-gaussian-process-regressors-1910.07123</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parametric-gaussian-process-regressors-1910.07123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parametric-gaussian-process-regressors-1910.07123"/></url>
<url><loc>https://scifaro.com/en/abs/generative-learning-of-counterfactual-for-synthetic-control-applications-in-econometrics-1910.07178</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-learning-of-counterfactual-for-synthetic-control-applications-in-econometrics-1910.07178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-learning-of-counterfactual-for-synthetic-control-applications-in-econometrics-1910.07178"/></url>
<url><loc>https://scifaro.com/en/abs/towards-resolving-propensity-contradiction-in-offline-recommender-learning-1910.07295</loc><lastmod>2022-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-resolving-propensity-contradiction-in-offline-recommender-learning-1910.07295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-resolving-propensity-contradiction-in-offline-recommender-learning-1910.07295"/></url>
<url><loc>https://scifaro.com/en/abs/the-blessings-of-multiple-causes-a-reply-to-ogburn-et-al-2019-1910.07320</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-blessings-of-multiple-causes-a-reply-to-ogburn-et-al-2019-1910.07320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-blessings-of-multiple-causes-a-reply-to-ogburn-et-al-2019-1910.07320"/></url>
<url><loc>https://scifaro.com/en/abs/excess-risk-bounds-in-robust-empirical-risk-minimization-1910.07485</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/excess-risk-bounds-in-robust-empirical-risk-minimization-1910.07485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/excess-risk-bounds-in-robust-empirical-risk-minimization-1910.07485"/></url>
<url><loc>https://scifaro.com/en/abs/learning-energy-based-models-in-high-dimensional-spaces-with-multi-scale-denoising-score-matching-1910.07762</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-energy-based-models-in-high-dimensional-spaces-with-multi-scale-denoising-score-matching-1910.07762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-energy-based-models-in-high-dimensional-spaces-with-multi-scale-denoising-score-matching-1910.07762"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-robustness-to-aleatoric-uncertainty-with-heteroscedastic-bayesian-optimisation-1910.07779</loc><lastmod>2022-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-robustness-to-aleatoric-uncertainty-with-heteroscedastic-bayesian-optimisation-1910.07779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-robustness-to-aleatoric-uncertainty-with-heteroscedastic-bayesian-optimisation-1910.07779"/></url>
<url><loc>https://scifaro.com/en/abs/is-there-a-trade-off-between-fairness-and-accuracy-a-perspective-using-mismatched-hypothesis-testing-1910.07870</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-there-a-trade-off-between-fairness-and-accuracy-a-perspective-using-mismatched-hypothesis-testing-1910.07870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-there-a-trade-off-between-fairness-and-accuracy-a-perspective-using-mismatched-hypothesis-testing-1910.07870"/></url>
<url><loc>https://scifaro.com/en/abs/faster-feature-selection-with-a-dropping-forward-backward-algorithm-1910.08007</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-feature-selection-with-a-dropping-forward-backward-algorithm-1910.08007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-feature-selection-with-a-dropping-forward-backward-algorithm-1910.08007"/></url>
<url><loc>https://scifaro.com/en/abs/why-bigger-is-not-always-better-on-finite-and-infinite-neural-networks-1910.08013</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-bigger-is-not-always-better-on-finite-and-infinite-neural-networks-1910.08013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-bigger-is-not-always-better-on-finite-and-infinite-neural-networks-1910.08013"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-for-tuning-hyperparameters-in-clustering-problems-1910.08018</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-for-tuning-hyperparameters-in-clustering-problems-1910.08018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-for-tuning-hyperparameters-in-clustering-problems-1910.08018"/></url>
<url><loc>https://scifaro.com/en/abs/notes-on-margin-training-and-margin-p-values-for-deep-neural-network-classifiers-1910.08032</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/notes-on-margin-training-and-margin-p-values-for-deep-neural-network-classifiers-1910.08032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/notes-on-margin-training-and-margin-p-values-for-deep-neural-network-classifiers-1910.08032"/></url>
<url><loc>https://scifaro.com/en/abs/multi-level-conformal-clustering-a-distribution-free-technique-for-clustering-and-anomaly-detection-1910.08105</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-level-conformal-clustering-a-distribution-free-technique-for-clustering-and-anomaly-detection-1910.08105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-level-conformal-clustering-a-distribution-free-technique-for-clustering-and-anomaly-detection-1910.08105"/></url>
<url><loc>https://scifaro.com/en/abs/robust-modal-regression-with-direct-log-density-derivative-estimation-1910.08280</loc><lastmod>2019-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-modal-regression-with-direct-log-density-derivative-estimation-1910.08280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-modal-regression-with-direct-log-density-derivative-estimation-1910.08280"/></url>
<url><loc>https://scifaro.com/en/abs/federated-generative-privacy-1910.08385</loc><lastmod>2019-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-generative-privacy-1910.08385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-generative-privacy-1910.08385"/></url>
<url><loc>https://scifaro.com/en/abs/identification-of-model-uncertainty-via-optimal-design-of-experiments-applied-to-a-mechanical-press-1910.08408</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identification-of-model-uncertainty-via-optimal-design-of-experiments-applied-to-a-mechanical-press-1910.08408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identification-of-model-uncertainty-via-optimal-design-of-experiments-applied-to-a-mechanical-press-1910.08408"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-treatment-for-coronary-artery-disease-patients-a-machine-learning-approach-1910.08483</loc><lastmod>2019-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-treatment-for-coronary-artery-disease-patients-a-machine-learning-approach-1910.08483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-treatment-for-coronary-artery-disease-patients-a-machine-learning-approach-1910.08483"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-spherical-objects-based-on-the-form-function-of-acoustic-echoes-1910.08501</loc><lastmod>2019-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-spherical-objects-based-on-the-form-function-of-acoustic-echoes-1910.08501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-spherical-objects-based-on-the-form-function-of-acoustic-echoes-1910.08501"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-piece-wise-constant-graph-structure-of-a-varying-ising-model-1910.08512</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-piece-wise-constant-graph-structure-of-a-varying-ising-model-1910.08512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-piece-wise-constant-graph-structure-of-a-varying-ising-model-1910.08512"/></url>
<url><loc>https://scifaro.com/en/abs/robust-learning-rate-selection-for-stochastic-optimization-via-splitting-diagnostic-1910.08597</loc><lastmod>2024-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-learning-rate-selection-for-stochastic-optimization-via-splitting-diagnostic-1910.08597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-learning-rate-selection-for-stochastic-optimization-via-splitting-diagnostic-1910.08597"/></url>
<url><loc>https://scifaro.com/en/abs/measurement-dependence-inducing-latent-causal-models-1910.08778</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measurement-dependence-inducing-latent-causal-models-1910.08778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measurement-dependence-inducing-latent-causal-models-1910.08778"/></url>
<url><loc>https://scifaro.com/en/abs/rank-aggregation-for-non-stationary-data-streams-1910.08795</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rank-aggregation-for-non-stationary-data-streams-1910.08795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rank-aggregation-for-non-stationary-data-streams-1910.08795"/></url>
<url><loc>https://scifaro.com/en/abs/kernels-of-mallows-models-under-the-hamming-distance-for-solving-the-quadratic-assignment-problem-1910.08800</loc><lastmod>2022-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernels-of-mallows-models-under-the-hamming-distance-for-solving-the-quadratic-assignment-problem-1910.08800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernels-of-mallows-models-under-the-hamming-distance-for-solving-the-quadratic-assignment-problem-1910.08800"/></url>
<url><loc>https://scifaro.com/en/abs/improved-error-rates-for-sparse-group-learning-with-lipschitz-loss-functions-1910.08880</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-error-rates-for-sparse-group-learning-with-lipschitz-loss-functions-1910.08880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-error-rates-for-sparse-group-learning-with-lipschitz-loss-functions-1910.08880"/></url>
<url><loc>https://scifaro.com/en/abs/universally-consistent-k-sample-tests-via-dependence-measures-1910.08883</loc><lastmod>2024-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universally-consistent-k-sample-tests-via-dependence-measures-1910.08883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universally-consistent-k-sample-tests-via-dependence-measures-1910.08883"/></url>
<url><loc>https://scifaro.com/en/abs/hv-block-cross-validation-is-not-a-bibd-a-note-on-the-paper-by-jeff-racine-2000-1910.08904</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hv-block-cross-validation-is-not-a-bibd-a-note-on-the-paper-by-jeff-racine-2000-1910.08904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hv-block-cross-validation-is-not-a-bibd-a-note-on-the-paper-by-jeff-racine-2000-1910.08904"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-regression-generative-adversarial-networks-for-non-linear-regression-theory-and-assessment-1910.09106</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-regression-generative-adversarial-networks-for-non-linear-regression-theory-and-assessment-1910.09106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-regression-generative-adversarial-networks-for-non-linear-regression-theory-and-assessment-1910.09106"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-local-decentralized-sgd-methods-1910.09126</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-local-decentralized-sgd-methods-1910.09126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-local-decentralized-sgd-methods-1910.09126"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-adversarial-anomaly-detection-for-one-class-event-data-1910.09161</loc><lastmod>2023-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-adversarial-anomaly-detection-for-one-class-event-data-1910.09161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-adversarial-anomaly-detection-for-one-class-event-data-1910.09161"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-allowing-for-common-random-numbers-1910.09259</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-allowing-for-common-random-numbers-1910.09259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-allowing-for-common-random-numbers-1910.09259"/></url>
<url><loc>https://scifaro.com/en/abs/variational-integrator-networks-for-physically-structured-embeddings-1910.09349</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-integrator-networks-for-physically-structured-embeddings-1910.09349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-integrator-networks-for-physically-structured-embeddings-1910.09349"/></url>
<url><loc>https://scifaro.com/en/abs/generalised-learning-of-time-series-ornstein-uhlenbeck-processes-1910.09394</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalised-learning-of-time-series-ornstein-uhlenbeck-processes-1910.09394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalised-learning-of-time-series-ornstein-uhlenbeck-processes-1910.09394"/></url>
<url><loc>https://scifaro.com/en/abs/towards-better-healthcare-what-could-and-should-be-automated-1910.09444</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-better-healthcare-what-could-and-should-be-automated-1910.09444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-better-healthcare-what-could-and-should-be-automated-1910.09444"/></url>
<url><loc>https://scifaro.com/en/abs/multi-resolution-weak-supervision-for-sequential-data-1910.09505</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-resolution-weak-supervision-for-sequential-data-1910.09505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-resolution-weak-supervision-for-sequential-data-1910.09505"/></url>
<url><loc>https://scifaro.com/en/abs/kernelized-wasserstein-natural-gradient-1910.09652</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernelized-wasserstein-natural-gradient-1910.09652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernelized-wasserstein-natural-gradient-1910.09652"/></url>
<url><loc>https://scifaro.com/en/abs/direct-estimation-of-differential-functional-graphical-models-1910.09701</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/direct-estimation-of-differential-functional-graphical-models-1910.09701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/direct-estimation-of-differential-functional-graphical-models-1910.09701"/></url>
<url><loc>https://scifaro.com/en/abs/embedded-bayesian-network-classifiers-1910.09715</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embedded-bayesian-network-classifiers-1910.09715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embedded-bayesian-network-classifiers-1910.09715"/></url>
<url><loc>https://scifaro.com/en/abs/orthogonal-nonnegative-tucker-decomposition-1910.09979</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthogonal-nonnegative-tucker-decomposition-1910.09979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthogonal-nonnegative-tucker-decomposition-1910.09979"/></url>
<url><loc>https://scifaro.com/en/abs/compressive-learning-for-semi-parametric-models-1910.10024</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressive-learning-for-semi-parametric-models-1910.10024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressive-learning-for-semi-parametric-models-1910.10024"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-quantification-with-generative-models-1910.10046</loc><lastmod>2019-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-quantification-with-generative-models-1910.10046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-quantification-with-generative-models-1910.10046"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-for-infinite-hierarchical-change-point-detection-1910.10087</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-for-infinite-hierarchical-change-point-detection-1910.10087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-for-infinite-hierarchical-change-point-detection-1910.10087"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-directed-causal-discovery-to-detect-latent-common-causes-1910.10174</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-directed-causal-discovery-to-detect-latent-common-causes-1910.10174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-directed-causal-discovery-to-detect-latent-common-causes-1910.10174"/></url>
<url><loc>https://scifaro.com/en/abs/global-capacity-measures-for-deep-relu-networks-via-path-sampling-1910.10245</loc><lastmod>2019-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-capacity-measures-for-deep-relu-networks-via-path-sampling-1910.10245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-capacity-measures-for-deep-relu-networks-via-path-sampling-1910.10245"/></url>
<url><loc>https://scifaro.com/en/abs/unifying-variational-inference-and-pac-bayes-for-supervised-learning-that-scales-1910.10367</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unifying-variational-inference-and-pac-bayes-for-supervised-learning-that-scales-1910.10367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unifying-variational-inference-and-pac-bayes-for-supervised-learning-that-scales-1910.10367"/></url>
<url><loc>https://scifaro.com/en/abs/neural-execution-of-graph-algorithms-1910.10593</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-execution-of-graph-algorithms-1910.10593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-execution-of-graph-algorithms-1910.10593"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-orthogonal-variational-inference-for-gaussian-processes-1910.10596</loc><lastmod>2024-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-orthogonal-variational-inference-for-gaussian-processes-1910.10596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-orthogonal-variational-inference-for-gaussian-processes-1910.10596"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-scent-learning-generalizable-perceptual-representations-of-small-molecules-1910.10685</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-scent-learning-generalizable-perceptual-representations-of-small-molecules-1910.10685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-scent-learning-generalizable-perceptual-representations-of-small-molecules-1910.10685"/></url>
<url><loc>https://scifaro.com/en/abs/deterministic-tensor-completion-with-hypergraph-expanders-1910.10692</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deterministic-tensor-completion-with-hypergraph-expanders-1910.10692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deterministic-tensor-completion-with-hypergraph-expanders-1910.10692"/></url>
<url><loc>https://scifaro.com/en/abs/functional-tensors-for-probabilistic-programming-1910.10775</loc><lastmod>2020-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-tensors-for-probabilistic-programming-1910.10775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-tensors-for-probabilistic-programming-1910.10775"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-empirical-bayesian-method-for-sparse-deep-learning-1910.10791</loc><lastmod>2020-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-empirical-bayesian-method-for-sparse-deep-learning-1910.10791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-empirical-bayesian-method-for-sparse-deep-learning-1910.10791"/></url>
<url><loc>https://scifaro.com/en/abs/structure-learning-of-gaussian-markov-random-fields-with-false-discovery-rate-control-1910.10860</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-learning-of-gaussian-markov-random-fields-with-false-discovery-rate-control-1910.10860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-learning-of-gaussian-markov-random-fields-with-false-discovery-rate-control-1910.10860"/></url>
<url><loc>https://scifaro.com/en/abs/online-boosting-for-multilabel-ranking-with-top-k-feedback-1910.10937</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-boosting-for-multilabel-ranking-with-top-k-feedback-1910.10937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-boosting-for-multilabel-ranking-with-top-k-feedback-1910.10937"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-with-the-average-silhouette-width-1910.11339</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-with-the-average-silhouette-width-1910.11339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-with-the-average-silhouette-width-1910.11339"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-overlapping-datasets-using-bivariate-causal-discovery-1910.11356</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-overlapping-datasets-using-bivariate-causal-discovery-1910.11356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-overlapping-datasets-using-bivariate-causal-discovery-1910.11356"/></url>
<url><loc>https://scifaro.com/en/abs/structured-prediction-with-projection-oracles-1910.11369</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-prediction-with-projection-oracles-1910.11369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-prediction-with-projection-oracles-1910.11369"/></url>
<url><loc>https://scifaro.com/en/abs/robust-principal-component-analysis-based-on-maximum-correntropy-power-iterations-1910.11374</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-principal-component-analysis-based-on-maximum-correntropy-power-iterations-1910.11374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-principal-component-analysis-based-on-maximum-correntropy-power-iterations-1910.11374"/></url>
<url><loc>https://scifaro.com/en/abs/calibration-tests-in-multi-class-classification-a-unifying-framework-1910.11385</loc><lastmod>2022-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibration-tests-in-multi-class-classification-a-unifying-framework-1910.11385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibration-tests-in-multi-class-classification-a-unifying-framework-1910.11385"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-space-time-clustering-using-persistent-homology-1910.11525</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-space-time-clustering-using-persistent-homology-1910.11525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-space-time-clustering-using-persistent-homology-1910.11525"/></url>
<url><loc>https://scifaro.com/en/abs/online-gaussian-lda-for-unsupervised-pattern-mining-from-utility-usage-data-1910.11599</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-gaussian-lda-for-unsupervised-pattern-mining-from-utility-usage-data-1910.11599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-gaussian-lda-for-unsupervised-pattern-mining-from-utility-usage-data-1910.11599"/></url>
<url><loc>https://scifaro.com/en/abs/towards-robust-and-stable-deep-learning-algorithms-for-forward-backward-stochastic-differential-equations-1910.11623</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-robust-and-stable-deep-learning-algorithms-for-forward-backward-stochastic-differential-equations-1910.11623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-robust-and-stable-deep-learning-algorithms-for-forward-backward-stochastic-differential-equations-1910.11623"/></url>
<url><loc>https://scifaro.com/en/abs/bias-variance-tradeoff-in-a-sliding-window-implementation-of-the-stochastic-gradient-algorithm-1910.11868</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bias-variance-tradeoff-in-a-sliding-window-implementation-of-the-stochastic-gradient-algorithm-1910.11868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bias-variance-tradeoff-in-a-sliding-window-implementation-of-the-stochastic-gradient-algorithm-1910.11868"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-experimental-design-for-finding-reliable-level-set-under-input-uncertainty-1910.12043</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-experimental-design-for-finding-reliable-level-set-under-input-uncertainty-1910.12043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-experimental-design-for-finding-reliable-level-set-under-input-uncertainty-1910.12043"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-quantifying-adversarial-examples-existence-in-linear-classification-1910.12163</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-quantifying-adversarial-examples-existence-in-linear-classification-1910.12163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-quantifying-adversarial-examples-existence-in-linear-classification-1910.12163"/></url>
<url><loc>https://scifaro.com/en/abs/prior-specification-for-bayesian-matrix-factorization-via-prior-predictive-matching-1910.12263</loc><lastmod>2023-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prior-specification-for-bayesian-matrix-factorization-via-prior-predictive-matching-1910.12263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prior-specification-for-bayesian-matrix-factorization-via-prior-predictive-matching-1910.12263"/></url>
<url><loc>https://scifaro.com/en/abs/dual-instrumental-variable-regression-1910.12358</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-instrumental-variable-regression-1910.12358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-instrumental-variable-regression-1910.12358"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-expectation-propagation-1910.12360</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-expectation-propagation-1910.12360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-expectation-propagation-1910.12360"/></url>
<url><loc>https://scifaro.com/en/abs/distance-approximation-using-isolation-forests-1910.12362</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distance-approximation-using-isolation-forests-1910.12362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distance-approximation-using-isolation-forests-1910.12362"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-sampling-for-estimating-multiple-probability-distributions-1910.12406</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-sampling-for-estimating-multiple-probability-distributions-1910.12406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-sampling-for-estimating-multiple-probability-distributions-1910.12406"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-global-convergence-of-fast-incremental-expectation-maximization-methods-1910.12521</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-global-convergence-of-fast-incremental-expectation-maximization-methods-1910.12521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-global-convergence-of-fast-incremental-expectation-maximization-methods-1910.12521"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-of-bayesian-posteriors-with-a-non-gaussian-probabilistic-learning-on-manifolds-from-a-small-dataset-1910.12717</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-of-bayesian-posteriors-with-a-non-gaussian-probabilistic-learning-on-manifolds-from-a-small-dataset-1910.12717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-of-bayesian-posteriors-with-a-non-gaussian-probabilistic-learning-on-manifolds-from-a-small-dataset-1910.12717"/></url>
<url><loc>https://scifaro.com/en/abs/on-approximating-nabla-f-with-neural-networks-1910.12744</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-approximating-nabla-f-with-neural-networks-1910.12744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-approximating-nabla-f-with-neural-networks-1910.12744"/></url>
<url><loc>https://scifaro.com/en/abs/missing-not-at-random-in-matrix-completion-the-effectiveness-of-estimating-missingness-probabilities-under-a-low-nuclear-norm-assumption-1910.12774</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/missing-not-at-random-in-matrix-completion-the-effectiveness-of-estimating-missingness-probabilities-under-a-low-nuclear-norm-assumption-1910.12774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/missing-not-at-random-in-matrix-completion-the-effectiveness-of-estimating-missingness-probabilities-under-a-low-nuclear-norm-assumption-1910.12774"/></url>
<url><loc>https://scifaro.com/en/abs/stein-variational-gradient-descent-with-matrix-valued-kernels-1910.12794</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stein-variational-gradient-descent-with-matrix-valued-kernels-1910.12794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stein-variational-gradient-descent-with-matrix-valued-kernels-1910.12794"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-is-adaptive-to-intrinsic-dimensionality-of-model-smoothness-in-anisotropic-besov-space-1910.12799</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-is-adaptive-to-intrinsic-dimensionality-of-model-smoothness-in-anisotropic-besov-space-1910.12799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-is-adaptive-to-intrinsic-dimensionality-of-model-smoothness-in-anisotropic-besov-space-1910.12799"/></url>
<url><loc>https://scifaro.com/en/abs/better-exploration-with-optimistic-actor-critic-1910.12807</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/better-exploration-with-optimistic-actor-critic-1910.12807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/better-exploration-with-optimistic-actor-critic-1910.12807"/></url>
<url><loc>https://scifaro.com/en/abs/online-stochastic-gradient-descent-with-arbitrary-initialization-solves-non-smooth-non-convex-phase-retrieval-1910.12837</loc><lastmod>2023-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-stochastic-gradient-descent-with-arbitrary-initialization-solves-non-smooth-non-convex-phase-retrieval-1910.12837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-stochastic-gradient-descent-with-arbitrary-initialization-solves-non-smooth-non-convex-phase-retrieval-1910.12837"/></url>
<url><loc>https://scifaro.com/en/abs/improved-differentially-private-decentralized-source-separation-for-fmri-data-1910.12913</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-differentially-private-decentralized-source-separation-for-fmri-data-1910.12913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-differentially-private-decentralized-source-separation-for-fmri-data-1910.12913"/></url>
<url><loc>https://scifaro.com/en/abs/harnessing-the-power-of-topological-data-analysis-to-detect-change-points-in-time-series-1910.12939</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/harnessing-the-power-of-topological-data-analysis-to-detect-change-points-in-time-series-1910.12939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/harnessing-the-power-of-topological-data-analysis-to-detect-change-points-in-time-series-1910.12939"/></url>
<url><loc>https://scifaro.com/en/abs/fundamental-limits-of-deep-graph-convolutional-networks-1910.12954</loc><lastmod>2020-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fundamental-limits-of-deep-graph-convolutional-networks-1910.12954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fundamental-limits-of-deep-graph-convolutional-networks-1910.12954"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-quantile-classifier-1910.12960</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-quantile-classifier-1910.12960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-quantile-classifier-1910.12960"/></url>
<url><loc>https://scifaro.com/en/abs/poisson-randomized-gamma-dynamical-systems-1910.12991</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poisson-randomized-gamma-dynamical-systems-1910.12991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poisson-randomized-gamma-dynamical-systems-1910.12991"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-with-unknown-search-space-1910.13092</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-with-unknown-search-space-1910.13092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-with-unknown-search-space-1910.13092"/></url>
<url><loc>https://scifaro.com/en/abs/minimal-variance-sampling-in-stochastic-gradient-boosting-1910.13204</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimal-variance-sampling-in-stochastic-gradient-boosting-1910.13204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimal-variance-sampling-in-stochastic-gradient-boosting-1910.13204"/></url>
<url><loc>https://scifaro.com/en/abs/neural-density-estimation-and-likelihood-free-inference-1910.13233</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-density-estimation-and-likelihood-free-inference-1910.13233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-density-estimation-and-likelihood-free-inference-1910.13233"/></url>
<url><loc>https://scifaro.com/en/abs/divide-conquer-and-combine-a-new-inference-strategy-for-probabilistic-programs-with-stochastic-support-1910.13324</loc><lastmod>2020-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/divide-conquer-and-combine-a-new-inference-strategy-for-probabilistic-programs-with-stochastic-support-1910.13324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/divide-conquer-and-combine-a-new-inference-strategy-for-probabilistic-programs-with-stochastic-support-1910.13324"/></url>
<url><loc>https://scifaro.com/en/abs/how-much-can-we-see-a-note-on-quantifying-explainability-of-machine-learning-models-1910.13376</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-much-can-we-see-a-note-on-quantifying-explainability-of-machine-learning-models-1910.13376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-much-can-we-see-a-note-on-quantifying-explainability-of-machine-learning-models-1910.13376"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparse-distributions-using-iterative-hard-thresholding-1910.13389</loc><lastmod>2020-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparse-distributions-using-iterative-hard-thresholding-1910.13389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparse-distributions-using-iterative-hard-thresholding-1910.13389"/></url>
<url><loc>https://scifaro.com/en/abs/stein-s-lemma-for-the-reparameterization-trick-with-exponential-family-mixtures-1910.13398</loc><lastmod>2025-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stein-s-lemma-for-the-reparameterization-trick-with-exponential-family-mixtures-1910.13398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stein-s-lemma-for-the-reparameterization-trick-with-exponential-family-mixtures-1910.13398"/></url>
<url><loc>https://scifaro.com/en/abs/model-enhancement-and-personalization-using-weakly-supervised-learning-for-multi-modal-mobile-sensing-1910.13401</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-enhancement-and-personalization-using-weakly-supervised-learning-for-multi-modal-mobile-sensing-1910.13401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-enhancement-and-personalization-using-weakly-supervised-learning-for-multi-modal-mobile-sensing-1910.13401"/></url>
<url><loc>https://scifaro.com/en/abs/feature-relevance-quantification-in-explainable-ai-a-causal-problem-1910.13413</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-relevance-quantification-in-explainable-ai-a-causal-problem-1910.13413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-relevance-quantification-in-explainable-ai-a-causal-problem-1910.13413"/></url>
<url><loc>https://scifaro.com/en/abs/deep-integro-difference-equation-models-for-spatio-temporal-forecasting-1910.13524</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-integro-difference-equation-models-for-spatio-temporal-forecasting-1910.13524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-integro-difference-equation-models-for-spatio-temporal-forecasting-1910.13524"/></url>
<url><loc>https://scifaro.com/en/abs/small-gan-speeding-up-gan-training-using-core-sets-1910.13540</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/small-gan-speeding-up-gan-training-using-core-sets-1910.13540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/small-gan-speeding-up-gan-training-using-core-sets-1910.13540"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-conditional-neural-processes-1910.13556</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-conditional-neural-processes-1910.13556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-conditional-neural-processes-1910.13556"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-via-local-uncertainty-1910.13673</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-via-local-uncertainty-1910.13673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-via-local-uncertainty-1910.13673"/></url>
<url><loc>https://scifaro.com/en/abs/learning-pairwise-markov-network-structures-using-correlation-neighborhoods-1910.13832</loc><lastmod>2025-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-pairwise-markov-network-structures-using-correlation-neighborhoods-1910.13832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-pairwise-markov-network-structures-using-correlation-neighborhoods-1910.13832"/></url>
<url><loc>https://scifaro.com/en/abs/distilling-black-box-travel-mode-choice-model-for-behavioral-interpretation-1910.13930</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distilling-black-box-travel-mode-choice-model-for-behavioral-interpretation-1910.13930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distilling-black-box-travel-mode-choice-model-for-behavioral-interpretation-1910.13930"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-inference-approach-to-facial-attractiveness-1910.14072</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-inference-approach-to-facial-attractiveness-1910.14072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-inference-approach-to-facial-attractiveness-1910.14072"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-under-and-overfitting-in-wasserstein-generative-adversarial-networks-1910.14137</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-under-and-overfitting-in-wasserstein-generative-adversarial-networks-1910.14137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-under-and-overfitting-in-wasserstein-generative-adversarial-networks-1910.14137"/></url>
<url><loc>https://scifaro.com/en/abs/learn-by-calibrating-using-calibration-as-a-training-objective-1910.14175</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learn-by-calibrating-using-calibration-as-a-training-objective-1910.14175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learn-by-calibrating-using-calibration-as-a-training-objective-1910.14175"/></url>
<url><loc>https://scifaro.com/en/abs/heteroscedastic-calibration-of-uncertainty-estimators-in-deep-learning-1910.14179</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heteroscedastic-calibration-of-uncertainty-estimators-in-deep-learning-1910.14179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heteroscedastic-calibration-of-uncertainty-estimators-in-deep-learning-1910.14179"/></url>
<url><loc>https://scifaro.com/en/abs/sparq-sgd-event-triggered-and-compressed-communication-in-decentralized-stochastic-optimization-1910.14280</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparq-sgd-event-triggered-and-compressed-communication-in-decentralized-stochastic-optimization-1910.14280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparq-sgd-event-triggered-and-compressed-communication-in-decentralized-stochastic-optimization-1910.14280"/></url>
<url><loc>https://scifaro.com/en/abs/recovering-bandits-1910.14354</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovering-bandits-1910.14354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovering-bandits-1910.14354"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-of-data-and-label-shift-in-the-lime-framework-1910.14421</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-of-data-and-label-shift-in-the-lime-framework-1910.14421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-of-data-and-label-shift-in-the-lime-framework-1910.14421"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-guided-training-of-implicit-generative-models-with-stability-guarantees-1910.14428</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-guided-training-of-implicit-generative-models-with-stability-guarantees-1910.14428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-guided-training-of-implicit-generative-models-with-stability-guarantees-1910.14428"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-certifiable-robustness-via-a-deep-model-ensemble-1910.14655</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-certifiable-robustness-via-a-deep-model-ensemble-1910.14655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-certifiable-robustness-via-a-deep-model-ensemble-1910.14655"/></url>
<url><loc>https://scifaro.com/en/abs/continual-multi-task-gaussian-processes-1911.00002</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-multi-task-gaussian-processes-1911.00002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-multi-task-gaussian-processes-1911.00002"/></url>
<url><loc>https://scifaro.com/en/abs/confident-learning-estimating-uncertainty-in-dataset-labels-1911.00068</loc><lastmod>2022-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confident-learning-estimating-uncertainty-in-dataset-labels-1911.00068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confident-learning-estimating-uncertainty-in-dataset-labels-1911.00068"/></url>
<url><loc>https://scifaro.com/en/abs/integrated-clustering-and-anomaly-detection-incad-for-streaming-data-revised-1911.00184</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrated-clustering-and-anomaly-detection-incad-for-streaming-data-revised-1911.00184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrated-clustering-and-anomaly-detection-incad-for-streaming-data-revised-1911.00184"/></url>
<url><loc>https://scifaro.com/en/abs/randomization-as-regularization-a-degrees-of-freedom-explanation-for-random-forest-success-1911.00190</loc><lastmod>2020-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomization-as-regularization-a-degrees-of-freedom-explanation-for-random-forest-success-1911.00190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomization-as-regularization-a-degrees-of-freedom-explanation-for-random-forest-success-1911.00190"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-model-aggregation-via-parameter-matching-1911.00218</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-model-aggregation-via-parameter-matching-1911.00218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-model-aggregation-via-parameter-matching-1911.00218"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-stochastic-gradient-approach-to-designing-bayesian-optimal-experiments-1911.00294</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-stochastic-gradient-approach-to-designing-bayesian-optimal-experiments-1911.00294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-stochastic-gradient-approach-to-designing-bayesian-optimal-experiments-1911.00294"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-expert-networks-for-meta-learning-1911.00348</loc><lastmod>2020-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-expert-networks-for-meta-learning-1911.00348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-expert-networks-for-meta-learning-1911.00348"/></url>
<url><loc>https://scifaro.com/en/abs/global-adaptive-generative-adjustment-1911.00658</loc><lastmod>2022-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-adaptive-generative-adjustment-1911.00658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-adaptive-generative-adjustment-1911.00658"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-vaes-for-collaborative-filtering-flexible-priors-gating-mechanisms-1911.00936</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-vaes-for-collaborative-filtering-flexible-priors-gating-mechanisms-1911.00936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-vaes-for-collaborative-filtering-flexible-priors-gating-mechanisms-1911.00936"/></url>
<url><loc>https://scifaro.com/en/abs/seasonally-adjusted-auto-regression-of-vector-time-series-1911.01010</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seasonally-adjusted-auto-regression-of-vector-time-series-1911.01010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seasonally-adjusted-auto-regression-of-vector-time-series-1911.01010"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-consistency-of-loss-calibrated-variational-bayes-1911.01288</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-consistency-of-loss-calibrated-variational-bayes-1911.01288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-consistency-of-loss-calibrated-variational-bayes-1911.01288"/></url>
<url><loc>https://scifaro.com/en/abs/framework-for-inferring-following-strategies-from-time-series-of-movement-data-1911.01366</loc><lastmod>2020-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/framework-for-inferring-following-strategies-from-time-series-of-movement-data-1911.01366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/framework-for-inferring-following-strategies-from-time-series-of-movement-data-1911.01366"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-based-adaptive-markov-chain-monte-carlo-1911.01373</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-based-adaptive-markov-chain-monte-carlo-1911.01373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-based-adaptive-markov-chain-monte-carlo-1911.01373"/></url>
<url><loc>https://scifaro.com/en/abs/amortized-population-gibbs-samplers-with-neural-sufficient-statistics-1911.01382</loc><lastmod>2020-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amortized-population-gibbs-samplers-with-neural-sufficient-statistics-1911.01382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amortized-population-gibbs-samplers-with-neural-sufficient-statistics-1911.01382"/></url>
<url><loc>https://scifaro.com/en/abs/improved-bigan-training-with-marginal-likelihood-equalization-1911.01425</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-bigan-training-with-marginal-likelihood-equalization-1911.01425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-bigan-training-with-marginal-likelihood-equalization-1911.01425"/></url>
<url><loc>https://scifaro.com/en/abs/the-frontier-of-simulation-based-inference-1911.01429</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-frontier-of-simulation-based-inference-1911.01429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-frontier-of-simulation-based-inference-1911.01429"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-langevin-algorithm-rapid-convergence-under-isoperimetry-1911.01469</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-langevin-algorithm-rapid-convergence-under-isoperimetry-1911.01469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-langevin-algorithm-rapid-convergence-under-isoperimetry-1911.01469"/></url>
<url><loc>https://scifaro.com/en/abs/on-constructing-confidence-region-for-model-parameters-in-stochastic-gradient-descent-via-batch-means-1911.01483</loc><lastmod>2020-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-constructing-confidence-region-for-model-parameters-in-stochastic-gradient-descent-via-batch-means-1911.01483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-constructing-confidence-region-for-model-parameters-in-stochastic-gradient-descent-via-batch-means-1911.01483"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-deep-generative-relational-models-with-high-order-node-dependence-1911.01535</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-deep-generative-relational-models-with-high-order-node-dependence-1911.01535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-deep-generative-relational-models-with-high-order-node-dependence-1911.01535"/></url>
<url><loc>https://scifaro.com/en/abs/gp-alps-automatic-latent-process-selection-for-multi-output-gaussian-process-models-1911.01929</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gp-alps-automatic-latent-process-selection-for-multi-output-gaussian-process-models-1911.01929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gp-alps-automatic-latent-process-selection-for-multi-output-gaussian-process-models-1911.01929"/></url>
<url><loc>https://scifaro.com/en/abs/an-alternative-probabilistic-interpretation-of-the-huber-loss-1911.02088</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-alternative-probabilistic-interpretation-of-the-huber-loss-1911.02088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-alternative-probabilistic-interpretation-of-the-huber-loss-1911.02088"/></url>
<url><loc>https://scifaro.com/en/abs/designing-over-uncertain-outcomes-with-stochastic-sampling-bayesian-optimization-1911.02106</loc><lastmod>2020-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/designing-over-uncertain-outcomes-with-stochastic-sampling-bayesian-optimization-1911.02106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/designing-over-uncertain-outcomes-with-stochastic-sampling-bayesian-optimization-1911.02106"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-generalization-bounds-for-sgld-via-data-dependent-estimates-1911.02151</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-generalization-bounds-for-sgld-via-data-dependent-estimates-1911.02151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-generalization-bounds-for-sgld-via-data-dependent-estimates-1911.02151"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-markov-processes-with-structural-causal-modeling-enables-counterfactual-inference-in-complex-systems-1911.02175</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-markov-processes-with-structural-causal-modeling-enables-counterfactual-inference-in-complex-systems-1911.02175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-markov-processes-with-structural-causal-modeling-enables-counterfactual-inference-in-complex-systems-1911.02175"/></url>
<url><loc>https://scifaro.com/en/abs/invariance-and-identifiability-issues-for-word-embeddings-1911.02656</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invariance-and-identifiability-issues-for-word-embeddings-1911.02656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invariance-and-identifiability-issues-for-word-embeddings-1911.02656"/></url>
<url><loc>https://scifaro.com/en/abs/auto-encoding-brain-networks-with-applications-to-analyzing-large-scale-brain-imaging-datasets-1911.02728</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auto-encoding-brain-networks-with-applications-to-analyzing-large-scale-brain-imaging-datasets-1911.02728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auto-encoding-brain-networks-with-applications-to-analyzing-large-scale-brain-imaging-datasets-1911.02728"/></url>
<url><loc>https://scifaro.com/en/abs/confidence-intervals-for-policy-evaluation-in-adaptive-experiments-1911.02768</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidence-intervals-for-policy-evaluation-in-adaptive-experiments-1911.02768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidence-intervals-for-policy-evaluation-in-adaptive-experiments-1911.02768"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-method-using-gaussian-random-fields-for-boilerplate-removal-in-web-browsers-1911.02991</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-method-using-gaussian-random-fields-for-boilerplate-removal-in-web-browsers-1911.02991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-method-using-gaussian-random-fields-for-boilerplate-removal-in-web-browsers-1911.02991"/></url>
<url><loc>https://scifaro.com/en/abs/is-a-classification-procedure-good-enough-a-goodness-of-fit-assessment-tool-for-classification-learning-1911.03063</loc><lastmod>2022-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-a-classification-procedure-good-enough-a-goodness-of-fit-assessment-tool-for-classification-learning-1911.03063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-a-classification-procedure-good-enough-a-goodness-of-fit-assessment-tool-for-classification-learning-1911.03063"/></url>
<url><loc>https://scifaro.com/en/abs/ground-metric-learning-on-graphs-1911.03117</loc><lastmod>2020-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ground-metric-learning-on-graphs-1911.03117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ground-metric-learning-on-graphs-1911.03117"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-the-frontier-active-learning-model-accuracy-and-multi-objective-materials-discovery-and-optimization-1911.03224</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-the-frontier-active-learning-model-accuracy-and-multi-objective-materials-discovery-and-optimization-1911.03224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-the-frontier-active-learning-model-accuracy-and-multi-objective-materials-discovery-and-optimization-1911.03224"/></url>
<url><loc>https://scifaro.com/en/abs/imperceptible-adversarial-attacks-on-tabular-data-1911.03274</loc><lastmod>2019-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imperceptible-adversarial-attacks-on-tabular-data-1911.03274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imperceptible-adversarial-attacks-on-tabular-data-1911.03274"/></url>
<url><loc>https://scifaro.com/en/abs/subspace-clustering-with-active-learning-1911.03299</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subspace-clustering-with-active-learning-1911.03299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subspace-clustering-with-active-learning-1911.03299"/></url>
<url><loc>https://scifaro.com/en/abs/deep-transfer-learning-for-thermal-dynamics-modeling-in-smart-buildings-1911.03318</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-transfer-learning-for-thermal-dynamics-modeling-in-smart-buildings-1911.03318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-transfer-learning-for-thermal-dynamics-modeling-in-smart-buildings-1911.03318"/></url>
<url><loc>https://scifaro.com/en/abs/variational-mixture-of-experts-autoencoders-for-multi-modal-deep-generative-models-1911.03393</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-mixture-of-experts-autoencoders-for-multi-modal-deep-generative-models-1911.03393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-mixture-of-experts-autoencoders-for-multi-modal-deep-generative-models-1911.03393"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-guarantees-for-model-auditing-with-finite-adversaries-1911.03405</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-guarantees-for-model-auditing-with-finite-adversaries-1911.03405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-guarantees-for-model-auditing-with-finite-adversaries-1911.03405"/></url>
<url><loc>https://scifaro.com/en/abs/variance-reduced-stochastic-proximal-algorithm-for-auc-maximization-1911.03548</loc><lastmod>2020-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-reduced-stochastic-proximal-algorithm-for-auc-maximization-1911.03548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-reduced-stochastic-proximal-algorithm-for-auc-maximization-1911.03548"/></url>
<url><loc>https://scifaro.com/en/abs/degrees-of-freedom-for-off-the-grid-sparse-estimation-1911.03577</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/degrees-of-freedom-for-off-the-grid-sparse-estimation-1911.03577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/degrees-of-freedom-for-off-the-grid-sparse-estimation-1911.03577"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-active-learning-for-structured-output-design-1911.03671</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-active-learning-for-structured-output-design-1911.03671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-active-learning-for-structured-output-design-1911.03671"/></url>
<url><loc>https://scifaro.com/en/abs/information-bottleneck-theory-on-convolutional-neural-networks-1911.03722</loc><lastmod>2021-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-bottleneck-theory-on-convolutional-neural-networks-1911.03722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-bottleneck-theory-on-convolutional-neural-networks-1911.03722"/></url>
<url><loc>https://scifaro.com/en/abs/islet-fast-and-optimal-low-rank-tensor-regression-via-importance-sketching-1911.03804</loc><lastmod>2020-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/islet-fast-and-optimal-low-rank-tensor-regression-via-importance-sketching-1911.03804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/islet-fast-and-optimal-low-rank-tensor-regression-via-importance-sketching-1911.03804"/></url>
<url><loc>https://scifaro.com/en/abs/multi-armed-bandits-with-correlated-arms-1911.03959</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-armed-bandits-with-correlated-arms-1911.03959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-armed-bandits-with-correlated-arms-1911.03959"/></url>
<url><loc>https://scifaro.com/en/abs/multidataset-independent-subspace-analysis-with-application-to-multimodal-fusion-1911.04048</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multidataset-independent-subspace-analysis-with-application-to-multimodal-fusion-1911.04048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multidataset-independent-subspace-analysis-with-application-to-multimodal-fusion-1911.04048"/></url>
<url><loc>https://scifaro.com/en/abs/lmlfm-longitudinal-multi-level-factorization-machine-1911.04062</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lmlfm-longitudinal-multi-level-factorization-machine-1911.04062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lmlfm-longitudinal-multi-level-factorization-machine-1911.04062"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-boosts-the-approximate-vanishing-ideal-1911.04174</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-boosts-the-approximate-vanishing-ideal-1911.04174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-boosts-the-approximate-vanishing-ideal-1911.04174"/></url>
<url><loc>https://scifaro.com/en/abs/map-clustering-under-the-gaussian-mixture-model-via-mixed-integer-nonlinear-optimization-1911.04285</loc><lastmod>2020-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/map-clustering-under-the-gaussian-mixture-model-via-mixed-integer-nonlinear-optimization-1911.04285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/map-clustering-under-the-gaussian-mixture-model-via-mixed-integer-nonlinear-optimization-1911.04285"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-dependence-regularizers-and-gaussian-processes-with-applications-to-algorithmic-fairness-1911.04322</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-dependence-regularizers-and-gaussian-processes-with-applications-to-algorithmic-fairness-1911.04322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-dependence-regularizers-and-gaussian-processes-with-applications-to-algorithmic-fairness-1911.04322"/></url>
<url><loc>https://scifaro.com/en/abs/stronger-convergence-results-for-deep-residual-networks-network-width-scales-linearly-with-training-data-size-1911.04351</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stronger-convergence-results-for-deep-residual-networks-network-width-scales-linearly-with-training-data-size-1911.04351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stronger-convergence-results-for-deep-residual-networks-network-width-scales-linearly-with-training-data-size-1911.04351"/></url>
<url><loc>https://scifaro.com/en/abs/fault-detection-and-identification-using-bayesian-recurrent-neural-networks-1911.04386</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fault-detection-and-identification-using-bayesian-recurrent-neural-networks-1911.04386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fault-detection-and-identification-using-bayesian-recurrent-neural-networks-1911.04386"/></url>
<url><loc>https://scifaro.com/en/abs/item-response-theory-based-ensemble-in-machine-learning-1911.04616</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/item-response-theory-based-ensemble-in-machine-learning-1911.04616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/item-response-theory-based-ensemble-in-machine-learning-1911.04616"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-forecasting-of-solar-irradiance-without-local-telemetry-a-generalized-model-using-satellite-data-1911.04932</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-forecasting-of-solar-irradiance-without-local-telemetry-a-generalized-model-using-satellite-data-1911.04932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-forecasting-of-solar-irradiance-without-local-telemetry-a-generalized-model-using-satellite-data-1911.04932"/></url>
<url><loc>https://scifaro.com/en/abs/impact-of-narrow-lanes-on-arterial-road-vehicle-crashes-a-machine-learning-approach-1911.04954</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/impact-of-narrow-lanes-on-arterial-road-vehicle-crashes-a-machine-learning-approach-1911.04954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/impact-of-narrow-lanes-on-arterial-road-vehicle-crashes-a-machine-learning-approach-1911.04954"/></url>
<url><loc>https://scifaro.com/en/abs/the-bias-expressivity-trade-off-1911.04964</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-bias-expressivity-trade-off-1911.04964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-bias-expressivity-trade-off-1911.04964"/></url>
<url><loc>https://scifaro.com/en/abs/purifying-interaction-effects-with-the-functional-anova-an-efficient-algorithm-for-recovering-identifiable-additive-models-1911.04974</loc><lastmod>2020-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/purifying-interaction-effects-with-the-functional-anova-an-efficient-algorithm-for-recovering-identifiable-additive-models-1911.04974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/purifying-interaction-effects-with-the-functional-anova-an-efficient-algorithm-for-recovering-identifiable-additive-models-1911.04974"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-estimation-via-ell-q-optimization-method-in-high-dimensional-linear-regression-1911.05073</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-estimation-via-ell-q-optimization-method-in-high-dimensional-linear-regression-1911.05073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-estimation-via-ell-q-optimization-method-in-high-dimensional-linear-regression-1911.05073"/></url>
<url><loc>https://scifaro.com/en/abs/harmonic-mean-point-processes-proportional-rate-error-minimization-for-obtundation-prediction-1911.05109</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/harmonic-mean-point-processes-proportional-rate-error-minimization-for-obtundation-prediction-1911.05109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/harmonic-mean-point-processes-proportional-rate-error-minimization-for-obtundation-prediction-1911.05109"/></url>
<url><loc>https://scifaro.com/en/abs/nonconvex-stochastic-nested-optimization-via-stochastic-admm-1911.05167</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonconvex-stochastic-nested-optimization-via-stochastic-admm-1911.05167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonconvex-stochastic-nested-optimization-via-stochastic-admm-1911.05167"/></url>
<url><loc>https://scifaro.com/en/abs/exponential-convergence-rates-of-classification-errors-on-learning-with-sgd-and-random-features-1911.05350</loc><lastmod>2022-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-convergence-rates-of-classification-errors-on-learning-with-sgd-and-random-features-1911.05350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-convergence-rates-of-classification-errors-on-learning-with-sgd-and-random-features-1911.05350"/></url>
<url><loc>https://scifaro.com/en/abs/a-model-of-double-descent-for-high-dimensional-binary-linear-classification-1911.05822</loc><lastmod>2020-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-model-of-double-descent-for-high-dimensional-binary-linear-classification-1911.05822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-model-of-double-descent-for-high-dimensional-binary-linear-classification-1911.05822"/></url>
<url><loc>https://scifaro.com/en/abs/multi-attribute-bayesian-optimization-with-interactive-preference-learning-1911.05934</loc><lastmod>2020-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-attribute-bayesian-optimization-with-interactive-preference-learning-1911.05934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-attribute-bayesian-optimization-with-interactive-preference-learning-1911.05934"/></url>
<url><loc>https://scifaro.com/en/abs/distributional-clustering-a-distribution-preserving-clustering-method-1911.05940</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributional-clustering-a-distribution-preserving-clustering-method-1911.05940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributional-clustering-a-distribution-preserving-clustering-method-1911.05940"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-the-fiber-laydown-quality-in-spunbond-processes-with-simulation-experiments-evaluated-by-blocked-neural-networks-1911.06213</loc><lastmod>2020-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-the-fiber-laydown-quality-in-spunbond-processes-with-simulation-experiments-evaluated-by-blocked-neural-networks-1911.06213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-the-fiber-laydown-quality-in-spunbond-processes-with-simulation-experiments-evaluated-by-blocked-neural-networks-1911.06213"/></url>
<url><loc>https://scifaro.com/en/abs/unreliable-multi-armed-bandits-a-novel-approach-to-recommendation-systems-1911.06239</loc><lastmod>2024-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unreliable-multi-armed-bandits-a-novel-approach-to-recommendation-systems-1911.06239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unreliable-multi-armed-bandits-a-novel-approach-to-recommendation-systems-1911.06239"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-graph-neural-networks-with-generalized-geometric-scattering-transforms-1911.06253</loc><lastmod>2023-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-graph-neural-networks-with-generalized-geometric-scattering-transforms-1911.06253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-graph-neural-networks-with-generalized-geometric-scattering-transforms-1911.06253"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-exact-inference-in-multi-output-gaussian-processes-1911.06287</loc><lastmod>2020-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-exact-inference-in-multi-output-gaussian-processes-1911.06287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-exact-inference-in-multi-output-gaussian-processes-1911.06287"/></url>
<url><loc>https://scifaro.com/en/abs/solving-inverse-problems-by-joint-posterior-maximization-with-a-vae-prior-1911.06379</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-inverse-problems-by-joint-posterior-maximization-with-a-vae-prior-1911.06379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-inverse-problems-by-joint-posterior-maximization-with-a-vae-prior-1911.06379"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-assignment-for-out-of-distribution-inputs-in-deep-generative-models-is-sensitive-to-prior-distribution-choice-1911.06515</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-assignment-for-out-of-distribution-inputs-in-deep-generative-models-is-sensitive-to-prior-distribution-choice-1911.06515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-assignment-for-out-of-distribution-inputs-in-deep-generative-models-is-sensitive-to-prior-distribution-choice-1911.06515"/></url>
<url><loc>https://scifaro.com/en/abs/imputing-missing-values-with-unsupervised-random-trees-1911.06646</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imputing-missing-values-with-unsupervised-random-trees-1911.06646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imputing-missing-values-with-unsupervised-random-trees-1911.06646"/></url>
<url><loc>https://scifaro.com/en/abs/fair-data-adaptation-with-quantile-preservation-1911.06685</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-data-adaptation-with-quantile-preservation-1911.06685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-data-adaptation-with-quantile-preservation-1911.06685"/></url>
<url><loc>https://scifaro.com/en/abs/defending-against-model-stealing-attacks-with-adaptive-misinformation-1911.07100</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defending-against-model-stealing-attacks-with-adaptive-misinformation-1911.07100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defending-against-model-stealing-attacks-with-adaptive-misinformation-1911.07100"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-construction-of-gaussian-process-surrogate-models-for-bayesian-inference-1911.07227</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-construction-of-gaussian-process-surrogate-models-for-bayesian-inference-1911.07227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-construction-of-gaussian-process-surrogate-models-for-bayesian-inference-1911.07227"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-annealed-importance-sampling-for-efficient-online-marginal-likelihood-estimation-1911.07337</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-annealed-importance-sampling-for-efficient-online-marginal-likelihood-estimation-1911.07337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-annealed-importance-sampling-for-efficient-online-marginal-likelihood-estimation-1911.07337"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-time-series-classification-functional-data-vs-machine-learning-approaches-1911.07511</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-time-series-classification-functional-data-vs-machine-learning-approaches-1911.07511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-time-series-classification-functional-data-vs-machine-learning-approaches-1911.07511"/></url>
<url><loc>https://scifaro.com/en/abs/variational-mean-field-theory-for-training-restricted-boltzmann-machines-with-binary-synapses-1911.07662</loc><lastmod>2020-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-mean-field-theory-for-training-restricted-boltzmann-machines-with-binary-synapses-1911.07662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-mean-field-theory-for-training-restricted-boltzmann-machines-with-binary-synapses-1911.07662"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-good-feature-representations-in-bandits-and-in-rl-with-a-generative-model-1911.07676</loc><lastmod>2020-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-good-feature-representations-in-bandits-and-in-rl-with-a-generative-model-1911.07676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-good-feature-representations-in-bandits-and-in-rl-with-a-generative-model-1911.07676"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-heuristic-for-bayesian-optimization-with-a-low-budget-1911.07790</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-heuristic-for-bayesian-optimization-with-a-low-budget-1911.07790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-heuristic-for-bayesian-optimization-with-a-low-budget-1911.07790"/></url>
<url><loc>https://scifaro.com/en/abs/simvae-simulator-assisted-training-forinterpretable-generative-models-1911.08051</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simvae-simulator-assisted-training-forinterpretable-generative-models-1911.08051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simvae-simulator-assisted-training-forinterpretable-generative-models-1911.08051"/></url>
<url><loc>https://scifaro.com/en/abs/learning-weighted-submanifolds-with-variational-autoencoders-and-riemannian-variational-autoencoders-1911.08147</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-weighted-submanifolds-with-variational-autoencoders-and-riemannian-variational-autoencoders-1911.08147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-weighted-submanifolds-with-variational-autoencoders-and-riemannian-variational-autoencoders-1911.08147"/></url>
<url><loc>https://scifaro.com/en/abs/deep-unsupervised-clustering-with-clustered-generator-model-1911.08459</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-unsupervised-clustering-with-clustered-generator-model-1911.08459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-unsupervised-clustering-with-clustered-generator-model-1911.08459"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-sparse-convex-clustering-via-global-local-shrinkage-priors-1911.08703</loc><lastmod>2020-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-sparse-convex-clustering-via-global-local-shrinkage-priors-1911.08703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-sparse-convex-clustering-via-global-local-shrinkage-priors-1911.08703"/></url>
<url><loc>https://scifaro.com/en/abs/additive-bayesian-network-modelling-with-the-r-package-abn-1911.09006</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/additive-bayesian-network-modelling-with-the-r-package-abn-1911.09006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/additive-bayesian-network-modelling-with-the-r-package-abn-1911.09006"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-interpretation-of-sgd-as-ito-process-1911.09011</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-interpretation-of-sgd-as-ito-process-1911.09011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-interpretation-of-sgd-as-ito-process-1911.09011"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-with-local-search-1911.09159</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-with-local-search-1911.09159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-with-local-search-1911.09159"/></url>
<url><loc>https://scifaro.com/en/abs/random-machines-a-bagged-weighted-support-vector-model-with-free-kernel-choice-1911.09411</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-machines-a-bagged-weighted-support-vector-model-with-free-kernel-choice-1911.09411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-machines-a-bagged-weighted-support-vector-model-with-free-kernel-choice-1911.09411"/></url>
<url><loc>https://scifaro.com/en/abs/safe-linear-stochastic-bandits-1911.09501</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-linear-stochastic-bandits-1911.09501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-linear-stochastic-bandits-1911.09501"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-with-adaptive-weights-claw-1911.09514</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-with-adaptive-weights-claw-1911.09514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-with-adaptive-weights-claw-1911.09514"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-uncertainty-of-earthquake-rupture-using-bayesian-neural-network-1911.09660</loc><lastmod>2023-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-uncertainty-of-earthquake-rupture-using-bayesian-neural-network-1911.09660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-uncertainty-of-earthquake-rupture-using-bayesian-neural-network-1911.09660"/></url>
<url><loc>https://scifaro.com/en/abs/evan-neuromorphic-event-based-anomaly-detection-1911.09722</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evan-neuromorphic-event-based-anomaly-detection-1911.09722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evan-neuromorphic-event-based-anomaly-detection-1911.09722"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-confidence-bounds-for-reinforcement-learning-1911.09724</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-confidence-bounds-for-reinforcement-learning-1911.09724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-confidence-bounds-for-reinforcement-learning-1911.09724"/></url>
<url><loc>https://scifaro.com/en/abs/a-fully-natural-gradient-scheme-for-improving-inference-of-the-heterogeneous-multi-output-gaussian-process-model-1911.10225</loc><lastmod>2020-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fully-natural-gradient-scheme-for-improving-inference-of-the-heterogeneous-multi-output-gaussian-process-model-1911.10225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fully-natural-gradient-scheme-for-improving-inference-of-the-heterogeneous-multi-output-gaussian-process-model-1911.10225"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-approximation-for-smoothing-spline-via-eigensystem-truncation-1911.10434</loc><lastmod>2020-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-approximation-for-smoothing-spline-via-eigensystem-truncation-1911.10434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-approximation-for-smoothing-spline-via-eigensystem-truncation-1911.10434"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-and-smooth-double-core-tensor-factorization-for-heterogeneous-data-1911.10454</loc><lastmod>2022-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-and-smooth-double-core-tensor-factorization-for-heterogeneous-data-1911.10454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-and-smooth-double-core-tensor-factorization-for-heterogeneous-data-1911.10454"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-federated-variational-inference-1911.10563</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-federated-variational-inference-1911.10563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-federated-variational-inference-1911.10563"/></url>
<url><loc>https://scifaro.com/en/abs/trajectory-growth-lower-bounds-for-random-sparse-deep-relu-networks-1911.10651</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trajectory-growth-lower-bounds-for-random-sparse-deep-relu-networks-1911.10651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trajectory-growth-lower-bounds-for-random-sparse-deep-relu-networks-1911.10651"/></url>
<url><loc>https://scifaro.com/en/abs/lung-cancer-detection-and-classification-based-on-image-processing-and-statistical-learning-1911.10654</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lung-cancer-detection-and-classification-based-on-image-processing-and-statistical-learning-1911.10654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lung-cancer-detection-and-classification-based-on-image-processing-and-statistical-learning-1911.10654"/></url>
<url><loc>https://scifaro.com/en/abs/improvement-of-batch-normalization-in-imbalanced-data-1911.10687</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improvement-of-batch-normalization-in-imbalanced-data-1911.10687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improvement-of-batch-normalization-in-imbalanced-data-1911.10687"/></url>
<url><loc>https://scifaro.com/en/abs/the-convex-information-bottleneck-lagrangian-1911.11000</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-convex-information-bottleneck-lagrangian-1911.11000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-convex-information-bottleneck-lagrangian-1911.11000"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-distribution-free-concept-for-representing-comparing-and-propagating-uncertainty-in-dynamical-systems-with-kernel-probabilistic-programming-1911.11082</loc><lastmod>2020-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-distribution-free-concept-for-representing-comparing-and-propagating-uncertainty-in-dynamical-systems-with-kernel-probabilistic-programming-1911.11082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-distribution-free-concept-for-representing-comparing-and-propagating-uncertainty-in-dynamical-systems-with-kernel-probabilistic-programming-1911.11082"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-gradient-descent-solves-multi-channel-sparse-blind-deconvolution-provably-and-efficiently-1911.11167</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-gradient-descent-solves-multi-channel-sparse-blind-deconvolution-provably-and-efficiently-1911.11167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-gradient-descent-solves-multi-channel-sparse-blind-deconvolution-provably-and-efficiently-1911.11167"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-a-statistical-perspective-1911.11374</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-a-statistical-perspective-1911.11374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-a-statistical-perspective-1911.11374"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparse-linear-dynamic-networks-in-a-hyper-parameter-free-setting-1911.11553</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparse-linear-dynamic-networks-in-a-hyper-parameter-free-setting-1911.11553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparse-linear-dynamic-networks-in-a-hyper-parameter-free-setting-1911.11553"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-supply-chain-cyber-risks-1911.11652</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-supply-chain-cyber-risks-1911.11652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-supply-chain-cyber-risks-1911.11652"/></url>
<url><loc>https://scifaro.com/en/abs/a-user-study-of-perceived-carbon-footprint-1911.11658</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-user-study-of-perceived-carbon-footprint-1911.11658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-user-study-of-perceived-carbon-footprint-1911.11658"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-extreme-deconvolution-1911.11663</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-extreme-deconvolution-1911.11663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-extreme-deconvolution-1911.11663"/></url>
<url><loc>https://scifaro.com/en/abs/shifted-randomized-singular-value-decomposition-1911.11772</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shifted-randomized-singular-value-decomposition-1911.11772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shifted-randomized-singular-value-decomposition-1911.11772"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-completion-using-kronecker-product-approximation-1911.11774</loc><lastmod>2020-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-completion-using-kronecker-product-approximation-1911.11774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-completion-using-kronecker-product-approximation-1911.11774"/></url>
<url><loc>https://scifaro.com/en/abs/trading-convergence-rate-with-computational-budget-in-high-dimensional-bayesian-optimization-1911.11950</loc><lastmod>2026-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trading-convergence-rate-with-computational-budget-in-high-dimensional-bayesian-optimization-1911.11950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trading-convergence-rate-with-computational-budget-in-high-dimensional-bayesian-optimization-1911.11950"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-learning-of-structured-world-models-1911.12247</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-learning-of-structured-world-models-1911.12247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-learning-of-structured-world-models-1911.12247"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-estimation-of-principal-support-vector-machines-for-sufficient-dimension-reduction-1911.12732</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-estimation-of-principal-support-vector-machines-for-sufficient-dimension-reduction-1911.12732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-estimation-of-principal-support-vector-machines-for-sufficient-dimension-reduction-1911.12732"/></url>
<url><loc>https://scifaro.com/en/abs/spike-and-wave-epileptiform-discharge-pattern-detection-based-on-kendall-s-tau-b-coefficient-1911.13018</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spike-and-wave-epileptiform-discharge-pattern-detection-based-on-kendall-s-tau-b-coefficient-1911.13018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spike-and-wave-epileptiform-discharge-pattern-detection-based-on-kendall-s-tau-b-coefficient-1911.13018"/></url>
<url><loc>https://scifaro.com/en/abs/outliers-detection-in-networks-with-missing-links-1911.13122</loc><lastmod>2020-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outliers-detection-in-networks-with-missing-links-1911.13122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outliers-detection-in-networks-with-missing-links-1911.13122"/></url>
<url><loc>https://scifaro.com/en/abs/a-multilayered-block-network-model-to-forecast-large-dynamic-transportation-graphs-an-application-to-us-air-transport-1911.13136</loc><lastmod>2022-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multilayered-block-network-model-to-forecast-large-dynamic-transportation-graphs-an-application-to-us-air-transport-1911.13136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multilayered-block-network-model-to-forecast-large-dynamic-transportation-graphs-an-application-to-us-air-transport-1911.13136"/></url>
<url><loc>https://scifaro.com/en/abs/embedding-and-learning-with-signatures-1911.13211</loc><lastmod>2020-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embedding-and-learning-with-signatures-1911.13211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embedding-and-learning-with-signatures-1911.13211"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-approximate-inference-with-walsh-hadamard-variational-inference-1912.00015</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-approximate-inference-with-walsh-hadamard-variational-inference-1912.00015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-approximate-inference-with-walsh-hadamard-variational-inference-1912.00015"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-heavy-tailed-theory-of-stochastic-gradient-descent-for-deep-neural-networks-1912.00018</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-heavy-tailed-theory-of-stochastic-gradient-descent-for-deep-neural-networks-1912.00018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-heavy-tailed-theory-of-stochastic-gradient-descent-for-deep-neural-networks-1912.00018"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-optimality-of-kernels-for-high-dimensional-clustering-1912.00458</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-optimality-of-kernels-for-high-dimensional-clustering-1912.00458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-optimality-of-kernels-for-high-dimensional-clustering-1912.00458"/></url>
<url><loc>https://scifaro.com/en/abs/factor-analysis-on-citation-using-a-combined-latent-and-logistic-regression-model-1912.00524</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factor-analysis-on-citation-using-a-combined-latent-and-logistic-regression-model-1912.00524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factor-analysis-on-citation-using-a-combined-latent-and-logistic-regression-model-1912.00524"/></url>
<url><loc>https://scifaro.com/en/abs/flow-contrastive-estimation-of-energy-based-models-1912.00589</loc><lastmod>2020-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flow-contrastive-estimation-of-energy-based-models-1912.00589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flow-contrastive-estimation-of-energy-based-models-1912.00589"/></url>
<url><loc>https://scifaro.com/en/abs/rodent-relevance-determination-in-differential-equations-1912.00656</loc><lastmod>2020-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rodent-relevance-determination-in-differential-equations-1912.00656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rodent-relevance-determination-in-differential-equations-1912.00656"/></url>
<url><loc>https://scifaro.com/en/abs/a-random-matrix-perspective-on-mixtures-of-nonlinearities-for-deep-learning-1912.00827</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-random-matrix-perspective-on-mixtures-of-nonlinearities-for-deep-learning-1912.00827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-random-matrix-perspective-on-mixtures-of-nonlinearities-for-deep-learning-1912.00827"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-priors-for-knowledge-sharing-in-bayesian-neural-networks-1912.00874</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-priors-for-knowledge-sharing-in-bayesian-neural-networks-1912.00874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-priors-for-knowledge-sharing-in-bayesian-neural-networks-1912.00874"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-geometry-of-stein-variational-gradient-descent-1912.00894</loc><lastmod>2023-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-geometry-of-stein-variational-gradient-descent-1912.00894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-geometry-of-stein-variational-gradient-descent-1912.00894"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-sketching-for-supervised-classification-with-imbalanced-classes-1912.00905</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-sketching-for-supervised-classification-with-imbalanced-classes-1912.00905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-sketching-for-supervised-classification-with-imbalanced-classes-1912.00905"/></url>
<url><loc>https://scifaro.com/en/abs/v-statistics-and-variance-estimation-1912.01089</loc><lastmod>2020-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/v-statistics-and-variance-estimation-1912.01089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/v-statistics-and-variance-estimation-1912.01089"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-via-ant-colonies-parameter-analysis-and-improvement-of-the-algorithm-1912.01105</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-via-ant-colonies-parameter-analysis-and-improvement-of-the-algorithm-1912.01105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-via-ant-colonies-parameter-analysis-and-improvement-of-the-algorithm-1912.01105"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-classification-with-empirically-observed-statistics-1912.01170</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-classification-with-empirically-observed-statistics-1912.01170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-classification-with-empirically-observed-statistics-1912.01170"/></url>
<url><loc>https://scifaro.com/en/abs/variable-selection-with-rigorous-uncertainty-quantification-using-deep-bayesian-neural-networks-posterior-concentration-and-bernstein-von-mises-phenomenon-1912.01189</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-selection-with-rigorous-uncertainty-quantification-using-deep-bayesian-neural-networks-posterior-concentration-and-bernstein-von-mises-phenomenon-1912.01189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-selection-with-rigorous-uncertainty-quantification-using-deep-bayesian-neural-networks-posterior-concentration-and-bernstein-von-mises-phenomenon-1912.01189"/></url>
<url><loc>https://scifaro.com/en/abs/numerical-gaussian-process-kalman-filtering-1912.01234</loc><lastmod>2020-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/numerical-gaussian-process-kalman-filtering-1912.01234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/numerical-gaussian-process-kalman-filtering-1912.01234"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-model-selection-for-change-point-detection-and-clustering-1912.01308</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-model-selection-for-change-point-detection-and-clustering-1912.01308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-model-selection-for-change-point-detection-and-clustering-1912.01308"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-deflation-method-for-sparse-principal-component-analysis-via-subspace-projections-1912.01449</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-deflation-method-for-sparse-principal-component-analysis-via-subspace-projections-1912.01449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-deflation-method-for-sparse-principal-component-analysis-via-subspace-projections-1912.01449"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-validity-of-bayesian-neural-networks-for-uncertainty-estimation-1912.01530</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-validity-of-bayesian-neural-networks-for-uncertainty-estimation-1912.01530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-validity-of-bayesian-neural-networks-for-uncertainty-estimation-1912.01530"/></url>
<url><loc>https://scifaro.com/en/abs/stationary-points-of-shallow-neural-networks-with-quadratic-activation-function-1912.01599</loc><lastmod>2020-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stationary-points-of-shallow-neural-networks-with-quadratic-activation-function-1912.01599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stationary-points-of-shallow-neural-networks-with-quadratic-activation-function-1912.01599"/></url>
<url><loc>https://scifaro.com/en/abs/risk-averse-action-selection-using-extreme-value-theory-estimates-of-the-cvar-1912.01718</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-averse-action-selection-using-extreme-value-theory-estimates-of-the-cvar-1912.01718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-averse-action-selection-using-extreme-value-theory-estimates-of-the-cvar-1912.01718"/></url>
<url><loc>https://scifaro.com/en/abs/learning-multi-layer-latent-variable-model-via-variational-optimization-of-short-run-mcmc-for-approximate-inference-1912.01909</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-multi-layer-latent-variable-model-via-variational-optimization-of-short-run-mcmc-for-approximate-inference-1912.01909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-multi-layer-latent-variable-model-via-variational-optimization-of-short-run-mcmc-for-approximate-inference-1912.01909"/></url>
<url><loc>https://scifaro.com/en/abs/quantum-inspired-hamiltonian-monte-carlo-for-bayesian-sampling-1912.01937</loc><lastmod>2020-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantum-inspired-hamiltonian-monte-carlo-for-bayesian-sampling-1912.01937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantum-inspired-hamiltonian-monte-carlo-for-bayesian-sampling-1912.01937"/></url>
<url><loc>https://scifaro.com/en/abs/receiver-operating-characteristic-roc-movies-universal-roc-uroc-curves-and-coefficient-of-predictive-ability-cpa-1912.01956</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/receiver-operating-characteristic-roc-movies-universal-roc-uroc-curves-and-coefficient-of-predictive-ability-cpa-1912.01956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/receiver-operating-characteristic-roc-movies-universal-roc-uroc-curves-and-coefficient-of-predictive-ability-cpa-1912.01956"/></url>
<url><loc>https://scifaro.com/en/abs/landscape-complexity-for-the-empirical-risk-of-generalized-linear-models-1912.02143</loc><lastmod>2023-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/landscape-complexity-for-the-empirical-risk-of-generalized-linear-models-1912.02143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/landscape-complexity-for-the-empirical-risk-of-generalized-linear-models-1912.02143"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-indian-buffet-neural-networks-for-bayesian-continual-learning-1912.02290</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-indian-buffet-neural-networks-for-bayesian-continual-learning-1912.02290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-indian-buffet-neural-networks-for-bayesian-continual-learning-1912.02290"/></url>
<url><loc>https://scifaro.com/en/abs/a-sparse-negative-binomial-mixture-model-for-clustering-rna-seq-count-data-1912.02399</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sparse-negative-binomial-mixture-model-for-clustering-rna-seq-count-data-1912.02399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sparse-negative-binomial-mixture-model-for-clustering-rna-seq-count-data-1912.02399"/></url>
<url><loc>https://scifaro.com/en/abs/ordinal-bayesian-optimisation-1912.02493</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ordinal-bayesian-optimisation-1912.02493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ordinal-bayesian-optimisation-1912.02493"/></url>
<url><loc>https://scifaro.com/en/abs/warped-input-gaussian-processes-for-time-series-forecasting-1912.02527</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/warped-input-gaussian-processes-for-time-series-forecasting-1912.02527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/warped-input-gaussian-processes-for-time-series-forecasting-1912.02527"/></url>
<url><loc>https://scifaro.com/en/abs/representing-closed-transformation-paths-in-encoded-network-latent-space-1912.02644</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representing-closed-transformation-paths-in-encoded-network-latent-space-1912.02644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representing-closed-transformation-paths-in-encoded-network-latent-space-1912.02644"/></url>
<url><loc>https://scifaro.com/en/abs/causal-structure-based-root-cause-analysis-of-outliers-1912.02724</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-structure-based-root-cause-analysis-of-outliers-1912.02724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-structure-based-root-cause-analysis-of-outliers-1912.02724"/></url>
<url><loc>https://scifaro.com/en/abs/metafun-meta-learning-with-iterative-functional-updates-1912.02738</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metafun-meta-learning-with-iterative-functional-updates-1912.02738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metafun-meta-learning-with-iterative-functional-updates-1912.02738"/></url>
<url><loc>https://scifaro.com/en/abs/deep-ensembles-a-loss-landscape-perspective-1912.02757</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-ensembles-a-loss-landscape-perspective-1912.02757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-ensembles-a-loss-landscape-perspective-1912.02757"/></url>
<url><loc>https://scifaro.com/en/abs/normalizing-flows-for-probabilistic-modeling-and-inference-1912.02762</loc><lastmod>2021-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normalizing-flows-for-probabilistic-modeling-and-inference-1912.02762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normalizing-flows-for-probabilistic-modeling-and-inference-1912.02762"/></url>
<url><loc>https://scifaro.com/en/abs/label-consistent-backdoor-attacks-1912.02771</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-consistent-backdoor-attacks-1912.02771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-consistent-backdoor-attacks-1912.02771"/></url>
<url><loc>https://scifaro.com/en/abs/augmix-a-simple-data-processing-method-to-improve-robustness-and-uncertainty-1912.02781</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmix-a-simple-data-processing-method-to-improve-robustness-and-uncertainty-1912.02781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmix-a-simple-data-processing-method-to-improve-robustness-and-uncertainty-1912.02781"/></url>
<url><loc>https://scifaro.com/en/abs/neural-tangents-fast-and-easy-infinite-neural-networks-in-python-1912.02803</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-tangents-fast-and-easy-infinite-neural-networks-in-python-1912.02803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-tangents-fast-and-easy-infinite-neural-networks-in-python-1912.02803"/></url>
<url><loc>https://scifaro.com/en/abs/solving-bernoulli-rank-one-bandits-with-unimodal-thompson-sampling-1912.03074</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-bernoulli-rank-one-bandits-with-unimodal-thompson-sampling-1912.03074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-bernoulli-rank-one-bandits-with-unimodal-thompson-sampling-1912.03074"/></url>
<url><loc>https://scifaro.com/en/abs/non-asymptotic-error-bounds-for-scaled-underdamped-langevin-mcmc-1912.03154</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-asymptotic-error-bounds-for-scaled-underdamped-langevin-mcmc-1912.03154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-asymptotic-error-bounds-for-scaled-underdamped-langevin-mcmc-1912.03154"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-priors-for-view-aware-inference-1912.03249</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-priors-for-view-aware-inference-1912.03249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-priors-for-view-aware-inference-1912.03249"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-unbiasedness-of-the-permutation-importance-measure-in-random-forest-models-1912.03306</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-unbiasedness-of-the-permutation-importance-measure-in-random-forest-models-1912.03306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-unbiasedness-of-the-permutation-importance-measure-in-random-forest-models-1912.03306"/></url>
<url><loc>https://scifaro.com/en/abs/no-regret-exploration-in-goal-oriented-reinforcement-learning-1912.03517</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-regret-exploration-in-goal-oriented-reinforcement-learning-1912.03517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-regret-exploration-in-goal-oriented-reinforcement-learning-1912.03517"/></url>
<url><loc>https://scifaro.com/en/abs/lgpr-an-interpretable-nonparametric-method-for-inferring-covariate-effects-from-longitudinal-data-1912.03549</loc><lastmod>2022-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lgpr-an-interpretable-nonparametric-method-for-inferring-covariate-effects-from-longitudinal-data-1912.03549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lgpr-an-interpretable-nonparametric-method-for-inferring-covariate-effects-from-longitudinal-data-1912.03549"/></url>
<url><loc>https://scifaro.com/en/abs/deep-variable-block-chain-with-adaptive-variable-selection-1912.03573</loc><lastmod>2024-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-variable-block-chain-with-adaptive-variable-selection-1912.03573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-variable-block-chain-with-adaptive-variable-selection-1912.03573"/></url>
<url><loc>https://scifaro.com/en/abs/contrast-trees-and-distribution-boosting-1912.03785</loc><lastmod>2022-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrast-trees-and-distribution-boosting-1912.03785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrast-trees-and-distribution-boosting-1912.03785"/></url>
<url><loc>https://scifaro.com/en/abs/learning-disentangled-representations-via-mutual-information-estimation-1912.03915</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-disentangled-representations-via-mutual-information-estimation-1912.03915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-disentangled-representations-via-mutual-information-estimation-1912.03915"/></url>
<url><loc>https://scifaro.com/en/abs/optimism-in-reinforcement-learning-with-generalized-linear-function-approximation-1912.04136</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimism-in-reinforcement-learning-with-generalized-linear-function-approximation-1912.04136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimism-in-reinforcement-learning-with-generalized-linear-function-approximation-1912.04136"/></url>
<url><loc>https://scifaro.com/en/abs/solving-bayesian-inverse-problems-via-variational-autoencoders-1912.04212</loc><lastmod>2021-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-bayesian-inverse-problems-via-variational-autoencoders-1912.04212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-bayesian-inverse-problems-via-variational-autoencoders-1912.04212"/></url>
<url><loc>https://scifaro.com/en/abs/a-time-resolved-clustering-method-revealing-longterm-structures-and-their-short-term-internal-dynamics-1912.04261</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-time-resolved-clustering-method-revealing-longterm-structures-and-their-short-term-internal-dynamics-1912.04261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-time-resolved-clustering-method-revealing-longterm-structures-and-their-short-term-internal-dynamics-1912.04261"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-data-sharing-via-probabilistic-modelling-1912.04439</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-data-sharing-via-probabilistic-modelling-1912.04439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-data-sharing-via-probabilistic-modelling-1912.04439"/></url>
<url><loc>https://scifaro.com/en/abs/histogram-transform-ensembles-for-large-scale-regression-1912.04738</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/histogram-transform-ensembles-for-large-scale-regression-1912.04738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/histogram-transform-ensembles-for-large-scale-regression-1912.04738"/></url>
<url><loc>https://scifaro.com/en/abs/statistically-robust-neural-network-classification-1912.04884</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistically-robust-neural-network-classification-1912.04884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistically-robust-neural-network-classification-1912.04884"/></url>
<url><loc>https://scifaro.com/en/abs/representational-r-enyi-heterogeneity-1912.05031</loc><lastmod>2020-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representational-r-enyi-heterogeneity-1912.05031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representational-r-enyi-heterogeneity-1912.05031"/></url>
<url><loc>https://scifaro.com/en/abs/fenton-wilkinson-order-statistics-and-german-tanks-a-case-study-of-an-orienteering-relay-race-1912.05034</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fenton-wilkinson-order-statistics-and-german-tanks-a-case-study-of-an-orienteering-relay-race-1912.05034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fenton-wilkinson-order-statistics-and-german-tanks-a-case-study-of-an-orienteering-relay-race-1912.05034"/></url>
<url><loc>https://scifaro.com/en/abs/a-closer-look-at-disentangling-in-beta-vae-1912.05127</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-closer-look-at-disentangling-in-beta-vae-1912.05127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-closer-look-at-disentangling-in-beta-vae-1912.05127"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-for-bayesian-mixture-models-mcmc-with-polynomial-time-mixing-1912.05153</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-for-bayesian-mixture-models-mcmc-with-polynomial-time-mixing-1912.05153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-for-bayesian-mixture-models-mcmc-with-polynomial-time-mixing-1912.05153"/></url>
<url><loc>https://scifaro.com/en/abs/the-wasserstein-fourier-distance-for-stationary-time-series-1912.05509</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-wasserstein-fourier-distance-for-stationary-time-series-1912.05509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-wasserstein-fourier-distance-for-stationary-time-series-1912.05509"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-the-reliability-of-reinforcement-learning-algorithms-1912.05663</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-the-reliability-of-reinforcement-learning-algorithms-1912.05663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-the-reliability-of-reinforcement-learning-algorithms-1912.05663"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-exploration-for-non-stationary-stochastic-linear-bandits-1912.05695</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-exploration-for-non-stationary-stochastic-linear-bandits-1912.05695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-exploration-for-non-stationary-stochastic-linear-bandits-1912.05695"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-bayesian-reticulum-1912.05901</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-bayesian-reticulum-1912.05901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-bayesian-reticulum-1912.05901"/></url>
<url><loc>https://scifaro.com/en/abs/normalizing-constant-estimation-with-gaussianized-bridge-sampling-1912.06073</loc><lastmod>2020-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normalizing-constant-estimation-with-gaussianized-bridge-sampling-1912.06073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normalizing-constant-estimation-with-gaussianized-bridge-sampling-1912.06073"/></url>
<url><loc>https://scifaro.com/en/abs/mm-algorithms-for-distance-covariance-based-sufficient-dimension-reduction-and-sufficient-variable-selection-1912.06342</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mm-algorithms-for-distance-covariance-based-sufficient-dimension-reduction-and-sufficient-variable-selection-1912.06342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mm-algorithms-for-distance-covariance-based-sufficient-dimension-reduction-and-sufficient-variable-selection-1912.06342"/></url>
<url><loc>https://scifaro.com/en/abs/provably-efficient-reinforcement-learning-with-aggregated-states-1912.06366</loc><lastmod>2020-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-efficient-reinforcement-learning-with-aggregated-states-1912.06366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-efficient-reinforcement-learning-with-aggregated-states-1912.06366"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-complex-predictive-models-with-ghost-variables-1912.06407</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-complex-predictive-models-with-ghost-variables-1912.06407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-complex-predictive-models-with-ghost-variables-1912.06407"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-precision-medicine-from-patient-derived-xenografts-1912.06667</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-precision-medicine-from-patient-derived-xenografts-1912.06667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-precision-medicine-from-patient-derived-xenografts-1912.06667"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-super-learner-1912.06675</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-super-learner-1912.06675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-super-learner-1912.06675"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-confidence-bands-for-distributed-nonparametric-regression-1912.06689</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-confidence-bands-for-distributed-nonparametric-regression-1912.06689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-confidence-bands-for-distributed-nonparametric-regression-1912.06689"/></url>
<url><loc>https://scifaro.com/en/abs/a-posteriori-trading-inspired-model-free-time-series-segmentation-1912.06708</loc><lastmod>2023-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-posteriori-trading-inspired-model-free-time-series-segmentation-1912.06708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-posteriori-trading-inspired-model-free-time-series-segmentation-1912.06708"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-and-validation-of-ratio-based-conditional-average-treatment-effects-using-observational-data-1912.06977</loc><lastmod>2020-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-and-validation-of-ratio-based-conditional-average-treatment-effects-using-observational-data-1912.06977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-and-validation-of-ratio-based-conditional-average-treatment-effects-using-observational-data-1912.06977"/></url>
<url><loc>https://scifaro.com/en/abs/the-generalization-error-of-the-minimum-norm-solutions-for-over-parameterized-neural-networks-1912.06987</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-generalization-error-of-the-minimum-norm-solutions-for-over-parameterized-neural-networks-1912.06987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-generalization-error-of-the-minimum-norm-solutions-for-over-parameterized-neural-networks-1912.06987"/></url>
<url><loc>https://scifaro.com/en/abs/applying-deep-learning-to-detect-traffic-accidents-in-real-time-using-spatiotemporal-sequential-data-1912.06991</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applying-deep-learning-to-detect-traffic-accidents-in-real-time-using-spatiotemporal-sequential-data-1912.06991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applying-deep-learning-to-detect-traffic-accidents-in-real-time-using-spatiotemporal-sequential-data-1912.06991"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-assessment-for-artificial-intelligence-in-financial-industry-1912.07211</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-assessment-for-artificial-intelligence-in-financial-industry-1912.07211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-assessment-for-artificial-intelligence-in-financial-industry-1912.07211"/></url>
<url><loc>https://scifaro.com/en/abs/more-data-can-hurt-for-linear-regression-sample-wise-double-descent-1912.07242</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/more-data-can-hurt-for-linear-regression-sample-wise-double-descent-1912.07242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/more-data-can-hurt-for-linear-regression-sample-wise-double-descent-1912.07242"/></url>
<url><loc>https://scifaro.com/en/abs/learning-arbitrary-quantities-of-interest-from-expensive-black-box-functions-through-bayesian-sequential-optimal-design-1912.07366</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-arbitrary-quantities-of-interest-from-expensive-black-box-functions-through-bayesian-sequential-optimal-design-1912.07366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-arbitrary-quantities-of-interest-from-expensive-black-box-functions-through-bayesian-sequential-optimal-design-1912.07366"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-for-random-forest-prediction-error-estimation-1912.07435</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-for-random-forest-prediction-error-estimation-1912.07435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-for-random-forest-prediction-error-estimation-1912.07435"/></url>
<url><loc>https://scifaro.com/en/abs/a-robust-spectral-clustering-algorithm-for-sub-gaussian-mixture-models-with-outliers-1912.07546</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-robust-spectral-clustering-algorithm-for-sub-gaussian-mixture-models-with-outliers-1912.07546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-robust-spectral-clustering-algorithm-for-sub-gaussian-mixture-models-with-outliers-1912.07546"/></url>
<url><loc>https://scifaro.com/en/abs/balancing-the-tradeoff-between-clustering-value-and-interpretability-1912.07820</loc><lastmod>2020-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balancing-the-tradeoff-between-clustering-value-and-interpretability-1912.07820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balancing-the-tradeoff-between-clustering-value-and-interpretability-1912.07820"/></url>
<url><loc>https://scifaro.com/en/abs/joint-interaction-and-trajectory-prediction-for-autonomous-driving-using-graph-neural-networks-1912.07882</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-interaction-and-trajectory-prediction-for-autonomous-driving-using-graph-neural-networks-1912.07882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-interaction-and-trajectory-prediction-for-autonomous-driving-using-graph-neural-networks-1912.07882"/></url>
<url><loc>https://scifaro.com/en/abs/learning-high-dimensional-probability-distributions-using-tree-tensor-networks-1912.07913</loc><lastmod>2021-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-high-dimensional-probability-distributions-using-tree-tensor-networks-1912.07913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-high-dimensional-probability-distributions-using-tree-tensor-networks-1912.07913"/></url>
<url><loc>https://scifaro.com/en/abs/how-personal-is-machine-learning-personalization-1912.07938</loc><lastmod>2019-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-personal-is-machine-learning-personalization-1912.07938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-personal-is-machine-learning-personalization-1912.07938"/></url>
<url><loc>https://scifaro.com/en/abs/a-finite-sample-deviation-bound-for-stable-autoregressive-processes-1912.08103</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-finite-sample-deviation-bound-for-stable-autoregressive-processes-1912.08103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-finite-sample-deviation-bound-for-stable-autoregressive-processes-1912.08103"/></url>
<url><loc>https://scifaro.com/en/abs/cyanure-an-open-source-toolbox-for-empirical-risk-minimization-for-python-c-and-soon-more-1912.08165</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cyanure-an-open-source-toolbox-for-empirical-risk-minimization-for-python-c-and-soon-more-1912.08165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cyanure-an-open-source-toolbox-for-empirical-risk-minimization-for-python-c-and-soon-more-1912.08165"/></url>
<url><loc>https://scifaro.com/en/abs/extrinsic-kernel-ridge-regression-classifier-for-planar-kendall-shape-space-1912.08202</loc><lastmod>2020-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extrinsic-kernel-ridge-regression-classifier-for-planar-kendall-shape-space-1912.08202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extrinsic-kernel-ridge-regression-classifier-for-planar-kendall-shape-space-1912.08202"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-topological-learning-for-brain-state-classification-1912.08348</loc><lastmod>2019-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-topological-learning-for-brain-state-classification-1912.08348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-topological-learning-for-brain-state-classification-1912.08348"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-the-neural-linear-model-for-regression-1912.08416</loc><lastmod>2019-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-the-neural-linear-model-for-regression-1912.08416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-the-neural-linear-model-for-regression-1912.08416"/></url>
<url><loc>https://scifaro.com/en/abs/tree-pyramidal-adaptive-importance-sampling-1912.08434</loc><lastmod>2020-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tree-pyramidal-adaptive-importance-sampling-1912.08434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tree-pyramidal-adaptive-importance-sampling-1912.08434"/></url>
<url><loc>https://scifaro.com/en/abs/analytic-expressions-for-the-output-evolution-of-a-deep-neural-network-1912.08526</loc><lastmod>2019-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analytic-expressions-for-the-output-evolution-of-a-deep-neural-network-1912.08526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analytic-expressions-for-the-output-evolution-of-a-deep-neural-network-1912.08526"/></url>
<url><loc>https://scifaro.com/en/abs/the-brier-score-under-administrative-censoring-problems-and-solutions-1912.08581</loc><lastmod>2019-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-brier-score-under-administrative-censoring-problems-and-solutions-1912.08581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-brier-score-under-administrative-censoring-problems-and-solutions-1912.08581"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-residual-ratio-thresholding-1912.08637</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-residual-ratio-thresholding-1912.08637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-residual-ratio-thresholding-1912.08637"/></url>
<url><loc>https://scifaro.com/en/abs/boltzmann-exploration-expectation-maximisation-1912.08869</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boltzmann-exploration-expectation-maximisation-1912.08869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boltzmann-exploration-expectation-maximisation-1912.08869"/></url>
<url><loc>https://scifaro.com/en/abs/a-maximum-entropy-approach-to-massive-graph-spectra-1912.09068</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-maximum-entropy-approach-to-massive-graph-spectra-1912.09068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-maximum-entropy-approach-to-massive-graph-spectra-1912.09068"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-approach-to-modelling-longitudinal-data-in-electronic-health-records-1912.09086</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-approach-to-modelling-longitudinal-data-in-electronic-health-records-1912.09086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-approach-to-modelling-longitudinal-data-in-electronic-health-records-1912.09086"/></url>
<url><loc>https://scifaro.com/en/abs/feature-wise-change-detection-and-robust-indoor-positioning-using-ransac-like-approach-1912.09301</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-wise-change-detection-and-robust-indoor-positioning-using-ransac-like-approach-1912.09301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-wise-change-detection-and-robust-indoor-positioning-using-ransac-like-approach-1912.09301"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-fusion-transformers-for-interpretable-multi-horizon-time-series-forecasting-1912.09363</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-fusion-transformers-for-interpretable-multi-horizon-time-series-forecasting-1912.09363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-fusion-transformers-for-interpretable-multi-horizon-time-series-forecasting-1912.09363"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-testing-on-asr-performance-via-blockwise-bootstrap-1912.09508</loc><lastmod>2020-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-testing-on-asr-performance-via-blockwise-bootstrap-1912.09508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-testing-on-asr-performance-via-blockwise-bootstrap-1912.09508"/></url>
<url><loc>https://scifaro.com/en/abs/invertible-gaussian-reparameterization-revisiting-the-gumbel-softmax-1912.09588</loc><lastmod>2022-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invertible-gaussian-reparameterization-revisiting-the-gumbel-softmax-1912.09588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invertible-gaussian-reparameterization-revisiting-the-gumbel-softmax-1912.09588"/></url>
<url><loc>https://scifaro.com/en/abs/deep-curvature-suite-1912.09656</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-curvature-suite-1912.09656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-curvature-suite-1912.09656"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-simulated-annealing-em-algorithm-for-inference-on-non-homogeneous-hidden-markov-models-1912.09733</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-simulated-annealing-em-algorithm-for-inference-on-non-homogeneous-hidden-markov-models-1912.09733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-simulated-annealing-em-algorithm-for-inference-on-non-homogeneous-hidden-markov-models-1912.09733"/></url>
<url><loc>https://scifaro.com/en/abs/cdpa-common-and-distinctive-pattern-analysis-between-high-dimensional-datasets-1912.09989</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cdpa-common-and-distinctive-pattern-analysis-between-high-dimensional-datasets-1912.09989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cdpa-common-and-distinctive-pattern-analysis-between-high-dimensional-datasets-1912.09989"/></url>
<url><loc>https://scifaro.com/en/abs/a-systematic-comparison-of-bayesian-deep-learning-robustness-in-diabetic-retinopathy-tasks-1912.10481</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-systematic-comparison-of-bayesian-deep-learning-robustness-in-diabetic-retinopathy-tasks-1912.10481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-systematic-comparison-of-bayesian-deep-learning-robustness-in-diabetic-retinopathy-tasks-1912.10481"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-monte-carlo-estimation-of-log-marginal-likelihood-1912.10636</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-monte-carlo-estimation-of-log-marginal-likelihood-1912.10636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-monte-carlo-estimation-of-log-marginal-likelihood-1912.10636"/></url>
<url><loc>https://scifaro.com/en/abs/recreation-of-the-periodic-table-with-an-unsupervised-machine-learning-algorithm-1912.10708</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recreation-of-the-periodic-table-with-an-unsupervised-machine-learning-algorithm-1912.10708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recreation-of-the-periodic-table-with-an-unsupervised-machine-learning-algorithm-1912.10708"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-basis-gaussian-process-models-of-hyperelastic-materials-1912.10872</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-basis-gaussian-process-models-of-hyperelastic-materials-1912.10872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-basis-gaussian-process-models-of-hyperelastic-materials-1912.10872"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-polynomial-chaos-expansions-using-variational-relevance-vector-machines-1912.11029</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-polynomial-chaos-expansions-using-variational-relevance-vector-machines-1912.11029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-polynomial-chaos-expansions-using-variational-relevance-vector-machines-1912.11029"/></url>
<url><loc>https://scifaro.com/en/abs/cronus-robust-and-heterogeneous-collaborative-learning-with-black-box-knowledge-transfer-1912.11279</loc><lastmod>2019-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cronus-robust-and-heterogeneous-collaborative-learning-with-black-box-knowledge-transfer-1912.11279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cronus-robust-and-heterogeneous-collaborative-learning-with-black-box-knowledge-transfer-1912.11279"/></url>
<url><loc>https://scifaro.com/en/abs/robust-group-synchronization-via-cycle-edge-message-passing-1912.11347</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-group-synchronization-via-cycle-edge-message-passing-1912.11347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-group-synchronization-via-cycle-edge-message-passing-1912.11347"/></url>
<url><loc>https://scifaro.com/en/abs/an-error-bound-for-lasso-and-group-lasso-in-high-dimensions-1912.11398</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-error-bound-for-lasso-and-group-lasso-in-high-dimensions-1912.11398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-error-bound-for-lasso-and-group-lasso-in-high-dimensions-1912.11398"/></url>
<url><loc>https://scifaro.com/en/abs/a-drug-recommendation-system-dr-s-for-cancer-cell-lines-1912.11548</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-drug-recommendation-system-dr-s-for-cancer-cell-lines-1912.11548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-drug-recommendation-system-dr-s-for-cancer-cell-lines-1912.11548"/></url>
<url><loc>https://scifaro.com/en/abs/composable-effects-for-flexible-and-accelerated-probabilistic-programming-in-numpyro-1912.11554</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/composable-effects-for-flexible-and-accelerated-probabilistic-programming-in-numpyro-1912.11554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/composable-effects-for-flexible-and-accelerated-probabilistic-programming-in-numpyro-1912.11554"/></url>
<url><loc>https://scifaro.com/en/abs/effective-data-augmentation-with-multi-domain-learning-gans-1912.11597</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-data-augmentation-with-multi-domain-learning-gans-1912.11597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-data-augmentation-with-multi-domain-learning-gans-1912.11597"/></url>
<url><loc>https://scifaro.com/en/abs/image-enhanced-rotation-prediction-for-self-supervised-learning-1912.11603</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/image-enhanced-rotation-prediction-for-self-supervised-learning-1912.11603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/image-enhanced-rotation-prediction-for-self-supervised-learning-1912.11603"/></url>
<url><loc>https://scifaro.com/en/abs/on-clustering-uncertain-and-structured-data-with-wasserstein-barycenters-and-a-geodesic-criterion-for-the-number-of-clusters-1912.11801</loc><lastmod>2023-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-clustering-uncertain-and-structured-data-with-wasserstein-barycenters-and-a-geodesic-criterion-for-the-number-of-clusters-1912.11801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-clustering-uncertain-and-structured-data-with-wasserstein-barycenters-and-a-geodesic-criterion-for-the-number-of-clusters-1912.11801"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-free-clustering-with-cluster-catch-digraphs-technical-report-1912.11926</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-free-clustering-with-cluster-catch-digraphs-technical-report-1912.11926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-free-clustering-with-cluster-catch-digraphs-technical-report-1912.11926"/></url>
<url><loc>https://scifaro.com/en/abs/projection-pursuit-based-on-gaussian-mixtures-and-evolutionary-algorithms-1912.12049</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projection-pursuit-based-on-gaussian-mixtures-and-evolutionary-algorithms-1912.12049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projection-pursuit-based-on-gaussian-mixtures-and-evolutionary-algorithms-1912.12049"/></url>
<url><loc>https://scifaro.com/en/abs/the-chi-square-test-of-distance-correlation-1912.12150</loc><lastmod>2024-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-chi-square-test-of-distance-correlation-1912.12150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-chi-square-test-of-distance-correlation-1912.12150"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-agnostic-mapping-a-framework-in-neuroimaging-based-on-concentration-inequalities-1912.12274</loc><lastmod>2022-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-agnostic-mapping-a-framework-in-neuroimaging-based-on-concentration-inequalities-1912.12274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-agnostic-mapping-a-framework-in-neuroimaging-based-on-concentration-inequalities-1912.12274"/></url>
<url><loc>https://scifaro.com/en/abs/approval-policies-for-modifications-to-machine-learning-based-software-as-a-medical-device-a-study-of-bio-creep-1912.12413</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approval-policies-for-modifications-to-machine-learning-based-software-as-a-medical-device-a-study-of-bio-creep-1912.12413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approval-policies-for-modifications-to-machine-learning-based-software-as-a-medical-device-a-study-of-bio-creep-1912.12413"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-intractable-short-ratemodel-distribution-with-neural-network-1912.12615</loc><lastmod>2024-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-intractable-short-ratemodel-distribution-with-neural-network-1912.12615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-intractable-short-ratemodel-distribution-with-neural-network-1912.12615"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-uncertainty-guided-neural-network-training-1912.12761</loc><lastmod>2024-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-uncertainty-guided-neural-network-training-1912.12761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-uncertainty-guided-neural-network-training-1912.12761"/></url>
<url><loc>https://scifaro.com/en/abs/multi-objective-hyperparameter-tuning-and-feature-selection-using-filter-ensembles-1912.12912</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-objective-hyperparameter-tuning-and-feature-selection-using-filter-ensembles-1912.12912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-objective-hyperparameter-tuning-and-feature-selection-using-filter-ensembles-1912.12912"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-tensor-network-with-polynomial-complexity-for-probabilistic-machine-learning-1912.12923</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-tensor-network-with-polynomial-complexity-for-probabilistic-machine-learning-1912.12923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-tensor-network-with-polynomial-complexity-for-probabilistic-machine-learning-1912.12923"/></url>
<url><loc>https://scifaro.com/en/abs/localized-debiased-machine-learning-efficient-inference-on-quantile-treatment-effects-and-beyond-1912.12945</loc><lastmod>2022-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/localized-debiased-machine-learning-efficient-inference-on-quantile-treatment-effects-and-beyond-1912.12945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/localized-debiased-machine-learning-efficient-inference-on-quantile-treatment-effects-and-beyond-1912.12945"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-clustering-with-representation-learning-with-any-ratio-of-labeled-to-unlabeled-data-1912.12979</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-clustering-with-representation-learning-with-any-ratio-of-labeled-to-unlabeled-data-1912.12979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-clustering-with-representation-learning-with-any-ratio-of-labeled-to-unlabeled-data-1912.12979"/></url>
<url><loc>https://scifaro.com/en/abs/outlier-detection-and-data-clustering-via-innovation-search-1912.12988</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outlier-detection-and-data-clustering-via-innovation-search-1912.12988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outlier-detection-and-data-clustering-via-innovation-search-1912.12988"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-correlated-monte-carlo-for-contextual-categorical-sequence-generation-1912.13151</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-correlated-monte-carlo-for-contextual-categorical-sequence-generation-1912.13151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-correlated-monte-carlo-for-contextual-categorical-sequence-generation-1912.13151"/></url>
<url><loc>https://scifaro.com/en/abs/finite-state-extreme-effect-variable-1912.13377</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-state-extreme-effect-variable-1912.13377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-state-extreme-effect-variable-1912.13377"/></url>
<url><loc>https://scifaro.com/en/abs/risk-of-the-least-squares-minimum-norm-estimator-under-the-spike-covariance-model-1912.13421</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-of-the-least-squares-minimum-norm-estimator-under-the-spike-covariance-model-1912.13421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-of-the-least-squares-minimum-norm-estimator-under-the-spike-covariance-model-1912.13421"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-inference-for-fully-bayesian-gaussian-process-regression-1912.13440</loc><lastmod>2020-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-inference-for-fully-bayesian-gaussian-process-regression-1912.13440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-inference-for-fully-bayesian-gaussian-process-regression-1912.13440"/></url>
<url><loc>https://scifaro.com/en/abs/robust-aggregation-for-federated-learning-1912.13445</loc><lastmod>2023-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-aggregation-for-federated-learning-1912.13445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-aggregation-for-federated-learning-1912.13445"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-recursive-variance-reduction-for-efficient-smooth-non-convex-compositional-optimization-1912.13515</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-recursive-variance-reduction-for-efficient-smooth-non-convex-compositional-optimization-1912.13515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-recursive-variance-reduction-for-efficient-smooth-non-convex-compositional-optimization-1912.13515"/></url>
<url><loc>https://scifaro.com/en/abs/the-gambler-s-problem-and-beyond-2001.00102</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-gambler-s-problem-and-beyond-2001.00102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-gambler-s-problem-and-beyond-2001.00102"/></url>
<url><loc>https://scifaro.com/en/abs/restricting-the-flow-information-bottlenecks-for-attribution-2001.00396</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/restricting-the-flow-information-bottlenecks-for-attribution-2001.00396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/restricting-the-flow-information-bottlenecks-for-attribution-2001.00396"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-structural-model-for-analyzing-correlated-multivariate-time-series-2001.00559</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-structural-model-for-analyzing-correlated-multivariate-time-series-2001.00559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-structural-model-for-analyzing-correlated-multivariate-time-series-2001.00559"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-outlier-detection-through-decision-tree-conditioning-2001.00636</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-outlier-detection-through-decision-tree-conditioning-2001.00636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-outlier-detection-through-decision-tree-conditioning-2001.00636"/></url>
<url><loc>https://scifaro.com/en/abs/improve-unsupervised-domain-adaptation-with-mixup-training-2001.00677</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improve-unsupervised-domain-adaptation-with-mixup-training-2001.00677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improve-unsupervised-domain-adaptation-with-mixup-training-2001.00677"/></url>
<url><loc>https://scifaro.com/en/abs/decomposable-probability-of-success-metrics-in-algorithmic-search-2001.00742</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decomposable-probability-of-success-metrics-in-algorithmic-search-2001.00742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decomposable-probability-of-success-metrics-in-algorithmic-search-2001.00742"/></url>
<url><loc>https://scifaro.com/en/abs/wide-neural-networks-with-bottlenecks-are-deep-gaussian-processes-2001.00921</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wide-neural-networks-with-bottlenecks-are-deep-gaussian-processes-2001.00921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wide-neural-networks-with-bottlenecks-are-deep-gaussian-processes-2001.00921"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-independence-testing-via-maximum-and-average-distance-correlations-2001.01095</loc><lastmod>2025-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-independence-testing-via-maximum-and-average-distance-correlations-2001.01095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-independence-testing-via-maximum-and-average-distance-correlations-2001.01095"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bayesian-methods-for-stochastically-constrained-system-design-problems-2001.01404</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayesian-methods-for-stochastically-constrained-system-design-problems-2001.01404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayesian-methods-for-stochastically-constrained-system-design-problems-2001.01404"/></url>
<url><loc>https://scifaro.com/en/abs/consistent-batch-normalization-for-weighted-loss-in-imbalanced-data-environment-2001.01433</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-batch-normalization-for-weighted-loss-in-imbalanced-data-environment-2001.01433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-batch-normalization-for-weighted-loss-in-imbalanced-data-environment-2001.01433"/></url>
<url><loc>https://scifaro.com/en/abs/combining-data-assimilation-and-machine-learning-to-emulate-a-dynamical-model-from-sparse-and-noisy-observations-a-case-study-with-the-lorenz-96-model-2001.01520</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-data-assimilation-and-machine-learning-to-emulate-a-dynamical-model-from-sparse-and-noisy-observations-a-case-study-with-the-lorenz-96-model-2001.01520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-data-assimilation-and-machine-learning-to-emulate-a-dynamical-model-from-sparse-and-noisy-observations-a-case-study-with-the-lorenz-96-model-2001.01520"/></url>
<url><loc>https://scifaro.com/en/abs/mrec-a-fast-and-versatile-framework-for-aligning-and-matching-point-clouds-with-applications-to-single-cell-molecular-data-2001.01666</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mrec-a-fast-and-versatile-framework-for-aligning-and-matching-point-clouds-with-applications-to-single-cell-molecular-data-2001.01666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mrec-a-fast-and-versatile-framework-for-aligning-and-matching-point-clouds-with-applications-to-single-cell-molecular-data-2001.01666"/></url>
<url><loc>https://scifaro.com/en/abs/an-automatic-relevance-determination-prior-bayesian-neural-network-for-controlled-variable-selection-2001.01765</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-automatic-relevance-determination-prior-bayesian-neural-network-for-controlled-variable-selection-2001.01765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-automatic-relevance-determination-prior-bayesian-neural-network-for-controlled-variable-selection-2001.01765"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-binary-data-by-application-of-combinatorial-optimization-heuristics-2001.01809</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-binary-data-by-application-of-combinatorial-optimization-heuristics-2001.01809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-binary-data-by-application-of-combinatorial-optimization-heuristics-2001.01809"/></url>
<url><loc>https://scifaro.com/en/abs/causal-mosaic-cause-effect-inference-via-nonlinear-ica-and-ensemble-method-2001.01894</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-mosaic-cause-effect-inference-via-nonlinear-ica-and-ensemble-method-2001.01894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-mosaic-cause-effect-inference-via-nonlinear-ica-and-ensemble-method-2001.01894"/></url>
<url><loc>https://scifaro.com/en/abs/catboostlss-an-extension-of-catboost-to-probabilistic-forecasting-2001.02121</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/catboostlss-an-extension-of-catboost-to-probabilistic-forecasting-2001.02121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/catboostlss-an-extension-of-catboost-to-probabilistic-forecasting-2001.02121"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-constrained-learning-for-dose-finding-clinical-trials-2001.02463</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-constrained-learning-for-dose-finding-clinical-trials-2001.02463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-constrained-learning-for-dose-finding-clinical-trials-2001.02463"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-probabilistic-programs-2001.02656</loc><lastmod>2020-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-probabilistic-programs-2001.02656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-probabilistic-programs-2001.02656"/></url>
<url><loc>https://scifaro.com/en/abs/d-gcca-decomposition-based-generalized-canonical-correlation-analysis-for-multi-view-high-dimensional-data-2001.02856</loc><lastmod>2022-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/d-gcca-decomposition-based-generalized-canonical-correlation-analysis-for-multi-view-high-dimensional-data-2001.02856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/d-gcca-decomposition-based-generalized-canonical-correlation-analysis-for-multi-view-high-dimensional-data-2001.02856"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-hyperalignment-for-multi-subject-fmri-data-alignment-2001.02894</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-hyperalignment-for-multi-subject-fmri-data-alignment-2001.02894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-hyperalignment-for-multi-subject-fmri-data-alignment-2001.02894"/></url>
<url><loc>https://scifaro.com/en/abs/resource-efficient-neural-networks-for-embedded-systems-2001.03048</loc><lastmod>2024-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resource-efficient-neural-networks-for-embedded-systems-2001.03048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resource-efficient-neural-networks-for-embedded-systems-2001.03048"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-distinct-effective-treatments-for-acute-hypotension-with-soda-rl-safely-optimized-diverse-accurate-reinforcement-learning-2001.03224</loc><lastmod>2020-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-distinct-effective-treatments-for-acute-hypotension-with-soda-rl-safely-optimized-diverse-accurate-reinforcement-learning-2001.03224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-distinct-effective-treatments-for-acute-hypotension-with-soda-rl-safely-optimized-diverse-accurate-reinforcement-learning-2001.03224"/></url>
<url><loc>https://scifaro.com/en/abs/choosing-the-sample-with-lowest-loss-makes-sgd-robust-2001.03316</loc><lastmod>2020-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/choosing-the-sample-with-lowest-loss-makes-sgd-robust-2001.03316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/choosing-the-sample-with-lowest-loss-makes-sgd-robust-2001.03316"/></url>
<url><loc>https://scifaro.com/en/abs/data-dependence-of-plateau-phenomenon-in-learning-with-neural-network-statistical-mechanical-analysis-2001.03371</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-dependence-of-plateau-phenomenon-in-learning-with-neural-network-statistical-mechanical-analysis-2001.03371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-dependence-of-plateau-phenomenon-in-learning-with-neural-network-statistical-mechanical-analysis-2001.03371"/></url>
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<url><loc>https://scifaro.com/en/abs/multi-complementary-and-unlabeled-learning-for-arbitrary-losses-and-models-2001.04243</loc><lastmod>2020-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-complementary-and-unlabeled-learning-for-arbitrary-losses-and-models-2001.04243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-complementary-and-unlabeled-learning-for-arbitrary-losses-and-models-2001.04243"/></url>
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<url><loc>https://scifaro.com/en/abs/a-deep-learning-based-bayesian-approach-to-seismic-imaging-and-uncertainty-quantification-2001.04567</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-based-bayesian-approach-to-seismic-imaging-and-uncertainty-quantification-2001.04567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-based-bayesian-approach-to-seismic-imaging-and-uncertainty-quantification-2001.04567"/></url>
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<url><loc>https://scifaro.com/en/abs/bayesian-inversion-of-generative-models-for-geologic-storage-of-carbon-dioxide-2001.04829</loc><lastmod>2020-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inversion-of-generative-models-for-geologic-storage-of-carbon-dioxide-2001.04829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inversion-of-generative-models-for-geologic-storage-of-carbon-dioxide-2001.04829"/></url>
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<url><loc>https://scifaro.com/en/abs/resolving-learning-rates-adaptively-by-locating-stochastic-non-negative-associated-gradient-projection-points-using-line-searches-2001.05113</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resolving-learning-rates-adaptively-by-locating-stochastic-non-negative-associated-gradient-projection-points-using-line-searches-2001.05113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resolving-learning-rates-adaptively-by-locating-stochastic-non-negative-associated-gradient-projection-points-using-line-searches-2001.05113"/></url>
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<url><loc>https://scifaro.com/en/abs/physics-informed-deep-learning-for-transport-in-porous-media-buckley-leverett-problem-2001.05172</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-deep-learning-for-transport-in-porous-media-buckley-leverett-problem-2001.05172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-deep-learning-for-transport-in-porous-media-buckley-leverett-problem-2001.05172"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-sparse-variational-gaussian-processes-2001.05363</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-sparse-variational-gaussian-processes-2001.05363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-sparse-variational-gaussian-processes-2001.05363"/></url>
<url><loc>https://scifaro.com/en/abs/support-recovery-and-sup-norm-convergence-rates-for-sparse-pivotal-estimation-2001.05401</loc><lastmod>2020-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/support-recovery-and-sup-norm-convergence-rates-for-sparse-pivotal-estimation-2001.05401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/support-recovery-and-sup-norm-convergence-rates-for-sparse-pivotal-estimation-2001.05401"/></url>
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<url><loc>https://scifaro.com/en/abs/network-based-models-for-social-recommender-systems-2002.03700</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-based-models-for-social-recommender-systems-2002.03700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-based-models-for-social-recommender-systems-2002.03700"/></url>
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<url><loc>https://scifaro.com/en/abs/missing-data-imputation-using-optimal-transport-2002.03860</loc><lastmod>2020-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/missing-data-imputation-using-optimal-transport-2002.03860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/missing-data-imputation-using-optimal-transport-2002.03860"/></url>
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<url><loc>https://scifaro.com/en/abs/calibrate-and-prune-improving-reliability-of-lottery-tickets-through-prediction-calibration-2002.03875</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrate-and-prune-improving-reliability-of-lottery-tickets-through-prediction-calibration-2002.03875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrate-and-prune-improving-reliability-of-lottery-tickets-through-prediction-calibration-2002.03875"/></url>
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<url><loc>https://scifaro.com/en/abs/statistically-efficient-off-policy-policy-gradients-2002.04014</loc><lastmod>2020-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistically-efficient-off-policy-policy-gradients-2002.04014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistically-efficient-off-policy-policy-gradients-2002.04014"/></url>
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<url><loc>https://scifaro.com/en/abs/on-transfer-learning-of-neural-networks-using-bi-fidelity-data-for-uncertainty-propagation-2002.04495</loc><lastmod>2020-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-transfer-learning-of-neural-networks-using-bi-fidelity-data-for-uncertainty-propagation-2002.04495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-transfer-learning-of-neural-networks-using-bi-fidelity-data-for-uncertainty-propagation-2002.04495"/></url>
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<url><loc>https://scifaro.com/en/abs/inverted-file-k-means-clustering-performance-analysis-2002.09094</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverted-file-k-means-clustering-performance-analysis-2002.09094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverted-file-k-means-clustering-performance-analysis-2002.09094"/></url>
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<url><loc>https://scifaro.com/en/abs/interpolation-and-learning-with-scale-dependent-kernels-2006.09984</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpolation-and-learning-with-scale-dependent-kernels-2006.09984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpolation-and-learning-with-scale-dependent-kernels-2006.09984"/></url>
<url><loc>https://scifaro.com/en/abs/classifier-independent-lower-bounds-for-adversarial-robustness-2006.09989</loc><lastmod>2020-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifier-independent-lower-bounds-for-adversarial-robustness-2006.09989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifier-independent-lower-bounds-for-adversarial-robustness-2006.09989"/></url>
<url><loc>https://scifaro.com/en/abs/the-nystr-om-method-for-convex-loss-functions-2006.10016</loc><lastmod>2025-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-nystr-om-method-for-convex-loss-functions-2006.10016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-nystr-om-method-for-convex-loss-functions-2006.10016"/></url>
<url><loc>https://scifaro.com/en/abs/moflow-an-invertible-flow-model-for-generating-molecular-graphs-2006.10137</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moflow-an-invertible-flow-model-for-generating-molecular-graphs-2006.10137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moflow-an-invertible-flow-model-for-generating-molecular-graphs-2006.10137"/></url>
<url><loc>https://scifaro.com/en/abs/mat-ern-gaussian-processes-on-riemannian-manifolds-2006.10160</loc><lastmod>2023-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mat-ern-gaussian-processes-on-riemannian-manifolds-2006.10160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mat-ern-gaussian-processes-on-riemannian-manifolds-2006.10160"/></url>
<url><loc>https://scifaro.com/en/abs/variational-state-space-models-for-localisation-and-dense-3d-mapping-in-6-dof-2006.10178</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-state-space-models-for-localisation-and-dense-3d-mapping-in-6-dof-2006.10178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-state-space-models-for-localisation-and-dense-3d-mapping-in-6-dof-2006.10178"/></url>
<url><loc>https://scifaro.com/en/abs/neural-manifold-ordinary-differential-equations-2006.10254</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-manifold-ordinary-differential-equations-2006.10254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-manifold-ordinary-differential-equations-2006.10254"/></url>
<url><loc>https://scifaro.com/en/abs/guarantees-for-hierarchical-clustering-by-the-sublevel-set-method-2006.10274</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guarantees-for-hierarchical-clustering-by-the-sublevel-set-method-2006.10274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guarantees-for-hierarchical-clustering-by-the-sublevel-set-method-2006.10274"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-nonlinear-system-identification-with-guarantees-2006.10277</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-nonlinear-system-identification-with-guarantees-2006.10277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-nonlinear-system-identification-with-guarantees-2006.10277"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-sample-efficient-interval-estimation-with-control-variates-2006.10287</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-sample-efficient-interval-estimation-with-control-variates-2006.10287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-sample-efficient-interval-estimation-with-control-variates-2006.10287"/></url>
<url><loc>https://scifaro.com/en/abs/individual-calibration-with-randomized-forecasting-2006.10288</loc><lastmod>2020-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/individual-calibration-with-randomized-forecasting-2006.10288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/individual-calibration-with-randomized-forecasting-2006.10288"/></url>
<url><loc>https://scifaro.com/en/abs/when-ot-meets-mom-robust-estimation-of-wasserstein-distance-2006.10325</loc><lastmod>2022-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-ot-meets-mom-robust-estimation-of-wasserstein-distance-2006.10325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-ot-meets-mom-robust-estimation-of-wasserstein-distance-2006.10325"/></url>
<url><loc>https://scifaro.com/en/abs/median-matrix-completion-from-embarrassment-to-optimality-2006.10400</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/median-matrix-completion-from-embarrassment-to-optimality-2006.10400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/median-matrix-completion-from-embarrassment-to-optimality-2006.10400"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-autoregressive-tensor-completion-for-multivariate-time-series-forecasting-2006.10436</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-autoregressive-tensor-completion-for-multivariate-time-series-forecasting-2006.10436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-autoregressive-tensor-completion-for-multivariate-time-series-forecasting-2006.10436"/></url>
<url><loc>https://scifaro.com/en/abs/what-do-neural-networks-learn-when-trained-with-random-labels-2006.10455</loc><lastmod>2020-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-do-neural-networks-learn-when-trained-with-random-labels-2006.10455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-do-neural-networks-learn-when-trained-with-random-labels-2006.10455"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-bandits-with-arm-dependent-delays-2006.10459</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-bandits-with-arm-dependent-delays-2006.10459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-bandits-with-arm-dependent-delays-2006.10459"/></url>
<url><loc>https://scifaro.com/en/abs/infinite-attention-nngp-and-ntk-for-deep-attention-networks-2006.10540</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infinite-attention-nngp-and-ntk-for-deep-attention-networks-2006.10540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infinite-attention-nngp-and-ntk-for-deep-attention-networks-2006.10540"/></url>
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<url><loc>https://scifaro.com/en/abs/variational-autoencoder-with-learned-latent-structure-2006.10597</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-autoencoder-with-learned-latent-structure-2006.10597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-autoencoder-with-learned-latent-structure-2006.10597"/></url>
<url><loc>https://scifaro.com/en/abs/riemannian-continuous-normalizing-flows-2006.10605</loc><lastmod>2020-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/riemannian-continuous-normalizing-flows-2006.10605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/riemannian-continuous-normalizing-flows-2006.10605"/></url>
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<url><loc>https://scifaro.com/en/abs/understanding-recurrent-neural-networks-using-nonequilibrium-response-theory-2006.11052</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-recurrent-neural-networks-using-nonequilibrium-response-theory-2006.11052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-recurrent-neural-networks-using-nonequilibrium-response-theory-2006.11052"/></url>
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<url><loc>https://scifaro.com/en/abs/probability-link-models-with-symmetric-information-divergence-2008.04387</loc><lastmod>2020-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probability-link-models-with-symmetric-information-divergence-2008.04387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probability-link-models-with-symmetric-information-divergence-2008.04387"/></url>
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<url><loc>https://scifaro.com/en/abs/social-media-unrest-prediction-during-the-covid-19-pandemic-neural-implicit-motive-pattern-recognition-as-psychometric-signs-of-severe-crises-2012.04586</loc><lastmod>2020-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/social-media-unrest-prediction-during-the-covid-19-pandemic-neural-implicit-motive-pattern-recognition-as-psychometric-signs-of-severe-crises-2012.04586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/social-media-unrest-prediction-during-the-covid-19-pandemic-neural-implicit-motive-pattern-recognition-as-psychometric-signs-of-severe-crises-2012.04586"/></url>
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<url><loc>https://scifaro.com/en/abs/hard-and-soft-em-in-bayesian-network-learning-from-incomplete-data-2012.05269</loc><lastmod>2025-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hard-and-soft-em-in-bayesian-network-learning-from-incomplete-data-2012.05269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hard-and-soft-em-in-bayesian-network-learning-from-incomplete-data-2012.05269"/></url>
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<url><loc>https://scifaro.com/en/abs/neural-dynamic-mode-decomposition-for-end-to-end-modeling-of-nonlinear-dynamics-2012.06191</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-dynamic-mode-decomposition-for-end-to-end-modeling-of-nonlinear-dynamics-2012.06191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-dynamic-mode-decomposition-for-end-to-end-modeling-of-nonlinear-dynamics-2012.06191"/></url>
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<url><loc>https://scifaro.com/en/abs/parameter-estimation-with-dense-and-convolutional-neural-networks-applied-to-the-fitzhugh-nagumo-ode-2012.06691</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-estimation-with-dense-and-convolutional-neural-networks-applied-to-the-fitzhugh-nagumo-ode-2012.06691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-estimation-with-dense-and-convolutional-neural-networks-applied-to-the-fitzhugh-nagumo-ode-2012.06691"/></url>
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<url><loc>https://scifaro.com/en/abs/unfolded-algorithms-for-deep-phase-retrieval-2012.11102</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unfolded-algorithms-for-deep-phase-retrieval-2012.11102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unfolded-algorithms-for-deep-phase-retrieval-2012.11102"/></url>
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<url><loc>https://scifaro.com/en/abs/adversarial-training-for-a-continuous-robustness-control-problem-in-power-systems-2012.11390</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-training-for-a-continuous-robustness-control-problem-in-power-systems-2012.11390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-training-for-a-continuous-robustness-control-problem-in-power-systems-2012.11390"/></url>
<url><loc>https://scifaro.com/en/abs/zeroth-order-hybrid-gradient-descent-towards-a-principled-black-box-optimization-framework-2012.11518</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zeroth-order-hybrid-gradient-descent-towards-a-principled-black-box-optimization-framework-2012.11518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zeroth-order-hybrid-gradient-descent-towards-a-principled-black-box-optimization-framework-2012.11518"/></url>
<url><loc>https://scifaro.com/en/abs/tight-bounds-on-the-smallest-eigenvalue-of-the-neural-tangent-kernel-for-deep-relu-networks-2012.11654</loc><lastmod>2022-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-bounds-on-the-smallest-eigenvalue-of-the-neural-tangent-kernel-for-deep-relu-networks-2012.11654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-bounds-on-the-smallest-eigenvalue-of-the-neural-tangent-kernel-for-deep-relu-networks-2012.11654"/></url>
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<url><loc>https://scifaro.com/en/abs/unbiased-subdata-selection-for-fair-classification-a-unified-framework-and-scalable-algorithms-2012.12356</loc><lastmod>2020-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-subdata-selection-for-fair-classification-a-unified-framework-and-scalable-algorithms-2012.12356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-subdata-selection-for-fair-classification-a-unified-framework-and-scalable-algorithms-2012.12356"/></url>
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<url><loc>https://scifaro.com/en/abs/fast-covariance-parameter-estimation-of-spatial-gaussian-process-models-using-neural-networks-2012.15339</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-covariance-parameter-estimation-of-spatial-gaussian-process-models-using-neural-networks-2012.15339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-covariance-parameter-estimation-of-spatial-gaussian-process-models-using-neural-networks-2012.15339"/></url>
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<url><loc>https://scifaro.com/en/abs/informative-core-identification-in-complex-networks-2101.06388</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/informative-core-identification-in-complex-networks-2101.06388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/informative-core-identification-in-complex-networks-2101.06388"/></url>
<url><loc>https://scifaro.com/en/abs/a-renormalization-group-approach-to-connect-discrete-and-continuous-time-descriptions-of-gaussian-processes-2101.06482</loc><lastmod>2022-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-renormalization-group-approach-to-connect-discrete-and-continuous-time-descriptions-of-gaussian-processes-2101.06482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-renormalization-group-approach-to-connect-discrete-and-continuous-time-descriptions-of-gaussian-processes-2101.06482"/></url>
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<url><loc>https://scifaro.com/en/abs/multi-view-data-visualisation-via-manifold-learning-2101.06763</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-data-visualisation-via-manifold-learning-2101.06763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-data-visualisation-via-manifold-learning-2101.06763"/></url>
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<url><loc>https://scifaro.com/en/abs/interactive-slice-visualization-for-exploring-machine-learning-models-2101.06986</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interactive-slice-visualization-for-exploring-machine-learning-models-2101.06986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interactive-slice-visualization-for-exploring-machine-learning-models-2101.06986"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-bias-and-increasing-utility-by-federated-generative-modeling-of-medical-images-using-a-centralized-adversary-2101.07235</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-bias-and-increasing-utility-by-federated-generative-modeling-of-medical-images-using-a-centralized-adversary-2101.07235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-bias-and-increasing-utility-by-federated-generative-modeling-of-medical-images-using-a-centralized-adversary-2101.07235"/></url>
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<url><loc>https://scifaro.com/en/abs/performance-analysis-of-greedy-algorithms-for-minimising-a-maximum-mean-discrepancy-2101.07564</loc><lastmod>2022-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-analysis-of-greedy-algorithms-for-minimising-a-maximum-mean-discrepancy-2101.07564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-analysis-of-greedy-algorithms-for-minimising-a-maximum-mean-discrepancy-2101.07564"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-and-tuning-of-hierarchical-topic-models-based-on-renyi-entropy-approach-2101.07598</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-and-tuning-of-hierarchical-topic-models-based-on-renyi-entropy-approach-2101.07598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-and-tuning-of-hierarchical-topic-models-based-on-renyi-entropy-approach-2101.07598"/></url>
<url><loc>https://scifaro.com/en/abs/utilizing-import-vector-machines-to-identify-dangerous-pro-active-traffic-conditions-2101.07683</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/utilizing-import-vector-machines-to-identify-dangerous-pro-active-traffic-conditions-2101.07683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/utilizing-import-vector-machines-to-identify-dangerous-pro-active-traffic-conditions-2101.07683"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-off-policy-evaluation-for-multi-armed-bandits-2101.07781</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-off-policy-evaluation-for-multi-armed-bandits-2101.07781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-off-policy-evaluation-for-multi-armed-bandits-2101.07781"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-regret-bounds-for-contextual-combinatorial-semi-bandits-with-linear-payoff-functions-2101.07957</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-regret-bounds-for-contextual-combinatorial-semi-bandits-with-linear-payoff-functions-2101.07957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-regret-bounds-for-contextual-combinatorial-semi-bandits-with-linear-payoff-functions-2101.07957"/></url>
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<url><loc>https://scifaro.com/en/abs/boosting-in-univariate-nonparametric-maximum-likelihood-estimation-2101.08505</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-in-univariate-nonparametric-maximum-likelihood-estimation-2101.08505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-in-univariate-nonparametric-maximum-likelihood-estimation-2101.08505"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-pure-exploration-for-combinatorial-bandits-with-semi-bandit-feedback-2101.08534</loc><lastmod>2021-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-pure-exploration-for-combinatorial-bandits-with-semi-bandit-feedback-2101.08534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-pure-exploration-for-combinatorial-bandits-with-semi-bandit-feedback-2101.08534"/></url>
<url><loc>https://scifaro.com/en/abs/sga-a-robust-algorithm-for-partial-recovery-of-tree-structured-graphical-models-with-noisy-samples-2101.08917</loc><lastmod>2021-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sga-a-robust-algorithm-for-partial-recovery-of-tree-structured-graphical-models-with-noisy-samples-2101.08917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sga-a-robust-algorithm-for-partial-recovery-of-tree-structured-graphical-models-with-noisy-samples-2101.08917"/></url>
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<url><loc>https://scifaro.com/en/abs/will-artificial-intelligence-supersede-earth-system-and-climate-models-2101.09126</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/will-artificial-intelligence-supersede-earth-system-and-climate-models-2101.09126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/will-artificial-intelligence-supersede-earth-system-and-climate-models-2101.09126"/></url>
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<url><loc>https://scifaro.com/en/abs/low-rank-forecasting-2101.12414</loc><lastmod>2021-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-forecasting-2101.12414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-forecasting-2101.12414"/></url>
<url><loc>https://scifaro.com/en/abs/covariance-prediction-via-convex-optimization-2101.12416</loc><lastmod>2021-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covariance-prediction-via-convex-optimization-2101.12416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covariance-prediction-via-convex-optimization-2101.12416"/></url>
<url><loc>https://scifaro.com/en/abs/total-stability-of-svms-and-localized-svms-2101.12678</loc><lastmod>2021-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/total-stability-of-svms-and-localized-svms-2101.12678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/total-stability-of-svms-and-localized-svms-2101.12678"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-stability-of-random-matrix-product-with-markovian-noise-application-to-linear-stochastic-approximation-and-td-learning-2102.00185</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-stability-of-random-matrix-product-with-markovian-noise-application-to-linear-stochastic-approximation-and-td-learning-2102.00185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-stability-of-random-matrix-product-with-markovian-noise-application-to-linear-stochastic-approximation-and-td-learning-2102.00185"/></url>
<url><loc>https://scifaro.com/en/abs/synthetic-dataset-generation-of-driver-telematics-2102.00252</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synthetic-dataset-generation-of-driver-telematics-2102.00252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synthetic-dataset-generation-of-driver-telematics-2102.00252"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-the-signs-nonparametric-tensor-completion-via-sign-series-2102.00384</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-the-signs-nonparametric-tensor-completion-via-sign-series-2102.00384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-the-signs-nonparametric-tensor-completion-via-sign-series-2102.00384"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-non-stationary-bandits-2102.00725</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-non-stationary-bandits-2102.00725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-non-stationary-bandits-2102.00725"/></url>
<url><loc>https://scifaro.com/en/abs/fast-rates-in-structured-prediction-2102.00760</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-rates-in-structured-prediction-2102.00760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-rates-in-structured-prediction-2102.00760"/></url>
<url><loc>https://scifaro.com/en/abs/crps-learning-2102.00968</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crps-learning-2102.00968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crps-learning-2102.00968"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistician-teaches-deep-learning-2102.01194</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistician-teaches-deep-learning-2102.01194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistician-teaches-deep-learning-2102.01194"/></url>
<url><loc>https://scifaro.com/en/abs/causal-inference-with-the-instrumental-variable-approach-and-bayesian-nonparametric-machine-learning-2102.01199</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-inference-with-the-instrumental-variable-approach-and-bayesian-nonparametric-machine-learning-2102.01199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-inference-with-the-instrumental-variable-approach-and-bayesian-nonparametric-machine-learning-2102.01199"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-robust-thompson-sampling-for-linear-payoffs-2102.01229</loc><lastmod>2023-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-robust-thompson-sampling-for-linear-payoffs-2102.01229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-robust-thompson-sampling-for-linear-payoffs-2102.01229"/></url>
<url><loc>https://scifaro.com/en/abs/time-adaptive-gaussian-model-2102.01238</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-adaptive-gaussian-model-2102.01238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-adaptive-gaussian-model-2102.01238"/></url>
<url><loc>https://scifaro.com/en/abs/stability-and-generalization-of-the-decentralized-stochastic-gradient-descent-2102.01302</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-and-generalization-of-the-decentralized-stochastic-gradient-descent-2102.01302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-and-generalization-of-the-decentralized-stochastic-gradient-descent-2102.01302"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-data-driven-discovery-of-partial-differential-equations-with-variable-coefficients-2102.01432</loc><lastmod>2024-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-data-driven-discovery-of-partial-differential-equations-with-variable-coefficients-2102.01432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-data-driven-discovery-of-partial-differential-equations-with-variable-coefficients-2102.01432"/></url>
<url><loc>https://scifaro.com/en/abs/individual-dynamic-prediction-of-clinical-endpoint-from-large-dimensional-longitudinal-biomarker-history-a-landmark-approach-2102.01466</loc><lastmod>2024-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/individual-dynamic-prediction-of-clinical-endpoint-from-large-dimensional-longitudinal-biomarker-history-a-landmark-approach-2102.01466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/individual-dynamic-prediction-of-clinical-endpoint-from-large-dimensional-longitudinal-biomarker-history-a-landmark-approach-2102.01466"/></url>
<url><loc>https://scifaro.com/en/abs/policy-analysis-using-synthetic-controls-in-continuous-time-2102.01577</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-analysis-using-synthetic-controls-in-continuous-time-2102.01577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-analysis-using-synthetic-controls-in-continuous-time-2102.01577"/></url>
<url><loc>https://scifaro.com/en/abs/exact-langevin-dynamics-with-stochastic-gradients-2102.01691</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-langevin-dynamics-with-stochastic-gradients-2102.01691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-langevin-dynamics-with-stochastic-gradients-2102.01691"/></url>
<url><loc>https://scifaro.com/en/abs/majorizing-measures-sequential-complexities-and-online-learning-2102.01729</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/majorizing-measures-sequential-complexities-and-online-learning-2102.01729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/majorizing-measures-sequential-complexities-and-online-learning-2102.01729"/></url>
<url><loc>https://scifaro.com/en/abs/noise-robust-classification-with-hypergraph-neural-network-2102.01934</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-robust-classification-with-hypergraph-neural-network-2102.01934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-robust-classification-with-hypergraph-neural-network-2102.01934"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-classification-via-topological-data-analysis-2102.01956</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-classification-via-topological-data-analysis-2102.01956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-classification-via-topological-data-analysis-2102.01956"/></url>
<url><loc>https://scifaro.com/en/abs/learning-noise-transition-matrix-from-only-noisy-labels-via-total-variation-regularization-2102.02414</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-noise-transition-matrix-from-only-noisy-labels-via-total-variation-regularization-2102.02414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-noise-transition-matrix-from-only-noisy-labels-via-total-variation-regularization-2102.02414"/></url>
<url><loc>https://scifaro.com/en/abs/from-a-point-cloud-to-a-simulation-model-bayesian-segmentation-and-entropy-based-uncertainty-estimation-for-3d-modelling-2102.02488</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-a-point-cloud-to-a-simulation-model-bayesian-segmentation-and-entropy-based-uncertainty-estimation-for-3d-modelling-2102.02488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-a-point-cloud-to-a-simulation-model-bayesian-segmentation-and-entropy-based-uncertainty-estimation-for-3d-modelling-2102.02488"/></url>
<url><loc>https://scifaro.com/en/abs/meta-strategy-for-learning-tuning-parameters-with-guarantees-2102.02504</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-strategy-for-learning-tuning-parameters-with-guarantees-2102.02504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-strategy-for-learning-tuning-parameters-with-guarantees-2102.02504"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotically-exact-and-fast-gaussian-copula-models-for-imputation-of-mixed-data-types-2102.02642</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotically-exact-and-fast-gaussian-copula-models-for-imputation-of-mixed-data-types-2102.02642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotically-exact-and-fast-gaussian-copula-models-for-imputation-of-mixed-data-types-2102.02642"/></url>
<url><loc>https://scifaro.com/en/abs/impossibility-of-partial-recovery-in-the-graph-alignment-problem-2102.02685</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/impossibility-of-partial-recovery-in-the-graph-alignment-problem-2102.02685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/impossibility-of-partial-recovery-in-the-graph-alignment-problem-2102.02685"/></url>
<url><loc>https://scifaro.com/en/abs/invertible-densenets-with-concatenated-lipswish-2102.02694</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invertible-densenets-with-concatenated-lipswish-2102.02694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invertible-densenets-with-concatenated-lipswish-2102.02694"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-independent-component-analysis-for-discrete-time-and-continuous-time-signals-2102.02876</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-independent-component-analysis-for-discrete-time-and-continuous-time-signals-2102.02876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-independent-component-analysis-for-discrete-time-and-continuous-time-signals-2102.02876"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-training-makes-weight-loss-landscape-sharper-in-logistic-regression-2102.02950</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-training-makes-weight-loss-landscape-sharper-in-logistic-regression-2102.02950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-training-makes-weight-loss-landscape-sharper-in-logistic-regression-2102.02950"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-for-noisy-iterative-algorithms-using-properties-of-additive-noise-channels-2102.02976</loc><lastmod>2022-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-for-noisy-iterative-algorithms-using-properties-of-additive-noise-channels-2102.02976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-for-noisy-iterative-algorithms-using-properties-of-additive-noise-channels-2102.02976"/></url>
<url><loc>https://scifaro.com/en/abs/the-fourier-discrepancy-function-2102.02979</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-fourier-discrepancy-function-2102.02979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-fourier-discrepancy-function-2102.02979"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-sparse-normal-means-estimation-with-sublinear-communication-2102.03060</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-sparse-normal-means-estimation-with-sublinear-communication-2102.03060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-sparse-normal-means-estimation-with-sublinear-communication-2102.03060"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-multiscale-deep-generative-model-for-the-solution-of-high-dimensional-inverse-problems-2102.03169</loc><lastmod>2022-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-multiscale-deep-generative-model-for-the-solution-of-high-dimensional-inverse-problems-2102.03169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-multiscale-deep-generative-model-for-the-solution-of-high-dimensional-inverse-problems-2102.03169"/></url>
<url><loc>https://scifaro.com/en/abs/vilt-vision-and-language-transformer-without-convolution-or-region-supervision-2102.03334</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vilt-vision-and-language-transformer-without-convolution-or-region-supervision-2102.03334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vilt-vision-and-language-transformer-without-convolution-or-region-supervision-2102.03334"/></url>
<url><loc>https://scifaro.com/en/abs/robust-principal-component-analysis-a-median-of-means-approach-2102.03403</loc><lastmod>2023-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-principal-component-analysis-a-median-of-means-approach-2102.03403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-principal-component-analysis-a-median-of-means-approach-2102.03403"/></url>
<url><loc>https://scifaro.com/en/abs/advanced-stationary-and-non-stationary-kernel-designs-for-domain-aware-gaussian-processes-2102.03432</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advanced-stationary-and-non-stationary-kernel-designs-for-domain-aware-gaussian-processes-2102.03432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advanced-stationary-and-non-stationary-kernel-designs-for-domain-aware-gaussian-processes-2102.03432"/></url>
<url><loc>https://scifaro.com/en/abs/exclusive-topic-modeling-2102.03525</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exclusive-topic-modeling-2102.03525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exclusive-topic-modeling-2102.03525"/></url>
<url><loc>https://scifaro.com/en/abs/bootstrapping-fitted-q-evaluation-for-off-policy-inference-2102.03607</loc><lastmod>2022-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bootstrapping-fitted-q-evaluation-for-off-policy-inference-2102.03607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bootstrapping-fitted-q-evaluation-for-off-policy-inference-2102.03607"/></url>
<url><loc>https://scifaro.com/en/abs/infinite-channel-deep-stable-convolutional-neural-networks-2102.03739</loc><lastmod>2024-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infinite-channel-deep-stable-convolutional-neural-networks-2102.03739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infinite-channel-deep-stable-convolutional-neural-networks-2102.03739"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-nonparametric-approach-to-count-min-sketch-under-power-law-data-streams-2102.03743</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-nonparametric-approach-to-count-min-sketch-under-power-law-data-streams-2102.03743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-nonparametric-approach-to-count-min-sketch-under-power-law-data-streams-2102.03743"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-mathematical-framework-to-inform-neural-network-modelling-via-polynomial-regression-2102.03865</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-mathematical-framework-to-inform-neural-network-modelling-via-polynomial-regression-2102.03865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-mathematical-framework-to-inform-neural-network-modelling-via-polynomial-regression-2102.03865"/></url>
<url><loc>https://scifaro.com/en/abs/functional-optimal-transport-map-estimation-and-domain-adaptation-for-functional-data-2102.03895</loc><lastmod>2023-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-optimal-transport-map-estimation-and-domain-adaptation-for-functional-data-2102.03895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-optimal-transport-map-estimation-and-domain-adaptation-for-functional-data-2102.03895"/></url>
<url><loc>https://scifaro.com/en/abs/causal-versions-of-maximum-entropy-and-principle-of-insufficient-reason-2102.03906</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-versions-of-maximum-entropy-and-principle-of-insufficient-reason-2102.03906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-versions-of-maximum-entropy-and-principle-of-insufficient-reason-2102.03906"/></url>
<url><loc>https://scifaro.com/en/abs/latent-map-gaussian-processes-for-mixed-variable-metamodeling-2102.03935</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-map-gaussian-processes-for-mixed-variable-metamodeling-2102.03935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-map-gaussian-processes-for-mixed-variable-metamodeling-2102.03935"/></url>
<url><loc>https://scifaro.com/en/abs/determinantal-consensus-clustering-2102.03948</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/determinantal-consensus-clustering-2102.03948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/determinantal-consensus-clustering-2102.03948"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-generate-fair-clusters-from-demonstrations-2102.03977</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-generate-fair-clusters-from-demonstrations-2102.03977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-generate-fair-clusters-from-demonstrations-2102.03977"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-distributionally-robust-level-set-estimation-2102.04000</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-distributionally-robust-level-set-estimation-2102.04000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-distributionally-robust-level-set-estimation-2102.04000"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-sasvi-strong-safe-screening-for-norm-regularized-least-squares-2102.04108</loc><lastmod>2022-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-sasvi-strong-safe-screening-for-norm-regularized-least-squares-2102.04108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-sasvi-strong-safe-screening-for-norm-regularized-least-squares-2102.04108"/></url>
<url><loc>https://scifaro.com/en/abs/eigengame-unloaded-when-playing-games-is-better-than-optimizing-2102.04152</loc><lastmod>2022-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eigengame-unloaded-when-playing-games-is-better-than-optimizing-2102.04152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eigengame-unloaded-when-playing-games-is-better-than-optimizing-2102.04152"/></url>
<url><loc>https://scifaro.com/en/abs/concentration-of-non-isotropic-random-tensors-with-applications-to-learning-and-empirical-risk-minimization-2102.04259</loc><lastmod>2025-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concentration-of-non-isotropic-random-tensors-with-applications-to-learning-and-empirical-risk-minimization-2102.04259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concentration-of-non-isotropic-random-tensors-with-applications-to-learning-and-empirical-risk-minimization-2102.04259"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-ensemble-langevin-monte-carlo-2102.04279</loc><lastmod>2025-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-ensemble-langevin-monte-carlo-2102.04279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-ensemble-langevin-monte-carlo-2102.04279"/></url>
<url><loc>https://scifaro.com/en/abs/the-limits-of-computation-in-solving-equity-trade-offs-in-machine-learning-and-justice-system-risk-assessment-2102.04342</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-limits-of-computation-in-solving-equity-trade-offs-in-machine-learning-and-justice-system-risk-assessment-2102.04342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-limits-of-computation-in-solving-equity-trade-offs-in-machine-learning-and-justice-system-risk-assessment-2102.04342"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-the-effectiveness-of-face-coverings-on-the-death-ratio-of-covid-19-using-machine-learning-2102.04419</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-the-effectiveness-of-face-coverings-on-the-death-ratio-of-covid-19-using-machine-learning-2102.04419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-the-effectiveness-of-face-coverings-on-the-death-ratio-of-covid-19-using-machine-learning-2102.04419"/></url>
<url><loc>https://scifaro.com/en/abs/concentrated-document-topic-model-2102.04449</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concentrated-document-topic-model-2102.04449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concentrated-document-topic-model-2102.04449"/></url>
<url><loc>https://scifaro.com/en/abs/learning-augmented-count-min-sketches-via-bayesian-nonparametrics-2102.04462</loc><lastmod>2022-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-augmented-count-min-sketches-via-bayesian-nonparametrics-2102.04462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-augmented-count-min-sketches-via-bayesian-nonparametrics-2102.04462"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-for-koopman-spectral-analysis-with-short-time-series-2102.04683</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-for-koopman-spectral-analysis-with-short-time-series-2102.04683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-for-koopman-spectral-analysis-with-short-time-series-2102.04683"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-imbalanced-credit-scoring-data-sets-based-on-ensemble-method-with-the-weighted-hybrid-sampling-2102.04721</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-imbalanced-credit-scoring-data-sets-based-on-ensemble-method-with-the-weighted-hybrid-sampling-2102.04721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-imbalanced-credit-scoring-data-sets-based-on-ensemble-method-with-the-weighted-hybrid-sampling-2102.04721"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-variational-inference-with-cascading-flows-2102.04801</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-variational-inference-with-cascading-flows-2102.04801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-variational-inference-with-cascading-flows-2102.04801"/></url>
<url><loc>https://scifaro.com/en/abs/noisy-recurrent-neural-networks-2102.04877</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisy-recurrent-neural-networks-2102.04877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisy-recurrent-neural-networks-2102.04877"/></url>
<url><loc>https://scifaro.com/en/abs/when-does-gradient-descent-with-logistic-loss-interpolate-using-deep-networks-with-smoothed-relu-activations-2102.04998</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-does-gradient-descent-with-logistic-loss-interpolate-using-deep-networks-with-smoothed-relu-activations-2102.04998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-does-gradient-descent-with-logistic-loss-interpolate-using-deep-networks-with-smoothed-relu-activations-2102.04998"/></url>
<url><loc>https://scifaro.com/en/abs/emotion-transfer-using-vector-valued-infinite-task-learning-2102.05075</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emotion-transfer-using-vector-valued-infinite-task-learning-2102.05075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emotion-transfer-using-vector-valued-infinite-task-learning-2102.05075"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-strategies-for-quantile-regression-2102.05135</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-strategies-for-quantile-regression-2102.05135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-strategies-for-quantile-regression-2102.05135"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-inference-for-polyak-ruppert-averaged-zeroth-order-stochastic-gradient-algorithm-2102.05198</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-inference-for-polyak-ruppert-averaged-zeroth-order-stochastic-gradient-algorithm-2102.05198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-inference-for-polyak-ruppert-averaged-zeroth-order-stochastic-gradient-algorithm-2102.05198"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-loss-and-deep-euler-scheme-for-time-series-generation-2102.05313</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-loss-and-deep-euler-scheme-for-time-series-generation-2102.05313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-loss-and-deep-euler-scheme-for-time-series-generation-2102.05313"/></url>
<url><loc>https://scifaro.com/en/abs/argmax-flows-and-multinomial-diffusion-learning-categorical-distributions-2102.05379</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/argmax-flows-and-multinomial-diffusion-learning-categorical-distributions-2102.05379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/argmax-flows-and-multinomial-diffusion-learning-categorical-distributions-2102.05379"/></url>
<url><loc>https://scifaro.com/en/abs/robust-estimation-of-tree-structured-models-2102.05472</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-estimation-of-tree-structured-models-2102.05472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-estimation-of-tree-structured-models-2102.05472"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-suboptimality-of-thompson-sampling-in-high-dimensions-2102.05502</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-suboptimality-of-thompson-sampling-in-high-dimensions-2102.05502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-suboptimality-of-thompson-sampling-in-high-dimensions-2102.05502"/></url>
<url><loc>https://scifaro.com/en/abs/on-disentanglement-in-gaussian-process-variational-autoencoders-2102.05507</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-disentanglement-in-gaussian-process-variational-autoencoders-2102.05507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-disentanglement-in-gaussian-process-variational-autoencoders-2102.05507"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-existence-of-optimal-transport-gradient-for-learning-generative-models-2102.05542</loc><lastmod>2024-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-existence-of-optimal-transport-gradient-for-learning-generative-models-2102.05542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-existence-of-optimal-transport-gradient-for-learning-generative-models-2102.05542"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-regularity-of-attention-2102.05628</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-regularity-of-attention-2102.05628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-regularity-of-attention-2102.05628"/></url>
<url><loc>https://scifaro.com/en/abs/an-exact-solver-for-the-weston-watkins-svm-subproblem-2102.05640</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-exact-solver-for-the-weston-watkins-svm-subproblem-2102.05640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-exact-solver-for-the-weston-watkins-svm-subproblem-2102.05640"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-change-point-detection-for-mutually-exciting-point-processes-over-networks-2102.05724</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-change-point-detection-for-mutually-exciting-point-processes-over-networks-2102.05724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-change-point-detection-for-mutually-exciting-point-processes-over-networks-2102.05724"/></url>
<url><loc>https://scifaro.com/en/abs/lenient-regret-and-good-action-identification-in-gaussian-process-bandits-2102.05793</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lenient-regret-and-good-action-identification-in-gaussian-process-bandits-2102.05793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lenient-regret-and-good-action-identification-in-gaussian-process-bandits-2102.05793"/></url>
<url><loc>https://scifaro.com/en/abs/differential-privacy-dynamics-of-langevin-diffusion-and-noisy-gradient-descent-2102.05855</loc><lastmod>2022-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differential-privacy-dynamics-of-langevin-diffusion-and-noisy-gradient-descent-2102.05855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differential-privacy-dynamics-of-langevin-diffusion-and-noisy-gradient-descent-2102.05855"/></url>
<url><loc>https://scifaro.com/en/abs/on-transportation-of-mini-batches-a-hierarchical-approach-2102.05912</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-transportation-of-mini-batches-a-hierarchical-approach-2102.05912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-transportation-of-mini-batches-a-hierarchical-approach-2102.05912"/></url>
<url><loc>https://scifaro.com/en/abs/comparative-analysis-of-machine-learning-approaches-to-analyze-and-predict-the-covid-19-outbreak-2102.05960</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparative-analysis-of-machine-learning-approaches-to-analyze-and-predict-the-covid-19-outbreak-2102.05960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparative-analysis-of-machine-learning-approaches-to-analyze-and-predict-the-covid-19-outbreak-2102.05960"/></url>
<url><loc>https://scifaro.com/en/abs/a-compositional-atlas-of-tractable-circuit-operations-from-simple-transformations-to-complex-information-theoretic-queries-2102.06137</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-compositional-atlas-of-tractable-circuit-operations-from-simple-transformations-to-complex-information-theoretic-queries-2102.06137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-compositional-atlas-of-tractable-circuit-operations-from-simple-transformations-to-complex-information-theoretic-queries-2102.06137"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bayesian-sequence-to-sequence-networks-for-memory-efficient-sign-language-translation-2102.06143</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayesian-sequence-to-sequence-networks-for-memory-efficient-sign-language-translation-2102.06143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayesian-sequence-to-sequence-networks-for-memory-efficient-sign-language-translation-2102.06143"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-a-directed-tree-for-extremes-2102.06197</loc><lastmod>2023-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-a-directed-tree-for-extremes-2102.06197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-a-directed-tree-for-extremes-2102.06197"/></url>
<url><loc>https://scifaro.com/en/abs/higher-order-generalization-error-for-first-order-discretization-of-langevin-diffusion-2102.06229</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/higher-order-generalization-error-for-first-order-discretization-of-langevin-diffusion-2102.06229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/higher-order-generalization-error-for-first-order-discretization-of-langevin-diffusion-2102.06229"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-ground-metric-learning-using-wasserstein-singular-vectors-2102.06278</loc><lastmod>2022-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-ground-metric-learning-using-wasserstein-singular-vectors-2102.06278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-ground-metric-learning-using-wasserstein-singular-vectors-2102.06278"/></url>
<url><loc>https://scifaro.com/en/abs/hnpe-leveraging-global-parameters-for-neural-posterior-estimation-2102.06477</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hnpe-leveraging-global-parameters-for-neural-posterior-estimation-2102.06477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hnpe-leveraging-global-parameters-for-neural-posterior-estimation-2102.06477"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-integrative-bayesian-neural-networks-for-likelihood-free-parameter-inference-2102.06521</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-integrative-bayesian-neural-networks-for-likelihood-free-parameter-inference-2102.06521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-integrative-bayesian-neural-networks-for-likelihood-free-parameter-inference-2102.06521"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-neural-posterior-and-likelihood-approximation-2102.06522</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-neural-posterior-and-likelihood-approximation-2102.06522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-neural-posterior-and-likelihood-approximation-2102.06522"/></url>
<url><loc>https://scifaro.com/en/abs/is-q-learning-minimax-optimal-a-tight-sample-complexity-analysis-2102.06548</loc><lastmod>2025-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-q-learning-minimax-optimal-a-tight-sample-complexity-analysis-2102.06548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-q-learning-minimax-optimal-a-tight-sample-complexity-analysis-2102.06548"/></url>
<url><loc>https://scifaro.com/en/abs/infinitely-deep-bayesian-neural-networks-with-stochastic-differential-equations-2102.06559</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infinitely-deep-bayesian-neural-networks-with-stochastic-differential-equations-2102.06559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infinitely-deep-bayesian-neural-networks-with-stochastic-differential-equations-2102.06559"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-neural-network-priors-revisited-2102.06571</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-neural-network-priors-revisited-2102.06571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-neural-network-priors-revisited-2102.06571"/></url>
<url><loc>https://scifaro.com/en/abs/pareto-optimal-model-selection-in-linear-bandits-2102.06593</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pareto-optimal-model-selection-in-linear-bandits-2102.06593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pareto-optimal-model-selection-in-linear-bandits-2102.06593"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-similarity-confidence-data-2102.06879</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-similarity-confidence-data-2102.06879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-similarity-confidence-data-2102.06879"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-interval-censored-time-series-for-disease-phenotyping-2102.07005</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-interval-censored-time-series-for-disease-phenotyping-2102.07005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-interval-censored-time-series-for-disease-phenotyping-2102.07005"/></url>
<url><loc>https://scifaro.com/en/abs/asymmetric-heavy-tails-and-implicit-bias-in-gaussian-noise-injections-2102.07006</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymmetric-heavy-tails-and-implicit-bias-in-gaussian-noise-injections-2102.07006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymmetric-heavy-tails-and-implicit-bias-in-gaussian-noise-injections-2102.07006"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-approximations-for-a-class-of-sequential-testing-problems-2102.07030</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-approximations-for-a-class-of-sequential-testing-problems-2102.07030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-approximations-for-a-class-of-sequential-testing-problems-2102.07030"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-efficiency-in-black-box-simulation-of-distribution-tails-with-self-structuring-importance-samplers-2102.07060</loc><lastmod>2023-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-efficiency-in-black-box-simulation-of-distribution-tails-with-self-structuring-importance-samplers-2102.07060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-efficiency-in-black-box-simulation-of-distribution-tails-with-self-structuring-importance-samplers-2102.07060"/></url>
<url><loc>https://scifaro.com/en/abs/healing-products-of-gaussian-processes-2102.07106</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/healing-products-of-gaussian-processes-2102.07106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/healing-products-of-gaussian-processes-2102.07106"/></url>
<url><loc>https://scifaro.com/en/abs/sliced-multi-marginal-optimal-transport-2102.07115</loc><lastmod>2023-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sliced-multi-marginal-optimal-transport-2102.07115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sliced-multi-marginal-optimal-transport-2102.07115"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-density-estimation-via-generalized-dequantization-2102.07143</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-density-estimation-via-generalized-dequantization-2102.07143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-density-estimation-via-generalized-dequantization-2102.07143"/></url>
<url><loc>https://scifaro.com/en/abs/think-global-and-act-local-bayesian-optimisation-over-high-dimensional-categorical-and-mixed-search-spaces-2102.07188</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/think-global-and-act-local-bayesian-optimisation-over-high-dimensional-categorical-and-mixed-search-spaces-2102.07188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/think-global-and-act-local-bayesian-optimisation-over-high-dimensional-categorical-and-mixed-search-spaces-2102.07188"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-designs-of-slope-penalty-sequences-in-finite-dimension-2102.07211</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-designs-of-slope-penalty-sequences-in-finite-dimension-2102.07211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-designs-of-slope-penalty-sequences-in-finite-dimension-2102.07211"/></url>
<url><loc>https://scifaro.com/en/abs/double-descent-curves-in-neural-networks-a-new-perspective-using-gaussian-processes-2102.07238</loc><lastmod>2023-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/double-descent-curves-in-neural-networks-a-new-perspective-using-gaussian-processes-2102.07238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/double-descent-curves-in-neural-networks-a-new-perspective-using-gaussian-processes-2102.07238"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotically-optimal-strategies-for-combinatorial-semi-bandits-in-polynomial-time-2102.07254</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotically-optimal-strategies-for-combinatorial-semi-bandits-in-polynomial-time-2102.07254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotically-optimal-strategies-for-combinatorial-semi-bandits-in-polynomial-time-2102.07254"/></url>
<url><loc>https://scifaro.com/en/abs/tractable-structured-natural-gradient-descent-using-local-parameterizations-2102.07405</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tractable-structured-natural-gradient-descent-using-local-parameterizations-2102.07405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tractable-structured-natural-gradient-descent-using-local-parameterizations-2102.07405"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-accurate-optimization-on-the-orthogonal-manifold-without-retraction-2102.07432</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-accurate-optimization-on-the-orthogonal-manifold-without-retraction-2102.07432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-accurate-optimization-on-the-orthogonal-manifold-without-retraction-2102.07432"/></url>
<url><loc>https://scifaro.com/en/abs/annealed-flow-transport-monte-carlo-2102.07501</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/annealed-flow-transport-monte-carlo-2102.07501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/annealed-flow-transport-monte-carlo-2102.07501"/></url>
<url><loc>https://scifaro.com/en/abs/certifiably-robust-variational-autoencoders-2102.07559</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certifiably-robust-variational-autoencoders-2102.07559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certifiably-robust-variational-autoencoders-2102.07559"/></url>
<url><loc>https://scifaro.com/en/abs/on-riemannian-stochastic-approximation-schemes-with-fixed-step-size-2102.07586</loc><lastmod>2021-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-riemannian-stochastic-approximation-schemes-with-fixed-step-size-2102.07586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-riemannian-stochastic-approximation-schemes-with-fixed-step-size-2102.07586"/></url>
<url><loc>https://scifaro.com/en/abs/causal-markov-decision-processes-learning-good-interventions-efficiently-2102.07663</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-markov-decision-processes-learning-good-interventions-efficiently-2102.07663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-markov-decision-processes-learning-good-interventions-efficiently-2102.07663"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-nonparametric-bayesian-learning-for-heterogeneous-and-dynamic-velocity-fields-2102.07695</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-nonparametric-bayesian-learning-for-heterogeneous-and-dynamic-velocity-fields-2102.07695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-nonparametric-bayesian-learning-for-heterogeneous-and-dynamic-velocity-fields-2102.07695"/></url>
<url><loc>https://scifaro.com/en/abs/top-k-extreme-contextual-bandits-with-arm-hierarchy-2102.07800</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/top-k-extreme-contextual-bandits-with-arm-hierarchy-2102.07800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/top-k-extreme-contextual-bandits-with-arm-hierarchy-2102.07800"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-particle-filtering-via-entropy-regularized-optimal-transport-2102.07850</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-particle-filtering-via-entropy-regularized-optimal-transport-2102.07850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-particle-filtering-via-entropy-regularized-optimal-transport-2102.07850"/></url>
<url><loc>https://scifaro.com/en/abs/the-elliptical-potential-lemma-for-general-distributions-with-an-application-to-linear-thompson-sampling-2102.07987</loc><lastmod>2022-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-elliptical-potential-lemma-for-general-distributions-with-an-application-to-linear-thompson-sampling-2102.07987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-elliptical-potential-lemma-for-general-distributions-with-an-application-to-linear-thompson-sampling-2102.07987"/></url>
<url><loc>https://scifaro.com/en/abs/making-the-most-of-your-day-online-learning-for-optimal-allocation-of-time-2102.08087</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-the-most-of-your-day-online-learning-for-optimal-allocation-of-time-2102.08087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-the-most-of-your-day-online-learning-for-optimal-allocation-of-time-2102.08087"/></url>
<url><loc>https://scifaro.com/en/abs/a-law-of-robustness-for-weight-bounded-neural-networks-2102.08093</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-law-of-robustness-for-weight-bounded-neural-networks-2102.08093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-law-of-robustness-for-weight-bounded-neural-networks-2102.08093"/></url>
<url><loc>https://scifaro.com/en/abs/learning-curves-of-generic-features-maps-for-realistic-datasets-with-a-teacher-student-model-2102.08127</loc><lastmod>2022-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-curves-of-generic-features-maps-for-realistic-datasets-with-a-teacher-student-model-2102.08127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-curves-of-generic-features-maps-for-realistic-datasets-with-a-teacher-student-model-2102.08127"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-distributional-treatment-effect-with-kernel-conditional-mean-embeddings-and-u-statistic-regression-2102.08208</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-distributional-treatment-effect-with-kernel-conditional-mean-embeddings-and-u-statistic-regression-2102.08208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-distributional-treatment-effect-with-kernel-conditional-mean-embeddings-and-u-statistic-regression-2102.08208"/></url>
<url><loc>https://scifaro.com/en/abs/tighter-bounds-on-the-log-marginal-likelihood-of-gaussian-process-regression-using-conjugate-gradients-2102.08314</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tighter-bounds-on-the-log-marginal-likelihood-of-gaussian-process-regression-using-conjugate-gradients-2102.08314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tighter-bounds-on-the-log-marginal-likelihood-of-gaussian-process-regression-using-conjugate-gradients-2102.08314"/></url>
<url><loc>https://scifaro.com/en/abs/recoverability-landscape-of-tree-structured-markov-random-fields-under-symmetric-noise-2102.08554</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recoverability-landscape-of-tree-structured-markov-random-fields-under-symmetric-noise-2102.08554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recoverability-landscape-of-tree-structured-markov-random-fields-under-symmetric-noise-2102.08554"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-framework-for-the-practical-disintegration-of-pac-bayesian-bounds-2102.08649</loc><lastmod>2023-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-framework-for-the-practical-disintegration-of-pac-bayesian-bounds-2102.08649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-framework-for-the-practical-disintegration-of-pac-bayesian-bounds-2102.08649"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-estimations-based-on-binary-classifiers-a-maximum-likelihood-approach-2102.08659</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-estimations-based-on-binary-classifiers-a-maximum-likelihood-approach-2102.08659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-estimations-based-on-binary-classifiers-a-maximum-likelihood-approach-2102.08659"/></url>
<url><loc>https://scifaro.com/en/abs/muddling-labels-for-regularization-a-novel-approach-to-generalization-2102.08769</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/muddling-labels-for-regularization-a-novel-approach-to-generalization-2102.08769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/muddling-labels-for-regularization-a-novel-approach-to-generalization-2102.08769"/></url>
<url><loc>https://scifaro.com/en/abs/geostatistical-learning-challenges-and-opportunities-2102.08791</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geostatistical-learning-challenges-and-opportunities-2102.08791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geostatistical-learning-challenges-and-opportunities-2102.08791"/></url>
<url><loc>https://scifaro.com/en/abs/chance-constrained-active-inference-2102.08792</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chance-constrained-active-inference-2102.08792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chance-constrained-active-inference-2102.08792"/></url>
<url><loc>https://scifaro.com/en/abs/dissecting-supervised-contrastive-learning-2102.08817</loc><lastmod>2023-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dissecting-supervised-contrastive-learning-2102.08817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dissecting-supervised-contrastive-learning-2102.08817"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-fundamental-limits-of-exact-inference-in-structured-prediction-2102.08895</loc><lastmod>2022-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-fundamental-limits-of-exact-inference-in-structured-prediction-2102.08895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-fundamental-limits-of-exact-inference-in-structured-prediction-2102.08895"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-extremes-with-d-max-decreasing-neural-networks-2102.09042</loc><lastmod>2022-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-extremes-with-d-max-decreasing-neural-networks-2102.09042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-extremes-with-d-max-decreasing-neural-networks-2102.09042"/></url>
<url><loc>https://scifaro.com/en/abs/non-approximate-inference-for-collective-graphical-models-on-path-graphs-via-discrete-difference-of-convex-algorithm-2102.09191</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-approximate-inference-for-collective-graphical-models-on-path-graphs-via-discrete-difference-of-convex-algorithm-2102.09191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-approximate-inference-for-collective-graphical-models-on-path-graphs-via-discrete-difference-of-convex-algorithm-2102.09191"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-mathematical-theory-of-trajectory-inference-2102.09204</loc><lastmod>2023-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-mathematical-theory-of-trajectory-inference-2102.09204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-mathematical-theory-of-trajectory-inference-2102.09204"/></url>
<url><loc>https://scifaro.com/en/abs/convex-regularization-in-statistical-inverse-learning-problems-2102.09526</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-regularization-in-statistical-inverse-learning-problems-2102.09526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-regularization-in-statistical-inverse-learning-problems-2102.09526"/></url>
<url><loc>https://scifaro.com/en/abs/joint-characterization-of-multiscale-information-in-high-dimensional-data-2102.09669</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-characterization-of-multiscale-information-in-high-dimensional-data-2102.09669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-characterization-of-multiscale-information-in-high-dimensional-data-2102.09669"/></url>
<url><loc>https://scifaro.com/en/abs/robust-non-parametric-mortality-and-fertility-modelling-and-forecasting-gaussian-process-regression-approaches-2102.09676</loc><lastmod>2024-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-non-parametric-mortality-and-fertility-modelling-and-forecasting-gaussian-process-regression-approaches-2102.09676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-non-parametric-mortality-and-fertility-modelling-and-forecasting-gaussian-process-regression-approaches-2102.09676"/></url>
<url><loc>https://scifaro.com/en/abs/instrumental-variable-value-iteration-for-causal-offline-reinforcement-learning-2102.09907</loc><lastmod>2024-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instrumental-variable-value-iteration-for-causal-offline-reinforcement-learning-2102.09907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instrumental-variable-value-iteration-for-causal-offline-reinforcement-learning-2102.09907"/></url>
<url><loc>https://scifaro.com/en/abs/affirmative-action-vs-affirmative-information-2102.10019</loc><lastmod>2024-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/affirmative-action-vs-affirmative-information-2102.10019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/affirmative-action-vs-affirmative-information-2102.10019"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-and-learning-with-deep-convolutional-models-a-kernel-perspective-2102.10032</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-and-learning-with-deep-convolutional-models-a-kernel-perspective-2102.10032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-and-learning-with-deep-convolutional-models-a-kernel-perspective-2102.10032"/></url>
<url><loc>https://scifaro.com/en/abs/alma-alternating-minimization-algorithm-for-clustering-mixture-multilayer-network-2102.10226</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alma-alternating-minimization-algorithm-for-clustering-mixture-multilayer-network-2102.10226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alma-alternating-minimization-algorithm-for-clustering-mixture-multilayer-network-2102.10226"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-for-graph-convolutional-neural-networks-via-rademacher-complexity-2102.10234</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-for-graph-convolutional-neural-networks-via-rademacher-complexity-2102.10234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-for-graph-convolutional-neural-networks-via-rademacher-complexity-2102.10234"/></url>
<url><loc>https://scifaro.com/en/abs/inducing-a-hierarchy-for-multi-class-classification-problems-2102.10263</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inducing-a-hierarchy-for-multi-class-classification-problems-2102.10263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inducing-a-hierarchy-for-multi-class-classification-problems-2102.10263"/></url>
<url><loc>https://scifaro.com/en/abs/provably-strict-generalisation-benefit-for-equivariant-models-2102.10333</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-strict-generalisation-benefit-for-equivariant-models-2102.10333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-strict-generalisation-benefit-for-equivariant-models-2102.10333"/></url>
<url><loc>https://scifaro.com/en/abs/deep-relu-networks-preserve-expected-length-2102.10492</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-relu-networks-preserve-expected-length-2102.10492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-relu-networks-preserve-expected-length-2102.10492"/></url>
<url><loc>https://scifaro.com/en/abs/divide-and-conquer-methods-for-big-data-analysis-2102.10771</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/divide-and-conquer-methods-for-big-data-analysis-2102.10771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/divide-and-conquer-methods-for-big-data-analysis-2102.10771"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-multi-view-ica-estimation-of-noise-levels-for-optimal-inference-2102.10964</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-multi-view-ica-estimation-of-noise-levels-for-optimal-inference-2102.10964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-multi-view-ica-estimation-of-noise-levels-for-optimal-inference-2102.10964"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-ridge-riesz-representers-generalization-mis-specification-and-the-counterfactual-effective-dimension-2102.11076</loc><lastmod>2024-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-ridge-riesz-representers-generalization-mis-specification-and-the-counterfactual-effective-dimension-2102.11076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-ridge-riesz-representers-generalization-mis-specification-and-the-counterfactual-effective-dimension-2102.11076"/></url>
<url><loc>https://scifaro.com/en/abs/federated-f-differential-privacy-2102.11158</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-f-differential-privacy-2102.11158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-f-differential-privacy-2102.11158"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-domain-generalization-2102.11436</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-domain-generalization-2102.11436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-domain-generalization-2102.11436"/></url>
<url><loc>https://scifaro.com/en/abs/causal-mediation-analysis-with-hidden-confounders-2102.11724</loc><lastmod>2022-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-mediation-analysis-with-hidden-confounders-2102.11724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-mediation-analysis-with-hidden-confounders-2102.11724"/></url>
<url><loc>https://scifaro.com/en/abs/solving-high-dimensional-parabolic-pdes-using-the-tensor-train-format-2102.11830</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-high-dimensional-parabolic-pdes-using-the-tensor-train-format-2102.11830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-high-dimensional-parabolic-pdes-using-the-tensor-train-format-2102.11830"/></url>
<url><loc>https://scifaro.com/en/abs/learner-private-convex-optimization-2102.11976</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learner-private-convex-optimization-2102.11976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learner-private-convex-optimization-2102.11976"/></url>
<url><loc>https://scifaro.com/en/abs/the-promises-and-pitfalls-of-deep-kernel-learning-2102.12108</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-promises-and-pitfalls-of-deep-kernel-learning-2102.12108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-promises-and-pitfalls-of-deep-kernel-learning-2102.12108"/></url>
<url><loc>https://scifaro.com/en/abs/classification-with-abstention-but-without-disparities-2102.12258</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-with-abstention-but-without-disparities-2102.12258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-with-abstention-but-without-disparities-2102.12258"/></url>
<url><loc>https://scifaro.com/en/abs/set-valued-classification-overview-via-a-unified-framework-2102.12318</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/set-valued-classification-overview-via-a-unified-framework-2102.12318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/set-valued-classification-overview-via-a-unified-framework-2102.12318"/></url>
<url><loc>https://scifaro.com/en/abs/no-regret-algorithms-for-private-gaussian-process-bandit-optimization-2102.12467</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-regret-algorithms-for-private-gaussian-process-bandit-optimization-2102.12467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-regret-algorithms-for-private-gaussian-process-bandit-optimization-2102.12467"/></url>
<url><loc>https://scifaro.com/en/abs/provable-compressed-sensing-with-generative-priors-via-langevin-dynamics-2102.12643</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-compressed-sensing-with-generative-priors-via-langevin-dynamics-2102.12643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-compressed-sensing-with-generative-priors-via-langevin-dynamics-2102.12643"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-aggregation-in-graph-neural-networks-2102.12648</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-aggregation-in-graph-neural-networks-2102.12648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-aggregation-in-graph-neural-networks-2102.12648"/></url>
<url><loc>https://scifaro.com/en/abs/a-local-method-for-identifying-causal-relations-under-markov-equivalence-2102.12685</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-local-method-for-identifying-causal-relations-under-markov-equivalence-2102.12685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-local-method-for-identifying-causal-relations-under-markov-equivalence-2102.12685"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-imputation-with-wasserstein-interpolation-for-optimal-look-ahead-bias-and-variance-tradeoff-2102.12736</loc><lastmod>2023-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-imputation-with-wasserstein-interpolation-for-optimal-look-ahead-bias-and-variance-tradeoff-2102.12736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-imputation-with-wasserstein-interpolation-for-optimal-look-ahead-bias-and-variance-tradeoff-2102.12736"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-variable-bayesian-optimization-with-frequency-modulated-kernels-2102.12792</loc><lastmod>2022-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-variable-bayesian-optimization-with-frequency-modulated-kernels-2102.12792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-variable-bayesian-optimization-with-frequency-modulated-kernels-2102.12792"/></url>
<url><loc>https://scifaro.com/en/abs/stein-variational-gradient-descent-many-particle-and-long-time-asymptotics-2102.12956</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stein-variational-gradient-descent-many-particle-and-long-time-asymptotics-2102.12956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stein-variational-gradient-descent-many-particle-and-long-time-asymptotics-2102.12956"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-ood-detection-with-aleatoric-uncertainty-and-outlier-exposure-2102.12959</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-ood-detection-with-aleatoric-uncertainty-and-outlier-exposure-2102.12959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-ood-detection-with-aleatoric-uncertainty-and-outlier-exposure-2102.12959"/></url>
<url><loc>https://scifaro.com/en/abs/on-regret-bounds-for-continual-single-index-learning-2102.12961</loc><lastmod>2022-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-regret-bounds-for-continual-single-index-learning-2102.12961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-regret-bounds-for-continual-single-index-learning-2102.12961"/></url>
<url><loc>https://scifaro.com/en/abs/quantization-algorithms-for-random-fourier-features-2102.13079</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantization-algorithms-for-random-fourier-features-2102.13079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantization-algorithms-for-random-fourier-features-2102.13079"/></url>
<url><loc>https://scifaro.com/en/abs/mind-inductive-mutual-information-estimation-a-convex-maximum-entropy-copula-approach-2102.13182</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mind-inductive-mutual-information-estimation-a-convex-maximum-entropy-copula-approach-2102.13182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mind-inductive-mutual-information-estimation-a-convex-maximum-entropy-copula-approach-2102.13182"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-invariances-in-random-features-and-kernel-models-2102.13219</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-invariances-in-random-features-and-kernel-models-2102.13219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-invariances-in-random-features-and-kernel-models-2102.13219"/></url>
<url><loc>https://scifaro.com/en/abs/consistent-sparse-deep-learning-theory-and-computation-2102.13229</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-sparse-deep-learning-theory-and-computation-2102.13229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-sparse-deep-learning-theory-and-computation-2102.13229"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-top-down-recovery-of-latent-tree-models-2102.13276</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-top-down-recovery-of-latent-tree-models-2102.13276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-top-down-recovery-of-latent-tree-models-2102.13276"/></url>
<url><loc>https://scifaro.com/en/abs/sjive-supervised-joint-and-individual-variation-explained-2102.13278</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sjive-supervised-joint-and-individual-variation-explained-2102.13278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sjive-supervised-joint-and-individual-variation-explained-2102.13278"/></url>
<url><loc>https://scifaro.com/en/abs/mda-for-random-forests-inconsistency-and-a-practical-solution-via-the-sobol-mda-2102.13347</loc><lastmod>2022-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mda-for-random-forests-inconsistency-and-a-practical-solution-via-the-sobol-mda-2102.13347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mda-for-random-forests-inconsistency-and-a-practical-solution-via-the-sobol-mda-2102.13347"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-notion-of-barycenter-for-probability-distributions-based-on-optimal-weak-mass-transport-2102.13380</loc><lastmod>2023-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-notion-of-barycenter-for-probability-distributions-based-on-optimal-weak-mass-transport-2102.13380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-notion-of-barycenter-for-probability-distributions-based-on-optimal-weak-mass-transport-2102.13380"/></url>
<url><loc>https://scifaro.com/en/abs/batch-bayesian-optimization-on-permutations-using-the-acquisition-weighted-kernel-2102.13382</loc><lastmod>2023-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-bayesian-optimization-on-permutations-using-the-acquisition-weighted-kernel-2102.13382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-bayesian-optimization-on-permutations-using-the-acquisition-weighted-kernel-2102.13382"/></url>
<url><loc>https://scifaro.com/en/abs/zoetrope-genetic-programming-for-regression-2102.13388</loc><lastmod>2021-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zoetrope-genetic-programming-for-regression-2102.13388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zoetrope-genetic-programming-for-regression-2102.13388"/></url>
<url><loc>https://scifaro.com/en/abs/learning-prediction-intervals-for-regression-generalization-and-calibration-2102.13625</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-prediction-intervals-for-regression-generalization-and-calibration-2102.13625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-prediction-intervals-for-regression-generalization-and-calibration-2102.13625"/></url>
<url><loc>https://scifaro.com/en/abs/beware-of-the-simulated-dag-causal-discovery-benchmarks-may-be-easy-to-game-2102.13647</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beware-of-the-simulated-dag-causal-discovery-benchmarks-may-be-easy-to-game-2102.13647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beware-of-the-simulated-dag-causal-discovery-benchmarks-may-be-easy-to-game-2102.13647"/></url>
<url><loc>https://scifaro.com/en/abs/tec-tensor-ensemble-classifier-for-big-data-2103.00025</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tec-tensor-ensemble-classifier-for-big-data-2103.00025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tec-tensor-ensemble-classifier-for-big-data-2103.00025"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-perturbation-stability-lp-recovery-guarantees-for-map-inference-on-noisy-stable-instances-2103.00034</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-perturbation-stability-lp-recovery-guarantees-for-map-inference-on-noisy-stable-instances-2103.00034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-perturbation-stability-lp-recovery-guarantees-for-map-inference-on-noisy-stable-instances-2103.00034"/></url>
<url><loc>https://scifaro.com/en/abs/flexible-model-aggregation-for-quantile-regression-2103.00083</loc><lastmod>2023-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexible-model-aggregation-for-quantile-regression-2103.00083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexible-model-aggregation-for-quantile-regression-2103.00083"/></url>
<url><loc>https://scifaro.com/en/abs/variational-laplace-for-bayesian-neural-networks-2103.00222</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-laplace-for-bayesian-neural-networks-2103.00222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-laplace-for-bayesian-neural-networks-2103.00222"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-byzantine-robust-distributed-learning-with-statistical-guarantee-2103.00373</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-byzantine-robust-distributed-learning-with-statistical-guarantee-2103.00373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-byzantine-robust-distributed-learning-with-statistical-guarantee-2103.00373"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-risk-of-overparameterized-likelihood-models-double-descent-theory-for-deep-neural-networks-2103.00500</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-risk-of-overparameterized-likelihood-models-double-descent-theory-for-deep-neural-networks-2103.00500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-risk-of-overparameterized-likelihood-models-double-descent-theory-for-deep-neural-networks-2103.00500"/></url>
<url><loc>https://scifaro.com/en/abs/feedback-coding-for-active-learning-2103.00654</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feedback-coding-for-active-learning-2103.00654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feedback-coding-for-active-learning-2103.00654"/></url>
<url><loc>https://scifaro.com/en/abs/learning-proposals-for-probabilistic-programs-with-inference-combinators-2103.00668</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-proposals-for-probabilistic-programs-with-inference-combinators-2103.00668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-proposals-for-probabilistic-programs-with-inference-combinators-2103.00668"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-one-class-classifiers-with-eigenvalue-solvers-for-supervised-anomaly-detection-2103.00684</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-one-class-classifiers-with-eigenvalue-solvers-for-supervised-anomaly-detection-2103.00684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-one-class-classifiers-with-eigenvalue-solvers-for-supervised-anomaly-detection-2103.00684"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-representations-for-clustering-with-infinite-gaussian-mixture-models-2103.00694</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-representations-for-clustering-with-infinite-gaussian-mixture-models-2103.00694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-representations-for-clustering-with-infinite-gaussian-mixture-models-2103.00694"/></url>
<url><loc>https://scifaro.com/en/abs/fedpower-privacy-preserving-distributed-eigenspace-estimation-2103.00704</loc><lastmod>2023-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedpower-privacy-preserving-distributed-eigenspace-estimation-2103.00704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedpower-privacy-preserving-distributed-eigenspace-estimation-2103.00704"/></url>
<url><loc>https://scifaro.com/en/abs/panel-semiparametric-quantile-regression-neural-network-for-electricity-consumption-forecasting-2103.00711</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/panel-semiparametric-quantile-regression-neural-network-for-electricity-consumption-forecasting-2103.00711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/panel-semiparametric-quantile-regression-neural-network-for-electricity-consumption-forecasting-2103.00711"/></url>
<url><loc>https://scifaro.com/en/abs/the-mathematics-behind-spectral-clustering-and-the-equivalence-to-pca-2103.00733</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-mathematics-behind-spectral-clustering-and-the-equivalence-to-pca-2103.00733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-mathematics-behind-spectral-clustering-and-the-equivalence-to-pca-2103.00733"/></url>
<url><loc>https://scifaro.com/en/abs/bert-based-patent-novelty-search-by-training-claims-to-their-own-description-2103.01126</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bert-based-patent-novelty-search-by-training-claims-to-their-own-description-2103.01126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bert-based-patent-novelty-search-by-training-claims-to-their-own-description-2103.01126"/></url>
<url><loc>https://scifaro.com/en/abs/ucb-momentum-q-learning-correcting-the-bias-without-forgetting-2103.01312</loc><lastmod>2022-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ucb-momentum-q-learning-correcting-the-bias-without-forgetting-2103.01312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ucb-momentum-q-learning-correcting-the-bias-without-forgetting-2103.01312"/></url>
<url><loc>https://scifaro.com/en/abs/practical-privacy-filters-and-odometers-with-r-enyi-differential-privacy-and-applications-to-differentially-private-deep-learning-2103.01379</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-privacy-filters-and-odometers-with-r-enyi-differential-privacy-and-applications-to-differentially-private-deep-learning-2103.01379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-privacy-filters-and-odometers-with-r-enyi-differential-privacy-and-applications-to-differentially-private-deep-learning-2103.01379"/></url>
<url><loc>https://scifaro.com/en/abs/fast-adaptation-with-linearized-neural-networks-2103.01439</loc><lastmod>2021-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-adaptation-with-linearized-neural-networks-2103.01439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-adaptation-with-linearized-neural-networks-2103.01439"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-interpolation-for-scalable-online-gaussian-processes-2103.01454</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-interpolation-for-scalable-online-gaussian-processes-2103.01454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-interpolation-for-scalable-online-gaussian-processes-2103.01454"/></url>
<url><loc>https://scifaro.com/en/abs/hessian-eigenspectra-of-more-realistic-nonlinear-models-2103.01519</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hessian-eigenspectra-of-more-realistic-nonlinear-models-2103.01519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hessian-eigenspectra-of-more-realistic-nonlinear-models-2103.01519"/></url>
<url><loc>https://scifaro.com/en/abs/solving-inverse-problems-by-joint-posterior-maximization-with-autoencoding-prior-2103.01648</loc><lastmod>2025-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-inverse-problems-by-joint-posterior-maximization-with-autoencoding-prior-2103.01648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-inverse-problems-by-joint-posterior-maximization-with-autoencoding-prior-2103.01648"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-inference-for-structural-health-monitoring-new-modes-of-learning-from-data-2103.01676</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-inference-for-structural-health-monitoring-new-modes-of-learning-from-data-2103.01676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-inference-for-structural-health-monitoring-new-modes-of-learning-from-data-2103.01676"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-gans-work-because-they-fail-to-approximate-the-wasserstein-distance-2103.01678</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-gans-work-because-they-fail-to-approximate-the-wasserstein-distance-2103.01678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-gans-work-because-they-fail-to-approximate-the-wasserstein-distance-2103.01678"/></url>
<url><loc>https://scifaro.com/en/abs/oil-and-gas-reservoirs-parameters-analysis-using-mixed-learning-of-bayesian-networks-2103.01804</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/oil-and-gas-reservoirs-parameters-analysis-using-mixed-learning-of-bayesian-networks-2103.01804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/oil-and-gas-reservoirs-parameters-analysis-using-mixed-learning-of-bayesian-networks-2103.01804"/></url>
<url><loc>https://scifaro.com/en/abs/self-regularity-of-non-negative-output-weights-for-overparameterized-two-layer-neural-networks-2103.01887</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-regularity-of-non-negative-output-weights-for-overparameterized-two-layer-neural-networks-2103.01887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-regularity-of-non-negative-output-weights-for-overparameterized-two-layer-neural-networks-2103.01887"/></url>
<url><loc>https://scifaro.com/en/abs/have-we-learned-to-explain-how-interpretability-methods-can-learn-to-encode-predictions-in-their-interpretations-2103.01890</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/have-we-learned-to-explain-how-interpretability-methods-can-learn-to-encode-predictions-in-their-interpretations-2103.01890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/have-we-learned-to-explain-how-interpretability-methods-can-learn-to-encode-predictions-in-their-interpretations-2103.01890"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-estimation-for-personalized-federated-learning-an-alternative-between-fedavg-and-local-training-2103.01901</loc><lastmod>2025-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-estimation-for-personalized-federated-learning-an-alternative-between-fedavg-and-local-training-2103.01901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-estimation-for-personalized-federated-learning-an-alternative-between-fedavg-and-local-training-2103.01901"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-in-credit-scoring-assessment-implementation-and-profit-implications-2103.01907</loc><lastmod>2022-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-in-credit-scoring-assessment-implementation-and-profit-implications-2103.01907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-in-credit-scoring-assessment-implementation-and-profit-implications-2103.01907"/></url>
<url><loc>https://scifaro.com/en/abs/slow-growing-trees-2103.01926</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/slow-growing-trees-2103.01926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/slow-growing-trees-2103.01926"/></url>
<url><loc>https://scifaro.com/en/abs/parsimonious-inference-2103.02165</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parsimonious-inference-2103.02165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parsimonious-inference-2103.02165"/></url>
<url><loc>https://scifaro.com/en/abs/deep-adaptive-design-amortizing-sequential-bayesian-experimental-design-2103.02438</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-adaptive-design-amortizing-sequential-bayesian-experimental-design-2103.02438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-adaptive-design-amortizing-sequential-bayesian-experimental-design-2103.02438"/></url>
<url><loc>https://scifaro.com/en/abs/out-of-distribution-generalization-in-machine-learning-2103.02667</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/out-of-distribution-generalization-in-machine-learning-2103.02667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/out-of-distribution-generalization-in-machine-learning-2103.02667"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-learning-of-strong-mixing-continuous-time-stochastic-processes-2103.02740</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-learning-of-strong-mixing-continuous-time-stochastic-processes-2103.02740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-learning-of-strong-mixing-continuous-time-stochastic-processes-2103.02740"/></url>
<url><loc>https://scifaro.com/en/abs/variance-reduced-median-of-means-estimator-for-byzantine-robust-distributed-inference-2103.02860</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-reduced-median-of-means-estimator-for-byzantine-robust-distributed-inference-2103.02860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-reduced-median-of-means-estimator-for-byzantine-robust-distributed-inference-2103.02860"/></url>
<url><loc>https://scifaro.com/en/abs/lower-bounded-proper-losses-for-weakly-supervised-classification-2103.02893</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lower-bounded-proper-losses-for-weakly-supervised-classification-2103.02893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lower-bounded-proper-losses-for-weakly-supervised-classification-2103.02893"/></url>
<url><loc>https://scifaro.com/en/abs/fast-tucker-rank-reduction-for-non-negative-tensors-using-mean-field-approximation-2103.02898</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-tucker-rank-reduction-for-non-negative-tensors-using-mean-field-approximation-2103.02898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-tucker-rank-reduction-for-non-negative-tensors-using-mean-field-approximation-2103.02898"/></url>
<url><loc>https://scifaro.com/en/abs/calibrated-simplex-mapping-classification-2103.02926</loc><lastmod>2023-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrated-simplex-mapping-classification-2103.02926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrated-simplex-mapping-classification-2103.02926"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-for-sparse-random-feature-expansions-2103.03191</loc><lastmod>2026-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-for-sparse-random-feature-expansions-2103.03191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-for-sparse-random-feature-expansions-2103.03191"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-multilayer-graphs-with-missing-nodes-2103.03235</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-multilayer-graphs-with-missing-nodes-2103.03235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-multilayer-graphs-with-missing-nodes-2103.03235"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-free-uncertainty-quantification-for-classification-under-label-shift-2103.03323</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-free-uncertainty-quantification-for-classification-under-label-shift-2103.03323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-free-uncertainty-quantification-for-classification-under-label-shift-2103.03323"/></url>
<url><loc>https://scifaro.com/en/abs/gemini-dynamic-bias-correction-for-autonomous-experimentation-and-molecular-simulation-2103.03391</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gemini-dynamic-bias-correction-for-autonomous-experimentation-and-molecular-simulation-2103.03391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gemini-dynamic-bias-correction-for-autonomous-experimentation-and-molecular-simulation-2103.03391"/></url>
<url><loc>https://scifaro.com/en/abs/feddr-randomized-douglas-rachford-splitting-algorithms-for-nonconvex-federated-composite-optimization-2103.03452</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feddr-randomized-douglas-rachford-splitting-algorithms-for-nonconvex-federated-composite-optimization-2103.03452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feddr-randomized-douglas-rachford-splitting-algorithms-for-nonconvex-federated-composite-optimization-2103.03452"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generative-pattern-set-mixture-models-for-nonignorable-missingness-2103.03532</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generative-pattern-set-mixture-models-for-nonignorable-missingness-2103.03532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generative-pattern-set-mixture-models-for-nonignorable-missingness-2103.03532"/></url>
<url><loc>https://scifaro.com/en/abs/nishimori-meets-bethe-a-spectral-method-for-node-classification-in-sparse-weighted-graphs-2103.03561</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nishimori-meets-bethe-a-spectral-method-for-node-classification-in-sparse-weighted-graphs-2103.03561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nishimori-meets-bethe-a-spectral-method-for-node-classification-in-sparse-weighted-graphs-2103.03561"/></url>
<url><loc>https://scifaro.com/en/abs/autocalibration-and-tweedie-dominance-for-insurance-pricing-with-machine-learning-2103.03635</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autocalibration-and-tweedie-dominance-for-insurance-pricing-with-machine-learning-2103.03635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autocalibration-and-tweedie-dominance-for-insurance-pricing-with-machine-learning-2103.03635"/></url>
<url><loc>https://scifaro.com/en/abs/foundations-of-population-based-shm-part-iv-the-geometry-of-spaces-of-structures-and-their-feature-spaces-2103.03655</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/foundations-of-population-based-shm-part-iv-the-geometry-of-spaces-of-structures-and-their-feature-spaces-2103.03655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/foundations-of-population-based-shm-part-iv-the-geometry-of-spaces-of-structures-and-their-feature-spaces-2103.03655"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-theory-for-iv-based-reinforcement-learning-with-potential-endogeneity-2103.04021</loc><lastmod>2024-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-theory-for-iv-based-reinforcement-learning-with-potential-endogeneity-2103.04021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-theory-for-iv-based-reinforcement-learning-with-potential-endogeneity-2103.04021"/></url>
<url><loc>https://scifaro.com/en/abs/accumulation-of-sub-sampling-matrices-with-applications-to-statistical-computation-2103.04031</loc><lastmod>2026-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accumulation-of-sub-sampling-matrices-with-applications-to-statistical-computation-2103.04031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accumulation-of-sub-sampling-matrices-with-applications-to-statistical-computation-2103.04031"/></url>
<url><loc>https://scifaro.com/en/abs/signal-processing-on-the-permutahedron-tight-spectral-frames-for-ranked-data-analysis-2103.04150</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/signal-processing-on-the-permutahedron-tight-spectral-frames-for-ranked-data-analysis-2103.04150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/signal-processing-on-the-permutahedron-tight-spectral-frames-for-ranked-data-analysis-2103.04150"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-causal-bandit-2103.04215</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-causal-bandit-2103.04215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-causal-bandit-2103.04215"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotics-of-ridge-regression-in-convolutional-models-2103.04557</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotics-of-ridge-regression-in-convolutional-models-2103.04557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotics-of-ridge-regression-in-convolutional-models-2103.04557"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-sinkhorn-factorization-2103.04737</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-sinkhorn-factorization-2103.04737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-sinkhorn-factorization-2103.04737"/></url>
<url><loc>https://scifaro.com/en/abs/combining-interventional-and-observational-data-using-causal-reductions-2103.04786</loc><lastmod>2023-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-interventional-and-observational-data-using-causal-reductions-2103.04786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-interventional-and-observational-data-using-causal-reductions-2103.04786"/></url>
<url><loc>https://scifaro.com/en/abs/significance-tests-of-feature-relevance-for-a-black-box-learner-2103.04985</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/significance-tests-of-feature-relevance-for-a-black-box-learner-2103.04985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/significance-tests-of-feature-relevance-for-a-black-box-learner-2103.04985"/></url>
<url><loc>https://scifaro.com/en/abs/nearest-neighbor-search-under-uncertainty-2103.05057</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearest-neighbor-search-under-uncertainty-2103.05057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearest-neighbor-search-under-uncertainty-2103.05057"/></url>
<url><loc>https://scifaro.com/en/abs/forest-guided-smoothing-2103.05092</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forest-guided-smoothing-2103.05092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forest-guided-smoothing-2103.05092"/></url>
<url><loc>https://scifaro.com/en/abs/exact-distribution-free-hypothesis-tests-for-the-regression-function-of-binary-classification-via-conditional-kernel-mean-embeddings-2103.05126</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-distribution-free-hypothesis-tests-for-the-regression-function-of-binary-classification-via-conditional-kernel-mean-embeddings-2103.05126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-distribution-free-hypothesis-tests-for-the-regression-function-of-binary-classification-via-conditional-kernel-mean-embeddings-2103.05126"/></url>
<url><loc>https://scifaro.com/en/abs/fast-statistical-leverage-score-approximation-in-kernel-ridge-regression-2103.05238</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-statistical-leverage-score-approximation-in-kernel-ridge-regression-2103.05238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-statistical-leverage-score-approximation-in-kernel-ridge-regression-2103.05238"/></url>
<url><loc>https://scifaro.com/en/abs/continual-density-ratio-estimation-in-an-online-setting-2103.05276</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-density-ratio-estimation-in-an-online-setting-2103.05276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-density-ratio-estimation-in-an-online-setting-2103.05276"/></url>
<url><loc>https://scifaro.com/en/abs/a-prior-based-approximate-latent-riemannian-metric-2103.05290</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-prior-based-approximate-latent-riemannian-metric-2103.05290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-prior-based-approximate-latent-riemannian-metric-2103.05290"/></url>
<url><loc>https://scifaro.com/en/abs/active-testing-sample-efficient-model-evaluation-2103.05331</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-testing-sample-efficient-model-evaluation-2103.05331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-testing-sample-efficient-model-evaluation-2103.05331"/></url>
<url><loc>https://scifaro.com/en/abs/a-sampling-criterion-for-constrained-bayesian-optimization-with-uncertainties-2103.05706</loc><lastmod>2023-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sampling-criterion-for-constrained-bayesian-optimization-with-uncertainties-2103.05706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sampling-criterion-for-constrained-bayesian-optimization-with-uncertainties-2103.05706"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-machines-constructing-valid-prediction-intervals-with-random-forests-2103.05766</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-machines-constructing-valid-prediction-intervals-with-random-forests-2103.05766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-machines-constructing-valid-prediction-intervals-with-random-forests-2103.05766"/></url>
<url><loc>https://scifaro.com/en/abs/multi-class-multiple-instance-learning-for-predicting-precursors-to-aviation-safety-events-2103.06244</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-class-multiple-instance-learning-for-predicting-precursors-to-aviation-safety-events-2103.06244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-class-multiple-instance-learning-for-predicting-precursors-to-aviation-safety-events-2103.06244"/></url>
<url><loc>https://scifaro.com/en/abs/a-tree-based-model-averaging-approach-for-personalized-treatment-effect-estimation-from-heterogeneous-data-sources-2103.06261</loc><lastmod>2022-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tree-based-model-averaging-approach-for-personalized-treatment-effect-estimation-from-heterogeneous-data-sources-2103.06261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tree-based-model-averaging-approach-for-personalized-treatment-effect-estimation-from-heterogeneous-data-sources-2103.06261"/></url>
<url><loc>https://scifaro.com/en/abs/covariate-assisted-sparse-tensor-completion-2103.06428</loc><lastmod>2022-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covariate-assisted-sparse-tensor-completion-2103.06428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covariate-assisted-sparse-tensor-completion-2103.06428"/></url>
<url><loc>https://scifaro.com/en/abs/sample-complexity-of-offline-reinforcement-learning-with-deep-relu-networks-2103.06671</loc><lastmod>2022-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-complexity-of-offline-reinforcement-learning-with-deep-relu-networks-2103.06671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-complexity-of-offline-reinforcement-learning-with-deep-relu-networks-2103.06671"/></url>
<url><loc>https://scifaro.com/en/abs/a-hierarchical-bayesian-model-to-find-brain-behaviour-associations-in-incomplete-data-sets-2103.06845</loc><lastmod>2021-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hierarchical-bayesian-model-to-find-brain-behaviour-associations-in-incomplete-data-sets-2103.06845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hierarchical-bayesian-model-to-find-brain-behaviour-associations-in-incomplete-data-sets-2103.06845"/></url>
<url><loc>https://scifaro.com/en/abs/the-minecraft-kernel-modelling-correlated-gaussian-processes-in-the-fourier-domain-2103.06950</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-minecraft-kernel-modelling-correlated-gaussian-processes-in-the-fourier-domain-2103.06950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-minecraft-kernel-modelling-correlated-gaussian-processes-in-the-fourier-domain-2103.06950"/></url>
<url><loc>https://scifaro.com/en/abs/max-linear-regression-by-convex-programming-2103.07020</loc><lastmod>2024-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/max-linear-regression-by-convex-programming-2103.07020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/max-linear-regression-by-convex-programming-2103.07020"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-diverse-solutions-in-deep-reinforcement-learning-by-maximizing-state-action-based-mutual-information-2103.07084</loc><lastmod>2022-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-diverse-solutions-in-deep-reinforcement-learning-by-maximizing-state-action-based-mutual-information-2103.07084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-diverse-solutions-in-deep-reinforcement-learning-by-maximizing-state-action-based-mutual-information-2103.07084"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-ai-by-bapc-before-and-after-correction-parameter-comparison-2103.07155</loc><lastmod>2023-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-ai-by-bapc-before-and-after-correction-parameter-comparison-2103.07155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-ai-by-bapc-before-and-after-correction-parameter-comparison-2103.07155"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-mode-modeling-a-data-driven-approach-to-recover-and-forecast-nonlinear-dynamics-from-noisy-data-2103.07281</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-mode-modeling-a-data-driven-approach-to-recover-and-forecast-nonlinear-dynamics-from-noisy-data-2103.07281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-mode-modeling-a-data-driven-approach-to-recover-and-forecast-nonlinear-dynamics-from-noisy-data-2103.07281"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-sequential-decision-making-with-probabilistic-digital-twins-2103.07405</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-sequential-decision-making-with-probabilistic-digital-twins-2103.07405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-sequential-decision-making-with-probabilistic-digital-twins-2103.07405"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-assisted-orthonormal-basis-selection-for-functional-data-analysis-2103.07453</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-assisted-orthonormal-basis-selection-for-functional-data-analysis-2103.07453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-assisted-orthonormal-basis-selection-for-functional-data-analysis-2103.07453"/></url>
<url><loc>https://scifaro.com/en/abs/causal-markov-boundaries-2103.07560</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-markov-boundaries-2103.07560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-markov-boundaries-2103.07560"/></url>
<url><loc>https://scifaro.com/en/abs/helmholtzian-eigenmap-topological-feature-discovery-edge-flow-learning-from-point-cloud-data-2103.07626</loc><lastmod>2023-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/helmholtzian-eigenmap-topological-feature-discovery-edge-flow-learning-from-point-cloud-data-2103.07626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/helmholtzian-eigenmap-topological-feature-discovery-edge-flow-learning-from-point-cloud-data-2103.07626"/></url>
<url><loc>https://scifaro.com/en/abs/von-mises-fisher-elliptical-distribution-2103.07948</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/von-mises-fisher-elliptical-distribution-2103.07948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/von-mises-fisher-elliptical-distribution-2103.07948"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-forecasting-with-a-top-down-alignment-of-independent-level-forecasts-2103.08250</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-forecasting-with-a-top-down-alignment-of-independent-level-forecasts-2103.08250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-forecasting-with-a-top-down-alignment-of-independent-level-forecasts-2103.08250"/></url>
<url><loc>https://scifaro.com/en/abs/representation-theorem-for-matrix-product-states-2103.08277</loc><lastmod>2025-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-theorem-for-matrix-product-states-2103.08277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-theorem-for-matrix-product-states-2103.08277"/></url>
<url><loc>https://scifaro.com/en/abs/function-approximation-by-deep-neural-networks-with-parameters-0-pm-frac-1-2-pm-1-2-2103.08659</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/function-approximation-by-deep-neural-networks-with-parameters-0-pm-frac-1-2-pm-1-2-2103.08659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/function-approximation-by-deep-neural-networks-with-parameters-0-pm-frac-1-2-pm-1-2-2103.08659"/></url>
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<url><loc>https://scifaro.com/en/abs/soft-and-subspace-robust-multivariate-rank-tests-based-on-entropy-regularized-optimal-transport-2103.08811</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-and-subspace-robust-multivariate-rank-tests-based-on-entropy-regularized-optimal-transport-2103.08811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-and-subspace-robust-multivariate-rank-tests-based-on-entropy-regularized-optimal-transport-2103.08811"/></url>
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<url><loc>https://scifaro.com/en/abs/differentiable-learning-under-triage-2103.08902</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-learning-under-triage-2103.08902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-learning-under-triage-2103.08902"/></url>
<url><loc>https://scifaro.com/en/abs/a-classical-search-game-in-discrete-locations-2103.09310</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-classical-search-game-in-discrete-locations-2103.09310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-classical-search-game-in-discrete-locations-2103.09310"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-normalizing-flows-2103.09527</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-normalizing-flows-2103.09527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-normalizing-flows-2103.09527"/></url>
<url><loc>https://scifaro.com/en/abs/doubleml-an-object-oriented-implementation-of-double-machine-learning-in-r-2103.09603</loc><lastmod>2024-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubleml-an-object-oriented-implementation-of-double-machine-learning-in-r-2103.09603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubleml-an-object-oriented-implementation-of-double-machine-learning-in-r-2103.09603"/></url>
<url><loc>https://scifaro.com/en/abs/linear-iterative-feature-embedding-an-ensemble-framework-for-interpretable-model-2103.09983</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-iterative-feature-embedding-an-ensemble-framework-for-interpretable-model-2103.09983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-iterative-feature-embedding-an-ensemble-framework-for-interpretable-model-2103.09983"/></url>
<url><loc>https://scifaro.com/en/abs/a-probabilistic-state-space-model-for-joint-inference-from-differential-equations-and-data-2103.10153</loc><lastmod>2022-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probabilistic-state-space-model-for-joint-inference-from-differential-equations-and-data-2103.10153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probabilistic-state-space-model-for-joint-inference-from-differential-equations-and-data-2103.10153"/></url>
<url><loc>https://scifaro.com/en/abs/inductive-inference-in-supervised-classification-2103.10549</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inductive-inference-in-supervised-classification-2103.10549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inductive-inference-in-supervised-classification-2103.10549"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-algorithms-for-markovian-gaussian-processes-2103.10710</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-algorithms-for-markovian-gaussian-processes-2103.10710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-algorithms-for-markovian-gaussian-processes-2103.10710"/></url>
<url><loc>https://scifaro.com/en/abs/individually-fair-ranking-2103.11023</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/individually-fair-ranking-2103.11023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/individually-fair-ranking-2103.11023"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-deep-density-approximation-for-fokker-planck-equations-2103.11181</loc><lastmod>2022-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-deep-density-approximation-for-fokker-planck-equations-2103.11181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-deep-density-approximation-for-fokker-planck-equations-2103.11181"/></url>
<url><loc>https://scifaro.com/en/abs/markov-modeling-of-time-series-data-using-symbolic-analysis-2103.11238</loc><lastmod>2021-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-modeling-of-time-series-data-using-symbolic-analysis-2103.11238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-modeling-of-time-series-data-using-symbolic-analysis-2103.11238"/></url>
<url><loc>https://scifaro.com/en/abs/comments-on-leo-breiman-s-paper-statistical-modeling-the-two-cultures-statistical-science-2001-16-3-199-231-2103.11327</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comments-on-leo-breiman-s-paper-statistical-modeling-the-two-cultures-statistical-science-2001-16-3-199-231-2103.11327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comments-on-leo-breiman-s-paper-statistical-modeling-the-two-cultures-statistical-science-2001-16-3-199-231-2103.11327"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-degradation-process-with-deep-learning-driven-trajectory-2103.11598</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-degradation-process-with-deep-learning-driven-trajectory-2103.11598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-degradation-process-with-deep-learning-driven-trajectory-2103.11598"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-for-imbalanced-data-with-deep-sparse-autoencoders-ensemble-2103.11678</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-for-imbalanced-data-with-deep-sparse-autoencoders-ensemble-2103.11678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-for-imbalanced-data-with-deep-sparse-autoencoders-ensemble-2103.11678"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-deep-learning-models-with-marginal-attribution-by-conditioning-on-quantiles-2103.11706</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-deep-learning-models-with-marginal-attribution-by-conditioning-on-quantiles-2103.11706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-deep-learning-models-with-marginal-attribution-by-conditioning-on-quantiles-2103.11706"/></url>
<url><loc>https://scifaro.com/en/abs/simulation-comparisons-between-bayesian-and-de-biased-estimators-in-low-rank-matrix-completion-2103.11749</loc><lastmod>2023-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulation-comparisons-between-bayesian-and-de-biased-estimators-in-low-rank-matrix-completion-2103.11749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulation-comparisons-between-bayesian-and-de-biased-estimators-in-low-rank-matrix-completion-2103.11749"/></url>
<url><loc>https://scifaro.com/en/abs/robust-orthogonal-machine-learning-of-treatment-effects-2103.11869</loc><lastmod>2022-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-orthogonal-machine-learning-of-treatment-effects-2103.11869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-orthogonal-machine-learning-of-treatment-effects-2103.11869"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-optimal-transport-for-dynamic-semi-supervised-learning-2103.11937</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-optimal-transport-for-dynamic-semi-supervised-learning-2103.11937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-optimal-transport-for-dynamic-semi-supervised-learning-2103.11937"/></url>
<url><loc>https://scifaro.com/en/abs/statistically-robust-clustering-techniques-for-mapping-spatial-hotspots-a-survey-2103.12019</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistically-robust-clustering-techniques-for-mapping-spatial-hotspots-a-survey-2103.12019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistically-robust-clustering-techniques-for-mapping-spatial-hotspots-a-survey-2103.12019"/></url>
<url><loc>https://scifaro.com/en/abs/partitioned-hybrid-learning-of-bayesian-network-structures-2103.12188</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partitioned-hybrid-learning-of-bayesian-network-structures-2103.12188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partitioned-hybrid-learning-of-bayesian-network-structures-2103.12188"/></url>
<url><loc>https://scifaro.com/en/abs/the-success-of-adaboost-and-its-application-in-portfolio-management-2103.12345</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-success-of-adaboost-and-its-application-in-portfolio-management-2103.12345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-success-of-adaboost-and-its-application-in-portfolio-management-2103.12345"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-approach-to-text-rating-classification-using-sentiment-analysis-2103.12368</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-approach-to-text-rating-classification-using-sentiment-analysis-2103.12368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-approach-to-text-rating-classification-using-sentiment-analysis-2103.12368"/></url>
<url><loc>https://scifaro.com/en/abs/a-pseudo-metric-between-probability-distributions-based-on-depth-trimmed-regions-2103.12711</loc><lastmod>2022-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-pseudo-metric-between-probability-distributions-based-on-depth-trimmed-regions-2103.12711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-pseudo-metric-between-probability-distributions-based-on-depth-trimmed-regions-2103.12711"/></url>
<url><loc>https://scifaro.com/en/abs/sloe-a-faster-method-for-statistical-inference-in-high-dimensional-logistic-regression-2103.12725</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sloe-a-faster-method-for-statistical-inference-in-high-dimensional-logistic-regression-2103.12725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sloe-a-faster-method-for-statistical-inference-in-high-dimensional-logistic-regression-2103.12725"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayesian-theory-for-stochastic-lti-systems-2103.12866</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayesian-theory-for-stochastic-lti-systems-2103.12866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayesian-theory-for-stochastic-lti-systems-2103.12866"/></url>
<url><loc>https://scifaro.com/en/abs/towards-optimal-algorithms-for-multi-player-bandits-without-collision-sensing-information-2103.13059</loc><lastmod>2022-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-optimal-algorithms-for-multi-player-bandits-without-collision-sensing-information-2103.13059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-optimal-algorithms-for-multi-player-bandits-without-collision-sensing-information-2103.13059"/></url>
<url><loc>https://scifaro.com/en/abs/the-shapley-value-of-coalition-of-variables-provides-better-explanations-2103.13342</loc><lastmod>2022-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-shapley-value-of-coalition-of-variables-provides-better-explanations-2103.13342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-shapley-value-of-coalition-of-variables-provides-better-explanations-2103.13342"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-freeness-of-layerwise-jacobians-caused-by-invariance-of-multilayer-perceptron-the-haar-orthogonal-case-2103.13466</loc><lastmod>2023-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-freeness-of-layerwise-jacobians-caused-by-invariance-of-multilayer-perceptron-the-haar-orthogonal-case-2103.13466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-freeness-of-layerwise-jacobians-caused-by-invariance-of-multilayer-perceptron-the-haar-orthogonal-case-2103.13466"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-in-the-presence-of-response-dependent-missing-labels-2103.13555</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-in-the-presence-of-response-dependent-missing-labels-2103.13555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-in-the-presence-of-response-dependent-missing-labels-2103.13555"/></url>
<url><loc>https://scifaro.com/en/abs/data-augmentation-with-variational-autoencoders-and-manifold-sampling-2103.13751</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-augmentation-with-variational-autoencoders-and-manifold-sampling-2103.13751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-augmentation-with-variational-autoencoders-and-manifold-sampling-2103.13751"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-approximation-of-high-dimensional-data-2103.13787</loc><lastmod>2022-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-approximation-of-high-dimensional-data-2103.13787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-approximation-of-high-dimensional-data-2103.13787"/></url>
<url><loc>https://scifaro.com/en/abs/multinomial-logit-contextual-bandits-provable-optimality-and-practicality-2103.13929</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multinomial-logit-contextual-bandits-provable-optimality-and-practicality-2103.13929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multinomial-logit-contextual-bandits-provable-optimality-and-practicality-2103.13929"/></url>
<url><loc>https://scifaro.com/en/abs/causal-inference-under-unmeasured-confounding-with-negative-controls-a-minimax-learning-approach-2103.14029</loc><lastmod>2022-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-inference-under-unmeasured-confounding-with-negative-controls-a-minimax-learning-approach-2103.14029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-inference-under-unmeasured-confounding-with-negative-controls-a-minimax-learning-approach-2103.14029"/></url>
<url><loc>https://scifaro.com/en/abs/learning-landmark-geodesics-using-kalman-ensembles-2103.14076</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-landmark-geodesics-using-kalman-ensembles-2103.14076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-landmark-geodesics-using-kalman-ensembles-2103.14076"/></url>
<url><loc>https://scifaro.com/en/abs/nearly-horizon-free-offline-reinforcement-learning-2103.14077</loc><lastmod>2022-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearly-horizon-free-offline-reinforcement-learning-2103.14077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearly-horizon-free-offline-reinforcement-learning-2103.14077"/></url>
<url><loc>https://scifaro.com/en/abs/the-geometry-of-over-parameterized-regression-and-adversarial-perturbations-2103.14108</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-geometry-of-over-parameterized-regression-and-adversarial-perturbations-2103.14108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-geometry-of-over-parameterized-regression-and-adversarial-perturbations-2103.14108"/></url>
<url><loc>https://scifaro.com/en/abs/deep-two-way-matrix-reordering-for-relational-data-analysis-2103.14203</loc><lastmod>2026-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-two-way-matrix-reordering-for-relational-data-analysis-2103.14203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-two-way-matrix-reordering-for-relational-data-analysis-2103.14203"/></url>
<url><loc>https://scifaro.com/en/abs/active-multi-fidelity-bayesian-online-changepoint-detection-2103.14224</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-multi-fidelity-bayesian-online-changepoint-detection-2103.14224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-multi-fidelity-bayesian-online-changepoint-detection-2103.14224"/></url>
<url><loc>https://scifaro.com/en/abs/the-convergence-of-the-stochastic-gradient-descent-sgd-a-self-contained-proof-2103.14350</loc><lastmod>2023-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-convergence-of-the-stochastic-gradient-descent-sgd-a-self-contained-proof-2103.14350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-convergence-of-the-stochastic-gradient-descent-sgd-a-self-contained-proof-2103.14350"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-exponential-weights-in-metric-spaces-2103.14389</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-exponential-weights-in-metric-spaces-2103.14389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-exponential-weights-in-metric-spaces-2103.14389"/></url>
<url><loc>https://scifaro.com/en/abs/combining-distribution-based-neural-networks-to-predict-weather-forecast-probabilities-2103.14430</loc><lastmod>2022-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-distribution-based-neural-networks-to-predict-weather-forecast-probabilities-2103.14430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-distribution-based-neural-networks-to-predict-weather-forecast-probabilities-2103.14430"/></url>
<url><loc>https://scifaro.com/en/abs/lower-bounds-on-the-generalization-error-of-nonlinear-learning-models-2103.14723</loc><lastmod>2022-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lower-bounds-on-the-generalization-error-of-nonlinear-learning-models-2103.14723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lower-bounds-on-the-generalization-error-of-nonlinear-learning-models-2103.14723"/></url>
<url><loc>https://scifaro.com/en/abs/pervasive-label-errors-in-test-sets-destabilize-machine-learning-benchmarks-2103.14749</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pervasive-label-errors-in-test-sets-destabilize-machine-learning-benchmarks-2103.14749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pervasive-label-errors-in-test-sets-destabilize-machine-learning-benchmarks-2103.14749"/></url>
<url><loc>https://scifaro.com/en/abs/survival-regression-with-proper-scoring-rules-and-monotonic-neural-networks-2103.14755</loc><lastmod>2022-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survival-regression-with-proper-scoring-rules-and-monotonic-neural-networks-2103.14755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survival-regression-with-proper-scoring-rules-and-monotonic-neural-networks-2103.14755"/></url>
<url><loc>https://scifaro.com/en/abs/particle-filter-bridge-interpolation-2103.14963</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-filter-bridge-interpolation-2103.14963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-filter-bridge-interpolation-2103.14963"/></url>
<url><loc>https://scifaro.com/en/abs/community-detection-in-general-hypergraph-via-graph-embedding-2103.15035</loc><lastmod>2021-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/community-detection-in-general-hypergraph-via-graph-embedding-2103.15035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/community-detection-in-general-hypergraph-via-graph-embedding-2103.15035"/></url>
<url><loc>https://scifaro.com/en/abs/deconfounded-score-method-scoring-dags-with-dense-unobserved-confounding-2103.15106</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deconfounded-score-method-scoring-dags-with-dense-unobserved-confounding-2103.15106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deconfounded-score-method-scoring-dags-with-dense-unobserved-confounding-2103.15106"/></url>
<url><loc>https://scifaro.com/en/abs/entropy-methods-for-the-confidence-assessment-of-probabilistic-classification-models-2103.15157</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropy-methods-for-the-confidence-assessment-of-probabilistic-classification-models-2103.15157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropy-methods-for-the-confidence-assessment-of-probabilistic-classification-models-2103.15157"/></url>
<url><loc>https://scifaro.com/en/abs/learning-on-heterogeneous-graphs-using-high-order-relations-2103.15532</loc><lastmod>2023-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-on-heterogeneous-graphs-using-high-order-relations-2103.15532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-on-heterogeneous-graphs-using-high-order-relations-2103.15532"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-based-digital-twin-for-stochastic-nonlinear-multi-degree-of-freedom-dynamical-system-2103.15636</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-based-digital-twin-for-stochastic-nonlinear-multi-degree-of-freedom-dynamical-system-2103.15636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-based-digital-twin-for-stochastic-nonlinear-multi-degree-of-freedom-dynamical-system-2103.15636"/></url>
<url><loc>https://scifaro.com/en/abs/compositional-abstraction-error-and-a-category-of-causal-models-2103.15758</loc><lastmod>2021-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compositional-abstraction-error-and-a-category-of-causal-models-2103.15758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compositional-abstraction-error-and-a-category-of-causal-models-2103.15758"/></url>
<url><loc>https://scifaro.com/en/abs/restricted-boltzmann-machines-as-models-of-interacting-variables-2103.15917</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/restricted-boltzmann-machines-as-models-of-interacting-variables-2103.15917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/restricted-boltzmann-machines-as-models-of-interacting-variables-2103.15917"/></url>
<url><loc>https://scifaro.com/en/abs/structured-inverted-file-k-means-clustering-for-high-dimensional-sparse-data-2103.16141</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-inverted-file-k-means-clustering-for-high-dimensional-sparse-data-2103.16141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-inverted-file-k-means-clustering-for-high-dimensional-sparse-data-2103.16141"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-in-current-neuroimaging-a-multivariate-approach-with-power-and-type-i-error-control-but-arguable-generalization-ability-2103.16685</loc><lastmod>2025-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-in-current-neuroimaging-a-multivariate-approach-with-power-and-type-i-error-control-but-arguable-generalization-ability-2103.16685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-in-current-neuroimaging-a-multivariate-approach-with-power-and-type-i-error-control-but-arguable-generalization-ability-2103.16685"/></url>
<url><loc>https://scifaro.com/en/abs/trees-forests-chickens-and-eggs-when-and-why-to-prune-trees-in-a-random-forest-2103.16700</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trees-forests-chickens-and-eggs-when-and-why-to-prune-trees-in-a-random-forest-2103.16700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trees-forests-chickens-and-eggs-when-and-why-to-prune-trees-in-a-random-forest-2103.16700"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-inference-for-individual-fairness-2103.16714</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-inference-for-individual-fairness-2103.16714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-inference-for-individual-fairness-2103.16714"/></url>
<url><loc>https://scifaro.com/en/abs/trusted-artificial-intelligence-towards-certification-of-machine-learning-applications-2103.16910</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trusted-artificial-intelligence-towards-certification-of-machine-learning-applications-2103.16910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trusted-artificial-intelligence-towards-certification-of-machine-learning-applications-2103.16910"/></url>
<url><loc>https://scifaro.com/en/abs/using-activation-histograms-to-bound-the-number-of-affine-regions-in-relu-feed-forward-neural-networks-2103.17174</loc><lastmod>2021-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-activation-histograms-to-bound-the-number-of-affine-regions-in-relu-feed-forward-neural-networks-2103.17174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-activation-histograms-to-bound-the-number-of-affine-regions-in-relu-feed-forward-neural-networks-2103.17174"/></url>
<url><loc>https://scifaro.com/en/abs/universal-prediction-band-via-semi-definite-programming-2103.17203</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-prediction-band-via-semi-definite-programming-2103.17203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-prediction-band-via-semi-definite-programming-2103.17203"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-uncertainty-quantification-via-tensor-regression-with-rank-determination-and-adaptive-sampling-2103.17236</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-uncertainty-quantification-via-tensor-regression-with-rank-determination-and-adaptive-sampling-2103.17236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-uncertainty-quantification-via-tensor-regression-with-rank-determination-and-adaptive-sampling-2103.17236"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-differentially-private-em-algorithm-methods-and-near-optimal-statistical-guarantees-2104.00245</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-differentially-private-em-algorithm-methods-and-near-optimal-statistical-guarantees-2104.00245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-differentially-private-em-algorithm-methods-and-near-optimal-statistical-guarantees-2104.00245"/></url>
<url><loc>https://scifaro.com/en/abs/storchastic-a-framework-for-general-stochastic-automatic-differentiation-2104.00428</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/storchastic-a-framework-for-general-stochastic-automatic-differentiation-2104.00428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/storchastic-a-framework-for-general-stochastic-automatic-differentiation-2104.00428"/></url>
<url><loc>https://scifaro.com/en/abs/fairmodels-a-flexible-tool-for-bias-detection-visualization-and-mitigation-2104.00507</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairmodels-a-flexible-tool-for-bias-detection-visualization-and-mitigation-2104.00507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairmodels-a-flexible-tool-for-bias-detection-visualization-and-mitigation-2104.00507"/></url>
<url><loc>https://scifaro.com/en/abs/model-selection-for-time-series-forecasting-empirical-analysis-of-different-estimators-2104.00584</loc><lastmod>2022-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-selection-for-time-series-forecasting-empirical-analysis-of-different-estimators-2104.00584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-selection-for-time-series-forecasting-empirical-analysis-of-different-estimators-2104.00584"/></url>
<url><loc>https://scifaro.com/en/abs/nerf-vae-a-geometry-aware-3d-scene-generative-model-2104.00587</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nerf-vae-a-geometry-aware-3d-scene-generative-model-2104.00587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nerf-vae-a-geometry-aware-3d-scene-generative-model-2104.00587"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-target-encoding-outperforms-traditional-methods-in-supervised-machine-learning-with-high-cardinality-features-2104.00629</loc><lastmod>2022-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-target-encoding-outperforms-traditional-methods-in-supervised-machine-learning-with-high-cardinality-features-2104.00629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-target-encoding-outperforms-traditional-methods-in-supervised-machine-learning-with-high-cardinality-features-2104.00629"/></url>
<url><loc>https://scifaro.com/en/abs/holdout-based-fidelity-and-privacy-assessment-of-mixed-type-synthetic-data-2104.00635</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/holdout-based-fidelity-and-privacy-assessment-of-mixed-type-synthetic-data-2104.00635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/holdout-based-fidelity-and-privacy-assessment-of-mixed-type-synthetic-data-2104.00635"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-silos-increased-modularity-in-intra-organizational-communication-networks-during-the-covid-19-pandemic-2104.00641</loc><lastmod>2023-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-silos-increased-modularity-in-intra-organizational-communication-networks-during-the-covid-19-pandemic-2104.00641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-silos-increased-modularity-in-intra-organizational-communication-networks-during-the-covid-19-pandemic-2104.00641"/></url>
<url><loc>https://scifaro.com/en/abs/generative-locally-linear-embedding-2104.01525</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-locally-linear-embedding-2104.01525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-locally-linear-embedding-2104.01525"/></url>
<url><loc>https://scifaro.com/en/abs/topological-information-retrieval-with-dilation-invariant-bottleneck-comparative-measures-2104.01672</loc><lastmod>2023-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topological-information-retrieval-with-dilation-invariant-bottleneck-comparative-measures-2104.01672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topological-information-retrieval-with-dilation-invariant-bottleneck-comparative-measures-2104.01672"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-for-non-negative-matrix-and-tensor-factorisations-with-a-smoothed-wasserstein-loss-2104.01708</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-for-non-negative-matrix-and-tensor-factorisations-with-a-smoothed-wasserstein-loss-2104.01708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-for-non-negative-matrix-and-tensor-factorisations-with-a-smoothed-wasserstein-loss-2104.01708"/></url>
<url><loc>https://scifaro.com/en/abs/model-compression-for-dynamic-forecast-combination-2104.01830</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-compression-for-dynamic-forecast-combination-2104.01830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-compression-for-dynamic-forecast-combination-2104.01830"/></url>
<url><loc>https://scifaro.com/en/abs/stopping-criterion-for-active-learning-based-on-error-stability-2104.01836</loc><lastmod>2021-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stopping-criterion-for-active-learning-based-on-error-stability-2104.01836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stopping-criterion-for-active-learning-based-on-error-stability-2104.01836"/></url>
<url><loc>https://scifaro.com/en/abs/analytic-function-approximation-by-path-norm-regularized-deep-networks-2104.02095</loc><lastmod>2022-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analytic-function-approximation-by-path-norm-regularized-deep-networks-2104.02095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analytic-function-approximation-by-path-norm-regularized-deep-networks-2104.02095"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-model-reduction-for-slow-fast-stochastic-systems-near-unknown-invariant-manifolds-2104.02120</loc><lastmod>2023-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-model-reduction-for-slow-fast-stochastic-systems-near-unknown-invariant-manifolds-2104.02120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-model-reduction-for-slow-fast-stochastic-systems-near-unknown-invariant-manifolds-2104.02120"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-rashomon-a-comment-on-the-two-cultures-2104.02150</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-rashomon-a-comment-on-the-two-cultures-2104.02150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-rashomon-a-comment-on-the-two-cultures-2104.02150"/></url>
<url><loc>https://scifaro.com/en/abs/survey-of-imbalanced-data-methodologies-2104.02240</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survey-of-imbalanced-data-methodologies-2104.02240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survey-of-imbalanced-data-methodologies-2104.02240"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-approach-for-semiconductor-etching-process-with-inductive-biases-2104.02468</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-approach-for-semiconductor-etching-process-with-inductive-biases-2104.02468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-approach-for-semiconductor-etching-process-with-inductive-biases-2104.02468"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-prediction-of-complex-geology-ahead-of-drilling-2104.02550</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-prediction-of-complex-geology-ahead-of-drilling-2104.02550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-prediction-of-complex-geology-ahead-of-drilling-2104.02550"/></url>
<url><loc>https://scifaro.com/en/abs/model-data-driven-constitutive-responses-application-to-a-multiscale-computational-framework-2104.02650</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-data-driven-constitutive-responses-application-to-a-multiscale-computational-framework-2104.02650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-data-driven-constitutive-responses-application-to-a-multiscale-computational-framework-2104.02650"/></url>
<url><loc>https://scifaro.com/en/abs/deepregression-a-flexible-neural-network-framework-for-semi-structured-deep-distributional-regression-2104.02705</loc><lastmod>2022-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepregression-a-flexible-neural-network-framework-for-semi-structured-deep-distributional-regression-2104.02705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepregression-a-flexible-neural-network-framework-for-semi-structured-deep-distributional-regression-2104.02705"/></url>
<url><loc>https://scifaro.com/en/abs/robust-semantic-interpretability-revisiting-concept-activation-vectors-2104.02768</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-semantic-interpretability-revisiting-concept-activation-vectors-2104.02768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-semantic-interpretability-revisiting-concept-activation-vectors-2104.02768"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-partial-least-squares-for-coarse-noisy-graph-alignment-2104.02810</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-partial-least-squares-for-coarse-noisy-graph-alignment-2104.02810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-partial-least-squares-for-coarse-noisy-graph-alignment-2104.02810"/></url>
<url><loc>https://scifaro.com/en/abs/harmless-label-noise-and-informative-soft-labels-in-supervised-classification-2104.02872</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/harmless-label-noise-and-informative-soft-labels-in-supervised-classification-2104.02872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/harmless-label-noise-and-informative-soft-labels-in-supervised-classification-2104.02872"/></url>
<url><loc>https://scifaro.com/en/abs/online-feature-screening-for-data-streams-with-concept-drift-2104.02883</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-feature-screening-for-data-streams-with-concept-drift-2104.02883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-feature-screening-for-data-streams-with-concept-drift-2104.02883"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-kernel-machine-learning-for-a-class-of-doubly-robust-functionals-with-application-to-proximal-causal-inference-2104.02929</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-kernel-machine-learning-for-a-class-of-doubly-robust-functionals-with-application-to-proximal-causal-inference-2104.02929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-kernel-machine-learning-for-a-class-of-doubly-robust-functionals-with-application-to-proximal-causal-inference-2104.02929"/></url>
<url><loc>https://scifaro.com/en/abs/hollow-tree-super-a-directional-and-scalable-approach-for-feature-importance-in-boosted-tree-models-2104.03088</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hollow-tree-super-a-directional-and-scalable-approach-for-feature-importance-in-boosted-tree-models-2104.03088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hollow-tree-super-a-directional-and-scalable-approach-for-feature-importance-in-boosted-tree-models-2104.03088"/></url>
<url><loc>https://scifaro.com/en/abs/which-neural-network-to-choose-for-post-fault-localization-dynamic-state-estimation-and-optimal-measurement-placement-in-power-systems-2104.03115</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/which-neural-network-to-choose-for-post-fault-localization-dynamic-state-estimation-and-optimal-measurement-placement-in-power-systems-2104.03115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/which-neural-network-to-choose-for-post-fault-localization-dynamic-state-estimation-and-optimal-measurement-placement-in-power-systems-2104.03115"/></url>
<url><loc>https://scifaro.com/en/abs/simple-imputation-rules-for-prediction-with-missing-data-contrasting-theoretical-guarantees-with-empirical-performance-2104.03158</loc><lastmod>2025-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-imputation-rules-for-prediction-with-missing-data-contrasting-theoretical-guarantees-with-empirical-performance-2104.03158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-imputation-rules-for-prediction-with-missing-data-contrasting-theoretical-guarantees-with-empirical-performance-2104.03158"/></url>
<url><loc>https://scifaro.com/en/abs/doubleml-an-object-oriented-implementation-of-double-machine-learning-in-python-2104.03220</loc><lastmod>2022-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubleml-an-object-oriented-implementation-of-double-machine-learning-in-python-2104.03220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubleml-an-object-oriented-implementation-of-double-machine-learning-in-python-2104.03220"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-nmf-with-archetypal-regularization-computational-and-robustness-properties-2104.03527</loc><lastmod>2024-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-nmf-with-archetypal-regularization-computational-and-robustness-properties-2104.03527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-nmf-with-archetypal-regularization-computational-and-robustness-properties-2104.03527"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-of-classifiers-from-a-statistical-perspective-a-brief-review-2104.04046</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-of-classifiers-from-a-statistical-perspective-a-brief-review-2104.04046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-of-classifiers-from-a-statistical-perspective-a-brief-review-2104.04046"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-dense-subhypergraph-detection-2104.04047</loc><lastmod>2021-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-dense-subhypergraph-detection-2104.04047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-dense-subhypergraph-detection-2104.04047"/></url>
<url><loc>https://scifaro.com/en/abs/causal-decision-making-and-causal-effect-estimation-are-not-the-same-and-why-it-matters-2104.04103</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-decision-making-and-causal-effect-estimation-are-not-the-same-and-why-it-matters-2104.04103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-decision-making-and-causal-effect-estimation-are-not-the-same-and-why-it-matters-2104.04103"/></url>
<url><loc>https://scifaro.com/en/abs/deep-time-series-forecasting-with-shape-and-temporal-criteria-2104.04610</loc><lastmod>2022-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-time-series-forecasting-with-shape-and-temporal-criteria-2104.04610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-time-series-forecasting-with-shape-and-temporal-criteria-2104.04610"/></url>
<url><loc>https://scifaro.com/en/abs/random-intersection-chains-2104.04714</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-intersection-chains-2104.04714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-intersection-chains-2104.04714"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-marginal-likelihood-estimation-for-model-selection-in-deep-learning-2104.04975</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-marginal-likelihood-estimation-for-model-selection-in-deep-learning-2104.04975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-marginal-likelihood-estimation-for-model-selection-in-deep-learning-2104.04975"/></url>
<url><loc>https://scifaro.com/en/abs/unsuitability-of-notears-for-causal-graph-discovery-2104.05441</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsuitability-of-notears-for-causal-graph-discovery-2104.05441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsuitability-of-notears-for-causal-graph-discovery-2104.05441"/></url>
<url><loc>https://scifaro.com/en/abs/gpflux-a-library-for-deep-gaussian-processes-2104.05674</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gpflux-a-library-for-deep-gaussian-processes-2104.05674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gpflux-a-library-for-deep-gaussian-processes-2104.05674"/></url>
<url><loc>https://scifaro.com/en/abs/covid-19-case-data-for-italy-stratified-by-age-class-2104.06199</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covid-19-case-data-for-italy-stratified-by-age-class-2104.06199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covid-19-case-data-for-italy-stratified-by-age-class-2104.06199"/></url>
<url><loc>https://scifaro.com/en/abs/towards-unbiased-random-features-with-lower-variance-for-stationary-indefinite-kernels-2104.06204</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-unbiased-random-features-with-lower-variance-for-stationary-indefinite-kernels-2104.06204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-unbiased-random-features-with-lower-variance-for-stationary-indefinite-kernels-2104.06204"/></url>
<url><loc>https://scifaro.com/en/abs/deep-imagination-is-a-close-to-optimal-policy-for-planning-in-large-decision-trees-under-limited-resources-2104.06339</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-imagination-is-a-close-to-optimal-policy-for-planning-in-large-decision-trees-under-limited-resources-2104.06339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-imagination-is-a-close-to-optimal-policy-for-planning-in-large-decision-trees-under-limited-resources-2104.06339"/></url>
<url><loc>https://scifaro.com/en/abs/thresholded-graphical-lasso-adjusts-for-latent-variables-application-to-functional-neural-connectivity-2104.06389</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thresholded-graphical-lasso-adjusts-for-latent-variables-application-to-functional-neural-connectivity-2104.06389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thresholded-graphical-lasso-adjusts-for-latent-variables-application-to-functional-neural-connectivity-2104.06389"/></url>
<url><loc>https://scifaro.com/en/abs/considerations-across-three-cultures-parametric-regressions-interpretable-algorithms-and-complex-algorithms-2104.06571</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/considerations-across-three-cultures-parametric-regressions-interpretable-algorithms-and-complex-algorithms-2104.06571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/considerations-across-three-cultures-parametric-regressions-interpretable-algorithms-and-complex-algorithms-2104.06571"/></url>
<url><loc>https://scifaro.com/en/abs/root-finding-approaches-for-computing-conformal-prediction-set-2104.06648</loc><lastmod>2022-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/root-finding-approaches-for-computing-conformal-prediction-set-2104.06648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/root-finding-approaches-for-computing-conformal-prediction-set-2104.06648"/></url>
<url><loc>https://scifaro.com/en/abs/mean-squared-accuracy-of-good-turing-estimator-2104.07029</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-squared-accuracy-of-good-turing-estimator-2104.07029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-squared-accuracy-of-good-turing-estimator-2104.07029"/></url>
<url><loc>https://scifaro.com/en/abs/coarse-and-fine-scale-geometric-information-content-of-multiclass-classification-and-implied-data-driven-intelligence-2104.07191</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coarse-and-fine-scale-geometric-information-content-of-multiclass-classification-and-implied-data-driven-intelligence-2104.07191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coarse-and-fine-scale-geometric-information-content-of-multiclass-classification-and-implied-data-driven-intelligence-2104.07191"/></url>
<url><loc>https://scifaro.com/en/abs/a-random-persistence-diagram-generator-2104.07737</loc><lastmod>2022-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-random-persistence-diagram-generator-2104.07737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-random-persistence-diagram-generator-2104.07737"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-water-demand-forecasting-using-quantile-regression-algorithms-2104.07985</loc><lastmod>2022-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-water-demand-forecasting-using-quantile-regression-algorithms-2104.07985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-water-demand-forecasting-using-quantile-regression-algorithms-2104.07985"/></url>
<url><loc>https://scifaro.com/en/abs/data-generating-process-to-evaluate-causal-discovery-techniques-for-time-series-data-2104.08043</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-generating-process-to-evaluate-causal-discovery-techniques-for-time-series-data-2104.08043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-generating-process-to-evaluate-causal-discovery-techniques-for-time-series-data-2104.08043"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-domain-knowledge-in-data-driven-earth-observation-with-process-convolutions-2104.08134</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-domain-knowledge-in-data-driven-earth-observation-with-process-convolutions-2104.08134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-domain-knowledge-in-data-driven-earth-observation-with-process-convolutions-2104.08134"/></url>
<url><loc>https://scifaro.com/en/abs/finding-motifs-in-knowledge-graphs-using-compression-2104.08163</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-motifs-in-knowledge-graphs-using-compression-2104.08163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-motifs-in-knowledge-graphs-using-compression-2104.08163"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayesian-matrix-completion-with-a-spectral-scaled-student-prior-2104.08191</loc><lastmod>2022-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayesian-matrix-completion-with-a-spectral-scaled-student-prior-2104.08191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayesian-matrix-completion-with-a-spectral-scaled-student-prior-2104.08191"/></url>
<url><loc>https://scifaro.com/en/abs/data-shapley-valuation-for-efficient-batch-active-learning-2104.08312</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-shapley-valuation-for-efficient-batch-active-learning-2104.08312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-shapley-valuation-for-efficient-batch-active-learning-2104.08312"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-robustness-to-misspecification-of-alpha-posteriors-and-their-variational-approximations-2104.08324</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-robustness-to-misspecification-of-alpha-posteriors-and-their-variational-approximations-2104.08324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-robustness-to-misspecification-of-alpha-posteriors-and-their-variational-approximations-2104.08324"/></url>
<url><loc>https://scifaro.com/en/abs/group-sparse-matrix-factorization-for-transfer-learning-of-word-embeddings-2104.08928</loc><lastmod>2024-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-sparse-matrix-factorization-for-transfer-learning-of-word-embeddings-2104.08928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-sparse-matrix-factorization-for-transfer-learning-of-word-embeddings-2104.08928"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-covid-19-counts-at-a-single-hospital-a-hierarchical-bayesian-approach-2104.09327</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-covid-19-counts-at-a-single-hospital-a-hierarchical-bayesian-approach-2104.09327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-covid-19-counts-at-a-single-hospital-a-hierarchical-bayesian-approach-2104.09327"/></url>
<url><loc>https://scifaro.com/en/abs/epsilon-consistent-mixup-structural-regularization-with-an-adaptive-consistency-interpolation-tradeoff-2104.09452</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/epsilon-consistent-mixup-structural-regularization-with-an-adaptive-consistency-interpolation-tradeoff-2104.09452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/epsilon-consistent-mixup-structural-regularization-with-an-adaptive-consistency-interpolation-tradeoff-2104.09452"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-algorithm-execution-estimating-computable-properties-of-black-box-functions-using-mutual-information-2104.09460</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-algorithm-execution-estimating-computable-properties-of-black-box-functions-using-mutual-information-2104.09460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-algorithm-execution-estimating-computable-properties-of-black-box-functions-using-mutual-information-2104.09460"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-between-soft-and-hard-thresholding-by-scaling-2104.09703</loc><lastmod>2022-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-between-soft-and-hard-thresholding-by-scaling-2104.09703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-between-soft-and-hard-thresholding-by-scaling-2104.09703"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-distillation-as-semiparametric-inference-2104.09732</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-distillation-as-semiparametric-inference-2104.09732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-distillation-as-semiparametric-inference-2104.09732"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-the-jse-top-40-using-long-short-term-memory-networks-2104.09855</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-the-jse-top-40-using-long-short-term-memory-networks-2104.09855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-the-jse-top-40-using-long-short-term-memory-networks-2104.09855"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-model-compression-via-pseudo-quantization-noise-2104.09987</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-model-compression-via-pseudo-quantization-noise-2104.09987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-model-compression-via-pseudo-quantization-noise-2104.09987"/></url>
<url><loc>https://scifaro.com/en/abs/asymmetric-compressive-learning-guarantees-with-applications-to-quantized-sketches-2104.10061</loc><lastmod>2022-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymmetric-compressive-learning-guarantees-with-applications-to-quantized-sketches-2104.10061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymmetric-compressive-learning-guarantees-with-applications-to-quantized-sketches-2104.10061"/></url>
<url><loc>https://scifaro.com/en/abs/space-partitioning-and-regression-mode-seeking-via-a-mean-shift-inspired-algorithm-2104.10103</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/space-partitioning-and-regression-mode-seeking-via-a-mean-shift-inspired-algorithm-2104.10103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/space-partitioning-and-regression-mode-seeking-via-a-mean-shift-inspired-algorithm-2104.10103"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-subset-selection-and-variable-importance-for-interpretable-prediction-and-classification-2104.10150</loc><lastmod>2022-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-subset-selection-and-variable-importance-for-interpretable-prediction-and-classification-2104.10150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-subset-selection-and-variable-importance-for-interpretable-prediction-and-classification-2104.10150"/></url>
<url><loc>https://scifaro.com/en/abs/a-class-of-network-models-recoverable-by-spectral-clustering-2104.10347</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-class-of-network-models-recoverable-by-spectral-clustering-2104.10347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-class-of-network-models-recoverable-by-spectral-clustering-2104.10347"/></url>
<url><loc>https://scifaro.com/en/abs/dataset-inference-ownership-resolution-in-machine-learning-2104.10706</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dataset-inference-ownership-resolution-in-machine-learning-2104.10706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dataset-inference-ownership-resolution-in-machine-learning-2104.10706"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-model-training-under-restrictive-time-constraints-2104.10746</loc><lastmod>2024-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-model-training-under-restrictive-time-constraints-2104.10746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-model-training-under-restrictive-time-constraints-2104.10746"/></url>
<url><loc>https://scifaro.com/en/abs/skeleton-clustering-dimension-free-density-based-clustering-2104.10770</loc><lastmod>2023-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/skeleton-clustering-dimension-free-density-based-clustering-2104.10770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/skeleton-clustering-dimension-free-density-based-clustering-2104.10770"/></url>
<url><loc>https://scifaro.com/en/abs/accurate-and-fast-matrix-factorization-for-low-rank-learning-2104.10785</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accurate-and-fast-matrix-factorization-for-low-rank-learning-2104.10785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accurate-and-fast-matrix-factorization-for-low-rank-learning-2104.10785"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-selective-inference-for-robust-regression-and-outlier-detection-using-piecewise-linear-homotopy-continuation-2104.10840</loc><lastmod>2022-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-selective-inference-for-robust-regression-and-outlier-detection-using-piecewise-linear-homotopy-continuation-2104.10840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-selective-inference-for-robust-regression-and-outlier-detection-using-piecewise-linear-homotopy-continuation-2104.10840"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-predictive-skills-in-physically-consistent-way-physics-informed-machine-learning-for-hydrological-processes-2104.11009</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-predictive-skills-in-physically-consistent-way-physics-informed-machine-learning-for-hydrological-processes-2104.11009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-predictive-skills-in-physically-consistent-way-physics-informed-machine-learning-for-hydrological-processes-2104.11009"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-detecting-bid-rigging-flagging-cartel-participants-based-on-convolutional-neural-networks-2104.11142</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-detecting-bid-rigging-flagging-cartel-participants-based-on-convolutional-neural-networks-2104.11142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-detecting-bid-rigging-flagging-cartel-participants-based-on-convolutional-neural-networks-2104.11142"/></url>
<url><loc>https://scifaro.com/en/abs/imagining-the-road-ahead-multi-agent-trajectory-prediction-via-differentiable-simulation-2104.11212</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imagining-the-road-ahead-multi-agent-trajectory-prediction-via-differentiable-simulation-2104.11212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imagining-the-road-ahead-multi-agent-trajectory-prediction-via-differentiable-simulation-2104.11212"/></url>
<url><loc>https://scifaro.com/en/abs/grouped-feature-importance-and-combined-features-effect-plot-2104.11688</loc><lastmod>2023-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grouped-feature-importance-and-combined-features-effect-plot-2104.11688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grouped-feature-importance-and-combined-features-effect-plot-2104.11688"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-tensor-estimation-via-riemannian-gauss-newton-statistical-optimality-and-second-order-convergence-2104.12031</loc><lastmod>2023-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-tensor-estimation-via-riemannian-gauss-newton-statistical-optimality-and-second-order-convergence-2104.12031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-tensor-estimation-via-riemannian-gauss-newton-statistical-optimality-and-second-order-convergence-2104.12031"/></url>
<url><loc>https://scifaro.com/en/abs/deep-probabilistic-graphical-modeling-2104.12053</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-probabilistic-graphical-modeling-2104.12053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-probabilistic-graphical-modeling-2104.12053"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-approaches-for-binary-classification-to-discover-liver-diseases-using-clinical-data-2104.12055</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-approaches-for-binary-classification-to-discover-liver-diseases-using-clinical-data-2104.12055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-approaches-for-binary-classification-to-discover-liver-diseases-using-clinical-data-2104.12055"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-permutations-for-shapley-value-estimation-2104.12199</loc><lastmod>2022-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-permutations-for-shapley-value-estimation-2104.12199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-permutations-for-shapley-value-estimation-2104.12199"/></url>
<url><loc>https://scifaro.com/en/abs/breiman-s-two-cultures-you-don-t-have-to-choose-sides-2104.12219</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breiman-s-two-cultures-you-don-t-have-to-choose-sides-2104.12219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breiman-s-two-cultures-you-don-t-have-to-choose-sides-2104.12219"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-metrics-sample-efficient-estimates-of-predictive-model-subpopulation-performance-2104.12231</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-metrics-sample-efficient-estimates-of-predictive-model-subpopulation-performance-2104.12231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-metrics-sample-efficient-estimates-of-predictive-model-subpopulation-performance-2104.12231"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-for-ridge-estimation-with-convergence-guarantees-2104.12314</loc><lastmod>2025-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-for-ridge-estimation-with-convergence-guarantees-2104.12314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-for-ridge-estimation-with-convergence-guarantees-2104.12314"/></url>
<url><loc>https://scifaro.com/en/abs/finite-sample-approximations-of-exact-and-entropic-wasserstein-distances-between-covariance-operators-and-gaussian-processes-2104.12368</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-sample-approximations-of-exact-and-entropic-wasserstein-distances-between-covariance-operators-and-gaussian-processes-2104.12368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-sample-approximations-of-exact-and-entropic-wasserstein-distances-between-covariance-operators-and-gaussian-processes-2104.12368"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-distance-estimates-for-the-distributions-of-numerical-approximations-to-ergodic-stochastic-differential-equations-2104.12384</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-distance-estimates-for-the-distributions-of-numerical-approximations-to-ergodic-stochastic-differential-equations-2104.12384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-distance-estimates-for-the-distributions-of-numerical-approximations-to-ergodic-stochastic-differential-equations-2104.12384"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-depressive-symptom-severity-through-individuals-nearby-bluetooth-devices-count-data-collected-by-mobile-phones-a-preliminary-longitudinal-study-2104.12407</loc><lastmod>2023-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-depressive-symptom-severity-through-individuals-nearby-bluetooth-devices-count-data-collected-by-mobile-phones-a-preliminary-longitudinal-study-2104.12407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-depressive-symptom-severity-through-individuals-nearby-bluetooth-devices-count-data-collected-by-mobile-phones-a-preliminary-longitudinal-study-2104.12407"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-the-performance-of-personal-social-health-related-biomarker-and-genetic-data-for-predicting-an-individuals-future-health-using-machine-learning-a-longitudinal-analysis-2104.12516</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-the-performance-of-personal-social-health-related-biomarker-and-genetic-data-for-predicting-an-individuals-future-health-using-machine-learning-a-longitudinal-analysis-2104.12516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-the-performance-of-personal-social-health-related-biomarker-and-genetic-data-for-predicting-an-individuals-future-health-using-machine-learning-a-longitudinal-analysis-2104.12516"/></url>
<url><loc>https://scifaro.com/en/abs/consistency-issues-in-gaussian-mixture-models-reduction-algorithms-2104.12586</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistency-issues-in-gaussian-mixture-models-reduction-algorithms-2104.12586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistency-issues-in-gaussian-mixture-models-reduction-algorithms-2104.12586"/></url>
<url><loc>https://scifaro.com/en/abs/tsrobprep-an-r-package-for-robust-preprocessing-of-time-series-data-2104.12657</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tsrobprep-an-r-package-for-robust-preprocessing-of-time-series-data-2104.12657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tsrobprep-an-r-package-for-robust-preprocessing-of-time-series-data-2104.12657"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-bayesian-filtering-lends-momentum-to-the-stochastic-newton-method-for-minimizing-log-convex-functions-2104.12949</loc><lastmod>2023-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-bayesian-filtering-lends-momentum-to-the-stochastic-newton-method-for-minimizing-log-convex-functions-2104.12949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-bayesian-filtering-lends-momentum-to-the-stochastic-newton-method-for-minimizing-log-convex-functions-2104.12949"/></url>
<url><loc>https://scifaro.com/en/abs/the-hessian-screening-rule-2104.13026</loc><lastmod>2024-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-hessian-screening-rule-2104.13026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-hessian-screening-rule-2104.13026"/></url>
<url><loc>https://scifaro.com/en/abs/initializing-lstm-internal-states-via-manifold-learning-2104.13101</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/initializing-lstm-internal-states-via-manifold-learning-2104.13101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/initializing-lstm-internal-states-via-manifold-learning-2104.13101"/></url>
<url><loc>https://scifaro.com/en/abs/infinitesimal-gradient-boosting-2104.13208</loc><lastmod>2023-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infinitesimal-gradient-boosting-2104.13208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infinitesimal-gradient-boosting-2104.13208"/></url>
<url><loc>https://scifaro.com/en/abs/robust-classification-via-support-vector-machines-2104.13458</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-classification-via-support-vector-machines-2104.13458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-classification-via-support-vector-machines-2104.13458"/></url>
<url><loc>https://scifaro.com/en/abs/phenotyping-osa-a-time-series-analysis-using-fuzzy-clustering-and-persistent-homology-2104.13479</loc><lastmod>2021-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phenotyping-osa-a-time-series-analysis-using-fuzzy-clustering-and-persistent-homology-2104.13479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phenotyping-osa-a-time-series-analysis-using-fuzzy-clustering-and-persistent-homology-2104.13479"/></url>
<url><loc>https://scifaro.com/en/abs/self-bounding-majority-vote-learning-algorithms-by-the-direct-minimization-of-a-tight-pac-bayesian-c-bound-2104.13626</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-bounding-majority-vote-learning-algorithms-by-the-direct-minimization-of-a-tight-pac-bayesian-c-bound-2104.13626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-bounding-majority-vote-learning-algorithms-by-the-direct-minimization-of-a-tight-pac-bayesian-c-bound-2104.13626"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-stopping-via-randomized-neural-networks-2104.13669</loc><lastmod>2023-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-stopping-via-randomized-neural-networks-2104.13669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-stopping-via-randomized-neural-networks-2104.13669"/></url>
<url><loc>https://scifaro.com/en/abs/distributional-gaussian-process-layers-for-outlier-detection-in-image-segmentation-2104.13756</loc><lastmod>2021-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributional-gaussian-process-layers-for-outlier-detection-in-image-segmentation-2104.13756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributional-gaussian-process-layers-for-outlier-detection-in-image-segmentation-2104.13756"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-prediction-with-decision-trees-2104.13881</loc><lastmod>2023-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-prediction-with-decision-trees-2104.13881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-prediction-with-decision-trees-2104.13881"/></url>
<url><loc>https://scifaro.com/en/abs/simplified-kalman-filter-for-online-rating-one-fits-all-approach-2104.14012</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simplified-kalman-filter-for-online-rating-one-fits-all-approach-2104.14012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simplified-kalman-filter-for-online-rating-one-fits-all-approach-2104.14012"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-level-set-learning-for-function-approximation-on-sparse-data-with-applications-to-parametric-differential-equations-2104.14072</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-level-set-learning-for-function-approximation-on-sparse-data-with-applications-to-parametric-differential-equations-2104.14072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-level-set-learning-for-function-approximation-on-sparse-data-with-applications-to-parametric-differential-equations-2104.14072"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-guarantees-for-neural-architecture-search-with-train-validation-split-2104.14132</loc><lastmod>2022-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-guarantees-for-neural-architecture-search-with-train-validation-split-2104.14132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-guarantees-for-neural-architecture-search-with-train-validation-split-2104.14132"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-linear-models-with-structured-sparsity-estimators-2104.14371</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-linear-models-with-structured-sparsity-estimators-2104.14371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-linear-models-with-structured-sparsity-estimators-2104.14371"/></url>
<url><loc>https://scifaro.com/en/abs/sample-selection-from-a-given-dataset-to-validate-machine-learning-models-2104.14401</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-selection-from-a-given-dataset-to-validate-machine-learning-models-2104.14401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-selection-from-a-given-dataset-to-validate-machine-learning-models-2104.14401"/></url>
<url><loc>https://scifaro.com/en/abs/photonic-co-processors-in-hpc-using-lighton-opus-for-randomized-numerical-linear-algebra-2104.14429</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/photonic-co-processors-in-hpc-using-lighton-opus-for-randomized-numerical-linear-algebra-2104.14429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/photonic-co-processors-in-hpc-using-lighton-opus-for-randomized-numerical-linear-algebra-2104.14429"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-mirror-descent-for-low-rank-tensor-decomposition-under-non-euclidean-losses-2104.14562</loc><lastmod>2022-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-mirror-descent-for-low-rank-tensor-decomposition-under-non-euclidean-losses-2104.14562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-mirror-descent-for-low-rank-tensor-decomposition-under-non-euclidean-losses-2104.14562"/></url>
<url><loc>https://scifaro.com/en/abs/on-in-network-learning-a-comparative-study-with-federated-and-split-learning-2104.14929</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-in-network-learning-a-comparative-study-with-federated-and-split-learning-2104.14929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-in-network-learning-a-comparative-study-with-federated-and-split-learning-2104.14929"/></url>
<url><loc>https://scifaro.com/en/abs/a-riemannian-newton-trust-region-method-for-fitting-gaussian-mixture-models-2104.14957</loc><lastmod>2022-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-riemannian-newton-trust-region-method-for-fitting-gaussian-mixture-models-2104.14957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-riemannian-newton-trust-region-method-for-fitting-gaussian-mixture-models-2104.14957"/></url>
<url><loc>https://scifaro.com/en/abs/assessment-of-the-influence-of-features-on-a-classification-problem-an-application-to-covid-19-patients-2104.14958</loc><lastmod>2023-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessment-of-the-influence-of-features-on-a-classification-problem-an-application-to-covid-19-patients-2104.14958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessment-of-the-influence-of-features-on-a-classification-problem-an-application-to-covid-19-patients-2104.14958"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-normalizing-flows-on-manifolds-2104.14959</loc><lastmod>2021-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-normalizing-flows-on-manifolds-2104.14959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-normalizing-flows-on-manifolds-2104.14959"/></url>
<url><loc>https://scifaro.com/en/abs/linear-convergence-of-the-subspace-constrained-mean-shift-algorithm-from-euclidean-to-directional-data-2104.14977</loc><lastmod>2025-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-convergence-of-the-subspace-constrained-mean-shift-algorithm-from-euclidean-to-directional-data-2104.14977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-convergence-of-the-subspace-constrained-mean-shift-algorithm-from-euclidean-to-directional-data-2104.14977"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-slate-recommendation-with-gated-recurrent-units-and-thompson-sampling-2104.15046</loc><lastmod>2021-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-slate-recommendation-with-gated-recurrent-units-and-thompson-sampling-2104.15046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-slate-recommendation-with-gated-recurrent-units-and-thompson-sampling-2104.15046"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-the-information-content-of-distance-measures-2104.15079</loc><lastmod>2022-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-the-information-content-of-distance-measures-2104.15079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-the-information-content-of-distance-measures-2104.15079"/></url>
<url><loc>https://scifaro.com/en/abs/data-augmentation-in-high-dimensional-low-sample-size-setting-using-a-geometry-based-variational-autoencoder-2105.00026</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-augmentation-in-high-dimensional-low-sample-size-setting-using-a-geometry-based-variational-autoencoder-2105.00026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-augmentation-in-high-dimensional-low-sample-size-setting-using-a-geometry-based-variational-autoencoder-2105.00026"/></url>
<url><loc>https://scifaro.com/en/abs/autoregressive-hidden-markov-models-with-partial-knowledge-on-latent-space-applied-to-aero-engines-prognostics-2105.00211</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoregressive-hidden-markov-models-with-partial-knowledge-on-latent-space-applied-to-aero-engines-prognostics-2105.00211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoregressive-hidden-markov-models-with-partial-knowledge-on-latent-space-applied-to-aero-engines-prognostics-2105.00211"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-completion-based-on-gaussian-parameterized-belief-propagation-2105.00233</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-completion-based-on-gaussian-parameterized-belief-propagation-2105.00233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-completion-based-on-gaussian-parameterized-belief-propagation-2105.00233"/></url>
<url><loc>https://scifaro.com/en/abs/one-pass-stochastic-gradient-descent-in-overparametrized-two-layer-neural-networks-2105.00262</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-pass-stochastic-gradient-descent-in-overparametrized-two-layer-neural-networks-2105.00262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-pass-stochastic-gradient-descent-in-overparametrized-two-layer-neural-networks-2105.00262"/></url>
<url><loc>https://scifaro.com/en/abs/lattice-paths-for-persistent-diagrams-2105.00351</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lattice-paths-for-persistent-diagrams-2105.00351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lattice-paths-for-persistent-diagrams-2105.00351"/></url>
<url><loc>https://scifaro.com/en/abs/synthesized-difference-in-differences-2105.00455</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synthesized-difference-in-differences-2105.00455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synthesized-difference-in-differences-2105.00455"/></url>
<url><loc>https://scifaro.com/en/abs/robust-sample-weighting-to-facilitate-individualized-treatment-rule-learning-for-a-target-population-2105.00581</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-sample-weighting-to-facilitate-individualized-treatment-rule-learning-for-a-target-population-2105.00581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-sample-weighting-to-facilitate-individualized-treatment-rule-learning-for-a-target-population-2105.00581"/></url>
<url><loc>https://scifaro.com/en/abs/initialization-and-regularization-of-factorized-neural-layers-2105.01029</loc><lastmod>2022-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/initialization-and-regularization-of-factorized-neural-layers-2105.01029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/initialization-and-regularization-of-factorized-neural-layers-2105.01029"/></url>
<url><loc>https://scifaro.com/en/abs/learning-good-state-and-action-representations-via-tensor-decomposition-2105.01136</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-good-state-and-action-representations-via-tensor-decomposition-2105.01136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-good-state-and-action-representations-via-tensor-decomposition-2105.01136"/></url>
<url><loc>https://scifaro.com/en/abs/distributive-justice-and-fairness-metrics-in-automated-decision-making-how-much-overlap-is-there-2105.01441</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributive-justice-and-fairness-metrics-in-automated-decision-making-how-much-overlap-is-there-2105.01441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributive-justice-and-fairness-metrics-in-automated-decision-making-how-much-overlap-is-there-2105.01441"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-sample-complexity-of-rank-regression-from-pairwise-comparisons-2105.01463</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-rank-regression-from-pairwise-comparisons-2105.01463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-rank-regression-from-pairwise-comparisons-2105.01463"/></url>
<url><loc>https://scifaro.com/en/abs/abstraction-guided-truncations-for-stationary-distributions-of-markov-population-models-2105.01536</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/abstraction-guided-truncations-for-stationary-distributions-of-markov-population-models-2105.01536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/abstraction-guided-truncations-for-stationary-distributions-of-markov-population-models-2105.01536"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-differentiation-for-fast-hyperparameter-selection-in-non-smooth-convex-learning-2105.01637</loc><lastmod>2022-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-differentiation-for-fast-hyperparameter-selection-in-non-smooth-convex-learning-2105.01637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-differentiation-for-fast-hyperparameter-selection-in-non-smooth-convex-learning-2105.01637"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-descent-with-noise-of-machine-learning-type-part-i-discrete-time-analysis-2105.01650</loc><lastmod>2021-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-descent-with-noise-of-machine-learning-type-part-i-discrete-time-analysis-2105.01650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-descent-with-noise-of-machine-learning-type-part-i-discrete-time-analysis-2105.01650"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-trace-regression-in-high-dimensions-via-sign-series-representation-2105.01783</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-trace-regression-in-high-dimensions-via-sign-series-representation-2105.01783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-trace-regression-in-high-dimensions-via-sign-series-representation-2105.01783"/></url>
<url><loc>https://scifaro.com/en/abs/non-asymptotic-analysis-and-inference-for-an-outlyingness-induced-winsorized-mean-2105.02337</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-asymptotic-analysis-and-inference-for-an-outlyingness-induced-winsorized-mean-2105.02337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-asymptotic-analysis-and-inference-for-an-outlyingness-induced-winsorized-mean-2105.02337"/></url>
<url><loc>https://scifaro.com/en/abs/policy-learning-with-adaptively-collected-data-2105.02344</loc><lastmod>2022-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-learning-with-adaptively-collected-data-2105.02344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-learning-with-adaptively-collected-data-2105.02344"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-functional-graphical-model-structure-learning-via-neighborhood-selection-approach-2105.02487</loc><lastmod>2024-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-functional-graphical-model-structure-learning-via-neighborhood-selection-approach-2105.02487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-functional-graphical-model-structure-learning-via-neighborhood-selection-approach-2105.02487"/></url>
<url><loc>https://scifaro.com/en/abs/neural-graphical-modelling-in-continuous-time-consistency-guarantees-and-algorithms-2105.02522</loc><lastmod>2022-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-graphical-modelling-in-continuous-time-consistency-guarantees-and-algorithms-2105.02522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-graphical-modelling-in-continuous-time-consistency-guarantees-and-algorithms-2105.02522"/></url>
<url><loc>https://scifaro.com/en/abs/machine-collaboration-2105.02569</loc><lastmod>2024-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-collaboration-2105.02569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-collaboration-2105.02569"/></url>
<url><loc>https://scifaro.com/en/abs/semidefinite-programming-for-community-detection-with-side-information-2105.02816</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semidefinite-programming-for-community-detection-with-side-information-2105.02816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semidefinite-programming-for-community-detection-with-side-information-2105.02816"/></url>
<url><loc>https://scifaro.com/en/abs/the-layer-wise-l1-loss-landscape-of-neural-nets-is-more-complex-around-local-minima-2105.02831</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-layer-wise-l1-loss-landscape-of-neural-nets-is-more-complex-around-local-minima-2105.02831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-layer-wise-l1-loss-landscape-of-neural-nets-is-more-complex-around-local-minima-2105.02831"/></url>
<url><loc>https://scifaro.com/en/abs/pairwise-fairness-for-ordinal-regression-2105.03153</loc><lastmod>2022-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pairwise-fairness-for-ordinal-regression-2105.03153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pairwise-fairness-for-ordinal-regression-2105.03153"/></url>
<url><loc>https://scifaro.com/en/abs/use-of-high-dimensional-modeling-for-automatic-variables-selection-the-best-path-algorithm-2105.03173</loc><lastmod>2022-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/use-of-high-dimensional-modeling-for-automatic-variables-selection-the-best-path-algorithm-2105.03173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/use-of-high-dimensional-modeling-for-automatic-variables-selection-the-best-path-algorithm-2105.03173"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-priors-for-directed-acyclic-graphical-models-and-the-characterization-of-several-probability-distributions-2105.03248</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-priors-for-directed-acyclic-graphical-models-and-the-characterization-of-several-probability-distributions-2105.03248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-priors-for-directed-acyclic-graphical-models-and-the-characterization-of-several-probability-distributions-2105.03248"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-convergence-of-elliptical-slice-sampling-2105.03308</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-convergence-of-elliptical-slice-sampling-2105.03308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-convergence-of-elliptical-slice-sampling-2105.03308"/></url>
<url><loc>https://scifaro.com/en/abs/what-kinds-of-functions-do-deep-neural-networks-learn-insights-from-variational-spline-theory-2105.03361</loc><lastmod>2022-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-kinds-of-functions-do-deep-neural-networks-learn-insights-from-variational-spline-theory-2105.03361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-kinds-of-functions-do-deep-neural-networks-learn-insights-from-variational-spline-theory-2105.03361"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-two-sample-tests-for-manifold-data-2105.03425</loc><lastmod>2024-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-two-sample-tests-for-manifold-data-2105.03425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-two-sample-tests-for-manifold-data-2105.03425"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-latent-space-tuning-for-non-stationary-distributions-2105.03584</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-latent-space-tuning-for-non-stationary-distributions-2105.03584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-latent-space-tuning-for-non-stationary-distributions-2105.03584"/></url>
<url><loc>https://scifaro.com/en/abs/towards-theoretical-understandings-of-robust-markov-decision-processes-sample-complexity-and-asymptotics-2105.03863</loc><lastmod>2022-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-theoretical-understandings-of-robust-markov-decision-processes-sample-complexity-and-asymptotics-2105.03863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-theoretical-understandings-of-robust-markov-decision-processes-sample-complexity-and-asymptotics-2105.03863"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-kernelised-test-of-in-dependence-with-mixed-type-variables-2105.04001</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-kernelised-test-of-in-dependence-with-mixed-type-variables-2105.04001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-kernelised-test-of-in-dependence-with-mixed-type-variables-2105.04001"/></url>
<url><loc>https://scifaro.com/en/abs/a-likelihood-approach-to-nonparametric-estimation-of-a-singular-distribution-using-deep-generative-models-2105.04046</loc><lastmod>2023-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-likelihood-approach-to-nonparametric-estimation-of-a-singular-distribution-using-deep-generative-models-2105.04046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-likelihood-approach-to-nonparametric-estimation-of-a-singular-distribution-using-deep-generative-models-2105.04046"/></url>
<url><loc>https://scifaro.com/en/abs/latency-analysis-of-consortium-blockchained-federated-learning-2105.04087</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latency-analysis-of-consortium-blockchained-federated-learning-2105.04087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latency-analysis-of-consortium-blockchained-federated-learning-2105.04087"/></url>
<url><loc>https://scifaro.com/en/abs/siggpde-scaling-sparse-gaussian-processes-on-sequential-data-2105.04211</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/siggpde-scaling-sparse-gaussian-processes-on-sequential-data-2105.04211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/siggpde-scaling-sparse-gaussian-processes-on-sequential-data-2105.04211"/></url>
<url><loc>https://scifaro.com/en/abs/t-emde-sketching-based-global-similarity-for-cross-modal-retrieval-2105.04242</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/t-emde-sketching-based-global-similarity-for-cross-modal-retrieval-2105.04242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/t-emde-sketching-based-global-similarity-for-cross-modal-retrieval-2105.04242"/></url>
<url><loc>https://scifaro.com/en/abs/meta-cal-well-controlled-post-hoc-calibration-by-ranking-2105.04290</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-cal-well-controlled-post-hoc-calibration-by-ranking-2105.04290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-cal-well-controlled-post-hoc-calibration-by-ranking-2105.04290"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-based-bayesian-experimental-design-for-implicit-models-using-mutual-information-lower-bounds-2105.04379</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-based-bayesian-experimental-design-for-implicit-models-using-mutual-information-lower-bounds-2105.04379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-based-bayesian-experimental-design-for-implicit-models-using-mutual-information-lower-bounds-2105.04379"/></url>
<url><loc>https://scifaro.com/en/abs/topological-uncertainty-monitoring-trained-neural-networks-through-persistence-of-activation-graphs-2105.04404</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topological-uncertainty-monitoring-trained-neural-networks-through-persistence-of-activation-graphs-2105.04404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topological-uncertainty-monitoring-trained-neural-networks-through-persistence-of-activation-graphs-2105.04404"/></url>
<url><loc>https://scifaro.com/en/abs/scaffolding-simulations-with-deep-learning-for-high-dimensional-deconvolution-2105.04448</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaffolding-simulations-with-deep-learning-for-high-dimensional-deconvolution-2105.04448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaffolding-simulations-with-deep-learning-for-high-dimensional-deconvolution-2105.04448"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-networks-as-point-estimates-for-deep-gaussian-processes-2105.04504</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-networks-as-point-estimates-for-deep-gaussian-processes-2105.04504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-networks-as-point-estimates-for-deep-gaussian-processes-2105.04504"/></url>
<url><loc>https://scifaro.com/en/abs/deeply-debiased-off-policy-interval-estimation-2105.04646</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeply-debiased-off-policy-interval-estimation-2105.04646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeply-debiased-off-policy-interval-estimation-2105.04646"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-risk-based-learning-using-unbounded-losses-2105.04816</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-risk-based-learning-using-unbounded-losses-2105.04816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-risk-based-learning-using-unbounded-losses-2105.04816"/></url>
<url><loc>https://scifaro.com/en/abs/improving-molecular-graph-neural-network-explainability-with-orthonormalization-and-induced-sparsity-2105.04854</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-molecular-graph-neural-network-explainability-with-orthonormalization-and-induced-sparsity-2105.04854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-molecular-graph-neural-network-explainability-with-orthonormalization-and-induced-sparsity-2105.04854"/></url>
<url><loc>https://scifaro.com/en/abs/more-powerful-conditional-selective-inference-for-generalized-lasso-by-parametric-programming-2105.04920</loc><lastmod>2022-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/more-powerful-conditional-selective-inference-for-generalized-lasso-by-parametric-programming-2105.04920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/more-powerful-conditional-selective-inference-for-generalized-lasso-by-parametric-programming-2105.04920"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-assisted-active-subspace-and-active-subspace-assisted-surrogate-a-new-paradigm-for-high-dimensional-structural-reliability-analysis-2105.04979</loc><lastmod>2021-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-assisted-active-subspace-and-active-subspace-assisted-surrogate-a-new-paradigm-for-high-dimensional-structural-reliability-analysis-2105.04979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-assisted-active-subspace-and-active-subspace-assisted-surrogate-a-new-paradigm-for-high-dimensional-structural-reliability-analysis-2105.04979"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-flow-encoding-with-distance-optimization-adaptive-step-size-2105.05031</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-flow-encoding-with-distance-optimization-adaptive-step-size-2105.05031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-flow-encoding-with-distance-optimization-adaptive-step-size-2105.05031"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-one-hidden-layer-neural-networks-via-the-resolvent-method-2105.05115</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-one-hidden-layer-neural-networks-via-the-resolvent-method-2105.05115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-one-hidden-layer-neural-networks-via-the-resolvent-method-2105.05115"/></url>
<url><loc>https://scifaro.com/en/abs/a-twin-neural-model-for-uplift-2105.05146</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-twin-neural-model-for-uplift-2105.05146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-twin-neural-model-for-uplift-2105.05146"/></url>
<url><loc>https://scifaro.com/en/abs/multiscale-invertible-generative-networks-for-high-dimensional-bayesian-inference-2105.05489</loc><lastmod>2021-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiscale-invertible-generative-networks-for-high-dimensional-bayesian-inference-2105.05489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiscale-invertible-generative-networks-for-high-dimensional-bayesian-inference-2105.05489"/></url>
<url><loc>https://scifaro.com/en/abs/look-ahead-screening-rules-for-the-lasso-2105.05648</loc><lastmod>2024-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/look-ahead-screening-rules-for-the-lasso-2105.05648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/look-ahead-screening-rules-for-the-lasso-2105.05648"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-thinning-2105.05842</loc><lastmod>2024-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-thinning-2105.05842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-thinning-2105.05842"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-algorithms-for-estimating-the-parameters-of-mixed-linear-regression-models-2105.05953</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-algorithms-for-estimating-the-parameters-of-mixed-linear-regression-models-2105.05953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-algorithms-for-estimating-the-parameters-of-mixed-linear-regression-models-2105.05953"/></url>
<url><loc>https://scifaro.com/en/abs/joint-community-detection-and-rotational-synchronization-via-semidefinite-programming-2105.06031</loc><lastmod>2023-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-community-detection-and-rotational-synchronization-via-semidefinite-programming-2105.06031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-community-detection-and-rotational-synchronization-via-semidefinite-programming-2105.06031"/></url>
<url><loc>https://scifaro.com/en/abs/bias-fairness-and-accountability-with-ai-and-ml-algorithms-2105.06558</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bias-fairness-and-accountability-with-ai-and-ml-algorithms-2105.06558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bias-fairness-and-accountability-with-ai-and-ml-algorithms-2105.06558"/></url>
<url><loc>https://scifaro.com/en/abs/priors-in-bayesian-deep-learning-a-review-2105.06868</loc><lastmod>2022-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/priors-in-bayesian-deep-learning-a-review-2105.06868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/priors-in-bayesian-deep-learning-a-review-2105.06868"/></url>
<url><loc>https://scifaro.com/en/abs/posterior-regularization-on-bayesian-hierarchical-mixture-clustering-2105.06903</loc><lastmod>2023-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/posterior-regularization-on-bayesian-hierarchical-mixture-clustering-2105.06903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/posterior-regularization-on-bayesian-hierarchical-mixture-clustering-2105.06903"/></url>
<url><loc>https://scifaro.com/en/abs/adapting-deep-generative-approaches-for-getting-synthetic-data-with-realistic-marginal-distributions-2105.06907</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapting-deep-generative-approaches-for-getting-synthetic-data-with-realistic-marginal-distributions-2105.06907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapting-deep-generative-approaches-for-getting-synthetic-data-with-realistic-marginal-distributions-2105.06907"/></url>
<url><loc>https://scifaro.com/en/abs/bnnpriors-a-library-for-bayesian-neural-network-inference-with-different-prior-distributions-2105.06964</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bnnpriors-a-library-for-bayesian-neural-network-inference-with-different-prior-distributions-2105.06964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bnnpriors-a-library-for-bayesian-neural-network-inference-with-different-prior-distributions-2105.06964"/></url>
<url><loc>https://scifaro.com/en/abs/calibrating-sufficiently-2105.07283</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrating-sufficiently-2105.07283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrating-sufficiently-2105.07283"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-mechanical-analysis-of-catastrophic-forgetting-in-continual-learning-with-teacher-and-student-networks-2105.07385</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-mechanical-analysis-of-catastrophic-forgetting-in-continual-learning-with-teacher-and-student-networks-2105.07385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-mechanical-analysis-of-catastrophic-forgetting-in-continual-learning-with-teacher-and-student-networks-2105.07385"/></url>
<url><loc>https://scifaro.com/en/abs/sobolev-norm-learning-rates-for-conditional-mean-embeddings-2105.07446</loc><lastmod>2026-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sobolev-norm-learning-rates-for-conditional-mean-embeddings-2105.07446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sobolev-norm-learning-rates-for-conditional-mean-embeddings-2105.07446"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-foundations-of-t-sne-for-visualizing-high-dimensional-clustered-data-2105.07536</loc><lastmod>2022-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-foundations-of-t-sne-for-visualizing-high-dimensional-clustered-data-2105.07536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-foundations-of-t-sne-for-visualizing-high-dimensional-clustered-data-2105.07536"/></url>
<url><loc>https://scifaro.com/en/abs/cross-cluster-weighted-forests-2105.07610</loc><lastmod>2025-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-cluster-weighted-forests-2105.07610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-cluster-weighted-forests-2105.07610"/></url>
<url><loc>https://scifaro.com/en/abs/improving-graph-neural-networks-with-simple-architecture-design-2105.07634</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-graph-neural-networks-with-simple-architecture-design-2105.07634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-graph-neural-networks-with-simple-architecture-design-2105.07634"/></url>
<url><loc>https://scifaro.com/en/abs/classifying-variety-of-customer-s-online-engagement-for-churn-prediction-with-mixed-penalty-logistic-regression-2105.07671</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifying-variety-of-customer-s-online-engagement-for-churn-prediction-with-mixed-penalty-logistic-regression-2105.07671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifying-variety-of-customer-s-online-engagement-for-churn-prediction-with-mixed-penalty-logistic-regression-2105.07671"/></url>
<url><loc>https://scifaro.com/en/abs/on-convex-clustering-solutions-2105.08348</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-convex-clustering-solutions-2105.08348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-convex-clustering-solutions-2105.08348"/></url>
<url><loc>https://scifaro.com/en/abs/robust-learning-in-heterogeneous-contexts-2105.08532</loc><lastmod>2022-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-learning-in-heterogeneous-contexts-2105.08532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-learning-in-heterogeneous-contexts-2105.08532"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-examples-detection-with-bayesian-neural-network-2105.08620</loc><lastmod>2024-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-examples-detection-with-bayesian-neural-network-2105.08620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-examples-detection-with-bayesian-neural-network-2105.08620"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-modeling-of-higher-order-interactions-via-hypergraphons-2105.08678</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-modeling-of-higher-order-interactions-via-hypergraphons-2105.08678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-modeling-of-higher-order-interactions-via-hypergraphons-2105.08678"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-radial-basis-for-density-based-atomic-representations-2105.08717</loc><lastmod>2022-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-radial-basis-for-density-based-atomic-representations-2105.08717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-radial-basis-for-density-based-atomic-representations-2105.08717"/></url>
<url><loc>https://scifaro.com/en/abs/localization-convexity-and-star-aggregation-2105.08866</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/localization-convexity-and-star-aggregation-2105.08866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/localization-convexity-and-star-aggregation-2105.08866"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-optimality-and-computational-efficiency-of-nystr-om-kernel-pca-2105.08875</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-optimality-and-computational-efficiency-of-nystr-om-kernel-pca-2105.08875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-optimality-and-computational-efficiency-of-nystr-om-kernel-pca-2105.08875"/></url>
<url><loc>https://scifaro.com/en/abs/mill-jl-and-jsongrinder-jl-automated-differentiable-feature-extraction-for-learning-from-raw-json-data-2105.09107</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mill-jl-and-jsongrinder-jl-automated-differentiable-feature-extraction-for-learning-from-raw-json-data-2105.09107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mill-jl-and-jsongrinder-jl-automated-differentiable-feature-extraction-for-learning-from-raw-json-data-2105.09107"/></url>
<url><loc>https://scifaro.com/en/abs/from-parcel-to-continental-scale-a-first-european-crop-type-map-based-on-sentinel-1-and-lucas-copernicus-in-situ-observations-2105.09261</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-parcel-to-continental-scale-a-first-european-crop-type-map-based-on-sentinel-1-and-lucas-copernicus-in-situ-observations-2105.09261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-parcel-to-continental-scale-a-first-european-crop-type-map-based-on-sentinel-1-and-lucas-copernicus-in-situ-observations-2105.09261"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-alpha-lazy-version-of-markov-chains-in-estimation-and-testing-problems-2105.09536</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-alpha-lazy-version-of-markov-chains-in-estimation-and-testing-problems-2105.09536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-alpha-lazy-version-of-markov-chains-in-estimation-and-testing-problems-2105.09536"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-hawkes-process-with-gaussian-process-self-effects-2105.09618</loc><lastmod>2021-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-hawkes-process-with-gaussian-process-self-effects-2105.09618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-hawkes-process-with-gaussian-process-self-effects-2105.09618"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-machine-learning-approach-for-screening-of-coronary-heart-disease-based-on-echocardiography-and-risk-factors-2105.09670</loc><lastmod>2021-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-machine-learning-approach-for-screening-of-coronary-heart-disease-based-on-echocardiography-and-risk-factors-2105.09670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-machine-learning-approach-for-screening-of-coronary-heart-disease-based-on-echocardiography-and-risk-factors-2105.09670"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-adaptive-nearest-neighbor-classifier-algorithm-and-theory-2105.09788</loc><lastmod>2023-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-adaptive-nearest-neighbor-classifier-algorithm-and-theory-2105.09788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-adaptive-nearest-neighbor-classifier-algorithm-and-theory-2105.09788"/></url>
<url><loc>https://scifaro.com/en/abs/eiglasso-for-scalable-sparse-kronecker-sum-inverse-covariance-estimation-2105.09872</loc><lastmod>2021-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eiglasso-for-scalable-sparse-kronecker-sum-inverse-covariance-estimation-2105.09872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eiglasso-for-scalable-sparse-kronecker-sum-inverse-covariance-estimation-2105.09872"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-with-superexpressive-activations-and-integer-weights-2105.09917</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-with-superexpressive-activations-and-integer-weights-2105.09917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-with-superexpressive-activations-and-integer-weights-2105.09917"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-stein-discrepancy-descent-2105.09994</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-stein-discrepancy-descent-2105.09994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-stein-discrepancy-descent-2105.09994"/></url>
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<url><loc>https://scifaro.com/en/abs/quantifying-the-mini-batching-error-in-bayesian-inference-for-adaptive-langevin-dynamics-2105.10347</loc><lastmod>2023-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-the-mini-batching-error-in-bayesian-inference-for-adaptive-langevin-dynamics-2105.10347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-the-mini-batching-error-in-bayesian-inference-for-adaptive-langevin-dynamics-2105.10347"/></url>
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<url><loc>https://scifaro.com/en/abs/parallelizing-contextual-bandits-2105.10590</loc><lastmod>2023-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallelizing-contextual-bandits-2105.10590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallelizing-contextual-bandits-2105.10590"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-pruning-for-recurrent-neural-networks-2105.10832</loc><lastmod>2024-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-pruning-for-recurrent-neural-networks-2105.10832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-pruning-for-recurrent-neural-networks-2105.10832"/></url>
<url><loc>https://scifaro.com/en/abs/exon-explainable-encoder-network-2105.10867</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exon-explainable-encoder-network-2105.10867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exon-explainable-encoder-network-2105.10867"/></url>
<url><loc>https://scifaro.com/en/abs/goals-gradient-only-approximations-for-line-searches-towards-robust-and-consistent-training-of-deep-neural-networks-2105.10915</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/goals-gradient-only-approximations-for-line-searches-towards-robust-and-consistent-training-of-deep-neural-networks-2105.10915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/goals-gradient-only-approximations-for-line-searches-towards-robust-and-consistent-training-of-deep-neural-networks-2105.10915"/></url>
<url><loc>https://scifaro.com/en/abs/robust-learning-with-anytime-guaranteed-feedback-2105.11135</loc><lastmod>2023-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-learning-with-anytime-guaranteed-feedback-2105.11135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-learning-with-anytime-guaranteed-feedback-2105.11135"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-quantification-for-distributed-regression-2105.11425</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-quantification-for-distributed-regression-2105.11425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-quantification-for-distributed-regression-2105.11425"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-estimation-of-the-gradient-of-the-log-likelihood-for-a-class-of-continuous-time-state-space-models-2105.11522</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-estimation-of-the-gradient-of-the-log-likelihood-for-a-class-of-continuous-time-state-space-models-2105.11522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-estimation-of-the-gradient-of-the-log-likelihood-for-a-class-of-continuous-time-state-space-models-2105.11522"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-cross-validation-losses-for-gaussian-process-models-2105.11535</loc><lastmod>2022-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-cross-validation-losses-for-gaussian-process-models-2105.11535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-cross-validation-losses-for-gaussian-process-models-2105.11535"/></url>
<url><loc>https://scifaro.com/en/abs/shaff-fast-and-consistent-shapley-effect-estimates-via-random-forests-2105.11724</loc><lastmod>2022-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shaff-fast-and-consistent-shapley-effect-estimates-via-random-forests-2105.11724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shaff-fast-and-consistent-shapley-effect-estimates-via-random-forests-2105.11724"/></url>
<url><loc>https://scifaro.com/en/abs/bias-robust-bayesian-optimization-via-dueling-bandits-2105.11802</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bias-robust-bayesian-optimization-via-dueling-bandits-2105.11802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bias-robust-bayesian-optimization-via-dueling-bandits-2105.11802"/></url>
<url><loc>https://scifaro.com/en/abs/sgd-with-coordinate-sampling-theory-and-practice-2105.11818</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sgd-with-coordinate-sampling-theory-and-practice-2105.11818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sgd-with-coordinate-sampling-theory-and-practice-2105.11818"/></url>
<url><loc>https://scifaro.com/en/abs/tnet-a-model-constrained-tikhonov-network-approach-for-inverse-problems-2105.12033</loc><lastmod>2022-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tnet-a-model-constrained-tikhonov-network-approach-for-inverse-problems-2105.12033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tnet-a-model-constrained-tikhonov-network-approach-for-inverse-problems-2105.12033"/></url>
<url><loc>https://scifaro.com/en/abs/rank-one-matrix-estimation-analytic-time-evolution-of-gradient-descent-dynamics-2105.12257</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rank-one-matrix-estimation-analytic-time-evolution-of-gradient-descent-dynamics-2105.12257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rank-one-matrix-estimation-analytic-time-evolution-of-gradient-descent-dynamics-2105.12257"/></url>
<url><loc>https://scifaro.com/en/abs/sg-palm-a-fast-physically-interpretable-tensor-graphical-model-2105.12271</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sg-palm-a-fast-physically-interpretable-tensor-graphical-model-2105.12271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sg-palm-a-fast-physically-interpretable-tensor-graphical-model-2105.12271"/></url>
<url><loc>https://scifaro.com/en/abs/block-dense-weighted-networks-with-augmented-degree-correction-2105.12290</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/block-dense-weighted-networks-with-augmented-degree-correction-2105.12290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/block-dense-weighted-networks-with-augmented-degree-correction-2105.12290"/></url>
<url><loc>https://scifaro.com/en/abs/the-given-data-paradigm-undermines-both-cultures-2105.12478</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-given-data-paradigm-undermines-both-cultures-2105.12478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-given-data-paradigm-undermines-both-cultures-2105.12478"/></url>
<url><loc>https://scifaro.com/en/abs/augmented-krnet-for-density-estimation-and-approximation-2105.12866</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmented-krnet-for-density-estimation-and-approximation-2105.12866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmented-krnet-for-density-estimation-and-approximation-2105.12866"/></url>
<url><loc>https://scifaro.com/en/abs/magi-x-manifold-constrained-gaussian-process-inference-for-unknown-system-dynamics-2105.12894</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/magi-x-manifold-constrained-gaussian-process-inference-for-unknown-system-dynamics-2105.12894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/magi-x-manifold-constrained-gaussian-process-inference-for-unknown-system-dynamics-2105.12894"/></url>
<url><loc>https://scifaro.com/en/abs/crystalcandle-a-user-facing-model-explainer-for-narrative-explanations-2105.12941</loc><lastmod>2022-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crystalcandle-a-user-facing-model-explainer-for-narrative-explanations-2105.12941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crystalcandle-a-user-facing-model-explainer-for-narrative-explanations-2105.12941"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-training-using-ell-1-regularization-and-bi-fidelity-data-2105.13011</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-training-using-ell-1-regularization-and-bi-fidelity-data-2105.13011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-training-using-ell-1-regularization-and-bi-fidelity-data-2105.13011"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-universality-of-graph-neural-networks-on-large-random-graphs-2105.13099</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-universality-of-graph-neural-networks-on-large-random-graphs-2105.13099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-universality-of-graph-neural-networks-on-large-random-graphs-2105.13099"/></url>
<url><loc>https://scifaro.com/en/abs/model-selection-for-production-system-via-automated-online-experiments-2105.13420</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-selection-for-production-system-via-automated-online-experiments-2105.13420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-selection-for-production-system-via-automated-online-experiments-2105.13420"/></url>
<url><loc>https://scifaro.com/en/abs/non-negative-matrix-factorization-algorithms-generally-improve-topic-model-fits-2105.13440</loc><lastmod>2026-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-negative-matrix-factorization-algorithms-generally-improve-topic-model-fits-2105.13440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-negative-matrix-factorization-algorithms-generally-improve-topic-model-fits-2105.13440"/></url>
<url><loc>https://scifaro.com/en/abs/slow-momentum-with-fast-reversion-a-trading-strategy-using-deep-learning-and-changepoint-detection-2105.13727</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/slow-momentum-with-fast-reversion-a-trading-strategy-using-deep-learning-and-changepoint-detection-2105.13727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/slow-momentum-with-fast-reversion-a-trading-strategy-using-deep-learning-and-changepoint-detection-2105.13727"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-regularization-in-matrix-sensing-via-mirror-descent-2105.13831</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-regularization-in-matrix-sensing-via-mirror-descent-2105.13831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-regularization-in-matrix-sensing-via-mirror-descent-2105.13831"/></url>
<url><loc>https://scifaro.com/en/abs/prsl-interpretable-multi-label-stacking-by-learning-probabilistic-rules-2105.13850</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prsl-interpretable-multi-label-stacking-by-learning-probabilistic-rules-2105.13850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prsl-interpretable-multi-label-stacking-by-learning-probabilistic-rules-2105.13850"/></url>
<url><loc>https://scifaro.com/en/abs/discretization-drift-in-two-player-games-2105.13922</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discretization-drift-in-two-player-games-2105.13922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discretization-drift-in-two-player-games-2105.13922"/></url>
<url><loc>https://scifaro.com/en/abs/deepmom-robust-deep-learning-with-median-of-means-2105.14035</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepmom-robust-deep-learning-with-median-of-means-2105.14035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepmom-robust-deep-learning-with-median-of-means-2105.14035"/></url>
<url><loc>https://scifaro.com/en/abs/information-directed-sampling-for-sparse-linear-bandits-2105.14267</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-directed-sampling-for-sparse-linear-bandits-2105.14267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-directed-sampling-for-sparse-linear-bandits-2105.14267"/></url>
<url><loc>https://scifaro.com/en/abs/a-theory-of-neural-tangent-kernel-alignment-and-its-influence-on-training-2105.14301</loc><lastmod>2022-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theory-of-neural-tangent-kernel-alignment-and-its-influence-on-training-2105.14301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theory-of-neural-tangent-kernel-alignment-and-its-influence-on-training-2105.14301"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-under-high-dimensional-generalized-linear-models-2105.14328</loc><lastmod>2022-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-under-high-dimensional-generalized-linear-models-2105.14328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-under-high-dimensional-generalized-linear-models-2105.14328"/></url>
<url><loc>https://scifaro.com/en/abs/fit-without-fear-remarkable-mathematical-phenomena-of-deep-learning-through-the-prism-of-interpolation-2105.14368</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fit-without-fear-remarkable-mathematical-phenomena-of-deep-learning-through-the-prism-of-interpolation-2105.14368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fit-without-fear-remarkable-mathematical-phenomena-of-deep-learning-through-the-prism-of-interpolation-2105.14368"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-estimation-for-the-seir-model-using-recurrent-nets-2105.14524</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-estimation-for-the-seir-model-using-recurrent-nets-2105.14524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-estimation-for-the-seir-model-using-recurrent-nets-2105.14524"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-marked-point-processes-for-exchangeable-and-non-exchangeable-event-sequences-2105.14574</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-marked-point-processes-for-exchangeable-and-non-exchangeable-event-sequences-2105.14574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-marked-point-processes-for-exchangeable-and-non-exchangeable-event-sequences-2105.14574"/></url>
<url><loc>https://scifaro.com/en/abs/kolmogorov-smirnov-test-based-actively-adaptive-thompson-sampling-for-non-stationary-bandits-2105.14586</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kolmogorov-smirnov-test-based-actively-adaptive-thompson-sampling-for-non-stationary-bandits-2105.14586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kolmogorov-smirnov-test-based-actively-adaptive-thompson-sampling-for-non-stationary-bandits-2105.14586"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-uncertainty-representation-in-deep-learning-with-inducing-weights-2105.14594</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-uncertainty-representation-in-deep-learning-with-inducing-weights-2105.14594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-uncertainty-representation-in-deep-learning-with-inducing-weights-2105.14594"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-of-continuous-time-bayesian-networks-through-interventions-2105.14742</loc><lastmod>2022-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-of-continuous-time-bayesian-networks-through-interventions-2105.14742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-of-continuous-time-bayesian-networks-through-interventions-2105.14742"/></url>
<url><loc>https://scifaro.com/en/abs/variational-autoencoders-a-harmonic-perspective-2105.14866</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-autoencoders-a-harmonic-perspective-2105.14866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-autoencoders-a-harmonic-perspective-2105.14866"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-beyond-linear-prediction-functions-2105.14989</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-beyond-linear-prediction-functions-2105.14989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-beyond-linear-prediction-functions-2105.14989"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-error-rates-in-kernel-regression-the-crossover-from-the-noiseless-to-noisy-regime-2105.15004</loc><lastmod>2022-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-error-rates-in-kernel-regression-the-crossover-from-the-noiseless-to-noisy-regime-2105.15004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-error-rates-in-kernel-regression-the-crossover-from-the-noiseless-to-noisy-regime-2105.15004"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-and-general-debiased-machine-learning-theorem-with-finite-sample-guarantees-2105.15197</loc><lastmod>2022-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-and-general-debiased-machine-learning-theorem-with-finite-sample-guarantees-2105.15197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-and-general-debiased-machine-learning-theorem-with-finite-sample-guarantees-2105.15197"/></url>
<url><loc>https://scifaro.com/en/abs/early-detection-of-covid-19-hotspots-using-spatio-temporal-data-2106.00072</loc><lastmod>2022-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-detection-of-covid-19-hotspots-using-spatio-temporal-data-2106.00072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-detection-of-covid-19-hotspots-using-spatio-temporal-data-2106.00072"/></url>
<url><loc>https://scifaro.com/en/abs/variational-combinatorial-sequential-monte-carlo-methods-for-bayesian-phylogenetic-inference-2106.00075</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-combinatorial-sequential-monte-carlo-methods-for-bayesian-phylogenetic-inference-2106.00075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-combinatorial-sequential-monte-carlo-methods-for-bayesian-phylogenetic-inference-2106.00075"/></url>
<url><loc>https://scifaro.com/en/abs/what-s-a-good-imputation-to-predict-with-missing-values-2106.00311</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-s-a-good-imputation-to-predict-with-missing-values-2106.00311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-s-a-good-imputation-to-predict-with-missing-values-2106.00311"/></url>
<url><loc>https://scifaro.com/en/abs/post-contextual-bandit-inference-2106.00418</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/post-contextual-bandit-inference-2106.00418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/post-contextual-bandit-inference-2106.00418"/></url>
<url><loc>https://scifaro.com/en/abs/transformation-models-for-flexible-posteriors-in-variational-bayes-2106.00528</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformation-models-for-flexible-posteriors-in-variational-bayes-2106.00528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformation-models-for-flexible-posteriors-in-variational-bayes-2106.00528"/></url>
<url><loc>https://scifaro.com/en/abs/marl-with-general-utilities-via-decentralized-shadow-reward-actor-critic-2106.00543</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marl-with-general-utilities-via-decentralized-shadow-reward-actor-critic-2106.00543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marl-with-general-utilities-via-decentralized-shadow-reward-actor-critic-2106.00543"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-functionals-on-the-space-of-probabilities-with-input-convex-neural-networks-2106.00774</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-functionals-on-the-space-of-probabilities-with-input-convex-neural-networks-2106.00774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-functionals-on-the-space-of-probabilities-with-input-convex-neural-networks-2106.00774"/></url>
<url><loc>https://scifaro.com/en/abs/latent-space-refinement-for-deep-generative-models-2106.00792</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-space-refinement-for-deep-generative-models-2106.00792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-space-refinement-for-deep-generative-models-2106.00792"/></url>
<url><loc>https://scifaro.com/en/abs/robustifying-algorithms-of-learning-latent-trees-with-vector-variables-2106.00885</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustifying-algorithms-of-learning-latent-trees-with-vector-variables-2106.00885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustifying-algorithms-of-learning-latent-trees-with-vector-variables-2106.00885"/></url>
<url><loc>https://scifaro.com/en/abs/testing-group-fairness-via-optimal-transport-projections-2106.01070</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-group-fairness-via-optimal-transport-projections-2106.01070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-group-fairness-via-optimal-transport-projections-2106.01070"/></url>
<url><loc>https://scifaro.com/en/abs/connections-and-equivalences-between-the-nystr-om-method-and-sparse-variational-gaussian-processes-2106.01121</loc><lastmod>2023-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/connections-and-equivalences-between-the-nystr-om-method-and-sparse-variational-gaussian-processes-2106.01121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/connections-and-equivalences-between-the-nystr-om-method-and-sparse-variational-gaussian-processes-2106.01121"/></url>
<url><loc>https://scifaro.com/en/abs/framing-rnn-as-a-kernel-method-a-neural-ode-approach-2106.01202</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/framing-rnn-as-a-kernel-method-a-neural-ode-approach-2106.01202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/framing-rnn-as-a-kernel-method-a-neural-ode-approach-2106.01202"/></url>
<url><loc>https://scifaro.com/en/abs/tight-high-probability-bounds-for-linear-stochastic-approximation-with-fixed-stepsize-2106.01257</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-high-probability-bounds-for-linear-stochastic-approximation-with-fixed-stepsize-2106.01257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-high-probability-bounds-for-linear-stochastic-approximation-with-fixed-stepsize-2106.01257"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-factorisation-and-the-interpretation-of-geodesic-distance-2106.01260</loc><lastmod>2022-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-factorisation-and-the-interpretation-of-geodesic-distance-2106.01260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-factorisation-and-the-interpretation-of-geodesic-distance-2106.01260"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-embedding-for-dynamic-networks-with-stability-guarantees-2106.01282</loc><lastmod>2022-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-embedding-for-dynamic-networks-with-stability-guarantees-2106.01282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-embedding-for-dynamic-networks-with-stability-guarantees-2106.01282"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-schr-odinger-bridge-with-applications-to-score-based-generative-modeling-2106.01357</loc><lastmod>2023-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-schr-odinger-bridge-with-applications-to-score-based-generative-modeling-2106.01357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-schr-odinger-bridge-with-applications-to-score-based-generative-modeling-2106.01357"/></url>
<url><loc>https://scifaro.com/en/abs/rectangular-flows-for-manifold-learning-2106.01413</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rectangular-flows-for-manifold-learning-2106.01413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rectangular-flows-for-manifold-learning-2106.01413"/></url>
<url><loc>https://scifaro.com/en/abs/smooth-bilevel-programming-for-sparse-regularization-2106.01429</loc><lastmod>2022-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smooth-bilevel-programming-for-sparse-regularization-2106.01429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smooth-bilevel-programming-for-sparse-regularization-2106.01429"/></url>
<url><loc>https://scifaro.com/en/abs/testing-directed-acyclic-graph-via-structural-supervised-and-generative-adversarial-learning-2106.01474</loc><lastmod>2023-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-directed-acyclic-graph-via-structural-supervised-and-generative-adversarial-learning-2106.01474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-directed-acyclic-graph-via-structural-supervised-and-generative-adversarial-learning-2106.01474"/></url>
<url><loc>https://scifaro.com/en/abs/weakly-supervised-learning-creates-a-fusion-of-modeling-cultures-2106.01485</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weakly-supervised-learning-creates-a-fusion-of-modeling-cultures-2106.01485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weakly-supervised-learning-creates-a-fusion-of-modeling-cultures-2106.01485"/></url>
<url><loc>https://scifaro.com/en/abs/normalizing-flows-for-knockoff-free-controlled-feature-selection-2106.01528</loc><lastmod>2022-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normalizing-flows-for-knockoff-free-controlled-feature-selection-2106.01528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normalizing-flows-for-knockoff-free-controlled-feature-selection-2106.01528"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-phase-retrieval-2106.01660</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-phase-retrieval-2106.01660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-phase-retrieval-2106.01660"/></url>
<url><loc>https://scifaro.com/en/abs/risk-minimization-from-adaptively-collected-data-guarantees-for-supervised-and-policy-learning-2106.01723</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-minimization-from-adaptively-collected-data-guarantees-for-supervised-and-policy-learning-2106.01723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-minimization-from-adaptively-collected-data-guarantees-for-supervised-and-policy-learning-2106.01723"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-embedding-beyond-principal-components-2106.01858</loc><lastmod>2022-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-embedding-beyond-principal-components-2106.01858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-embedding-beyond-principal-components-2106.01858"/></url>
<url><loc>https://scifaro.com/en/abs/sample-selection-bias-in-evaluation-of-prediction-performance-of-causal-models-2106.01921</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-selection-bias-in-evaluation-of-prediction-performance-of-causal-models-2106.01921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-selection-bias-in-evaluation-of-prediction-performance-of-causal-models-2106.01921"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-processes-on-hypergraphs-2106.01982</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-processes-on-hypergraphs-2106.01982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-processes-on-hypergraphs-2106.01982"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-boosted-binary-histogram-ensemble-for-large-scale-regression-2106.01986</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-boosted-binary-histogram-ensemble-for-large-scale-regression-2106.01986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-boosted-binary-histogram-ensemble-for-large-scale-regression-2106.01986"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-evaluation-via-adaptive-weighting-with-data-from-contextual-bandits-2106.02029</loc><lastmod>2025-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-evaluation-via-adaptive-weighting-with-data-from-contextual-bandits-2106.02029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-evaluation-via-adaptive-weighting-with-data-from-contextual-bandits-2106.02029"/></url>
<url><loc>https://scifaro.com/en/abs/improving-neural-network-robustness-via-persistency-of-excitation-2106.02078</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-neural-network-robustness-via-persistency-of-excitation-2106.02078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-neural-network-robustness-via-persistency-of-excitation-2106.02078"/></url>
<url><loc>https://scifaro.com/en/abs/solving-schr-odinger-bridges-via-maximum-likelihood-2106.02081</loc><lastmod>2022-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-schr-odinger-bridges-via-maximum-likelihood-2106.02081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-schr-odinger-bridges-via-maximum-likelihood-2106.02081"/></url>
<url><loc>https://scifaro.com/en/abs/shape-preserving-dimensionality-reduction-an-algorithm-and-measures-of-topological-equivalence-2106.02096</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shape-preserving-dimensionality-reduction-an-algorithm-and-measures-of-topological-equivalence-2106.02096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shape-preserving-dimensionality-reduction-an-algorithm-and-measures-of-topological-equivalence-2106.02096"/></url>
<url><loc>https://scifaro.com/en/abs/laplacian-based-dimensionality-reduction-including-spectral-clustering-laplacian-eigenmap-locality-preserving-projection-graph-embedding-and-diffusion-map-tutorial-and-survey-2106.02154</loc><lastmod>2022-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/laplacian-based-dimensionality-reduction-including-spectral-clustering-laplacian-eigenmap-locality-preserving-projection-graph-embedding-and-diffusion-map-tutorial-and-survey-2106.02154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/laplacian-based-dimensionality-reduction-including-spectral-clustering-laplacian-eigenmap-locality-preserving-projection-graph-embedding-and-diffusion-map-tutorial-and-survey-2106.02154"/></url>
<url><loc>https://scifaro.com/en/abs/out-of-distribution-generalization-in-kernel-regression-2106.02261</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/out-of-distribution-generalization-in-kernel-regression-2106.02261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/out-of-distribution-generalization-in-kernel-regression-2106.02261"/></url>
<url><loc>https://scifaro.com/en/abs/provably-strict-generalisation-benefit-for-invariance-in-kernel-methods-2106.02346</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-strict-generalisation-benefit-for-invariance-in-kernel-methods-2106.02346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-strict-generalisation-benefit-for-invariance-in-kernel-methods-2106.02346"/></url>
<url><loc>https://scifaro.com/en/abs/pca-initialization-for-approximate-message-passing-in-rotationally-invariant-models-2106.02356</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pca-initialization-for-approximate-message-passing-in-rotationally-invariant-models-2106.02356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pca-initialization-for-approximate-message-passing-in-rotationally-invariant-models-2106.02356"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-the-gap-between-target-networks-and-functional-regularization-2106.02613</loc><lastmod>2023-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-the-gap-between-target-networks-and-functional-regularization-2106.02613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-the-gap-between-target-networks-and-functional-regularization-2106.02613"/></url>
<url><loc>https://scifaro.com/en/abs/fundamental-tradeoffs-between-memorization-and-robustness-in-random-features-and-neural-tangent-regimes-2106.02630</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fundamental-tradeoffs-between-memorization-and-robustness-in-random-features-and-neural-tangent-regimes-2106.02630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fundamental-tradeoffs-between-memorization-and-robustness-in-random-features-and-neural-tangent-regimes-2106.02630"/></url>
<url><loc>https://scifaro.com/en/abs/learning-curves-for-sgd-on-structured-features-2106.02713</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-curves-for-sgd-on-structured-features-2106.02713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-curves-for-sgd-on-structured-features-2106.02713"/></url>
<url><loc>https://scifaro.com/en/abs/learning-particle-swarming-models-from-data-with-gaussian-processes-2106.02735</loc><lastmod>2023-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-particle-swarming-models-from-data-with-gaussian-processes-2106.02735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-particle-swarming-models-from-data-with-gaussian-processes-2106.02735"/></url>
<url><loc>https://scifaro.com/en/abs/learning-treatment-effects-in-panels-with-general-intervention-patterns-2106.02780</loc><lastmod>2023-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-treatment-effects-in-panels-with-general-intervention-patterns-2106.02780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-treatment-effects-in-panels-with-general-intervention-patterns-2106.02780"/></url>
<url><loc>https://scifaro.com/en/abs/network-estimation-by-mixing-adaptivity-and-more-2106.02803</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-estimation-by-mixing-adaptivity-and-more-2106.02803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-estimation-by-mixing-adaptivity-and-more-2106.02803"/></url>
<url><loc>https://scifaro.com/en/abs/navigating-to-the-best-policy-in-markov-decision-processes-2106.02847</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/navigating-to-the-best-policy-in-markov-decision-processes-2106.02847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/navigating-to-the-best-policy-in-markov-decision-processes-2106.02847"/></url>
<url><loc>https://scifaro.com/en/abs/robust-stochastic-linear-contextual-bandits-under-adversarial-attacks-2106.02978</loc><lastmod>2023-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-stochastic-linear-contextual-bandits-under-adversarial-attacks-2106.02978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-stochastic-linear-contextual-bandits-under-adversarial-attacks-2106.02978"/></url>
<url><loc>https://scifaro.com/en/abs/syndicated-bandits-a-framework-for-auto-tuning-hyper-parameters-in-contextual-bandit-algorithms-2106.02979</loc><lastmod>2022-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/syndicated-bandits-a-framework-for-auto-tuning-hyper-parameters-in-contextual-bandit-algorithms-2106.02979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/syndicated-bandits-a-framework-for-auto-tuning-hyper-parameters-in-contextual-bandit-algorithms-2106.02979"/></url>
<url><loc>https://scifaro.com/en/abs/causal-bandits-with-unknown-graph-structure-2106.02988</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-bandits-with-unknown-graph-structure-2106.02988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-bandits-with-unknown-graph-structure-2106.02988"/></url>
<url><loc>https://scifaro.com/en/abs/truthful-self-play-2106.03007</loc><lastmod>2023-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/truthful-self-play-2106.03007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/truthful-self-play-2106.03007"/></url>
<url><loc>https://scifaro.com/en/abs/deep-particulate-matter-forecasting-model-using-correntropy-induced-loss-2106.03032</loc><lastmod>2021-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-particulate-matter-forecasting-model-using-correntropy-induced-loss-2106.03032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-particulate-matter-forecasting-model-using-correntropy-induced-loss-2106.03032"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-in-resnet-with-stochastic-depth-2106.03091</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-in-resnet-with-stochastic-depth-2106.03091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-in-resnet-with-stochastic-depth-2106.03091"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-robust-online-inference-with-stochastic-gradient-descent-via-random-scaling-2106.03156</loc><lastmod>2022-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-robust-online-inference-with-stochastic-gradient-descent-via-random-scaling-2106.03156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-robust-online-inference-with-stochastic-gradient-descent-via-random-scaling-2106.03156"/></url>
<url><loc>https://scifaro.com/en/abs/towards-an-understanding-of-benign-overfitting-in-neural-networks-2106.03212</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-an-understanding-of-benign-overfitting-in-neural-networks-2106.03212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-an-understanding-of-benign-overfitting-in-neural-networks-2106.03212"/></url>
<url><loc>https://scifaro.com/en/abs/neural-tangent-kernel-maximum-mean-discrepancy-2106.03227</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-tangent-kernel-maximum-mean-discrepancy-2106.03227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-tangent-kernel-maximum-mean-discrepancy-2106.03227"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-state-of-the-art-classification-models-against-bayes-optimality-2106.03357</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-state-of-the-art-classification-models-against-bayes-optimality-2106.03357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-state-of-the-art-classification-models-against-bayes-optimality-2106.03357"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-linear-bandits-with-local-differential-privacy-2106.03365</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-linear-bandits-with-local-differential-privacy-2106.03365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-linear-bandits-with-local-differential-privacy-2106.03365"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-evaluate-uncertainty-estimates-in-machine-learning-for-regression-2106.03395</loc><lastmod>2024-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-evaluate-uncertainty-estimates-in-machine-learning-for-regression-2106.03395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-evaluate-uncertainty-estimates-in-machine-learning-for-regression-2106.03395"/></url>
<url><loc>https://scifaro.com/en/abs/bayesimp-uncertainty-quantification-for-causal-data-fusion-2106.03477</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesimp-uncertainty-quantification-for-causal-data-fusion-2106.03477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesimp-uncertainty-quantification-for-causal-data-fusion-2106.03477"/></url>
<url><loc>https://scifaro.com/en/abs/a-distance-covariance-based-kernel-for-nonlinear-causal-clustering-in-heterogeneous-populations-2106.03480</loc><lastmod>2022-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distance-covariance-based-kernel-for-nonlinear-causal-clustering-in-heterogeneous-populations-2106.03480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distance-covariance-based-kernel-for-nonlinear-causal-clustering-in-heterogeneous-populations-2106.03480"/></url>
<url><loc>https://scifaro.com/en/abs/redundant-representations-help-generalization-in-wide-neural-networks-2106.03485</loc><lastmod>2023-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/redundant-representations-help-generalization-in-wide-neural-networks-2106.03485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/redundant-representations-help-generalization-in-wide-neural-networks-2106.03485"/></url>
<url><loc>https://scifaro.com/en/abs/how-tight-can-pac-bayes-be-in-the-small-data-regime-2106.03542</loc><lastmod>2022-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-tight-can-pac-bayes-be-in-the-small-data-regime-2106.03542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-tight-can-pac-bayes-be-in-the-small-data-regime-2106.03542"/></url>
<url><loc>https://scifaro.com/en/abs/calibrating-multi-dimensional-complex-ode-from-noisy-data-via-deep-neural-networks-2106.03591</loc><lastmod>2023-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrating-multi-dimensional-complex-ode-from-noisy-data-via-deep-neural-networks-2106.03591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrating-multi-dimensional-complex-ode-from-noisy-data-via-deep-neural-networks-2106.03591"/></url>
<url><loc>https://scifaro.com/en/abs/can-a-single-neuron-learn-predictive-uncertainty-2106.03702</loc><lastmod>2023-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-a-single-neuron-learn-predictive-uncertainty-2106.03702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-a-single-neuron-learn-predictive-uncertainty-2106.03702"/></url>
<url><loc>https://scifaro.com/en/abs/frustratingly-easy-uncertainty-estimation-for-distribution-shift-2106.03762</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frustratingly-easy-uncertainty-estimation-for-distribution-shift-2106.03762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frustratingly-easy-uncertainty-estimation-for-distribution-shift-2106.03762"/></url>
<url><loc>https://scifaro.com/en/abs/on-inductive-biases-for-heterogeneous-treatment-effect-estimation-2106.03765</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-inductive-biases-for-heterogeneous-treatment-effect-estimation-2106.03765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-inductive-biases-for-heterogeneous-treatment-effect-estimation-2106.03765"/></url>
<url><loc>https://scifaro.com/en/abs/learning-gaussian-mixtures-with-generalised-linear-models-precise-asymptotics-in-high-dimensions-2106.03791</loc><lastmod>2023-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-gaussian-mixtures-with-generalised-linear-models-precise-asymptotics-in-high-dimensions-2106.03791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-gaussian-mixtures-with-generalised-linear-models-precise-asymptotics-in-high-dimensions-2106.03791"/></url>
<url><loc>https://scifaro.com/en/abs/heavy-tails-in-sgd-and-compressibility-of-overparametrized-neural-networks-2106.03795</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heavy-tails-in-sgd-and-compressibility-of-overparametrized-neural-networks-2106.03795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heavy-tails-in-sgd-and-compressibility-of-overparametrized-neural-networks-2106.03795"/></url>
<url><loc>https://scifaro.com/en/abs/accurate-shapley-values-for-explaining-tree-based-models-2106.03820</loc><lastmod>2023-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accurate-shapley-values-for-explaining-tree-based-models-2106.03820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accurate-shapley-values-for-explaining-tree-based-models-2106.03820"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-probabilistic-regression-with-natural-gradient-boosting-2106.03823</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-probabilistic-regression-with-natural-gradient-boosting-2106.03823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-probabilistic-regression-with-natural-gradient-boosting-2106.03823"/></url>
<url><loc>https://scifaro.com/en/abs/batch-normalization-orthogonalizes-representations-in-deep-random-networks-2106.03970</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-normalization-orthogonalizes-representations-in-deep-random-networks-2106.03970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-normalization-orthogonalizes-representations-in-deep-random-networks-2106.03970"/></url>
<url><loc>https://scifaro.com/en/abs/the-future-is-log-gaussian-resnets-and-their-infinite-depth-and-width-limit-at-initialization-2106.04013</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-future-is-log-gaussian-resnets-and-their-infinite-depth-and-width-limit-at-initialization-2106.04013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-future-is-log-gaussian-resnets-and-their-infinite-depth-and-width-limit-at-initialization-2106.04013"/></url>
<url><loc>https://scifaro.com/en/abs/intrinsic-dimension-estimation-using-wasserstein-distances-2106.04018</loc><lastmod>2022-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrinsic-dimension-estimation-using-wasserstein-distances-2106.04018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrinsic-dimension-estimation-using-wasserstein-distances-2106.04018"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-conditional-deep-inverse-rosenblatt-transports-using-tensor-trains-and-gradient-based-dimension-reduction-2106.04170</loc><lastmod>2023-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-conditional-deep-inverse-rosenblatt-transports-using-tensor-trains-and-gradient-based-dimension-reduction-2106.04170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-conditional-deep-inverse-rosenblatt-transports-using-tensor-trains-and-gradient-based-dimension-reduction-2106.04170"/></url>
<url><loc>https://scifaro.com/en/abs/targeted-active-learning-for-bayesian-decision-making-2106.04193</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/targeted-active-learning-for-bayesian-decision-making-2106.04193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/targeted-active-learning-for-bayesian-decision-making-2106.04193"/></url>
<url><loc>https://scifaro.com/en/abs/seismic-inverse-modeling-method-based-on-generative-adversarial-network-2106.04197</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seismic-inverse-modeling-method-based-on-generative-adversarial-network-2106.04197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seismic-inverse-modeling-method-based-on-generative-adversarial-network-2106.04197"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-learning-in-online-queuing-systems-2106.04228</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-learning-in-online-queuing-systems-2106.04228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-learning-in-online-queuing-systems-2106.04228"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-sparse-subspace-representation-a-unified-framework-for-subspace-clustering-constrained-clustering-and-active-learning-2106.04330</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-sparse-subspace-representation-a-unified-framework-for-subspace-clustering-constrained-clustering-and-active-learning-2106.04330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-sparse-subspace-representation-a-unified-framework-for-subspace-clustering-constrained-clustering-and-active-learning-2106.04330"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-transfer-learning-2106.04455</loc><lastmod>2021-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-transfer-learning-2106.04455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-transfer-learning-2106.04455"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-learning-with-data-augmentations-provably-isolates-content-from-style-2106.04619</loc><lastmod>2022-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-learning-with-data-augmentations-provably-isolates-content-from-style-2106.04619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-learning-with-data-augmentations-provably-isolates-content-from-style-2106.04619"/></url>
<url><loc>https://scifaro.com/en/abs/marginalizable-density-models-2106.04741</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marginalizable-density-models-2106.04741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marginalizable-density-models-2106.04741"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-belief-propagation-for-community-detection-2106.04805</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-belief-propagation-for-community-detection-2106.04805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-belief-propagation-for-community-detection-2106.04805"/></url>
<url><loc>https://scifaro.com/en/abs/fractal-structure-and-generalization-properties-of-stochastic-optimization-algorithms-2106.04881</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fractal-structure-and-generalization-properties-of-stochastic-optimization-algorithms-2106.04881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fractal-structure-and-generalization-properties-of-stochastic-optimization-algorithms-2106.04881"/></url>
<url><loc>https://scifaro.com/en/abs/fully-differentiable-model-discovery-2106.04886</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-differentiable-model-discovery-2106.04886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-differentiable-model-discovery-2106.04886"/></url>
<url><loc>https://scifaro.com/en/abs/learning-domain-invariant-representations-by-joint-wasserstein-distance-minimization-2106.04923</loc><lastmod>2023-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-domain-invariant-representations-by-joint-wasserstein-distance-minimization-2106.04923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-domain-invariant-representations-by-joint-wasserstein-distance-minimization-2106.04923"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-more-powerful-selective-inference-for-sparse-high-order-interaction-model-2106.04929</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-more-powerful-selective-inference-for-sparse-high-order-interaction-model-2106.04929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-more-powerful-selective-inference-for-sparse-high-order-interaction-model-2106.04929"/></url>
<url><loc>https://scifaro.com/en/abs/loss-function-based-second-order-jensen-inequality-and-its-application-to-particle-variational-inference-2106.05010</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loss-function-based-second-order-jensen-inequality-and-its-application-to-particle-variational-inference-2106.05010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loss-function-based-second-order-jensen-inequality-and-its-application-to-particle-variational-inference-2106.05010"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-mixture-estimation-from-weighted-samples-2106.05109</loc><lastmod>2025-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-mixture-estimation-from-weighted-samples-2106.05109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-mixture-estimation-from-weighted-samples-2106.05109"/></url>
<url><loc>https://scifaro.com/en/abs/dper-efficient-parameter-estimation-for-randomly-missing-data-2106.05190</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dper-efficient-parameter-estimation-for-randomly-missing-data-2106.05190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dper-efficient-parameter-estimation-for-randomly-missing-data-2106.05190"/></url>
<url><loc>https://scifaro.com/en/abs/digrac-digraph-clustering-based-on-flow-imbalance-2106.05194</loc><lastmod>2022-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/digrac-digraph-clustering-based-on-flow-imbalance-2106.05194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/digrac-digraph-clustering-based-on-flow-imbalance-2106.05194"/></url>
<url><loc>https://scifaro.com/en/abs/independent-mechanism-analysis-a-new-concept-2106.05200</loc><lastmod>2022-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/independent-mechanism-analysis-a-new-concept-2106.05200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/independent-mechanism-analysis-a-new-concept-2106.05200"/></url>
<url><loc>https://scifaro.com/en/abs/multi-facet-clustering-variational-autoencoders-2106.05241</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-facet-clustering-variational-autoencoders-2106.05241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-facet-clustering-variational-autoencoders-2106.05241"/></url>
<url><loc>https://scifaro.com/en/abs/tractable-density-estimation-on-learned-manifolds-with-conformal-embedding-flows-2106.05275</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tractable-density-estimation-on-learned-manifolds-with-conformal-embedding-flows-2106.05275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tractable-density-estimation-on-learned-manifolds-with-conformal-embedding-flows-2106.05275"/></url>
<url><loc>https://scifaro.com/en/abs/from-inexact-optimization-to-learning-via-gradient-concentration-2106.05397</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-inexact-optimization-to-learning-via-gradient-concentration-2106.05397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-inexact-optimization-to-learning-via-gradient-concentration-2106.05397"/></url>
<url><loc>https://scifaro.com/en/abs/an-interpretable-neural-network-for-parameter-inference-2106.05536</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-interpretable-neural-network-for-parameter-inference-2106.05536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-interpretable-neural-network-for-parameter-inference-2106.05536"/></url>
<url><loc>https://scifaro.com/en/abs/identifiability-of-interaction-kernels-in-mean-field-equations-of-interacting-particles-2106.05565</loc><lastmod>2023-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifiability-of-interaction-kernels-in-mean-field-equations-of-interacting-particles-2106.05565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifiability-of-interaction-kernels-in-mean-field-equations-of-interacting-particles-2106.05565"/></url>
<url><loc>https://scifaro.com/en/abs/learning-nonparametric-volterra-kernels-with-gaussian-processes-2106.05582</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-nonparametric-volterra-kernels-with-gaussian-processes-2106.05582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-nonparametric-volterra-kernels-with-gaussian-processes-2106.05582"/></url>
<url><loc>https://scifaro.com/en/abs/data-augmentation-in-bayesian-neural-networks-and-the-cold-posterior-effect-2106.05586</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-augmentation-in-bayesian-neural-networks-and-the-cold-posterior-effect-2106.05586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-augmentation-in-bayesian-neural-networks-and-the-cold-posterior-effect-2106.05586"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-cot-gan-for-video-prediction-with-kernel-smoothing-2106.05658</loc><lastmod>2022-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-cot-gan-for-video-prediction-with-kernel-smoothing-2106.05658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-cot-gan-for-video-prediction-with-kernel-smoothing-2106.05658"/></url>
<url><loc>https://scifaro.com/en/abs/dnn-based-topology-optimisation-spatial-invariance-and-neural-tangent-kernel-2106.05710</loc><lastmod>2025-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dnn-based-topology-optimisation-spatial-invariance-and-neural-tangent-kernel-2106.05710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dnn-based-topology-optimisation-spatial-invariance-and-neural-tangent-kernel-2106.05710"/></url>
<url><loc>https://scifaro.com/en/abs/gbht-gradient-boosting-histogram-transform-for-density-estimation-2106.05738</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gbht-gradient-boosting-histogram-transform-for-density-estimation-2106.05738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gbht-gradient-boosting-histogram-transform-for-density-estimation-2106.05738"/></url>
<url><loc>https://scifaro.com/en/abs/separation-results-between-fixed-kernel-and-feature-learning-probability-metrics-2106.05739</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/separation-results-between-fixed-kernel-and-feature-learning-probability-metrics-2106.05739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/separation-results-between-fixed-kernel-and-feature-learning-probability-metrics-2106.05739"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-for-symbolic-hyperparameter-defaults-2106.05767</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-for-symbolic-hyperparameter-defaults-2106.05767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-for-symbolic-hyperparameter-defaults-2106.05767"/></url>
<url><loc>https://scifaro.com/en/abs/linear-classifiers-under-infinite-imbalance-2106.05797</loc><lastmod>2023-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-classifiers-under-infinite-imbalance-2106.05797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-classifiers-under-infinite-imbalance-2106.05797"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-optimal-transport-map-estimation-using-projection-pursuit-2106.05838</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-optimal-transport-map-estimation-using-projection-pursuit-2106.05838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-optimal-transport-map-estimation-using-projection-pursuit-2106.05838"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-completion-with-model-free-weighting-2106.05850</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-completion-with-model-free-weighting-2106.05850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-completion-with-model-free-weighting-2106.05850"/></url>
<url><loc>https://scifaro.com/en/abs/score-based-generative-modeling-in-latent-space-2106.05931</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/score-based-generative-modeling-in-latent-space-2106.05931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/score-based-generative-modeling-in-latent-space-2106.05931"/></url>
<url><loc>https://scifaro.com/en/abs/support-recovery-of-sparse-signals-from-a-mixture-of-linear-measurements-2106.05951</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/support-recovery-of-sparse-signals-from-a-mixture-of-linear-measurements-2106.05951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/support-recovery-of-sparse-signals-from-a-mixture-of-linear-measurements-2106.05951"/></url>
<url><loc>https://scifaro.com/en/abs/compositional-modeling-of-nonlinear-dynamical-systems-with-ode-based-random-features-2106.05960</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compositional-modeling-of-nonlinear-dynamical-systems-with-ode-based-random-features-2106.05960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compositional-modeling-of-nonlinear-dynamical-systems-with-ode-based-random-features-2106.05960"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-and-alignment-of-gradient-descent-with-random-backpropagation-weights-2106.06044</loc><lastmod>2021-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-and-alignment-of-gradient-descent-with-random-backpropagation-weights-2106.06044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-and-alignment-of-gradient-descent-with-random-backpropagation-weights-2106.06044"/></url>
<url><loc>https://scifaro.com/en/abs/rnn-with-particle-flow-for-probabilistic-spatio-temporal-forecasting-2106.06064</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rnn-with-particle-flow-for-probabilistic-spatio-temporal-forecasting-2106.06064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rnn-with-particle-flow-for-probabilistic-spatio-temporal-forecasting-2106.06064"/></url>
<url><loc>https://scifaro.com/en/abs/neural-optimization-kernel-towards-robust-deep-learning-2106.06097</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-optimization-kernel-towards-robust-deep-learning-2106.06097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-optimization-kernel-towards-robust-deep-learning-2106.06097"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-for-constructing-nonconvex-regularizations-2106.06123</loc><lastmod>2022-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-for-constructing-nonconvex-regularizations-2106.06123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-for-constructing-nonconvex-regularizations-2106.06123"/></url>
<url><loc>https://scifaro.com/en/abs/order-matters-probabilistic-modeling-of-node-sequence-for-graph-generation-2106.06189</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/order-matters-probabilistic-modeling-of-node-sequence-for-graph-generation-2106.06189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/order-matters-probabilistic-modeling-of-node-sequence-for-graph-generation-2106.06189"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-anomaly-detection-ensembles-using-item-response-theory-2106.06243</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-anomaly-detection-ensembles-using-item-response-theory-2106.06243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-anomaly-detection-ensembles-using-item-response-theory-2106.06243"/></url>
<url><loc>https://scifaro.com/en/abs/model-selection-for-bayesian-autoencoders-2106.06245</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-selection-for-bayesian-autoencoders-2106.06245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-selection-for-bayesian-autoencoders-2106.06245"/></url>
<url><loc>https://scifaro.com/en/abs/on-learnability-via-gradient-method-for-two-layer-relu-neural-networks-in-teacher-student-setting-2106.06251</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-learnability-via-gradient-method-for-two-layer-relu-neural-networks-in-teacher-student-setting-2106.06251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-learnability-via-gradient-method-for-two-layer-relu-neural-networks-in-teacher-student-setting-2106.06251"/></url>
<url><loc>https://scifaro.com/en/abs/model-free-learning-for-two-player-zero-sum-partially-observable-markov-games-with-perfect-recall-2106.06279</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-free-learning-for-two-player-zero-sum-partially-observable-markov-games-with-perfect-recall-2106.06279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-free-learning-for-two-player-zero-sum-partially-observable-markov-games-with-perfect-recall-2106.06279"/></url>
<url><loc>https://scifaro.com/en/abs/priorgrad-improving-conditional-denoising-diffusion-models-with-data-dependent-adaptive-prior-2106.06406</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/priorgrad-improving-conditional-denoising-diffusion-models-with-data-dependent-adaptive-prior-2106.06406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/priorgrad-improving-conditional-denoising-diffusion-models-with-data-dependent-adaptive-prior-2106.06406"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-herded-gibbs-sampling-2106.06430</loc><lastmod>2022-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-herded-gibbs-sampling-2106.06430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-herded-gibbs-sampling-2106.06430"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-the-robustness-of-gaussian-processes-to-kernel-choice-2106.06510</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-the-robustness-of-gaussian-processes-to-kernel-choice-2106.06510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-the-robustness-of-gaussian-processes-to-kernel-choice-2106.06510"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-optimal-tikhonov-regularizer-for-inverse-problems-2106.06513</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-optimal-tikhonov-regularizer-for-inverse-problems-2106.06513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-optimal-tikhonov-regularizer-for-inverse-problems-2106.06513"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-deflation-process-in-over-parametrized-tensor-decomposition-2106.06573</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-deflation-process-in-over-parametrized-tensor-decomposition-2106.06573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-deflation-process-in-over-parametrized-tensor-decomposition-2106.06573"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-non-central-beta-matrix-factorization-for-dna-methylation-data-2106.06691</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-non-central-beta-matrix-factorization-for-dna-methylation-data-2106.06691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-non-central-beta-matrix-factorization-for-dna-methylation-data-2106.06691"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-metric-learning-in-multi-view-data-a-downstream-task-perspective-2106.07138</loc><lastmod>2022-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-metric-learning-in-multi-view-data-a-downstream-task-perspective-2106.07138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-metric-learning-in-multi-view-data-a-downstream-task-perspective-2106.07138"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-sample-complexity-of-learning-under-invariance-and-geometric-stability-2106.07148</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-learning-under-invariance-and-geometric-stability-2106.07148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-learning-under-invariance-and-geometric-stability-2106.07148"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-variance-reduction-in-online-experiments-2106.07263</loc><lastmod>2022-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-variance-reduction-in-online-experiments-2106.07263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-variance-reduction-in-online-experiments-2106.07263"/></url>
<url><loc>https://scifaro.com/en/abs/marginalising-over-stationary-kernels-with-bayesian-quadrature-2106.07452</loc><lastmod>2023-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marginalising-over-stationary-kernels-with-bayesian-quadrature-2106.07452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marginalising-over-stationary-kernels-with-bayesian-quadrature-2106.07452"/></url>
<url><loc>https://scifaro.com/en/abs/last-layer-marginal-likelihood-for-invariance-learning-2106.07512</loc><lastmod>2022-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/last-layer-marginal-likelihood-for-invariance-learning-2106.07512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/last-layer-marginal-likelihood-for-invariance-learning-2106.07512"/></url>
<url><loc>https://scifaro.com/en/abs/a-wasserstein-minimax-framework-for-mixed-linear-regression-2106.07537</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-wasserstein-minimax-framework-for-mixed-linear-regression-2106.07537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-wasserstein-minimax-framework-for-mixed-linear-regression-2106.07537"/></url>
<url><loc>https://scifaro.com/en/abs/meta-two-sample-testing-learning-kernels-for-testing-with-limited-data-2106.07636</loc><lastmod>2022-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-two-sample-testing-learning-kernels-for-testing-with-limited-data-2106.07636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-two-sample-testing-learning-kernels-for-testing-with-limited-data-2106.07636"/></url>
<url><loc>https://scifaro.com/en/abs/linear-time-probabilistic-solutions-of-boundary-value-problems-2106.07761</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-time-probabilistic-solutions-of-boundary-value-problems-2106.07761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-time-probabilistic-solutions-of-boundary-value-problems-2106.07761"/></url>
<url><loc>https://scifaro.com/en/abs/s-lime-stabilized-lime-for-model-explanation-2106.07875</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/s-lime-stabilized-lime-for-model-explanation-2106.07875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/s-lime-stabilized-lime-for-model-explanation-2106.07875"/></url>
<url><loc>https://scifaro.com/en/abs/divergence-frontiers-for-generative-models-sample-complexity-quantization-effects-and-frontier-integrals-2106.07898</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/divergence-frontiers-for-generative-models-sample-complexity-quantization-effects-and-frontier-integrals-2106.07898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/divergence-frontiers-for-generative-models-sample-complexity-quantization-effects-and-frontier-integrals-2106.07898"/></url>
<url><loc>https://scifaro.com/en/abs/decomposition-of-global-feature-importance-into-direct-and-associative-components-dedact-2106.08086</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decomposition-of-global-feature-importance-into-direct-and-associative-components-dedact-2106.08086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decomposition-of-global-feature-importance-into-direct-and-associative-components-dedact-2106.08086"/></url>
<url><loc>https://scifaro.com/en/abs/employing-an-adjusted-stability-measure-for-multi-criteria-model-fitting-on-data-sets-with-similar-features-2106.08105</loc><lastmod>2022-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/employing-an-adjusted-stability-measure-for-multi-criteria-model-fitting-on-data-sets-with-similar-features-2106.08105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/employing-an-adjusted-stability-measure-for-multi-criteria-model-fitting-on-data-sets-with-similar-features-2106.08105"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-mixture-of-posteriors-for-counterfactual-inference-data-integration-and-fairness-2106.08161</loc><lastmod>2022-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-mixture-of-posteriors-for-counterfactual-inference-data-integration-and-fairness-2106.08161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-mixture-of-posteriors-for-counterfactual-inference-data-integration-and-fairness-2106.08161"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-identification-through-transformers-2106.08185</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-identification-through-transformers-2106.08185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-identification-through-transformers-2106.08185"/></url>
<url><loc>https://scifaro.com/en/abs/rfpredinterval-an-r-package-for-prediction-intervals-with-random-forests-and-boosted-forests-2106.08217</loc><lastmod>2022-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rfpredinterval-an-r-package-for-prediction-intervals-with-random-forests-and-boosted-forests-2106.08217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rfpredinterval-an-r-package-for-prediction-intervals-with-random-forests-and-boosted-forests-2106.08217"/></url>
<url><loc>https://scifaro.com/en/abs/canonical-correlation-based-fast-feature-selection-for-structural-health-monitoring-2106.08247</loc><lastmod>2024-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/canonical-correlation-based-fast-feature-selection-for-structural-health-monitoring-2106.08247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/canonical-correlation-based-fast-feature-selection-for-structural-health-monitoring-2106.08247"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-learning-with-kernel-dependence-maximization-2106.08320</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-learning-with-kernel-dependence-maximization-2106.08320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-learning-with-kernel-dependence-maximization-2106.08320"/></url>
<url><loc>https://scifaro.com/en/abs/reproducing-kernel-hilbert-space-mercer-s-theorem-eigenfunctions-nystr-om-method-and-use-of-kernels-in-machine-learning-tutorial-and-survey-2106.08443</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reproducing-kernel-hilbert-space-mercer-s-theorem-eigenfunctions-nystr-om-method-and-use-of-kernels-in-machine-learning-tutorial-and-survey-2106.08443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reproducing-kernel-hilbert-space-mercer-s-theorem-eigenfunctions-nystr-om-method-and-use-of-kernels-in-machine-learning-tutorial-and-survey-2106.08443"/></url>
<url><loc>https://scifaro.com/en/abs/breaking-the-dimension-dependence-in-sparse-distribution-estimation-under-communication-constraints-2106.08597</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breaking-the-dimension-dependence-in-sparse-distribution-estimation-under-communication-constraints-2106.08597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breaking-the-dimension-dependence-in-sparse-distribution-estimation-under-communication-constraints-2106.08597"/></url>
<url><loc>https://scifaro.com/en/abs/locality-defeats-the-curse-of-dimensionality-in-convolutional-teacher-student-scenarios-2106.08619</loc><lastmod>2022-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locality-defeats-the-curse-of-dimensionality-in-convolutional-teacher-student-scenarios-2106.08619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locality-defeats-the-curse-of-dimensionality-in-convolutional-teacher-student-scenarios-2106.08619"/></url>
<url><loc>https://scifaro.com/en/abs/directed-graph-embeddings-in-pseudo-riemannian-manifolds-2106.08678</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/directed-graph-embeddings-in-pseudo-riemannian-manifolds-2106.08678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/directed-graph-embeddings-in-pseudo-riemannian-manifolds-2106.08678"/></url>
<url><loc>https://scifaro.com/en/abs/quasi-bayesian-dual-instrumental-variable-regression-2106.08750</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quasi-bayesian-dual-instrumental-variable-regression-2106.08750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quasi-bayesian-dual-instrumental-variable-regression-2106.08750"/></url>
<url><loc>https://scifaro.com/en/abs/silhouettes-and-quasi-residual-plots-for-neural-nets-and-tree-based-classifiers-2106.08814</loc><lastmod>2024-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/silhouettes-and-quasi-residual-plots-for-neural-nets-and-tree-based-classifiers-2106.08814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/silhouettes-and-quasi-residual-plots-for-neural-nets-and-tree-based-classifiers-2106.08814"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-clustering-and-personalization-in-multi-agent-stochastic-linear-bandits-2106.08902</loc><lastmod>2022-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-clustering-and-personalization-in-multi-agent-stochastic-linear-bandits-2106.08902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-clustering-and-personalization-in-multi-agent-stochastic-linear-bandits-2106.08902"/></url>
<url><loc>https://scifaro.com/en/abs/kale-flow-a-relaxed-kl-gradient-flow-for-probabilities-with-disjoint-support-2106.08929</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kale-flow-a-relaxed-kl-gradient-flow-for-probabilities-with-disjoint-support-2106.08929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kale-flow-a-relaxed-kl-gradient-flow-for-probabilities-with-disjoint-support-2106.08929"/></url>
<url><loc>https://scifaro.com/en/abs/mshap-shap-values-for-two-part-models-2106.08990</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mshap-shap-values-for-two-part-models-2106.08990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mshap-shap-values-for-two-part-models-2106.08990"/></url>
<url><loc>https://scifaro.com/en/abs/optimum-statistical-collaboration-towards-general-and-efficient-black-box-optimization-2106.09215</loc><lastmod>2023-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimum-statistical-collaboration-towards-general-and-efficient-black-box-optimization-2106.09215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimum-statistical-collaboration-towards-general-and-efficient-black-box-optimization-2106.09215"/></url>
<url><loc>https://scifaro.com/en/abs/localized-uncertainty-attacks-2106.09222</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/localized-uncertainty-attacks-2106.09222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/localized-uncertainty-attacks-2106.09222"/></url>
<url><loc>https://scifaro.com/en/abs/uniform-convergence-of-interpolators-gaussian-width-norm-bounds-and-benign-overfitting-2106.09276</loc><lastmod>2022-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uniform-convergence-of-interpolators-gaussian-width-norm-bounds-and-benign-overfitting-2106.09276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uniform-convergence-of-interpolators-gaussian-width-norm-bounds-and-benign-overfitting-2106.09276"/></url>
<url><loc>https://scifaro.com/en/abs/importance-measures-derived-from-random-forests-characterisation-and-extension-2106.09473</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-measures-derived-from-random-forests-characterisation-and-extension-2106.09473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-measures-derived-from-random-forests-characterisation-and-extension-2106.09473"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-methods-for-postprocessing-ensemble-forecasts-of-wind-gusts-a-systematic-comparison-2106.09512</loc><lastmod>2022-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-methods-for-postprocessing-ensemble-forecasts-of-wind-gusts-a-systematic-comparison-2106.09512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-methods-for-postprocessing-ensemble-forecasts-of-wind-gusts-a-systematic-comparison-2106.09512"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-reinforcement-learning-approach-towards-pendulum-swing-up-problem-based-on-tf-agents-2106.09556</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-reinforcement-learning-approach-towards-pendulum-swing-up-problem-based-on-tf-agents-2106.09556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-reinforcement-learning-approach-towards-pendulum-swing-up-problem-based-on-tf-agents-2106.09556"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-identifiable-features-from-noisy-data-with-structured-nonlinear-ica-2106.09620</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-identifiable-features-from-noisy-data-with-structured-nonlinear-ica-2106.09620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-identifiable-features-from-noisy-data-with-structured-nonlinear-ica-2106.09620"/></url>
<url><loc>https://scifaro.com/en/abs/wide-stochastic-networks-gaussian-limit-and-pac-bayesian-training-2106.09798</loc><lastmod>2023-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wide-stochastic-networks-gaussian-limit-and-pac-bayesian-training-2106.09798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wide-stochastic-networks-gaussian-limit-and-pac-bayesian-training-2106.09798"/></url>
<url><loc>https://scifaro.com/en/abs/on-contrastive-representations-of-stochastic-processes-2106.10052</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-contrastive-representations-of-stochastic-processes-2106.10052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-contrastive-representations-of-stochastic-processes-2106.10052"/></url>
<url><loc>https://scifaro.com/en/abs/fitting-summary-statistics-of-neural-data-with-a-differentiable-spiking-network-simulator-2106.10064</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fitting-summary-statistics-of-neural-data-with-a-differentiable-spiking-network-simulator-2106.10064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fitting-summary-statistics-of-neural-data-with-a-differentiable-spiking-network-simulator-2106.10064"/></url>
<url><loc>https://scifaro.com/en/abs/problem-dependent-view-on-structured-thresholding-bandit-problems-2106.10166</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/problem-dependent-view-on-structured-thresholding-bandit-problems-2106.10166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/problem-dependent-view-on-structured-thresholding-bandit-problems-2106.10166"/></url>
<url><loc>https://scifaro.com/en/abs/an-analysis-of-the-deployment-of-models-trained-on-private-tabular-synthetic-data-unexpected-surprises-2106.10241</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-analysis-of-the-deployment-of-models-trained-on-private-tabular-synthetic-data-unexpected-surprises-2106.10241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-analysis-of-the-deployment-of-models-trained-on-private-tabular-synthetic-data-unexpected-surprises-2106.10241"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-particle-filtering-without-modifying-the-forward-pass-2106.10314</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-particle-filtering-without-modifying-the-forward-pass-2106.10314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-particle-filtering-without-modifying-the-forward-pass-2106.10314"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-benefits-of-maximum-likelihood-estimation-for-regression-and-forecasting-2106.10370</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-benefits-of-maximum-likelihood-estimation-for-regression-and-forecasting-2106.10370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-benefits-of-maximum-likelihood-estimation-for-regression-and-forecasting-2106.10370"/></url>
<url><loc>https://scifaro.com/en/abs/uncertain-decisions-facilitate-better-preference-learning-2106.10394</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertain-decisions-facilitate-better-preference-learning-2106.10394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertain-decisions-facilitate-better-preference-learning-2106.10394"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-functional-data-analysis-with-adaptive-basis-layers-2106.10414</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-functional-data-analysis-with-adaptive-basis-layers-2106.10414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-functional-data-analysis-with-adaptive-basis-layers-2106.10414"/></url>
<url><loc>https://scifaro.com/en/abs/rayleigh-gauss-newton-optimization-with-enhanced-sampling-for-variational-monte-carlo-2106.10558</loc><lastmod>2023-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rayleigh-gauss-newton-optimization-with-enhanced-sampling-for-variational-monte-carlo-2106.10558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rayleigh-gauss-newton-optimization-with-enhanced-sampling-for-variational-monte-carlo-2106.10558"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-characteristic-tensor-density-estimation-part-ii-compression-and-latent-density-estimation-2106.10591</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-characteristic-tensor-density-estimation-part-ii-compression-and-latent-density-estimation-2106.10591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-characteristic-tensor-density-estimation-part-ii-compression-and-latent-density-estimation-2106.10591"/></url>
<url><loc>https://scifaro.com/en/abs/outlier-detection-and-spatial-analysis-algorithms-2106.10669</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outlier-detection-and-spatial-analysis-algorithms-2106.10669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outlier-detection-and-spatial-analysis-algorithms-2106.10669"/></url>
<url><loc>https://scifaro.com/en/abs/benign-overfitting-in-multiclass-classification-all-roads-lead-to-interpolation-2106.10865</loc><lastmod>2023-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benign-overfitting-in-multiclass-classification-all-roads-lead-to-interpolation-2106.10865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benign-overfitting-in-multiclass-classification-all-roads-lead-to-interpolation-2106.10865"/></url>
<url><loc>https://scifaro.com/en/abs/spliced-binned-pareto-distribution-for-robust-modeling-of-heavy-tailed-time-series-2106.10952</loc><lastmod>2022-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spliced-binned-pareto-distribution-for-robust-modeling-of-heavy-tailed-time-series-2106.10952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spliced-binned-pareto-distribution-for-robust-modeling-of-heavy-tailed-time-series-2106.10952"/></url>
<url><loc>https://scifaro.com/en/abs/alpha-stable-convergence-of-heavy-tailed-infinitely-wide-neural-networks-2106.11064</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alpha-stable-convergence-of-heavy-tailed-infinitely-wide-neural-networks-2106.11064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alpha-stable-convergence-of-heavy-tailed-infinitely-wide-neural-networks-2106.11064"/></url>
<url><loc>https://scifaro.com/en/abs/affine-invariant-integrated-rank-weighted-depth-definition-properties-and-finite-sample-analysis-2106.11068</loc><lastmod>2022-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/affine-invariant-integrated-rank-weighted-depth-definition-properties-and-finite-sample-analysis-2106.11068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/affine-invariant-integrated-rank-weighted-depth-definition-properties-and-finite-sample-analysis-2106.11068"/></url>
<url><loc>https://scifaro.com/en/abs/stratified-learning-a-general-purpose-statistical-method-for-improved-learning-under-covariate-shift-2106.11211</loc><lastmod>2025-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stratified-learning-a-general-purpose-statistical-method-for-improved-learning-under-covariate-shift-2106.11211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stratified-learning-a-general-purpose-statistical-method-for-improved-learning-under-covariate-shift-2106.11211"/></url>
<url><loc>https://scifaro.com/en/abs/nested-variational-inference-2106.11302</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nested-variational-inference-2106.11302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nested-variational-inference-2106.11302"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-recourse-in-partially-and-fully-confounded-settings-through-bounding-counterfactual-effects-2106.11849</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-recourse-in-partially-and-fully-confounded-settings-through-bounding-counterfactual-effects-2106.11849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-recourse-in-partially-and-fully-confounded-settings-through-bounding-counterfactual-effects-2106.11849"/></url>
<url><loc>https://scifaro.com/en/abs/credal-self-supervised-learning-2106.11853</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/credal-self-supervised-learning-2106.11853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/credal-self-supervised-learning-2106.11853"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-based-variational-data-assimilation-for-tidal-modelling-2106.11926</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-based-variational-data-assimilation-for-tidal-modelling-2106.11926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-based-variational-data-assimilation-for-tidal-modelling-2106.11926"/></url>
<url><loc>https://scifaro.com/en/abs/sparsistent-model-discovery-2106.11936</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsistent-model-discovery-2106.11936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsistent-model-discovery-2106.11936"/></url>
<url><loc>https://scifaro.com/en/abs/fundamental-limits-for-rank-one-matrix-estimation-with-groupwise-heteroskedasticity-2106.11950</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fundamental-limits-for-rank-one-matrix-estimation-with-groupwise-heteroskedasticity-2106.11950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fundamental-limits-for-rank-one-matrix-estimation-with-groupwise-heteroskedasticity-2106.11950"/></url>
<url><loc>https://scifaro.com/en/abs/pure-exploration-in-kernel-and-neural-bandits-2106.12034</loc><lastmod>2022-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pure-exploration-in-kernel-and-neural-bandits-2106.12034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pure-exploration-in-kernel-and-neural-bandits-2106.12034"/></url>
<url><loc>https://scifaro.com/en/abs/closed-form-provable-and-robust-pca-via-leverage-statistics-and-innovation-search-2106.12190</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/closed-form-provable-and-robust-pca-via-leverage-statistics-and-innovation-search-2106.12190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/closed-form-provable-and-robust-pca-via-leverage-statistics-and-innovation-search-2106.12190"/></url>
<url><loc>https://scifaro.com/en/abs/groupshapley-efficient-prediction-explanation-with-shapley-values-for-feature-groups-2106.12228</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/groupshapley-efficient-prediction-explanation-with-shapley-values-for-feature-groups-2106.12228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/groupshapley-efficient-prediction-explanation-with-shapley-values-for-feature-groups-2106.12228"/></url>
<url><loc>https://scifaro.com/en/abs/park-sound-and-efficient-kernel-ridge-regression-by-feature-space-partitions-2106.12231</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/park-sound-and-efficient-kernel-ridge-regression-by-feature-space-partitions-2106.12231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/park-sound-and-efficient-kernel-ridge-regression-by-feature-space-partitions-2106.12231"/></url>
<url><loc>https://scifaro.com/en/abs/calibrating-the-lee-carter-and-the-poisson-lee-carter-models-via-neural-networks-2106.12312</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrating-the-lee-carter-and-the-poisson-lee-carter-models-via-neural-networks-2106.12312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrating-the-lee-carter-and-the-poisson-lee-carter-models-via-neural-networks-2106.12312"/></url>
<url><loc>https://scifaro.com/en/abs/innovations-autoencoder-and-its-application-in-one-class-anomalous-sequence-detection-2106.12382</loc><lastmod>2024-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/innovations-autoencoder-and-its-application-in-one-class-anomalous-sequence-detection-2106.12382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/innovations-autoencoder-and-its-application-in-one-class-anomalous-sequence-detection-2106.12382"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-with-mirrored-stein-operators-2106.12506</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-with-mirrored-stein-operators-2106.12506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-with-mirrored-stein-operators-2106.12506"/></url>
<url><loc>https://scifaro.com/en/abs/multi-objective-asynchronous-successive-halving-2106.12639</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-objective-asynchronous-successive-halving-2106.12639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-objective-asynchronous-successive-halving-2106.12639"/></url>
<url><loc>https://scifaro.com/en/abs/label-disentanglement-in-partition-based-extreme-multilabel-classification-2106.12751</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-disentanglement-in-partition-based-extreme-multilabel-classification-2106.12751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-disentanglement-in-partition-based-extreme-multilabel-classification-2106.12751"/></url>
<url><loc>https://scifaro.com/en/abs/fundamental-limits-for-learning-hidden-markov-model-parameters-2106.12936</loc><lastmod>2022-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fundamental-limits-for-learning-hidden-markov-model-parameters-2106.12936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fundamental-limits-for-learning-hidden-markov-model-parameters-2106.12936"/></url>
<url><loc>https://scifaro.com/en/abs/quantization-aware-training-ernie-and-kurtosis-regularizer-a-short-empirical-study-2106.13035</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantization-aware-training-ernie-and-kurtosis-regularizer-a-short-empirical-study-2106.13035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantization-aware-training-ernie-and-kurtosis-regularizer-a-short-empirical-study-2106.13035"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-uncertainty-in-bayesian-deep-learning-2106.13055</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-uncertainty-in-bayesian-deep-learning-2106.13055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-uncertainty-in-bayesian-deep-learning-2106.13055"/></url>
<url><loc>https://scifaro.com/en/abs/mixbn-library-for-learning-bayesian-networks-from-mixed-data-2106.13194</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixbn-library-for-learning-bayesian-networks-from-mixed-data-2106.13194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixbn-library-for-learning-bayesian-networks-from-mixed-data-2106.13194"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-hereditary-cancers-using-neural-networks-2106.13682</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-hereditary-cancers-using-neural-networks-2106.13682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-hereditary-cancers-using-neural-networks-2106.13682"/></url>
<url><loc>https://scifaro.com/en/abs/on-incorporating-inductive-biases-into-vaes-2106.13746</loc><lastmod>2022-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-incorporating-inductive-biases-into-vaes-2106.13746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-incorporating-inductive-biases-into-vaes-2106.13746"/></url>
<url><loc>https://scifaro.com/en/abs/tighter-analysis-of-alternating-stochastic-gradient-method-for-stochastic-nested-problems-2106.13781</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tighter-analysis-of-alternating-stochastic-gradient-method-for-stochastic-nested-problems-2106.13781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tighter-analysis-of-alternating-stochastic-gradient-method-for-stochastic-nested-problems-2106.13781"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-with-multifidelity-modeling-for-efficient-rare-event-simulation-2106.13790</loc><lastmod>2022-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-with-multifidelity-modeling-for-efficient-rare-event-simulation-2106.13790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-with-multifidelity-modeling-for-efficient-rare-event-simulation-2106.13790"/></url>
<url><loc>https://scifaro.com/en/abs/functional-classwise-principal-component-analysis-a-novel-classification-framework-2106.13959</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-classwise-principal-component-analysis-a-novel-classification-framework-2106.13959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-classwise-principal-component-analysis-a-novel-classification-framework-2106.13959"/></url>
<url><loc>https://scifaro.com/en/abs/score-based-change-detection-for-gradient-based-learning-machines-2106.14122</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/score-based-change-detection-for-gradient-based-learning-machines-2106.14122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/score-based-change-detection-for-gradient-based-learning-machines-2106.14122"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-network-representation-learning-with-principal-component-analysis-2106.14238</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-network-representation-learning-with-principal-component-analysis-2106.14238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-network-representation-learning-with-principal-component-analysis-2106.14238"/></url>
<url><loc>https://scifaro.com/en/abs/use-of-variational-inference-in-music-emotion-recognition-2106.14323</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/use-of-variational-inference-in-music-emotion-recognition-2106.14323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/use-of-variational-inference-in-music-emotion-recognition-2106.14323"/></url>
<url><loc>https://scifaro.com/en/abs/instance-optimality-in-optimal-value-estimation-adaptivity-via-variance-reduced-q-learning-2106.14352</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instance-optimality-in-optimal-value-estimation-adaptivity-via-variance-reduced-q-learning-2106.14352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instance-optimality-in-optimal-value-estimation-adaptivity-via-variance-reduced-q-learning-2106.14352"/></url>
<url><loc>https://scifaro.com/en/abs/variance-reduction-for-matrix-computations-with-applications-to-gaussian-processes-2106.14565</loc><lastmod>2023-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-reduction-for-matrix-computations-with-applications-to-gaussian-processes-2106.14565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-reduction-for-matrix-computations-with-applications-to-gaussian-processes-2106.14565"/></url>
<url><loc>https://scifaro.com/en/abs/improved-prediction-and-network-estimation-using-the-monotone-single-index-multi-variate-autoregressive-model-2106.14630</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-prediction-and-network-estimation-using-the-monotone-single-index-multi-variate-autoregressive-model-2106.14630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-prediction-and-network-estimation-using-the-monotone-single-index-multi-variate-autoregressive-model-2106.14630"/></url>
<url><loc>https://scifaro.com/en/abs/offline-planning-and-online-learning-under-recovering-rewards-2106.14813</loc><lastmod>2021-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-planning-and-online-learning-under-recovering-rewards-2106.14813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-planning-and-online-learning-under-recovering-rewards-2106.14813"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-an-exploring-demonstrator-optimal-reward-estimation-for-bandits-2106.14866</loc><lastmod>2022-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-an-exploring-demonstrator-optimal-reward-estimation-for-bandits-2106.14866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-an-exploring-demonstrator-optimal-reward-estimation-for-bandits-2106.14866"/></url>
<url><loc>https://scifaro.com/en/abs/sharp-lower-bounds-on-the-approximation-rate-of-shallow-neural-networks-2106.14997</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sharp-lower-bounds-on-the-approximation-rate-of-shallow-neural-networks-2106.14997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sharp-lower-bounds-on-the-approximation-rate-of-shallow-neural-networks-2106.14997"/></url>
<url><loc>https://scifaro.com/en/abs/test-time-adaptation-to-distribution-shift-by-confidence-maximization-and-input-transformation-2106.14999</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/test-time-adaptation-to-distribution-shift-by-confidence-maximization-and-input-transformation-2106.14999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/test-time-adaptation-to-distribution-shift-by-confidence-maximization-and-input-transformation-2106.14999"/></url>
<url><loc>https://scifaro.com/en/abs/characterization-of-the-variation-spaces-corresponding-to-shallow-neural-networks-2106.15002</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterization-of-the-variation-spaces-corresponding-to-shallow-neural-networks-2106.15002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterization-of-the-variation-spaces-corresponding-to-shallow-neural-networks-2106.15002"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-for-matrix-factorization-without-shared-rows-or-columns-2106.15133</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-for-matrix-factorization-without-shared-rows-or-columns-2106.15133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-for-matrix-factorization-without-shared-rows-or-columns-2106.15133"/></url>
<url><loc>https://scifaro.com/en/abs/a-non-parametric-view-of-fedavg-and-fedprox-beyond-stationary-points-2106.15216</loc><lastmod>2022-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-non-parametric-view-of-fedavg-and-fedprox-beyond-stationary-points-2106.15216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-non-parametric-view-of-fedavg-and-fedprox-beyond-stationary-points-2106.15216"/></url>
<url><loc>https://scifaro.com/en/abs/towards-sample-optimal-compressive-phase-retrieval-with-sparse-and-generative-priors-2106.15358</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-sample-optimal-compressive-phase-retrieval-with-sparse-and-generative-priors-2106.15358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-sample-optimal-compressive-phase-retrieval-with-sparse-and-generative-priors-2106.15358"/></url>
<url><loc>https://scifaro.com/en/abs/unified-framework-for-spectral-dimensionality-reduction-maximum-variance-unfolding-and-kernel-learning-by-semidefinite-programming-tutorial-and-survey-2106.15379</loc><lastmod>2022-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unified-framework-for-spectral-dimensionality-reduction-maximum-variance-unfolding-and-kernel-learning-by-semidefinite-programming-tutorial-and-survey-2106.15379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unified-framework-for-spectral-dimensionality-reduction-maximum-variance-unfolding-and-kernel-learning-by-semidefinite-programming-tutorial-and-survey-2106.15379"/></url>
<url><loc>https://scifaro.com/en/abs/fast-approximation-of-the-sliced-wasserstein-distance-using-concentration-of-random-projections-2106.15427</loc><lastmod>2022-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-approximation-of-the-sliced-wasserstein-distance-using-concentration-of-random-projections-2106.15427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-approximation-of-the-sliced-wasserstein-distance-using-concentration-of-random-projections-2106.15427"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-graphical-models-and-tensor-networks-a-hybrid-framework-2106.15666</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-graphical-models-and-tensor-networks-a-hybrid-framework-2106.15666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-graphical-models-and-tensor-networks-a-hybrid-framework-2106.15666"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-variational-auto-encoders-2106.15921</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-variational-auto-encoders-2106.15921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-variational-auto-encoders-2106.15921"/></url>
<url><loc>https://scifaro.com/en/abs/saddle-to-saddle-dynamics-in-deep-linear-networks-small-initialization-training-symmetry-and-sparsity-2106.15933</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/saddle-to-saddle-dynamics-in-deep-linear-networks-small-initialization-training-symmetry-and-sparsity-2106.15933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/saddle-to-saddle-dynamics-in-deep-linear-networks-small-initialization-training-symmetry-and-sparsity-2106.15933"/></url>
<url><loc>https://scifaro.com/en/abs/variational-refinement-for-importance-sampling-using-the-forward-kullback-leibler-divergence-2106.15980</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-refinement-for-importance-sampling-using-the-forward-kullback-leibler-divergence-2106.15980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-refinement-for-importance-sampling-using-the-forward-kullback-leibler-divergence-2106.15980"/></url>
<url><loc>https://scifaro.com/en/abs/fixed-points-of-nonnegative-neural-networks-2106.16239</loc><lastmod>2024-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fixed-points-of-nonnegative-neural-networks-2106.16239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fixed-points-of-nonnegative-neural-networks-2106.16239"/></url>
<url><loc>https://scifaro.com/en/abs/reparameterized-sampling-for-generative-adversarial-networks-2107.00352</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reparameterized-sampling-for-generative-adversarial-networks-2107.00352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reparameterized-sampling-for-generative-adversarial-networks-2107.00352"/></url>
<url><loc>https://scifaro.com/en/abs/valid-prediction-intervals-for-regression-problems-2107.00363</loc><lastmod>2024-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/valid-prediction-intervals-for-regression-problems-2107.00363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/valid-prediction-intervals-for-regression-problems-2107.00363"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-gca-and-thresholded-gradient-descent-2107.00371</loc><lastmod>2023-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-gca-and-thresholded-gradient-descent-2107.00371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-gca-and-thresholded-gradient-descent-2107.00371"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-expected-complexity-of-maxout-networks-2107.00379</loc><lastmod>2021-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-expected-complexity-of-maxout-networks-2107.00379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-expected-complexity-of-maxout-networks-2107.00379"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-for-relative-density-ratio-estimation-2107.00801</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-for-relative-density-ratio-estimation-2107.00801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-for-relative-density-ratio-estimation-2107.00801"/></url>
<url><loc>https://scifaro.com/en/abs/systematic-evaluation-of-causal-discovery-in-visual-model-based-reinforcement-learning-2107.00848</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/systematic-evaluation-of-causal-discovery-in-visual-model-based-reinforcement-learning-2107.00848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/systematic-evaluation-of-causal-discovery-in-visual-model-based-reinforcement-learning-2107.00848"/></url>
<url><loc>https://scifaro.com/en/abs/memory-efficient-meta-learning-with-large-images-2107.01105</loc><lastmod>2023-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-efficient-meta-learning-with-large-images-2107.01105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-efficient-meta-learning-with-large-images-2107.01105"/></url>
<url><loc>https://scifaro.com/en/abs/tight-mutual-information-estimation-with-contrastive-fenchel-legendre-optimization-2107.01131</loc><lastmod>2022-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-mutual-information-estimation-with-contrastive-fenchel-legendre-optimization-2107.01131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-mutual-information-estimation-with-contrastive-fenchel-legendre-optimization-2107.01131"/></url>
<url><loc>https://scifaro.com/en/abs/simpler-faster-stronger-breaking-the-log-k-curse-on-contrastive-learners-with-flatnce-2107.01152</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simpler-faster-stronger-breaking-the-log-k-curse-on-contrastive-learners-with-flatnce-2107.01152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simpler-faster-stronger-breaking-the-log-k-curse-on-contrastive-learners-with-flatnce-2107.01152"/></url>
<url><loc>https://scifaro.com/en/abs/truncated-marginal-neural-ratio-estimation-2107.01214</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/truncated-marginal-neural-ratio-estimation-2107.01214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/truncated-marginal-neural-ratio-estimation-2107.01214"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-roc-curves-with-a-sort-based-surrogate-loss-function-for-binary-classification-and-changepoint-detection-2107.01285</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-roc-curves-with-a-sort-based-surrogate-loss-function-for-binary-classification-and-changepoint-detection-2107.01285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-roc-curves-with-a-sort-based-surrogate-loss-function-for-binary-classification-and-changepoint-detection-2107.01285"/></url>
<url><loc>https://scifaro.com/en/abs/minimum-wasserstein-distance-estimator-under-finite-location-scale-mixtures-2107.01323</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimum-wasserstein-distance-estimator-under-finite-location-scale-mixtures-2107.01323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimum-wasserstein-distance-estimator-under-finite-location-scale-mixtures-2107.01323"/></url>
<url><loc>https://scifaro.com/en/abs/a-uniformly-consistent-estimator-of-non-gaussian-causal-effects-under-the-k-triangle-faithfulness-assumption-2107.01333</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-uniformly-consistent-estimator-of-non-gaussian-causal-effects-under-the-k-triangle-faithfulness-assumption-2107.01333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-uniformly-consistent-estimator-of-non-gaussian-causal-effects-under-the-k-triangle-faithfulness-assumption-2107.01333"/></url>
<url><loc>https://scifaro.com/en/abs/scale-mixtures-of-neural-network-gaussian-processes-2107.01408</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scale-mixtures-of-neural-network-gaussian-processes-2107.01408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scale-mixtures-of-neural-network-gaussian-processes-2107.01408"/></url>
<url><loc>https://scifaro.com/en/abs/slope-and-generalization-properties-of-neural-networks-2107.01473</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/slope-and-generalization-properties-of-neural-networks-2107.01473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/slope-and-generalization-properties-of-neural-networks-2107.01473"/></url>
<url><loc>https://scifaro.com/en/abs/deep-gaussian-process-emulation-using-stochastic-imputation-2107.01590</loc><lastmod>2022-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-gaussian-process-emulation-using-stochastic-imputation-2107.01590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-gaussian-process-emulation-using-stochastic-imputation-2107.01590"/></url>
<url><loc>https://scifaro.com/en/abs/the-role-of-live-in-livestreaming-markets-evidence-using-orthogonal-random-forest-2107.01629</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-live-in-livestreaming-markets-evidence-using-orthogonal-random-forest-2107.01629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-live-in-livestreaming-markets-evidence-using-orthogonal-random-forest-2107.01629"/></url>
<url><loc>https://scifaro.com/en/abs/learning-bayesian-networks-through-birkhoff-polytope-a-relaxation-method-2107.01658</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-bayesian-networks-through-birkhoff-polytope-a-relaxation-method-2107.01658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-bayesian-networks-through-birkhoff-polytope-a-relaxation-method-2107.01658"/></url>
<url><loc>https://scifaro.com/en/abs/latent-structure-blockmodels-for-bayesian-spectral-graph-clustering-2107.01734</loc><lastmod>2022-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-structure-blockmodels-for-bayesian-spectral-graph-clustering-2107.01734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-structure-blockmodels-for-bayesian-spectral-graph-clustering-2107.01734"/></url>
<url><loc>https://scifaro.com/en/abs/which-invariance-should-we-transfer-a-causal-minimax-learning-approach-2107.01876</loc><lastmod>2023-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/which-invariance-should-we-transfer-a-causal-minimax-learning-approach-2107.01876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/which-invariance-should-we-transfer-a-causal-minimax-learning-approach-2107.01876"/></url>
<url><loc>https://scifaro.com/en/abs/ucsl-a-machine-learning-expectation-maximization-framework-for-unsupervised-clustering-driven-by-supervised-learning-2107.01988</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ucsl-a-machine-learning-expectation-maximization-framework-for-unsupervised-clustering-driven-by-supervised-learning-2107.01988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ucsl-a-machine-learning-expectation-maximization-framework-for-unsupervised-clustering-driven-by-supervised-learning-2107.01988"/></url>
<url><loc>https://scifaro.com/en/abs/template-based-graph-clustering-2107.01994</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/template-based-graph-clustering-2107.01994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/template-based-graph-clustering-2107.01994"/></url>
<url><loc>https://scifaro.com/en/abs/antithetic-riemannian-manifold-and-quantum-inspired-hamiltonian-monte-carlo-2107.02070</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/antithetic-riemannian-manifold-and-quantum-inspired-hamiltonian-monte-carlo-2107.02070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/antithetic-riemannian-manifold-and-quantum-inspired-hamiltonian-monte-carlo-2107.02070"/></url>
<url><loc>https://scifaro.com/en/abs/tiled-squeeze-and-excite-channel-attention-with-local-spatial-context-2107.02145</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tiled-squeeze-and-excite-channel-attention-with-local-spatial-context-2107.02145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tiled-squeeze-and-excite-channel-attention-with-local-spatial-context-2107.02145"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotics-of-network-embeddings-learned-via-subsampling-2107.02363</loc><lastmod>2023-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotics-of-network-embeddings-learned-via-subsampling-2107.02363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotics-of-network-embeddings-learned-via-subsampling-2107.02363"/></url>
<url><loc>https://scifaro.com/en/abs/viscos-flows-variational-schur-conditional-sampling-with-normalizing-flows-2107.02474</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/viscos-flows-variational-schur-conditional-sampling-with-normalizing-flows-2107.02474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/viscos-flows-variational-schur-conditional-sampling-with-normalizing-flows-2107.02474"/></url>
<url><loc>https://scifaro.com/en/abs/midwifery-learning-and-forecasting-predicting-content-demand-with-user-generated-logs-2107.02480</loc><lastmod>2023-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/midwifery-learning-and-forecasting-predicting-content-demand-with-user-generated-logs-2107.02480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/midwifery-learning-and-forecasting-predicting-content-demand-with-user-generated-logs-2107.02480"/></url>
<url><loc>https://scifaro.com/en/abs/infonce-is-variational-inference-in-a-recognition-parameterised-model-2107.02495</loc><lastmod>2023-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infonce-is-variational-inference-in-a-recognition-parameterised-model-2107.02495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infonce-is-variational-inference-in-a-recognition-parameterised-model-2107.02495"/></url>
<url><loc>https://scifaro.com/en/abs/new-methods-and-datasets-for-group-anomaly-detection-from-fundamental-physics-2107.02821</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-methods-and-datasets-for-group-anomaly-detection-from-fundamental-physics-2107.02821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-methods-and-datasets-for-group-anomaly-detection-from-fundamental-physics-2107.02821"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-in-information-criteria-based-feature-selection-2107.02847</loc><lastmod>2022-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-in-information-criteria-based-feature-selection-2107.02847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-in-information-criteria-based-feature-selection-2107.02847"/></url>
<url><loc>https://scifaro.com/en/abs/solution-of-physics-based-bayesian-inverse-problems-with-deep-generative-priors-2107.02926</loc><lastmod>2022-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solution-of-physics-based-bayesian-inverse-problems-with-deep-generative-priors-2107.02926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solution-of-physics-based-bayesian-inverse-problems-with-deep-generative-priors-2107.02926"/></url>
<url><loc>https://scifaro.com/en/abs/test-for-non-negligible-adverse-shifts-2107.02990</loc><lastmod>2022-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/test-for-non-negligible-adverse-shifts-2107.02990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/test-for-non-negligible-adverse-shifts-2107.02990"/></url>
<url><loc>https://scifaro.com/en/abs/neural-contextual-bandits-without-regret-2107.03144</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-contextual-bandits-without-regret-2107.03144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-contextual-bandits-without-regret-2107.03144"/></url>
<url><loc>https://scifaro.com/en/abs/a-closed-form-approximation-to-the-conjugate-prior-of-the-dirichlet-and-beta-distributions-2107.03183</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-closed-form-approximation-to-the-conjugate-prior-of-the-dirichlet-and-beta-distributions-2107.03183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-closed-form-approximation-to-the-conjugate-prior-of-the-dirichlet-and-beta-distributions-2107.03183"/></url>
<url><loc>https://scifaro.com/en/abs/combined-global-and-local-search-for-optimization-with-gaussian-process-models-2107.03217</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combined-global-and-local-search-for-optimization-with-gaussian-process-models-2107.03217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combined-global-and-local-search-for-optimization-with-gaussian-process-models-2107.03217"/></url>
<url><loc>https://scifaro.com/en/abs/md-split-practical-local-conformal-inference-in-high-dimensions-2107.03280</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/md-split-practical-local-conformal-inference-in-high-dimensions-2107.03280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/md-split-practical-local-conformal-inference-in-high-dimensions-2107.03280"/></url>
<url><loc>https://scifaro.com/en/abs/an-algorithmic-view-of-ell-2-regularization-and-some-path-following-algorithms-2107.03322</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-algorithmic-view-of-ell-2-regularization-and-some-path-following-algorithms-2107.03322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-algorithmic-view-of-ell-2-regularization-and-some-path-following-algorithms-2107.03322"/></url>
<url><loc>https://scifaro.com/en/abs/model-selection-for-generic-contextual-bandits-2107.03455</loc><lastmod>2023-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-selection-for-generic-contextual-bandits-2107.03455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-selection-for-generic-contextual-bandits-2107.03455"/></url>
<url><loc>https://scifaro.com/en/abs/encoding-domain-information-with-sparse-priors-for-inferring-explainable-latent-variables-2107.03730</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/encoding-domain-information-with-sparse-priors-for-inferring-explainable-latent-variables-2107.03730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/encoding-domain-information-with-sparse-priors-for-inferring-explainable-latent-variables-2107.03730"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-as-a-mean-field-game-2107.03770</loc><lastmod>2021-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-as-a-mean-field-game-2107.03770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-as-a-mean-field-game-2107.03770"/></url>
<url><loc>https://scifaro.com/en/abs/benchpress-a-scalable-and-versatile-workflow-for-benchmarking-structure-learning-algorithms-2107.03863</loc><lastmod>2023-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchpress-a-scalable-and-versatile-workflow-for-benchmarking-structure-learning-algorithms-2107.03863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchpress-a-scalable-and-versatile-workflow-for-benchmarking-structure-learning-algorithms-2107.03863"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-free-frequentist-inference-bridging-classical-statistics-and-machine-learning-for-reliable-simulator-based-inference-2107.03920</loc><lastmod>2024-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-free-frequentist-inference-bridging-classical-statistics-and-machine-learning-for-reliable-simulator-based-inference-2107.03920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-free-frequentist-inference-bridging-classical-statistics-and-machine-learning-for-reliable-simulator-based-inference-2107.03920"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-model-based-multi-agent-mean-field-reinforcement-learning-2107.04050</loc><lastmod>2023-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-model-based-multi-agent-mean-field-reinforcement-learning-2107.04050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-model-based-multi-agent-mean-field-reinforcement-learning-2107.04050"/></url>
<url><loc>https://scifaro.com/en/abs/many-objective-bayesian-optimization-2107.04126</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/many-objective-bayesian-optimization-2107.04126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/many-objective-bayesian-optimization-2107.04126"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-of-the-change-of-variables-formula-with-applications-to-residual-flows-2107.04346</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-of-the-change-of-variables-formula-with-applications-to-residual-flows-2107.04346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-of-the-change-of-variables-formula-with-applications-to-residual-flows-2107.04346"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-in-the-teacher-student-setup-impact-of-task-similarity-2107.04384</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-in-the-teacher-student-setup-impact-of-task-similarity-2107.04384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-in-the-teacher-student-setup-impact-of-task-similarity-2107.04384"/></url>
<url><loc>https://scifaro.com/en/abs/the-bayesian-learning-rule-2107.04562</loc><lastmod>2024-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-bayesian-learning-rule-2107.04562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-bayesian-learning-rule-2107.04562"/></url>
<url><loc>https://scifaro.com/en/abs/cluster-regularization-via-a-hierarchical-feature-regression-2107.04831</loc><lastmod>2022-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cluster-regularization-via-a-hierarchical-feature-regression-2107.04831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cluster-regularization-via-a-hierarchical-feature-regression-2107.04831"/></url>
<url><loc>https://scifaro.com/en/abs/improving-efficiency-and-accuracy-of-causal-discovery-using-a-hierarchical-wrapper-2107.05001</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-efficiency-and-accuracy-of-causal-discovery-using-a-hierarchical-wrapper-2107.05001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-efficiency-and-accuracy-of-causal-discovery-using-a-hierarchical-wrapper-2107.05001"/></url>
<url><loc>https://scifaro.com/en/abs/metalearning-linear-bandits-by-prior-update-2107.05320</loc><lastmod>2022-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metalearning-linear-bandits-by-prior-update-2107.05320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metalearning-linear-bandits-by-prior-update-2107.05320"/></url>
<url><loc>https://scifaro.com/en/abs/calibrating-predictions-to-decisions-a-novel-approach-to-multi-class-calibration-2107.05719</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrating-predictions-to-decisions-a-novel-approach-to-multi-class-calibration-2107.05719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrating-predictions-to-decisions-a-novel-approach-to-multi-class-calibration-2107.05719"/></url>
<url><loc>https://scifaro.com/en/abs/oversampling-divide-and-conquer-for-response-skewed-kernel-ridge-regression-2107.05834</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/oversampling-divide-and-conquer-for-response-skewed-kernel-ridge-regression-2107.05834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/oversampling-divide-and-conquer-for-response-skewed-kernel-ridge-regression-2107.05834"/></url>
<url><loc>https://scifaro.com/en/abs/hyperparameter-optimization-foundations-algorithms-best-practices-and-open-challenges-2107.05847</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperparameter-optimization-foundations-algorithms-best-practices-and-open-challenges-2107.05847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperparameter-optimization-foundations-algorithms-best-practices-and-open-challenges-2107.05847"/></url>
<url><loc>https://scifaro.com/en/abs/model-selection-for-generic-reinforcement-learning-2107.05849</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-selection-for-generic-reinforcement-learning-2107.05849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-selection-for-generic-reinforcement-learning-2107.05849"/></url>
<url><loc>https://scifaro.com/en/abs/deep-autoregressive-models-with-spectral-attention-2107.05984</loc><lastmod>2021-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-autoregressive-models-with-spectral-attention-2107.05984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-autoregressive-models-with-spectral-attention-2107.05984"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-gan-deep-generation-applied-on-bitcoins-financial-time-series-2107.06008</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-gan-deep-generation-applied-on-bitcoins-financial-time-series-2107.06008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-gan-deep-generation-applied-on-bitcoins-financial-time-series-2107.06008"/></url>
<url><loc>https://scifaro.com/en/abs/spectrum-gaussian-processes-based-on-tunable-basis-functions-2107.06473</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectrum-gaussian-processes-based-on-tunable-basis-functions-2107.06473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectrum-gaussian-processes-based-on-tunable-basis-functions-2107.06473"/></url>
<url><loc>https://scifaro.com/en/abs/m5-competition-uncertainty-overdispersion-distributional-forecasting-gamlss-and-beyond-2107.06675</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/m5-competition-uncertainty-overdispersion-distributional-forecasting-gamlss-and-beyond-2107.06675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/m5-competition-uncertainty-overdispersion-distributional-forecasting-gamlss-and-beyond-2107.06675"/></url>
<url><loc>https://scifaro.com/en/abs/entropic-inequality-constraints-from-e-separation-relations-in-directed-acyclic-graphs-with-hidden-variables-2107.07087</loc><lastmod>2023-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropic-inequality-constraints-from-e-separation-relations-in-directed-acyclic-graphs-with-hidden-variables-2107.07087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropic-inequality-constraints-from-e-separation-relations-in-directed-acyclic-graphs-with-hidden-variables-2107.07087"/></url>
<url><loc>https://scifaro.com/en/abs/hida-mat-ern-kernel-2107.07098</loc><lastmod>2021-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hida-mat-ern-kernel-2107.07098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hida-mat-ern-kernel-2107.07098"/></url>
<url><loc>https://scifaro.com/en/abs/principal-component-analysis-for-gaussian-process-posteriors-2107.07115</loc><lastmod>2023-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principal-component-analysis-for-gaussian-process-posteriors-2107.07115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principal-component-analysis-for-gaussian-process-posteriors-2107.07115"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-for-bandit-multiple-testing-2107.07322</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-for-bandit-multiple-testing-2107.07322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-for-bandit-multiple-testing-2107.07322"/></url>
<url><loc>https://scifaro.com/en/abs/fastshap-real-time-shapley-value-estimation-2107.07436</loc><lastmod>2022-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fastshap-real-time-shapley-value-estimation-2107.07436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fastshap-real-time-shapley-value-estimation-2107.07436"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-chaining-with-imprecise-probabilities-2107.07443</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-chaining-with-imprecise-probabilities-2107.07443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-chaining-with-imprecise-probabilities-2107.07443"/></url>
<url><loc>https://scifaro.com/en/abs/mid-flight-forecasting-for-cpa-lines-in-online-advertising-2107.07494</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mid-flight-forecasting-for-cpa-lines-in-online-advertising-2107.07494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mid-flight-forecasting-for-cpa-lines-in-online-advertising-2107.07494"/></url>
<url><loc>https://scifaro.com/en/abs/auto-differentiable-ensemble-kalman-filters-2107.07687</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auto-differentiable-ensemble-kalman-filters-2107.07687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auto-differentiable-ensemble-kalman-filters-2107.07687"/></url>
<url><loc>https://scifaro.com/en/abs/a-causal-perspective-on-meaningful-and-robust-algorithmic-recourse-2107.07853</loc><lastmod>2021-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-causal-perspective-on-meaningful-and-robust-algorithmic-recourse-2107.07853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-causal-perspective-on-meaningful-and-robust-algorithmic-recourse-2107.07853"/></url>
<url><loc>https://scifaro.com/en/abs/a-penalized-shared-parameter-algorithm-for-estimating-optimal-dynamic-treatment-regimens-2107.07875</loc><lastmod>2024-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-penalized-shared-parameter-algorithm-for-estimating-optimal-dynamic-treatment-regimens-2107.07875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-penalized-shared-parameter-algorithm-for-estimating-optimal-dynamic-treatment-regimens-2107.07875"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-bayesian-sampling-using-normalizing-flows-to-assist-markov-chain-monte-carlo-methods-2107.08001</loc><lastmod>2021-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-bayesian-sampling-using-normalizing-flows-to-assist-markov-chain-monte-carlo-methods-2107.08001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-bayesian-sampling-using-normalizing-flows-to-assist-markov-chain-monte-carlo-methods-2107.08001"/></url>
<url><loc>https://scifaro.com/en/abs/online-graph-topology-learning-from-matrix-valued-time-series-2107.08020</loc><lastmod>2026-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-graph-topology-learning-from-matrix-valued-time-series-2107.08020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-graph-topology-learning-from-matrix-valued-time-series-2107.08020"/></url>
<url><loc>https://scifaro.com/en/abs/mediated-uncoupled-learning-learning-functions-without-direct-input-output-correspondences-2107.08135</loc><lastmod>2022-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mediated-uncoupled-learning-learning-functions-without-direct-input-output-correspondences-2107.08135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mediated-uncoupled-learning-learning-functions-without-direct-input-output-correspondences-2107.08135"/></url>
<url><loc>https://scifaro.com/en/abs/model-uncertainty-and-correctability-for-directed-graphical-models-2107.08179</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-uncertainty-and-correctability-for-directed-graphical-models-2107.08179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-uncertainty-and-correctability-for-directed-graphical-models-2107.08179"/></url>
<url><loc>https://scifaro.com/en/abs/minimising-quantifier-variance-under-prior-probability-shift-2107.08209</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimising-quantifier-variance-under-prior-probability-shift-2107.08209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimising-quantifier-variance-under-prior-probability-shift-2107.08209"/></url>
<url><loc>https://scifaro.com/en/abs/subset-of-data-variational-inference-for-deep-gaussian-processes-regression-2107.08265</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subset-of-data-variational-inference-for-deep-gaussian-processes-regression-2107.08265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subset-of-data-variational-inference-for-deep-gaussian-processes-regression-2107.08265"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-simulation-optimization-via-brownian-fields-and-sparse-grids-2107.08595</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-simulation-optimization-via-brownian-fields-and-sparse-grids-2107.08595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-simulation-optimization-via-brownian-fields-and-sparse-grids-2107.08595"/></url>
<url><loc>https://scifaro.com/en/abs/equivariant-manifold-flows-2107.08596</loc><lastmod>2022-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivariant-manifold-flows-2107.08596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivariant-manifold-flows-2107.08596"/></url>
<url><loc>https://scifaro.com/en/abs/reward-weighted-regression-converges-to-a-global-optimum-2107.09088</loc><lastmod>2022-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reward-weighted-regression-converges-to-a-global-optimum-2107.09088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reward-weighted-regression-converges-to-a-global-optimum-2107.09088"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-wavelet-distillation-from-neural-networks-through-interpretations-2107.09145</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-wavelet-distillation-from-neural-networks-through-interpretations-2107.09145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-wavelet-distillation-from-neural-networks-through-interpretations-2107.09145"/></url>
<url><loc>https://scifaro.com/en/abs/can-we-globally-optimize-cross-validation-loss-quasiconvexity-in-ridge-regression-2107.09194</loc><lastmod>2022-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-we-globally-optimize-cross-validation-loss-quasiconvexity-in-ridge-regression-2107.09194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-we-globally-optimize-cross-validation-loss-quasiconvexity-in-ridge-regression-2107.09194"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-approach-to-invariant-deep-neural-networks-2107.09301</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-approach-to-invariant-deep-neural-networks-2107.09301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-approach-to-invariant-deep-neural-networks-2107.09301"/></url>
<url><loc>https://scifaro.com/en/abs/an-induction-proof-of-the-backpropagation-algorithm-in-matrix-notation-2107.09384</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-induction-proof-of-the-backpropagation-algorithm-in-matrix-notation-2107.09384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-induction-proof-of-the-backpropagation-algorithm-in-matrix-notation-2107.09384"/></url>
<url><loc>https://scifaro.com/en/abs/canonical-polyadic-decomposition-and-deep-learning-for-machine-fault-detection-2107.09519</loc><lastmod>2022-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/canonical-polyadic-decomposition-and-deep-learning-for-machine-fault-detection-2107.09519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/canonical-polyadic-decomposition-and-deep-learning-for-machine-fault-detection-2107.09519"/></url>
<url><loc>https://scifaro.com/en/abs/delving-into-deep-walkers-a-convergence-analysis-of-random-walk-based-vertex-embeddings-2107.10014</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/delving-into-deep-walkers-a-convergence-analysis-of-random-walk-based-vertex-embeddings-2107.10014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/delving-into-deep-walkers-a-convergence-analysis-of-random-walk-based-vertex-embeddings-2107.10014"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-inducing-points-selection-for-gaussian-processes-2107.10066</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-inducing-points-selection-for-gaussian-processes-2107.10066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-inducing-points-selection-for-gaussian-processes-2107.10066"/></url>
<url><loc>https://scifaro.com/en/abs/disentanglement-via-mechanism-sparsity-regularization-a-new-principle-for-nonlinear-ica-2107.10098</loc><lastmod>2022-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentanglement-via-mechanism-sparsity-regularization-a-new-principle-for-nonlinear-ica-2107.10098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentanglement-via-mechanism-sparsity-regularization-a-new-principle-for-nonlinear-ica-2107.10098"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-prior-guided-zeroth-order-optimization-algorithms-2107.10110</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-prior-guided-zeroth-order-optimization-algorithms-2107.10110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-prior-guided-zeroth-order-optimization-algorithms-2107.10110"/></url>
<url><loc>https://scifaro.com/en/abs/a-variational-approximate-posterior-for-the-deep-wishart-process-2107.10125</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-variational-approximate-posterior-for-the-deep-wishart-process-2107.10125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-variational-approximate-posterior-for-the-deep-wishart-process-2107.10125"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-annealed-importance-sampling-and-the-perils-of-gradient-noise-2107.10211</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-annealed-importance-sampling-and-the-perils-of-gradient-noise-2107.10211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-annealed-importance-sampling-and-the-perils-of-gradient-noise-2107.10211"/></url>
<url><loc>https://scifaro.com/en/abs/an-overcome-of-far-distance-limitation-on-tunnel-cctv-based-accident-detection-in-ai-deep-learning-frameworks-2107.10567</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-overcome-of-far-distance-limitation-on-tunnel-cctv-based-accident-detection-in-ai-deep-learning-frameworks-2107.10567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-overcome-of-far-distance-limitation-on-tunnel-cctv-based-accident-detection-in-ai-deep-learning-frameworks-2107.10567"/></url>
<url><loc>https://scifaro.com/en/abs/fed-ensemble-improving-generalization-through-model-ensembling-in-federated-learning-2107.10663</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fed-ensemble-improving-generalization-through-model-ensembling-in-federated-learning-2107.10663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fed-ensemble-improving-generalization-through-model-ensembling-in-federated-learning-2107.10663"/></url>
<url><loc>https://scifaro.com/en/abs/a-local-approach-to-parameter-space-reduction-for-regression-and-classification-tasks-2107.10867</loc><lastmod>2024-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-local-approach-to-parameter-space-reduction-for-regression-and-classification-tasks-2107.10867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-local-approach-to-parameter-space-reduction-for-regression-and-classification-tasks-2107.10867"/></url>
<url><loc>https://scifaro.com/en/abs/structured-second-order-methods-via-natural-gradient-descent-2107.10884</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-second-order-methods-via-natural-gradient-descent-2107.10884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-second-order-methods-via-natural-gradient-descent-2107.10884"/></url>
<url><loc>https://scifaro.com/en/abs/learning-linear-polytree-structural-equation-models-2107.10955</loc><lastmod>2024-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-linear-polytree-structural-equation-models-2107.10955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-linear-polytree-structural-equation-models-2107.10955"/></url>
<url><loc>https://scifaro.com/en/abs/the-decomposition-of-the-higher-order-homology-embedding-constructed-from-the-k-laplacian-2107.10970</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-decomposition-of-the-higher-order-homology-embedding-constructed-from-the-k-laplacian-2107.10970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-decomposition-of-the-higher-order-homology-embedding-constructed-from-the-k-laplacian-2107.10970"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-of-combined-data-assimilation-and-machine-learning-methods-for-offline-and-online-model-error-correction-2107.11114</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-combined-data-assimilation-and-machine-learning-methods-for-offline-and-online-model-error-correction-2107.11114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-combined-data-assimilation-and-machine-learning-methods-for-offline-and-online-model-error-correction-2107.11114"/></url>
<url><loc>https://scifaro.com/en/abs/state-global-and-local-parameter-estimation-using-local-ensemble-kalman-filters-applications-to-online-machine-learning-of-chaotic-dynamics-2107.11253</loc><lastmod>2022-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/state-global-and-local-parameter-estimation-using-local-ensemble-kalman-filters-applications-to-online-machine-learning-of-chaotic-dynamics-2107.11253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/state-global-and-local-parameter-estimation-using-local-ensemble-kalman-filters-applications-to-online-machine-learning-of-chaotic-dynamics-2107.11253"/></url>
<url><loc>https://scifaro.com/en/abs/joint-shapley-values-a-measure-of-joint-feature-importance-2107.11357</loc><lastmod>2022-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-shapley-values-a-measure-of-joint-feature-importance-2107.11357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-shapley-values-a-measure-of-joint-feature-importance-2107.11357"/></url>
<url><loc>https://scifaro.com/en/abs/finite-time-analysis-of-globally-nonstationary-multi-armed-bandits-2107.11419</loc><lastmod>2023-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-time-analysis-of-globally-nonstationary-multi-armed-bandits-2107.11419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-time-analysis-of-globally-nonstationary-multi-armed-bandits-2107.11419"/></url>
<url><loc>https://scifaro.com/en/abs/combining-online-learning-and-offline-learning-for-contextual-bandits-with-deficient-support-2107.11533</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-online-learning-and-offline-learning-for-contextual-bandits-with-deficient-support-2107.11533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-online-learning-and-offline-learning-for-contextual-bandits-with-deficient-support-2107.11533"/></url>
<url><loc>https://scifaro.com/en/abs/inference-of-collective-gaussian-hidden-markov-models-2107.11662</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-of-collective-gaussian-hidden-markov-models-2107.11662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-of-collective-gaussian-hidden-markov-models-2107.11662"/></url>
<url><loc>https://scifaro.com/en/abs/stability-generalisation-of-gradient-descent-for-shallow-neural-networks-without-the-neural-tangent-kernel-2107.12723</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-generalisation-of-gradient-descent-for-shallow-neural-networks-without-the-neural-tangent-kernel-2107.12723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-generalisation-of-gradient-descent-for-shallow-neural-networks-without-the-neural-tangent-kernel-2107.12723"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-guarantees-for-fairness-aware-plug-in-algorithms-2107.12783</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-guarantees-for-fairness-aware-plug-in-algorithms-2107.12783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-guarantees-for-fairness-aware-plug-in-algorithms-2107.12783"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-splitting-gaussian-process-regression-for-heterogeneous-online-bayesian-inference-2107.12797</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-splitting-gaussian-process-regression-for-heterogeneous-online-bayesian-inference-2107.12797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-splitting-gaussian-process-regression-for-heterogeneous-online-bayesian-inference-2107.12797"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-density-estimation-by-stagewise-algorithm-with-a-simple-dictionary-2107.13430</loc><lastmod>2021-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-density-estimation-by-stagewise-algorithm-with-a-simple-dictionary-2107.13430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-density-estimation-by-stagewise-algorithm-with-a-simple-dictionary-2107.13430"/></url>
<url><loc>https://scifaro.com/en/abs/amplitude-mean-of-functional-data-on-mathbb-s-2-2107.13721</loc><lastmod>2022-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amplitude-mean-of-functional-data-on-mathbb-s-2-2107.13721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amplitude-mean-of-functional-data-on-mathbb-s-2-2107.13721"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-temporal-evolution-of-multivariate-densities-via-normalizing-flows-2107.13735</loc><lastmod>2022-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-temporal-evolution-of-multivariate-densities-via-normalizing-flows-2107.13735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-temporal-evolution-of-multivariate-densities-via-normalizing-flows-2107.13735"/></url>
<url><loc>https://scifaro.com/en/abs/did-the-model-change-efficiently-assessing-machine-learning-api-shifts-2107.14203</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/did-the-model-change-efficiently-assessing-machine-learning-api-shifts-2107.14203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/did-the-model-change-efficiently-assessing-machine-learning-api-shifts-2107.14203"/></url>
<url><loc>https://scifaro.com/en/abs/deep-networks-provably-classify-data-on-curves-2107.14324</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-networks-provably-classify-data-on-curves-2107.14324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-networks-provably-classify-data-on-curves-2107.14324"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-free-optimality-intervals-for-clustering-2107.14442</loc><lastmod>2023-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-free-optimality-intervals-for-clustering-2107.14442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-free-optimality-intervals-for-clustering-2107.14442"/></url>
<url><loc>https://scifaro.com/en/abs/pure-exploration-and-regret-minimization-in-matching-bandits-2108.00230</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pure-exploration-and-regret-minimization-in-matching-bandits-2108.00230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pure-exploration-and-regret-minimization-in-matching-bandits-2108.00230"/></url>
<url><loc>https://scifaro.com/en/abs/how-much-pre-training-is-enough-to-discover-a-good-subnetwork-2108.00259</loc><lastmod>2023-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-much-pre-training-is-enough-to-discover-a-good-subnetwork-2108.00259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-much-pre-training-is-enough-to-discover-a-good-subnetwork-2108.00259"/></url>
<url><loc>https://scifaro.com/en/abs/a-random-matrix-perspective-on-random-tensors-2108.00774</loc><lastmod>2022-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-random-matrix-perspective-on-random-tensors-2108.00774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-random-matrix-perspective-on-random-tensors-2108.00774"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-using-lower-tail-exponents-in-stochastic-optimizers-2108.00781</loc><lastmod>2022-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-using-lower-tail-exponents-in-stochastic-optimizers-2108.00781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-using-lower-tail-exponents-in-stochastic-optimizers-2108.00781"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-posterior-learning-for-emission-tomography-with-multimodal-data-2108.00866</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-posterior-learning-for-emission-tomography-with-multimodal-data-2108.00866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-posterior-learning-for-emission-tomography-with-multimodal-data-2108.00866"/></url>
<url><loc>https://scifaro.com/en/abs/mrcpy-a-library-for-minimax-risk-classifiers-2108.01952</loc><lastmod>2024-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mrcpy-a-library-for-minimax-risk-classifiers-2108.01952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mrcpy-a-library-for-minimax-risk-classifiers-2108.01952"/></url>
<url><loc>https://scifaro.com/en/abs/staged-trees-and-asymmetry-labeled-dags-2108.01994</loc><lastmod>2022-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/staged-trees-and-asymmetry-labeled-dags-2108.01994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/staged-trees-and-asymmetry-labeled-dags-2108.01994"/></url>
<url><loc>https://scifaro.com/en/abs/autoll-automatic-linear-layout-of-graphs-based-on-deep-neural-network-2108.02431</loc><lastmod>2026-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoll-automatic-linear-layout-of-graphs-based-on-deep-neural-network-2108.02431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoll-automatic-linear-layout-of-graphs-based-on-deep-neural-network-2108.02431"/></url>
<url><loc>https://scifaro.com/en/abs/shape-modeling-with-spline-partitions-2108.02507</loc><lastmod>2022-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shape-modeling-with-spline-partitions-2108.02507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shape-modeling-with-spline-partitions-2108.02507"/></url>
<url><loc>https://scifaro.com/en/abs/a-variational-bayesian-spatial-interaction-model-for-estimating-revenue-and-demand-at-business-facilities-2108.02594</loc><lastmod>2021-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-variational-bayesian-spatial-interaction-model-for-estimating-revenue-and-demand-at-business-facilities-2108.02594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-variational-bayesian-spatial-interaction-model-for-estimating-revenue-and-demand-at-business-facilities-2108.02594"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-optimization-of-random-material-microstructures-in-the-small-data-regime-2108.02606</loc><lastmod>2021-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-optimization-of-random-material-microstructures-in-the-small-data-regime-2108.02606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-optimization-of-random-material-microstructures-in-the-small-data-regime-2108.02606"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-inverse-problems-with-unknown-operator-2108.02744</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-inverse-problems-with-unknown-operator-2108.02744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-inverse-problems-with-unknown-operator-2108.02744"/></url>
<url><loc>https://scifaro.com/en/abs/interpolation-can-hurt-robust-generalization-even-when-there-is-no-noise-2108.02883</loc><lastmod>2021-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpolation-can-hurt-robust-generalization-even-when-there-is-no-noise-2108.02883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpolation-can-hurt-robust-generalization-even-when-there-is-no-noise-2108.02883"/></url>
<url><loc>https://scifaro.com/en/abs/path-classification-by-stochastic-linear-recurrent-neural-networks-2108.03090</loc><lastmod>2023-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/path-classification-by-stochastic-linear-recurrent-neural-networks-2108.03090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/path-classification-by-stochastic-linear-recurrent-neural-networks-2108.03090"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-large-data-sets-with-incremental-estimation-of-low-density-separating-hyperplanes-2108.03442</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-large-data-sets-with-incremental-estimation-of-low-density-separating-hyperplanes-2108.03442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-large-data-sets-with-incremental-estimation-of-low-density-separating-hyperplanes-2108.03442"/></url>
<url><loc>https://scifaro.com/en/abs/online-bootstrap-inference-for-policy-evaluation-in-reinforcement-learning-2108.03706</loc><lastmod>2022-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-bootstrap-inference-for-policy-evaluation-in-reinforcement-learning-2108.03706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-bootstrap-inference-for-policy-evaluation-in-reinforcement-learning-2108.03706"/></url>
<url><loc>https://scifaro.com/en/abs/pathfinder-parallel-quasi-newton-variational-inference-2108.03782</loc><lastmod>2022-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pathfinder-parallel-quasi-newton-variational-inference-2108.03782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pathfinder-parallel-quasi-newton-variational-inference-2108.03782"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-quantification-for-industrial-design-using-dictionaries-of-reduced-order-models-2108.04012</loc><lastmod>2023-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-quantification-for-industrial-design-using-dictionaries-of-reduced-order-models-2108.04012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-quantification-for-industrial-design-using-dictionaries-of-reduced-order-models-2108.04012"/></url>
<url><loc>https://scifaro.com/en/abs/johnson-lindenstrauss-lemma-linear-and-nonlinear-random-projections-random-fourier-features-and-random-kitchen-sinks-tutorial-and-survey-2108.04172</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/johnson-lindenstrauss-lemma-linear-and-nonlinear-random-projections-random-fourier-features-and-random-kitchen-sinks-tutorial-and-survey-2108.04172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/johnson-lindenstrauss-lemma-linear-and-nonlinear-random-projections-random-fourier-features-and-random-kitchen-sinks-tutorial-and-survey-2108.04172"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-principal-component-analysis-in-high-dimensional-cp-models-2108.04428</loc><lastmod>2022-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-principal-component-analysis-in-high-dimensional-cp-models-2108.04428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-principal-component-analysis-in-high-dimensional-cp-models-2108.04428"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-saddle-point-calculation-2108.04698</loc><lastmod>2022-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-saddle-point-calculation-2108.04698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-saddle-point-calculation-2108.04698"/></url>
<url><loc>https://scifaro.com/en/abs/imitation-learning-by-reinforcement-learning-2108.04763</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imitation-learning-by-reinforcement-learning-2108.04763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imitation-learning-by-reinforcement-learning-2108.04763"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-algorithms-for-precision-medicine-2108.04782</loc><lastmod>2021-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-algorithms-for-precision-medicine-2108.04782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-algorithms-for-precision-medicine-2108.04782"/></url>
<url><loc>https://scifaro.com/en/abs/a-spectral-based-analysis-of-the-separation-between-two-layer-neural-networks-and-linear-methods-2108.04964</loc><lastmod>2022-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-spectral-based-analysis-of-the-separation-between-two-layer-neural-networks-and-linear-methods-2108.04964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-spectral-based-analysis-of-the-separation-between-two-layer-neural-networks-and-linear-methods-2108.04964"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-risk-minimization-for-time-series-nonparametric-performance-bounds-for-prediction-2108.05184</loc><lastmod>2021-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-risk-minimization-for-time-series-nonparametric-performance-bounds-for-prediction-2108.05184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-risk-minimization-for-time-series-nonparametric-performance-bounds-for-prediction-2108.05184"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-sparse-regularization-the-impact-of-depth-and-early-stopping-2108.05574</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-sparse-regularization-the-impact-of-depth-and-early-stopping-2108.05574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-sparse-regularization-the-impact-of-depth-and-early-stopping-2108.05574"/></url>
<url><loc>https://scifaro.com/en/abs/feature-engineering-with-regularity-structures-2108.05879</loc><lastmod>2023-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-engineering-with-regularity-structures-2108.05879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-engineering-with-regularity-structures-2108.05879"/></url>
<url><loc>https://scifaro.com/en/abs/multi-stage-graph-peeling-algorithm-for-probabilistic-core-decomposition-2108.06094</loc><lastmod>2023-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-stage-graph-peeling-algorithm-for-probabilistic-core-decomposition-2108.06094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-stage-graph-peeling-algorithm-for-probabilistic-core-decomposition-2108.06094"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-advice-for-interpreting-local-and-global-model-predictions-in-bioinformatics-problems-2108.06201</loc><lastmod>2022-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-advice-for-interpreting-local-and-global-model-predictions-in-bioinformatics-problems-2108.06201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-advice-for-interpreting-local-and-global-model-predictions-in-bioinformatics-problems-2108.06201"/></url>
<url><loc>https://scifaro.com/en/abs/continual-semi-supervised-learning-through-contrastive-interpolation-consistency-2108.06552</loc><lastmod>2022-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-semi-supervised-learning-through-contrastive-interpolation-consistency-2108.06552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-semi-supervised-learning-through-contrastive-interpolation-consistency-2108.06552"/></url>
<url><loc>https://scifaro.com/en/abs/equity-directed-bootstrapping-examples-and-analysis-2108.06624</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equity-directed-bootstrapping-examples-and-analysis-2108.06624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equity-directed-bootstrapping-examples-and-analysis-2108.06624"/></url>
<url><loc>https://scifaro.com/en/abs/time-delay-estimation-of-traffic-congestion-propagation-due-to-accidents-based-on-statistical-causality-2108.06717</loc><lastmod>2022-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-delay-estimation-of-traffic-congestion-propagation-due-to-accidents-based-on-statistical-causality-2108.06717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-delay-estimation-of-traffic-congestion-propagation-due-to-accidents-based-on-statistical-causality-2108.06717"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-and-improving-deep-learning-models-with-reality-checks-2108.06847</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-and-improving-deep-learning-models-with-reality-checks-2108.06847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-and-improving-deep-learning-models-with-reality-checks-2108.06847"/></url>
<url><loc>https://scifaro.com/en/abs/non-local-feature-aggregation-on-graphs-via-latent-fixed-data-structures-2108.07028</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-local-feature-aggregation-on-graphs-via-latent-fixed-data-structures-2108.07028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-local-feature-aggregation-on-graphs-via-latent-fixed-data-structures-2108.07028"/></url>
<url><loc>https://scifaro.com/en/abs/robust-trimmed-k-means-2108.07186</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-trimmed-k-means-2108.07186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-trimmed-k-means-2108.07186"/></url>
<url><loc>https://scifaro.com/en/abs/infogram-and-admissible-machine-learning-2108.07380</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infogram-and-admissible-machine-learning-2108.07380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infogram-and-admissible-machine-learning-2108.07380"/></url>
<url><loc>https://scifaro.com/en/abs/accounting-for-shared-covariates-in-semi-parametric-bayesian-additive-regression-trees-2108.07636</loc><lastmod>2026-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accounting-for-shared-covariates-in-semi-parametric-bayesian-additive-regression-trees-2108.07636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accounting-for-shared-covariates-in-semi-parametric-bayesian-additive-regression-trees-2108.07636"/></url>
<url><loc>https://scifaro.com/en/abs/aggregated-customer-engagement-model-2108.07872</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aggregated-customer-engagement-model-2108.07872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aggregated-customer-engagement-model-2108.07872"/></url>
<url><loc>https://scifaro.com/en/abs/semantic-perturbations-with-normalizing-flows-for-improved-generalization-2108.07958</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semantic-perturbations-with-normalizing-flows-for-improved-generalization-2108.07958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semantic-perturbations-with-normalizing-flows-for-improved-generalization-2108.07958"/></url>
<url><loc>https://scifaro.com/en/abs/on-multimarginal-partial-optimal-transport-equivalent-forms-and-computational-complexity-2108.07992</loc><lastmod>2022-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-multimarginal-partial-optimal-transport-equivalent-forms-and-computational-complexity-2108.07992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-multimarginal-partial-optimal-transport-equivalent-forms-and-computational-complexity-2108.07992"/></url>
<url><loc>https://scifaro.com/en/abs/combining-k-means-type-algorithms-with-hill-climbing-for-joint-stratification-and-sample-allocation-designs-2108.08038</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-k-means-type-algorithms-with-hill-climbing-for-joint-stratification-and-sample-allocation-designs-2108.08038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-k-means-type-algorithms-with-hill-climbing-for-joint-stratification-and-sample-allocation-designs-2108.08038"/></url>
<url><loc>https://scifaro.com/en/abs/moser-flow-divergence-based-generative-modeling-on-manifolds-2108.08052</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moser-flow-divergence-based-generative-modeling-on-manifolds-2108.08052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moser-flow-divergence-based-generative-modeling-on-manifolds-2108.08052"/></url>
<url><loc>https://scifaro.com/en/abs/quantitative-uniform-stability-of-the-iterative-proportional-fitting-procedure-2108.08129</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantitative-uniform-stability-of-the-iterative-proportional-fitting-procedure-2108.08129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantitative-uniform-stability-of-the-iterative-proportional-fitting-procedure-2108.08129"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-dynamics-on-graphs-from-spectral-clustering-to-mean-shift-through-fokker-planck-interpolation-2108.08687</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-dynamics-on-graphs-from-spectral-clustering-to-mean-shift-through-fokker-planck-interpolation-2108.08687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-dynamics-on-graphs-from-spectral-clustering-to-mean-shift-through-fokker-planck-interpolation-2108.08687"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-an-assessment-of-the-kernel-target-alignment-in-tree-ensemble-kernel-learning-2108.08752</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-an-assessment-of-the-kernel-target-alignment-in-tree-ensemble-kernel-learning-2108.08752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-an-assessment-of-the-kernel-target-alignment-in-tree-ensemble-kernel-learning-2108.08752"/></url>
<url><loc>https://scifaro.com/en/abs/structure-learning-for-directed-trees-2108.08871</loc><lastmod>2022-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-learning-for-directed-trees-2108.08871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-learning-for-directed-trees-2108.08871"/></url>
<url><loc>https://scifaro.com/en/abs/local-latin-hypercube-refinement-for-multi-objective-design-uncertainty-optimization-2108.08890</loc><lastmod>2022-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-latin-hypercube-refinement-for-multi-objective-design-uncertainty-optimization-2108.08890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-latin-hypercube-refinement-for-multi-objective-design-uncertainty-optimization-2108.08890"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-robust-learning-2108.08993</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-robust-learning-2108.08993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-robust-learning-2108.08993"/></url>
<url><loc>https://scifaro.com/en/abs/state-of-the-art-algorithms-for-low-rank-dynamic-mode-decomposition-2108.09160</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/state-of-the-art-algorithms-for-low-rank-dynamic-mode-decomposition-2108.09160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/state-of-the-art-algorithms-for-low-rank-dynamic-mode-decomposition-2108.09160"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-order-simple-regret-for-gaussian-process-bandits-2108.09262</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-order-simple-regret-for-gaussian-process-bandits-2108.09262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-order-simple-regret-for-gaussian-process-bandits-2108.09262"/></url>
<url><loc>https://scifaro.com/en/abs/shift-curvature-sgd-and-generalization-2108.09507</loc><lastmod>2022-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shift-curvature-sgd-and-generalization-2108.09507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shift-curvature-sgd-and-generalization-2108.09507"/></url>
<url><loc>https://scifaro.com/en/abs/improving-mini-batch-optimal-transport-via-partial-transportation-2108.09645</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-mini-batch-optimal-transport-via-partial-transportation-2108.09645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-mini-batch-optimal-transport-via-partial-transportation-2108.09645"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-time-evolving-covid-19-uncertainties-with-density-dependent-asymptomatic-infections-and-social-reinforcement-2108.10029</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-time-evolving-covid-19-uncertainties-with-density-dependent-asymptomatic-infections-and-social-reinforcement-2108.10029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-time-evolving-covid-19-uncertainties-with-density-dependent-asymptomatic-infections-and-social-reinforcement-2108.10029"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-treatment-recommendation-with-deep-survival-dose-response-function-2108.10453</loc><lastmod>2023-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-treatment-recommendation-with-deep-survival-dose-response-function-2108.10453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-treatment-recommendation-with-deep-survival-dose-response-function-2108.10453"/></url>
<url><loc>https://scifaro.com/en/abs/grade-a-graph-based-data-driven-solver-for-time-dependent-nonlinear-partial-differential-equations-2108.10639</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grade-a-graph-based-data-driven-solver-for-time-dependent-nonlinear-partial-differential-equations-2108.10639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grade-a-graph-based-data-driven-solver-for-time-dependent-nonlinear-partial-differential-equations-2108.10639"/></url>
<url><loc>https://scifaro.com/en/abs/s-p-500-stock-price-prediction-using-technical-fundamental-and-text-data-2108.10826</loc><lastmod>2021-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/s-p-500-stock-price-prediction-using-technical-fundamental-and-text-data-2108.10826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/s-p-500-stock-price-prediction-using-technical-fundamental-and-text-data-2108.10826"/></url>
<url><loc>https://scifaro.com/en/abs/physics-informed-deep-learning-a-promising-technique-for-system-reliability-assessment-2108.10828</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-deep-learning-a-promising-technique-for-system-reliability-assessment-2108.10828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-deep-learning-a-promising-technique-for-system-reliability-assessment-2108.10828"/></url>
<url><loc>https://scifaro.com/en/abs/mitigating-statistical-bias-within-differentially-private-synthetic-data-2108.10934</loc><lastmod>2022-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mitigating-statistical-bias-within-differentially-private-synthetic-data-2108.10934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mitigating-statistical-bias-within-differentially-private-synthetic-data-2108.10934"/></url>
<url><loc>https://scifaro.com/en/abs/layer-adaptive-node-selection-in-bayesian-neural-networks-statistical-guarantees-and-implementation-details-2108.11000</loc><lastmod>2023-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/layer-adaptive-node-selection-in-bayesian-neural-networks-statistical-guarantees-and-implementation-details-2108.11000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/layer-adaptive-node-selection-in-bayesian-neural-networks-statistical-guarantees-and-implementation-details-2108.11000"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-acoustic-emission-data-streams-with-sequentially-appearing-clusters-using-mixture-models-2108.11211</loc><lastmod>2022-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-acoustic-emission-data-streams-with-sequentially-appearing-clusters-using-mixture-models-2108.11211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-acoustic-emission-data-streams-with-sequentially-appearing-clusters-using-mixture-models-2108.11211"/></url>
<url><loc>https://scifaro.com/en/abs/the-effect-of-noise-level-on-causal-identification-with-additive-noise-models-2108.11320</loc><lastmod>2021-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-effect-of-noise-level-on-causal-identification-with-additive-noise-models-2108.11320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-effect-of-noise-level-on-causal-identification-with-additive-noise-models-2108.11320"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-census-survey-response-rates-with-parsimonious-additive-models-and-structured-interactions-2108.11328</loc><lastmod>2025-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-census-survey-response-rates-with-parsimonious-additive-models-and-structured-interactions-2108.11328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-census-survey-response-rates-with-parsimonious-additive-models-and-structured-interactions-2108.11328"/></url>
<url><loc>https://scifaro.com/en/abs/the-interplay-between-implicit-bias-and-benign-overfitting-in-two-layer-linear-networks-2108.11489</loc><lastmod>2022-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-interplay-between-implicit-bias-and-benign-overfitting-in-two-layer-linear-networks-2108.11489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-interplay-between-implicit-bias-and-benign-overfitting-in-two-layer-linear-networks-2108.11489"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-riemannian-distances-between-covariance-operators-and-gaussian-processes-2108.11683</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-riemannian-distances-between-covariance-operators-and-gaussian-processes-2108.11683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-riemannian-distances-between-covariance-operators-and-gaussian-processes-2108.11683"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-dictionary-learning-and-tomographic-image-reconstruction-2108.11730</loc><lastmod>2023-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-dictionary-learning-and-tomographic-image-reconstruction-2108.11730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-dictionary-learning-and-tomographic-image-reconstruction-2108.11730"/></url>
<url><loc>https://scifaro.com/en/abs/a-spatio-temporal-lstm-model-to-forecast-across-multiple-temporal-and-spatial-scales-2108.11875</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-spatio-temporal-lstm-model-to-forecast-across-multiple-temporal-and-spatial-scales-2108.11875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-spatio-temporal-lstm-model-to-forecast-across-multiple-temporal-and-spatial-scales-2108.11875"/></url>
<url><loc>https://scifaro.com/en/abs/targeting-underrepresented-populations-in-precision-medicine-a-federated-transfer-learning-approach-2108.12112</loc><lastmod>2021-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/targeting-underrepresented-populations-in-precision-medicine-a-federated-transfer-learning-approach-2108.12112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/targeting-underrepresented-populations-in-precision-medicine-a-federated-transfer-learning-approach-2108.12112"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-of-approaches-to-improve-worst-case-predictive-model-performance-over-patient-subpopulations-2108.12250</loc><lastmod>2022-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-approaches-to-improve-worst-case-predictive-model-performance-over-patient-subpopulations-2108.12250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-approaches-to-improve-worst-case-predictive-model-performance-over-patient-subpopulations-2108.12250"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-huber-loss-for-robust-learning-and-its-efficient-minimization-for-a-robust-statistics-2108.12627</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-huber-loss-for-robust-learning-and-its-efficient-minimization-for-a-robust-statistics-2108.12627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-huber-loss-for-robust-learning-and-its-efficient-minimization-for-a-robust-statistics-2108.12627"/></url>
<url><loc>https://scifaro.com/en/abs/a-theory-of-representation-learning-gives-a-deep-generalisation-of-kernel-methods-2108.13097</loc><lastmod>2023-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theory-of-representation-learning-gives-a-deep-generalisation-of-kernel-methods-2108.13097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theory-of-representation-learning-gives-a-deep-generalisation-of-kernel-methods-2108.13097"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-the-robustness-of-off-policy-evaluation-2108.13703</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-the-robustness-of-off-policy-evaluation-2108.13703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-the-robustness-of-off-policy-evaluation-2108.13703"/></url>
<url><loc>https://scifaro.com/en/abs/disentanglement-analysis-with-partial-information-decomposition-2108.13753</loc><lastmod>2022-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentanglement-analysis-with-partial-information-decomposition-2108.13753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentanglement-analysis-with-partial-information-decomposition-2108.13753"/></url>
<url><loc>https://scifaro.com/en/abs/look-who-s-talking-interpretable-machine-learning-for-assessing-italian-smes-credit-default-2108.13914</loc><lastmod>2021-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/look-who-s-talking-interpretable-machine-learning-for-assessing-italian-smes-credit-default-2108.13914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/look-who-s-talking-interpretable-machine-learning-for-assessing-italian-smes-credit-default-2108.13914"/></url>
<url><loc>https://scifaro.com/en/abs/decision-tree-based-predictive-models-for-academic-achievement-using-college-students-support-networks-2108.13947</loc><lastmod>2022-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decision-tree-based-predictive-models-for-academic-achievement-using-college-students-support-networks-2108.13947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decision-tree-based-predictive-models-for-academic-achievement-using-college-students-support-networks-2108.13947"/></url>
<url><loc>https://scifaro.com/en/abs/a-subsampling-based-method-for-causal-discovery-on-discrete-data-2108.13984</loc><lastmod>2021-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-subsampling-based-method-for-causal-discovery-on-discrete-data-2108.13984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-subsampling-based-method-for-causal-discovery-on-discrete-data-2108.13984"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-learning-of-forest-and-tree-graphical-models-2108.13992</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-learning-of-forest-and-tree-graphical-models-2108.13992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-learning-of-forest-and-tree-graphical-models-2108.13992"/></url>
<url><loc>https://scifaro.com/en/abs/half-space-and-box-constraints-as-nuv-priors-first-results-2109.00036</loc><lastmod>2021-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/half-space-and-box-constraints-as-nuv-priors-first-results-2109.00036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/half-space-and-box-constraints-as-nuv-priors-first-results-2109.00036"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-spatiotemporally-varying-coefficient-modelling-with-bayesian-kernelized-tensor-regression-2109.00046</loc><lastmod>2024-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-spatiotemporally-varying-coefficient-modelling-with-bayesian-kernelized-tensor-regression-2109.00046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-spatiotemporally-varying-coefficient-modelling-with-bayesian-kernelized-tensor-regression-2109.00046"/></url>
<url><loc>https://scifaro.com/en/abs/fade-fair-double-ensemble-learning-for-observable-and-counterfactual-outcomes-2109.00173</loc><lastmod>2021-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fade-fair-double-ensemble-learning-for-observable-and-counterfactual-outcomes-2109.00173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fade-fair-double-ensemble-learning-for-observable-and-counterfactual-outcomes-2109.00173"/></url>
<url><loc>https://scifaro.com/en/abs/under-bagging-nearest-neighbors-for-imbalanced-classification-2109.00531</loc><lastmod>2021-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/under-bagging-nearest-neighbors-for-imbalanced-classification-2109.00531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/under-bagging-nearest-neighbors-for-imbalanced-classification-2109.00531"/></url>
<url><loc>https://scifaro.com/en/abs/physics-integrated-hybrid-framework-for-model-form-error-identification-in-nonlinear-dynamical-systems-2109.00538</loc><lastmod>2022-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-integrated-hybrid-framework-for-model-form-error-identification-in-nonlinear-dynamical-systems-2109.00538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-integrated-hybrid-framework-for-model-form-error-identification-in-nonlinear-dynamical-systems-2109.00538"/></url>
<url><loc>https://scifaro.com/en/abs/active-inference-and-epistemic-value-in-graphical-models-2109.00541</loc><lastmod>2022-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-inference-and-epistemic-value-in-graphical-models-2109.00541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-inference-and-epistemic-value-in-graphical-models-2109.00541"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-classification-accuracy-a-criterion-that-guides-data-driven-combination-of-ambiguous-outcome-labels-in-multi-class-classification-2109.00582</loc><lastmod>2022-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-classification-accuracy-a-criterion-that-guides-data-driven-combination-of-ambiguous-outcome-labels-in-multi-class-classification-2109.00582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-classification-accuracy-a-criterion-that-guides-data-driven-combination-of-ambiguous-outcome-labels-in-multi-class-classification-2109.00582"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-estimation-and-inference-via-local-sgd-in-federated-learning-2109.01326</loc><lastmod>2021-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-estimation-and-inference-via-local-sgd-in-federated-learning-2109.01326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-estimation-and-inference-via-local-sgd-in-federated-learning-2109.01326"/></url>
<url><loc>https://scifaro.com/en/abs/sample-noise-impact-on-active-learning-2109.01372</loc><lastmod>2022-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-noise-impact-on-active-learning-2109.01372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-noise-impact-on-active-learning-2109.01372"/></url>
<url><loc>https://scifaro.com/en/abs/relating-the-partial-dependence-plot-and-permutation-feature-importance-to-the-data-generating-process-2109.01433</loc><lastmod>2023-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relating-the-partial-dependence-plot-and-permutation-feature-importance-to-the-data-generating-process-2109.01433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relating-the-partial-dependence-plot-and-permutation-feature-importance-to-the-data-generating-process-2109.01433"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-feature-selection-for-multitask-gradient-boosted-trees-2109.01965</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-feature-selection-for-multitask-gradient-boosted-trees-2109.01965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-feature-selection-for-multitask-gradient-boosted-trees-2109.01965"/></url>
<url><loc>https://scifaro.com/en/abs/robust-importance-sampling-for-error-estimation-in-the-context-of-optimal-bayesian-transfer-learning-2109.02150</loc><lastmod>2023-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-importance-sampling-for-error-estimation-in-the-context-of-optimal-bayesian-transfer-learning-2109.02150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-importance-sampling-for-error-estimation-in-the-context-of-optimal-bayesian-transfer-learning-2109.02150"/></url>
<url><loc>https://scifaro.com/en/abs/non-euclidean-analysis-of-joint-variations-in-multi-object-shapes-2109.02230</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-euclidean-analysis-of-joint-variations-in-multi-object-shapes-2109.02230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-euclidean-analysis-of-joint-variations-in-multi-object-shapes-2109.02230"/></url>
<url><loc>https://scifaro.com/en/abs/a-farewell-to-the-bias-variance-tradeoff-an-overview-of-the-theory-of-overparameterized-machine-learning-2109.02355</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-farewell-to-the-bias-variance-tradeoff-an-overview-of-the-theory-of-overparameterized-machine-learning-2109.02355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-farewell-to-the-bias-variance-tradeoff-an-overview-of-the-theory-of-overparameterized-machine-learning-2109.02355"/></url>
<url><loc>https://scifaro.com/en/abs/learning-neural-causal-models-with-active-interventions-2109.02429</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-neural-causal-models-with-active-interventions-2109.02429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-neural-causal-models-with-active-interventions-2109.02429"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-bivariate-structural-causal-models-by-variational-gaussian-process-regression-under-likelihoods-parametrised-by-normalising-flows-2109.02521</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-bivariate-structural-causal-models-by-variational-gaussian-process-regression-under-likelihoods-parametrised-by-normalising-flows-2109.02521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-bivariate-structural-causal-models-by-variational-gaussian-process-regression-under-likelihoods-parametrised-by-normalising-flows-2109.02521"/></url>
<url><loc>https://scifaro.com/en/abs/besov-function-approximation-and-binary-classification-on-low-dimensional-manifolds-using-convolutional-residual-networks-2109.02832</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/besov-function-approximation-and-binary-classification-on-low-dimensional-manifolds-using-convolutional-residual-networks-2109.02832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/besov-function-approximation-and-binary-classification-on-low-dimensional-manifolds-using-convolutional-residual-networks-2109.02832"/></url>
<url><loc>https://scifaro.com/en/abs/instance-dependent-label-noise-learning-under-a-structural-causal-model-2109.02986</loc><lastmod>2022-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instance-dependent-label-noise-learning-under-a-structural-causal-model-2109.02986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instance-dependent-label-noise-learning-under-a-structural-causal-model-2109.02986"/></url>
<url><loc>https://scifaro.com/en/abs/c-minhash-rigorously-reducing-k-permutations-to-two-2109.03337</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/c-minhash-rigorously-reducing-k-permutations-to-two-2109.03337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/c-minhash-rigorously-reducing-k-permutations-to-two-2109.03337"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-multidimensional-discriminator-output-for-generative-adversarial-networks-2109.03378</loc><lastmod>2022-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-multidimensional-discriminator-output-for-generative-adversarial-networks-2109.03378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-multidimensional-discriminator-output-for-generative-adversarial-networks-2109.03378"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-batch-asynchronous-stochastic-approximation-with-applications-to-reinforcement-learning-2109.03445</loc><lastmod>2025-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-batch-asynchronous-stochastic-approximation-with-applications-to-reinforcement-learning-2109.03445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-batch-asynchronous-stochastic-approximation-with-applications-to-reinforcement-learning-2109.03445"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-quantification-and-experimental-design-for-large-scale-linear-inverse-problems-under-gaussian-process-priors-2109.03457</loc><lastmod>2022-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-quantification-and-experimental-design-for-large-scale-linear-inverse-problems-under-gaussian-process-priors-2109.03457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-quantification-and-experimental-design-for-large-scale-linear-inverse-problems-under-gaussian-process-priors-2109.03457"/></url>
<url><loc>https://scifaro.com/en/abs/higher-order-kernel-mean-embeddings-to-capture-filtrations-of-stochastic-processes-2109.03582</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/higher-order-kernel-mean-embeddings-to-capture-filtrations-of-stochastic-processes-2109.03582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/higher-order-kernel-mean-embeddings-to-capture-filtrations-of-stochastic-processes-2109.03582"/></url>
<url><loc>https://scifaro.com/en/abs/desiderata-for-representation-learning-a-causal-perspective-2109.03795</loc><lastmod>2022-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/desiderata-for-representation-learning-a-causal-perspective-2109.03795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/desiderata-for-representation-learning-a-causal-perspective-2109.03795"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-hypotheses-space-from-data-through-a-u-curve-algorithm-2109.03866</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-hypotheses-space-from-data-through-a-u-curve-algorithm-2109.03866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-hypotheses-space-from-data-through-a-u-curve-algorithm-2109.03866"/></url>
<url><loc>https://scifaro.com/en/abs/popularity-adjusted-block-models-are-generalized-random-dot-product-graphs-2109.04010</loc><lastmod>2022-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/popularity-adjusted-block-models-are-generalized-random-dot-product-graphs-2109.04010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/popularity-adjusted-block-models-are-generalized-random-dot-product-graphs-2109.04010"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-linear-dimension-reduction-methods-review-extensions-and-comparisons-2109.04244</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-linear-dimension-reduction-methods-review-extensions-and-comparisons-2109.04244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-linear-dimension-reduction-methods-review-extensions-and-comparisons-2109.04244"/></url>
<url><loc>https://scifaro.com/en/abs/importance-sampling-based-active-learning-for-parametric-seismic-fragility-curve-estimation-2109.04323</loc><lastmod>2022-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-sampling-based-active-learning-for-parametric-seismic-fragility-curve-estimation-2109.04323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-sampling-based-active-learning-for-parametric-seismic-fragility-curve-estimation-2109.04323"/></url>
<url><loc>https://scifaro.com/en/abs/extreme-bandits-using-robust-statistics-2109.04433</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extreme-bandits-using-robust-statistics-2109.04433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extreme-bandits-using-robust-statistics-2109.04433"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-massive-spatial-datasets-using-a-conjugate-bayesian-linear-regression-framework-2109.04447</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-massive-spatial-datasets-using-a-conjugate-bayesian-linear-regression-framework-2109.04447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-massive-spatial-datasets-using-a-conjugate-bayesian-linear-regression-framework-2109.04447"/></url>
<url><loc>https://scifaro.com/en/abs/ergodic-limits-relaxations-and-geometric-properties-of-random-walk-node-embeddings-2109.04526</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ergodic-limits-relaxations-and-geometric-properties-of-random-walk-node-embeddings-2109.04526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ergodic-limits-relaxations-and-geometric-properties-of-random-walk-node-embeddings-2109.04526"/></url>
<url><loc>https://scifaro.com/en/abs/supervising-the-decoder-of-variational-autoencoders-to-improve-scientific-utility-2109.04561</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervising-the-decoder-of-variational-autoencoders-to-improve-scientific-utility-2109.04561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervising-the-decoder-of-variational-autoencoders-to-improve-scientific-utility-2109.04561"/></url>
<url><loc>https://scifaro.com/en/abs/differential-privacy-in-personalized-pricing-with-nonparametric-demand-models-2109.04615</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differential-privacy-in-personalized-pricing-with-nonparametric-demand-models-2109.04615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differential-privacy-in-personalized-pricing-with-nonparametric-demand-models-2109.04615"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-for-latent-budget-analysis-of-compositional-data-2109.04875</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-for-latent-budget-analysis-of-compositional-data-2109.04875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-for-latent-budget-analysis-of-compositional-data-2109.04875"/></url>
<url><loc>https://scifaro.com/en/abs/best-arm-identification-in-correlated-multi-armed-bandits-2109.04941</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/best-arm-identification-in-correlated-multi-armed-bandits-2109.04941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/best-arm-identification-in-correlated-multi-armed-bandits-2109.04941"/></url>
<url><loc>https://scifaro.com/en/abs/near-instance-optimal-model-selection-for-pure-exploration-linear-bandits-2109.05131</loc><lastmod>2022-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-instance-optimal-model-selection-for-pure-exploration-linear-bandits-2109.05131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-instance-optimal-model-selection-for-pure-exploration-linear-bandits-2109.05131"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-local-average-treatment-effect-by-data-combination-2109.05175</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-local-average-treatment-effect-by-data-combination-2109.05175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-local-average-treatment-effect-by-data-combination-2109.05175"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-topic-regression-for-causal-inference-2109.05317</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-topic-regression-for-causal-inference-2109.05317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-topic-regression-for-causal-inference-2109.05317"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-variable-selection-via-the-knockoff-filter-2109.05402</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-variable-selection-via-the-knockoff-filter-2109.05402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-variable-selection-via-the-knockoff-filter-2109.05402"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-pca-with-the-nystr-om-method-2109.05578</loc><lastmod>2022-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-pca-with-the-nystr-om-method-2109.05578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-pca-with-the-nystr-om-method-2109.05578"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-componentwise-boosting-an-interpretable-automl-system-2109.05583</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-componentwise-boosting-an-interpretable-automl-system-2109.05583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-componentwise-boosting-an-interpretable-automl-system-2109.05583"/></url>
<url><loc>https://scifaro.com/en/abs/inferential-wasserstein-generative-adversarial-networks-2109.05652</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferential-wasserstein-generative-adversarial-networks-2109.05652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferential-wasserstein-generative-adversarial-networks-2109.05652"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-matrix-recovery-using-optimization-on-the-grassmann-manifold-2109.06095</loc><lastmod>2022-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-matrix-recovery-using-optimization-on-the-grassmann-manifold-2109.06095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-matrix-recovery-using-optimization-on-the-grassmann-manifold-2109.06095"/></url>
<url><loc>https://scifaro.com/en/abs/tuna-ai-tuna-biomass-estimation-with-machine-learning-models-trained-on-oceanography-and-echosounder-fad-data-2109.06732</loc><lastmod>2022-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tuna-ai-tuna-biomass-estimation-with-machine-learning-models-trained-on-oceanography-and-echosounder-fad-data-2109.06732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tuna-ai-tuna-biomass-estimation-with-machine-learning-models-trained-on-oceanography-and-echosounder-fad-data-2109.06732"/></url>
<url><loc>https://scifaro.com/en/abs/a-geometric-perspective-on-functional-outlier-detection-2109.06849</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-geometric-perspective-on-functional-outlier-detection-2109.06849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-geometric-perspective-on-functional-outlier-detection-2109.06849"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-decision-making-with-data-optimal-formulations-and-phase-transitions-2109.06911</loc><lastmod>2024-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-decision-making-with-data-optimal-formulations-and-phase-transitions-2109.06911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-decision-making-with-data-optimal-formulations-and-phase-transitions-2109.06911"/></url>
<url><loc>https://scifaro.com/en/abs/targeted-cross-validation-2109.06949</loc><lastmod>2022-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/targeted-cross-validation-2109.06949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/targeted-cross-validation-2109.06949"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-free-contextual-dynamic-pricing-2109.07340</loc><lastmod>2023-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-free-contextual-dynamic-pricing-2109.07340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-free-contextual-dynamic-pricing-2109.07340"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-use-kl-divergence-to-construct-conjugate-priors-with-well-defined-non-informative-limits-for-the-multivariate-gaussian-2109.07384</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-use-kl-divergence-to-construct-conjugate-priors-with-well-defined-non-informative-limits-for-the-multivariate-gaussian-2109.07384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-use-kl-divergence-to-construct-conjugate-priors-with-well-defined-non-informative-limits-for-the-multivariate-gaussian-2109.07384"/></url>
<url><loc>https://scifaro.com/en/abs/rawanet-enriching-graph-neural-network-input-via-random-walks-on-graphs-2109.07555</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rawanet-enriching-graph-neural-network-input-via-random-walks-on-graphs-2109.07555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rawanet-enriching-graph-neural-network-input-via-random-walks-on-graphs-2109.07555"/></url>
<url><loc>https://scifaro.com/en/abs/directed-degree-corrected-mixed-membership-model-and-estimating-community-memberships-in-directed-networks-2109.07826</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/directed-degree-corrected-mixed-membership-model-and-estimating-community-memberships-in-directed-networks-2109.07826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/directed-degree-corrected-mixed-membership-model-and-estimating-community-memberships-in-directed-networks-2109.07826"/></url>
<url><loc>https://scifaro.com/en/abs/frame-by-frame-completion-probability-of-an-nfl-pass-2109.08051</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frame-by-frame-completion-probability-of-an-nfl-pass-2109.08051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frame-by-frame-completion-probability-of-an-nfl-pass-2109.08051"/></url>
<url><loc>https://scifaro.com/en/abs/adaloss-a-computationally-efficient-and-provably-convergent-adaptive-gradient-method-2109.08282</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaloss-a-computationally-efficient-and-provably-convergent-adaptive-gradient-method-2109.08282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaloss-a-computationally-efficient-and-provably-convergent-adaptive-gradient-method-2109.08282"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-is-reward-learning-optimal-exploration-by-predictive-reward-cashing-2109.08518</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-is-reward-learning-optimal-exploration-by-predictive-reward-cashing-2109.08518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-is-reward-learning-optimal-exploration-by-predictive-reward-cashing-2109.08518"/></url>
<url><loc>https://scifaro.com/en/abs/near-minimax-optimal-estimation-with-shallow-relu-neural-networks-2109.08844</loc><lastmod>2023-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-minimax-optimal-estimation-with-shallow-relu-neural-networks-2109.08844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-minimax-optimal-estimation-with-shallow-relu-neural-networks-2109.08844"/></url>
<url><loc>https://scifaro.com/en/abs/coordinate-descent-for-mcp-scad-penalized-least-squares-converges-linearly-2109.08850</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coordinate-descent-for-mcp-scad-penalized-least-squares-converges-linearly-2109.08850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coordinate-descent-for-mcp-scad-penalized-least-squares-converges-linearly-2109.08850"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-approach-for-measuring-the-fairness-in-asr-2109.09061</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-approach-for-measuring-the-fairness-in-asr-2109.09061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-approach-for-measuring-the-fairness-in-asr-2109.09061"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-ensemble-construction-for-multi-study-prediction-with-applications-to-covid-19-excess-mortality-estimation-2109.09164</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-ensemble-construction-for-multi-study-prediction-with-applications-to-covid-19-excess-mortality-estimation-2109.09164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-ensemble-construction-for-multi-study-prediction-with-applications-to-covid-19-excess-mortality-estimation-2109.09164"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-multi-task-gaussian-processes-with-neural-embedding-of-coregionalization-2109.09261</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-multi-task-gaussian-processes-with-neural-embedding-of-coregionalization-2109.09261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-multi-task-gaussian-processes-with-neural-embedding-of-coregionalization-2109.09261"/></url>
<url><loc>https://scifaro.com/en/abs/barely-biased-learning-for-gaussian-process-regression-2109.09417</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/barely-biased-learning-for-gaussian-process-regression-2109.09417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/barely-biased-learning-for-gaussian-process-regression-2109.09417"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-estimation-and-goodness-of-fit-for-large-scale-confirmatory-item-factor-analysis-2109.09500</loc><lastmod>2023-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-estimation-and-goodness-of-fit-for-large-scale-confirmatory-item-factor-analysis-2109.09500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-estimation-and-goodness-of-fit-for-large-scale-confirmatory-item-factor-analysis-2109.09500"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-neural-networks-with-reproducing-kernel-banach-spaces-2109.09710</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-neural-networks-with-reproducing-kernel-banach-spaces-2109.09710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-neural-networks-with-reproducing-kernel-banach-spaces-2109.09710"/></url>
<url><loc>https://scifaro.com/en/abs/signal-classification-using-smooth-coefficients-of-multiple-wavelets-2109.09988</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/signal-classification-using-smooth-coefficients-of-multiple-wavelets-2109.09988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/signal-classification-using-smooth-coefficients-of-multiple-wavelets-2109.09988"/></url>
<url><loc>https://scifaro.com/en/abs/community-detection-for-weighted-bipartite-networks-2109.10319</loc><lastmod>2023-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/community-detection-for-weighted-bipartite-networks-2109.10319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/community-detection-for-weighted-bipartite-networks-2109.10319"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-online-machine-learning-2109.10452</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-online-machine-learning-2109.10452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-online-machine-learning-2109.10452"/></url>
<url><loc>https://scifaro.com/en/abs/sharp-analysis-of-random-fourier-features-in-classification-2109.10623</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sharp-analysis-of-random-fourier-features-in-classification-2109.10623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sharp-analysis-of-random-fourier-features-in-classification-2109.10623"/></url>
<url><loc>https://scifaro.com/en/abs/a-latent-restoring-force-approach-to-nonlinear-system-identification-2109.10681</loc><lastmod>2022-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-latent-restoring-force-approach-to-nonlinear-system-identification-2109.10681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-latent-restoring-force-approach-to-nonlinear-system-identification-2109.10681"/></url>
<url><loc>https://scifaro.com/en/abs/entropic-issues-in-likelihood-based-ood-detection-2109.10794</loc><lastmod>2023-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropic-issues-in-likelihood-based-ood-detection-2109.10794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropic-issues-in-likelihood-based-ood-detection-2109.10794"/></url>
<url><loc>https://scifaro.com/en/abs/a-robust-asymmetric-kernel-function-for-bayesian-optimization-with-application-to-image-defect-detection-in-manufacturing-systems-2109.10898</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-robust-asymmetric-kernel-function-for-bayesian-optimization-with-application-to-image-defect-detection-in-manufacturing-systems-2109.10898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-robust-asymmetric-kernel-function-for-bayesian-optimization-with-application-to-image-defect-detection-in-manufacturing-systems-2109.10898"/></url>
<url><loc>https://scifaro.com/en/abs/causal-discovery-in-high-dimensional-point-process-networks-with-hidden-nodes-2109.10947</loc><lastmod>2021-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-discovery-in-high-dimensional-point-process-networks-with-hidden-nodes-2109.10947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-discovery-in-high-dimensional-point-process-networks-with-hidden-nodes-2109.10947"/></url>
<url><loc>https://scifaro.com/en/abs/on-optimal-robustness-to-adversarial-corruption-in-online-decision-problems-2109.10963</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-optimal-robustness-to-adversarial-corruption-in-online-decision-problems-2109.10963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-optimal-robustness-to-adversarial-corruption-in-online-decision-problems-2109.10963"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-low-rank-matrix-approximation-and-acceleration-2109.11057</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-low-rank-matrix-approximation-and-acceleration-2109.11057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-low-rank-matrix-approximation-and-acceleration-2109.11057"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-performance-analysis-using-a-new-correlation-based-cluster-validity-index-2109.11172</loc><lastmod>2024-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-performance-analysis-using-a-new-correlation-based-cluster-validity-index-2109.11172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-performance-analysis-using-a-new-correlation-based-cluster-validity-index-2109.11172"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-efficient-mmd-based-fair-pca-via-optimization-over-stiefel-manifold-2109.11196</loc><lastmod>2022-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-efficient-mmd-based-fair-pca-via-optimization-over-stiefel-manifold-2109.11196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-efficient-mmd-based-fair-pca-via-optimization-over-stiefel-manifold-2109.11196"/></url>
<url><loc>https://scifaro.com/en/abs/safe-policy-learning-through-extrapolation-application-to-pre-trial-risk-assessment-2109.11679</loc><lastmod>2025-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-policy-learning-through-extrapolation-application-to-pre-trial-risk-assessment-2109.11679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-policy-learning-through-extrapolation-application-to-pre-trial-risk-assessment-2109.11679"/></url>
<url><loc>https://scifaro.com/en/abs/dimension-reduction-for-data-with-heterogeneous-missingness-2109.11765</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimension-reduction-for-data-with-heterogeneous-missingness-2109.11765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimension-reduction-for-data-with-heterogeneous-missingness-2109.11765"/></url>
<url><loc>https://scifaro.com/en/abs/is-the-number-of-trainable-parameters-all-that-actually-matters-2109.11928</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-the-number-of-trainable-parameters-all-that-actually-matters-2109.11928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-the-number-of-trainable-parameters-all-that-actually-matters-2109.11928"/></url>
<url><loc>https://scifaro.com/en/abs/deep-bayesian-estimation-for-dynamic-treatment-regimes-with-a-long-follow-up-time-2109.11929</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-bayesian-estimation-for-dynamic-treatment-regimes-with-a-long-follow-up-time-2109.11929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-bayesian-estimation-for-dynamic-treatment-regimes-with-a-long-follow-up-time-2109.11929"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-pdes-from-multiple-experiments-2109.11939</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-pdes-from-multiple-experiments-2109.11939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-pdes-from-multiple-experiments-2109.11939"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-policy-evaluation-using-kernel-based-temporal-difference-methods-2109.12002</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-policy-evaluation-using-kernel-based-temporal-difference-methods-2109.12002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-policy-evaluation-using-kernel-based-temporal-difference-methods-2109.12002"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-distributional-differences-in-convective-evolution-prior-to-rapid-intensification-in-tropical-cyclones-2109.12029</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-distributional-differences-in-convective-evolution-prior-to-rapid-intensification-in-tropical-cyclones-2109.12029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-distributional-differences-in-convective-evolution-prior-to-rapid-intensification-in-tropical-cyclones-2109.12029"/></url>
<url><loc>https://scifaro.com/en/abs/combining-discrete-choice-models-and-neural-networks-through-embeddings-formulation-interpretability-and-performance-2109.12042</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-discrete-choice-models-and-neural-networks-through-embeddings-formulation-interpretability-and-performance-2109.12042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-discrete-choice-models-and-neural-networks-through-embeddings-formulation-interpretability-and-performance-2109.12042"/></url>
<url><loc>https://scifaro.com/en/abs/a-spatiotemporal-machine-learning-approach-to-forecasting-covid-19-incidence-at-the-county-level-in-the-usa-2109.12094</loc><lastmod>2022-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-spatiotemporal-machine-learning-approach-to-forecasting-covid-19-incidence-at-the-county-level-in-the-usa-2109.12094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-spatiotemporal-machine-learning-approach-to-forecasting-covid-19-incidence-at-the-county-level-in-the-usa-2109.12094"/></url>
<url><loc>https://scifaro.com/en/abs/equality-of-opportunity-in-travel-behavior-prediction-with-deep-neural-networks-and-discrete-choice-models-2109.12422</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equality-of-opportunity-in-travel-behavior-prediction-with-deep-neural-networks-and-discrete-choice-models-2109.12422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equality-of-opportunity-in-travel-behavior-prediction-with-deep-neural-networks-and-discrete-choice-models-2109.12422"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-plus-low-rank-matrix-decomposition-a-discrete-optimization-approach-2109.12701</loc><lastmod>2023-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-plus-low-rank-matrix-decomposition-a-discrete-optimization-approach-2109.12701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-plus-low-rank-matrix-decomposition-a-discrete-optimization-approach-2109.12701"/></url>
<url><loc>https://scifaro.com/en/abs/provable-low-rank-plus-sparse-matrix-separation-via-nonconvex-regularizers-2109.12713</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-low-rank-plus-sparse-matrix-separation-via-nonconvex-regularizers-2109.12713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-low-rank-plus-sparse-matrix-separation-via-nonconvex-regularizers-2109.12713"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-robust-multiclass-classification-and-applications-in-deep-image-classifiers-2109.12772</loc><lastmod>2023-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-robust-multiclass-classification-and-applications-in-deep-image-classifiers-2109.12772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-robust-multiclass-classification-and-applications-in-deep-image-classifiers-2109.12772"/></url>
<url><loc>https://scifaro.com/en/abs/probability-distribution-on-full-rooted-trees-2109.12825</loc><lastmod>2022-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probability-distribution-on-full-rooted-trees-2109.12825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probability-distribution-on-full-rooted-trees-2109.12825"/></url>
<url><loc>https://scifaro.com/en/abs/ridgeless-interpolation-with-shallow-relu-networks-in-1d-is-nearest-neighbor-curvature-extrapolation-and-provably-generalizes-on-lipschitz-functions-2109.12960</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ridgeless-interpolation-with-shallow-relu-networks-in-1d-is-nearest-neighbor-curvature-extrapolation-and-provably-generalizes-on-lipschitz-functions-2109.12960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ridgeless-interpolation-with-shallow-relu-networks-in-1d-is-nearest-neighbor-curvature-extrapolation-and-provably-generalizes-on-lipschitz-functions-2109.12960"/></url>
<url><loc>https://scifaro.com/en/abs/optimising-for-interpretability-convolutional-dynamic-alignment-networks-2109.13004</loc><lastmod>2024-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimising-for-interpretability-convolutional-dynamic-alignment-networks-2109.13004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimising-for-interpretability-convolutional-dynamic-alignment-networks-2109.13004"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-mixing-time-of-the-metropolis-adjusted-langevin-algorithm-for-log-concave-sampling-2109.13055</loc><lastmod>2022-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-mixing-time-of-the-metropolis-adjusted-langevin-algorithm-for-log-concave-sampling-2109.13055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-mixing-time-of-the-metropolis-adjusted-langevin-algorithm-for-log-concave-sampling-2109.13055"/></url>
<url><loc>https://scifaro.com/en/abs/multi-way-clustering-and-discordance-analysis-through-deep-collective-matrix-tri-factorization-2109.13164</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-way-clustering-and-discordance-analysis-through-deep-collective-matrix-tri-factorization-2109.13164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-way-clustering-and-discordance-analysis-through-deep-collective-matrix-tri-factorization-2109.13164"/></url>
<url><loc>https://scifaro.com/en/abs/contributions-to-large-scale-bayesian-inference-and-adversarial-machine-learning-2109.13232</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contributions-to-large-scale-bayesian-inference-and-adversarial-machine-learning-2109.13232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contributions-to-large-scale-bayesian-inference-and-adversarial-machine-learning-2109.13232"/></url>
<url><loc>https://scifaro.com/en/abs/improved-prediction-rule-ensembling-through-model-based-data-generation-2109.13672</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-prediction-rule-ensembling-through-model-based-data-generation-2109.13672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-prediction-rule-ensembling-through-model-based-data-generation-2109.13672"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-processes-to-speed-up-mcmc-with-automatic-exploratory-exploitation-effect-2109.13891</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-processes-to-speed-up-mcmc-with-automatic-exploratory-exploitation-effect-2109.13891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-processes-to-speed-up-mcmc-with-automatic-exploratory-exploitation-effect-2109.13891"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-algorithms-for-generalized-mixed-effects-model-glmm-on-horizontally-partitioned-data-from-distributed-sources-2109.14046</loc><lastmod>2022-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-algorithms-for-generalized-mixed-effects-model-glmm-on-horizontally-partitioned-data-from-distributed-sources-2109.14046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-algorithms-for-generalized-mixed-effects-model-glmm-on-horizontally-partitioned-data-from-distributed-sources-2109.14046"/></url>
<url><loc>https://scifaro.com/en/abs/non-stationary-gaussian-process-discriminant-analysis-with-variable-selection-for-high-dimensional-functional-data-2109.14171</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-stationary-gaussian-process-discriminant-analysis-with-variable-selection-for-high-dimensional-functional-data-2109.14171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-stationary-gaussian-process-discriminant-analysis-with-variable-selection-for-high-dimensional-functional-data-2109.14171"/></url>
<url><loc>https://scifaro.com/en/abs/exact-statistical-inference-for-the-wasserstein-distance-by-selective-inference-2109.14206</loc><lastmod>2022-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-statistical-inference-for-the-wasserstein-distance-by-selective-inference-2109.14206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-statistical-inference-for-the-wasserstein-distance-by-selective-inference-2109.14206"/></url>
<url><loc>https://scifaro.com/en/abs/spread-flows-for-manifold-modelling-2109.14216</loc><lastmod>2023-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spread-flows-for-manifold-modelling-2109.14216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spread-flows-for-manifold-modelling-2109.14216"/></url>
<url><loc>https://scifaro.com/en/abs/a-gradient-based-variable-selection-for-binary-classification-in-reproducing-kernel-hilbert-space-2109.14282</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-gradient-based-variable-selection-for-binary-classification-in-reproducing-kernel-hilbert-space-2109.14282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-gradient-based-variable-selection-for-binary-classification-in-reproducing-kernel-hilbert-space-2109.14282"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-theory-of-out-of-distribution-learning-2109.14501</loc><lastmod>2024-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-theory-of-out-of-distribution-learning-2109.14501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-theory-of-out-of-distribution-learning-2109.14501"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-generative-copulas-2109.14567</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-generative-copulas-2109.14567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-generative-copulas-2109.14567"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-distance-measures-for-time-series-random-fields-and-other-structured-data-2109.14752</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-distance-measures-for-time-series-random-fields-and-other-structured-data-2109.14752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-distance-measures-for-time-series-random-fields-and-other-structured-data-2109.14752"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-regression-with-doubly-non-negative-weighting-matrices-2109.14875</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-regression-with-doubly-non-negative-weighting-matrices-2109.14875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-regression-with-doubly-non-negative-weighting-matrices-2109.14875"/></url>
<url><loc>https://scifaro.com/en/abs/extracting-stochastic-dynamical-systems-with-alpha-stable-l-evy-noise-from-data-2109.14881</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extracting-stochastic-dynamical-systems-with-alpha-stable-l-evy-noise-from-data-2109.14881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extracting-stochastic-dynamical-systems-with-alpha-stable-l-evy-noise-from-data-2109.14881"/></url>
<url><loc>https://scifaro.com/en/abs/towards-principled-causal-effect-estimation-by-deep-identifiable-models-2109.15062</loc><lastmod>2022-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-principled-causal-effect-estimation-by-deep-identifiable-models-2109.15062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-principled-causal-effect-estimation-by-deep-identifiable-models-2109.15062"/></url>
<url><loc>https://scifaro.com/en/abs/variational-marginal-particle-filters-2109.15134</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-marginal-particle-filters-2109.15134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-marginal-particle-filters-2109.15134"/></url>
<url><loc>https://scifaro.com/en/abs/lagrangian-inference-for-ranking-problems-2110.00151</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lagrangian-inference-for-ranking-problems-2110.00151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lagrangian-inference-for-ranking-problems-2110.00151"/></url>
<url><loc>https://scifaro.com/en/abs/tyxe-pyro-based-bayesian-neural-nets-for-pytorch-2110.00276</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tyxe-pyro-based-bayesian-neural-nets-for-pytorch-2110.00276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tyxe-pyro-based-bayesian-neural-nets-for-pytorch-2110.00276"/></url>
<url><loc>https://scifaro.com/en/abs/powerpropagation-a-sparsity-inducing-weight-reparameterisation-2110.00296</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/powerpropagation-a-sparsity-inducing-weight-reparameterisation-2110.00296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/powerpropagation-a-sparsity-inducing-weight-reparameterisation-2110.00296"/></url>
<url><loc>https://scifaro.com/en/abs/smooth-normalizing-flows-2110.00351</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smooth-normalizing-flows-2110.00351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smooth-normalizing-flows-2110.00351"/></url>
<url><loc>https://scifaro.com/en/abs/sim-and-real-better-together-2110.00445</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sim-and-real-better-together-2110.00445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sim-and-real-better-together-2110.00445"/></url>
<url><loc>https://scifaro.com/en/abs/score-based-generative-classifiers-2110.00473</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/score-based-generative-classifiers-2110.00473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/score-based-generative-classifiers-2110.00473"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-consumer-purchasing-decision-in-the-online-food-delivery-industry-2110.00502</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-consumer-purchasing-decision-in-the-online-food-delivery-industry-2110.00502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-consumer-purchasing-decision-in-the-online-food-delivery-industry-2110.00502"/></url>
<url><loc>https://scifaro.com/en/abs/a-cram-er-distance-perspective-on-quantile-regression-based-distributional-reinforcement-learning-2110.00535</loc><lastmod>2022-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-cram-er-distance-perspective-on-quantile-regression-based-distributional-reinforcement-learning-2110.00535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-cram-er-distance-perspective-on-quantile-regression-based-distributional-reinforcement-learning-2110.00535"/></url>
<url><loc>https://scifaro.com/en/abs/weight-vector-tuning-and-asymptotic-analysis-of-binary-linear-classifiers-2110.00567</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weight-vector-tuning-and-asymptotic-analysis-of-binary-linear-classifiers-2110.00567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weight-vector-tuning-and-asymptotic-analysis-of-binary-linear-classifiers-2110.00567"/></url>
<url><loc>https://scifaro.com/en/abs/delayed-rejection-hamiltonian-monte-carlo-for-sampling-multiscale-distributions-2110.00610</loc><lastmod>2023-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/delayed-rejection-hamiltonian-monte-carlo-for-sampling-multiscale-distributions-2110.00610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/delayed-rejection-hamiltonian-monte-carlo-for-sampling-multiscale-distributions-2110.00610"/></url>
<url><loc>https://scifaro.com/en/abs/factored-couplings-in-multi-marginal-optimal-transport-via-difference-of-convex-programming-2110.00629</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factored-couplings-in-multi-marginal-optimal-transport-via-difference-of-convex-programming-2110.00629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factored-couplings-in-multi-marginal-optimal-transport-via-difference-of-convex-programming-2110.00629"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-deep-learning-a-new-framework-immune-to-local-traps-and-miscalibration-2110.00653</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-deep-learning-a-new-framework-immune-to-local-traps-and-miscalibration-2110.00653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-deep-learning-a-new-framework-immune-to-local-traps-and-miscalibration-2110.00653"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-gaussian-process-models-for-regression-discontinuity-kink-under-sharp-and-fuzzy-designs-2110.00921</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-gaussian-process-models-for-regression-discontinuity-kink-under-sharp-and-fuzzy-designs-2110.00921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-gaussian-process-models-for-regression-discontinuity-kink-under-sharp-and-fuzzy-designs-2110.00921"/></url>
<url><loc>https://scifaro.com/en/abs/marginally-calibrated-response-distributions-for-end-to-end-learning-in-autonomous-driving-2110.01050</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marginally-calibrated-response-distributions-for-end-to-end-learning-in-autonomous-driving-2110.01050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marginally-calibrated-response-distributions-for-end-to-end-learning-in-autonomous-driving-2110.01050"/></url>
<url><loc>https://scifaro.com/en/abs/treeging-2110.01053</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/treeging-2110.01053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/treeging-2110.01053"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-contextual-search-with-binary-feedbacks-2110.01072</loc><lastmod>2022-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-contextual-search-with-binary-feedbacks-2110.01072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-contextual-search-with-binary-feedbacks-2110.01072"/></url>
<url><loc>https://scifaro.com/en/abs/destress-computation-optimal-and-communication-efficient-decentralized-nonconvex-finite-sum-optimization-2110.01165</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/destress-computation-optimal-and-communication-efficient-decentralized-nonconvex-finite-sum-optimization-2110.01165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/destress-computation-optimal-and-communication-efficient-decentralized-nonconvex-finite-sum-optimization-2110.01165"/></url>
<url><loc>https://scifaro.com/en/abs/row-clustering-of-a-point-process-valued-matrix-2110.01207</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/row-clustering-of-a-point-process-valued-matrix-2110.01207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/row-clustering-of-a-point-process-valued-matrix-2110.01207"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-riemannian-concave-potential-maps-2110.01288</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-riemannian-concave-potential-maps-2110.01288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-riemannian-concave-potential-maps-2110.01288"/></url>
<url><loc>https://scifaro.com/en/abs/causality-and-generalizability-identifiability-and-learning-methods-2110.01430</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causality-and-generalizability-identifiability-and-learning-methods-2110.01430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causality-and-generalizability-identifiability-and-learning-methods-2110.01430"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-kernel-thinning-2110.01593</loc><lastmod>2025-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-kernel-thinning-2110.01593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-kernel-thinning-2110.01593"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-a-mixture-of-gaussians-with-unknown-covariance-2110.01602</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-a-mixture-of-gaussians-with-unknown-covariance-2110.01602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-a-mixture-of-gaussians-with-unknown-covariance-2110.01602"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-potential-outcome-distributions-with-collaborating-causal-networks-2110.01664</loc><lastmod>2022-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-potential-outcome-distributions-with-collaborating-causal-networks-2110.01664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-potential-outcome-distributions-with-collaborating-causal-networks-2110.01664"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-tensor-space-feature-theory-with-applications-to-robust-machine-learning-2110.01729</loc><lastmod>2026-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-tensor-space-feature-theory-with-applications-to-robust-machine-learning-2110.01729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-tensor-space-feature-theory-with-applications-to-robust-machine-learning-2110.01729"/></url>
<url><loc>https://scifaro.com/en/abs/permute-me-softly-learning-soft-permutations-for-graph-representations-2110.01872</loc><lastmod>2022-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/permute-me-softly-learning-soft-permutations-for-graph-representations-2110.01872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/permute-me-softly-learning-soft-permutations-for-graph-representations-2110.01872"/></url>
<url><loc>https://scifaro.com/en/abs/random-matrices-in-service-of-ml-footprint-ternary-random-features-with-no-performance-loss-2110.01899</loc><lastmod>2022-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-matrices-in-service-of-ml-footprint-ternary-random-features-with-no-performance-loss-2110.01899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-matrices-in-service-of-ml-footprint-ternary-random-features-with-no-performance-loss-2110.01899"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-high-dimensional-data-with-spiked-covariance-matrix-structure-2110.01950</loc><lastmod>2026-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-high-dimensional-data-with-spiked-covariance-matrix-structure-2110.01950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-high-dimensional-data-with-spiked-covariance-matrix-structure-2110.01950"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-correspondence-between-gaussian-processes-and-geometric-harmonics-2110.02296</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-correspondence-between-gaussian-processes-and-geometric-harmonics-2110.02296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-correspondence-between-gaussian-processes-and-geometric-harmonics-2110.02296"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-interpretable-consensus-clustering-via-minipatch-learning-2110.02388</loc><lastmod>2023-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-interpretable-consensus-clustering-via-minipatch-learning-2110.02388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-interpretable-consensus-clustering-via-minipatch-learning-2110.02388"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-by-a-mechanism-design-2110.02419</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-by-a-mechanism-design-2110.02419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-by-a-mechanism-design-2110.02419"/></url>
<url><loc>https://scifaro.com/en/abs/vc-dimension-of-partially-quantized-neural-networks-in-the-overparametrized-regime-2110.02456</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vc-dimension-of-partially-quantized-neural-networks-in-the-overparametrized-regime-2110.02456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vc-dimension-of-partially-quantized-neural-networks-in-the-overparametrized-regime-2110.02456"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-and-quantifying-malicious-activity-with-simulation-based-inference-2110.02483</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-and-quantifying-malicious-activity-with-simulation-based-inference-2110.02483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-and-quantifying-malicious-activity-with-simulation-based-inference-2110.02483"/></url>
<url><loc>https://scifaro.com/en/abs/deep-classifiers-with-label-noise-modeling-and-distance-awareness-2110.02609</loc><lastmod>2022-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-classifiers-with-label-noise-modeling-and-distance-awareness-2110.02609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-classifiers-with-label-noise-modeling-and-distance-awareness-2110.02609"/></url>
<url><loc>https://scifaro.com/en/abs/tuning-confidence-bound-for-stochastic-bandits-with-bandit-distance-2110.02690</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tuning-confidence-bound-for-stochastic-bandits-with-bandit-distance-2110.02690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tuning-confidence-bound-for-stochastic-bandits-with-bandit-distance-2110.02690"/></url>
<url><loc>https://scifaro.com/en/abs/variance-function-estimation-in-regression-model-via-aggregation-procedures-2110.02715</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-function-estimation-in-regression-model-via-aggregation-procedures-2110.02715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-function-estimation-in-regression-model-via-aggregation-procedures-2110.02715"/></url>
<url><loc>https://scifaro.com/en/abs/relative-entropy-gradient-sampler-for-unnormalized-distributions-2110.02787</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relative-entropy-gradient-sampler-for-unnormalized-distributions-2110.02787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relative-entropy-gradient-sampler-for-unnormalized-distributions-2110.02787"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-neural-network-unit-priors-and-generalized-weibull-tail-property-2110.02885</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-neural-network-unit-priors-and-generalized-weibull-tail-property-2110.02885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-neural-network-unit-priors-and-generalized-weibull-tail-property-2110.02885"/></url>
<url><loc>https://scifaro.com/en/abs/foolish-crowds-support-benign-overfitting-2110.02914</loc><lastmod>2022-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/foolish-crowds-support-benign-overfitting-2110.02914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/foolish-crowds-support-benign-overfitting-2110.02914"/></url>
<url><loc>https://scifaro.com/en/abs/data-twinning-2110.02927</loc><lastmod>2022-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-twinning-2110.02927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-twinning-2110.02927"/></url>
<url><loc>https://scifaro.com/en/abs/robust-generalized-method-of-moments-a-finite-sample-viewpoint-2110.03070</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-generalized-method-of-moments-a-finite-sample-viewpoint-2110.03070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-generalized-method-of-moments-a-finite-sample-viewpoint-2110.03070"/></url>
<url><loc>https://scifaro.com/en/abs/solving-the-dirichlet-problem-for-the-monge-amp-ere-equation-using-neural-networks-2110.03310</loc><lastmod>2023-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-the-dirichlet-problem-for-the-monge-amp-ere-equation-using-neural-networks-2110.03310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-the-dirichlet-problem-for-the-monge-amp-ere-equation-using-neural-networks-2110.03310"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-and-reliability-when-training-with-noisy-labels-2110.03321</loc><lastmod>2022-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-and-reliability-when-training-with-noisy-labels-2110.03321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-and-reliability-when-training-with-noisy-labels-2110.03321"/></url>
<url><loc>https://scifaro.com/en/abs/bar-g-mst-an-unbiased-stratified-statistic-and-a-fast-gradient-optimization-algorithm-based-on-it-2110.03354</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bar-g-mst-an-unbiased-stratified-statistic-and-a-fast-gradient-optimization-algorithm-based-on-it-2110.03354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bar-g-mst-an-unbiased-stratified-statistic-and-a-fast-gradient-optimization-algorithm-based-on-it-2110.03354"/></url>
<url><loc>https://scifaro.com/en/abs/curved-markov-chain-monte-carlo-for-network-learning-2110.03413</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curved-markov-chain-monte-carlo-for-network-learning-2110.03413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curved-markov-chain-monte-carlo-for-network-learning-2110.03413"/></url>
<url><loc>https://scifaro.com/en/abs/pretrained-language-models-are-symbolic-mathematics-solvers-too-2110.03501</loc><lastmod>2023-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pretrained-language-models-are-symbolic-mathematics-solvers-too-2110.03501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pretrained-language-models-are-symbolic-mathematics-solvers-too-2110.03501"/></url>
<url><loc>https://scifaro.com/en/abs/ship-performance-monitoring-using-machine-learning-2110.03594</loc><lastmod>2022-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ship-performance-monitoring-using-machine-learning-2110.03594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ship-performance-monitoring-using-machine-learning-2110.03594"/></url>
<url><loc>https://scifaro.com/en/abs/tighter-sparse-approximation-bounds-for-relu-neural-networks-2110.03673</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tighter-sparse-approximation-bounds-for-relu-neural-networks-2110.03673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tighter-sparse-approximation-bounds-for-relu-neural-networks-2110.03673"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-for-trajectories-2110.03712</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-for-trajectories-2110.03712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-for-trajectories-2110.03712"/></url>
<url><loc>https://scifaro.com/en/abs/global-sensitivity-analysis-in-probabilistic-graphical-models-2110.03749</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-sensitivity-analysis-in-probabilistic-graphical-models-2110.03749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-sensitivity-analysis-in-probabilistic-graphical-models-2110.03749"/></url>
<url><loc>https://scifaro.com/en/abs/de-randomizing-mcmc-dynamics-with-the-diffusion-stein-operator-2110.03768</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/de-randomizing-mcmc-dynamics-with-the-diffusion-stein-operator-2110.03768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/de-randomizing-mcmc-dynamics-with-the-diffusion-stein-operator-2110.03768"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-regeneration-guarantees-of-the-wasserstein-autoencoder-with-latent-space-consistency-2110.03995</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-regeneration-guarantees-of-the-wasserstein-autoencoder-with-latent-space-consistency-2110.03995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-regeneration-guarantees-of-the-wasserstein-autoencoder-with-latent-space-consistency-2110.03995"/></url>
<url><loc>https://scifaro.com/en/abs/active-inference-bayesian-optimal-design-and-expected-utility-2110.04074</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-inference-bayesian-optimal-design-and-expected-utility-2110.04074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-inference-bayesian-optimal-design-and-expected-utility-2110.04074"/></url>
<url><loc>https://scifaro.com/en/abs/learning-topic-models-identifiability-and-finite-sample-analysis-2110.04232</loc><lastmod>2022-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-topic-models-identifiability-and-finite-sample-analysis-2110.04232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-topic-models-identifiability-and-finite-sample-analysis-2110.04232"/></url>
<url><loc>https://scifaro.com/en/abs/big-machinery-data-preprocessing-methodology-for-data-driven-models-in-prognostics-and-health-management-2110.04256</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/big-machinery-data-preprocessing-methodology-for-data-driven-models-in-prognostics-and-health-management-2110.04256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/big-machinery-data-preprocessing-methodology-for-data-driven-models-in-prognostics-and-health-management-2110.04256"/></url>
<url><loc>https://scifaro.com/en/abs/when-to-call-your-neighbor-strategic-communication-in-cooperative-stochastic-bandits-2110.04396</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-to-call-your-neighbor-strategic-communication-in-cooperative-stochastic-bandits-2110.04396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-to-call-your-neighbor-strategic-communication-in-cooperative-stochastic-bandits-2110.04396"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-joint-distribution-learning-2110.04829</loc><lastmod>2024-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-joint-distribution-learning-2110.04829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-joint-distribution-learning-2110.04829"/></url>
<url><loc>https://scifaro.com/en/abs/quadratic-multiform-separation-a-new-classification-model-in-machine-learning-2110.04925</loc><lastmod>2022-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quadratic-multiform-separation-a-new-classification-model-in-machine-learning-2110.04925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quadratic-multiform-separation-a-new-classification-model-in-machine-learning-2110.04925"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-learning-criteria-going-beyond-the-usual-risk-2110.04996</loc><lastmod>2023-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-learning-criteria-going-beyond-the-usual-risk-2110.04996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-learning-criteria-going-beyond-the-usual-risk-2110.04996"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-functional-analysis-of-generalized-linear-models-under-nonlinear-constraints-2110.04998</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-functional-analysis-of-generalized-linear-models-under-nonlinear-constraints-2110.04998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-functional-analysis-of-generalized-linear-models-under-nonlinear-constraints-2110.04998"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-scalable-sde-learning-a-functional-perspective-2110.05167</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-scalable-sde-learning-a-functional-perspective-2110.05167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-scalable-sde-learning-a-functional-perspective-2110.05167"/></url>
<url><loc>https://scifaro.com/en/abs/beta-intact-vae-identifying-and-estimating-causal-effects-under-limited-overlap-2110.05225</loc><lastmod>2022-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beta-intact-vae-identifying-and-estimating-causal-effects-under-limited-overlap-2110.05225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beta-intact-vae-identifying-and-estimating-causal-effects-under-limited-overlap-2110.05225"/></url>
<url><loc>https://scifaro.com/en/abs/deep-unsupervised-feature-selection-by-discarding-nuisance-and-correlated-features-2110.05306</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-unsupervised-feature-selection-by-discarding-nuisance-and-correlated-features-2110.05306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-unsupervised-feature-selection-by-discarding-nuisance-and-correlated-features-2110.05306"/></url>
<url><loc>https://scifaro.com/en/abs/learning-temporally-causal-latent-processes-from-general-temporal-data-2110.05428</loc><lastmod>2022-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-temporally-causal-latent-processes-from-general-temporal-data-2110.05428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-temporally-causal-latent-processes-from-general-temporal-data-2110.05428"/></url>
<url><loc>https://scifaro.com/en/abs/capital-optimal-subgroup-identification-via-constrained-policy-tree-search-2110.05636</loc><lastmod>2023-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/capital-optimal-subgroup-identification-via-constrained-policy-tree-search-2110.05636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/capital-optimal-subgroup-identification-via-constrained-policy-tree-search-2110.05636"/></url>
<url><loc>https://scifaro.com/en/abs/deviance-matrix-factorization-2110.05674</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deviance-matrix-factorization-2110.05674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deviance-matrix-factorization-2110.05674"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-self-penalization-phenomenon-in-feature-selection-2110.05852</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-self-penalization-phenomenon-in-feature-selection-2110.05852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-self-penalization-phenomenon-in-feature-selection-2110.05852"/></url>
<url><loc>https://scifaro.com/en/abs/discovery-of-single-independent-latent-variable-2110.05887</loc><lastmod>2023-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovery-of-single-independent-latent-variable-2110.05887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovery-of-single-independent-latent-variable-2110.05887"/></url>
<url><loc>https://scifaro.com/en/abs/embedded-model-flows-combining-the-inductive-biases-of-model-free-deep-learning-and-explicit-probabilistic-modeling-2110.06021</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embedded-model-flows-combining-the-inductive-biases-of-model-free-deep-learning-and-explicit-probabilistic-modeling-2110.06021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embedded-model-flows-combining-the-inductive-biases-of-model-free-deep-learning-and-explicit-probabilistic-modeling-2110.06021"/></url>
<url><loc>https://scifaro.com/en/abs/tracking-the-risk-of-a-deployed-model-and-detecting-harmful-distribution-shifts-2110.06177</loc><lastmod>2022-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tracking-the-risk-of-a-deployed-model-and-detecting-harmful-distribution-shifts-2110.06177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tracking-the-risk-of-a-deployed-model-and-detecting-harmful-distribution-shifts-2110.06177"/></url>
<url><loc>https://scifaro.com/en/abs/domain-generalization-via-domain-based-covariance-minimization-2110.06298</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-generalization-via-domain-based-covariance-minimization-2110.06298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-generalization-via-domain-based-covariance-minimization-2110.06298"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-low-rank-covariance-factors-for-energy-based-deterministic-uncertainty-2110.06381</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-low-rank-covariance-factors-for-energy-based-deterministic-uncertainty-2110.06381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-low-rank-covariance-factors-for-energy-based-deterministic-uncertainty-2110.06381"/></url>
<url><loc>https://scifaro.com/en/abs/sub-setting-algorithm-for-training-data-selection-in-pattern-recognition-2110.06527</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sub-setting-algorithm-for-training-data-selection-in-pattern-recognition-2110.06527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sub-setting-algorithm-for-training-data-selection-in-pattern-recognition-2110.06527"/></url>
<url><loc>https://scifaro.com/en/abs/a-trust-crisis-in-simulation-based-inference-your-posterior-approximations-can-be-unfaithful-2110.06581</loc><lastmod>2022-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-trust-crisis-in-simulation-based-inference-your-posterior-approximations-can-be-unfaithful-2110.06581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-trust-crisis-in-simulation-based-inference-your-posterior-approximations-can-be-unfaithful-2110.06581"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-based-interpretation-of-deep-relu-network-2110.06593</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-based-interpretation-of-deep-relu-network-2110.06593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-based-interpretation-of-deep-relu-network-2110.06593"/></url>
<url><loc>https://scifaro.com/en/abs/logic-constraints-to-feature-importances-2110.06596</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logic-constraints-to-feature-importances-2110.06596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logic-constraints-to-feature-importances-2110.06596"/></url>
<url><loc>https://scifaro.com/en/abs/metaparametric-neural-networks-for-survival-analysis-2110.06610</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metaparametric-neural-networks-for-survival-analysis-2110.06610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metaparametric-neural-networks-for-survival-analysis-2110.06610"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-ensemble-gaussian-processes-2110.06777</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-ensemble-gaussian-processes-2110.06777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-ensemble-gaussian-processes-2110.06777"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-logistic-regression-for-online-recalibration-and-revision-of-risk-prediction-models-with-performance-guarantees-2110.06866</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-logistic-regression-for-online-recalibration-and-revision-of-risk-prediction-models-with-performance-guarantees-2110.06866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-logistic-regression-for-online-recalibration-and-revision-of-risk-prediction-models-with-performance-guarantees-2110.06866"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-standards-design-2110.06909</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-standards-design-2110.06909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-standards-design-2110.06909"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-double-descent-of-random-features-models-trained-with-sgd-2110.06910</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-double-descent-of-random-features-models-trained-with-sgd-2110.06910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-double-descent-of-random-features-models-trained-with-sgd-2110.06910"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-transformed-anova-approximation-on-the-example-of-the-prevention-of-forest-fires-2110.07353</loc><lastmod>2022-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-transformed-anova-approximation-on-the-example-of-the-prevention-of-forest-fires-2110.07353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-transformed-anova-approximation-on-the-example-of-the-prevention-of-forest-fires-2110.07353"/></url>
<url><loc>https://scifaro.com/en/abs/ib-gan-a-unified-approach-for-multivariate-time-series-classification-under-class-imbalance-2110.07460</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ib-gan-a-unified-approach-for-multivariate-time-series-classification-under-class-imbalance-2110.07460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ib-gan-a-unified-approach-for-multivariate-time-series-classification-under-class-imbalance-2110.07460"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-manifolds-using-gaussian-processes-2110.07478</loc><lastmod>2026-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-manifolds-using-gaussian-processes-2110.07478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-manifolds-using-gaussian-processes-2110.07478"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-models-for-predicting-rna-degradation-via-dual-crowdsourcing-2110.07531</loc><lastmod>2022-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-models-for-predicting-rna-degradation-via-dual-crowdsourcing-2110.07531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-models-for-predicting-rna-degradation-via-dual-crowdsourcing-2110.07531"/></url>
<url><loc>https://scifaro.com/en/abs/function-space-inference-with-sparse-implicit-processes-2110.07618</loc><lastmod>2022-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/function-space-inference-with-sparse-implicit-processes-2110.07618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/function-space-inference-with-sparse-implicit-processes-2110.07618"/></url>
<url><loc>https://scifaro.com/en/abs/model-change-active-learning-in-graph-based-semi-supervised-learning-2110.07739</loc><lastmod>2024-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-change-active-learning-in-graph-based-semi-supervised-learning-2110.07739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-change-active-learning-in-graph-based-semi-supervised-learning-2110.07739"/></url>
<url><loc>https://scifaro.com/en/abs/learning-mean-field-equations-from-particle-data-using-wsindy-2110.07756</loc><lastmod>2022-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-mean-field-equations-from-particle-data-using-wsindy-2110.07756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-mean-field-equations-from-particle-data-using-wsindy-2110.07756"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-bandit-optimization-with-few-batches-2110.07788</loc><lastmod>2022-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-bandit-optimization-with-few-batches-2110.07788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-bandit-optimization-with-few-batches-2110.07788"/></url>
<url><loc>https://scifaro.com/en/abs/compressive-independent-component-analysis-theory-and-algorithms-2110.08045</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressive-independent-component-analysis-theory-and-algorithms-2110.08045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressive-independent-component-analysis-theory-and-algorithms-2110.08045"/></url>
<url><loc>https://scifaro.com/en/abs/causal-identification-with-additive-noise-models-quantifying-the-effect-of-noise-2110.08087</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-identification-with-additive-noise-models-quantifying-the-effect-of-noise-2110.08087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-identification-with-additive-noise-models-quantifying-the-effect-of-noise-2110.08087"/></url>
<url><loc>https://scifaro.com/en/abs/an-active-learning-approach-for-improving-the-performance-of-equilibrium-based-chemical-simulations-2110.08111</loc><lastmod>2024-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-active-learning-approach-for-improving-the-performance-of-equilibrium-based-chemical-simulations-2110.08111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-active-learning-approach-for-improving-the-performance-of-equilibrium-based-chemical-simulations-2110.08111"/></url>
<url><loc>https://scifaro.com/en/abs/choice-functions-based-multi-objective-bayesian-optimisation-2110.08217</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/choice-functions-based-multi-objective-bayesian-optimisation-2110.08217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/choice-functions-based-multi-objective-bayesian-optimisation-2110.08217"/></url>
<url><loc>https://scifaro.com/en/abs/nuances-in-margin-conditions-determine-gains-in-active-learning-2110.08418</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nuances-in-margin-conditions-determine-gains-in-active-learning-2110.08418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nuances-in-margin-conditions-determine-gains-in-active-learning-2110.08418"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attacks-on-gaussian-process-bandits-2110.08449</loc><lastmod>2022-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-on-gaussian-process-bandits-2110.08449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-on-gaussian-process-bandits-2110.08449"/></url>
<url><loc>https://scifaro.com/en/abs/on-model-selection-consistency-of-lasso-for-high-dimensional-ising-models-2110.08500</loc><lastmod>2023-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-model-selection-consistency-of-lasso-for-high-dimensional-ising-models-2110.08500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-model-selection-consistency-of-lasso-for-high-dimensional-ising-models-2110.08500"/></url>
<url><loc>https://scifaro.com/en/abs/mode-and-ridge-estimation-in-euclidean-and-directional-product-spaces-a-mean-shift-approach-2110.08505</loc><lastmod>2025-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mode-and-ridge-estimation-in-euclidean-and-directional-product-spaces-a-mean-shift-approach-2110.08505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mode-and-ridge-estimation-in-euclidean-and-directional-product-spaces-a-mean-shift-approach-2110.08505"/></url>
<url><loc>https://scifaro.com/en/abs/noise-augmented-privacy-preserving-empirical-risk-minimization-with-dual-purpose-regularizer-and-privacy-budget-retrieval-and-recycling-2110.08676</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-augmented-privacy-preserving-empirical-risk-minimization-with-dual-purpose-regularizer-and-privacy-budget-retrieval-and-recycling-2110.08676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-augmented-privacy-preserving-empirical-risk-minimization-with-dual-purpose-regularizer-and-privacy-budget-retrieval-and-recycling-2110.08676"/></url>
<url><loc>https://scifaro.com/en/abs/persuasion-by-dimension-reduction-2110.08884</loc><lastmod>2022-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/persuasion-by-dimension-reduction-2110.08884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/persuasion-by-dimension-reduction-2110.08884"/></url>
<url><loc>https://scifaro.com/en/abs/rejoinder-learning-optimal-distributionally-robust-individualized-treatment-rules-2110.08936</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rejoinder-learning-optimal-distributionally-robust-individualized-treatment-rules-2110.08936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rejoinder-learning-optimal-distributionally-robust-individualized-treatment-rules-2110.08936"/></url>
<url><loc>https://scifaro.com/en/abs/valid-and-exact-statistical-inference-for-multi-dimensional-multiple-change-points-by-selective-inference-2110.08989</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/valid-and-exact-statistical-inference-for-multi-dimensional-multiple-change-points-by-selective-inference-2110.08989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/valid-and-exact-statistical-inference-for-multi-dimensional-multiple-change-points-by-selective-inference-2110.08989"/></url>
<url><loc>https://scifaro.com/en/abs/rkhs-shap-shapley-values-for-kernel-methods-2110.09167</loc><lastmod>2022-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rkhs-shap-shapley-values-for-kernel-methods-2110.09167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rkhs-shap-shapley-values-for-kernel-methods-2110.09167"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-liquid-fuel-properties-using-machine-learning-models-with-gaussian-processes-and-probabilistic-conditional-generative-learning-2110.09360</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-liquid-fuel-properties-using-machine-learning-models-with-gaussian-processes-and-probabilistic-conditional-generative-learning-2110.09360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-liquid-fuel-properties-using-machine-learning-models-with-gaussian-processes-and-probabilistic-conditional-generative-learning-2110.09360"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-exploration-in-binary-and-preferential-bayesian-optimization-2110.09361</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-exploration-in-binary-and-preferential-bayesian-optimization-2110.09361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-exploration-in-binary-and-preferential-bayesian-optimization-2110.09361"/></url>
<url><loc>https://scifaro.com/en/abs/keep-it-tighter-a-story-on-analytical-mean-embeddings-2110.09516</loc><lastmod>2024-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/keep-it-tighter-a-story-on-analytical-mean-embeddings-2110.09516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/keep-it-tighter-a-story-on-analytical-mean-embeddings-2110.09516"/></url>
<url><loc>https://scifaro.com/en/abs/interpolating-between-sampling-and-variational-inference-with-infinite-stochastic-mixtures-2110.09618</loc><lastmod>2022-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpolating-between-sampling-and-variational-inference-with-infinite-stochastic-mixtures-2110.09618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpolating-between-sampling-and-variational-inference-with-infinite-stochastic-mixtures-2110.09618"/></url>
<url><loc>https://scifaro.com/en/abs/a-cautionary-tale-on-fitting-decision-trees-to-data-from-additive-models-generalization-lower-bounds-2110.09626</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-cautionary-tale-on-fitting-decision-trees-to-data-from-additive-models-generalization-lower-bounds-2110.09626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-cautionary-tale-on-fitting-decision-trees-to-data-from-additive-models-generalization-lower-bounds-2110.09626"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-stochastic-optimization-for-imputation-in-massive-medical-data-records-2110.09680</loc><lastmod>2024-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-stochastic-optimization-for-imputation-in-massive-medical-data-records-2110.09680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-stochastic-optimization-for-imputation-in-massive-medical-data-records-2110.09680"/></url>
<url><loc>https://scifaro.com/en/abs/abess-a-fast-best-subset-selection-library-in-python-and-r-2110.09697</loc><lastmod>2024-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/abess-a-fast-best-subset-selection-library-in-python-and-r-2110.09697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/abess-a-fast-best-subset-selection-library-in-python-and-r-2110.09697"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-learn-graph-topologies-2110.09807</loc><lastmod>2023-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-learn-graph-topologies-2110.09807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-learn-graph-topologies-2110.09807"/></url>
<url><loc>https://scifaro.com/en/abs/learning-pareto-efficient-decisions-with-confidence-2110.09864</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-pareto-efficient-decisions-with-confidence-2110.09864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-pareto-efficient-decisions-with-confidence-2110.09864"/></url>
<url><loc>https://scifaro.com/en/abs/on-clustering-categories-of-categorical-predictors-in-generalized-linear-models-2110.10059</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-clustering-categories-of-categorical-predictors-in-generalized-linear-models-2110.10059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-clustering-categories-of-categorical-predictors-in-generalized-linear-models-2110.10059"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-sparse-tensor-factorization-with-hierarchical-gamma-processes-2110.10082</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-sparse-tensor-factorization-with-hierarchical-gamma-processes-2110.10082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-sparse-tensor-factorization-with-hierarchical-gamma-processes-2110.10082"/></url>
<url><loc>https://scifaro.com/en/abs/computational-graph-completion-2110.10323</loc><lastmod>2022-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computational-graph-completion-2110.10323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computational-graph-completion-2110.10323"/></url>
<url><loc>https://scifaro.com/en/abs/online-non-parametric-change-point-detection-for-heterogeneous-data-streams-observed-over-graph-nodes-2110.10518</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-non-parametric-change-point-detection-for-heterogeneous-data-streams-observed-over-graph-nodes-2110.10518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-non-parametric-change-point-detection-for-heterogeneous-data-streams-observed-over-graph-nodes-2110.10518"/></url>
<url><loc>https://scifaro.com/en/abs/iterated-block-particle-filter-for-high-dimensional-parameter-learning-beating-the-curse-of-dimensionality-2110.10745</loc><lastmod>2023-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterated-block-particle-filter-for-high-dimensional-parameter-learning-beating-the-curse-of-dimensionality-2110.10745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterated-block-particle-filter-for-high-dimensional-parameter-learning-beating-the-curse-of-dimensionality-2110.10745"/></url>
<url><loc>https://scifaro.com/en/abs/pick-and-mix-information-operators-for-probabilistic-ode-solvers-2110.10770</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pick-and-mix-information-operators-for-probabilistic-ode-solvers-2110.10770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pick-and-mix-information-operators-for-probabilistic-ode-solvers-2110.10770"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attacks-against-bayesian-forecasting-dynamic-models-2110.10783</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-against-bayesian-forecasting-dynamic-models-2110.10783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-against-bayesian-forecasting-dynamic-models-2110.10783"/></url>
<url><loc>https://scifaro.com/en/abs/identifiable-deep-generative-models-via-sparse-decoding-2110.10804</loc><lastmod>2025-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifiable-deep-generative-models-via-sparse-decoding-2110.10804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifiable-deep-generative-models-via-sparse-decoding-2110.10804"/></url>
<url><loc>https://scifaro.com/en/abs/the-r-package-sentometrics-to-compute-aggregate-and-predict-with-textual-sentiment-2110.10817</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-r-package-sentometrics-to-compute-aggregate-and-predict-with-textual-sentiment-2110.10817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-r-package-sentometrics-to-compute-aggregate-and-predict-with-textual-sentiment-2110.10817"/></url>
<url><loc>https://scifaro.com/en/abs/data-splitting-improves-statistical-performance-in-overparametrized-regimes-2110.10956</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-splitting-improves-statistical-performance-in-overparametrized-regimes-2110.10956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-splitting-improves-statistical-performance-in-overparametrized-regimes-2110.10956"/></url>
<url><loc>https://scifaro.com/en/abs/mean-nystr-om-embeddings-for-adaptive-compressive-learning-2110.10996</loc><lastmod>2022-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-nystr-om-embeddings-for-adaptive-compressive-learning-2110.10996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-nystr-om-embeddings-for-adaptive-compressive-learning-2110.10996"/></url>
<url><loc>https://scifaro.com/en/abs/user-friendly-introduction-to-pac-bayes-bounds-2110.11216</loc><lastmod>2025-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/user-friendly-introduction-to-pac-bayes-bounds-2110.11216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/user-friendly-introduction-to-pac-bayes-bounds-2110.11216"/></url>
<url><loc>https://scifaro.com/en/abs/on-optimal-interpolation-in-linear-regression-2110.11258</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-optimal-interpolation-in-linear-regression-2110.11258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-optimal-interpolation-in-linear-regression-2110.11258"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-training-of-schr-odinger-bridge-using-forward-backward-sdes-theory-2110.11291</loc><lastmod>2023-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-training-of-schr-odinger-bridge-using-forward-backward-sdes-theory-2110.11291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-training-of-schr-odinger-bridge-using-forward-backward-sdes-theory-2110.11291"/></url>
<url><loc>https://scifaro.com/en/abs/conditioning-of-random-feature-matrices-double-descent-and-generalization-error-2110.11477</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditioning-of-random-feature-matrices-double-descent-and-generalization-error-2110.11477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditioning-of-random-feature-matrices-double-descent-and-generalization-error-2110.11477"/></url>
<url><loc>https://scifaro.com/en/abs/feature-learning-and-signal-propagation-in-deep-neural-networks-2110.11749</loc><lastmod>2023-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-learning-and-signal-propagation-in-deep-neural-networks-2110.11749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-learning-and-signal-propagation-in-deep-neural-networks-2110.11749"/></url>
<url><loc>https://scifaro.com/en/abs/reconstruction-of-sentinel-2-time-series-using-robust-gaussian-mixture-models-application-to-the-detection-of-anomalous-crop-development-in-wheat-and-rapeseed-crops-2110.11780</loc><lastmod>2022-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconstruction-of-sentinel-2-time-series-using-robust-gaussian-mixture-models-application-to-the-detection-of-anomalous-crop-development-in-wheat-and-rapeseed-crops-2110.11780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconstruction-of-sentinel-2-time-series-using-robust-gaussian-mixture-models-application-to-the-detection-of-anomalous-crop-development-in-wheat-and-rapeseed-crops-2110.11780"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-fine-tuning-of-pruning-masks-and-pac-bayes-self-bounded-learning-2110.11804</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-fine-tuning-of-pruning-masks-and-pac-bayes-self-bounded-learning-2110.11804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-fine-tuning-of-pruning-masks-and-pac-bayes-self-bounded-learning-2110.11804"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-ode-solutions-in-millions-of-dimensions-2110.11812</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-ode-solutions-in-millions-of-dimensions-2110.11812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-ode-solutions-in-millions-of-dimensions-2110.11812"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-randomized-classification-trees-2110.11952</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-randomized-classification-trees-2110.11952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-randomized-classification-trees-2110.11952"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-quantification-for-low-rank-matrix-completion-with-heterogeneous-and-sub-exponential-noise-2110.12046</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-quantification-for-low-rank-matrix-completion-with-heterogeneous-and-sub-exponential-noise-2110.12046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-quantification-for-low-rank-matrix-completion-with-heterogeneous-and-sub-exponential-noise-2110.12046"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-accurate-graph-learning-for-huge-data-via-minipatch-ensembles-2110.12067</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-accurate-graph-learning-for-huge-data-via-minipatch-ensembles-2110.12067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-accurate-graph-learning-for-huge-data-via-minipatch-ensembles-2110.12067"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-thompson-sampling-for-partially-observable-contextual-multi-armed-bandits-2110.12175</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-thompson-sampling-for-partially-observable-contextual-multi-armed-bandits-2110.12175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-thompson-sampling-for-partially-observable-contextual-multi-armed-bandits-2110.12175"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-resubstitution-for-classification-error-estimation-2110.12285</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-resubstitution-for-classification-error-estimation-2110.12285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-resubstitution-for-classification-error-estimation-2110.12285"/></url>
<url><loc>https://scifaro.com/en/abs/path-signature-area-based-causal-discovery-in-coupled-time-series-2110.12288</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/path-signature-area-based-causal-discovery-in-coupled-time-series-2110.12288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/path-signature-area-based-causal-discovery-in-coupled-time-series-2110.12288"/></url>
<url><loc>https://scifaro.com/en/abs/integrated-conditional-estimation-optimization-2110.12351</loc><lastmod>2023-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrated-conditional-estimation-optimization-2110.12351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrated-conditional-estimation-optimization-2110.12351"/></url>
<url><loc>https://scifaro.com/en/abs/fast-rank-1-nmf-for-missing-data-with-kl-divergence-2110.12595</loc><lastmod>2022-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-rank-1-nmf-for-missing-data-with-kl-divergence-2110.12595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-rank-1-nmf-for-missing-data-with-kl-divergence-2110.12595"/></url>
<url><loc>https://scifaro.com/en/abs/mlr3spatiotempcv-spatiotemporal-resampling-methods-for-machine-learning-in-r-2110.12674</loc><lastmod>2022-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mlr3spatiotempcv-spatiotemporal-resampling-methods-for-machine-learning-in-r-2110.12674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mlr3spatiotempcv-spatiotemporal-resampling-methods-for-machine-learning-in-r-2110.12674"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-correntropy-criterion-regression-models-with-tending-to-zero-scale-parameters-2110.12751</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-correntropy-criterion-regression-models-with-tending-to-zero-scale-parameters-2110.12751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-correntropy-criterion-regression-models-with-tending-to-zero-scale-parameters-2110.12751"/></url>
<url><loc>https://scifaro.com/en/abs/variational-gaussian-processes-a-functional-analysis-view-2110.12798</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-gaussian-processes-a-functional-analysis-view-2110.12798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-gaussian-processes-a-functional-analysis-view-2110.12798"/></url>
<url><loc>https://scifaro.com/en/abs/hamiltonian-monte-carlo-with-asymmetrical-momentum-distributions-2110.12907</loc><lastmod>2026-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hamiltonian-monte-carlo-with-asymmetrical-momentum-distributions-2110.12907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hamiltonian-monte-carlo-with-asymmetrical-momentum-distributions-2110.12907"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-based-quadratic-multiform-separation-2110.13006</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-based-quadratic-multiform-separation-2110.13006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-based-quadratic-multiform-separation-2110.13006"/></url>
<url><loc>https://scifaro.com/en/abs/nonuniform-negative-sampling-and-log-odds-correction-with-rare-events-data-2110.13048</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonuniform-negative-sampling-and-log-odds-correction-with-rare-events-data-2110.13048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonuniform-negative-sampling-and-log-odds-correction-with-rare-events-data-2110.13048"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-weighted-multi-view-clustering-2110.13240</loc><lastmod>2023-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-weighted-multi-view-clustering-2110.13240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-weighted-multi-view-clustering-2110.13240"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-randomized-choices-in-isolation-forests-2110.13402</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-randomized-choices-in-isolation-forests-2110.13402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-randomized-choices-in-isolation-forests-2110.13402"/></url>
<url><loc>https://scifaro.com/en/abs/modular-gaussian-processes-for-transfer-learning-2110.13515</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modular-gaussian-processes-for-transfer-learning-2110.13515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modular-gaussian-processes-for-transfer-learning-2110.13515"/></url>
<url><loc>https://scifaro.com/en/abs/online-variational-filtering-and-parameter-learning-2110.13549</loc><lastmod>2022-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-variational-filtering-and-parameter-learning-2110.13549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-variational-filtering-and-parameter-learning-2110.13549"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-quantification-in-a-mechanical-submodel-driven-by-a-wasserstein-gan-2110.13680</loc><lastmod>2023-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-quantification-in-a-mechanical-submodel-driven-by-a-wasserstein-gan-2110.13680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-quantification-in-a-mechanical-submodel-driven-by-a-wasserstein-gan-2110.13680"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-efficacy-of-deep-learning-models-for-heart-beat-detection-on-heterogeneous-datasets-2110.13732</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-efficacy-of-deep-learning-models-for-heart-beat-detection-on-heterogeneous-datasets-2110.13732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-efficacy-of-deep-learning-models-for-heart-beat-detection-on-heterogeneous-datasets-2110.13732"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-identification-of-comorbidities-associated-with-recurrent-ed-and-inpatient-visits-2110.13769</loc><lastmod>2022-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-identification-of-comorbidities-associated-with-recurrent-ed-and-inpatient-visits-2110.13769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-identification-of-comorbidities-associated-with-recurrent-ed-and-inpatient-visits-2110.13769"/></url>
<url><loc>https://scifaro.com/en/abs/post-processing-for-individual-fairness-2110.13796</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/post-processing-for-individual-fairness-2110.13796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/post-processing-for-individual-fairness-2110.13796"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-causal-bayesian-optimization-2110.13891</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-causal-bayesian-optimization-2110.13891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-causal-bayesian-optimization-2110.13891"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-matrix-estimation-with-one-sided-covariates-2110.13969</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-matrix-estimation-with-one-sided-covariates-2110.13969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-matrix-estimation-with-one-sided-covariates-2110.13969"/></url>
<url><loc>https://scifaro.com/en/abs/graph-posterior-network-bayesian-predictive-uncertainty-for-node-classification-2110.14012</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-posterior-network-bayesian-predictive-uncertainty-for-node-classification-2110.14012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-posterior-network-bayesian-predictive-uncertainty-for-node-classification-2110.14012"/></url>
<url><loc>https://scifaro.com/en/abs/tight-concentrations-and-confidence-sequences-from-the-regret-of-universal-portfolio-2110.14099</loc><lastmod>2022-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-concentrations-and-confidence-sequences-from-the-regret-of-universal-portfolio-2110.14099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-concentrations-and-confidence-sequences-from-the-regret-of-universal-portfolio-2110.14099"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-representations-for-testing-independence-modeling-analysis-and-connection-with-mutual-information-estimation-2110.14122</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-representations-for-testing-independence-modeling-analysis-and-connection-with-mutual-information-estimation-2110.14122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-representations-for-testing-independence-modeling-analysis-and-connection-with-mutual-information-estimation-2110.14122"/></url>
<url><loc>https://scifaro.com/en/abs/uniform-concentration-bounds-toward-a-unified-framework-for-robust-clustering-2110.14148</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uniform-concentration-bounds-toward-a-unified-framework-for-robust-clustering-2110.14148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uniform-concentration-bounds-toward-a-unified-framework-for-robust-clustering-2110.14148"/></url>
<url><loc>https://scifaro.com/en/abs/federated-linear-contextual-bandits-2110.14177</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-linear-contextual-bandits-2110.14177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-linear-contextual-bandits-2110.14177"/></url>
<url><loc>https://scifaro.com/en/abs/vector-valued-gaussian-processes-on-riemannian-manifolds-via-gauge-independent-projected-kernels-2110.14423</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vector-valued-gaussian-processes-on-riemannian-manifolds-via-gauge-independent-projected-kernels-2110.14423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vector-valued-gaussian-processes-on-riemannian-manifolds-via-gauge-independent-projected-kernels-2110.14423"/></url>
<url><loc>https://scifaro.com/en/abs/locally-differentially-private-bayesian-inference-2110.14426</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-differentially-private-bayesian-inference-2110.14426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-differentially-private-bayesian-inference-2110.14426"/></url>
<url><loc>https://scifaro.com/en/abs/failure-averse-active-learning-for-physics-constrained-systems-2110.14443</loc><lastmod>2023-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/failure-averse-active-learning-for-physics-constrained-systems-2110.14443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/failure-averse-active-learning-for-physics-constrained-systems-2110.14443"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-multi-player-multi-armed-bandits-closing-the-gap-and-generalization-2110.14622</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-multi-player-multi-armed-bandits-closing-the-gap-and-generalization-2110.14622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-multi-player-multi-armed-bandits-closing-the-gap-and-generalization-2110.14622"/></url>
<url><loc>https://scifaro.com/en/abs/almost-free-incentivized-exploration-from-decentralized-learning-agents-2110.14628</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/almost-free-incentivized-exploration-from-decentralized-learning-agents-2110.14628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/almost-free-incentivized-exploration-from-decentralized-learning-agents-2110.14628"/></url>
<url><loc>https://scifaro.com/en/abs/vaca-design-of-variational-graph-autoencoders-for-interventional-and-counterfactual-queries-2110.14690</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vaca-design-of-variational-graph-autoencoders-for-interventional-and-counterfactual-queries-2110.14690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vaca-design-of-variational-graph-autoencoders-for-interventional-and-counterfactual-queries-2110.14690"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-shape-metrics-on-neural-representations-2110.14739</loc><lastmod>2022-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-shape-metrics-on-neural-representations-2110.14739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-shape-metrics-on-neural-representations-2110.14739"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-deep-exponential-families-2110.14800</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-deep-exponential-families-2110.14800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-deep-exponential-families-2110.14800"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-optimal-quantile-and-semi-adversarial-regret-via-root-logarithmic-regularizers-2110.14804</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-optimal-quantile-and-semi-adversarial-regret-via-root-logarithmic-regularizers-2110.14804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-optimal-quantile-and-semi-adversarial-regret-via-root-logarithmic-regularizers-2110.14804"/></url>
<url><loc>https://scifaro.com/en/abs/an-asymptotic-test-for-conditional-independence-using-analytic-kernel-embeddings-2110.14868</loc><lastmod>2022-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-asymptotic-test-for-conditional-independence-using-analytic-kernel-embeddings-2110.14868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-asymptotic-test-for-conditional-independence-using-analytic-kernel-embeddings-2110.14868"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-autoencoder-using-fisher-information-2110.14947</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-autoencoder-using-fisher-information-2110.14947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-autoencoder-using-fisher-information-2110.14947"/></url>
<url><loc>https://scifaro.com/en/abs/mmd-aggregated-two-sample-test-2110.15073</loc><lastmod>2023-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mmd-aggregated-two-sample-test-2110.15073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mmd-aggregated-two-sample-test-2110.15073"/></url>
<url><loc>https://scifaro.com/en/abs/open-problem-tight-online-confidence-intervals-for-rkhs-elements-2110.15458</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-problem-tight-online-confidence-intervals-for-rkhs-elements-2110.15458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-problem-tight-online-confidence-intervals-for-rkhs-elements-2110.15458"/></url>
<url><loc>https://scifaro.com/en/abs/dockstring-easy-molecular-docking-yields-better-benchmarks-for-ligand-design-2110.15486</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dockstring-easy-molecular-docking-yields-better-benchmarks-for-ligand-design-2110.15486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dockstring-easy-molecular-docking-yields-better-benchmarks-for-ligand-design-2110.15486"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-robust-interval-estimation-for-optimal-policy-evaluation-in-online-learning-2110.15501</loc><lastmod>2024-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-robust-interval-estimation-for-optimal-policy-evaluation-in-online-learning-2110.15501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-robust-interval-estimation-for-optimal-policy-evaluation-in-online-learning-2110.15501"/></url>
<url><loc>https://scifaro.com/en/abs/a-b-n-testing-with-control-in-the-presence-of-subpopulations-2110.15573</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-b-n-testing-with-control-in-the-presence-of-subpopulations-2110.15573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-b-n-testing-with-control-in-the-presence-of-subpopulations-2110.15573"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bayesian-optimistic-sampling-2110.15688</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayesian-optimistic-sampling-2110.15688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayesian-optimistic-sampling-2110.15688"/></url>
<url><loc>https://scifaro.com/en/abs/aligned-multi-task-gaussian-process-2110.15761</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aligned-multi-task-gaussian-process-2110.15761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aligned-multi-task-gaussian-process-2110.15761"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-robustness-with-semi-infinite-constrained-learning-2110.15767</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-robustness-with-semi-infinite-constrained-learning-2110.15767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-robustness-with-semi-infinite-constrained-learning-2110.15767"/></url>
<url><loc>https://scifaro.com/en/abs/resampling-base-distributions-of-normalizing-flows-2110.15828</loc><lastmod>2022-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resampling-base-distributions-of-normalizing-flows-2110.15828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resampling-base-distributions-of-normalizing-flows-2110.15828"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-discretization-in-online-reinforcement-learning-2110.15843</loc><lastmod>2024-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-discretization-in-online-reinforcement-learning-2110.15843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-discretization-in-online-reinforcement-learning-2110.15843"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-as-kernel-learners-the-silent-alignment-effect-2111.00034</loc><lastmod>2022-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-as-kernel-learners-the-silent-alignment-effect-2111.00034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-as-kernel-learners-the-silent-alignment-effect-2111.00034"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-rank-via-entropic-optimal-transport-sample-efficiency-and-generative-modeling-2111.00043</loc><lastmod>2022-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-rank-via-entropic-optimal-transport-sample-efficiency-and-generative-modeling-2111.00043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-rank-via-entropic-optimal-transport-sample-efficiency-and-generative-modeling-2111.00043"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-efficient-change-point-detection-using-novel-multivariate-rank-energy-gof-test-2111.00047</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-efficient-change-point-detection-using-novel-multivariate-rank-energy-gof-test-2111.00047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-efficient-change-point-detection-using-novel-multivariate-rank-energy-gof-test-2111.00047"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-inference-without-trading-off-regret-in-bandits-an-allocation-probability-test-for-thompson-sampling-2111.00137</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-inference-without-trading-off-regret-in-bandits-an-allocation-probability-test-for-thompson-sampling-2111.00137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-inference-without-trading-off-regret-in-bandits-an-allocation-probability-test-for-thompson-sampling-2111.00137"/></url>
<url><loc>https://scifaro.com/en/abs/laplacian-constrained-precision-matrix-estimation-existence-and-high-dimensional-consistency-2111.00590</loc><lastmod>2022-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/laplacian-constrained-precision-matrix-estimation-existence-and-high-dimensional-consistency-2111.00590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/laplacian-constrained-precision-matrix-estimation-existence-and-high-dimensional-consistency-2111.00590"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-learning-of-deep-kernel-acquisition-functions-for-bayesian-optimization-2111.00639</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-learning-of-deep-kernel-acquisition-functions-for-bayesian-optimization-2111.00639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-learning-of-deep-kernel-acquisition-functions-for-bayesian-optimization-2111.00639"/></url>
<url><loc>https://scifaro.com/en/abs/learning-linear-non-gaussian-directed-acyclic-graph-with-diverging-number-of-nodes-2111.00740</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-linear-non-gaussian-directed-acyclic-graph-with-diverging-number-of-nodes-2111.00740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-linear-non-gaussian-directed-acyclic-graph-with-diverging-number-of-nodes-2111.00740"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-quantification-for-ptychography-using-normalizing-flows-2111.00745</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-quantification-for-ptychography-using-normalizing-flows-2111.00745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-quantification-for-ptychography-using-normalizing-flows-2111.00745"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-pricing-and-demand-learning-on-a-large-network-of-products-a-pac-bayesian-approach-2111.00790</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-pricing-and-demand-learning-on-a-large-network-of-products-a-pac-bayesian-approach-2111.00790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-pricing-and-demand-learning-on-a-large-network-of-products-a-pac-bayesian-approach-2111.00790"/></url>
<url><loc>https://scifaro.com/en/abs/free-probability-for-predicting-the-performance-of-feed-forward-fully-connected-neural-networks-2111.00841</loc><lastmod>2023-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/free-probability-for-predicting-the-performance-of-feed-forward-fully-connected-neural-networks-2111.00841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/free-probability-for-predicting-the-performance-of-feed-forward-fully-connected-neural-networks-2111.00841"/></url>
<url><loc>https://scifaro.com/en/abs/pca-based-multi-task-learning-a-random-matrix-approach-2111.00924</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pca-based-multi-task-learning-a-random-matrix-approach-2111.00924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pca-based-multi-task-learning-a-random-matrix-approach-2111.00924"/></url>
<url><loc>https://scifaro.com/en/abs/notmad-estimating-bayesian-networks-with-sample-specific-structures-and-parameters-2111.01104</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/notmad-estimating-bayesian-networks-with-sample-specific-structures-and-parameters-2111.01104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/notmad-estimating-bayesian-networks-with-sample-specific-structures-and-parameters-2111.01104"/></url>
<url><loc>https://scifaro.com/en/abs/faster-algorithms-for-learning-convex-functions-2111.01348</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-algorithms-for-learning-convex-functions-2111.01348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-algorithms-for-learning-convex-functions-2111.01348"/></url>
<url><loc>https://scifaro.com/en/abs/outlier-robust-optimal-transport-duality-structure-and-statistical-analysis-2111.01361</loc><lastmod>2023-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outlier-robust-optimal-transport-duality-structure-and-statistical-analysis-2111.01361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outlier-robust-optimal-transport-duality-structure-and-statistical-analysis-2111.01361"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-learning-of-the-parameters-of-non-linear-models-using-differentiable-resampling-in-particle-filters-2111.01409</loc><lastmod>2022-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-learning-of-the-parameters-of-non-linear-models-using-differentiable-resampling-in-particle-filters-2111.01409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-learning-of-the-parameters-of-non-linear-models-using-differentiable-resampling-in-particle-filters-2111.01409"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-learning-of-quadratic-variance-function-directed-acyclic-graphs-via-topological-layers-2111.01560</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-learning-of-quadratic-variance-function-directed-acyclic-graphs-via-topological-layers-2111.01560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-learning-of-quadratic-variance-function-directed-acyclic-graphs-via-topological-layers-2111.01560"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-hierarchical-bayesian-inference-for-spatio-temporal-regression-models-in-neuroimaging-2111.01692</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-hierarchical-bayesian-inference-for-spatio-temporal-regression-models-in-neuroimaging-2111.01692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-hierarchical-bayesian-inference-for-spatio-temporal-regression-models-in-neuroimaging-2111.01692"/></url>
<url><loc>https://scifaro.com/en/abs/bayes-newton-methods-for-approximate-bayesian-inference-with-psd-guarantees-2111.01721</loc><lastmod>2022-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayes-newton-methods-for-approximate-bayesian-inference-with-psd-guarantees-2111.01721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayes-newton-methods-for-approximate-bayesian-inference-with-psd-guarantees-2111.01721"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-for-shuffled-data-problems-via-exponential-family-priors-on-the-permutation-group-2111.01767</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-for-shuffled-data-problems-via-exponential-family-priors-on-the-permutation-group-2111.01767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-for-shuffled-data-problems-via-exponential-family-priors-on-the-permutation-group-2111.01767"/></url>
<url><loc>https://scifaro.com/en/abs/nearly-optimal-algorithms-for-level-set-estimation-2111.01768</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearly-optimal-algorithms-for-level-set-estimation-2111.01768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearly-optimal-algorithms-for-level-set-estimation-2111.01768"/></url>
<url><loc>https://scifaro.com/en/abs/a-recommendation-system-to-enhance-midwives-capacities-in-low-income-countries-2111.01786</loc><lastmod>2022-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-recommendation-system-to-enhance-midwives-capacities-in-low-income-countries-2111.01786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-recommendation-system-to-enhance-midwives-capacities-in-low-income-countries-2111.01786"/></url>
<url><loc>https://scifaro.com/en/abs/from-global-to-local-mdi-variable-importances-for-random-forests-and-when-they-are-shapley-values-2111.02218</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-global-to-local-mdi-variable-importances-for-random-forests-and-when-they-are-shapley-values-2111.02218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-global-to-local-mdi-variable-importances-for-random-forests-and-when-they-are-shapley-values-2111.02218"/></url>
<url><loc>https://scifaro.com/en/abs/selecting-the-number-of-clusters-clustering-models-and-algorithms-a-unifying-approach-based-on-the-quadratic-discriminant-score-2111.02302</loc><lastmod>2023-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selecting-the-number-of-clusters-clustering-models-and-algorithms-a-unifying-approach-based-on-the-quadratic-discriminant-score-2111.02302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selecting-the-number-of-clusters-clustering-models-and-algorithms-a-unifying-approach-based-on-the-quadratic-discriminant-score-2111.02302"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-deep-adaptive-design-policy-based-experimental-design-without-likelihoods-2111.02329</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-deep-adaptive-design-policy-based-experimental-design-without-likelihoods-2111.02329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-deep-adaptive-design-policy-based-experimental-design-without-likelihoods-2111.02329"/></url>
<url><loc>https://scifaro.com/en/abs/perturb-and-max-product-sampling-and-learning-in-discrete-energy-based-models-2111.02458</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perturb-and-max-product-sampling-and-learning-in-discrete-energy-based-models-2111.02458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perturb-and-max-product-sampling-and-learning-in-discrete-energy-based-models-2111.02458"/></url>
<url><loc>https://scifaro.com/en/abs/conformal-prediction-for-text-infilling-and-part-of-speech-prediction-2111.02592</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformal-prediction-for-text-infilling-and-part-of-speech-prediction-2111.02592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformal-prediction-for-text-infilling-and-part-of-speech-prediction-2111.02592"/></url>
<url><loc>https://scifaro.com/en/abs/local-global-mcmc-kernels-the-best-of-both-worlds-2111.02702</loc><lastmod>2022-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-global-mcmc-kernels-the-best-of-both-worlds-2111.02702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-global-mcmc-kernels-the-best-of-both-worlds-2111.02702"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-sparse-feature-selection-in-communication-restricted-networks-2111.02802</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-sparse-feature-selection-in-communication-restricted-networks-2111.02802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-sparse-feature-selection-in-communication-restricted-networks-2111.02802"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attacks-on-graph-classification-via-bayesian-optimisation-2111.02842</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-on-graph-classification-via-bayesian-optimisation-2111.02842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-on-graph-classification-via-bayesian-optimisation-2111.02842"/></url>
<url><loc>https://scifaro.com/en/abs/causal-inference-with-imperfect-instrumental-variables-2111.03029</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-inference-with-imperfect-instrumental-variables-2111.03029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-inference-with-imperfect-instrumental-variables-2111.03029"/></url>
<url><loc>https://scifaro.com/en/abs/multi-objective-constrained-optimization-for-energy-applications-via-tree-ensembles-2111.03140</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-objective-constrained-optimization-for-energy-applications-via-tree-ensembles-2111.03140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-objective-constrained-optimization-for-energy-applications-via-tree-ensembles-2111.03140"/></url>
<url><loc>https://scifaro.com/en/abs/community-detection-in-censored-hypergraph-2111.03179</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/community-detection-in-censored-hypergraph-2111.03179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/community-detection-in-censored-hypergraph-2111.03179"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-neural-networks-for-learning-long-term-temporal-dependencies-with-reanalysis-of-time-scale-representation-2111.03282</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-neural-networks-for-learning-long-term-temporal-dependencies-with-reanalysis-of-time-scale-representation-2111.03282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-neural-networks-for-learning-long-term-temporal-dependencies-with-reanalysis-of-time-scale-representation-2111.03282"/></url>
<url><loc>https://scifaro.com/en/abs/improved-regret-analysis-for-variance-adaptive-linear-bandits-and-horizon-free-linear-mixture-mdps-2111.03289</loc><lastmod>2023-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-regret-analysis-for-variance-adaptive-linear-bandits-and-horizon-free-linear-mixture-mdps-2111.03289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-regret-analysis-for-variance-adaptive-linear-bandits-and-horizon-free-linear-mixture-mdps-2111.03289"/></url>
<url><loc>https://scifaro.com/en/abs/maillard-sampling-boltzmann-exploration-done-optimally-2111.03290</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maillard-sampling-boltzmann-exploration-done-optimally-2111.03290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maillard-sampling-boltzmann-exploration-done-optimally-2111.03290"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-bayesian-optimization-with-binary-outputs-2111.03447</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-bayesian-optimization-with-binary-outputs-2111.03447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-bayesian-optimization-with-binary-outputs-2111.03447"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neyman-scott-processes-2111.03949</loc><lastmod>2022-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neyman-scott-processes-2111.03949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neyman-scott-processes-2111.03949"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-and-structural-robustness-in-causal-diagrams-2111.04513</loc><lastmod>2023-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-and-structural-robustness-in-causal-diagrams-2111.04513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-and-structural-robustness-in-causal-diagrams-2111.04513"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-scalable-spike-and-slab-variable-selection-in-high-dimensional-gaussian-processes-2111.04558</loc><lastmod>2022-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-scalable-spike-and-slab-variable-selection-in-high-dimensional-gaussian-processes-2111.04558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-scalable-spike-and-slab-variable-selection-in-high-dimensional-gaussian-processes-2111.04558"/></url>
<url><loc>https://scifaro.com/en/abs/neyman-pearson-multi-class-classification-via-cost-sensitive-learning-2111.04597</loc><lastmod>2025-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neyman-pearson-multi-class-classification-via-cost-sensitive-learning-2111.04597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neyman-pearson-multi-class-classification-via-cost-sensitive-learning-2111.04597"/></url>
<url><loc>https://scifaro.com/en/abs/a-private-and-computationally-efficient-estimator-for-unbounded-gaussians-2111.04609</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-private-and-computationally-efficient-estimator-for-unbounded-gaussians-2111.04609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-private-and-computationally-efficient-estimator-for-unbounded-gaussians-2111.04609"/></url>
<url><loc>https://scifaro.com/en/abs/consistent-sufficient-explanations-and-minimal-local-rules-for-explaining-regression-and-classification-models-2111.04658</loc><lastmod>2022-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-sufficient-explanations-and-minimal-local-rules-for-explaining-regression-and-classification-models-2111.04658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-sufficient-explanations-and-minimal-local-rules-for-explaining-regression-and-classification-models-2111.04658"/></url>
<url><loc>https://scifaro.com/en/abs/solution-to-the-non-monotonicity-and-crossing-problems-in-quantile-regression-2111.04805</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solution-to-the-non-monotonicity-and-crossing-problems-in-quantile-regression-2111.04805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solution-to-the-non-monotonicity-and-crossing-problems-in-quantile-regression-2111.04805"/></url>
<url><loc>https://scifaro.com/en/abs/query-augmented-active-metric-learning-2111.04871</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/query-augmented-active-metric-learning-2111.04871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/query-augmented-active-metric-learning-2111.04871"/></url>
<url><loc>https://scifaro.com/en/abs/the-role-of-adaptive-optimizers-for-honest-private-hyperparameter-selection-2111.04906</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-adaptive-optimizers-for-honest-private-hyperparameter-selection-2111.04906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-adaptive-optimizers-for-honest-private-hyperparameter-selection-2111.04906"/></url>
<url><loc>https://scifaro.com/en/abs/gated-linear-model-induced-u-net-for-surrogate-modeling-and-uncertainty-quantification-2111.05123</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gated-linear-model-induced-u-net-for-surrogate-modeling-and-uncertainty-quantification-2111.05123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gated-linear-model-induced-u-net-for-surrogate-modeling-and-uncertainty-quantification-2111.05123"/></url>
<url><loc>https://scifaro.com/en/abs/harmless-interpolation-in-regression-and-classification-with-structured-features-2111.05198</loc><lastmod>2022-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/harmless-interpolation-in-regression-and-classification-with-structured-features-2111.05198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/harmless-interpolation-in-regression-and-classification-with-structured-features-2111.05198"/></url>
<url><loc>https://scifaro.com/en/abs/double-control-variates-for-gradient-estimation-in-discrete-latent-variable-models-2111.05300</loc><lastmod>2022-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/double-control-variates-for-gradient-estimation-in-discrete-latent-variable-models-2111.05300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/double-control-variates-for-gradient-estimation-in-discrete-latent-variable-models-2111.05300"/></url>
<url><loc>https://scifaro.com/en/abs/graph-matching-via-optimal-transport-2111.05366</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-matching-via-optimal-transport-2111.05366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-matching-via-optimal-transport-2111.05366"/></url>
<url><loc>https://scifaro.com/en/abs/which-priors-matter-benchmarking-models-for-learning-latent-dynamics-2111.05458</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/which-priors-matter-benchmarking-models-for-learning-latent-dynamics-2111.05458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/which-priors-matter-benchmarking-models-for-learning-latent-dynamics-2111.05458"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-importance-scores-interpreting-tabular-ml-by-visualizing-feature-semantics-2111.05898</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-importance-scores-interpreting-tabular-ml-by-visualizing-feature-semantics-2111.05898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-importance-scores-interpreting-tabular-ml-by-visualizing-feature-semantics-2111.05898"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-sampling-of-unknown-and-high-dimensional-conditional-distributions-2111.05962</loc><lastmod>2022-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-sampling-of-unknown-and-high-dimensional-conditional-distributions-2111.05962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-sampling-of-unknown-and-high-dimensional-conditional-distributions-2111.05962"/></url>
<url><loc>https://scifaro.com/en/abs/symetric-measuring-the-quality-of-learnt-hamiltonian-dynamics-inferred-from-vision-2111.05986</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symetric-measuring-the-quality-of-learnt-hamiltonian-dynamics-inferred-from-vision-2111.05986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symetric-measuring-the-quality-of-learnt-hamiltonian-dynamics-inferred-from-vision-2111.05986"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-equivalence-between-neural-network-and-support-vector-machine-2111.06063</loc><lastmod>2022-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-equivalence-between-neural-network-and-support-vector-machine-2111.06063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-equivalence-between-neural-network-and-support-vector-machine-2111.06063"/></url>
<url><loc>https://scifaro.com/en/abs/arise-aperiodic-semi-parametric-process-for-efficient-markets-without-periodogram-and-gaussianity-assumptions-2111.06222</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/arise-aperiodic-semi-parametric-process-for-efficient-markets-without-periodogram-and-gaussianity-assumptions-2111.06222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/arise-aperiodic-semi-parametric-process-for-efficient-markets-without-periodogram-and-gaussianity-assumptions-2111.06222"/></url>
<url><loc>https://scifaro.com/en/abs/kalman-filtering-with-adversarial-corruptions-2111.06395</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kalman-filtering-with-adversarial-corruptions-2111.06395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kalman-filtering-with-adversarial-corruptions-2111.06395"/></url>
<url><loc>https://scifaro.com/en/abs/simplifying-approach-to-node-classification-in-graph-neural-networks-2111.06748</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simplifying-approach-to-node-classification-in-graph-neural-networks-2111.06748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simplifying-approach-to-node-classification-in-graph-neural-networks-2111.06748"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-rates-for-the-map-of-an-exponential-family-and-stochastic-mirror-descent-an-open-problem-2111.06826</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-rates-for-the-map-of-an-exponential-family-and-stochastic-mirror-descent-an-open-problem-2111.06826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-rates-for-the-map-of-an-exponential-family-and-stochastic-mirror-descent-an-open-problem-2111.06826"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-clustering-by-aggregating-representatives-in-sub-minimum-spanning-trees-2111.06968</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-clustering-by-aggregating-representatives-in-sub-minimum-spanning-trees-2111.06968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-clustering-by-aggregating-representatives-in-sub-minimum-spanning-trees-2111.06968"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-statistical-benefits-of-curriculum-learning-2111.07126</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-statistical-benefits-of-curriculum-learning-2111.07126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-statistical-benefits-of-curriculum-learning-2111.07126"/></url>
<url><loc>https://scifaro.com/en/abs/the-three-stages-of-learning-dynamics-in-high-dimensional-kernel-methods-2111.07167</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-three-stages-of-learning-dynamics-in-high-dimensional-kernel-methods-2111.07167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-three-stages-of-learning-dynamics-in-high-dimensional-kernel-methods-2111.07167"/></url>
<url><loc>https://scifaro.com/en/abs/improving-usual-naive-bayes-classifier-performances-with-neural-naive-bayes-based-models-2111.07307</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-usual-naive-bayes-classifier-performances-with-neural-naive-bayes-based-models-2111.07307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-usual-naive-bayes-classifier-performances-with-neural-naive-bayes-based-models-2111.07307"/></url>
<url><loc>https://scifaro.com/en/abs/fast-doubly-adaptive-mcmc-to-estimate-the-gibbs-partition-function-with-weak-mixing-time-bounds-2111.07372</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-doubly-adaptive-mcmc-to-estimate-the-gibbs-partition-function-with-weak-mixing-time-bounds-2111.07372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-doubly-adaptive-mcmc-to-estimate-the-gibbs-partition-function-with-weak-mixing-time-bounds-2111.07372"/></url>
<url><loc>https://scifaro.com/en/abs/on-equivalence-between-linear-chain-conditional-random-fields-and-hidden-markov-chains-2111.07376</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-equivalence-between-linear-chain-conditional-random-fields-and-hidden-markov-chains-2111.07376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-equivalence-between-linear-chain-conditional-random-fields-and-hidden-markov-chains-2111.07376"/></url>
<url><loc>https://scifaro.com/en/abs/decoding-causality-by-fictitious-var-modeling-2111.07465</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoding-causality-by-fictitious-var-modeling-2111.07465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoding-causality-by-fictitious-var-modeling-2111.07465"/></url>
<url><loc>https://scifaro.com/en/abs/scrutinizing-xai-using-linear-ground-truth-data-with-suppressor-variables-2111.07473</loc><lastmod>2023-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scrutinizing-xai-using-linear-ground-truth-data-with-suppressor-variables-2111.07473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scrutinizing-xai-using-linear-ground-truth-data-with-suppressor-variables-2111.07473"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-representation-learning-with-trainable-augmentation-channel-2111.07679</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-representation-learning-with-trainable-augmentation-channel-2111.07679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-representation-learning-with-trainable-augmentation-channel-2111.07679"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-learning-of-multivariate-extremes-2111.07799</loc><lastmod>2023-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-learning-of-multivariate-extremes-2111.07799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-learning-of-multivariate-extremes-2111.07799"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-compression-in-near-linear-time-2111.07941</loc><lastmod>2022-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-compression-in-near-linear-time-2111.07941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-compression-in-near-linear-time-2111.07941"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-graph-learning-under-laplacian-related-constraints-2111.08161</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-graph-learning-under-laplacian-related-constraints-2111.08161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-graph-learning-under-laplacian-related-constraints-2111.08161"/></url>
<url><loc>https://scifaro.com/en/abs/sstagcn-simplified-stacking-based-graph-convolutional-networks-2111.08228</loc><lastmod>2024-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sstagcn-simplified-stacking-based-graph-convolutional-networks-2111.08228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sstagcn-simplified-stacking-based-graph-convolutional-networks-2111.08228"/></url>
<url><loc>https://scifaro.com/en/abs/covariate-shift-in-high-dimensional-random-feature-regression-2111.08234</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covariate-shift-in-high-dimensional-random-feature-regression-2111.08234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covariate-shift-in-high-dimensional-random-feature-regression-2111.08234"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-convolution-and-pooling-operations-in-kernel-methods-2111.08308</loc><lastmod>2022-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-convolution-and-pooling-operations-in-kernel-methods-2111.08308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-convolution-and-pooling-operations-in-kernel-methods-2111.08308"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-for-cascade-type-multi-stage-processes-2111.08330</loc><lastmod>2023-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-for-cascade-type-multi-stage-processes-2111.08330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-for-cascade-type-multi-stage-processes-2111.08330"/></url>
<url><loc>https://scifaro.com/en/abs/elbd-efficient-score-algorithm-for-feature-selection-on-latent-variables-of-vae-2111.08493</loc><lastmod>2022-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elbd-efficient-score-algorithm-for-feature-selection-on-latent-variables-of-vae-2111.08493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elbd-efficient-score-algorithm-for-feature-selection-on-latent-variables-of-vae-2111.08493"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-community-mode-estimation-2111.08535</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-community-mode-estimation-2111.08535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-community-mode-estimation-2111.08535"/></url>
<url><loc>https://scifaro.com/en/abs/online-estimation-and-optimization-of-utility-based-shortfall-risk-2111.08805</loc><lastmod>2023-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-estimation-and-optimization-of-utility-based-shortfall-risk-2111.08805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-estimation-and-optimization-of-utility-based-shortfall-risk-2111.08805"/></url>
<url><loc>https://scifaro.com/en/abs/max-min-grouped-bandits-2111.08862</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/max-min-grouped-bandits-2111.08862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/max-min-grouped-bandits-2111.08862"/></url>
<url><loc>https://scifaro.com/en/abs/three-approaches-to-supervised-learning-for-compositional-data-with-pairwise-logratios-2111.08953</loc><lastmod>2026-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/three-approaches-to-supervised-learning-for-compositional-data-with-pairwise-logratios-2111.08953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/three-approaches-to-supervised-learning-for-compositional-data-with-pairwise-logratios-2111.08953"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-to-improve-predictions-for-underrepresented-observations-in-imbalanced-data-2111.09065</loc><lastmod>2021-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-to-improve-predictions-for-underrepresented-observations-in-imbalanced-data-2111.09065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-to-improve-predictions-for-underrepresented-observations-in-imbalanced-data-2111.09065"/></url>
<url><loc>https://scifaro.com/en/abs/c-oph-improving-the-accuracy-of-one-permutation-hashing-oph-with-circulant-permutations-2111.09544</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/c-oph-improving-the-accuracy-of-one-permutation-hashing-oph-with-circulant-permutations-2111.09544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/c-oph-improving-the-accuracy-of-one-permutation-hashing-oph-with-circulant-permutations-2111.09544"/></url>
<url><loc>https://scifaro.com/en/abs/from-optimality-to-robustness-dirichlet-sampling-strategies-in-stochastic-bandits-2111.09724</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-optimality-to-robustness-dirichlet-sampling-strategies-in-stochastic-bandits-2111.09724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-optimality-to-robustness-dirichlet-sampling-strategies-in-stochastic-bandits-2111.09724"/></url>
<url><loc>https://scifaro.com/en/abs/mcce-monte-carlo-sampling-of-realistic-counterfactual-explanations-2111.09790</loc><lastmod>2024-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcce-monte-carlo-sampling-of-realistic-counterfactual-explanations-2111.09790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcce-monte-carlo-sampling-of-realistic-counterfactual-explanations-2111.09790"/></url>
<url><loc>https://scifaro.com/en/abs/causal-forecasting-generalization-bounds-for-autoregressive-models-2111.09831</loc><lastmod>2022-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-forecasting-generalization-bounds-for-autoregressive-models-2111.09831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-forecasting-generalization-bounds-for-autoregressive-models-2111.09831"/></url>
<url><loc>https://scifaro.com/en/abs/deep-ida-a-deep-learning-method-for-integrative-discriminant-analysis-of-multi-view-data-with-feature-ranking-an-application-to-covid-19-severity-2111.09964</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-ida-a-deep-learning-method-for-integrative-discriminant-analysis-of-multi-view-data-with-feature-ranking-an-application-to-covid-19-severity-2111.09964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-ida-a-deep-learning-method-for-integrative-discriminant-analysis-of-multi-view-data-with-feature-ranking-an-application-to-covid-19-severity-2111.09964"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-determinantal-processes-a-new-model-for-directionality-in-data-2111.09990</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-determinantal-processes-a-new-model-for-directionality-in-data-2111.09990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-determinantal-processes-a-new-model-for-directionality-in-data-2111.09990"/></url>
<url><loc>https://scifaro.com/en/abs/achievability-and-impossibility-of-exact-pairwise-ranking-2111.10021</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achievability-and-impossibility-of-exact-pairwise-ranking-2111.10021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achievability-and-impossibility-of-exact-pairwise-ranking-2111.10021"/></url>
<url><loc>https://scifaro.com/en/abs/a-large-scale-benchmark-for-individual-treatment-effect-prediction-and-uplift-modeling-2111.10106</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-large-scale-benchmark-for-individual-treatment-effect-prediction-and-uplift-modeling-2111.10106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-large-scale-benchmark-for-individual-treatment-effect-prediction-and-uplift-modeling-2111.10106"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-training-data-leakage-from-gradients-in-neural-networks-for-image-classification-2111.10178</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-training-data-leakage-from-gradients-in-neural-networks-for-image-classification-2111.10178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-training-data-leakage-from-gradients-in-neural-networks-for-image-classification-2111.10178"/></url>
<url><loc>https://scifaro.com/en/abs/non-asymptotic-bounds-in-asynchronous-sum-weight-gossip-protocols-2111.10248</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-asymptotic-bounds-in-asynchronous-sum-weight-gossip-protocols-2111.10248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-asymptotic-bounds-in-asynchronous-sum-weight-gossip-protocols-2111.10248"/></url>
<url><loc>https://scifaro.com/en/abs/composite-goodness-of-fit-tests-with-kernels-2111.10275</loc><lastmod>2025-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/composite-goodness-of-fit-tests-with-kernels-2111.10275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/composite-goodness-of-fit-tests-with-kernels-2111.10275"/></url>
<url><loc>https://scifaro.com/en/abs/physics-enhanced-neural-networks-in-the-small-data-regime-2111.10329</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-enhanced-neural-networks-in-the-small-data-regime-2111.10329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-enhanced-neural-networks-in-the-small-data-regime-2111.10329"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-inference-using-mini-batch-stochastic-gradient-descent-convergence-guarantees-and-empirical-benefits-2111.10461</loc><lastmod>2025-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-inference-using-mini-batch-stochastic-gradient-descent-convergence-guarantees-and-empirical-benefits-2111.10461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-inference-using-mini-batch-stochastic-gradient-descent-convergence-guarantees-and-empirical-benefits-2111.10461"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-learning-via-neural-schr-odinger-f-ollmer-flows-2111.10510</loc><lastmod>2022-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-learning-via-neural-schr-odinger-f-ollmer-flows-2111.10510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-learning-via-neural-schr-odinger-f-ollmer-flows-2111.10510"/></url>
<url><loc>https://scifaro.com/en/abs/pac-learning-uniform-ergodic-communicative-networks-2111.10708</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-learning-uniform-ergodic-communicative-networks-2111.10708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-learning-uniform-ergodic-communicative-networks-2111.10708"/></url>
<url><loc>https://scifaro.com/en/abs/a-deterministic-sampling-method-via-maximum-mean-discrepancy-flow-with-adaptive-kernel-2111.10722</loc><lastmod>2025-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deterministic-sampling-method-via-maximum-mean-discrepancy-flow-with-adaptive-kernel-2111.10722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deterministic-sampling-method-via-maximum-mean-discrepancy-flow-with-adaptive-kernel-2111.10722"/></url>
<url><loc>https://scifaro.com/en/abs/a-data-driven-line-search-rule-for-support-recovery-in-high-dimensional-data-analysis-2111.10806</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-data-driven-line-search-rule-for-support-recovery-in-high-dimensional-data-analysis-2111.10806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-data-driven-line-search-rule-for-support-recovery-in-high-dimensional-data-analysis-2111.10806"/></url>
<url><loc>https://scifaro.com/en/abs/how-do-kernel-based-sensor-fusion-algorithms-behave-under-high-dimensional-noise-2111.10940</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-do-kernel-based-sensor-fusion-algorithms-behave-under-high-dimensional-noise-2111.10940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-do-kernel-based-sensor-fusion-algorithms-behave-under-high-dimensional-noise-2111.10940"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-with-gaussian-processes-for-bayesian-optimization-2111.11223</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-with-gaussian-processes-for-bayesian-optimization-2111.11223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-with-gaussian-processes-for-bayesian-optimization-2111.11223"/></url>
<url><loc>https://scifaro.com/en/abs/learning-psd-valued-functions-using-kernel-sums-of-squares-2111.11306</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-psd-valued-functions-using-kernel-sums-of-squares-2111.11306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-psd-valued-functions-using-kernel-sums-of-squares-2111.11306"/></url>
<url><loc>https://scifaro.com/en/abs/private-and-polynomial-time-algorithms-for-learning-gaussians-and-beyond-2111.11320</loc><lastmod>2022-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-and-polynomial-time-algorithms-for-learning-gaussians-and-beyond-2111.11320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-and-polynomial-time-algorithms-for-learning-gaussians-and-beyond-2111.11320"/></url>
<url><loc>https://scifaro.com/en/abs/a-free-lunch-from-the-noise-provable-and-practical-exploration-for-representation-learning-2111.11485</loc><lastmod>2023-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-free-lunch-from-the-noise-provable-and-practical-exploration-for-representation-learning-2111.11485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-free-lunch-from-the-noise-provable-and-practical-exploration-for-representation-learning-2111.11485"/></url>
<url><loc>https://scifaro.com/en/abs/depth-without-the-magic-inductive-bias-of-natural-gradient-descent-2111.11542</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/depth-without-the-magic-inductive-bias-of-natural-gradient-descent-2111.11542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/depth-without-the-magic-inductive-bias-of-natural-gradient-descent-2111.11542"/></url>
<url><loc>https://scifaro.com/en/abs/isolation-forests-looking-beyond-tree-depth-2111.11639</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/isolation-forests-looking-beyond-tree-depth-2111.11639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/isolation-forests-looking-beyond-tree-depth-2111.11639"/></url>
<url><loc>https://scifaro.com/en/abs/rio-rotation-equivariance-supervised-learning-of-robust-inertial-odometry-2111.11676</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rio-rotation-equivariance-supervised-learning-of-robust-inertial-odometry-2111.11676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rio-rotation-equivariance-supervised-learning-of-robust-inertial-odometry-2111.11676"/></url>
<url><loc>https://scifaro.com/en/abs/is-shapley-explanation-for-a-model-unique-2111.11946</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-shapley-explanation-for-a-model-unique-2111.11946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-shapley-explanation-for-a-model-unique-2111.11946"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-model-for-online-activity-sample-sizes-2111.12157</loc><lastmod>2025-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-model-for-online-activity-sample-sizes-2111.12157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-model-for-online-activity-sample-sizes-2111.12157"/></url>
<url><loc>https://scifaro.com/en/abs/one-more-step-towards-reality-cooperative-bandits-with-imperfect-communication-2111.12482</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-more-step-towards-reality-cooperative-bandits-with-imperfect-communication-2111.12482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-more-step-towards-reality-cooperative-bandits-with-imperfect-communication-2111.12482"/></url>
<url><loc>https://scifaro.com/en/abs/time-independent-generalization-bounds-for-sgld-in-non-convex-settings-2111.12876</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-independent-generalization-bounds-for-sgld-in-non-convex-settings-2111.12876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-independent-generalization-bounds-for-sgld-in-non-convex-settings-2111.12876"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-problems-with-fidelity-rewards-2111.13026</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-problems-with-fidelity-rewards-2111.13026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-problems-with-fidelity-rewards-2111.13026"/></url>
<url><loc>https://scifaro.com/en/abs/learning-dynamical-systems-from-data-a-simple-cross-validation-perspective-part-iii-irregularly-sampled-time-series-2111.13037</loc><lastmod>2024-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-dynamical-systems-from-data-a-simple-cross-validation-perspective-part-iii-irregularly-sampled-time-series-2111.13037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-dynamical-systems-from-data-a-simple-cross-validation-perspective-part-iii-irregularly-sampled-time-series-2111.13037"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-clinical-trials-with-convex-hulls-2111.13229</loc><lastmod>2022-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-clinical-trials-with-convex-hulls-2111.13229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-clinical-trials-with-convex-hulls-2111.13229"/></url>
<url><loc>https://scifaro.com/en/abs/using-shapley-values-and-variational-autoencoders-to-explain-predictive-models-with-dependent-mixed-features-2111.13507</loc><lastmod>2022-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-shapley-values-and-variational-autoencoders-to-explain-predictive-models-with-dependent-mixed-features-2111.13507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-shapley-values-and-variational-autoencoders-to-explain-predictive-models-with-dependent-mixed-features-2111.13507"/></url>
<url><loc>https://scifaro.com/en/abs/dimension-reduction-with-prior-information-for-knowledge-discovery-2111.13646</loc><lastmod>2024-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimension-reduction-with-prior-information-for-knowledge-discovery-2111.13646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimension-reduction-with-prior-information-for-knowledge-discovery-2111.13646"/></url>
<url><loc>https://scifaro.com/en/abs/factor-augmented-tree-ensembles-2111.14000</loc><lastmod>2023-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factor-augmented-tree-ensembles-2111.14000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factor-augmented-tree-ensembles-2111.14000"/></url>
<url><loc>https://scifaro.com/en/abs/federated-gaussian-process-convergence-automatic-personalization-and-multi-fidelity-modeling-2111.14008</loc><lastmod>2024-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-gaussian-process-convergence-automatic-personalization-and-multi-fidelity-modeling-2111.14008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-gaussian-process-convergence-automatic-personalization-and-multi-fidelity-modeling-2111.14008"/></url>
<url><loc>https://scifaro.com/en/abs/neural-tangent-kernel-of-matrix-product-states-convergence-and-applications-2111.14046</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-tangent-kernel-of-matrix-product-states-convergence-and-applications-2111.14046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-tangent-kernel-of-matrix-product-states-convergence-and-applications-2111.14046"/></url>
<url><loc>https://scifaro.com/en/abs/dependence-between-bayesian-neural-network-units-2111.14397</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dependence-between-bayesian-neural-network-units-2111.14397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dependence-between-bayesian-neural-network-units-2111.14397"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-over-squashing-and-bottlenecks-on-graphs-via-curvature-2111.14522</loc><lastmod>2022-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-over-squashing-and-bottlenecks-on-graphs-via-curvature-2111.14522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-over-squashing-and-bottlenecks-on-graphs-via-curvature-2111.14522"/></url>
<url><loc>https://scifaro.com/en/abs/second-order-approximation-of-minimum-discrimination-information-in-independent-component-analysis-2111.15060</loc><lastmod>2022-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/second-order-approximation-of-minimum-discrimination-information-in-independent-component-analysis-2111.15060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/second-order-approximation-of-minimum-discrimination-information-in-independent-component-analysis-2111.15060"/></url>
<url><loc>https://scifaro.com/en/abs/decoding-the-protein-ligand-interactions-using-parallel-graph-neural-networks-2111.15144</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoding-the-protein-ligand-interactions-using-parallel-graph-neural-networks-2111.15144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoding-the-protein-ligand-interactions-using-parallel-graph-neural-networks-2111.15144"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-modelling-of-multivalued-power-curves-from-an-operational-wind-farm-2111.15496</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-modelling-of-multivalued-power-curves-from-an-operational-wind-farm-2111.15496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-modelling-of-multivalued-power-curves-from-an-operational-wind-farm-2111.15496"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-gans-training-a-game-and-stochastic-control-methodology-2112.00222</loc><lastmod>2021-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-gans-training-a-game-and-stochastic-control-methodology-2112.00222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-gans-training-a-game-and-stochastic-control-methodology-2112.00222"/></url>
<url><loc>https://scifaro.com/en/abs/asymmetric-error-control-under-imperfect-supervision-a-label-noise-adjusted-neyman-pearson-umbrella-algorithm-2112.00314</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymmetric-error-control-under-imperfect-supervision-a-label-noise-adjusted-neyman-pearson-umbrella-algorithm-2112.00314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymmetric-error-control-under-imperfect-supervision-a-label-noise-adjusted-neyman-pearson-umbrella-algorithm-2112.00314"/></url>
<url><loc>https://scifaro.com/en/abs/probability-generating-function-kernels-for-spherical-data-2112.00365</loc><lastmod>2024-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probability-generating-function-kernels-for-spherical-data-2112.00365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probability-generating-function-kernels-for-spherical-data-2112.00365"/></url>
<url><loc>https://scifaro.com/en/abs/controlling-wasserstein-distances-by-kernel-norms-with-application-to-compressive-statistical-learning-2112.00423</loc><lastmod>2023-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlling-wasserstein-distances-by-kernel-norms-with-application-to-compressive-statistical-learning-2112.00423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlling-wasserstein-distances-by-kernel-norms-with-application-to-compressive-statistical-learning-2112.00423"/></url>
<url><loc>https://scifaro.com/en/abs/on-mixing-times-of-metropolized-algorithm-with-optimization-step-mao-a-new-framework-2112.00565</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-mixing-times-of-metropolized-algorithm-with-optimization-step-mao-a-new-framework-2112.00565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-mixing-times-of-metropolized-algorithm-with-optimization-step-mao-a-new-framework-2112.00565"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-batch-greenkhorn-for-regularized-multimarginal-optimal-transport-2112.00838</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-batch-greenkhorn-for-regularized-multimarginal-optimal-transport-2112.00838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-batch-greenkhorn-for-regularized-multimarginal-optimal-transport-2112.00838"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-adaptive-temporal-difference-learning-using-an-ensemble-of-gaussian-processes-2112.00882</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-adaptive-temporal-difference-learning-using-an-ensemble-of-gaussian-processes-2112.00882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-adaptive-temporal-difference-learning-using-an-ensemble-of-gaussian-processes-2112.00882"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-off-policy-learning-under-sample-selection-bias-2112.01387</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-off-policy-learning-under-sample-selection-bias-2112.01387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-off-policy-learning-under-sample-selection-bias-2112.01387"/></url>
<url><loc>https://scifaro.com/en/abs/dimension-free-average-treatment-effect-inference-with-deep-neural-networks-2112.01574</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimension-free-average-treatment-effect-inference-with-deep-neural-networks-2112.01574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimension-free-average-treatment-effect-inference-with-deep-neural-networks-2112.01574"/></url>
<url><loc>https://scifaro.com/en/abs/invariant-priors-for-bayesian-quadrature-2112.01578</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invariant-priors-for-bayesian-quadrature-2112.01578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invariant-priors-for-bayesian-quadrature-2112.01578"/></url>
<url><loc>https://scifaro.com/en/abs/learning-curves-for-continual-learning-in-neural-networks-self-knowledge-transfer-and-forgetting-2112.01653</loc><lastmod>2022-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-curves-for-continual-learning-in-neural-networks-self-knowledge-transfer-and-forgetting-2112.01653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-curves-for-continual-learning-in-neural-networks-self-knowledge-transfer-and-forgetting-2112.01653"/></url>
<url><loc>https://scifaro.com/en/abs/chronological-causal-bandits-2112.01819</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chronological-causal-bandits-2112.01819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chronological-causal-bandits-2112.01819"/></url>
<url><loc>https://scifaro.com/en/abs/bayes-in-wonderland-predictive-supervised-classification-inference-hits-unpredictability-2112.01880</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayes-in-wonderland-predictive-supervised-classification-inference-hits-unpredictability-2112.01880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayes-in-wonderland-predictive-supervised-classification-inference-hits-unpredictability-2112.01880"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-estimation-of-smooth-transport-maps-with-kernel-sums-of-squares-2112.01907</loc><lastmod>2021-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-estimation-of-smooth-transport-maps-with-kernel-sums-of-squares-2112.01907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-estimation-of-smooth-transport-maps-with-kernel-sums-of-squares-2112.01907"/></url>
<url><loc>https://scifaro.com/en/abs/data-fusion-with-latent-map-gaussian-processes-2112.02206</loc><lastmod>2022-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-fusion-with-latent-map-gaussian-processes-2112.02206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-fusion-with-latent-map-gaussian-processes-2112.02206"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-likelihood-ratio-test-for-adversarially-robust-hypothesis-testing-2112.02209</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-likelihood-ratio-test-for-adversarially-robust-hypothesis-testing-2112.02209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-likelihood-ratio-test-for-adversarially-robust-hypothesis-testing-2112.02209"/></url>
<url><loc>https://scifaro.com/en/abs/local-adaptivity-of-gradient-boosting-in-histogram-transform-ensemble-learning-2112.02589</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-adaptivity-of-gradient-boosting-in-histogram-transform-ensemble-learning-2112.02589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-adaptivity-of-gradient-boosting-in-histogram-transform-ensemble-learning-2112.02589"/></url>
<url><loc>https://scifaro.com/en/abs/incentive-compatible-pareto-alignment-for-multi-source-large-graphs-2112.02792</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incentive-compatible-pareto-alignment-for-multi-source-large-graphs-2112.02792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incentive-compatible-pareto-alignment-for-multi-source-large-graphs-2112.02792"/></url>
<url><loc>https://scifaro.com/en/abs/two-step-lookahead-bayesian-optimization-with-inequality-constraints-2112.02833</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-step-lookahead-bayesian-optimization-with-inequality-constraints-2112.02833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-step-lookahead-bayesian-optimization-with-inequality-constraints-2112.02833"/></url>
<url><loc>https://scifaro.com/en/abs/deconfounding-temporal-autoencoder-estimating-treatment-effects-over-time-using-noisy-proxies-2112.03013</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deconfounding-temporal-autoencoder-estimating-treatment-effects-over-time-using-noisy-proxies-2112.03013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deconfounding-temporal-autoencoder-estimating-treatment-effects-over-time-using-noisy-proxies-2112.03013"/></url>
<url><loc>https://scifaro.com/en/abs/flood-inflow-forecast-using-l2-norm-ensemble-weighting-sea-surface-feature-2112.03108</loc><lastmod>2022-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flood-inflow-forecast-using-l2-norm-ensemble-weighting-sea-surface-feature-2112.03108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flood-inflow-forecast-using-l2-norm-ensemble-weighting-sea-surface-feature-2112.03108"/></url>
<url><loc>https://scifaro.com/en/abs/online-false-discovery-rate-control-for-anomaly-detection-in-time-series-2112.03196</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-false-discovery-rate-control-for-anomaly-detection-in-time-series-2112.03196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-false-discovery-rate-control-for-anomaly-detection-in-time-series-2112.03196"/></url>
<url><loc>https://scifaro.com/en/abs/using-image-transformations-to-learn-network-structure-2112.03419</loc><lastmod>2023-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-image-transformations-to-learn-network-structure-2112.03419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-image-transformations-to-learn-network-structure-2112.03419"/></url>
<url><loc>https://scifaro.com/en/abs/training-deep-models-to-be-explained-with-fewer-examples-2112.03508</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-deep-models-to-be-explained-with-fewer-examples-2112.03508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-deep-models-to-be-explained-with-fewer-examples-2112.03508"/></url>
<url><loc>https://scifaro.com/en/abs/private-robust-estimation-by-stabilizing-convex-relaxations-2112.03548</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-robust-estimation-by-stabilizing-convex-relaxations-2112.03548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-robust-estimation-by-stabilizing-convex-relaxations-2112.03548"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-square-loss-in-training-overparametrized-neural-network-classifiers-2112.03657</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-square-loss-in-training-overparametrized-neural-network-classifiers-2112.03657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-square-loss-in-training-overparametrized-neural-network-classifiers-2112.03657"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalization-gap-estimation-for-overparameterized-models-via-the-langevin-functional-variance-2112.03660</loc><lastmod>2023-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalization-gap-estimation-for-overparameterized-models-via-the-langevin-functional-variance-2112.03660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalization-gap-estimation-for-overparameterized-models-via-the-langevin-functional-variance-2112.03660"/></url>
<url><loc>https://scifaro.com/en/abs/multiway-ensemble-kalman-filter-2112.04322</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiway-ensemble-kalman-filter-2112.04322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiway-ensemble-kalman-filter-2112.04322"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-in-rotationally-invariant-generalized-linear-models-via-approximate-message-passing-2112.04330</loc><lastmod>2022-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-in-rotationally-invariant-generalized-linear-models-via-approximate-message-passing-2112.04330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-in-rotationally-invariant-generalized-linear-models-via-approximate-message-passing-2112.04330"/></url>
<url><loc>https://scifaro.com/en/abs/optimistic-rates-a-unifying-theory-for-interpolation-learning-and-regularization-in-linear-regression-2112.04470</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimistic-rates-a-unifying-theory-for-interpolation-learning-and-regularization-in-linear-regression-2112.04470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimistic-rates-a-unifying-theory-for-interpolation-learning-and-regularization-in-linear-regression-2112.04470"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-comparison-of-f-measures-2112.04677</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-comparison-of-f-measures-2112.04677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-comparison-of-f-measures-2112.04677"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-modal-regression-on-markov-dependent-observations-a-theoretical-assessment-2112.04779</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-modal-regression-on-markov-dependent-observations-a-theoretical-assessment-2112.04779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-modal-regression-on-markov-dependent-observations-a-theoretical-assessment-2112.04779"/></url>
<url><loc>https://scifaro.com/en/abs/avoiding-c-hacking-when-evaluating-survival-distribution-predictions-with-discrimination-measures-2112.04828</loc><lastmod>2022-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/avoiding-c-hacking-when-evaluating-survival-distribution-predictions-with-discrimination-measures-2112.04828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/avoiding-c-hacking-when-evaluating-survival-distribution-predictions-with-discrimination-measures-2112.04828"/></url>
<url><loc>https://scifaro.com/en/abs/forecast-evaluation-in-large-cross-sections-of-realized-volatility-2112.04887</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecast-evaluation-in-large-cross-sections-of-realized-volatility-2112.04887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecast-evaluation-in-large-cross-sections-of-realized-volatility-2112.04887"/></url>
<url><loc>https://scifaro.com/en/abs/provable-continual-learning-via-sketched-jacobian-approximations-2112.05095</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-continual-learning-via-sketched-jacobian-approximations-2112.05095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-continual-learning-via-sketched-jacobian-approximations-2112.05095"/></url>
<url><loc>https://scifaro.com/en/abs/on-convergence-of-federated-averaging-langevin-dynamics-2112.05120</loc><lastmod>2023-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-convergence-of-federated-averaging-langevin-dynamics-2112.05120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-convergence-of-federated-averaging-langevin-dynamics-2112.05120"/></url>
<url><loc>https://scifaro.com/en/abs/fair-community-detection-and-structure-learning-in-heterogeneous-graphical-models-2112.05128</loc><lastmod>2026-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-community-detection-and-structure-learning-in-heterogeneous-graphical-models-2112.05128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-community-detection-and-structure-learning-in-heterogeneous-graphical-models-2112.05128"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-relation-between-prediction-and-imputation-accuracy-under-missing-covariates-2112.05248</loc><lastmod>2022-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-relation-between-prediction-and-imputation-accuracy-under-missing-covariates-2112.05248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-relation-between-prediction-and-imputation-accuracy-under-missing-covariates-2112.05248"/></url>
<url><loc>https://scifaro.com/en/abs/a-sparse-expansion-for-deep-gaussian-processes-2112.05888</loc><lastmod>2023-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sparse-expansion-for-deep-gaussian-processes-2112.05888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sparse-expansion-for-deep-gaussian-processes-2112.05888"/></url>
<url><loc>https://scifaro.com/en/abs/test-set-sizing-via-random-matrix-theory-2112.05977</loc><lastmod>2022-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/test-set-sizing-via-random-matrix-theory-2112.05977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/test-set-sizing-via-random-matrix-theory-2112.05977"/></url>
<url><loc>https://scifaro.com/en/abs/determinantal-point-processes-based-on-orthogonal-polynomials-for-sampling-minibatches-in-sgd-2112.06007</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/determinantal-point-processes-based-on-orthogonal-polynomials-for-sampling-minibatches-in-sgd-2112.06007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/determinantal-point-processes-based-on-orthogonal-polynomials-for-sampling-minibatches-in-sgd-2112.06007"/></url>
<url><loc>https://scifaro.com/en/abs/confidence-intervals-for-the-random-forest-generalization-error-2112.06101</loc><lastmod>2022-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidence-intervals-for-the-random-forest-generalization-error-2112.06101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidence-intervals-for-the-random-forest-generalization-error-2112.06101"/></url>
<url><loc>https://scifaro.com/en/abs/markov-subsampling-based-huber-criterion-2112.06134</loc><lastmod>2022-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-subsampling-based-huber-criterion-2112.06134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-subsampling-based-huber-criterion-2112.06134"/></url>
<url><loc>https://scifaro.com/en/abs/how-good-are-low-rank-approximations-in-gaussian-process-regression-2112.06410</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-good-are-low-rank-approximations-in-gaussian-process-regression-2112.06410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-good-are-low-rank-approximations-in-gaussian-process-regression-2112.06410"/></url>
<url><loc>https://scifaro.com/en/abs/robust-factored-principal-component-analysis-for-matrix-valued-outlier-accommodation-and-detection-2112.06760</loc><lastmod>2023-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-factored-principal-component-analysis-for-matrix-valued-outlier-accommodation-and-detection-2112.06760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-factored-principal-component-analysis-for-matrix-valued-outlier-accommodation-and-detection-2112.06760"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-independent-component-analysis-2112.06920</loc><lastmod>2022-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-independent-component-analysis-2112.06920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-independent-component-analysis-2112.06920"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-learning-of-correlation-potentials-for-a-time-dependent-kohn-sham-system-2112.07067</loc><lastmod>2022-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-learning-of-correlation-potentials-for-a-time-dependent-kohn-sham-system-2112.07067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-learning-of-correlation-potentials-for-a-time-dependent-kohn-sham-system-2112.07067"/></url>
<url><loc>https://scifaro.com/en/abs/score-based-generative-modeling-with-critically-damped-langevin-diffusion-2112.07068</loc><lastmod>2022-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/score-based-generative-modeling-with-critically-damped-langevin-diffusion-2112.07068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/score-based-generative-modeling-with-critically-damped-langevin-diffusion-2112.07068"/></url>
<url><loc>https://scifaro.com/en/abs/non-asymptotic-analysis-of-online-multiplicative-stochastic-gradient-descent-2112.07110</loc><lastmod>2023-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-asymptotic-analysis-of-online-multiplicative-stochastic-gradient-descent-2112.07110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-asymptotic-analysis-of-online-multiplicative-stochastic-gradient-descent-2112.07110"/></url>
<url><loc>https://scifaro.com/en/abs/inductive-semi-supervised-learning-through-optimal-transport-2112.07262</loc><lastmod>2021-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inductive-semi-supervised-learning-through-optimal-transport-2112.07262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inductive-semi-supervised-learning-through-optimal-transport-2112.07262"/></url>
<url><loc>https://scifaro.com/en/abs/variable-selection-and-regularization-via-arbitrary-rectangle-range-generalized-elastic-net-2112.07785</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-selection-and-regularization-via-arbitrary-rectangle-range-generalized-elastic-net-2112.07785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-selection-and-regularization-via-arbitrary-rectangle-range-generalized-elastic-net-2112.07785"/></url>
<url><loc>https://scifaro.com/en/abs/robust-neural-network-classification-via-double-regularization-2112.08102</loc><lastmod>2022-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-neural-network-classification-via-double-regularization-2112.08102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-neural-network-classification-via-double-regularization-2112.08102"/></url>
<url><loc>https://scifaro.com/en/abs/trialgraph-machine-intelligence-enabled-insight-from-graph-modelling-of-clinical-trials-2112.08211</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trialgraph-machine-intelligence-enabled-insight-from-graph-modelling-of-clinical-trials-2112.08211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trialgraph-machine-intelligence-enabled-insight-from-graph-modelling-of-clinical-trials-2112.08211"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-forecasting-with-generative-networks-via-scoring-rule-minimization-2112.08217</loc><lastmod>2024-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-forecasting-with-generative-networks-via-scoring-rule-minimization-2112.08217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-forecasting-with-generative-networks-via-scoring-rule-minimization-2112.08217"/></url>
<url><loc>https://scifaro.com/en/abs/classification-under-ambiguity-when-is-average-k-better-than-top-k-2112.08851</loc><lastmod>2021-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-under-ambiguity-when-is-average-k-better-than-top-k-2112.08851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-under-ambiguity-when-is-average-k-better-than-top-k-2112.08851"/></url>
<url><loc>https://scifaro.com/en/abs/the-dual-pc-algorithm-and-the-role-of-gaussianity-for-structure-learning-of-bayesian-networks-2112.09036</loc><lastmod>2023-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-dual-pc-algorithm-and-the-role-of-gaussianity-for-structure-learning-of-bayesian-networks-2112.09036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-dual-pc-algorithm-and-the-role-of-gaussianity-for-structure-learning-of-bayesian-networks-2112.09036"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-locally-linear-embedding-scheme-in-light-of-hessian-eigenmap-2112.09086</loc><lastmod>2021-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-locally-linear-embedding-scheme-in-light-of-hessian-eigenmap-2112.09086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-locally-linear-embedding-scheme-in-light-of-hessian-eigenmap-2112.09086"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-inference-in-bayesian-networks-2112.09217</loc><lastmod>2022-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-inference-in-bayesian-networks-2112.09217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-inference-in-bayesian-networks-2112.09217"/></url>
<url><loc>https://scifaro.com/en/abs/fair-active-learning-solving-the-labeling-problem-in-insurance-2112.09466</loc><lastmod>2024-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-active-learning-solving-the-labeling-problem-in-insurance-2112.09466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-active-learning-solving-the-labeling-problem-in-insurance-2112.09466"/></url>
<url><loc>https://scifaro.com/en/abs/correlated-product-of-experts-for-sparse-gaussian-process-regression-2112.09519</loc><lastmod>2021-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlated-product-of-experts-for-sparse-gaussian-process-regression-2112.09519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlated-product-of-experts-for-sparse-gaussian-process-regression-2112.09519"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-multivariate-learning-with-simultaneous-feature-auto-grouping-and-dimension-reduction-2112.09746</loc><lastmod>2022-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-multivariate-learning-with-simultaneous-feature-auto-grouping-and-dimension-reduction-2112.09746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-multivariate-learning-with-simultaneous-feature-auto-grouping-and-dimension-reduction-2112.09746"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-probabilistic-inverse-optimal-transport-2112.09754</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-probabilistic-inverse-optimal-transport-2112.09754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-probabilistic-inverse-optimal-transport-2112.09754"/></url>
<url><loc>https://scifaro.com/en/abs/multimeasurement-generative-models-2112.09822</loc><lastmod>2022-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimeasurement-generative-models-2112.09822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimeasurement-generative-models-2112.09822"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-evaluation-using-information-borrowing-and-context-based-switching-2112.09865</loc><lastmod>2024-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-evaluation-using-information-borrowing-and-context-based-switching-2112.09865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-evaluation-using-information-borrowing-and-context-based-switching-2112.09865"/></url>
<url><loc>https://scifaro.com/en/abs/information-field-theory-and-artificial-intelligence-2112.10133</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-field-theory-and-artificial-intelligence-2112.10133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-field-theory-and-artificial-intelligence-2112.10133"/></url>
<url><loc>https://scifaro.com/en/abs/relax-representation-learning-explainability-2112.10161</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relax-representation-learning-explainability-2112.10161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relax-representation-learning-explainability-2112.10161"/></url>
<url><loc>https://scifaro.com/en/abs/stable-conformal-prediction-sets-2112.10224</loc><lastmod>2022-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-conformal-prediction-sets-2112.10224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-conformal-prediction-sets-2112.10224"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-clustering-with-missing-not-at-random-data-2112.10425</loc><lastmod>2023-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-clustering-with-missing-not-at-random-data-2112.10425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-clustering-with-missing-not-at-random-data-2112.10425"/></url>
<url><loc>https://scifaro.com/en/abs/an-iterative-clustering-algorithm-for-the-contextual-stochastic-block-model-with-optimality-guarantees-2112.10467</loc><lastmod>2022-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-iterative-clustering-algorithm-for-the-contextual-stochastic-block-model-with-optimality-guarantees-2112.10467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-iterative-clustering-algorithm-for-the-contextual-stochastic-block-model-with-optimality-guarantees-2112.10467"/></url>
<url><loc>https://scifaro.com/en/abs/joint-learning-of-linear-time-invariant-dynamical-systems-2112.10955</loc><lastmod>2024-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-learning-of-linear-time-invariant-dynamical-systems-2112.10955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-learning-of-linear-time-invariant-dynamical-systems-2112.10955"/></url>
<url><loc>https://scifaro.com/en/abs/differentiated-uniformization-a-new-method-for-inferring-markov-chains-on-combinatorial-state-spaces-including-stochastic-epidemic-models-2112.10971</loc><lastmod>2021-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiated-uniformization-a-new-method-for-inferring-markov-chains-on-combinatorial-state-spaces-including-stochastic-epidemic-models-2112.10971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiated-uniformization-a-new-method-for-inferring-markov-chains-on-combinatorial-state-spaces-including-stochastic-epidemic-models-2112.10971"/></url>
<url><loc>https://scifaro.com/en/abs/nn2poly-a-polynomial-representation-for-deep-feed-forward-artificial-neural-networks-2112.11397</loc><lastmod>2023-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nn2poly-a-polynomial-representation-for-deep-feed-forward-artificial-neural-networks-2112.11397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nn2poly-a-polynomial-representation-for-deep-feed-forward-artificial-neural-networks-2112.11397"/></url>
<url><loc>https://scifaro.com/en/abs/entropic-herding-2112.11616</loc><lastmod>2023-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropic-herding-2112.11616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropic-herding-2112.11616"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-likelihoods-for-variational-annealed-importance-sampling-2112.12194</loc><lastmod>2022-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-likelihoods-for-variational-annealed-importance-sampling-2112.12194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-likelihoods-for-variational-annealed-importance-sampling-2112.12194"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-graph-representation-learning-for-neuronal-morphologies-2112.12482</loc><lastmod>2023-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-graph-representation-learning-for-neuronal-morphologies-2112.12482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-graph-representation-learning-for-neuronal-morphologies-2112.12482"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-variable-clustering-for-high-dimensional-matrix-valued-data-2112.12909</loc><lastmod>2023-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-variable-clustering-for-high-dimensional-matrix-valued-data-2112.12909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-variable-clustering-for-high-dimensional-matrix-valued-data-2112.12909"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-model-averaging-of-support-vector-machines-in-diverging-model-spaces-2112.12961</loc><lastmod>2022-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-model-averaging-of-support-vector-machines-in-diverging-model-spaces-2112.12961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-model-averaging-of-support-vector-machines-in-diverging-model-spaces-2112.12961"/></url>
<url><loc>https://scifaro.com/en/abs/toeplitz-least-squares-problems-fast-algorithms-and-big-data-2112.12994</loc><lastmod>2021-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toeplitz-least-squares-problems-fast-algorithms-and-big-data-2112.12994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toeplitz-least-squares-problems-fast-algorithms-and-big-data-2112.12994"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-and-instance-optimal-policy-evaluation-with-linear-function-approximation-2112.13109</loc><lastmod>2022-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-and-instance-optimal-policy-evaluation-with-linear-function-approximation-2112.13109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-and-instance-optimal-policy-evaluation-with-linear-function-approximation-2112.13109"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-quality-of-dna-sequence-data-via-degradation-2112.13111</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-quality-of-dna-sequence-data-via-degradation-2112.13111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-quality-of-dna-sequence-data-via-degradation-2112.13111"/></url>
<url><loc>https://scifaro.com/en/abs/a-spectral-method-for-joint-community-detection-and-orthogonal-group-synchronization-2112.13199</loc><lastmod>2022-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-spectral-method-for-joint-community-detection-and-orthogonal-group-synchronization-2112.13199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-spectral-method-for-joint-community-detection-and-orthogonal-group-synchronization-2112.13199"/></url>
<url><loc>https://scifaro.com/en/abs/prevalence-threshold-and-bounds-in-the-accuracy-of-binary-classification-systems-2112.13289</loc><lastmod>2021-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prevalence-threshold-and-bounds-in-the-accuracy-of-binary-classification-systems-2112.13289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prevalence-threshold-and-bounds-in-the-accuracy-of-binary-classification-systems-2112.13289"/></url>
<url><loc>https://scifaro.com/en/abs/quasi-taylor-samplers-for-diffusion-generative-models-based-on-ideal-derivatives-2112.13339</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quasi-taylor-samplers-for-diffusion-generative-models-based-on-ideal-derivatives-2112.13339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quasi-taylor-samplers-for-diffusion-generative-models-based-on-ideal-derivatives-2112.13339"/></url>
<url><loc>https://scifaro.com/en/abs/computationally-efficient-approximations-for-matrix-based-renyi-s-entropy-2112.13720</loc><lastmod>2023-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computationally-efficient-approximations-for-matrix-based-renyi-s-entropy-2112.13720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computationally-efficient-approximations-for-matrix-based-renyi-s-entropy-2112.13720"/></url>
<url><loc>https://scifaro.com/en/abs/improving-nonparametric-classification-via-local-radial-regression-with-an-application-to-stock-prediction-2112.13951</loc><lastmod>2022-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-nonparametric-classification-via-local-radial-regression-with-an-application-to-stock-prediction-2112.13951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-nonparametric-classification-via-local-radial-regression-with-an-application-to-stock-prediction-2112.13951"/></url>
<url><loc>https://scifaro.com/en/abs/multitask-learning-and-bandits-via-robust-statistics-2112.14233</loc><lastmod>2024-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multitask-learning-and-bandits-via-robust-statistics-2112.14233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multitask-learning-and-bandits-via-robust-statistics-2112.14233"/></url>
<url><loc>https://scifaro.com/en/abs/nested-nonparametric-instrumental-variable-regression-2112.14249</loc><lastmod>2025-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nested-nonparametric-instrumental-variable-regression-2112.14249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nested-nonparametric-instrumental-variable-regression-2112.14249"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-analysis-of-polyak-ruppert-averaged-q-learning-2112.14582</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-analysis-of-polyak-ruppert-averaged-q-learning-2112.14582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-analysis-of-polyak-ruppert-averaged-q-learning-2112.14582"/></url>
<url><loc>https://scifaro.com/en/abs/nonconvex-stochastic-scaled-gradient-descent-and-generalized-eigenvector-problems-2112.14738</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonconvex-stochastic-scaled-gradient-descent-and-generalized-eigenvector-problems-2112.14738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonconvex-stochastic-scaled-gradient-descent-and-generalized-eigenvector-problems-2112.14738"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-trend-filtering-for-lattice-data-2112.14758</loc><lastmod>2024-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-trend-filtering-for-lattice-data-2112.14758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-trend-filtering-for-lattice-data-2112.14758"/></url>
<url><loc>https://scifaro.com/en/abs/the-samme-c2-algorithm-for-severely-imbalanced-multi-class-classification-2112.14868</loc><lastmod>2022-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-samme-c2-algorithm-for-severely-imbalanced-multi-class-classification-2112.14868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-samme-c2-algorithm-for-severely-imbalanced-multi-class-classification-2112.14868"/></url>
<url><loc>https://scifaro.com/en/abs/entropy-regularized-optimal-transport-independence-criterion-2112.15265</loc><lastmod>2022-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropy-regularized-optimal-transport-independence-criterion-2112.15265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropy-regularized-optimal-transport-independence-criterion-2112.15265"/></url>
<url><loc>https://scifaro.com/en/abs/separation-of-scales-and-a-thermodynamic-description-of-feature-learning-in-some-cnns-2112.15383</loc><lastmod>2022-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/separation-of-scales-and-a-thermodynamic-description-of-feature-learning-in-some-cnns-2112.15383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/separation-of-scales-and-a-thermodynamic-description-of-feature-learning-in-some-cnns-2112.15383"/></url>
<url><loc>https://scifaro.com/en/abs/triangular-flows-for-generative-modeling-statistical-consistency-smoothness-classes-and-fast-rates-2112.15595</loc><lastmod>2022-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/triangular-flows-for-generative-modeling-statistical-consistency-smoothness-classes-and-fast-rates-2112.15595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/triangular-flows-for-generative-modeling-statistical-consistency-smoothness-classes-and-fast-rates-2112.15595"/></url>
<url><loc>https://scifaro.com/en/abs/deep-nonparametric-estimation-of-operators-between-infinite-dimensional-spaces-2201.00217</loc><lastmod>2022-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-nonparametric-estimation-of-operators-between-infinite-dimensional-spaces-2201.00217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-nonparametric-estimation-of-operators-between-infinite-dimensional-spaces-2201.00217"/></url>
<url><loc>https://scifaro.com/en/abs/recover-the-spectrum-of-covariance-matrix-a-non-asymptotic-iterative-method-2201.00230</loc><lastmod>2022-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recover-the-spectrum-of-covariance-matrix-a-non-asymptotic-iterative-method-2201.00230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recover-the-spectrum-of-covariance-matrix-a-non-asymptotic-iterative-method-2201.00230"/></url>
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<url><loc>https://scifaro.com/en/abs/heterogeneous-calibration-a-post-hoc-model-agnostic-framework-for-improved-generalization-2202.04837</loc><lastmod>2022-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-calibration-a-post-hoc-model-agnostic-framework-for-improved-generalization-2202.04837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-calibration-a-post-hoc-model-agnostic-framework-for-improved-generalization-2202.04837"/></url>
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<url><loc>https://scifaro.com/en/abs/a-density-peaks-clustering-algorithm-with-sparse-search-and-k-d-tree-2203.00973</loc><lastmod>2022-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-density-peaks-clustering-algorithm-with-sparse-search-and-k-d-tree-2203.00973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-density-peaks-clustering-algorithm-with-sparse-search-and-k-d-tree-2203.00973"/></url>
<url><loc>https://scifaro.com/en/abs/chained-generalisation-bounds-2203.00977</loc><lastmod>2022-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chained-generalisation-bounds-2203.00977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chained-generalisation-bounds-2203.00977"/></url>
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<url><loc>https://scifaro.com/en/abs/estimating-conditional-average-treatment-effects-with-missing-treatment-information-2203.01422</loc><lastmod>2023-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-conditional-average-treatment-effects-with-missing-treatment-information-2203.01422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-conditional-average-treatment-effects-with-missing-treatment-information-2203.01422"/></url>
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<url><loc>https://scifaro.com/en/abs/symmetry-structured-convolutional-neural-networks-2203.02056</loc><lastmod>2022-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symmetry-structured-convolutional-neural-networks-2203.02056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symmetry-structured-convolutional-neural-networks-2203.02056"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-latent-variables-in-deep-state-space-models-2203.02057</loc><lastmod>2022-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-latent-variables-in-deep-state-space-models-2203.02057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-latent-variables-in-deep-state-space-models-2203.02057"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-local-model-agnostic-explanations-of-learning-to-rank-models-with-decision-paths-2203.02295</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-local-model-agnostic-explanations-of-learning-to-rank-models-with-decision-paths-2203.02295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-local-model-agnostic-explanations-of-learning-to-rank-models-with-decision-paths-2203.02295"/></url>
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<url><loc>https://scifaro.com/en/abs/compartmental-models-for-covid-19-and-control-via-policy-interventions-2203.02860</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compartmental-models-for-covid-19-and-control-via-policy-interventions-2203.02860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compartmental-models-for-covid-19-and-control-via-policy-interventions-2203.02860"/></url>
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<url><loc>https://scifaro.com/en/abs/data-representativity-for-machine-learning-and-ai-systems-2203.04706</loc><lastmod>2023-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-representativity-for-machine-learning-and-ai-systems-2203.04706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-representativity-for-machine-learning-and-ai-systems-2203.04706"/></url>
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<url><loc>https://scifaro.com/en/abs/deep-learning-for-the-benes-filter-2203.05561</loc><lastmod>2023-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-the-benes-filter-2203.05561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-the-benes-filter-2203.05561"/></url>
<url><loc>https://scifaro.com/en/abs/koopman-methods-for-estimation-of-animal-motions-over-unknown-submanifolds-2203.05646</loc><lastmod>2022-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/koopman-methods-for-estimation-of-animal-motions-over-unknown-submanifolds-2203.05646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/koopman-methods-for-estimation-of-animal-motions-over-unknown-submanifolds-2203.05646"/></url>
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<url><loc>https://scifaro.com/en/abs/learning-hidden-markov-models-when-the-locations-of-missing-observations-are-unknown-2203.06527</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-hidden-markov-models-when-the-locations-of-missing-observations-are-unknown-2203.06527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-hidden-markov-models-when-the-locations-of-missing-observations-are-unknown-2203.06527"/></url>
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<url><loc>https://scifaro.com/en/abs/don-t-fear-the-unlabelled-safe-semi-supervised-learning-via-simple-debiasing-2203.07512</loc><lastmod>2023-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/don-t-fear-the-unlabelled-safe-semi-supervised-learning-via-simple-debiasing-2203.07512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/don-t-fear-the-unlabelled-safe-semi-supervised-learning-via-simple-debiasing-2203.07512"/></url>
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<url><loc>https://scifaro.com/en/abs/gaussian-mixture-modeling-of-nodes-in-bayesian-network-according-to-maximal-parental-cliques-2204.09532</loc><lastmod>2022-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-mixture-modeling-of-nodes-in-bayesian-network-according-to-maximal-parental-cliques-2204.09532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-mixture-modeling-of-nodes-in-bayesian-network-according-to-maximal-parental-cliques-2204.09532"/></url>
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<url><loc>https://scifaro.com/en/abs/ultra-marginal-feature-importance-learning-from-data-with-causal-guarantees-2204.09938</loc><lastmod>2024-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ultra-marginal-feature-importance-learning-from-data-with-causal-guarantees-2204.09938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ultra-marginal-feature-importance-learning-from-data-with-causal-guarantees-2204.09938"/></url>
<url><loc>https://scifaro.com/en/abs/3d-pride-without-2d-prejudice-bias-controlled-multi-level-generative-models-for-structure-based-ligand-design-2204.10663</loc><lastmod>2022-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/3d-pride-without-2d-prejudice-bias-controlled-multi-level-generative-models-for-structure-based-ligand-design-2204.10663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/3d-pride-without-2d-prejudice-bias-controlled-multi-level-generative-models-for-structure-based-ligand-design-2204.10663"/></url>
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<url><loc>https://scifaro.com/en/abs/az-whiteness-test-a-test-for-uncorrelated-noise-on-spatio-temporal-graphs-2204.11135</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/az-whiteness-test-a-test-for-uncorrelated-noise-on-spatio-temporal-graphs-2204.11135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/az-whiteness-test-a-test-for-uncorrelated-noise-on-spatio-temporal-graphs-2204.11135"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-inference-in-sparse-coding-models-with-langevin-dynamics-2204.11150</loc><lastmod>2022-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-inference-in-sparse-coding-models-with-langevin-dynamics-2204.11150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-inference-in-sparse-coding-models-with-langevin-dynamics-2204.11150"/></url>
<url><loc>https://scifaro.com/en/abs/complete-policy-regret-bounds-for-tallying-bandits-2204.11174</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complete-policy-regret-bounds-for-tallying-bandits-2204.11174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complete-policy-regret-bounds-for-tallying-bandits-2204.11174"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-neural-networks-to-gaussian-mixture-distribution-2204.12100</loc><lastmod>2022-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-neural-networks-to-gaussian-mixture-distribution-2204.12100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-neural-networks-to-gaussian-mixture-distribution-2204.12100"/></url>
<url><loc>https://scifaro.com/en/abs/bias-variance-decompositions-for-margin-losses-2204.12155</loc><lastmod>2022-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bias-variance-decompositions-for-margin-losses-2204.12155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bias-variance-decompositions-for-margin-losses-2204.12155"/></url>
<url><loc>https://scifaro.com/en/abs/learning-reversible-symplectic-dynamics-2204.12323</loc><lastmod>2022-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-reversible-symplectic-dynamics-2204.12323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-reversible-symplectic-dynamics-2204.12323"/></url>
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<url><loc>https://scifaro.com/en/abs/scalable-regularised-joint-mixture-models-2205.01486</loc><lastmod>2022-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-regularised-joint-mixture-models-2205.01486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-regularised-joint-mixture-models-2205.01486"/></url>
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<url><loc>https://scifaro.com/en/abs/b-ezier-curve-gaussian-processes-2205.01754</loc><lastmod>2022-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/b-ezier-curve-gaussian-processes-2205.01754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/b-ezier-curve-gaussian-processes-2205.01754"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-based-framework-for-robust-price-sensitivity-estimation-with-application-to-airline-pricing-2205.01875</loc><lastmod>2022-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-based-framework-for-robust-price-sensitivity-estimation-with-application-to-airline-pricing-2205.01875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-based-framework-for-robust-price-sensitivity-estimation-with-application-to-airline-pricing-2205.01875"/></url>
<url><loc>https://scifaro.com/en/abs/a-manifold-two-sample-test-study-integral-probability-metric-with-neural-networks-2205.02043</loc><lastmod>2023-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-manifold-two-sample-test-study-integral-probability-metric-with-neural-networks-2205.02043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-manifold-two-sample-test-study-integral-probability-metric-with-neural-networks-2205.02043"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-prediction-intervals-for-random-forests-2205.02260</loc><lastmod>2022-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-prediction-intervals-for-random-forests-2205.02260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-prediction-intervals-for-random-forests-2205.02260"/></url>
<url><loc>https://scifaro.com/en/abs/deepbayes-an-estimator-for-parameter-estimation-in-stochastic-nonlinear-dynamical-models-2205.02264</loc><lastmod>2022-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepbayes-an-estimator-for-parameter-estimation-in-stochastic-nonlinear-dynamical-models-2205.02264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepbayes-an-estimator-for-parameter-estimation-in-stochastic-nonlinear-dynamical-models-2205.02264"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-importance-sampling-for-hybrid-model-bayesian-inference-to-support-bioprocess-mechanism-learning-and-robust-control-2205.02410</loc><lastmod>2022-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-importance-sampling-for-hybrid-model-bayesian-inference-to-support-bioprocess-mechanism-learning-and-robust-control-2205.02410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-importance-sampling-for-hybrid-model-bayesian-inference-to-support-bioprocess-mechanism-learning-and-robust-control-2205.02410"/></url>
<url><loc>https://scifaro.com/en/abs/generative-methods-for-sampling-transition-paths-in-molecular-dynamics-2205.02818</loc><lastmod>2023-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-methods-for-sampling-transition-paths-in-molecular-dynamics-2205.02818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-methods-for-sampling-transition-paths-in-molecular-dynamics-2205.02818"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-multi-class-anomaly-detection-on-functional-data-2205.02935</loc><lastmod>2022-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-multi-class-anomaly-detection-on-functional-data-2205.02935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-multi-class-anomaly-detection-on-functional-data-2205.02935"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-learning-constrained-by-realizations-using-a-weak-formulation-of-fourier-transform-of-probability-measures-2205.03078</loc><lastmod>2022-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-learning-constrained-by-realizations-using-a-weak-formulation-of-fourier-transform-of-probability-measures-2205.03078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-learning-constrained-by-realizations-using-a-weak-formulation-of-fourier-transform-of-probability-measures-2205.03078"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-computation-of-prediction-intervals-for-neural-networks-via-matrix-sketching-2205.03194</loc><lastmod>2022-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-computation-of-prediction-intervals-for-neural-networks-via-matrix-sketching-2205.03194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-computation-of-prediction-intervals-for-neural-networks-via-matrix-sketching-2205.03194"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-econometric-and-machine-learning-methodologies-in-nowcasting-2205.03318</loc><lastmod>2022-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-econometric-and-machine-learning-methodologies-in-nowcasting-2205.03318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-econometric-and-machine-learning-methodologies-in-nowcasting-2205.03318"/></url>
<url><loc>https://scifaro.com/en/abs/structure-learning-in-graphical-models-from-indirect-observations-2205.03454</loc><lastmod>2022-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-learning-in-graphical-models-from-indirect-observations-2205.03454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-learning-in-graphical-models-from-indirect-observations-2205.03454"/></url>
<url><loc>https://scifaro.com/en/abs/clustered-graph-matching-for-label-recovery-and-graph-classification-2205.03486</loc><lastmod>2023-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustered-graph-matching-for-label-recovery-and-graph-classification-2205.03486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustered-graph-matching-for-label-recovery-and-graph-classification-2205.03486"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-spatio-temporal-forecasting-application-to-solar-energy-2205.03571</loc><lastmod>2022-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-spatio-temporal-forecasting-application-to-solar-energy-2205.03571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-spatio-temporal-forecasting-application-to-solar-energy-2205.03571"/></url>
<url><loc>https://scifaro.com/en/abs/determination-of-class-specific-variables-in-nonparametric-multiple-class-classification-2205.03623</loc><lastmod>2022-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/determination-of-class-specific-variables-in-nonparametric-multiple-class-classification-2205.03623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/determination-of-class-specific-variables-in-nonparametric-multiple-class-classification-2205.03623"/></url>
<url><loc>https://scifaro.com/en/abs/some-performance-considerations-when-using-multi-armed-bandit-algorithms-in-the-presence-of-missing-data-2205.03820</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/some-performance-considerations-when-using-multi-armed-bandit-algorithms-in-the-presence-of-missing-data-2205.03820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/some-performance-considerations-when-using-multi-armed-bandit-algorithms-in-the-presence-of-missing-data-2205.03820"/></url>
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<url><loc>https://scifaro.com/en/abs/matrix-and-graph-representations-of-vine-copula-structures-2205.04783</loc><lastmod>2023-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-and-graph-representations-of-vine-copula-structures-2205.04783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-and-graph-representations-of-vine-copula-structures-2205.04783"/></url>
<url><loc>https://scifaro.com/en/abs/don-t-throw-it-away-the-utility-of-unlabeled-data-in-fair-decision-making-2205.04790</loc><lastmod>2022-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/don-t-throw-it-away-the-utility-of-unlabeled-data-in-fair-decision-making-2205.04790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/don-t-throw-it-away-the-utility-of-unlabeled-data-in-fair-decision-making-2205.04790"/></url>
<url><loc>https://scifaro.com/en/abs/turtle-score-similarity-based-developer-analyzer-2205.04876</loc><lastmod>2022-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/turtle-score-similarity-based-developer-analyzer-2205.04876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/turtle-score-similarity-based-developer-analyzer-2205.04876"/></url>
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<url><loc>https://scifaro.com/en/abs/learning-multitask-gaussian-bayesian-networks-2205.05343</loc><lastmod>2022-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-multitask-gaussian-bayesian-networks-2205.05343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-multitask-gaussian-bayesian-networks-2205.05343"/></url>
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<url><loc>https://scifaro.com/en/abs/analysis-of-convolutional-neural-network-image-classifiers-in-a-rotationally-symmetric-model-2205.05500</loc><lastmod>2022-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-convolutional-neural-network-image-classifiers-in-a-rotationally-symmetric-model-2205.05500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-convolutional-neural-network-image-classifiers-in-a-rotationally-symmetric-model-2205.05500"/></url>
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<url><loc>https://scifaro.com/en/abs/a-comparison-of-pinn-approaches-for-drift-diffusion-equations-on-metric-graphs-2205.07195</loc><lastmod>2022-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-pinn-approaches-for-drift-diffusion-equations-on-metric-graphs-2205.07195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-pinn-approaches-for-drift-diffusion-equations-on-metric-graphs-2205.07195"/></url>
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<url><loc>https://scifaro.com/en/abs/optimal-randomized-approximations-for-matrix-based-renyi-s-entropy-2205.07426</loc><lastmod>2022-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-randomized-approximations-for-matrix-based-renyi-s-entropy-2205.07426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-randomized-approximations-for-matrix-based-renyi-s-entropy-2205.07426"/></url>
<url><loc>https://scifaro.com/en/abs/mixflows-principled-variational-inference-via-mixed-flows-2205.07475</loc><lastmod>2025-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixflows-principled-variational-inference-via-mixed-flows-2205.07475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixflows-principled-variational-inference-via-mixed-flows-2205.07475"/></url>
<url><loc>https://scifaro.com/en/abs/from-dirichlet-to-rubin-optimistic-exploration-in-rl-without-bonuses-2205.07704</loc><lastmod>2022-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-dirichlet-to-rubin-optimistic-exploration-in-rl-without-bonuses-2205.07704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-dirichlet-to-rubin-optimistic-exploration-in-rl-without-bonuses-2205.07704"/></url>
<url><loc>https://scifaro.com/en/abs/the-role-of-pseudo-labels-in-self-training-linear-classifiers-on-high-dimensional-gaussian-mixture-data-2205.07739</loc><lastmod>2024-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-pseudo-labels-in-self-training-linear-classifiers-on-high-dimensional-gaussian-mixture-data-2205.07739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-pseudo-labels-in-self-training-linear-classifiers-on-high-dimensional-gaussian-mixture-data-2205.07739"/></url>
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<url><loc>https://scifaro.com/en/abs/a-note-on-the-chernoff-bound-for-random-variables-in-the-unit-interval-2205.07880</loc><lastmod>2022-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-the-chernoff-bound-for-random-variables-in-the-unit-interval-2205.07880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-the-chernoff-bound-for-random-variables-in-the-unit-interval-2205.07880"/></url>
<url><loc>https://scifaro.com/en/abs/fat-tailed-variational-inference-with-anisotropic-tail-adaptive-flows-2205.07918</loc><lastmod>2022-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fat-tailed-variational-inference-with-anisotropic-tail-adaptive-flows-2205.07918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fat-tailed-variational-inference-with-anisotropic-tail-adaptive-flows-2205.07918"/></url>
<url><loc>https://scifaro.com/en/abs/an-exponentially-increasing-step-size-for-parameter-estimation-in-statistical-models-2205.07999</loc><lastmod>2023-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-exponentially-increasing-step-size-for-parameter-estimation-in-statistical-models-2205.07999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-exponentially-increasing-step-size-for-parameter-estimation-in-statistical-models-2205.07999"/></url>
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<url><loc>https://scifaro.com/en/abs/latent-variable-method-demonstrator-software-for-understanding-multivariate-data-analytics-algorithms-2205.08132</loc><lastmod>2022-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-variable-method-demonstrator-software-for-understanding-multivariate-data-analytics-algorithms-2205.08132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-variable-method-demonstrator-software-for-understanding-multivariate-data-analytics-algorithms-2205.08132"/></url>
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<url><loc>https://scifaro.com/en/abs/a-unified-framework-for-dataset-shift-diagnostics-2205.08340</loc><lastmod>2023-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-for-dataset-shift-diagnostics-2205.08340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-for-dataset-shift-diagnostics-2205.08340"/></url>
<url><loc>https://scifaro.com/en/abs/topological-signal-processing-using-the-weighted-ordinal-partition-network-2205.08349</loc><lastmod>2023-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topological-signal-processing-using-the-weighted-ordinal-partition-network-2205.08349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topological-signal-processing-using-the-weighted-ordinal-partition-network-2205.08349"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-additive-gaussian-processes-under-monotonicity-constraints-2205.08528</loc><lastmod>2022-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-additive-gaussian-processes-under-monotonicity-constraints-2205.08528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-additive-gaussian-processes-under-monotonicity-constraints-2205.08528"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-network-classifier-for-multi-dimensional-functional-data-2205.08592</loc><lastmod>2022-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-network-classifier-for-multi-dimensional-functional-data-2205.08592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-network-classifier-for-multi-dimensional-functional-data-2205.08592"/></url>
<url><loc>https://scifaro.com/en/abs/bagged-polynomial-regression-and-neural-networks-2205.08609</loc><lastmod>2024-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bagged-polynomial-regression-and-neural-networks-2205.08609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bagged-polynomial-regression-and-neural-networks-2205.08609"/></url>
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<url><loc>https://scifaro.com/en/abs/dependent-latent-class-models-2205.08677</loc><lastmod>2024-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dependent-latent-class-models-2205.08677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dependent-latent-class-models-2205.08677"/></url>
<url><loc>https://scifaro.com/en/abs/the-kernelized-taylor-diagram-2205.08864</loc><lastmod>2022-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-kernelized-taylor-diagram-2205.08864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-kernelized-taylor-diagram-2205.08864"/></url>
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<url><loc>https://scifaro.com/en/abs/maslow-s-hammer-for-catastrophic-forgetting-node-re-use-vs-node-activation-2205.09029</loc><lastmod>2022-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maslow-s-hammer-for-catastrophic-forgetting-node-re-use-vs-node-activation-2205.09029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maslow-s-hammer-for-catastrophic-forgetting-node-re-use-vs-node-activation-2205.09029"/></url>
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<url><loc>https://scifaro.com/en/abs/a-case-of-exponential-convergence-rates-for-svm-2205.10055</loc><lastmod>2023-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-case-of-exponential-convergence-rates-for-svm-2205.10055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-case-of-exponential-convergence-rates-for-svm-2205.10055"/></url>
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<url><loc>https://scifaro.com/en/abs/the-fairness-of-credit-scoring-models-2205.10200</loc><lastmod>2024-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-fairness-of-credit-scoring-models-2205.10200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-fairness-of-credit-scoring-models-2205.10200"/></url>
<url><loc>https://scifaro.com/en/abs/memorization-and-optimization-in-deep-neural-networks-with-minimum-over-parameterization-2205.10217</loc><lastmod>2023-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memorization-and-optimization-in-deep-neural-networks-with-minimum-over-parameterization-2205.10217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memorization-and-optimization-in-deep-neural-networks-with-minimum-over-parameterization-2205.10217"/></url>
<url><loc>https://scifaro.com/en/abs/neuroevolutionary-feature-representations-for-causal-inference-2205.10541</loc><lastmod>2022-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuroevolutionary-feature-representations-for-causal-inference-2205.10541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuroevolutionary-feature-representations-for-causal-inference-2205.10541"/></url>
<url><loc>https://scifaro.com/en/abs/lassoed-tree-boosting-2205.10697</loc><lastmod>2023-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lassoed-tree-boosting-2205.10697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lassoed-tree-boosting-2205.10697"/></url>
<url><loc>https://scifaro.com/en/abs/robust-flow-based-conformal-inference-fci-with-statistical-guarantee-2205.10732</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-flow-based-conformal-inference-fci-with-statistical-guarantee-2205.10732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-flow-based-conformal-inference-fci-with-statistical-guarantee-2205.10732"/></url>
<url><loc>https://scifaro.com/en/abs/fast-instrument-learning-with-faster-rates-2205.10772</loc><lastmod>2022-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-instrument-learning-with-faster-rates-2205.10772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-instrument-learning-with-faster-rates-2205.10772"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-aggregation-new-robust-algorithms-with-guarantees-2205.10864</loc><lastmod>2022-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-aggregation-new-robust-algorithms-with-guarantees-2205.10864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-aggregation-new-robust-algorithms-with-guarantees-2205.10864"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-learning-of-kernels-in-nonlocal-operators-2205.11006</loc><lastmod>2022-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-learning-of-kernels-in-nonlocal-operators-2205.11006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-learning-of-kernels-in-nonlocal-operators-2205.11006"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-em-algorithm-on-over-specified-two-component-location-scale-gaussian-mixtures-2205.11078</loc><lastmod>2022-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-em-algorithm-on-over-specified-two-component-location-scale-gaussian-mixtures-2205.11078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-em-algorithm-on-over-specified-two-component-location-scale-gaussian-mixtures-2205.11078"/></url>
<url><loc>https://scifaro.com/en/abs/an-improved-neural-network-model-for-treatment-effect-estimation-2205.11106</loc><lastmod>2022-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improved-neural-network-model-for-treatment-effect-estimation-2205.11106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improved-neural-network-model-for-treatment-effect-estimation-2205.11106"/></url>
<url><loc>https://scifaro.com/en/abs/split-personalities-in-bayesian-neural-networks-the-case-for-full-marginalisation-2205.11151</loc><lastmod>2022-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/split-personalities-in-bayesian-neural-networks-the-case-for-full-marginalisation-2205.11151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/split-personalities-in-bayesian-neural-networks-the-case-for-full-marginalisation-2205.11151"/></url>
<url><loc>https://scifaro.com/en/abs/decoupling-multivariate-functions-using-a-nonparametric-filtered-tensor-decomposition-2205.11153</loc><lastmod>2022-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoupling-multivariate-functions-using-a-nonparametric-filtered-tensor-decomposition-2205.11153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoupling-multivariate-functions-using-a-nonparametric-filtered-tensor-decomposition-2205.11153"/></url>
<url><loc>https://scifaro.com/en/abs/chaotic-regularization-and-heavy-tailed-limits-for-deterministic-gradient-descent-2205.11361</loc><lastmod>2022-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chaotic-regularization-and-heavy-tailed-limits-for-deterministic-gradient-descent-2205.11361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chaotic-regularization-and-heavy-tailed-limits-for-deterministic-gradient-descent-2205.11361"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-agnostic-learning-of-conditional-distributional-treatment-effects-2205.11486</loc><lastmod>2025-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-agnostic-learning-of-conditional-distributional-treatment-effects-2205.11486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-agnostic-learning-of-conditional-distributional-treatment-effects-2205.11486"/></url>
<url><loc>https://scifaro.com/en/abs/quasi-black-box-variational-inference-with-natural-gradients-for-bayesian-learning-2205.11568</loc><lastmod>2022-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quasi-black-box-variational-inference-with-natural-gradients-for-bayesian-learning-2205.11568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quasi-black-box-variational-inference-with-natural-gradients-for-bayesian-learning-2205.11568"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-patient-specific-root-causes-of-disease-2205.11627</loc><lastmod>2022-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-patient-specific-root-causes-of-disease-2205.11627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-patient-specific-root-causes-of-disease-2205.11627"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-gap-in-amortized-inference-2205.11640</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-gap-in-amortized-inference-2205.11640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-gap-in-amortized-inference-2205.11640"/></url>
<url><loc>https://scifaro.com/en/abs/why-does-throwing-away-data-improve-worst-group-error-2205.11672</loc><lastmod>2023-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-does-throwing-away-data-improve-worst-group-error-2205.11672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-does-throwing-away-data-improve-worst-group-error-2205.11672"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-clustering-of-sparse-graphs-crossing-the-information-theoretic-threshold-2205.11677</loc><lastmod>2024-02-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-clustering-of-sparse-graphs-crossing-the-information-theoretic-threshold-2205.11677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-clustering-of-sparse-graphs-crossing-the-information-theoretic-threshold-2205.11677"/></url>
<url><loc>https://scifaro.com/en/abs/soft-svm-regression-for-binary-classification-2205.11735</loc><lastmod>2022-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-svm-regression-for-binary-classification-2205.11735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-svm-regression-for-binary-classification-2205.11735"/></url>
<url><loc>https://scifaro.com/en/abs/a-quadrature-rule-combining-control-variates-and-adaptive-importance-sampling-2205.11890</loc><lastmod>2022-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-quadrature-rule-combining-control-variates-and-adaptive-importance-sampling-2205.11890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-quadrature-rule-combining-control-variates-and-adaptive-importance-sampling-2205.11890"/></url>
<url><loc>https://scifaro.com/en/abs/bandwidth-selection-for-gaussian-kernel-ridge-regression-via-jacobian-control-2205.11956</loc><lastmod>2023-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandwidth-selection-for-gaussian-kernel-ridge-regression-via-jacobian-control-2205.11956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandwidth-selection-for-gaussian-kernel-ridge-regression-via-jacobian-control-2205.11956"/></url>
<url><loc>https://scifaro.com/en/abs/information-directed-selection-for-top-two-algorithms-2205.12086</loc><lastmod>2023-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-directed-selection-for-top-two-algorithms-2205.12086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-directed-selection-for-top-two-algorithms-2205.12086"/></url>
<url><loc>https://scifaro.com/en/abs/not-too-little-not-too-much-a-theoretical-analysis-of-graph-over-smoothing-2205.12156</loc><lastmod>2022-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/not-too-little-not-too-much-a-theoretical-analysis-of-graph-over-smoothing-2205.12156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/not-too-little-not-too-much-a-theoretical-analysis-of-graph-over-smoothing-2205.12156"/></url>
<url><loc>https://scifaro.com/en/abs/ebm-life-cycle-mcmc-strategies-for-synthesis-defense-and-density-modeling-2205.12243</loc><lastmod>2022-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ebm-life-cycle-mcmc-strategies-for-synthesis-defense-and-density-modeling-2205.12243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ebm-life-cycle-mcmc-strategies-for-synthesis-defense-and-density-modeling-2205.12243"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-optimal-transport-approximation-statistics-and-debiasing-2205.12365</loc><lastmod>2022-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-optimal-transport-approximation-statistics-and-debiasing-2205.12365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-optimal-transport-approximation-statistics-and-debiasing-2205.12365"/></url>
<url><loc>https://scifaro.com/en/abs/transportation-inequalities-lyapunov-stability-and-sampling-for-dynamical-systems-on-continuous-state-space-2205.12448</loc><lastmod>2022-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transportation-inequalities-lyapunov-stability-and-sampling-for-dynamical-systems-on-continuous-state-space-2205.12448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transportation-inequalities-lyapunov-stability-and-sampling-for-dynamical-systems-on-continuous-state-space-2205.12448"/></url>
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<url><loc>https://scifaro.com/en/abs/surprises-in-adversarially-trained-linear-regression-2205.12695</loc><lastmod>2022-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surprises-in-adversarially-trained-linear-regression-2205.12695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surprises-in-adversarially-trained-linear-regression-2205.12695"/></url>
<url><loc>https://scifaro.com/en/abs/deep-interpretable-ensembles-2205.12729</loc><lastmod>2022-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-interpretable-ensembles-2205.12729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-interpretable-ensembles-2205.12729"/></url>
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<url><loc>https://scifaro.com/en/abs/conformal-prediction-intervals-with-temporal-dependence-2205.12940</loc><lastmod>2022-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformal-prediction-intervals-with-temporal-dependence-2205.12940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformal-prediction-intervals-with-temporal-dependence-2205.12940"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-and-near-optimal-smoothed-online-learning-for-generalized-linear-functions-2205.13056</loc><lastmod>2022-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-and-near-optimal-smoothed-online-learning-for-generalized-linear-functions-2205.13056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-and-near-optimal-smoothed-online-learning-for-generalized-linear-functions-2205.13056"/></url>
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<url><loc>https://scifaro.com/en/abs/learning-the-spatio-temporal-relationship-between-wind-and-significant-wave-height-using-deep-learning-2205.13325</loc><lastmod>2022-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-spatio-temporal-relationship-between-wind-and-significant-wave-height-using-deep-learning-2205.13325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-spatio-temporal-relationship-between-wind-and-significant-wave-height-using-deep-learning-2205.13325"/></url>
<url><loc>https://scifaro.com/en/abs/censored-quantile-regression-neural-networks-for-distribution-free-survival-analysis-2205.13496</loc><lastmod>2023-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/censored-quantile-regression-neural-networks-for-distribution-free-survival-analysis-2205.13496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/censored-quantile-regression-neural-networks-for-distribution-free-survival-analysis-2205.13496"/></url>
<url><loc>https://scifaro.com/en/abs/subspace-clustering-in-high-dimensions-phase-transitions-statistical-to-computational-gap-2205.13527</loc><lastmod>2023-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subspace-clustering-in-high-dimensions-phase-transitions-statistical-to-computational-gap-2205.13527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subspace-clustering-in-high-dimensions-phase-transitions-statistical-to-computational-gap-2205.13527"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-preferences-with-shapley-values-2205.13662</loc><lastmod>2022-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-preferences-with-shapley-values-2205.13662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-preferences-with-shapley-values-2205.13662"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-stochastic-orders-2205.13684</loc><lastmod>2022-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-stochastic-orders-2205.13684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-stochastic-orders-2205.13684"/></url>
<url><loc>https://scifaro.com/en/abs/a-sea-of-words-an-in-depth-analysis-of-anchors-for-text-data-2205.13789</loc><lastmod>2025-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sea-of-words-an-in-depth-analysis-of-anchors-for-text-data-2205.13789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sea-of-words-an-in-depth-analysis-of-anchors-for-text-data-2205.13789"/></url>
<url><loc>https://scifaro.com/en/abs/error-bound-of-empirical-ell-2-risk-minimization-for-noisy-standard-and-generalized-phase-retrieval-problems-2205.13827</loc><lastmod>2022-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-bound-of-empirical-ell-2-risk-minimization-for-noisy-standard-and-generalized-phase-retrieval-problems-2205.13827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-bound-of-empirical-ell-2-risk-minimization-for-noisy-standard-and-generalized-phase-retrieval-problems-2205.13827"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-modeling-for-bayesian-optimization-beyond-a-single-gaussian-process-2205.14090</loc><lastmod>2026-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-modeling-for-bayesian-optimization-beyond-a-single-gaussian-process-2205.14090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-modeling-for-bayesian-optimization-beyond-a-single-gaussian-process-2205.14090"/></url>
<url><loc>https://scifaro.com/en/abs/private-and-byzantine-proof-cooperative-decision-making-2205.14174</loc><lastmod>2022-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-and-byzantine-proof-cooperative-decision-making-2205.14174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-and-byzantine-proof-cooperative-decision-making-2205.14174"/></url>
<url><loc>https://scifaro.com/en/abs/deterministic-langevin-monte-carlo-with-normalizing-flows-for-bayesian-inference-2205.14240</loc><lastmod>2022-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deterministic-langevin-monte-carlo-with-normalizing-flows-for-bayesian-inference-2205.14240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deterministic-langevin-monte-carlo-with-normalizing-flows-for-bayesian-inference-2205.14240"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-bayesian-learning-for-data-analysis-the-art-of-prior-and-inference-in-sparsity-aware-modeling-2205.14283</loc><lastmod>2022-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-bayesian-learning-for-data-analysis-the-art-of-prior-and-inference-in-sparsity-aware-modeling-2205.14283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-bayesian-learning-for-data-analysis-the-art-of-prior-and-inference-in-sparsity-aware-modeling-2205.14283"/></url>
<url><loc>https://scifaro.com/en/abs/provably-auditing-ordinary-least-squares-in-low-dimensions-2205.14284</loc><lastmod>2022-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-auditing-ordinary-least-squares-in-low-dimensions-2205.14284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-auditing-ordinary-least-squares-in-low-dimensions-2205.14284"/></url>
<url><loc>https://scifaro.com/en/abs/a-confidence-machine-for-sparse-high-order-interaction-model-2205.14317</loc><lastmod>2022-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-confidence-machine-for-sparse-high-order-interaction-model-2205.14317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-confidence-machine-for-sparse-high-order-interaction-model-2205.14317"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-likelihood-ratio-estimation-over-graphs-2205.14461</loc><lastmod>2024-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-likelihood-ratio-estimation-over-graphs-2205.14461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-likelihood-ratio-estimation-over-graphs-2205.14461"/></url>
<url><loc>https://scifaro.com/en/abs/noise-aware-statistical-inference-with-differentially-private-synthetic-data-2205.14485</loc><lastmod>2023-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-aware-statistical-inference-with-differentially-private-synthetic-data-2205.14485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-aware-statistical-inference-with-differentially-private-synthetic-data-2205.14485"/></url>
<url><loc>https://scifaro.com/en/abs/improving-vae-based-representation-learning-2205.14539</loc><lastmod>2022-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-vae-based-representation-learning-2205.14539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-vae-based-representation-learning-2205.14539"/></url>
<url><loc>https://scifaro.com/en/abs/towards-instance-wise-calibration-local-amortized-diagnostics-and-reshaping-of-conditional-densities-ladar-2205.14568</loc><lastmod>2025-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-instance-wise-calibration-local-amortized-diagnostics-and-reshaping-of-conditional-densities-ladar-2205.14568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-instance-wise-calibration-local-amortized-diagnostics-and-reshaping-of-conditional-densities-ladar-2205.14568"/></url>
<url><loc>https://scifaro.com/en/abs/a-conditional-randomization-test-for-sparse-logistic-regression-in-high-dimension-2205.14613</loc><lastmod>2022-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-conditional-randomization-test-for-sparse-logistic-regression-in-high-dimension-2205.14613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-conditional-randomization-test-for-sparse-logistic-regression-in-high-dimension-2205.14613"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-generative-neural-networks-a-wavelet-based-architecture-in-function-spaces-2205.14627</loc><lastmod>2025-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-generative-neural-networks-a-wavelet-based-architecture-in-function-spaces-2205.14627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-generative-neural-networks-a-wavelet-based-architecture-in-function-spaces-2205.14627"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-meta-learners-for-estimating-multi-valued-treatment-heterogeneous-effects-2205.14714</loc><lastmod>2023-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-meta-learners-for-estimating-multi-valued-treatment-heterogeneous-effects-2205.14714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-meta-learners-for-estimating-multi-valued-treatment-heterogeneous-effects-2205.14714"/></url>
<url><loc>https://scifaro.com/en/abs/a-generative-adversarial-network-based-selective-ensemble-characteristic-to-expression-synthesis-se-ctes-approach-and-its-applications-in-healthcare-2205.14751</loc><lastmod>2022-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generative-adversarial-network-based-selective-ensemble-characteristic-to-expression-synthesis-se-ctes-approach-and-its-applications-in-healthcare-2205.14751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generative-adversarial-network-based-selective-ensemble-characteristic-to-expression-synthesis-se-ctes-approach-and-its-applications-in-healthcare-2205.14751"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimization-based-algorithm-for-non-stationary-kernel-bandits-without-prior-knowledge-2205.14775</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimization-based-algorithm-for-non-stationary-kernel-bandits-without-prior-knowledge-2205.14775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimization-based-algorithm-for-non-stationary-kernel-bandits-without-prior-knowledge-2205.14775"/></url>
<url><loc>https://scifaro.com/en/abs/excess-risk-of-two-layer-relu-neural-networks-in-teacher-student-settings-and-its-superiority-to-kernel-methods-2205.14818</loc><lastmod>2022-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/excess-risk-of-two-layer-relu-neural-networks-in-teacher-student-settings-and-its-superiority-to-kernel-methods-2205.14818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/excess-risk-of-two-layer-relu-neural-networks-in-teacher-student-settings-and-its-superiority-to-kernel-methods-2205.14818"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-sampling-for-discovery-2205.14829</loc><lastmod>2023-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-sampling-for-discovery-2205.14829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-sampling-for-discovery-2205.14829"/></url>
<url><loc>https://scifaro.com/en/abs/unbalanced-co-optimal-transport-2205.14923</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbalanced-co-optimal-transport-2205.14923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbalanced-co-optimal-transport-2205.14923"/></url>
<url><loc>https://scifaro.com/en/abs/a-continuous-time-framework-for-discrete-denoising-models-2205.14987</loc><lastmod>2022-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-continuous-time-framework-for-discrete-denoising-models-2205.14987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-continuous-time-framework-for-discrete-denoising-models-2205.14987"/></url>
<url><loc>https://scifaro.com/en/abs/support-recovery-in-sparse-pca-with-incomplete-data-2205.15215</loc><lastmod>2022-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/support-recovery-in-sparse-pca-with-incomplete-data-2205.15215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/support-recovery-in-sparse-pca-with-incomplete-data-2205.15215"/></url>
<url><loc>https://scifaro.com/en/abs/conformal-credal-self-supervised-learning-2205.15239</loc><lastmod>2023-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformal-credal-self-supervised-learning-2205.15239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformal-credal-self-supervised-learning-2205.15239"/></url>
<url><loc>https://scifaro.com/en/abs/federated-x-armed-bandit-2205.15268</loc><lastmod>2023-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-x-armed-bandit-2205.15268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-x-armed-bandit-2205.15268"/></url>
<url><loc>https://scifaro.com/en/abs/testing-for-geometric-invariance-and-equivariance-2205.15280</loc><lastmod>2022-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-for-geometric-invariance-and-equivariance-2205.15280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-for-geometric-invariance-and-equivariance-2205.15280"/></url>
<url><loc>https://scifaro.com/en/abs/infinite-dimensional-optimization-and-bayesian-nonparametric-learning-of-stochastic-differential-equations-2205.15368</loc><lastmod>2022-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infinite-dimensional-optimization-and-bayesian-nonparametric-learning-of-stochastic-differential-equations-2205.15368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infinite-dimensional-optimization-and-bayesian-nonparametric-learning-of-stochastic-differential-equations-2205.15368"/></url>
<url><loc>https://scifaro.com/en/abs/holistic-generalized-linear-models-2205.15447</loc><lastmod>2025-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/holistic-generalized-linear-models-2205.15447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/holistic-generalized-linear-models-2205.15447"/></url>
<url><loc>https://scifaro.com/en/abs/critic-sequential-monte-carlo-2205.15460</loc><lastmod>2023-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/critic-sequential-monte-carlo-2205.15460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/critic-sequential-monte-carlo-2205.15460"/></url>
<url><loc>https://scifaro.com/en/abs/robust-projection-based-anomaly-extraction-rpe-in-univariate-time-series-2205.15548</loc><lastmod>2022-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-projection-based-anomaly-extraction-rpe-in-univariate-time-series-2205.15548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-projection-based-anomaly-extraction-rpe-in-univariate-time-series-2205.15548"/></url>
<url><loc>https://scifaro.com/en/abs/vc-theoretical-explanation-of-double-descent-2205.15549</loc><lastmod>2022-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vc-theoretical-explanation-of-double-descent-2205.15549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vc-theoretical-explanation-of-double-descent-2205.15549"/></url>
<url><loc>https://scifaro.com/en/abs/simulator-based-inference-with-waldo-confidence-regions-by-leveraging-prediction-algorithms-and-posterior-estimators-for-inverse-problems-2205.15680</loc><lastmod>2023-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulator-based-inference-with-waldo-confidence-regions-by-leveraging-prediction-algorithms-and-posterior-estimators-for-inverse-problems-2205.15680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulator-based-inference-with-waldo-confidence-regions-by-leveraging-prediction-algorithms-and-posterior-estimators-for-inverse-problems-2205.15680"/></url>
<url><loc>https://scifaro.com/en/abs/feature-learning-in-l-2-regularized-dnns-attraction-repulsion-and-sparsity-2205.15809</loc><lastmod>2022-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-learning-in-l-2-regularized-dnns-attraction-repulsion-and-sparsity-2205.15809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-learning-in-l-2-regularized-dnns-attraction-repulsion-and-sparsity-2205.15809"/></url>
<url><loc>https://scifaro.com/en/abs/attribution-based-explanations-that-provide-recourse-cannot-be-robust-2205.15834</loc><lastmod>2023-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attribution-based-explanations-that-provide-recourse-cannot-be-robust-2205.15834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attribution-based-explanations-that-provide-recourse-cannot-be-robust-2205.15834"/></url>
<url><loc>https://scifaro.com/en/abs/learning-brain-mri-quality-control-a-multi-factorial-generalization-problem-2205.15898</loc><lastmod>2022-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-brain-mri-quality-control-a-multi-factorial-generalization-problem-2205.15898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-brain-mri-quality-control-a-multi-factorial-generalization-problem-2205.15898"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-via-wasserstein-gradient-flows-2205.15902</loc><lastmod>2023-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-via-wasserstein-gradient-flows-2205.15902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-via-wasserstein-gradient-flows-2205.15902"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-classification-under-concept-drift-with-multidimensional-adaptation-and-performance-guarantees-2205.15942</loc><lastmod>2022-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-classification-under-concept-drift-with-multidimensional-adaptation-and-performance-guarantees-2205.15942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-classification-under-concept-drift-with-multidimensional-adaptation-and-performance-guarantees-2205.15942"/></url>
<url><loc>https://scifaro.com/en/abs/to-the-fairness-frontier-and-beyond-identifying-quantifying-and-optimizing-the-fairness-accuracy-pareto-frontier-2206.00074</loc><lastmod>2022-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/to-the-fairness-frontier-and-beyond-identifying-quantifying-and-optimizing-the-fairness-accuracy-pareto-frontier-2206.00074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/to-the-fairness-frontier-and-beyond-identifying-quantifying-and-optimizing-the-fairness-accuracy-pareto-frontier-2206.00074"/></url>
<url><loc>https://scifaro.com/en/abs/easy-variational-inference-for-categorical-models-via-an-independent-binary-approximation-2206.00093</loc><lastmod>2022-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/easy-variational-inference-for-categorical-models-via-an-independent-binary-approximation-2206.00093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/easy-variational-inference-for-categorical-models-via-an-independent-binary-approximation-2206.00093"/></url>
<url><loc>https://scifaro.com/en/abs/provably-and-practically-efficient-neural-contextual-bandits-2206.00099</loc><lastmod>2022-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-and-practically-efficient-neural-contextual-bandits-2206.00099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-and-practically-efficient-neural-contextual-bandits-2206.00099"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-competing-bandits-in-non-stationary-matching-markets-2206.00120</loc><lastmod>2022-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-competing-bandits-in-non-stationary-matching-markets-2206.00120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-competing-bandits-in-non-stationary-matching-markets-2206.00120"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-distributed-eigenspace-estimation-with-arbitrary-node-failures-2206.00127</loc><lastmod>2022-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-distributed-eigenspace-estimation-with-arbitrary-node-failures-2206.00127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-distributed-eigenspace-estimation-with-arbitrary-node-failures-2206.00127"/></url>
<url><loc>https://scifaro.com/en/abs/forestprune-compact-depth-controlled-tree-ensembles-2206.00128</loc><lastmod>2023-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forestprune-compact-depth-controlled-tree-ensembles-2206.00128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forestprune-compact-depth-controlled-tree-ensembles-2206.00128"/></url>
<url><loc>https://scifaro.com/en/abs/a-kernelised-stein-statistic-for-assessing-implicit-generative-models-2206.00149</loc><lastmod>2022-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-kernelised-stein-statistic-for-assessing-implicit-generative-models-2206.00149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-kernelised-stein-statistic-for-assessing-implicit-generative-models-2206.00149"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-properties-for-bayesian-neural-network-in-besov-space-2206.00241</loc><lastmod>2022-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-properties-for-bayesian-neural-network-in-besov-space-2206.00241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-properties-for-bayesian-neural-network-in-besov-space-2206.00241"/></url>
<url><loc>https://scifaro.com/en/abs/split-kl-and-pac-bayes-split-kl-inequalities-for-ternary-random-variables-2206.00706</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/split-kl-and-pac-bayes-split-kl-inequalities-for-ternary-random-variables-2206.00706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/split-kl-and-pac-bayes-split-kl-inequalities-for-ternary-random-variables-2206.00706"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-learning-of-discrete-distributions-under-heterogeneity-and-communication-constraints-2206.00707</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-learning-of-discrete-distributions-under-heterogeneity-and-communication-constraints-2206.00707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-learning-of-discrete-distributions-under-heterogeneity-and-communication-constraints-2206.00707"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-bayesian-neural-subnetwork-ensembles-2206.00794</loc><lastmod>2024-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-bayesian-neural-subnetwork-ensembles-2206.00794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-bayesian-neural-subnetwork-ensembles-2206.00794"/></url>
<url><loc>https://scifaro.com/en/abs/indeterminacy-in-generative-models-characterization-and-strong-identifiability-2206.00801</loc><lastmod>2023-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/indeterminacy-in-generative-models-characterization-and-strong-identifiability-2206.00801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/indeterminacy-in-generative-models-characterization-and-strong-identifiability-2206.00801"/></url>
<url><loc>https://scifaro.com/en/abs/masked-bayesian-neural-networks-computation-and-optimality-2206.00853</loc><lastmod>2023-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/masked-bayesian-neural-networks-computation-and-optimality-2206.00853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/masked-bayesian-neural-networks-computation-and-optimality-2206.00853"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-of-stochastic-dynamical-networks-2206.00858</loc><lastmod>2022-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-of-stochastic-dynamical-networks-2206.00858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-of-stochastic-dynamical-networks-2206.00858"/></url>
<url><loc>https://scifaro.com/en/abs/coordinated-double-machine-learning-2206.00885</loc><lastmod>2022-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coordinated-double-machine-learning-2206.00885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coordinated-double-machine-learning-2206.00885"/></url>
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<url><loc>https://scifaro.com/en/abs/optimal-activation-functions-for-the-random-features-regression-model-2206.01332</loc><lastmod>2023-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-activation-functions-for-the-random-features-regression-model-2206.01332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-activation-functions-for-the-random-features-regression-model-2206.01332"/></url>
<url><loc>https://scifaro.com/en/abs/mcd-marginal-contrastive-discrimination-for-conditional-density-estimation-2206.01592</loc><lastmod>2026-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcd-marginal-contrastive-discrimination-for-conditional-density-estimation-2206.01592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcd-marginal-contrastive-discrimination-for-conditional-density-estimation-2206.01592"/></url>
<url><loc>https://scifaro.com/en/abs/excess-risk-analysis-for-epistemic-uncertainty-with-application-to-variational-inference-2206.01606</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/excess-risk-analysis-for-epistemic-uncertainty-with-application-to-variational-inference-2206.01606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/excess-risk-analysis-for-epistemic-uncertainty-with-application-to-variational-inference-2206.01606"/></url>
<url><loc>https://scifaro.com/en/abs/when-personalization-harms-reconsidering-the-use-of-group-attributes-in-prediction-2206.02058</loc><lastmod>2023-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-personalization-harms-reconsidering-the-use-of-group-attributes-in-prediction-2206.02058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-personalization-harms-reconsidering-the-use-of-group-attributes-in-prediction-2206.02058"/></url>
<url><loc>https://scifaro.com/en/abs/loco-feature-importance-inference-without-data-splitting-via-minipatch-ensembles-2206.02088</loc><lastmod>2026-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loco-feature-importance-inference-without-data-splitting-via-minipatch-ensembles-2206.02088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loco-feature-importance-inference-without-data-splitting-via-minipatch-ensembles-2206.02088"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-deep-learning-for-spatial-and-spatio-temporal-data-2206.02218</loc><lastmod>2022-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-deep-learning-for-spatial-and-spatio-temporal-data-2206.02218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-deep-learning-for-spatial-and-spatio-temporal-data-2206.02218"/></url>
<url><loc>https://scifaro.com/en/abs/information-threshold-bayesian-inference-and-decision-making-2206.02266</loc><lastmod>2022-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-threshold-bayesian-inference-and-decision-making-2206.02266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-threshold-bayesian-inference-and-decision-making-2206.02266"/></url>
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<url><loc>https://scifaro.com/en/abs/learning-the-structure-of-large-networked-systems-obeying-conservation-laws-2206.07083</loc><lastmod>2022-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-structure-of-large-networked-systems-obeying-conservation-laws-2206.07083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-structure-of-large-networked-systems-obeying-conservation-laws-2206.07083"/></url>
<url><loc>https://scifaro.com/en/abs/loss-functions-for-classification-using-structured-entropy-2206.07122</loc><lastmod>2022-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loss-functions-for-classification-using-structured-entropy-2206.07122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loss-functions-for-classification-using-structured-entropy-2206.07122"/></url>
<url><loc>https://scifaro.com/en/abs/benefits-of-additive-noise-in-composing-classes-with-bounded-capacity-2206.07199</loc><lastmod>2022-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benefits-of-additive-noise-in-composing-classes-with-bounded-capacity-2206.07199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benefits-of-additive-noise-in-composing-classes-with-bounded-capacity-2206.07199"/></url>
<url><loc>https://scifaro.com/en/abs/query-adaptive-predictive-inference-with-partial-labels-2206.07236</loc><lastmod>2022-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/query-adaptive-predictive-inference-with-partial-labels-2206.07236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/query-adaptive-predictive-inference-with-partial-labels-2206.07236"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-regularization-or-implicit-conditioning-exact-risk-trajectories-of-sgd-in-high-dimensions-2206.07252</loc><lastmod>2022-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-regularization-or-implicit-conditioning-exact-risk-trajectories-of-sgd-in-high-dimensions-2206.07252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-regularization-or-implicit-conditioning-exact-risk-trajectories-of-sgd-in-high-dimensions-2206.07252"/></url>
<url><loc>https://scifaro.com/en/abs/card-classification-and-regression-diffusion-models-2206.07275</loc><lastmod>2022-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/card-classification-and-regression-diffusion-models-2206.07275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/card-classification-and-regression-diffusion-models-2206.07275"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-transport-alignment-2206.07305</loc><lastmod>2022-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-transport-alignment-2206.07305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-transport-alignment-2206.07305"/></url>
<url><loc>https://scifaro.com/en/abs/characteristic-kernels-on-hilbert-spaces-banach-spaces-and-on-sets-of-measures-2206.07588</loc><lastmod>2022-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characteristic-kernels-on-hilbert-spaces-banach-spaces-and-on-sets-of-measures-2206.07588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characteristic-kernels-on-hilbert-spaces-banach-spaces-and-on-sets-of-measures-2206.07588"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-sparse-estimation-of-linear-regression-coefficients-with-heavy-tailed-noises-and-covariates-2206.07594</loc><lastmod>2022-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-sparse-estimation-of-linear-regression-coefficients-with-heavy-tailed-noises-and-covariates-2206.07594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-sparse-estimation-of-linear-regression-coefficients-with-heavy-tailed-noises-and-covariates-2206.07594"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-subspace-clustering-in-diverse-multiplex-network-model-2206.07602</loc><lastmod>2023-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-subspace-clustering-in-diverse-multiplex-network-model-2206.07602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-subspace-clustering-in-diverse-multiplex-network-model-2206.07602"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-initialization-of-the-sinkhorn-algorithm-2206.07630</loc><lastmod>2023-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-initialization-of-the-sinkhorn-algorithm-2206.07630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-initialization-of-the-sinkhorn-algorithm-2206.07630"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-and-computational-phase-transitions-in-group-testing-2206.07640</loc><lastmod>2022-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-and-computational-phase-transitions-in-group-testing-2206.07640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-and-computational-phase-transitions-in-group-testing-2206.07640"/></url>
<url><loc>https://scifaro.com/en/abs/wide-bayesian-neural-networks-have-a-simple-weight-posterior-theory-and-accelerated-sampling-2206.07673</loc><lastmod>2022-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wide-bayesian-neural-networks-have-a-simple-weight-posterior-theory-and-accelerated-sampling-2206.07673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wide-bayesian-neural-networks-have-a-simple-weight-posterior-theory-and-accelerated-sampling-2206.07673"/></url>
<url><loc>https://scifaro.com/en/abs/mace-higher-order-equivariant-message-passing-neural-networks-for-fast-and-accurate-force-fields-2206.07697</loc><lastmod>2023-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mace-higher-order-equivariant-message-passing-neural-networks-for-fast-and-accurate-force-fields-2206.07697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mace-higher-order-equivariant-message-passing-neural-networks-for-fast-and-accurate-force-fields-2206.07697"/></url>
<url><loc>https://scifaro.com/en/abs/hyperimpute-generalized-iterative-imputation-with-automatic-model-selection-2206.07769</loc><lastmod>2022-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperimpute-generalized-iterative-imputation-with-automatic-model-selection-2206.07769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperimpute-generalized-iterative-imputation-with-automatic-model-selection-2206.07769"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-differentiable-causal-discovery-of-factor-graphs-2206.07824</loc><lastmod>2022-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-differentiable-causal-discovery-of-factor-graphs-2206.07824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-differentiable-causal-discovery-of-factor-graphs-2206.07824"/></url>
<url><loc>https://scifaro.com/en/abs/conformal-prediction-set-for-time-series-2206.07851</loc><lastmod>2022-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformal-prediction-set-for-time-series-2206.07851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformal-prediction-set-for-time-series-2206.07851"/></url>
<url><loc>https://scifaro.com/en/abs/the-convergent-indian-buffet-process-2206.08002</loc><lastmod>2022-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-convergent-indian-buffet-process-2206.08002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-convergent-indian-buffet-process-2206.08002"/></url>
<url><loc>https://scifaro.com/en/abs/user-engagement-in-mobile-health-applications-2206.08178</loc><lastmod>2025-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/user-engagement-in-mobile-health-applications-2206.08178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/user-engagement-in-mobile-health-applications-2206.08178"/></url>
<url><loc>https://scifaro.com/en/abs/learning-physics-between-digital-twins-with-low-fidelity-models-and-physics-informed-gaussian-processes-2206.08201</loc><lastmod>2023-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-physics-between-digital-twins-with-low-fidelity-models-and-physics-informed-gaussian-processes-2206.08201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-physics-between-digital-twins-with-low-fidelity-models-and-physics-informed-gaussian-processes-2206.08201"/></url>
<url><loc>https://scifaro.com/en/abs/functional-output-regression-with-infimal-convolution-exploring-the-huber-and-epsilon-insensitive-losses-2206.08220</loc><lastmod>2022-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-output-regression-with-infimal-convolution-exploring-the-huber-and-epsilon-insensitive-losses-2206.08220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-output-regression-with-infimal-convolution-exploring-the-huber-and-epsilon-insensitive-losses-2206.08220"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-likelihood-training-for-score-based-diffusion-odes-by-high-order-denoising-score-matching-2206.08265</loc><lastmod>2022-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-likelihood-training-for-score-based-diffusion-odes-by-high-order-denoising-score-matching-2206.08265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-likelihood-training-for-score-based-diffusion-odes-by-high-order-denoising-score-matching-2206.08265"/></url>
<url><loc>https://scifaro.com/en/abs/variational-estimators-of-the-degree-corrected-latent-block-model-for-bipartite-networks-2206.08465</loc><lastmod>2024-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-estimators-of-the-degree-corrected-latent-block-model-for-bipartite-networks-2206.08465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-estimators-of-the-degree-corrected-latent-block-model-for-bipartite-networks-2206.08465"/></url>
<url><loc>https://scifaro.com/en/abs/reframed-ges-with-a-neural-conditional-dependence-measure-2206.08531</loc><lastmod>2022-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reframed-ges-with-a-neural-conditional-dependence-measure-2206.08531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reframed-ges-with-a-neural-conditional-dependence-measure-2206.08531"/></url>
<url><loc>https://scifaro.com/en/abs/on-integrating-prior-knowledge-into-gaussian-processes-for-prognostic-health-monitoring-2206.08600</loc><lastmod>2022-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-integrating-prior-knowledge-into-gaussian-processes-for-prognostic-health-monitoring-2206.08600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-integrating-prior-knowledge-into-gaussian-processes-for-prognostic-health-monitoring-2206.08600"/></url>
<url><loc>https://scifaro.com/en/abs/fit-parameter-efficient-few-shot-transfer-learning-for-personalized-and-federated-image-classification-2206.08671</loc><lastmod>2023-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fit-parameter-efficient-few-shot-transfer-learning-for-personalized-and-federated-image-classification-2206.08671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fit-parameter-efficient-few-shot-transfer-learning-for-personalized-and-federated-image-classification-2206.08671"/></url>
<url><loc>https://scifaro.com/en/abs/generalised-policy-improvement-with-geometric-policy-composition-2206.08736</loc><lastmod>2022-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalised-policy-improvement-with-geometric-policy-composition-2206.08736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalised-policy-improvement-with-geometric-policy-composition-2206.08736"/></url>
<url><loc>https://scifaro.com/en/abs/spherical-sliced-wasserstein-2206.08780</loc><lastmod>2023-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spherical-sliced-wasserstein-2206.08780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spherical-sliced-wasserstein-2206.08780"/></url>
<url><loc>https://scifaro.com/en/abs/lossy-compression-with-gaussian-diffusion-2206.08889</loc><lastmod>2023-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lossy-compression-with-gaussian-diffusion-2206.08889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lossy-compression-with-gaussian-diffusion-2206.08889"/></url>
<url><loc>https://scifaro.com/en/abs/adapting-the-linearised-laplace-model-evidence-for-modern-deep-learning-2206.08900</loc><lastmod>2022-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapting-the-linearised-laplace-model-evidence-for-modern-deep-learning-2206.08900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapting-the-linearised-laplace-model-evidence-for-modern-deep-learning-2206.08900"/></url>
<url><loc>https://scifaro.com/en/abs/shallow-and-deep-nonparametric-convolutions-for-gaussian-processes-2206.08972</loc><lastmod>2022-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shallow-and-deep-nonparametric-convolutions-for-gaussian-processes-2206.08972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shallow-and-deep-nonparametric-convolutions-for-gaussian-processes-2206.08972"/></url>
<url><loc>https://scifaro.com/en/abs/robust-group-synchronization-via-quadratic-programming-2206.08994</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-group-synchronization-via-quadratic-programming-2206.08994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-group-synchronization-via-quadratic-programming-2206.08994"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-permutation-invariant-flows-2206.09021</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-permutation-invariant-flows-2206.09021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-permutation-invariant-flows-2206.09021"/></url>
<url><loc>https://scifaro.com/en/abs/riemannian-cur-decompositions-for-robust-principal-component-analysis-2206.09042</loc><lastmod>2023-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/riemannian-cur-decompositions-for-robust-principal-component-analysis-2206.09042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/riemannian-cur-decompositions-for-robust-principal-component-analysis-2206.09042"/></url>
<url><loc>https://scifaro.com/en/abs/fair-generalized-linear-models-with-a-convex-penalty-2206.09076</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-generalized-linear-models-with-a-convex-penalty-2206.09076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-generalized-linear-models-with-a-convex-penalty-2206.09076"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-provable-tensor-robust-principal-component-analysis-via-scaled-gradient-descent-2206.09109</loc><lastmod>2023-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-provable-tensor-robust-principal-component-analysis-via-scaled-gradient-descent-2206.09109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-provable-tensor-robust-principal-component-analysis-via-scaled-gradient-descent-2206.09109"/></url>
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<url><loc>https://scifaro.com/en/abs/efficient-aggregated-kernel-tests-using-incomplete-u-statistics-2206.09194</loc><lastmod>2023-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-aggregated-kernel-tests-using-incomplete-u-statistics-2206.09194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-aggregated-kernel-tests-using-incomplete-u-statistics-2206.09194"/></url>
<url><loc>https://scifaro.com/en/abs/bioinspired-random-projections-for-robust-sparse-classification-2206.09222</loc><lastmod>2022-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bioinspired-random-projections-for-robust-sparse-classification-2206.09222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bioinspired-random-projections-for-robust-sparse-classification-2206.09222"/></url>
<url><loc>https://scifaro.com/en/abs/c-algebra-net-a-new-approach-generalizing-neural-network-parameters-to-c-algebra-2206.09513</loc><lastmod>2022-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/c-algebra-net-a-new-approach-generalizing-neural-network-parameters-to-c-algebra-2206.09513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/c-algebra-net-a-new-approach-generalizing-neural-network-parameters-to-c-algebra-2206.09513"/></url>
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<url><loc>https://scifaro.com/en/abs/meta-learning-for-out-of-distribution-detection-via-density-estimation-in-latent-space-2206.09543</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-for-out-of-distribution-detection-via-density-estimation-in-latent-space-2206.09543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-for-out-of-distribution-detection-via-density-estimation-in-latent-space-2206.09543"/></url>
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<url><loc>https://scifaro.com/en/abs/noise-contrastive-online-change-point-detection-2206.10143</loc><lastmod>2026-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-contrastive-online-change-point-detection-2206.10143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-contrastive-online-change-point-detection-2206.10143"/></url>
<url><loc>https://scifaro.com/en/abs/policy-learning-with-asymmetric-counterfactual-utilities-2206.10479</loc><lastmod>2023-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-learning-with-asymmetric-counterfactual-utilities-2206.10479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-learning-with-asymmetric-counterfactual-utilities-2206.10479"/></url>
<url><loc>https://scifaro.com/en/abs/ensembling-over-classifiers-a-bias-variance-perspective-2206.10566</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensembling-over-classifiers-a-bias-variance-perspective-2206.10566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensembling-over-classifiers-a-bias-variance-perspective-2206.10566"/></url>
<url><loc>https://scifaro.com/en/abs/solving-constrained-variational-inequalities-via-a-first-order-interior-point-based-method-2206.10575</loc><lastmod>2023-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-constrained-variational-inequalities-via-a-first-order-interior-point-based-method-2206.10575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-constrained-variational-inequalities-via-a-first-order-interior-point-based-method-2206.10575"/></url>
<url><loc>https://scifaro.com/en/abs/sharp-constants-in-uniformity-testing-via-the-huber-statistic-2206.10722</loc><lastmod>2022-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sharp-constants-in-uniformity-testing-via-the-huber-statistic-2206.10722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sharp-constants-in-uniformity-testing-via-the-huber-statistic-2206.10722"/></url>
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<url><loc>https://scifaro.com/en/abs/information-geometry-of-dropout-training-2206.10936</loc><lastmod>2022-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-geometry-of-dropout-training-2206.10936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-geometry-of-dropout-training-2206.10936"/></url>
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<url><loc>https://scifaro.com/en/abs/noisy-ell-0-sparse-subspace-clustering-on-dimensionality-reduced-data-2206.11079</loc><lastmod>2022-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisy-ell-0-sparse-subspace-clustering-on-dimensionality-reduced-data-2206.11079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisy-ell-0-sparse-subspace-clustering-on-dimensionality-reduced-data-2206.11079"/></url>
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<url><loc>https://scifaro.com/en/abs/functional-nonlinear-learning-2206.11424</loc><lastmod>2022-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-nonlinear-learning-2206.11424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-nonlinear-learning-2206.11424"/></url>
<url><loc>https://scifaro.com/en/abs/gradual-domain-adaptation-via-normalizing-flows-2206.11492</loc><lastmod>2024-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradual-domain-adaptation-via-normalizing-flows-2206.11492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradual-domain-adaptation-via-normalizing-flows-2206.11492"/></url>
<url><loc>https://scifaro.com/en/abs/inductive-conformal-prediction-a-straightforward-introduction-with-examples-in-python-2206.11810</loc><lastmod>2022-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inductive-conformal-prediction-a-straightforward-introduction-with-examples-in-python-2206.11810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inductive-conformal-prediction-a-straightforward-introduction-with-examples-in-python-2206.11810"/></url>
<url><loc>https://scifaro.com/en/abs/on-making-optimal-transport-robust-to-all-outliers-2206.11988</loc><lastmod>2022-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-making-optimal-transport-robust-to-all-outliers-2206.11988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-making-optimal-transport-robust-to-all-outliers-2206.11988"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-1-wasserstein-distance-with-trees-2206.12116</loc><lastmod>2022-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-1-wasserstein-distance-with-trees-2206.12116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-1-wasserstein-distance-with-trees-2206.12116"/></url>
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<url><loc>https://scifaro.com/en/abs/discrimination-in-machine-learning-algorithms-2207.00108</loc><lastmod>2025-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrimination-in-machine-learning-algorithms-2207.00108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrimination-in-machine-learning-algorithms-2207.00108"/></url>
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<url><loc>https://scifaro.com/en/abs/a-theoretical-analysis-of-the-learning-dynamics-under-class-imbalance-2207.00391</loc><lastmod>2024-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theoretical-analysis-of-the-learning-dynamics-under-class-imbalance-2207.00391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theoretical-analysis-of-the-learning-dynamics-under-class-imbalance-2207.00391"/></url>
<url><loc>https://scifaro.com/en/abs/integral-probability-metrics-pac-bayes-bounds-2207.00614</loc><lastmod>2023-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integral-probability-metrics-pac-bayes-bounds-2207.00614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integral-probability-metrics-pac-bayes-bounds-2207.00614"/></url>
<url><loc>https://scifaro.com/en/abs/tree-ensemble-kernels-for-bayesian-optimization-with-known-constraints-over-mixed-feature-spaces-2207.00879</loc><lastmod>2023-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tree-ensemble-kernels-for-bayesian-optimization-with-known-constraints-over-mixed-feature-spaces-2207.00879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tree-ensemble-kernels-for-bayesian-optimization-with-known-constraints-over-mixed-feature-spaces-2207.00879"/></url>
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<url><loc>https://scifaro.com/en/abs/consistency-of-neural-networks-with-regularization-2207.01538</loc><lastmod>2022-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistency-of-neural-networks-with-regularization-2207.01538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistency-of-neural-networks-with-regularization-2207.01538"/></url>
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<url><loc>https://scifaro.com/en/abs/an-approximation-method-for-fitted-random-forests-2207.02184</loc><lastmod>2022-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-approximation-method-for-fitted-random-forests-2207.02184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-approximation-method-for-fitted-random-forests-2207.02184"/></url>
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<url><loc>https://scifaro.com/en/abs/uncertainty-aware-mixed-variable-machine-learning-for-materials-design-2207.04994</loc><lastmod>2023-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-aware-mixed-variable-machine-learning-for-materials-design-2207.04994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-aware-mixed-variable-machine-learning-for-materials-design-2207.04994"/></url>
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<url><loc>https://scifaro.com/en/abs/unsupervised-learning-of-observation-functions-in-state-space-models-by-nonparametric-moment-methods-2207.05242</loc><lastmod>2022-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-of-observation-functions-in-state-space-models-by-nonparametric-moment-methods-2207.05242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-of-observation-functions-in-state-space-models-by-nonparametric-moment-methods-2207.05242"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-real-world-testing-of-causal-decision-making-via-bayesian-experimental-design-for-contextual-optimisation-2207.05250</loc><lastmod>2022-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-real-world-testing-of-causal-decision-making-via-bayesian-experimental-design-for-contextual-optimisation-2207.05250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-real-world-testing-of-causal-decision-making-via-bayesian-experimental-design-for-contextual-optimisation-2207.05250"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-multivariate-auto-regressive-models-for-modeling-distributional-time-series-2207.05442</loc><lastmod>2026-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-multivariate-auto-regressive-models-for-modeling-distributional-time-series-2207.05442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-multivariate-auto-regressive-models-for-modeling-distributional-time-series-2207.05442"/></url>
<url><loc>https://scifaro.com/en/abs/sliced-wasserstein-normalizing-flows-beyond-maximum-likelihood-training-2207.05468</loc><lastmod>2022-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sliced-wasserstein-normalizing-flows-beyond-maximum-likelihood-training-2207.05468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sliced-wasserstein-normalizing-flows-beyond-maximum-likelihood-training-2207.05468"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-aware-learning-against-label-noise-on-imbalanced-datasets-2207.05471</loc><lastmod>2022-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-aware-learning-against-label-noise-on-imbalanced-datasets-2207.05471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-aware-learning-against-label-noise-on-imbalanced-datasets-2207.05471"/></url>
<url><loc>https://scifaro.com/en/abs/employing-feature-selection-algorithms-to-determine-the-immune-state-of-a-mouse-model-of-rheumatoid-arthritis-2207.05882</loc><lastmod>2023-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/employing-feature-selection-algorithms-to-determine-the-immune-state-of-a-mouse-model-of-rheumatoid-arthritis-2207.05882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/employing-feature-selection-algorithms-to-determine-the-immune-state-of-a-mouse-model-of-rheumatoid-arthritis-2207.05882"/></url>
<url><loc>https://scifaro.com/en/abs/probing-the-robustness-of-independent-mechanism-analysis-for-representation-learning-2207.06137</loc><lastmod>2022-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probing-the-robustness-of-independent-mechanism-analysis-for-representation-learning-2207.06137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probing-the-robustness-of-independent-mechanism-analysis-for-representation-learning-2207.06137"/></url>
<url><loc>https://scifaro.com/en/abs/goal-oriented-sensitivity-analysis-of-hyperparameters-in-deep-learning-2207.06216</loc><lastmod>2022-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/goal-oriented-sensitivity-analysis-of-hyperparameters-in-deep-learning-2207.06216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/goal-oriented-sensitivity-analysis-of-hyperparameters-in-deep-learning-2207.06216"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-free-stochastic-analysis-and-robust-multilevel-vector-field-anomaly-detection-2207.06229</loc><lastmod>2026-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-free-stochastic-analysis-and-robust-multilevel-vector-field-anomaly-detection-2207.06229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-free-stochastic-analysis-and-robust-multilevel-vector-field-anomaly-detection-2207.06229"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-decision-trees-2207.06355</loc><lastmod>2022-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-decision-trees-2207.06355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-decision-trees-2207.06355"/></url>
<url><loc>https://scifaro.com/en/abs/br-snis-bias-reduced-self-normalized-importance-sampling-2207.06364</loc><lastmod>2022-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/br-snis-bias-reduced-self-normalized-importance-sampling-2207.06364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/br-snis-bias-reduced-self-normalized-importance-sampling-2207.06364"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-classification-confidence-using-kernel-densities-2207.06529</loc><lastmod>2022-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-classification-confidence-using-kernel-densities-2207.06529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-classification-confidence-using-kernel-densities-2207.06529"/></url>
<url><loc>https://scifaro.com/en/abs/seeking-the-truth-beyond-the-data-an-unsupervised-machine-learning-approach-2207.06949</loc><lastmod>2023-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seeking-the-truth-beyond-the-data-an-unsupervised-machine-learning-approach-2207.06949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seeking-the-truth-beyond-the-data-an-unsupervised-machine-learning-approach-2207.06949"/></url>
<url><loc>https://scifaro.com/en/abs/using-model-based-trees-with-boosting-to-fit-low-order-functional-anova-models-2207.06950</loc><lastmod>2023-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-model-based-trees-with-boosting-to-fit-low-order-functional-anova-models-2207.06950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-model-based-trees-with-boosting-to-fit-low-order-functional-anova-models-2207.06950"/></url>
<url><loc>https://scifaro.com/en/abs/how-do-tuna-schools-associate-to-dfads-a-study-using-echo-sounder-buoys-to-identify-global-patterns-2207.07049</loc><lastmod>2022-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-do-tuna-schools-associate-to-dfads-a-study-using-echo-sounder-buoys-to-identify-global-patterns-2207.07049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-do-tuna-schools-associate-to-dfads-a-study-using-echo-sounder-buoys-to-identify-global-patterns-2207.07049"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-time-analysis-for-variational-inequalities-an-overview-and-desiderata-2207.07105</loc><lastmod>2022-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-time-analysis-for-variational-inequalities-an-overview-and-desiderata-2207.07105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-time-analysis-for-variational-inequalities-an-overview-and-desiderata-2207.07105"/></url>
<url><loc>https://scifaro.com/en/abs/joint-application-of-the-target-trial-causal-framework-and-machine-learning-modeling-to-optimize-antibiotic-therapy-use-case-on-acute-bacterial-skin-and-skin-structure-infections-due-to-methicillin-resistant-staphylococcus-aureus-2207.07458</loc><lastmod>2022-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-application-of-the-target-trial-causal-framework-and-machine-learning-modeling-to-optimize-antibiotic-therapy-use-case-on-acute-bacterial-skin-and-skin-structure-infections-due-to-methicillin-resistant-staphylococcus-aureus-2207.07458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-application-of-the-target-trial-causal-framework-and-machine-learning-modeling-to-optimize-antibiotic-therapy-use-case-on-acute-bacterial-skin-and-skin-structure-infections-due-to-methicillin-resistant-staphylococcus-aureus-2207.07458"/></url>
<url><loc>https://scifaro.com/en/abs/a-two-step-machine-learning-approach-to-statistical-post-processing-of-weather-forecasts-for-power-generation-2207.07589</loc><lastmod>2024-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-two-step-machine-learning-approach-to-statistical-post-processing-of-weather-forecasts-for-power-generation-2207.07589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-two-step-machine-learning-approach-to-statistical-post-processing-of-weather-forecasts-for-power-generation-2207.07589"/></url>
<url><loc>https://scifaro.com/en/abs/partial-disentanglement-via-mechanism-sparsity-2207.07732</loc><lastmod>2022-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partial-disentanglement-via-mechanism-sparsity-2207.07732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partial-disentanglement-via-mechanism-sparsity-2207.07732"/></url>
<url><loc>https://scifaro.com/en/abs/do-not-sleep-on-traditional-machine-learning-simple-and-interpretable-techniques-are-competitive-to-deep-learning-for-sleep-scoring-2207.07753</loc><lastmod>2022-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-not-sleep-on-traditional-machine-learning-simple-and-interpretable-techniques-are-competitive-to-deep-learning-for-sleep-scoring-2207.07753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-not-sleep-on-traditional-machine-learning-simple-and-interpretable-techniques-are-competitive-to-deep-learning-for-sleep-scoring-2207.07753"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-one-sided-kolmogorov-approximation-2207.07916</loc><lastmod>2022-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-one-sided-kolmogorov-approximation-2207.07916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-one-sided-kolmogorov-approximation-2207.07916"/></url>
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<url><loc>https://scifaro.com/en/abs/rewiring-networks-for-graph-neural-network-training-using-discrete-geometry-2207.08026</loc><lastmod>2022-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rewiring-networks-for-graph-neural-network-training-using-discrete-geometry-2207.08026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rewiring-networks-for-graph-neural-network-training-using-discrete-geometry-2207.08026"/></url>
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<url><loc>https://scifaro.com/en/abs/pgmm-kernel-regression-and-comparisons-with-boosted-trees-2207.08667</loc><lastmod>2022-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pgmm-kernel-regression-and-comparisons-with-boosted-trees-2207.08667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pgmm-kernel-regression-and-comparisons-with-boosted-trees-2207.08667"/></url>
<url><loc>https://scifaro.com/en/abs/package-for-fast-abc-boost-2207.08770</loc><lastmod>2022-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/package-for-fast-abc-boost-2207.08770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/package-for-fast-abc-boost-2207.08770"/></url>
<url><loc>https://scifaro.com/en/abs/deeply-learned-generalized-linear-models-with-missing-data-2207.08911</loc><lastmod>2023-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeply-learned-generalized-linear-models-with-missing-data-2207.08911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeply-learned-generalized-linear-models-with-missing-data-2207.08911"/></url>
<url><loc>https://scifaro.com/en/abs/the-m-connecting-imset-and-factorization-for-admg-models-2207.08963</loc><lastmod>2022-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-m-connecting-imset-and-factorization-for-admg-models-2207.08963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-m-connecting-imset-and-factorization-for-admg-models-2207.08963"/></url>
<url><loc>https://scifaro.com/en/abs/lazy-estimation-of-variable-importance-for-large-neural-networks-2207.09097</loc><lastmod>2022-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lazy-estimation-of-variable-importance-for-large-neural-networks-2207.09097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lazy-estimation-of-variable-importance-for-large-neural-networks-2207.09097"/></url>
<url><loc>https://scifaro.com/en/abs/holistic-robust-data-driven-decisions-2207.09560</loc><lastmod>2025-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/holistic-robust-data-driven-decisions-2207.09560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/holistic-robust-data-driven-decisions-2207.09560"/></url>
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<url><loc>https://scifaro.com/en/abs/bayesian-recurrent-units-and-the-forward-backward-algorithm-2207.10486</loc><lastmod>2022-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-recurrent-units-and-the-forward-backward-algorithm-2207.10486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-recurrent-units-and-the-forward-backward-algorithm-2207.10486"/></url>
<url><loc>https://scifaro.com/en/abs/correcting-model-bias-with-sparse-implicit-processes-2207.10673</loc><lastmod>2022-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correcting-model-bias-with-sparse-implicit-processes-2207.10673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correcting-model-bias-with-sparse-implicit-processes-2207.10673"/></url>
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<url><loc>https://scifaro.com/en/abs/online-inference-for-mixture-model-of-streaming-graph-signals-with-non-white-excitation-2207.14019</loc><lastmod>2023-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-inference-for-mixture-model-of-streaming-graph-signals-with-non-white-excitation-2207.14019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-inference-for-mixture-model-of-streaming-graph-signals-with-non-white-excitation-2207.14019"/></url>
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<url><loc>https://scifaro.com/en/abs/neural-optimization-machine-a-neural-network-approach-for-optimization-2208.03897</loc><lastmod>2022-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-optimization-machine-a-neural-network-approach-for-optimization-2208.03897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-optimization-machine-a-neural-network-approach-for-optimization-2208.03897"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-on-longitudinal-data-analysis-with-random-forest-in-precision-medicine-2208.04112</loc><lastmod>2023-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-on-longitudinal-data-analysis-with-random-forest-in-precision-medicine-2208.04112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-on-longitudinal-data-analysis-with-random-forest-in-precision-medicine-2208.04112"/></url>
<url><loc>https://scifaro.com/en/abs/deep-machine-learning-reconstructing-lattice-topology-with-strong-thermal-fluctuations-2208.04119</loc><lastmod>2022-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-machine-learning-reconstructing-lattice-topology-with-strong-thermal-fluctuations-2208.04119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-machine-learning-reconstructing-lattice-topology-with-strong-thermal-fluctuations-2208.04119"/></url>
<url><loc>https://scifaro.com/en/abs/uncertain-bayesian-networks-learning-from-incomplete-data-2208.04221</loc><lastmod>2022-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertain-bayesian-networks-learning-from-incomplete-data-2208.04221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertain-bayesian-networks-learning-from-incomplete-data-2208.04221"/></url>
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<url><loc>https://scifaro.com/en/abs/deep-maxout-network-gaussian-process-2208.04468</loc><lastmod>2022-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-maxout-network-gaussian-process-2208.04468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-maxout-network-gaussian-process-2208.04468"/></url>
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<url><loc>https://scifaro.com/en/abs/representation-learning-of-rare-temporal-conditions-for-travel-time-prediction-2208.04667</loc><lastmod>2022-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-of-rare-temporal-conditions-for-travel-time-prediction-2208.04667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-of-rare-temporal-conditions-for-travel-time-prediction-2208.04667"/></url>
<url><loc>https://scifaro.com/en/abs/fully-probabilistic-deep-models-for-forward-and-inverse-problems-in-parametric-pdes-2208.04856</loc><lastmod>2023-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-probabilistic-deep-models-for-forward-and-inverse-problems-in-parametric-pdes-2208.04856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-probabilistic-deep-models-for-forward-and-inverse-problems-in-parametric-pdes-2208.04856"/></url>
<url><loc>https://scifaro.com/en/abs/literature-review-graph-kernels-in-chemoinformatics-2208.04929</loc><lastmod>2022-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/literature-review-graph-kernels-in-chemoinformatics-2208.04929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/literature-review-graph-kernels-in-chemoinformatics-2208.04929"/></url>
<url><loc>https://scifaro.com/en/abs/kl-divergence-based-deep-learning-for-discrete-time-model-2208.05100</loc><lastmod>2023-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kl-divergence-based-deep-learning-for-discrete-time-model-2208.05100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kl-divergence-based-deep-learning-for-discrete-time-model-2208.05100"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-denoising-diffusion-models-under-the-manifold-hypothesis-2208.05314</loc><lastmod>2023-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-denoising-diffusion-models-under-the-manifold-hypothesis-2208.05314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-denoising-diffusion-models-under-the-manifold-hypothesis-2208.05314"/></url>
<url><loc>https://scifaro.com/en/abs/mappings-for-marginal-probabilities-with-applications-to-models-in-statistical-physics-2208.05333</loc><lastmod>2022-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mappings-for-marginal-probabilities-with-applications-to-models-in-statistical-physics-2208.05333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mappings-for-marginal-probabilities-with-applications-to-models-in-statistical-physics-2208.05333"/></url>
<url><loc>https://scifaro.com/en/abs/robust-methods-for-high-dimensional-linear-learning-2208.05447</loc><lastmod>2023-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-methods-for-high-dimensional-linear-learning-2208.05447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-methods-for-high-dimensional-linear-learning-2208.05447"/></url>
<url><loc>https://scifaro.com/en/abs/a-principled-method-for-the-creation-of-synthetic-multi-fidelity-data-sets-2208.05667</loc><lastmod>2022-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-principled-method-for-the-creation-of-synthetic-multi-fidelity-data-sets-2208.05667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-principled-method-for-the-creation-of-synthetic-multi-fidelity-data-sets-2208.05667"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-for-scalar-input-and-functional-output-2208.05776</loc><lastmod>2023-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-for-scalar-input-and-functional-output-2208.05776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-for-scalar-input-and-functional-output-2208.05776"/></url>
<url><loc>https://scifaro.com/en/abs/random-survival-forests-with-multivariate-longitudinal-endogenous-covariates-2208.05801</loc><lastmod>2024-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-survival-forests-with-multivariate-longitudinal-endogenous-covariates-2208.05801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-survival-forests-with-multivariate-longitudinal-endogenous-covariates-2208.05801"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-identification-of-populations-with-treatment-benefit-in-clinical-trials-machine-learning-challenges-and-solutions-2208.05844</loc><lastmod>2023-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-identification-of-populations-with-treatment-benefit-in-clinical-trials-machine-learning-challenges-and-solutions-2208.05844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-identification-of-populations-with-treatment-benefit-in-clinical-trials-machine-learning-challenges-and-solutions-2208.05844"/></url>
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<url><loc>https://scifaro.com/en/abs/feature-based-time-series-analysis-in-r-using-the-theft-package-2208.06146</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-based-time-series-analysis-in-r-using-the-theft-package-2208.06146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-based-time-series-analysis-in-r-using-the-theft-package-2208.06146"/></url>
<url><loc>https://scifaro.com/en/abs/unifying-gradients-to-improve-real-world-robustness-for-deep-networks-2208.06228</loc><lastmod>2023-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unifying-gradients-to-improve-real-world-robustness-for-deep-networks-2208.06228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unifying-gradients-to-improve-real-world-robustness-for-deep-networks-2208.06228"/></url>
<url><loc>https://scifaro.com/en/abs/renyicl-contrastive-representation-learning-with-skew-renyi-divergence-2208.06270</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/renyicl-contrastive-representation-learning-with-skew-renyi-divergence-2208.06270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/renyicl-contrastive-representation-learning-with-skew-renyi-divergence-2208.06270"/></url>
<url><loc>https://scifaro.com/en/abs/eegnn-edge-enhanced-graph-neural-network-with-a-bayesian-nonparametric-graph-model-2208.06322</loc><lastmod>2023-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eegnn-edge-enhanced-graph-neural-network-with-a-bayesian-nonparametric-graph-model-2208.06322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eegnn-edge-enhanced-graph-neural-network-with-a-bayesian-nonparametric-graph-model-2208.06322"/></url>
<url><loc>https://scifaro.com/en/abs/markov-observation-models-2208.06368</loc><lastmod>2023-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-observation-models-2208.06368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-observation-models-2208.06368"/></url>
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<url><loc>https://scifaro.com/en/abs/learning-linear-non-gaussian-polytree-models-2208.06701</loc><lastmod>2022-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-linear-non-gaussian-polytree-models-2208.06701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-linear-non-gaussian-polytree-models-2208.06701"/></url>
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<url><loc>https://scifaro.com/en/abs/online-learning-for-mixture-of-multivariate-hawkes-processes-2208.07961</loc><lastmod>2022-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-for-mixture-of-multivariate-hawkes-processes-2208.07961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-for-mixture-of-multivariate-hawkes-processes-2208.07961"/></url>
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<url><loc>https://scifaro.com/en/abs/memory-and-capacity-of-graph-embedding-methods-2208.08769</loc><lastmod>2023-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-and-capacity-of-graph-embedding-methods-2208.08769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-and-capacity-of-graph-embedding-methods-2208.08769"/></url>
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<url><loc>https://scifaro.com/en/abs/meta-sparse-principal-component-analysis-2208.08938</loc><lastmod>2022-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-sparse-principal-component-analysis-2208.08938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-sparse-principal-component-analysis-2208.08938"/></url>
<url><loc>https://scifaro.com/en/abs/quantitative-universal-approximation-bounds-for-deep-belief-networks-2208.09033</loc><lastmod>2022-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantitative-universal-approximation-bounds-for-deep-belief-networks-2208.09033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantitative-universal-approximation-bounds-for-deep-belief-networks-2208.09033"/></url>
<url><loc>https://scifaro.com/en/abs/classification-performance-metric-elicitation-and-its-applications-2208.09142</loc><lastmod>2022-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-performance-metric-elicitation-and-its-applications-2208.09142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-performance-metric-elicitation-and-its-applications-2208.09142"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-choice-modeling-2208.09325</loc><lastmod>2022-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-choice-modeling-2208.09325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-choice-modeling-2208.09325"/></url>
<url><loc>https://scifaro.com/en/abs/non-stationary-dynamic-pricing-via-actor-critic-information-directed-pricing-2208.09372</loc><lastmod>2022-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-stationary-dynamic-pricing-via-actor-critic-information-directed-pricing-2208.09372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-stationary-dynamic-pricing-via-actor-critic-information-directed-pricing-2208.09372"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-contamination-of-networks-in-the-setting-of-vertex-nomination-a-new-trimming-method-2208.09710</loc><lastmod>2022-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-contamination-of-networks-in-the-setting-of-vertex-nomination-a-new-trimming-method-2208.09710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-contamination-of-networks-in-the-setting-of-vertex-nomination-a-new-trimming-method-2208.09710"/></url>
<url><loc>https://scifaro.com/en/abs/fastcph-efficient-survival-analysis-for-neural-networks-2208.09793</loc><lastmod>2022-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fastcph-efficient-survival-analysis-for-neural-networks-2208.09793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fastcph-efficient-survival-analysis-for-neural-networks-2208.09793"/></url>
<url><loc>https://scifaro.com/en/abs/robust-tests-in-online-decision-making-2208.09819</loc><lastmod>2022-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-tests-in-online-decision-making-2208.09819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-tests-in-online-decision-making-2208.09819"/></url>
<url><loc>https://scifaro.com/en/abs/aa-forecast-anomaly-aware-forecast-for-extreme-events-2208.09933</loc><lastmod>2022-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aa-forecast-anomaly-aware-forecast-for-extreme-events-2208.09933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aa-forecast-anomaly-aware-forecast-for-extreme-events-2208.09933"/></url>
<url><loc>https://scifaro.com/en/abs/do-aiq-a-design-of-experiment-approach-to-quality-evaluation-of-ai-mislabel-detection-algorithm-2208.09953</loc><lastmod>2022-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-aiq-a-design-of-experiment-approach-to-quality-evaluation-of-ai-mislabel-detection-algorithm-2208.09953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-aiq-a-design-of-experiment-approach-to-quality-evaluation-of-ai-mislabel-detection-algorithm-2208.09953"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-complementary-kernelized-learning-for-multidimensional-spatiotemporal-data-2208.09978</loc><lastmod>2023-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-complementary-kernelized-learning-for-multidimensional-spatiotemporal-data-2208.09978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-complementary-kernelized-learning-for-multidimensional-spatiotemporal-data-2208.09978"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-capsule-prediction-network-for-marketing-campaigns-effect-2208.10113</loc><lastmod>2022-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-capsule-prediction-network-for-marketing-campaigns-effect-2208.10113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-capsule-prediction-network-for-marketing-campaigns-effect-2208.10113"/></url>
<url><loc>https://scifaro.com/en/abs/scale-invariant-process-regression-towards-bayesian-ml-with-minimal-assumptions-2208.10461</loc><lastmod>2022-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scale-invariant-process-regression-towards-bayesian-ml-with-minimal-assumptions-2208.10461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scale-invariant-process-regression-towards-bayesian-ml-with-minimal-assumptions-2208.10461"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-contracts-for-outlier-robust-geometric-perception-2208.10521</loc><lastmod>2022-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-contracts-for-outlier-robust-geometric-perception-2208.10521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-contracts-for-outlier-robust-geometric-perception-2208.10521"/></url>
<url><loc>https://scifaro.com/en/abs/strategic-decision-making-in-the-presence-of-information-asymmetry-provably-efficient-rl-with-algorithmic-instruments-2208.11040</loc><lastmod>2022-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strategic-decision-making-in-the-presence-of-information-asymmetry-provably-efficient-rl-with-algorithmic-instruments-2208.11040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strategic-decision-making-in-the-presence-of-information-asymmetry-provably-efficient-rl-with-algorithmic-instruments-2208.11040"/></url>
<url><loc>https://scifaro.com/en/abs/fast-emulation-of-density-functional-theory-simulations-using-approximate-gaussian-processes-2208.11302</loc><lastmod>2022-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-emulation-of-density-functional-theory-simulations-using-approximate-gaussian-processes-2208.11302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-emulation-of-density-functional-theory-simulations-using-approximate-gaussian-processes-2208.11302"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-blocked-gibbs-sampling-for-bayesian-neural-networks-2208.11389</loc><lastmod>2023-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-blocked-gibbs-sampling-for-bayesian-neural-networks-2208.11389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-blocked-gibbs-sampling-for-bayesian-neural-networks-2208.11389"/></url>
<url><loc>https://scifaro.com/en/abs/fedos-using-open-set-learning-to-stabilize-training-in-federated-learning-2208.11512</loc><lastmod>2022-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedos-using-open-set-learning-to-stabilize-training-in-federated-learning-2208.11512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedos-using-open-set-learning-to-stabilize-training-in-federated-learning-2208.11512"/></url>
<url><loc>https://scifaro.com/en/abs/variance-reduction-based-experience-replay-for-policy-optimization-2208.12341</loc><lastmod>2022-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-reduction-based-experience-replay-for-policy-optimization-2208.12341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-reduction-based-experience-replay-for-policy-optimization-2208.12341"/></url>
<url><loc>https://scifaro.com/en/abs/coefficient-based-regularized-distribution-regression-2208.12427</loc><lastmod>2022-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coefficient-based-regularized-distribution-regression-2208.12427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coefficient-based-regularized-distribution-regression-2208.12427"/></url>
<url><loc>https://scifaro.com/en/abs/confusion-matrices-and-accuracy-statistics-for-binary-classifiers-using-unlabeled-data-the-diagnostic-test-approach-2208.12664</loc><lastmod>2022-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confusion-matrices-and-accuracy-statistics-for-binary-classifiers-using-unlabeled-data-the-diagnostic-test-approach-2208.12664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confusion-matrices-and-accuracy-statistics-for-binary-classifiers-using-unlabeled-data-the-diagnostic-test-approach-2208.12664"/></url>
<url><loc>https://scifaro.com/en/abs/causal-bandits-for-linear-structural-equation-models-2208.12764</loc><lastmod>2023-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-bandits-for-linear-structural-equation-models-2208.12764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-bandits-for-linear-structural-equation-models-2208.12764"/></url>
<url><loc>https://scifaro.com/en/abs/mixtures-of-gaussian-process-experts-with-smc-2-2208.12830</loc><lastmod>2025-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixtures-of-gaussian-process-experts-with-smc-2-2208.12830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixtures-of-gaussian-process-experts-with-smc-2-2208.12830"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-approximation-of-continuous-functions-in-high-dimensions-with-applications-to-inverse-problems-2208.13305</loc><lastmod>2023-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-approximation-of-continuous-functions-in-high-dimensions-with-applications-to-inverse-problems-2208.13305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-approximation-of-continuous-functions-in-high-dimensions-with-applications-to-inverse-problems-2208.13305"/></url>
<url><loc>https://scifaro.com/en/abs/approach-of-variable-clustering-and-compression-for-learning-large-bayesian-networks-2208.13605</loc><lastmod>2022-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approach-of-variable-clustering-and-compression-for-learning-large-bayesian-networks-2208.13605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approach-of-variable-clustering-and-compression-for-learning-large-bayesian-networks-2208.13605"/></url>
<url><loc>https://scifaro.com/en/abs/towards-reliable-simulation-based-inference-with-balanced-neural-ratio-estimation-2208.13624</loc><lastmod>2022-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-reliable-simulation-based-inference-with-balanced-neural-ratio-estimation-2208.13624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-reliable-simulation-based-inference-with-balanced-neural-ratio-estimation-2208.13624"/></url>
<url><loc>https://scifaro.com/en/abs/an-evaluation-framework-for-comparing-causal-inference-models-2209.00115</loc><lastmod>2022-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-evaluation-framework-for-comparing-causal-inference-models-2209.00115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-evaluation-framework-for-comparing-causal-inference-models-2209.00115"/></url>
<url><loc>https://scifaro.com/en/abs/the-infinitesimal-jackknife-and-combinations-of-models-2209.00147</loc><lastmod>2022-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-infinitesimal-jackknife-and-combinations-of-models-2209.00147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-infinitesimal-jackknife-and-combinations-of-models-2209.00147"/></url>
<url><loc>https://scifaro.com/en/abs/b-ezier-gaussian-processes-for-tall-and-wide-data-2209.00343</loc><lastmod>2022-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/b-ezier-gaussian-processes-for-tall-and-wide-data-2209.00343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/b-ezier-gaussian-processes-for-tall-and-wide-data-2209.00343"/></url>
<url><loc>https://scifaro.com/en/abs/fair-learning-with-wasserstein-barycenters-for-non-decomposable-performance-measures-2209.00427</loc><lastmod>2022-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-learning-with-wasserstein-barycenters-for-non-decomposable-performance-measures-2209.00427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-learning-with-wasserstein-barycenters-for-non-decomposable-performance-measures-2209.00427"/></url>
<url><loc>https://scifaro.com/en/abs/msgnn-a-spectral-graph-neural-network-based-on-a-novel-magnetic-signed-laplacian-2209.00546</loc><lastmod>2022-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/msgnn-a-spectral-graph-neural-network-based-on-a-novel-magnetic-signed-laplacian-2209.00546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/msgnn-a-spectral-graph-neural-network-based-on-a-novel-magnetic-signed-laplacian-2209.00546"/></url>
<url><loc>https://scifaro.com/en/abs/model-transparency-and-interpretability-survey-and-application-to-the-insurance-industry-2209.00562</loc><lastmod>2022-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-transparency-and-interpretability-survey-and-application-to-the-insurance-industry-2209.00562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-transparency-and-interpretability-survey-and-application-to-the-insurance-industry-2209.00562"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-bump-functions-for-shallow-relu-networks-weight-decay-depth-separation-and-the-curse-of-dimensionality-2209.01173</loc><lastmod>2022-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-bump-functions-for-shallow-relu-networks-weight-decay-depth-separation-and-the-curse-of-dimensionality-2209.01173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-bump-functions-for-shallow-relu-networks-weight-decay-depth-separation-and-the-curse-of-dimensionality-2209.01173"/></url>
<url><loc>https://scifaro.com/en/abs/geometry-of-em-and-related-iterative-algorithms-2209.01301</loc><lastmod>2022-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometry-of-em-and-related-iterative-algorithms-2209.01301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometry-of-em-and-related-iterative-algorithms-2209.01301"/></url>
<url><loc>https://scifaro.com/en/abs/generative-modeling-via-tree-tensor-network-states-2209.01341</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-modeling-via-tree-tensor-network-states-2209.01341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-modeling-via-tree-tensor-network-states-2209.01341"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-the-impact-of-model-misspecification-in-neural-simulation-based-inference-2209.01845</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-the-impact-of-model-misspecification-in-neural-simulation-based-inference-2209.01845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-the-impact-of-model-misspecification-in-neural-simulation-based-inference-2209.01845"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-comparisons-of-classifiers-by-generalized-stochastic-dominance-2209.01857</loc><lastmod>2023-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-comparisons-of-classifiers-by-generalized-stochastic-dominance-2209.01857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-comparisons-of-classifiers-by-generalized-stochastic-dominance-2209.01857"/></url>
<url><loc>https://scifaro.com/en/abs/deep-importance-sampling-using-tensor-trains-with-application-to-a-priori-and-a-posteriori-rare-event-estimation-2209.01941</loc><lastmod>2023-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-importance-sampling-using-tensor-trains-with-application-to-a-priori-and-a-posteriori-rare-event-estimation-2209.01941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-importance-sampling-using-tensor-trains-with-application-to-a-priori-and-a-posteriori-rare-event-estimation-2209.01941"/></url>
<url><loc>https://scifaro.com/en/abs/opening-the-black-box-of-neighbor-embedding-with-hotelling-s-t2-statistic-and-q-residuals-2209.01984</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/opening-the-black-box-of-neighbor-embedding-with-hotelling-s-t2-statistic-and-q-residuals-2209.01984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/opening-the-black-box-of-neighbor-embedding-with-hotelling-s-t2-statistic-and-q-residuals-2209.01984"/></url>
<url><loc>https://scifaro.com/en/abs/advancing-reacting-flow-simulations-with-data-driven-models-2209.02051</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advancing-reacting-flow-simulations-with-data-driven-models-2209.02051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advancing-reacting-flow-simulations-with-data-driven-models-2209.02051"/></url>
<url><loc>https://scifaro.com/en/abs/applying-machine-learning-to-life-insurance-some-knowledge-sharing-to-master-it-2209.02057</loc><lastmod>2022-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applying-machine-learning-to-life-insurance-some-knowledge-sharing-to-master-it-2209.02057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applying-machine-learning-to-life-insurance-some-knowledge-sharing-to-master-it-2209.02057"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-neural-network-inference-via-implicit-models-and-the-posterior-predictive-distribution-2209.02188</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-neural-network-inference-via-implicit-models-and-the-posterior-predictive-distribution-2209.02188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-neural-network-inference-via-implicit-models-and-the-posterior-predictive-distribution-2209.02188"/></url>
<url><loc>https://scifaro.com/en/abs/rates-of-convergence-for-regression-with-the-graph-poly-laplacian-2209.02305</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rates-of-convergence-for-regression-with-the-graph-poly-laplacian-2209.02305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rates-of-convergence-for-regression-with-the-graph-poly-laplacian-2209.02305"/></url>
<url><loc>https://scifaro.com/en/abs/selection-of-a-representative-sorting-model-in-a-preference-disaggregation-setting-a-review-of-existing-procedures-new-proposals-and-experimental-comparison-2209.02410</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selection-of-a-representative-sorting-model-in-a-preference-disaggregation-setting-a-review-of-existing-procedures-new-proposals-and-experimental-comparison-2209.02410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selection-of-a-representative-sorting-model-in-a-preference-disaggregation-setting-a-review-of-existing-procedures-new-proposals-and-experimental-comparison-2209.02410"/></url>
<url><loc>https://scifaro.com/en/abs/generalisation-under-gradient-descent-via-deterministic-pac-bayes-2209.02525</loc><lastmod>2025-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalisation-under-gradient-descent-via-deterministic-pac-bayes-2209.02525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalisation-under-gradient-descent-via-deterministic-pac-bayes-2209.02525"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-invertible-neural-operators-for-bayesian-inverse-problems-2209.02772</loc><lastmod>2023-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-invertible-neural-operators-for-bayesian-inverse-problems-2209.02772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-invertible-neural-operators-for-bayesian-inverse-problems-2209.02772"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-sparse-dag-structure-learning-based-on-adaptive-lasso-2209.02946</loc><lastmod>2023-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-sparse-dag-structure-learning-based-on-adaptive-lasso-2209.02946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-sparse-dag-structure-learning-based-on-adaptive-lasso-2209.02946"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-learning-of-feature-spaces-for-multitasks-problems-2209.03028</loc><lastmod>2023-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-learning-of-feature-spaces-for-multitasks-problems-2209.03028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-learning-of-feature-spaces-for-multitasks-problems-2209.03028"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-the-elbo-to-entropy-sums-2209.03077</loc><lastmod>2024-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-the-elbo-to-entropy-sums-2209.03077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-the-elbo-to-entropy-sums-2209.03077"/></url>
<url><loc>https://scifaro.com/en/abs/non-gaussian-process-regression-2209.03117</loc><lastmod>2022-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-gaussian-process-regression-2209.03117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-gaussian-process-regression-2209.03117"/></url>
<url><loc>https://scifaro.com/en/abs/causal-discovery-for-time-series-with-latent-confounders-2209.03427</loc><lastmod>2022-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-discovery-for-time-series-with-latent-confounders-2209.03427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-discovery-for-time-series-with-latent-confounders-2209.03427"/></url>
<url><loc>https://scifaro.com/en/abs/bi-objective-ranking-and-selection-using-stochastic-kriging-2209.03919</loc><lastmod>2024-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bi-objective-ranking-and-selection-using-stochastic-kriging-2209.03919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bi-objective-ranking-and-selection-using-stochastic-kriging-2209.03919"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-koopman-mode-decomposition-2209.04111</loc><lastmod>2023-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-koopman-mode-decomposition-2209.04111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-koopman-mode-decomposition-2209.04111"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-stochastic-gradient-descent-with-low-noise-2209.04188</loc><lastmod>2023-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-stochastic-gradient-descent-with-low-noise-2209.04188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-stochastic-gradient-descent-with-low-noise-2209.04188"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-residuals-in-non-linear-factor-models-precision-matrix-estimation-of-returns-with-low-signal-to-noise-ratio-2209.04512</loc><lastmod>2023-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-residuals-in-non-linear-factor-models-precision-matrix-estimation-of-returns-with-low-signal-to-noise-ratio-2209.04512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-residuals-in-non-linear-factor-models-precision-matrix-estimation-of-returns-with-low-signal-to-noise-ratio-2209.04512"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-active-sets-for-gaussian-process-decoders-2209.04636</loc><lastmod>2022-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-active-sets-for-gaussian-process-decoders-2209.04636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-active-sets-for-gaussian-process-decoders-2209.04636"/></url>
<url><loc>https://scifaro.com/en/abs/batch-bayesian-optimization-via-particle-gradient-flows-2209.04722</loc><lastmod>2023-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-bayesian-optimization-via-particle-gradient-flows-2209.04722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-bayesian-optimization-via-particle-gradient-flows-2209.04722"/></url>
<url><loc>https://scifaro.com/en/abs/learning-consumer-preferences-from-bundle-sales-data-2209.04942</loc><lastmod>2022-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-consumer-preferences-from-bundle-sales-data-2209.04942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-consumer-preferences-from-bundle-sales-data-2209.04942"/></url>
<url><loc>https://scifaro.com/en/abs/on-topological-data-analysis-for-structural-dynamics-an-introduction-to-persistent-homology-2209.05134</loc><lastmod>2022-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-topological-data-analysis-for-structural-dynamics-an-introduction-to-persistent-homology-2209.05134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-topological-data-analysis-for-structural-dynamics-an-introduction-to-persistent-homology-2209.05134"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-estimation-of-confounded-linear-mdps-an-instrumental-variable-approach-2209.05186</loc><lastmod>2022-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-estimation-of-confounded-linear-mdps-an-instrumental-variable-approach-2209.05186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-estimation-of-confounded-linear-mdps-an-instrumental-variable-approach-2209.05186"/></url>
<url><loc>https://scifaro.com/en/abs/model-interpretation-using-improved-local-regression-with-variable-importance-2209.05371</loc><lastmod>2022-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-interpretation-using-improved-local-regression-with-variable-importance-2209.05371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-interpretation-using-improved-local-regression-with-variable-importance-2209.05371"/></url>
<url><loc>https://scifaro.com/en/abs/a-non-parametric-bootstrap-for-spectral-clustering-2209.05812</loc><lastmod>2024-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-non-parametric-bootstrap-for-spectral-clustering-2209.05812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-non-parametric-bootstrap-for-spectral-clustering-2209.05812"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-bias-with-a-synthetic-data-generator-empirical-evidence-and-philosophical-interpretation-2209.05889</loc><lastmod>2023-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-bias-with-a-synthetic-data-generator-empirical-evidence-and-philosophical-interpretation-2209.05889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-bias-with-a-synthetic-data-generator-empirical-evidence-and-philosophical-interpretation-2209.05889"/></url>
<url><loc>https://scifaro.com/en/abs/variational-causal-inference-2209.05935</loc><lastmod>2025-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-causal-inference-2209.05935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-causal-inference-2209.05935"/></url>
<url><loc>https://scifaro.com/en/abs/sample-complexity-bounds-for-learning-high-dimensional-simplices-in-noisy-regimes-2209.05953</loc><lastmod>2023-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-complexity-bounds-for-learning-high-dimensional-simplices-in-noisy-regimes-2209.05953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-complexity-bounds-for-learning-high-dimensional-simplices-in-noisy-regimes-2209.05953"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-k-means-for-clustering-probability-distributions-2209.06975</loc><lastmod>2022-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-k-means-for-clustering-probability-distributions-2209.06975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-k-means-for-clustering-probability-distributions-2209.06975"/></url>
<url><loc>https://scifaro.com/en/abs/double-doubly-robust-thompson-sampling-for-generalized-linear-contextual-bandits-2209.06983</loc><lastmod>2023-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/double-doubly-robust-thompson-sampling-for-generalized-linear-contextual-bandits-2209.06983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/double-doubly-robust-thompson-sampling-for-generalized-linear-contextual-bandits-2209.06983"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-tree-ensembles-for-estimating-heterogeneous-effects-2209.06998</loc><lastmod>2022-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-tree-ensembles-for-estimating-heterogeneous-effects-2209.06998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-tree-ensembles-for-estimating-heterogeneous-effects-2209.06998"/></url>
<url><loc>https://scifaro.com/en/abs/error-controlled-feature-selection-for-ultrahigh-dimensional-and-highly-correlated-feature-space-using-deep-learning-2209.07011</loc><lastmod>2022-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-controlled-feature-selection-for-ultrahigh-dimensional-and-highly-correlated-feature-space-using-deep-learning-2209.07011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-controlled-feature-selection-for-ultrahigh-dimensional-and-highly-correlated-feature-space-using-deep-learning-2209.07011"/></url>
<url><loc>https://scifaro.com/en/abs/upper-bounds-on-the-natarajan-dimensions-of-some-function-classes-2209.07015</loc><lastmod>2023-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/upper-bounds-on-the-natarajan-dimensions-of-some-function-classes-2209.07015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/upper-bounds-on-the-natarajan-dimensions-of-some-function-classes-2209.07015"/></url>
<url><loc>https://scifaro.com/en/abs/risk-aware-linear-bandits-with-convex-loss-2209.07154</loc><lastmod>2023-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-aware-linear-bandits-with-convex-loss-2209.07154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-aware-linear-bandits-with-convex-loss-2209.07154"/></url>
<url><loc>https://scifaro.com/en/abs/recovery-guarantees-for-distributed-omp-2209.07230</loc><lastmod>2023-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovery-guarantees-for-distributed-omp-2209.07230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovery-guarantees-for-distributed-omp-2209.07230"/></url>
<url><loc>https://scifaro.com/en/abs/a-geometric-perspective-on-variational-autoencoders-2209.07370</loc><lastmod>2022-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-geometric-perspective-on-variational-autoencoders-2209.07370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-geometric-perspective-on-variational-autoencoders-2209.07370"/></url>
<url><loc>https://scifaro.com/en/abs/towards-healing-the-blindness-of-score-matching-2209.07396</loc><lastmod>2025-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-healing-the-blindness-of-score-matching-2209.07396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-healing-the-blindness-of-score-matching-2209.07396"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-insight-into-batch-normalization-data-dependant-auto-tuning-of-regularization-rate-2209.07587</loc><lastmod>2022-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-insight-into-batch-normalization-data-dependant-auto-tuning-of-regularization-rate-2209.07587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-insight-into-batch-normalization-data-dependant-auto-tuning-of-regularization-rate-2209.07587"/></url>
<url><loc>https://scifaro.com/en/abs/double-logistic-regression-approach-to-biased-positive-unlabeled-data-2209.07787</loc><lastmod>2023-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/double-logistic-regression-approach-to-biased-positive-unlabeled-data-2209.07787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/double-logistic-regression-approach-to-biased-positive-unlabeled-data-2209.07787"/></url>
<url><loc>https://scifaro.com/en/abs/stability-and-generalization-for-markov-chain-stochastic-gradient-methods-2209.08005</loc><lastmod>2022-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-and-generalization-for-markov-chain-stochastic-gradient-methods-2209.08005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-and-generalization-for-markov-chain-stochastic-gradient-methods-2209.08005"/></url>
<url><loc>https://scifaro.com/en/abs/detection-of-interacting-variables-for-generalized-linear-models-via-neural-networks-2209.08030</loc><lastmod>2025-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detection-of-interacting-variables-for-generalized-linear-models-via-neural-networks-2209.08030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detection-of-interacting-variables-for-generalized-linear-models-via-neural-networks-2209.08030"/></url>
<url><loc>https://scifaro.com/en/abs/joint-network-topology-inference-via-a-shared-graphon-model-2209.08223</loc><lastmod>2022-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-network-topology-inference-via-a-shared-graphon-model-2209.08223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-network-topology-inference-via-a-shared-graphon-model-2209.08223"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-predictive-uncertainty-estimation-with-machine-learning-2209.08307</loc><lastmod>2024-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-predictive-uncertainty-estimation-with-machine-learning-2209.08307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-predictive-uncertainty-estimation-with-machine-learning-2209.08307"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-and-explaining-model-performance-when-both-covariates-and-labels-shift-2209.08436</loc><lastmod>2022-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-and-explaining-model-performance-when-both-covariates-and-labels-shift-2209.08436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-and-explaining-model-performance-when-both-covariates-and-labels-shift-2209.08436"/></url>
<url><loc>https://scifaro.com/en/abs/bivariate-causal-discovery-for-categorical-data-via-classification-with-optimal-label-permutation-2209.08579</loc><lastmod>2022-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bivariate-causal-discovery-for-categorical-data-via-classification-with-optimal-label-permutation-2209.08579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bivariate-causal-discovery-for-categorical-data-via-classification-with-optimal-label-permutation-2209.08579"/></url>
<url><loc>https://scifaro.com/en/abs/hipart-hierarchical-divisive-clustering-toolbox-2209.08680</loc><lastmod>2023-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hipart-hierarchical-divisive-clustering-toolbox-2209.08680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hipart-hierarchical-divisive-clustering-toolbox-2209.08680"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-federated-learning-on-a-graph-2209.08737</loc><lastmod>2022-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-federated-learning-on-a-graph-2209.08737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-federated-learning-on-a-graph-2209.08737"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-deep-causal-models-and-their-industrial-applications-2209.08860</loc><lastmod>2024-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-deep-causal-models-and-their-industrial-applications-2209.08860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-deep-causal-models-and-their-industrial-applications-2209.08860"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-for-stochastic-gradient-descent-via-localized-varepsilon-covers-2209.08951</loc><lastmod>2022-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-for-stochastic-gradient-descent-via-localized-varepsilon-covers-2209.08951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-for-stochastic-gradient-descent-via-localized-varepsilon-covers-2209.08951"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-aware-efficient-subgraph-isomorphism-using-graph-topology-2209.09090</loc><lastmod>2025-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-aware-efficient-subgraph-isomorphism-using-graph-topology-2209.09090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-aware-efficient-subgraph-isomorphism-using-graph-topology-2209.09090"/></url>
<url><loc>https://scifaro.com/en/abs/physics-informed-machine-learning-of-dynamical-systems-for-efficient-bayesian-inference-2209.09349</loc><lastmod>2022-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-machine-learning-of-dynamical-systems-for-efficient-bayesian-inference-2209.09349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-machine-learning-of-dynamical-systems-for-efficient-bayesian-inference-2209.09349"/></url>
<url><loc>https://scifaro.com/en/abs/deep-physics-corrector-a-physics-enhanced-deep-learning-architecture-for-solving-stochastic-differential-equations-2209.09750</loc><lastmod>2023-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-physics-corrector-a-physics-enhanced-deep-learning-architecture-for-solving-stochastic-differential-equations-2209.09750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-physics-corrector-a-physics-enhanced-deep-learning-architecture-for-solving-stochastic-differential-equations-2209.09750"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generalized-schr-odinger-bridge-2209.09893</loc><lastmod>2022-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generalized-schr-odinger-bridge-2209.09893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generalized-schr-odinger-bridge-2209.09893"/></url>
<url><loc>https://scifaro.com/en/abs/learning-acceptance-regions-for-many-classes-with-anomaly-detection-2209.09963</loc><lastmod>2022-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-acceptance-regions-for-many-classes-with-anomaly-detection-2209.09963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-acceptance-regions-for-many-classes-with-anomaly-detection-2209.09963"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-evaluation-for-episodic-partially-observable-markov-decision-processes-under-non-parametric-models-2209.10064</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-evaluation-for-episodic-partially-observable-markov-decision-processes-under-non-parametric-models-2209.10064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-evaluation-for-episodic-partially-observable-markov-decision-processes-under-non-parametric-models-2209.10064"/></url>
<url><loc>https://scifaro.com/en/abs/projected-gradient-descent-algorithms-for-solving-nonlinear-inverse-problems-with-generative-priors-2209.10093</loc><lastmod>2022-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projected-gradient-descent-algorithms-for-solving-nonlinear-inverse-problems-with-generative-priors-2209.10093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projected-gradient-descent-algorithms-for-solving-nonlinear-inverse-problems-with-generative-priors-2209.10093"/></url>
<url><loc>https://scifaro.com/en/abs/improved-marginal-unbiased-score-expansion-muse-via-implicit-differentiation-2209.10512</loc><lastmod>2022-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-marginal-unbiased-score-expansion-muse-via-implicit-differentiation-2209.10512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-marginal-unbiased-score-expansion-muse-via-implicit-differentiation-2209.10512"/></url>
<url><loc>https://scifaro.com/en/abs/tab2vox-cnn-based-multivariate-multilevel-demand-forecasting-framework-by-tabular-to-voxel-image-conversion-2209.10516</loc><lastmod>2022-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tab2vox-cnn-based-multivariate-multilevel-demand-forecasting-framework-by-tabular-to-voxel-image-conversion-2209.10516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tab2vox-cnn-based-multivariate-multilevel-demand-forecasting-framework-by-tabular-to-voxel-image-conversion-2209.10516"/></url>
<url><loc>https://scifaro.com/en/abs/tighter-variational-bounds-are-not-necessarily-better-a-research-report-on-implementation-ablation-study-and-extensions-2209.11875</loc><lastmod>2022-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tighter-variational-bounds-are-not-necessarily-better-a-research-report-on-implementation-ablation-study-and-extensions-2209.11875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tighter-variational-bounds-are-not-necessarily-better-a-research-report-on-implementation-ablation-study-and-extensions-2209.11875"/></url>
<url><loc>https://scifaro.com/en/abs/concordance-based-survival-cobra-with-regression-type-weak-learners-2209.11919</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concordance-based-survival-cobra-with-regression-type-weak-learners-2209.11919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concordance-based-survival-cobra-with-regression-type-weak-learners-2209.11919"/></url>
<url><loc>https://scifaro.com/en/abs/interventional-causal-representation-learning-2209.11924</loc><lastmod>2024-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interventional-causal-representation-learning-2209.11924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interventional-causal-representation-learning-2209.11924"/></url>
<url><loc>https://scifaro.com/en/abs/from-local-to-global-spectral-inspired-graph-neural-networks-2209.12054</loc><lastmod>2022-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-local-to-global-spectral-inspired-graph-neural-networks-2209.12054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-local-to-global-spectral-inspired-graph-neural-networks-2209.12054"/></url>
<url><loc>https://scifaro.com/en/abs/one-shot-learning-of-stochastic-differential-equations-with-data-adapted-kernels-2209.12086</loc><lastmod>2022-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-shot-learning-of-stochastic-differential-equations-with-data-adapted-kernels-2209.12086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-shot-learning-of-stochastic-differential-equations-with-data-adapted-kernels-2209.12086"/></url>
<url><loc>https://scifaro.com/en/abs/capacity-dependent-analysis-for-functional-online-learning-algorithms-2209.12198</loc><lastmod>2022-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/capacity-dependent-analysis-for-functional-online-learning-algorithms-2209.12198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/capacity-dependent-analysis-for-functional-online-learning-algorithms-2209.12198"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-that-approximate-data-removal-new-results-and-limitations-2209.12269</loc><lastmod>2022-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-that-approximate-data-removal-new-results-and-limitations-2209.12269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-that-approximate-data-removal-new-results-and-limitations-2209.12269"/></url>
<url><loc>https://scifaro.com/en/abs/two-tailed-averaging-anytime-adaptive-once-in-a-while-optimal-weight-averaging-for-better-generalization-2209.12581</loc><lastmod>2023-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-tailed-averaging-anytime-adaptive-once-in-a-while-optimal-weight-averaging-for-better-generalization-2209.12581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-tailed-averaging-anytime-adaptive-once-in-a-while-optimal-weight-averaging-for-better-generalization-2209.12581"/></url>
<url><loc>https://scifaro.com/en/abs/learning-variational-models-with-unrolling-and-bilevel-optimization-2209.12651</loc><lastmod>2023-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-variational-models-with-unrolling-and-bilevel-optimization-2209.12651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-variational-models-with-unrolling-and-bilevel-optimization-2209.12651"/></url>
<url><loc>https://scifaro.com/en/abs/shape-and-structure-preserving-differential-privacy-2209.12667</loc><lastmod>2022-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shape-and-structure-preserving-differential-privacy-2209.12667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shape-and-structure-preserving-differential-privacy-2209.12667"/></url>
<url><loc>https://scifaro.com/en/abs/a-connection-between-probability-physics-and-neural-networks-2209.12737</loc><lastmod>2022-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-connection-between-probability-physics-and-neural-networks-2209.12737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-connection-between-probability-physics-and-neural-networks-2209.12737"/></url>
<url><loc>https://scifaro.com/en/abs/hamiltonian-monte-carlo-for-efficient-gaussian-sampling-long-and-random-steps-2209.12771</loc><lastmod>2022-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hamiltonian-monte-carlo-for-efficient-gaussian-sampling-long-and-random-steps-2209.12771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hamiltonian-monte-carlo-for-efficient-gaussian-sampling-long-and-random-steps-2209.12771"/></url>
<url><loc>https://scifaro.com/en/abs/targeted-separation-and-convergence-with-kernel-discrepancies-2209.12835</loc><lastmod>2025-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/targeted-separation-and-convergence-with-kernel-discrepancies-2209.12835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/targeted-separation-and-convergence-with-kernel-discrepancies-2209.12835"/></url>
<url><loc>https://scifaro.com/en/abs/controlling-mean-exit-time-of-stochastic-dynamical-systems-based-on-quasipotential-and-machine-learning-2209.13098</loc><lastmod>2023-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlling-mean-exit-time-of-stochastic-dynamical-systems-based-on-quasipotential-and-machine-learning-2209.13098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlling-mean-exit-time-of-stochastic-dynamical-systems-based-on-quasipotential-and-machine-learning-2209.13098"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-of-annealed-importance-sampling-hyperparameters-2209.13226</loc><lastmod>2022-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-of-annealed-importance-sampling-hyperparameters-2209.13226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-of-annealed-importance-sampling-hyperparameters-2209.13226"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-hypersonic-reentry-simulations-using-deep-learning-based-hybridization-with-guarantees-2209.13434</loc><lastmod>2022-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-hypersonic-reentry-simulations-using-deep-learning-based-hybridization-with-guarantees-2209.13434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-hypersonic-reentry-simulations-using-deep-learning-based-hybridization-with-guarantees-2209.13434"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-sliced-wasserstein-distance-2209.13570</loc><lastmod>2023-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-sliced-wasserstein-distance-2209.13570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-sliced-wasserstein-distance-2209.13570"/></url>
<url><loc>https://scifaro.com/en/abs/consensus-knowledge-graph-learning-via-multi-view-sparse-low-rank-block-model-2209.13762</loc><lastmod>2024-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consensus-knowledge-graph-learning-via-multi-view-sparse-low-rank-block-model-2209.13762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consensus-knowledge-graph-learning-via-multi-view-sparse-low-rank-block-model-2209.13762"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-diffusion-processes-2209.14125</loc><lastmod>2022-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-diffusion-processes-2209.14125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-diffusion-processes-2209.14125"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-kernel-regularized-least-squares-2209.14355</loc><lastmod>2023-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-kernel-regularized-least-squares-2209.14355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-kernel-regularized-least-squares-2209.14355"/></url>
<url><loc>https://scifaro.com/en/abs/optimistic-posterior-sampling-for-reinforcement-learning-with-few-samples-and-tight-guarantees-2209.14414</loc><lastmod>2022-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimistic-posterior-sampling-for-reinforcement-learning-with-few-samples-and-tight-guarantees-2209.14414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimistic-posterior-sampling-for-reinforcement-learning-with-few-samples-and-tight-guarantees-2209.14414"/></url>
<url><loc>https://scifaro.com/en/abs/local-and-regional-counterfactual-rules-summarized-and-robust-recourses-2209.14568</loc><lastmod>2024-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-and-regional-counterfactual-rules-summarized-and-robust-recourses-2209.14568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-and-regional-counterfactual-rules-summarized-and-robust-recourses-2209.14568"/></url>
<url><loc>https://scifaro.com/en/abs/rectified-flow-a-marginal-preserving-approach-to-optimal-transport-2209.14577</loc><lastmod>2022-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rectified-flow-a-marginal-preserving-approach-to-optimal-transport-2209.14577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rectified-flow-a-marginal-preserving-approach-to-optimal-transport-2209.14577"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-posterior-sampling-for-general-noisy-inverse-problems-2209.14687</loc><lastmod>2025-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-posterior-sampling-for-general-noisy-inverse-problems-2209.14687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-posterior-sampling-for-general-noisy-inverse-problems-2209.14687"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-stopping-with-gaussian-processes-2209.14738</loc><lastmod>2022-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-stopping-with-gaussian-processes-2209.14738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-stopping-with-gaussian-processes-2209.14738"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-efficiently-learn-low-dimensional-representations-with-sgd-2209.14863</loc><lastmod>2023-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-efficiently-learn-low-dimensional-representations-with-sgd-2209.14863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-efficiently-learn-low-dimensional-representations-with-sgd-2209.14863"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-learning-and-inverse-problems-a-stochastic-gradient-approach-2209.14967</loc><lastmod>2022-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-learning-and-inverse-problems-a-stochastic-gradient-approach-2209.14967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-learning-and-inverse-problems-a-stochastic-gradient-approach-2209.14967"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-and-invariant-theory-2209.14991</loc><lastmod>2024-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-and-invariant-theory-2209.14991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-and-invariant-theory-2209.14991"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-bias-of-large-depth-networks-a-notion-of-rank-for-nonlinear-functions-2209.15055</loc><lastmod>2023-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-bias-of-large-depth-networks-a-notion-of-rank-for-nonlinear-functions-2209.15055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-bias-of-large-depth-networks-a-notion-of-rank-for-nonlinear-functions-2209.15055"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-adjusted-semidefinite-programs-for-clustering-heterogeneous-data-2209.15097</loc><lastmod>2023-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-adjusted-semidefinite-programs-for-clustering-heterogeneous-data-2209.15097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-adjusted-semidefinite-programs-for-clustering-heterogeneous-data-2209.15097"/></url>
<url><loc>https://scifaro.com/en/abs/structured-optimal-variational-inference-for-dynamic-latent-space-models-2209.15117</loc><lastmod>2024-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-optimal-variational-inference-for-dynamic-latent-space-models-2209.15117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-optimal-variational-inference-for-dynamic-latent-space-models-2209.15117"/></url>
<url><loc>https://scifaro.com/en/abs/robust-unsupervised-multi-task-and-transfer-learning-on-gaussian-mixture-models-2209.15224</loc><lastmod>2025-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-unsupervised-multi-task-and-transfer-learning-on-gaussian-mixture-models-2209.15224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-unsupervised-multi-task-and-transfer-learning-on-gaussian-mixture-models-2209.15224"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-tree-based-initialization-for-neural-networks-2209.15283</loc><lastmod>2022-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-tree-based-initialization-for-neural-networks-2209.15283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-tree-based-initialization-for-neural-networks-2209.15283"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-variational-autoencoders-for-multiple-data-imputation-2209.15321</loc><lastmod>2022-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-variational-autoencoders-for-multiple-data-imputation-2209.15321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-variational-autoencoders-for-multiple-data-imputation-2209.15321"/></url>
<url><loc>https://scifaro.com/en/abs/many-body-approximation-for-non-negative-tensors-2209.15338</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/many-body-approximation-for-non-negative-tensors-2209.15338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/many-body-approximation-for-non-negative-tensors-2209.15338"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-based-gradient-inference-for-particle-methods-in-optimization-and-sampling-2209.15420</loc><lastmod>2023-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-based-gradient-inference-for-particle-methods-in-optimization-and-sampling-2209.15420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-based-gradient-inference-for-particle-methods-in-optimization-and-sampling-2209.15420"/></url>
<url><loc>https://scifaro.com/en/abs/sparsity-constrained-optimal-transport-2209.15466</loc><lastmod>2023-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsity-constrained-optimal-transport-2209.15466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsity-constrained-optimal-transport-2209.15466"/></url>
<url><loc>https://scifaro.com/en/abs/phi-dvae-physics-informed-dynamical-variational-autoencoders-for-unstructured-data-assimilation-2209.15609</loc><lastmod>2024-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phi-dvae-physics-informed-dynamical-variational-autoencoders-for-unstructured-data-assimilation-2209.15609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phi-dvae-physics-informed-dynamical-variational-autoencoders-for-unstructured-data-assimilation-2209.15609"/></url>
<url><loc>https://scifaro.com/en/abs/finding-neemo-geometric-fitting-using-neural-estimation-of-the-energy-mover-s-distance-2209.15624</loc><lastmod>2022-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-neemo-geometric-fitting-using-neural-estimation-of-the-energy-mover-s-distance-2209.15624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-neemo-geometric-fitting-using-neural-estimation-of-the-energy-mover-s-distance-2209.15624"/></url>
<url><loc>https://scifaro.com/en/abs/causal-estimation-for-text-data-with-apparent-overlap-violations-2210.00079</loc><lastmod>2023-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-estimation-for-text-data-with-apparent-overlap-violations-2210.00079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-estimation-for-text-data-with-apparent-overlap-violations-2210.00079"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-for-optimization-based-graph-coarsening-2210.00437</loc><lastmod>2022-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-for-optimization-based-graph-coarsening-2210.00437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-for-optimization-based-graph-coarsening-2210.00437"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-infinite-depth-limit-of-finite-width-neural-networks-2210.00688</loc><lastmod>2023-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-infinite-depth-limit-of-finite-width-neural-networks-2210.00688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-infinite-depth-limit-of-finite-width-neural-networks-2210.00688"/></url>
<url><loc>https://scifaro.com/en/abs/a-large-sample-theory-for-infinitesimal-gradient-boosting-2210.00736</loc><lastmod>2023-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-large-sample-theory-for-infinitesimal-gradient-boosting-2210.00736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-large-sample-theory-for-infinitesimal-gradient-boosting-2210.00736"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayes-generalisation-bounds-for-heavy-tailed-losses-through-supermartingales-2210.00928</loc><lastmod>2023-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayes-generalisation-bounds-for-heavy-tailed-losses-through-supermartingales-2210.00928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayes-generalisation-bounds-for-heavy-tailed-losses-through-supermartingales-2210.00928"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-consumption-investment-choices-under-wealth-driven-risk-aversion-2210.00950</loc><lastmod>2022-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-consumption-investment-choices-under-wealth-driven-risk-aversion-2210.00950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-consumption-investment-choices-under-wealth-driven-risk-aversion-2210.00950"/></url>
<url><loc>https://scifaro.com/en/abs/bias-and-extrapolation-in-markovian-linear-stochastic-approximation-with-constant-stepsizes-2210.00953</loc><lastmod>2026-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bias-and-extrapolation-in-markovian-linear-stochastic-approximation-with-constant-stepsizes-2210.00953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bias-and-extrapolation-in-markovian-linear-stochastic-approximation-with-constant-stepsizes-2210.00953"/></url>
<url><loc>https://scifaro.com/en/abs/dealing-with-unknown-variances-in-best-arm-identification-2210.00974</loc><lastmod>2023-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dealing-with-unknown-variances-in-best-arm-identification-2210.00974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dealing-with-unknown-variances-in-best-arm-identification-2210.00974"/></url>
<url><loc>https://scifaro.com/en/abs/online-self-concordant-and-relatively-smooth-minimization-with-applications-to-online-portfolio-selection-and-learning-quantum-states-2210.00997</loc><lastmod>2023-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-self-concordant-and-relatively-smooth-minimization-with-applications-to-online-portfolio-selection-and-learning-quantum-states-2210.00997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-self-concordant-and-relatively-smooth-minimization-with-applications-to-online-portfolio-selection-and-learning-quantum-states-2210.00997"/></url>
<url><loc>https://scifaro.com/en/abs/new-paradigms-for-exploiting-parallel-experiments-in-bayesian-optimization-2210.01071</loc><lastmod>2023-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-paradigms-for-exploiting-parallel-experiments-in-bayesian-optimization-2210.01071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-paradigms-for-exploiting-parallel-experiments-in-bayesian-optimization-2210.01071"/></url>
<url><loc>https://scifaro.com/en/abs/max-quantile-grouped-infinite-arm-bandits-2210.01295</loc><lastmod>2023-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/max-quantile-grouped-infinite-arm-bandits-2210.01295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/max-quantile-grouped-infinite-arm-bandits-2210.01295"/></url>
<url><loc>https://scifaro.com/en/abs/revealing-unobservables-by-deep-learning-generative-element-extraction-networks-geen-2210.01300</loc><lastmod>2022-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revealing-unobservables-by-deep-learning-generative-element-extraction-networks-geen-2210.01300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revealing-unobservables-by-deep-learning-generative-element-extraction-networks-geen-2210.01300"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-regression-with-aggregated-outputs-2210.01329</loc><lastmod>2022-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-regression-with-aggregated-outputs-2210.01329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-regression-with-aggregated-outputs-2210.01329"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-bayesian-optimization-with-decision-theoretic-entropies-2210.01383</loc><lastmod>2022-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-bayesian-optimization-with-decision-theoretic-entropies-2210.01383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-bayesian-optimization-with-decision-theoretic-entropies-2210.01383"/></url>
<url><loc>https://scifaro.com/en/abs/multi-fidelity-monte-carlo-a-pseudo-marginal-approach-2210.01534</loc><lastmod>2022-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-fidelity-monte-carlo-a-pseudo-marginal-approach-2210.01534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-fidelity-monte-carlo-a-pseudo-marginal-approach-2210.01534"/></url>
<url><loc>https://scifaro.com/en/abs/new-machine-learning-techniques-for-simulation-based-inference-inferostatic-nets-kernel-score-estimation-and-kernel-likelihood-ratio-estimation-2210.01680</loc><lastmod>2023-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-machine-learning-techniques-for-simulation-based-inference-inferostatic-nets-kernel-score-estimation-and-kernel-likelihood-ratio-estimation-2210.01680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-machine-learning-techniques-for-simulation-based-inference-inferostatic-nets-kernel-score-estimation-and-kernel-likelihood-ratio-estimation-2210.01680"/></url>
<url><loc>https://scifaro.com/en/abs/group-personalized-federated-learning-2210.01863</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-personalized-federated-learning-2210.01863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-personalized-federated-learning-2210.01863"/></url>
<url><loc>https://scifaro.com/en/abs/conformalized-fairness-via-quantile-regression-2210.02015</loc><lastmod>2022-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformalized-fairness-via-quantile-regression-2210.02015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformalized-fairness-via-quantile-regression-2210.02015"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-hyper-gradient-computation-over-time-varying-directed-networks-2210.02129</loc><lastmod>2023-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-hyper-gradient-computation-over-time-varying-directed-networks-2210.02129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-hyper-gradient-computation-over-time-varying-directed-networks-2210.02129"/></url>
<url><loc>https://scifaro.com/en/abs/the-influence-of-learning-rule-on-representation-dynamics-in-wide-neural-networks-2210.02157</loc><lastmod>2023-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-influence-of-learning-rule-on-representation-dynamics-in-wide-neural-networks-2210.02157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-influence-of-learning-rule-on-representation-dynamics-in-wide-neural-networks-2210.02157"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-probabilistic-reconciliation-of-forecasts-for-real-valued-and-count-time-series-2210.02286</loc><lastmod>2023-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-probabilistic-reconciliation-of-forecasts-for-real-valued-and-count-time-series-2210.02286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-probabilistic-reconciliation-of-forecasts-for-real-valued-and-count-time-series-2210.02286"/></url>
<url><loc>https://scifaro.com/en/abs/fisher-information-lower-bounds-for-sampling-2210.02482</loc><lastmod>2022-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fisher-information-lower-bounds-for-sampling-2210.02482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fisher-information-lower-bounds-for-sampling-2210.02482"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-regularization-allows-data-frugal-learning-over-combinatorial-spaces-2210.02604</loc><lastmod>2022-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-regularization-allows-data-frugal-learning-over-combinatorial-spaces-2210.02604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-regularization-allows-data-frugal-learning-over-combinatorial-spaces-2210.02604"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-using-data-depth-multivariate-case-2210.02851</loc><lastmod>2024-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-using-data-depth-multivariate-case-2210.02851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-using-data-depth-multivariate-case-2210.02851"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-up-stochastic-gradient-descent-for-non-convex-optimisation-2210.02882</loc><lastmod>2022-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-up-stochastic-gradient-descent-for-non-convex-optimisation-2210.02882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-up-stochastic-gradient-descent-for-non-convex-optimisation-2210.02882"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-feature-importance-for-mixed-data-2210.03047</loc><lastmod>2023-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-feature-importance-for-mixed-data-2210.03047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-feature-importance-for-mixed-data-2210.03047"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-calibration-of-set-predictors-via-meta-learned-cross-validation-based-conformal-prediction-2210.03067</loc><lastmod>2022-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-calibration-of-set-predictors-via-meta-learned-cross-validation-based-conformal-prediction-2210.03067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-calibration-of-set-predictors-via-meta-learned-cross-validation-based-conformal-prediction-2210.03067"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-neural-coding-on-latent-manifolds-by-sharing-features-and-dividing-ensembles-2210.03155</loc><lastmod>2023-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-neural-coding-on-latent-manifolds-by-sharing-features-and-dividing-ensembles-2210.03155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-neural-coding-on-latent-manifolds-by-sharing-features-and-dividing-ensembles-2210.03155"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-model-incorporating-auxiliary-covariates-to-control-fdr-2210.03178</loc><lastmod>2022-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-model-incorporating-auxiliary-covariates-to-control-fdr-2210.03178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-model-incorporating-auxiliary-covariates-to-control-fdr-2210.03178"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-mixtures-of-unknown-causal-interventions-2210.03242</loc><lastmod>2022-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-mixtures-of-unknown-causal-interventions-2210.03242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-mixtures-of-unknown-causal-interventions-2210.03242"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-network-training-using-higher-order-moments-in-a-modified-wasserstein-distance-2210.03354</loc><lastmod>2022-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-network-training-using-higher-order-moments-in-a-modified-wasserstein-distance-2210.03354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-network-training-using-higher-order-moments-in-a-modified-wasserstein-distance-2210.03354"/></url>
<url><loc>https://scifaro.com/en/abs/1st-iclr-international-workshop-on-privacy-accountability-interpretability-robustness-reasoning-on-structured-data-pair-2struct-2210.03612</loc><lastmod>2022-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/1st-iclr-international-workshop-on-privacy-accountability-interpretability-robustness-reasoning-on-structured-data-pair-2struct-2210.03612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/1st-iclr-international-workshop-on-privacy-accountability-interpretability-robustness-reasoning-on-structured-data-pair-2struct-2210.03612"/></url>
<url><loc>https://scifaro.com/en/abs/class-wise-and-reduced-calibration-methods-2210.03702</loc><lastmod>2022-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/class-wise-and-reduced-calibration-methods-2210.03702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/class-wise-and-reduced-calibration-methods-2210.03702"/></url>
<url><loc>https://scifaro.com/en/abs/spectrally-corrected-and-regularized-linear-discriminant-analysis-for-spiked-covariance-model-2210.03859</loc><lastmod>2024-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectrally-corrected-and-regularized-linear-discriminant-analysis-for-spiked-covariance-model-2210.03859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectrally-corrected-and-regularized-linear-discriminant-analysis-for-spiked-covariance-model-2210.03859"/></url>
<url><loc>https://scifaro.com/en/abs/a-concentration-bound-for-distributed-stochastic-approximation-2210.04253</loc><lastmod>2022-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-concentration-bound-for-distributed-stochastic-approximation-2210.04253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-concentration-bound-for-distributed-stochastic-approximation-2210.04253"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-intervals-for-neural-network-models-using-weighted-asymmetric-loss-functions-2210.04318</loc><lastmod>2023-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-intervals-for-neural-network-models-using-weighted-asymmetric-loss-functions-2210.04318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-intervals-for-neural-network-models-using-weighted-asymmetric-loss-functions-2210.04318"/></url>
<url><loc>https://scifaro.com/en/abs/deepmed-semiparametric-causal-mediation-analysis-with-debiased-deep-learning-2210.04389</loc><lastmod>2022-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepmed-semiparametric-causal-mediation-analysis-with-debiased-deep-learning-2210.04389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepmed-semiparametric-causal-mediation-analysis-with-debiased-deep-learning-2210.04389"/></url>
<url><loc>https://scifaro.com/en/abs/scale-equivariant-u-net-2210.04508</loc><lastmod>2022-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scale-equivariant-u-net-2210.04508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scale-equivariant-u-net-2210.04508"/></url>
<url><loc>https://scifaro.com/en/abs/fadin-fast-discretized-inference-for-hawkes-processes-with-general-parametric-kernels-2210.04635</loc><lastmod>2023-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fadin-fast-discretized-inference-for-hawkes-processes-with-general-parametric-kernels-2210.04635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fadin-fast-discretized-inference-for-hawkes-processes-with-general-parametric-kernels-2210.04635"/></url>
<url><loc>https://scifaro.com/en/abs/truncated-proposals-for-scalable-and-hassle-free-simulation-based-inference-2210.04815</loc><lastmod>2022-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/truncated-proposals-for-scalable-and-hassle-free-simulation-based-inference-2210.04815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/truncated-proposals-for-scalable-and-hassle-free-simulation-based-inference-2210.04815"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-neural-score-estimation-likelihood-free-inference-with-conditional-score-based-diffusion-models-2210.04872</loc><lastmod>2024-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-neural-score-estimation-likelihood-free-inference-with-conditional-score-based-diffusion-models-2210.04872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-neural-score-estimation-likelihood-free-inference-with-conditional-score-based-diffusion-models-2210.04872"/></url>
<url><loc>https://scifaro.com/en/abs/function-space-regularized-r-enyi-divergences-2210.04974</loc><lastmod>2023-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/function-space-regularized-r-enyi-divergences-2210.04974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/function-space-regularized-r-enyi-divergences-2210.04974"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-based-inference-for-large-linear-models-with-application-to-linearised-laplace-2210.04994</loc><lastmod>2023-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-based-inference-for-large-linear-models-with-application-to-linearised-laplace-2210.04994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-based-inference-for-large-linear-models-with-application-to-linearised-laplace-2210.04994"/></url>
<url><loc>https://scifaro.com/en/abs/combining-datasets-to-increase-the-number-of-samples-and-improve-model-fitting-2210.05165</loc><lastmod>2023-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-datasets-to-increase-the-number-of-samples-and-improve-model-fitting-2210.05165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-datasets-to-increase-the-number-of-samples-and-improve-model-fitting-2210.05165"/></url>
<url><loc>https://scifaro.com/en/abs/factors-of-influence-of-the-overestimation-bias-of-q-learning-2210.05262</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factors-of-influence-of-the-overestimation-bias-of-q-learning-2210.05262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factors-of-influence-of-the-overestimation-bias-of-q-learning-2210.05262"/></url>
<url><loc>https://scifaro.com/en/abs/constructing-prediction-intervals-with-neural-networks-an-empirical-evaluation-of-bootstrapping-and-conformal-inference-methods-2210.05354</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constructing-prediction-intervals-with-neural-networks-an-empirical-evaluation-of-bootstrapping-and-conformal-inference-methods-2210.05354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constructing-prediction-intervals-with-neural-networks-an-empirical-evaluation-of-bootstrapping-and-conformal-inference-methods-2210.05354"/></url>
<url><loc>https://scifaro.com/en/abs/non-asymptotic-analysis-of-a-ucb-based-top-two-algorithm-2210.05431</loc><lastmod>2023-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-asymptotic-analysis-of-a-ucb-based-top-two-algorithm-2210.05431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-asymptotic-analysis-of-a-ucb-based-top-two-algorithm-2210.05431"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-causal-effects-from-sets-of-interventions-in-the-presence-of-unobserved-confounders-2210.05446</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-causal-effects-from-sets-of-interventions-in-the-presence-of-unobserved-confounders-2210.05446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-causal-effects-from-sets-of-interventions-in-the-presence-of-unobserved-confounders-2210.05446"/></url>
<url><loc>https://scifaro.com/en/abs/genie-higher-order-denoising-diffusion-solvers-2210.05475</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/genie-higher-order-denoising-diffusion-solvers-2210.05475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/genie-higher-order-denoising-diffusion-solvers-2210.05475"/></url>
<url><loc>https://scifaro.com/en/abs/misspecified-phase-retrieval-with-generative-priors-2210.05571</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/misspecified-phase-retrieval-with-generative-priors-2210.05571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/misspecified-phase-retrieval-with-generative-priors-2210.05571"/></url>
<url><loc>https://scifaro.com/en/abs/on-adaptivity-in-non-stationary-stochastic-optimization-with-bandit-feedback-2210.05584</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-adaptivity-in-non-stationary-stochastic-optimization-with-bandit-feedback-2210.05584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-adaptivity-in-non-stationary-stochastic-optimization-with-bandit-feedback-2210.05584"/></url>
<url><loc>https://scifaro.com/en/abs/context-aware-bayesian-mixed-multinomial-logit-model-2210.05737</loc><lastmod>2023-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-aware-bayesian-mixed-multinomial-logit-model-2210.05737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-aware-bayesian-mixed-multinomial-logit-model-2210.05737"/></url>
<url><loc>https://scifaro.com/en/abs/on-rkhs-choices-for-assessing-graph-generators-via-kernel-stein-statistics-2210.05746</loc><lastmod>2022-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-rkhs-choices-for-assessing-graph-generators-via-kernel-stein-statistics-2210.05746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-rkhs-choices-for-assessing-graph-generators-via-kernel-stein-statistics-2210.05746"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-prediction-of-stream-turbidity-using-surrogate-data-and-a-meta-model-approach-2210.05821</loc><lastmod>2022-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-prediction-of-stream-turbidity-using-surrogate-data-and-a-meta-model-approach-2210.05821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-prediction-of-stream-turbidity-using-surrogate-data-and-a-meta-model-approach-2210.05821"/></url>
<url><loc>https://scifaro.com/en/abs/identifiability-and-asymptotics-in-learning-homogeneous-linear-ode-systems-from-discrete-observations-2210.05955</loc><lastmod>2024-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifiability-and-asymptotics-in-learning-homogeneous-linear-ode-systems-from-discrete-observations-2210.05955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifiability-and-asymptotics-in-learning-homogeneous-linear-ode-systems-from-discrete-observations-2210.05955"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-bootstrap-new-privacy-analysis-and-inference-strategies-2210.06140</loc><lastmod>2025-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-bootstrap-new-privacy-analysis-and-inference-strategies-2210.06140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-bootstrap-new-privacy-analysis-and-inference-strategies-2210.06140"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-neural-ratio-estimation-for-simulation-based-inference-2210.06170</loc><lastmod>2024-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-neural-ratio-estimation-for-simulation-based-inference-2210.06170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-neural-ratio-estimation-for-simulation-based-inference-2210.06170"/></url>
<url><loc>https://scifaro.com/en/abs/alpha-divergence-variational-inference-meets-importance-weighted-auto-encoders-methodology-and-asymptotics-2210.06226</loc><lastmod>2023-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alpha-divergence-variational-inference-meets-importance-weighted-auto-encoders-methodology-and-asymptotics-2210.06226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alpha-divergence-variational-inference-meets-importance-weighted-auto-encoders-methodology-and-asymptotics-2210.06226"/></url>
<url><loc>https://scifaro.com/en/abs/faux-testing-individual-fairness-via-gradient-alignment-2210.06288</loc><lastmod>2022-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faux-testing-individual-fairness-via-gradient-alignment-2210.06288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faux-testing-individual-fairness-via-gradient-alignment-2210.06288"/></url>
<url><loc>https://scifaro.com/en/abs/generalised-mutual-information-for-discriminative-clustering-2210.06300</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalised-mutual-information-for-discriminative-clustering-2210.06300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalised-mutual-information-for-discriminative-clustering-2210.06300"/></url>
<url><loc>https://scifaro.com/en/abs/robust-neural-posterior-estimation-and-statistical-model-criticism-2210.06564</loc><lastmod>2022-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-neural-posterior-estimation-and-statistical-model-criticism-2210.06564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-neural-posterior-estimation-and-statistical-model-criticism-2210.06564"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-processes-on-distributions-based-on-regularized-optimal-transport-2210.06574</loc><lastmod>2022-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-processes-on-distributions-based-on-regularized-optimal-transport-2210.06574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-processes-on-distributions-based-on-regularized-optimal-transport-2210.06574"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-efficient-implementation-of-high-accuracy-optimality-of-profile-maximum-likelihood-2210.06728</loc><lastmod>2022-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-efficient-implementation-of-high-accuracy-optimality-of-profile-maximum-likelihood-2210.06728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-efficient-implementation-of-high-accuracy-optimality-of-profile-maximum-likelihood-2210.06728"/></url>
<url><loc>https://scifaro.com/en/abs/dirichlet-process-mixture-models-for-non-stationary-data-streams-2210.06872</loc><lastmod>2022-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dirichlet-process-mixture-models-for-non-stationary-data-streams-2210.06872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dirichlet-process-mixture-models-for-non-stationary-data-streams-2210.06872"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-potential-benefits-of-entropic-regularization-for-smoothing-wasserstein-estimators-2210.06934</loc><lastmod>2024-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-potential-benefits-of-entropic-regularization-for-smoothing-wasserstein-estimators-2210.06934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-potential-benefits-of-entropic-regularization-for-smoothing-wasserstein-estimators-2210.06934"/></url>
<url><loc>https://scifaro.com/en/abs/learning-multivariate-cdfs-and-copulas-using-tensor-factorization-2210.07132</loc><lastmod>2022-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-multivariate-cdfs-and-copulas-using-tensor-factorization-2210.07132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-multivariate-cdfs-and-copulas-using-tensor-factorization-2210.07132"/></url>
<url><loc>https://scifaro.com/en/abs/meta-uncertainty-in-bayesian-model-comparison-2210.07278</loc><lastmod>2023-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-uncertainty-in-bayesian-model-comparison-2210.07278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-uncertainty-in-bayesian-model-comparison-2210.07278"/></url>
<url><loc>https://scifaro.com/en/abs/invariance-adapted-decomposition-and-lasso-type-contrastive-learning-2210.07413</loc><lastmod>2022-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invariance-adapted-decomposition-and-lasso-type-contrastive-learning-2210.07413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invariance-adapted-decomposition-and-lasso-type-contrastive-learning-2210.07413"/></url>
<url><loc>https://scifaro.com/en/abs/monotonicity-and-double-descent-in-uncertainty-estimation-with-gaussian-processes-2210.07612</loc><lastmod>2023-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monotonicity-and-double-descent-in-uncertainty-estimation-with-gaussian-processes-2210.07612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monotonicity-and-double-descent-in-uncertainty-estimation-with-gaussian-processes-2210.07612"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-and-lossless-distributed-estimation-of-high-dimensional-generalized-additive-mixed-models-2210.07723</loc><lastmod>2023-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-and-lossless-distributed-estimation-of-high-dimensional-generalized-additive-mixed-models-2210.07723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-and-lossless-distributed-estimation-of-high-dimensional-generalized-additive-mixed-models-2210.07723"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-adaboost-converges-2210.07808</loc><lastmod>2023-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-adaboost-converges-2210.07808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-adaboost-converges-2210.07808"/></url>
<url><loc>https://scifaro.com/en/abs/a-consistent-and-differentiable-lp-canonical-calibration-error-estimator-2210.07810</loc><lastmod>2022-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-consistent-and-differentiable-lp-canonical-calibration-error-estimator-2210.07810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-consistent-and-differentiable-lp-canonical-calibration-error-estimator-2210.07810"/></url>
<url><loc>https://scifaro.com/en/abs/commutativity-and-disentanglement-from-the-manifold-perspective-2210.07857</loc><lastmod>2023-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/commutativity-and-disentanglement-from-the-manifold-perspective-2210.07857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/commutativity-and-disentanglement-from-the-manifold-perspective-2210.07857"/></url>
<url><loc>https://scifaro.com/en/abs/tunable-complexity-benchmarks-for-evaluating-physics-informed-neural-networks-on-coupled-ordinary-differential-equations-2210.07880</loc><lastmod>2022-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tunable-complexity-benchmarks-for-evaluating-physics-informed-neural-networks-on-coupled-ordinary-differential-equations-2210.07880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tunable-complexity-benchmarks-for-evaluating-physics-informed-neural-networks-on-coupled-ordinary-differential-equations-2210.07880"/></url>
<url><loc>https://scifaro.com/en/abs/numerically-stable-sparse-gaussian-processes-via-minimum-separation-using-cover-trees-2210.07893</loc><lastmod>2024-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/numerically-stable-sparse-gaussian-processes-via-minimum-separation-using-cover-trees-2210.07893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/numerically-stable-sparse-gaussian-processes-via-minimum-separation-using-cover-trees-2210.07893"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-learning-of-neural-networks-for-prequential-mdl-2210.07931</loc><lastmod>2022-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-learning-of-neural-networks-for-prequential-mdl-2210.07931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-learning-of-neural-networks-for-prequential-mdl-2210.07931"/></url>
<url><loc>https://scifaro.com/en/abs/a-variational-perspective-on-generative-flow-networks-2210.07992</loc><lastmod>2022-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-variational-perspective-on-generative-flow-networks-2210.07992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-variational-perspective-on-generative-flow-networks-2210.07992"/></url>
<url><loc>https://scifaro.com/en/abs/movement-penalized-bayesian-optimization-with-application-to-wind-energy-systems-2210.08087</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/movement-penalized-bayesian-optimization-with-application-to-wind-energy-systems-2210.08087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/movement-penalized-bayesian-optimization-with-application-to-wind-energy-systems-2210.08087"/></url>
<url><loc>https://scifaro.com/en/abs/a-kernel-approach-for-pde-discovery-and-operator-learning-2210.08140</loc><lastmod>2023-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-kernel-approach-for-pde-discovery-and-operator-learning-2210.08140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-kernel-approach-for-pde-discovery-and-operator-learning-2210.08140"/></url>
<url><loc>https://scifaro.com/en/abs/skeptical-inferences-in-multi-label-ranking-with-sets-of-probabilities-2210.08576</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/skeptical-inferences-in-multi-label-ranking-with-sets-of-probabilities-2210.08576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/skeptical-inferences-in-multi-label-ranking-with-sets-of-probabilities-2210.08576"/></url>
<url><loc>https://scifaro.com/en/abs/rbx-region-based-explanations-of-prediction-models-2210.08721</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rbx-region-based-explanations-of-prediction-models-2210.08721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rbx-region-based-explanations-of-prediction-models-2210.08721"/></url>
<url><loc>https://scifaro.com/en/abs/forget-unlearning-towards-true-data-deletion-in-machine-learning-2210.08911</loc><lastmod>2023-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forget-unlearning-towards-true-data-deletion-in-machine-learning-2210.08911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forget-unlearning-towards-true-data-deletion-in-machine-learning-2210.08911"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-identifiability-and-estimation-of-causal-location-scale-noise-models-2210.09054</loc><lastmod>2023-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-identifiability-and-estimation-of-causal-location-scale-noise-models-2210.09054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-identifiability-and-estimation-of-causal-location-scale-noise-models-2210.09054"/></url>
<url><loc>https://scifaro.com/en/abs/forward-backward-latent-state-inference-for-hidden-continuous-time-semi-markov-chains-2210.09058</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forward-backward-latent-state-inference-for-hidden-continuous-time-semi-markov-chains-2210.09058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forward-backward-latent-state-inference-for-hidden-continuous-time-semi-markov-chains-2210.09058"/></url>
<url><loc>https://scifaro.com/en/abs/data-subsampling-for-bayesian-neural-networks-2210.09141</loc><lastmod>2024-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-subsampling-for-bayesian-neural-networks-2210.09141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-subsampling-for-bayesian-neural-networks-2210.09141"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-robustness-and-computational-guarantees-for-sliced-wasserstein-distances-2210.09160</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-robustness-and-computational-guarantees-for-sliced-wasserstein-distances-2210.09160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-robustness-and-computational-guarantees-for-sliced-wasserstein-distances-2210.09160"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-neural-processes-for-molecules-2210.09211</loc><lastmod>2023-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-neural-processes-for-molecules-2210.09211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-neural-processes-for-molecules-2210.09211"/></url>
<url><loc>https://scifaro.com/en/abs/a-mixing-time-lower-bound-for-a-simplified-version-of-bart-2210.09352</loc><lastmod>2022-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-mixing-time-lower-bound-for-a-simplified-version-of-bart-2210.09352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-mixing-time-lower-bound-for-a-simplified-version-of-bart-2210.09352"/></url>
<url><loc>https://scifaro.com/en/abs/a-tradeoff-between-universality-of-equivariant-models-and-learnability-of-symmetries-2210.09444</loc><lastmod>2022-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tradeoff-between-universality-of-equivariant-models-and-learnability-of-symmetries-2210.09444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tradeoff-between-universality-of-equivariant-models-and-learnability-of-symmetries-2210.09444"/></url>
<url><loc>https://scifaro.com/en/abs/consistent-multiclass-algorithms-for-complex-metrics-and-constraints-2210.09695</loc><lastmod>2022-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-multiclass-algorithms-for-complex-metrics-and-constraints-2210.09695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-multiclass-algorithms-for-complex-metrics-and-constraints-2210.09695"/></url>
<url><loc>https://scifaro.com/en/abs/importance-weighting-correction-of-regularized-least-squares-for-target-shift-2210.09709</loc><lastmod>2026-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-weighting-correction-of-regularized-least-squares-for-target-shift-2210.09709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-weighting-correction-of-regularized-least-squares-for-target-shift-2210.09709"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-with-affine-model-transformation-2210.09745</loc><lastmod>2024-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-with-affine-model-transformation-2210.09745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-with-affine-model-transformation-2210.09745"/></url>
<url><loc>https://scifaro.com/en/abs/bagged-k-distance-for-mode-based-clustering-using-the-probability-of-localized-level-sets-2210.09786</loc><lastmod>2022-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bagged-k-distance-for-mode-based-clustering-using-the-probability-of-localized-level-sets-2210.09786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bagged-k-distance-for-mode-based-clustering-using-the-probability-of-localized-level-sets-2210.09786"/></url>
<url><loc>https://scifaro.com/en/abs/measure-theoretic-probability-of-complex-co-occurrence-and-e-integral-2210.09913</loc><lastmod>2022-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measure-theoretic-probability-of-complex-co-occurrence-and-e-integral-2210.09913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measure-theoretic-probability-of-complex-co-occurrence-and-e-integral-2210.09913"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-diffusion-models-2210.09929</loc><lastmod>2024-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-diffusion-models-2210.09929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-diffusion-models-2210.09929"/></url>
<url><loc>https://scifaro.com/en/abs/locally-smoothed-gaussian-process-regression-2210.09998</loc><lastmod>2022-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-smoothed-gaussian-process-regression-2210.09998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-smoothed-gaussian-process-regression-2210.09998"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-quantile-regression-non-crossing-constraints-and-conformal-prediction-2210.10161</loc><lastmod>2022-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-quantile-regression-non-crossing-constraints-and-conformal-prediction-2210.10161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-quantile-regression-non-crossing-constraints-and-conformal-prediction-2210.10161"/></url>
<url><loc>https://scifaro.com/en/abs/fast-approximation-of-the-generalized-sliced-wasserstein-distance-2210.10268</loc><lastmod>2022-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-approximation-of-the-generalized-sliced-wasserstein-distance-2210.10268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-approximation-of-the-generalized-sliced-wasserstein-distance-2210.10268"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-sharpness-aware-minimization-as-variational-inference-2210.10452</loc><lastmod>2022-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-sharpness-aware-minimization-as-variational-inference-2210.10452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-sharpness-aware-minimization-as-variational-inference-2210.10452"/></url>
<url><loc>https://scifaro.com/en/abs/graph-sampling-for-node-embedding-2210.10520</loc><lastmod>2022-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-sampling-for-node-embedding-2210.10520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-sampling-for-node-embedding-2210.10520"/></url>
<url><loc>https://scifaro.com/en/abs/a-kernel-stein-test-of-goodness-of-fit-for-sequential-models-2210.10741</loc><lastmod>2023-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-kernel-stein-test-of-goodness-of-fit-for-sequential-models-2210.10741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-kernel-stein-test-of-goodness-of-fit-for-sequential-models-2210.10741"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-properties-of-decision-trees-on-real-valued-and-categorical-features-2210.10781</loc><lastmod>2022-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-properties-of-decision-trees-on-real-valued-and-categorical-features-2210.10781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-properties-of-decision-trees-on-real-valued-and-categorical-features-2210.10781"/></url>
<url><loc>https://scifaro.com/en/abs/on-learning-fairness-and-accuracy-on-multiple-subgroups-2210.10837</loc><lastmod>2022-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-learning-fairness-and-accuracy-on-multiple-subgroups-2210.10837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-learning-fairness-and-accuracy-on-multiple-subgroups-2210.10837"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-on-manifolds-via-graph-gaussian-processes-2210.10962</loc><lastmod>2023-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-on-manifolds-via-graph-gaussian-processes-2210.10962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-on-manifolds-via-graph-gaussian-processes-2210.10962"/></url>
<url><loc>https://scifaro.com/en/abs/a-lower-confidence-sequence-for-the-changing-mean-of-non-negative-right-heavy-tailed-observations-with-bounded-mean-2210.11133</loc><lastmod>2022-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-lower-confidence-sequence-for-the-changing-mean-of-non-negative-right-heavy-tailed-observations-with-bounded-mean-2210.11133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-lower-confidence-sequence-for-the-changing-mean-of-non-negative-right-heavy-tailed-observations-with-bounded-mean-2210.11133"/></url>
<url><loc>https://scifaro.com/en/abs/krylov-bellman-boosting-super-linear-policy-evaluation-in-general-state-spaces-2210.11377</loc><lastmod>2023-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/krylov-bellman-boosting-super-linear-policy-evaluation-in-general-state-spaces-2210.11377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/krylov-bellman-boosting-super-linear-policy-evaluation-in-general-state-spaces-2210.11377"/></url>
<url><loc>https://scifaro.com/en/abs/on-representations-of-mean-field-variational-inference-2210.11385</loc><lastmod>2022-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-representations-of-mean-field-variational-inference-2210.11385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-representations-of-mean-field-variational-inference-2210.11385"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-analysis-of-deep-neural-networks-for-temporally-dependent-observations-2210.11530</loc><lastmod>2022-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-analysis-of-deep-neural-networks-for-temporally-dependent-observations-2210.11530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-analysis-of-deep-neural-networks-for-temporally-dependent-observations-2210.11530"/></url>
<url><loc>https://scifaro.com/en/abs/an-improved-algorithm-for-clustered-federated-learning-2210.11538</loc><lastmod>2022-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improved-algorithm-for-clustered-federated-learning-2210.11538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improved-algorithm-for-clustered-federated-learning-2210.11538"/></url>
<url><loc>https://scifaro.com/en/abs/local-sgd-in-overparameterized-linear-regression-2210.11562</loc><lastmod>2022-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-sgd-in-overparameterized-linear-regression-2210.11562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-sgd-in-overparameterized-linear-regression-2210.11562"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-deep-learning-framework-for-uncertainty-quantification-in-high-dimensions-2210.11737</loc><lastmod>2022-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-deep-learning-framework-for-uncertainty-quantification-in-high-dimensions-2210.11737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-deep-learning-framework-for-uncertainty-quantification-in-high-dimensions-2210.11737"/></url>
<url><loc>https://scifaro.com/en/abs/correlating-sparse-sensing-for-large-scale-traffic-speed-estimation-a-laplacian-enhanced-low-rank-tensor-kriging-approach-2210.11780</loc><lastmod>2023-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlating-sparse-sensing-for-large-scale-traffic-speed-estimation-a-laplacian-enhanced-low-rank-tensor-kriging-approach-2210.11780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlating-sparse-sensing-for-large-scale-traffic-speed-estimation-a-laplacian-enhanced-low-rank-tensor-kriging-approach-2210.11780"/></url>
<url><loc>https://scifaro.com/en/abs/cox-hawkes-doubly-stochastic-spatiotemporal-poisson-processes-2210.11844</loc><lastmod>2022-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cox-hawkes-doubly-stochastic-spatiotemporal-poisson-processes-2210.11844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cox-hawkes-doubly-stochastic-spatiotemporal-poisson-processes-2210.11844"/></url>
<url><loc>https://scifaro.com/en/abs/learning-in-rkhm-a-c-algebraic-twist-for-kernel-machines-2210.11855</loc><lastmod>2024-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-in-rkhm-a-c-algebraic-twist-for-kernel-machines-2210.11855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-in-rkhm-a-c-algebraic-twist-for-kernel-machines-2210.11855"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-constrained-sampling-with-self-concordant-barrier-hamiltonian-monte-carlo-2210.11925</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-constrained-sampling-with-self-concordant-barrier-hamiltonian-monte-carlo-2210.11925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-constrained-sampling-with-self-concordant-barrier-hamiltonian-monte-carlo-2210.11925"/></url>
<url><loc>https://scifaro.com/en/abs/learning-graphical-factor-models-with-riemannian-optimization-2210.11950</loc><lastmod>2023-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-graphical-factor-models-with-riemannian-optimization-2210.11950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-graphical-factor-models-with-riemannian-optimization-2210.11950"/></url>
<url><loc>https://scifaro.com/en/abs/a-non-asymptotic-moreau-envelope-theory-for-high-dimensional-generalized-linear-models-2210.12082</loc><lastmod>2022-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-non-asymptotic-moreau-envelope-theory-for-high-dimensional-generalized-linear-models-2210.12082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-non-asymptotic-moreau-envelope-theory-for-high-dimensional-generalized-linear-models-2210.12082"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-gradient-descent-and-quasi-newton-s-method-for-change-point-analysis-2210.12235</loc><lastmod>2022-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-gradient-descent-and-quasi-newton-s-method-for-change-point-analysis-2210.12235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-gradient-descent-and-quasi-newton-s-method-for-change-point-analysis-2210.12235"/></url>
<url><loc>https://scifaro.com/en/abs/uncertain-evidence-in-probabilistic-models-and-stochastic-simulators-2210.12236</loc><lastmod>2023-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertain-evidence-in-probabilistic-models-and-stochastic-simulators-2210.12236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertain-evidence-in-probabilistic-models-and-stochastic-simulators-2210.12236"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-offline-reinforcement-learning-via-supervised-learning-2210.12272</loc><lastmod>2022-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-offline-reinforcement-learning-via-supervised-learning-2210.12272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-offline-reinforcement-learning-via-supervised-learning-2210.12272"/></url>
<url><loc>https://scifaro.com/en/abs/the-stochastic-proximal-distance-algorithm-2210.12277</loc><lastmod>2024-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-stochastic-proximal-distance-algorithm-2210.12277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-stochastic-proximal-distance-algorithm-2210.12277"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-data-fusion-for-multi-task-non-smooth-optimization-2210.12334</loc><lastmod>2022-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-data-fusion-for-multi-task-non-smooth-optimization-2210.12334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-data-fusion-for-multi-task-non-smooth-optimization-2210.12334"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-convolutional-deep-sets-with-task-dependent-stationary-prior-2210.12363</loc><lastmod>2022-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-convolutional-deep-sets-with-task-dependent-stationary-prior-2210.12363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-convolutional-deep-sets-with-task-dependent-stationary-prior-2210.12363"/></url>
<url><loc>https://scifaro.com/en/abs/falsehoods-that-ml-researchers-believe-about-ood-detection-2210.12767</loc><lastmod>2022-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/falsehoods-that-ml-researchers-believe-about-ood-detection-2210.12767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/falsehoods-that-ml-researchers-believe-about-ood-detection-2210.12767"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-alignment-with-label-information-2210.12774</loc><lastmod>2022-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-alignment-with-label-information-2210.12774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-alignment-with-label-information-2210.12774"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-mirror-descent-for-large-scale-sparse-recovery-2210.12882</loc><lastmod>2022-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-mirror-descent-for-large-scale-sparse-recovery-2210.12882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-mirror-descent-for-large-scale-sparse-recovery-2210.12882"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayesian-offline-contextual-bandits-with-guarantees-2210.13132</loc><lastmod>2023-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayesian-offline-contextual-bandits-with-guarantees-2210.13132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayesian-offline-contextual-bandits-with-guarantees-2210.13132"/></url>
<url><loc>https://scifaro.com/en/abs/post-selection-confidence-bounds-for-prediction-performance-2210.13206</loc><lastmod>2023-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/post-selection-confidence-bounds-for-prediction-performance-2210.13206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/post-selection-confidence-bounds-for-prediction-performance-2210.13206"/></url>
<url><loc>https://scifaro.com/en/abs/deep-kronecker-network-2210.13327</loc><lastmod>2025-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-kronecker-network-2210.13327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-kronecker-network-2210.13327"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-guarantees-for-domain-adaptation-with-hierarchical-optimal-transport-2210.13331</loc><lastmod>2022-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-guarantees-for-domain-adaptation-with-hierarchical-optimal-transport-2210.13331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-guarantees-for-domain-adaptation-with-hierarchical-optimal-transport-2210.13331"/></url>
<url><loc>https://scifaro.com/en/abs/calibration-tests-beyond-classification-2210.13355</loc><lastmod>2022-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibration-tests-beyond-classification-2210.13355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibration-tests-beyond-classification-2210.13355"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-failure-of-variational-score-matching-for-vae-models-2210.13390</loc><lastmod>2022-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-failure-of-variational-score-matching-for-vae-models-2210.13390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-failure-of-variational-score-matching-for-vae-models-2210.13390"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-with-mollified-interaction-energy-descent-2210.13400</loc><lastmod>2023-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-with-mollified-interaction-energy-descent-2210.13400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-with-mollified-interaction-energy-descent-2210.13400"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-machine-learning-and-sciences-opportunities-and-challenges-2210.13441</loc><lastmod>2023-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-machine-learning-and-sciences-opportunities-and-challenges-2210.13441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-machine-learning-and-sciences-opportunities-and-challenges-2210.13441"/></url>
<url><loc>https://scifaro.com/en/abs/conditionally-risk-averse-contextual-bandits-2210.13573</loc><lastmod>2023-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditionally-risk-averse-contextual-bandits-2210.13573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditionally-risk-averse-contextual-bandits-2210.13573"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-decision-making-on-unmatched-data-using-bayesian-kernel-embeddings-2210.13692</loc><lastmod>2022-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-decision-making-on-unmatched-data-using-bayesian-kernel-embeddings-2210.13692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-decision-making-on-unmatched-data-using-bayesian-kernel-embeddings-2210.13692"/></url>
<url><loc>https://scifaro.com/en/abs/a-spectral-method-for-assessing-and-combining-multiple-data-visualizations-2210.13711</loc><lastmod>2022-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-spectral-method-for-assessing-and-combining-multiple-data-visualizations-2210.13711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-spectral-method-for-assessing-and-combining-multiple-data-visualizations-2210.13711"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-estimating-the-bayes-rule-for-gaussian-mixture-models-with-a-specified-missing-data-mechanism-2210.13785</loc><lastmod>2024-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-estimating-the-bayes-rule-for-gaussian-mixture-models-with-a-specified-missing-data-mechanism-2210.13785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-estimating-the-bayes-rule-for-gaussian-mixture-models-with-a-specified-missing-data-mechanism-2210.13785"/></url>
<url><loc>https://scifaro.com/en/abs/online-model-error-correction-with-neural-networks-in-the-incremental-4d-var-framework-2210.13817</loc><lastmod>2022-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-model-error-correction-with-neural-networks-in-the-incremental-4d-var-framework-2210.13817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-model-error-correction-with-neural-networks-in-the-incremental-4d-var-framework-2210.13817"/></url>
<url><loc>https://scifaro.com/en/abs/learning-ability-of-interpolating-deep-convolutional-neural-networks-2210.14184</loc><lastmod>2023-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-ability-of-interpolating-deep-convolutional-neural-networks-2210.14184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-ability-of-interpolating-deep-convolutional-neural-networks-2210.14184"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-archetypal-analysis-2210.14298</loc><lastmod>2022-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-archetypal-analysis-2210.14298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-archetypal-analysis-2210.14298"/></url>
<url><loc>https://scifaro.com/en/abs/interpolating-discriminant-functions-in-high-dimensional-gaussian-latent-mixtures-2210.14347</loc><lastmod>2023-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpolating-discriminant-functions-in-high-dimensional-gaussian-latent-mixtures-2210.14347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpolating-discriminant-functions-in-high-dimensional-gaussian-latent-mixtures-2210.14347"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-free-regret-in-high-probability-with-heavy-tails-2210.14355</loc><lastmod>2023-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-free-regret-in-high-probability-with-heavy-tails-2210.14355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-free-regret-in-high-probability-with-heavy-tails-2210.14355"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-pessimism-in-dynamic-treatment-regimes-a-bayesian-learning-approach-2210.14420</loc><lastmod>2023-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-pessimism-in-dynamic-treatment-regimes-a-bayesian-learning-approach-2210.14420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-pessimism-in-dynamic-treatment-regimes-a-bayesian-learning-approach-2210.14420"/></url>
<url><loc>https://scifaro.com/en/abs/imputation-of-missing-values-in-multi-view-data-2210.14484</loc><lastmod>2024-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imputation-of-missing-values-in-multi-view-data-2210.14484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imputation-of-missing-values-in-multi-view-data-2210.14484"/></url>
<url><loc>https://scifaro.com/en/abs/history-based-bayesian-closure-for-stochastic-parameterization-application-to-lorenz-96-2210.14488</loc><lastmod>2022-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/history-based-bayesian-closure-for-stochastic-parameterization-application-to-lorenz-96-2210.14488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/history-based-bayesian-closure-for-stochastic-parameterization-application-to-lorenz-96-2210.14488"/></url>
<url><loc>https://scifaro.com/en/abs/learning-causal-graphs-in-manufacturing-domains-using-structural-equation-models-2210.14573</loc><lastmod>2022-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-causal-graphs-in-manufacturing-domains-using-structural-equation-models-2210.14573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-causal-graphs-in-manufacturing-domains-using-structural-equation-models-2210.14573"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-gaussian-variational-bayes-on-the-precision-matrix-2210.14598</loc><lastmod>2024-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-gaussian-variational-bayes-on-the-precision-matrix-2210.14598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-gaussian-variational-bayes-on-the-precision-matrix-2210.14598"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-free-finite-sample-guarantees-and-split-conformal-prediction-2210.14735</loc><lastmod>2022-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-free-finite-sample-guarantees-and-split-conformal-prediction-2210.14735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-free-finite-sample-guarantees-and-split-conformal-prediction-2210.14735"/></url>
<url><loc>https://scifaro.com/en/abs/tuneup-a-simple-improved-training-strategy-for-graph-neural-networks-2210.14843</loc><lastmod>2023-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tuneup-a-simple-improved-training-strategy-for-graph-neural-networks-2210.14843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tuneup-a-simple-improved-training-strategy-for-graph-neural-networks-2210.14843"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-is-provably-robust-to-symmetric-label-noise-2210.15083</loc><lastmod>2022-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-is-provably-robust-to-symmetric-label-noise-2210.15083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-is-provably-robust-to-symmetric-label-noise-2210.15083"/></url>
<url><loc>https://scifaro.com/en/abs/implications-of-sparsity-and-high-triangle-density-for-graph-representation-learning-2210.15277</loc><lastmod>2023-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implications-of-sparsity-and-high-triangle-density-for-graph-representation-learning-2210.15277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implications-of-sparsity-and-high-triangle-density-for-graph-representation-learning-2210.15277"/></url>
<url><loc>https://scifaro.com/en/abs/sample-specific-root-causal-inference-with-latent-variables-2210.15340</loc><lastmod>2022-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-specific-root-causal-inference-with-latent-variables-2210.15340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-specific-root-causal-inference-with-latent-variables-2210.15340"/></url>
<url><loc>https://scifaro.com/en/abs/popart-efficient-sparse-regression-and-experimental-design-for-optimal-sparse-linear-bandits-2210.15345</loc><lastmod>2023-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/popart-efficient-sparse-regression-and-experimental-design-for-optimal-sparse-linear-bandits-2210.15345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/popart-efficient-sparse-regression-and-experimental-design-for-optimal-sparse-linear-bandits-2210.15345"/></url>
<url><loc>https://scifaro.com/en/abs/learning-versus-refutation-in-noninteractive-local-differential-privacy-2210.15439</loc><lastmod>2022-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-versus-refutation-in-noninteractive-local-differential-privacy-2210.15439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-versus-refutation-in-noninteractive-local-differential-privacy-2210.15439"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-estimation-of-graphical-models-under-total-positivity-2210.15471</loc><lastmod>2023-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-estimation-of-graphical-models-under-total-positivity-2210.15471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-estimation-of-graphical-models-under-total-positivity-2210.15471"/></url>
<url><loc>https://scifaro.com/en/abs/lifelong-bandit-optimization-no-prior-and-no-regret-2210.15513</loc><lastmod>2023-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifelong-bandit-optimization-no-prior-and-no-regret-2210.15513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifelong-bandit-optimization-no-prior-and-no-regret-2210.15513"/></url>
<url><loc>https://scifaro.com/en/abs/a-primal-dual-approach-to-solving-variational-inequalities-with-general-constraints-2210.15659</loc><lastmod>2024-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-primal-dual-approach-to-solving-variational-inequalities-with-general-constraints-2210.15659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-primal-dual-approach-to-solving-variational-inequalities-with-general-constraints-2210.15659"/></url>
<url><loc>https://scifaro.com/en/abs/improvement-focused-causal-recourse-icr-2210.15709</loc><lastmod>2025-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improvement-focused-causal-recourse-icr-2210.15709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improvement-focused-causal-recourse-icr-2210.15709"/></url>
<url><loc>https://scifaro.com/en/abs/poisson-reweighted-laplacian-uncertainty-sampling-for-graph-based-active-learning-2210.15786</loc><lastmod>2022-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poisson-reweighted-laplacian-uncertainty-sampling-for-graph-based-active-learning-2210.15786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poisson-reweighted-laplacian-uncertainty-sampling-for-graph-based-active-learning-2210.15786"/></url>
<url><loc>https://scifaro.com/en/abs/dpvim-differentially-private-variational-inference-improved-2210.15961</loc><lastmod>2022-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dpvim-differentially-private-variational-inference-improved-2210.15961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dpvim-differentially-private-variational-inference-improved-2210.15961"/></url>
<url><loc>https://scifaro.com/en/abs/preferential-subsampling-for-stochastic-gradient-langevin-dynamics-2210.16189</loc><lastmod>2023-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preferential-subsampling-for-stochastic-gradient-langevin-dynamics-2210.16189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preferential-subsampling-for-stochastic-gradient-langevin-dynamics-2210.16189"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneous-off-the-grid-learning-of-mixtures-issued-from-a-continuous-dictionary-2210.16311</loc><lastmod>2024-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneous-off-the-grid-learning-of-mixtures-issued-from-a-continuous-dictionary-2210.16311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneous-off-the-grid-learning-of-mixtures-issued-from-a-continuous-dictionary-2210.16311"/></url>
<url><loc>https://scifaro.com/en/abs/reformulating-van-rijsbergen-s-f-beta-metric-for-weighted-binary-cross-entropy-2210.16458</loc><lastmod>2025-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reformulating-van-rijsbergen-s-f-beta-metric-for-weighted-binary-cross-entropy-2210.16458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reformulating-van-rijsbergen-s-f-beta-metric-for-weighted-binary-cross-entropy-2210.16458"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-representation-learning-for-conditional-moment-models-2210.16525</loc><lastmod>2022-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-representation-learning-for-conditional-moment-models-2210.16525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-representation-learning-for-conditional-moment-models-2210.16525"/></url>
<url><loc>https://scifaro.com/en/abs/ice-core-dating-using-probabilistic-programming-2210.16568</loc><lastmod>2022-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ice-core-dating-using-probabilistic-programming-2210.16568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ice-core-dating-using-probabilistic-programming-2210.16568"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-causal-discovery-via-kernel-anchor-regression-2210.16775</loc><lastmod>2022-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-causal-discovery-via-kernel-anchor-regression-2210.16775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-causal-discovery-via-kernel-anchor-regression-2210.16775"/></url>
<url><loc>https://scifaro.com/en/abs/variance-reduced-shapley-value-estimation-for-trustworthy-data-valuation-2210.16835</loc><lastmod>2023-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-reduced-shapley-value-estimation-for-trustworthy-data-valuation-2210.16835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-reduced-shapley-value-estimation-for-trustworthy-data-valuation-2210.16835"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-robust-domain-adaptation-2210.16894</loc><lastmod>2022-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-robust-domain-adaptation-2210.16894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-robust-domain-adaptation-2210.16894"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-defer-to-multiple-experts-consistent-surrogate-losses-confidence-calibration-and-conformal-ensembles-2210.16955</loc><lastmod>2023-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-defer-to-multiple-experts-consistent-surrogate-losses-confidence-calibration-and-conformal-ensembles-2210.16955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-defer-to-multiple-experts-consistent-surrogate-losses-confidence-calibration-and-conformal-ensembles-2210.16955"/></url>
<url><loc>https://scifaro.com/en/abs/probability-dependent-gradient-decay-in-large-margin-softmax-2210.17145</loc><lastmod>2023-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probability-dependent-gradient-decay-in-large-margin-softmax-2210.17145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probability-dependent-gradient-decay-in-large-margin-softmax-2210.17145"/></url>
<url><loc>https://scifaro.com/en/abs/lipschitz-regularized-gradient-flows-and-generative-particle-algorithms-for-high-dimensional-scarce-data-2210.17230</loc><lastmod>2024-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lipschitz-regularized-gradient-flows-and-generative-particle-algorithms-for-high-dimensional-scarce-data-2210.17230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lipschitz-regularized-gradient-flows-and-generative-particle-algorithms-for-high-dimensional-scarce-data-2210.17230"/></url>
<url><loc>https://scifaro.com/en/abs/exact-and-approximate-conformal-inference-for-multi-output-regression-2210.17405</loc><lastmod>2024-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-and-approximate-conformal-inference-for-multi-output-regression-2210.17405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-and-approximate-conformal-inference-for-multi-output-regression-2210.17405"/></url>
<url><loc>https://scifaro.com/en/abs/federated-averaging-langevin-dynamics-toward-a-unified-theory-and-new-algorithms-2211.00100</loc><lastmod>2022-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-averaging-langevin-dynamics-toward-a-unified-theory-and-new-algorithms-2211.00100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-averaging-langevin-dynamics-toward-a-unified-theory-and-new-algorithms-2211.00100"/></url>
<url><loc>https://scifaro.com/en/abs/simple-rc-group-network-inference-with-non-sharp-nulls-and-weak-signals-2211.00128</loc><lastmod>2022-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-rc-group-network-inference-with-non-sharp-nulls-and-weak-signals-2211.00128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-rc-group-network-inference-with-non-sharp-nulls-and-weak-signals-2211.00128"/></url>
<url><loc>https://scifaro.com/en/abs/robust-direct-learning-for-causal-data-fusion-2211.00249</loc><lastmod>2022-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-direct-learning-for-causal-data-fusion-2211.00249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-direct-learning-for-causal-data-fusion-2211.00249"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-neural-networks-and-universal-approximation-of-bayesian-filters-2211.00335</loc><lastmod>2023-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-neural-networks-and-universal-approximation-of-bayesian-filters-2211.00335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-neural-networks-and-universal-approximation-of-bayesian-filters-2211.00335"/></url>
<url><loc>https://scifaro.com/en/abs/augmentation-invariant-manifold-learning-2211.00460</loc><lastmod>2025-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmentation-invariant-manifold-learning-2211.00460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmentation-invariant-manifold-learning-2211.00460"/></url>
<url><loc>https://scifaro.com/en/abs/conservative-likelihood-ratio-estimator-for-infrequent-data-slightly-above-a-frequency-threshold-2211.00545</loc><lastmod>2022-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conservative-likelihood-ratio-estimator-for-infrequent-data-slightly-above-a-frequency-threshold-2211.00545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conservative-likelihood-ratio-estimator-for-infrequent-data-slightly-above-a-frequency-threshold-2211.00545"/></url>
<url><loc>https://scifaro.com/en/abs/on-medians-of-randomized-pairwise-means-2211.00603</loc><lastmod>2022-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-medians-of-randomized-pairwise-means-2211.00603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-medians-of-randomized-pairwise-means-2211.00603"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-induces-robustness-information-computation-gaps-and-sparse-mean-estimation-2211.00724</loc><lastmod>2022-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-induces-robustness-information-computation-gaps-and-sparse-mean-estimation-2211.00724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-induces-robustness-information-computation-gaps-and-sparse-mean-estimation-2211.00724"/></url>
<url><loc>https://scifaro.com/en/abs/linear-embedding-based-high-dimensional-batch-bayesian-optimization-without-reconstruction-mappings-2211.00947</loc><lastmod>2022-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-embedding-based-high-dimensional-batch-bayesian-optimization-without-reconstruction-mappings-2211.00947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-embedding-based-high-dimensional-batch-bayesian-optimization-without-reconstruction-mappings-2211.00947"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-sequential-design-of-computer-experiments-for-quantile-set-inversion-2211.01008</loc><lastmod>2024-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-sequential-design-of-computer-experiments-for-quantile-set-inversion-2211.01008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-sequential-design-of-computer-experiments-for-quantile-set-inversion-2211.01008"/></url>
<url><loc>https://scifaro.com/en/abs/instance-dependent-generalization-bounds-via-optimal-transport-2211.01258</loc><lastmod>2023-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instance-dependent-generalization-bounds-via-optimal-transport-2211.01258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instance-dependent-generalization-bounds-via-optimal-transport-2211.01258"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-counterfactual-mean-embeddings-and-off-policy-evaluation-2211.01518</loc><lastmod>2022-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-counterfactual-mean-embeddings-and-off-policy-evaluation-2211.01518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-counterfactual-mean-embeddings-and-off-policy-evaluation-2211.01518"/></url>
<url><loc>https://scifaro.com/en/abs/benefits-of-monotonicity-in-safe-exploration-with-gaussian-processes-2211.01561</loc><lastmod>2023-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benefits-of-monotonicity-in-safe-exploration-with-gaussian-processes-2211.01561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benefits-of-monotonicity-in-safe-exploration-with-gaussian-processes-2211.01561"/></url>
<url><loc>https://scifaro.com/en/abs/towards-federated-multivariate-statistical-process-control-fedmspc-2211.01645</loc><lastmod>2022-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-federated-multivariate-statistical-process-control-fedmspc-2211.01645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-federated-multivariate-statistical-process-control-fedmspc-2211.01645"/></url>
<url><loc>https://scifaro.com/en/abs/isotropic-gaussian-processes-on-finite-spaces-of-graphs-2211.01689</loc><lastmod>2023-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/isotropic-gaussian-processes-on-finite-spaces-of-graphs-2211.01689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/isotropic-gaussian-processes-on-finite-spaces-of-graphs-2211.01689"/></url>
<url><loc>https://scifaro.com/en/abs/jump-diffusion-langevin-dynamics-for-multimodal-posterior-sampling-2211.01774</loc><lastmod>2022-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jump-diffusion-langevin-dynamics-for-multimodal-posterior-sampling-2211.01774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jump-diffusion-langevin-dynamics-for-multimodal-posterior-sampling-2211.01774"/></url>
<url><loc>https://scifaro.com/en/abs/phase-transitions-in-learning-and-earning-under-price-protection-guarantee-2211.01798</loc><lastmod>2022-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phase-transitions-in-learning-and-earning-under-price-protection-guarantee-2211.01798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phase-transitions-in-learning-and-earning-under-price-protection-guarantee-2211.01798"/></url>
<url><loc>https://scifaro.com/en/abs/convex-clustering-through-mm-an-efficient-algorithm-to-perform-hierarchical-clustering-2211.01877</loc><lastmod>2023-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-clustering-through-mm-an-efficient-algorithm-to-perform-hierarchical-clustering-2211.01877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-clustering-through-mm-an-efficient-algorithm-to-perform-hierarchical-clustering-2211.01877"/></url>
<url><loc>https://scifaro.com/en/abs/a-consistent-estimator-for-confounding-strength-2211.01903</loc><lastmod>2022-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-consistent-estimator-for-confounding-strength-2211.01903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-consistent-estimator-for-confounding-strength-2211.01903"/></url>
<url><loc>https://scifaro.com/en/abs/fully-bayesian-inference-for-latent-variable-gaussian-process-models-2211.02218</loc><lastmod>2023-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-bayesian-inference-for-latent-variable-gaussian-process-models-2211.02218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-bayesian-inference-for-latent-variable-gaussian-process-models-2211.02218"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-coreset-variational-inference-2211.02377</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-coreset-variational-inference-2211.02377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-coreset-variational-inference-2211.02377"/></url>
<url><loc>https://scifaro.com/en/abs/the-path-to-autonomous-learners-2211.02403</loc><lastmod>2023-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-path-to-autonomous-learners-2211.02403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-path-to-autonomous-learners-2211.02403"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-gaussian-process-hyperparameters-optimize-or-integrate-2211.02476</loc><lastmod>2022-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-gaussian-process-hyperparameters-optimize-or-integrate-2211.02476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-gaussian-process-hyperparameters-optimize-or-integrate-2211.02476"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-predictive-performances-of-k-nearest-neighbors-learning-by-efficient-variable-selection-2211.02600</loc><lastmod>2022-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-predictive-performances-of-k-nearest-neighbors-learning-by-efficient-variable-selection-2211.02600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-predictive-performances-of-k-nearest-neighbors-learning-by-efficient-variable-selection-2211.02600"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-aware-predictive-modeling-for-fair-data-driven-decisions-2211.02730</loc><lastmod>2022-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-aware-predictive-modeling-for-fair-data-driven-decisions-2211.02730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-aware-predictive-modeling-for-fair-data-driven-decisions-2211.02730"/></url>
<url><loc>https://scifaro.com/en/abs/multi-fidelity-cost-aware-bayesian-optimization-2211.02732</loc><lastmod>2023-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-fidelity-cost-aware-bayesian-optimization-2211.02732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-fidelity-cost-aware-bayesian-optimization-2211.02732"/></url>
<url><loc>https://scifaro.com/en/abs/new-definitions-and-evaluations-for-saliency-methods-staying-intrinsic-complete-and-sound-2211.02912</loc><lastmod>2022-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-definitions-and-evaluations-for-saliency-methods-staying-intrinsic-complete-and-sound-2211.02912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-definitions-and-evaluations-for-saliency-methods-staying-intrinsic-complete-and-sound-2211.02912"/></url>
<url><loc>https://scifaro.com/en/abs/gmgm-a-fast-multi-axis-gaussian-graphical-model-2211.02920</loc><lastmod>2024-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gmgm-a-fast-multi-axis-gaussian-graphical-model-2211.02920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gmgm-a-fast-multi-axis-gaussian-graphical-model-2211.02920"/></url>
<url><loc>https://scifaro.com/en/abs/odbae-a-high-performance-model-identifying-complex-phenotypes-in-high-dimensional-biological-datasets-2211.03054</loc><lastmod>2024-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/odbae-a-high-performance-model-identifying-complex-phenotypes-in-high-dimensional-biological-datasets-2211.03054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/odbae-a-high-performance-model-identifying-complex-phenotypes-in-high-dimensional-biological-datasets-2211.03054"/></url>
<url><loc>https://scifaro.com/en/abs/applying-association-rules-mining-to-investigate-pedestrian-fatal-and-injury-crash-patterns-under-different-lighting-conditions-2211.03187</loc><lastmod>2022-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applying-association-rules-mining-to-investigate-pedestrian-fatal-and-injury-crash-patterns-under-different-lighting-conditions-2211.03187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applying-association-rules-mining-to-investigate-pedestrian-fatal-and-injury-crash-patterns-under-different-lighting-conditions-2211.03187"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-horseshoe-estimation-via-expectation-maximisation-2211.03248</loc><lastmod>2022-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-horseshoe-estimation-via-expectation-maximisation-2211.03248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-horseshoe-estimation-via-expectation-maximisation-2211.03248"/></url>
<url><loc>https://scifaro.com/en/abs/from-denoising-diffusions-to-denoising-markov-models-2211.03595</loc><lastmod>2024-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-denoising-diffusions-to-denoising-markov-models-2211.03595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-denoising-diffusions-to-denoising-markov-models-2211.03595"/></url>
<url><loc>https://scifaro.com/en/abs/askewsgd-an-annealed-interval-constrained-optimisation-method-to-train-quantized-neural-networks-2211.03741</loc><lastmod>2022-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/askewsgd-an-annealed-interval-constrained-optimisation-method-to-train-quantized-neural-networks-2211.03741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/askewsgd-an-annealed-interval-constrained-optimisation-method-to-train-quantized-neural-networks-2211.03741"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-change-point-detection-in-time-series-via-deep-learning-2211.03860</loc><lastmod>2024-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-change-point-detection-in-time-series-via-deep-learning-2211.03860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-change-point-detection-in-time-series-via-deep-learning-2211.03860"/></url>
<url><loc>https://scifaro.com/en/abs/policy-evaluation-from-a-single-path-multi-step-methods-mixing-and-mis-specification-2211.03899</loc><lastmod>2022-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-evaluation-from-a-single-path-multi-step-methods-mixing-and-mis-specification-2211.03899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-evaluation-from-a-single-path-multi-step-methods-mixing-and-mis-specification-2211.03899"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-inhomogeneous-reinforcement-learning-2211.03983</loc><lastmod>2025-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-inhomogeneous-reinforcement-learning-2211.03983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-inhomogeneous-reinforcement-learning-2211.03983"/></url>
<url><loc>https://scifaro.com/en/abs/individualized-and-global-feature-attributions-for-gradient-boosted-trees-in-the-presence-of-ell-2-regularization-2211.04409</loc><lastmod>2022-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/individualized-and-global-feature-attributions-for-gradient-boosted-trees-in-the-presence-of-ell-2-regularization-2211.04409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/individualized-and-global-feature-attributions-for-gradient-boosted-trees-in-the-presence-of-ell-2-regularization-2211.04409"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-lie-group-preconditioners-for-sgd-2211.04422</loc><lastmod>2022-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-lie-group-preconditioners-for-sgd-2211.04422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-lie-group-preconditioners-for-sgd-2211.04422"/></url>
<url><loc>https://scifaro.com/en/abs/a-characterization-of-list-learnability-2211.04956</loc><lastmod>2023-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-characterization-of-list-learnability-2211.04956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-characterization-of-list-learnability-2211.04956"/></url>
<url><loc>https://scifaro.com/en/abs/graph-representation-learning-for-street-networks-2211.04984</loc><lastmod>2022-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-representation-learning-for-street-networks-2211.04984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-representation-learning-for-street-networks-2211.04984"/></url>
<url><loc>https://scifaro.com/en/abs/controlling-moments-with-kernel-stein-discrepancies-2211.05408</loc><lastmod>2025-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlling-moments-with-kernel-stein-discrepancies-2211.05408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlling-moments-with-kernel-stein-discrepancies-2211.05408"/></url>
<url><loc>https://scifaro.com/en/abs/regret-bounds-for-noise-free-cascaded-kernelized-bandits-2211.05430</loc><lastmod>2024-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-bounds-for-noise-free-cascaded-kernelized-bandits-2211.05430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-bounds-for-noise-free-cascaded-kernelized-bandits-2211.05430"/></url>
<url><loc>https://scifaro.com/en/abs/contexts-can-be-cheap-solving-stochastic-contextual-bandits-with-linear-bandit-algorithms-2211.05632</loc><lastmod>2023-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contexts-can-be-cheap-solving-stochastic-contextual-bandits-with-linear-bandit-algorithms-2211.05632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contexts-can-be-cheap-solving-stochastic-contextual-bandits-with-linear-bandit-algorithms-2211.05632"/></url>
<url><loc>https://scifaro.com/en/abs/robust-model-selection-of-gaussian-graphical-models-2211.05690</loc><lastmod>2024-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-model-selection-of-gaussian-graphical-models-2211.05690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-model-selection-of-gaussian-graphical-models-2211.05690"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-thermal-stability-prediction-through-sparsity-promoting-transformer-representation-2211.05698</loc><lastmod>2022-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-thermal-stability-prediction-through-sparsity-promoting-transformer-representation-2211.05698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-thermal-stability-prediction-through-sparsity-promoting-transformer-representation-2211.05698"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-for-high-dimensional-sparse-linear-contextual-bandits-2211.05964</loc><lastmod>2023-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-for-high-dimensional-sparse-linear-contextual-bandits-2211.05964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-for-high-dimensional-sparse-linear-contextual-bandits-2211.05964"/></url>
<url><loc>https://scifaro.com/en/abs/online-linearized-lasso-2211.06039</loc><lastmod>2023-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-linearized-lasso-2211.06039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-linearized-lasso-2211.06039"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-approximation-for-bayesian-inference-in-neural-networks-2211.06139</loc><lastmod>2022-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-approximation-for-bayesian-inference-in-neural-networks-2211.06139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-approximation-for-bayesian-inference-in-neural-networks-2211.06139"/></url>
<url><loc>https://scifaro.com/en/abs/rffnet-large-scale-interpretable-kernel-methods-via-random-fourier-features-2211.06410</loc><lastmod>2024-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rffnet-large-scale-interpretable-kernel-methods-via-random-fourier-features-2211.06410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rffnet-large-scale-interpretable-kernel-methods-via-random-fourier-features-2211.06410"/></url>
<url><loc>https://scifaro.com/en/abs/the-implicit-delta-method-2211.06457</loc><lastmod>2022-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-implicit-delta-method-2211.06457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-implicit-delta-method-2211.06457"/></url>
<url><loc>https://scifaro.com/en/abs/offline-estimation-of-controlled-markov-chains-minimaxity-and-sample-complexity-2211.07092</loc><lastmod>2026-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-estimation-of-controlled-markov-chains-minimaxity-and-sample-complexity-2211.07092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-estimation-of-controlled-markov-chains-minimaxity-and-sample-complexity-2211.07092"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-pac-bayesian-meta-learning-via-the-pac-optimal-hyper-posterior-from-theory-to-practice-2211.07206</loc><lastmod>2023-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-pac-bayesian-meta-learning-via-the-pac-optimal-hyper-posterior-from-theory-to-practice-2211.07206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-pac-bayesian-meta-learning-via-the-pac-optimal-hyper-posterior-from-theory-to-practice-2211.07206"/></url>
<url><loc>https://scifaro.com/en/abs/the-best-path-algorithm-automatic-variables-selection-via-high-dimensional-graphical-models-2211.07267</loc><lastmod>2022-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-best-path-algorithm-automatic-variables-selection-via-high-dimensional-graphical-models-2211.07267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-best-path-algorithm-automatic-variables-selection-via-high-dimensional-graphical-models-2211.07267"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-balancing-weights-via-deep-neural-networks-2211.07533</loc><lastmod>2023-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-balancing-weights-via-deep-neural-networks-2211.07533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-balancing-weights-via-deep-neural-networks-2211.07533"/></url>
<url><loc>https://scifaro.com/en/abs/an-online-algorithm-for-contrastive-principal-component-analysis-2211.07723</loc><lastmod>2022-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-online-algorithm-for-contrastive-principal-component-analysis-2211.07723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-online-algorithm-for-contrastive-principal-component-analysis-2211.07723"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-optimize-with-stochastic-dominance-constraints-2211.07767</loc><lastmod>2023-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-optimize-with-stochastic-dominance-constraints-2211.07767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-optimize-with-stochastic-dominance-constraints-2211.07767"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-stein-variational-gradient-flow-2211.07861</loc><lastmod>2024-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-stein-variational-gradient-flow-2211.07861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-stein-variational-gradient-flow-2211.07861"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-estimation-for-longitudinal-networks-via-adaptive-merging-2211.07866</loc><lastmod>2024-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-estimation-for-longitudinal-networks-via-adaptive-merging-2211.07866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-estimation-for-longitudinal-networks-via-adaptive-merging-2211.07866"/></url>
<url><loc>https://scifaro.com/en/abs/mmd-b-fair-learning-fair-representations-with-statistical-testing-2211.07907</loc><lastmod>2023-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mmd-b-fair-learning-fair-representations-with-statistical-testing-2211.07907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mmd-b-fair-learning-fair-representations-with-statistical-testing-2211.07907"/></url>
<url><loc>https://scifaro.com/en/abs/provably-reliable-large-scale-sampling-from-gaussian-processes-2211.08036</loc><lastmod>2023-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-reliable-large-scale-sampling-from-gaussian-processes-2211.08036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-reliable-large-scale-sampling-from-gaussian-processes-2211.08036"/></url>
<url><loc>https://scifaro.com/en/abs/on-penalization-in-stochastic-multi-armed-bandits-2211.08311</loc><lastmod>2022-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-penalization-in-stochastic-multi-armed-bandits-2211.08311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-penalization-in-stochastic-multi-armed-bandits-2211.08311"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-querying-of-continuous-time-event-sequences-2211.08499</loc><lastmod>2022-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-querying-of-continuous-time-event-sequences-2211.08499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-querying-of-continuous-time-event-sequences-2211.08499"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-and-uncertainty-quantification-of-safari-1-axial-neutron-flux-profiles-with-neural-networks-2211.08654</loc><lastmod>2023-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-and-uncertainty-quantification-of-safari-1-axial-neutron-flux-profiles-with-neural-networks-2211.08654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-and-uncertainty-quantification-of-safari-1-axial-neutron-flux-profiles-with-neural-networks-2211.08654"/></url>
<url><loc>https://scifaro.com/en/abs/unbalanced-optimal-transport-from-theory-to-numerics-2211.08775</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbalanced-optimal-transport-from-theory-to-numerics-2211.08775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbalanced-optimal-transport-from-theory-to-numerics-2211.08775"/></url>
<url><loc>https://scifaro.com/en/abs/challenges-in-creative-generative-models-for-music-a-divergence-maximization-perspective-2211.08856</loc><lastmod>2022-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/challenges-in-creative-generative-models-for-music-a-divergence-maximization-perspective-2211.08856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/challenges-in-creative-generative-models-for-music-a-divergence-maximization-perspective-2211.08856"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-the-causes-of-pyrocumulonimbus-pyrocb-2211.08883</loc><lastmod>2022-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-the-causes-of-pyrocumulonimbus-pyrocb-2211.08883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-the-causes-of-pyrocumulonimbus-pyrocb-2211.08883"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-explanation-methods-for-traditional-machine-learning-models-part-1-an-overview-of-current-methods-and-quantifying-their-disagreement-2211.08943</loc><lastmod>2022-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-explanation-methods-for-traditional-machine-learning-models-part-1-an-overview-of-current-methods-and-quantifying-their-disagreement-2211.08943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-explanation-methods-for-traditional-machine-learning-models-part-1-an-overview-of-current-methods-and-quantifying-their-disagreement-2211.08943"/></url>
<url><loc>https://scifaro.com/en/abs/vector-valued-least-squares-regression-under-output-regularity-assumptions-2211.08958</loc><lastmod>2022-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vector-valued-least-squares-regression-under-output-regularity-assumptions-2211.08958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vector-valued-least-squares-regression-under-output-regularity-assumptions-2211.08958"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-analysis-of-the-advantages-of-finite-v-s-infinite-width-bayesian-neural-networks-2211.09184</loc><lastmod>2022-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-analysis-of-the-advantages-of-finite-v-s-infinite-width-bayesian-neural-networks-2211.09184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-analysis-of-the-advantages-of-finite-v-s-infinite-width-bayesian-neural-networks-2211.09184"/></url>
<url><loc>https://scifaro.com/en/abs/sobolev-spaces-kernels-and-discrepancies-over-hyperspheres-2211.09196</loc><lastmod>2022-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sobolev-spaces-kernels-and-discrepancies-over-hyperspheres-2211.09196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sobolev-spaces-kernels-and-discrepancies-over-hyperspheres-2211.09196"/></url>
<url><loc>https://scifaro.com/en/abs/the-non-overlapping-statistical-approximation-to-overlapping-group-lasso-2211.09221</loc><lastmod>2024-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-non-overlapping-statistical-approximation-to-overlapping-group-lasso-2211.09221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-non-overlapping-statistical-approximation-to-overlapping-group-lasso-2211.09221"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalized-latent-factor-model-approach-to-mixed-data-matrix-completion-with-entrywise-consistency-2211.09272</loc><lastmod>2022-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalized-latent-factor-model-approach-to-mixed-data-matrix-completion-with-entrywise-consistency-2211.09272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalized-latent-factor-model-approach-to-mixed-data-matrix-completion-with-entrywise-consistency-2211.09272"/></url>
<url><loc>https://scifaro.com/en/abs/variable-selection-for-nonlinear-cox-regression-model-via-deep-learning-2211.09287</loc><lastmod>2022-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-selection-for-nonlinear-cox-regression-model-via-deep-learning-2211.09287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-selection-for-nonlinear-cox-regression-model-via-deep-learning-2211.09287"/></url>
<url><loc>https://scifaro.com/en/abs/testing-for-context-dependent-changes-in-neural-encoding-in-naturalistic-experiments-2211.09295</loc><lastmod>2022-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-for-context-dependent-changes-in-neural-encoding-in-naturalistic-experiments-2211.09295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-for-context-dependent-changes-in-neural-encoding-in-naturalistic-experiments-2211.09295"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-for-tensor-gaussian-graphical-models-2211.09391</loc><lastmod>2022-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-for-tensor-gaussian-graphical-models-2211.09391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-for-tensor-gaussian-graphical-models-2211.09391"/></url>
<url><loc>https://scifaro.com/en/abs/learning-mixtures-of-markov-chains-and-mdps-2211.09403</loc><lastmod>2023-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-mixtures-of-markov-chains-and-mdps-2211.09403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-mixtures-of-markov-chains-and-mdps-2211.09403"/></url>
<url><loc>https://scifaro.com/en/abs/parameterization-of-state-duration-in-hidden-semi-markov-models-an-application-in-electrocardiography-2211.09478</loc><lastmod>2022-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameterization-of-state-duration-in-hidden-semi-markov-models-an-application-in-electrocardiography-2211.09478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameterization-of-state-duration-in-hidden-semi-markov-models-an-application-in-electrocardiography-2211.09478"/></url>
<url><loc>https://scifaro.com/en/abs/validation-diagnostics-for-sbi-algorithms-based-on-normalizing-flows-2211.09602</loc><lastmod>2022-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/validation-diagnostics-for-sbi-algorithms-based-on-normalizing-flows-2211.09602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/validation-diagnostics-for-sbi-algorithms-based-on-normalizing-flows-2211.09602"/></url>
<url><loc>https://scifaro.com/en/abs/monitoring-machine-learning-ml-based-risk-prediction-algorithms-in-the-presence-of-confounding-medical-interventions-2211.09781</loc><lastmod>2023-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monitoring-machine-learning-ml-based-risk-prediction-algorithms-in-the-presence-of-confounding-medical-interventions-2211.09781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monitoring-machine-learning-ml-based-risk-prediction-algorithms-in-the-presence-of-confounding-medical-interventions-2211.09781"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-by-query-by-committee-with-robust-divergences-2211.10013</loc><lastmod>2022-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-by-query-by-committee-with-robust-divergences-2211.10013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-by-query-by-committee-with-robust-divergences-2211.10013"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotics-for-the-k-means-2211.10015</loc><lastmod>2022-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotics-for-the-k-means-2211.10015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotics-for-the-k-means-2211.10015"/></url>
<url><loc>https://scifaro.com/en/abs/data-adaptive-discriminative-feature-localization-with-statistically-guaranteed-interpretation-2211.10061</loc><lastmod>2022-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-adaptive-discriminative-feature-localization-with-statistically-guaranteed-interpretation-2211.10061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-adaptive-discriminative-feature-localization-with-statistically-guaranteed-interpretation-2211.10061"/></url>
<url><loc>https://scifaro.com/en/abs/global-quantitative-robustness-of-regression-feed-forward-neural-networks-2211.10124</loc><lastmod>2022-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-quantitative-robustness-of-regression-feed-forward-neural-networks-2211.10124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-quantitative-robustness-of-regression-feed-forward-neural-networks-2211.10124"/></url>
<url><loc>https://scifaro.com/en/abs/always-valid-risk-monitoring-for-online-matrix-completion-2211.10363</loc><lastmod>2022-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/always-valid-risk-monitoring-for-online-matrix-completion-2211.10363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/always-valid-risk-monitoring-for-online-matrix-completion-2211.10363"/></url>
<url><loc>https://scifaro.com/en/abs/environmental-sensor-placement-with-convolutional-gaussian-neural-processes-2211.10381</loc><lastmod>2023-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/environmental-sensor-placement-with-convolutional-gaussian-neural-processes-2211.10381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/environmental-sensor-placement-with-convolutional-gaussian-neural-processes-2211.10381"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-robust-survival-analysis-a-novel-fairness-loss-without-demographics-2211.10508</loc><lastmod>2022-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-robust-survival-analysis-a-novel-fairness-loss-without-demographics-2211.10508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-robust-survival-analysis-a-novel-fairness-loss-without-demographics-2211.10508"/></url>
<url><loc>https://scifaro.com/en/abs/curiosity-in-hindsight-intrinsic-exploration-in-stochastic-environments-2211.10515</loc><lastmod>2023-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curiosity-in-hindsight-intrinsic-exploration-in-stochastic-environments-2211.10515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curiosity-in-hindsight-intrinsic-exploration-in-stochastic-environments-2211.10515"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-validation-metrics-for-offline-model-based-optimisation-with-diffusion-models-2211.10747</loc><lastmod>2024-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-validation-metrics-for-offline-model-based-optimisation-with-diffusion-models-2211.10747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-validation-metrics-for-offline-model-based-optimisation-with-diffusion-models-2211.10747"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-pointwise-behavior-of-recursive-partitioning-and-its-implications-for-heterogeneous-causal-effect-estimation-2211.10805</loc><lastmod>2024-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-pointwise-behavior-of-recursive-partitioning-and-its-implications-for-heterogeneous-causal-effect-estimation-2211.10805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-pointwise-behavior-of-recursive-partitioning-and-its-implications-for-heterogeneous-causal-effect-estimation-2211.10805"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-optimality-of-divide-and-conquer-kernel-based-functional-linear-regression-2211.10968</loc><lastmod>2024-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-optimality-of-divide-and-conquer-kernel-based-functional-linear-regression-2211.10968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-optimality-of-divide-and-conquer-kernel-based-functional-linear-regression-2211.10968"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-decision-making-safeguarded-by-human-knowledge-2211.11028</loc><lastmod>2022-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-decision-making-safeguarded-by-human-knowledge-2211.11028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-decision-making-safeguarded-by-human-knowledge-2211.11028"/></url>
<url><loc>https://scifaro.com/en/abs/the-past-does-matter-correlation-of-subsequent-states-in-trajectory-predictions-of-gaussian-process-models-2211.11103</loc><lastmod>2023-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-past-does-matter-correlation-of-subsequent-states-in-trajectory-predictions-of-gaussian-process-models-2211.11103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-past-does-matter-correlation-of-subsequent-states-in-trajectory-predictions-of-gaussian-process-models-2211.11103"/></url>
<url><loc>https://scifaro.com/en/abs/the-loss-of-the-property-of-locality-of-the-kernel-in-high-dimensional-gaussian-process-regression-on-the-example-of-the-fitting-of-molecular-potential-energy-surfaces-2211.11170</loc><lastmod>2023-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-loss-of-the-property-of-locality-of-the-kernel-in-high-dimensional-gaussian-process-regression-on-the-example-of-the-fitting-of-molecular-potential-energy-surfaces-2211.11170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-loss-of-the-property-of-locality-of-the-kernel-in-high-dimensional-gaussian-process-regression-on-the-example-of-the-fitting-of-molecular-potential-energy-surfaces-2211.11170"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-extended-neighbourhood-rule-k-nearest-neighbours-ensemble-2211.11278</loc><lastmod>2024-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-extended-neighbourhood-rule-k-nearest-neighbours-ensemble-2211.11278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-extended-neighbourhood-rule-k-nearest-neighbours-ensemble-2211.11278"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-trained-with-sgd-learn-distributions-of-increasing-complexity-2211.11567</loc><lastmod>2023-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-trained-with-sgd-learn-distributions-of-increasing-complexity-2211.11567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-trained-with-sgd-learn-distributions-of-increasing-complexity-2211.11567"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-undirected-graphical-models-for-arbitrary-mixed-data-2211.11700</loc><lastmod>2024-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-undirected-graphical-models-for-arbitrary-mixed-data-2211.11700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-undirected-graphical-models-for-arbitrary-mixed-data-2211.11700"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-learning-for-neural-networks-an-algorithmic-survey-2211.11865</loc><lastmod>2023-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-learning-for-neural-networks-an-algorithmic-survey-2211.11865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-learning-for-neural-networks-an-algorithmic-survey-2211.11865"/></url>
<url><loc>https://scifaro.com/en/abs/a-bi-level-nonlinear-eigenvector-algorithm-for-wasserstein-discriminant-analysis-2211.11891</loc><lastmod>2023-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bi-level-nonlinear-eigenvector-algorithm-for-wasserstein-discriminant-analysis-2211.11891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bi-level-nonlinear-eigenvector-algorithm-for-wasserstein-discriminant-analysis-2211.11891"/></url>
<url><loc>https://scifaro.com/en/abs/equality-of-effort-via-algorithmic-recourse-2211.11892</loc><lastmod>2022-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equality-of-effort-via-algorithmic-recourse-2211.11892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equality-of-effort-via-algorithmic-recourse-2211.11892"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-for-contextual-multi-armed-bandits-2211.12612</loc><lastmod>2024-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-for-contextual-multi-armed-bandits-2211.12612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-for-contextual-multi-armed-bandits-2211.12612"/></url>
<url><loc>https://scifaro.com/en/abs/a-generic-approach-for-reproducible-model-distillation-2211.12631</loc><lastmod>2023-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generic-approach-for-reproducible-model-distillation-2211.12631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generic-approach-for-reproducible-model-distillation-2211.12631"/></url>
<url><loc>https://scifaro.com/en/abs/mutual-information-learned-regressor-an-information-theoretic-viewpoint-of-training-regression-systems-2211.12685</loc><lastmod>2022-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mutual-information-learned-regressor-an-information-theoretic-viewpoint-of-training-regression-systems-2211.12685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mutual-information-learned-regressor-an-information-theoretic-viewpoint-of-training-regression-systems-2211.12685"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-bayesian-deep-learning-on-diabetic-retinopathy-detection-tasks-2211.12717</loc><lastmod>2022-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-bayesian-deep-learning-on-diabetic-retinopathy-detection-tasks-2211.12717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-bayesian-deep-learning-on-diabetic-retinopathy-detection-tasks-2211.12717"/></url>
<url><loc>https://scifaro.com/en/abs/causal-analysis-of-the-topcat-trial-spironolactone-for-preserved-cardiac-function-heart-failure-2211.12983</loc><lastmod>2022-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-analysis-of-the-topcat-trial-spironolactone-for-preserved-cardiac-function-heart-failure-2211.12983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-analysis-of-the-topcat-trial-spironolactone-for-preserved-cardiac-function-heart-failure-2211.12983"/></url>
<url><loc>https://scifaro.com/en/abs/physics-informed-neural-networks-for-pathloss-prediction-2211.12986</loc><lastmod>2023-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-neural-networks-for-pathloss-prediction-2211.12986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-neural-networks-for-pathloss-prediction-2211.12986"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-pca-for-multivariate-extremes-2211.13172</loc><lastmod>2022-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-pca-for-multivariate-extremes-2211.13172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-pca-for-multivariate-extremes-2211.13172"/></url>
<url><loc>https://scifaro.com/en/abs/shapley-curves-a-smoothing-perspective-2211.13289</loc><lastmod>2024-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shapley-curves-a-smoothing-perspective-2211.13289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shapley-curves-a-smoothing-perspective-2211.13289"/></url>
<url><loc>https://scifaro.com/en/abs/online-regularized-learning-algorithm-for-functional-data-2211.13549</loc><lastmod>2022-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-regularized-learning-algorithm-for-functional-data-2211.13549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-regularized-learning-algorithm-for-functional-data-2211.13549"/></url>
<url><loc>https://scifaro.com/en/abs/trust-your-nabla-gradient-based-intervention-targeting-for-causal-discovery-2211.13715</loc><lastmod>2024-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trust-your-nabla-gradient-based-intervention-targeting-for-causal-discovery-2211.13715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trust-your-nabla-gradient-based-intervention-targeting-for-causal-discovery-2211.13715"/></url>
<url><loc>https://scifaro.com/en/abs/minimal-width-for-universal-property-of-deep-rnn-2211.13866</loc><lastmod>2023-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimal-width-for-universal-property-of-deep-rnn-2211.13866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimal-width-for-universal-property-of-deep-rnn-2211.13866"/></url>
<url><loc>https://scifaro.com/en/abs/particle-based-variational-inference-with-preconditioned-functional-gradient-flow-2211.13954</loc><lastmod>2023-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-based-variational-inference-with-preconditioned-functional-gradient-flow-2211.13954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-based-variational-inference-with-preconditioned-functional-gradient-flow-2211.13954"/></url>
<url><loc>https://scifaro.com/en/abs/toward-unlimited-self-learning-mcmc-with-parallel-adaptive-annealing-2211.14024</loc><lastmod>2023-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-unlimited-self-learning-mcmc-with-parallel-adaptive-annealing-2211.14024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-unlimited-self-learning-mcmc-with-parallel-adaptive-annealing-2211.14024"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-feasibility-in-over-the-air-federated-learning-2211.14115</loc><lastmod>2024-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-feasibility-in-over-the-air-federated-learning-2211.14115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-feasibility-in-over-the-air-federated-learning-2211.14115"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-error-feedback-in-federated-non-convex-optimization-with-biased-compression-2211.14292</loc><lastmod>2022-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-error-feedback-in-federated-non-convex-optimization-with-biased-compression-2211.14292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-error-feedback-in-federated-non-convex-optimization-with-biased-compression-2211.14292"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-robust-nearest-neighbors-in-factor-models-2211.14297</loc><lastmod>2024-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-robust-nearest-neighbors-in-factor-models-2211.14297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-robust-nearest-neighbors-in-factor-models-2211.14297"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-approximation-rates-for-deep-relu-neural-networks-on-sobolev-and-besov-spaces-2211.14400</loc><lastmod>2024-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-approximation-rates-for-deep-relu-neural-networks-on-sobolev-and-besov-spaces-2211.14400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-approximation-rates-for-deep-relu-neural-networks-on-sobolev-and-besov-spaces-2211.14400"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-free-prediction-sets-for-node-classification-2211.14555</loc><lastmod>2024-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-free-prediction-sets-for-node-classification-2211.14555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-free-prediction-sets-for-node-classification-2211.14555"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-and-inference-for-transfer-learning-with-high-dimensional-quantile-regression-2211.14578</loc><lastmod>2023-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-and-inference-for-transfer-learning-with-high-dimensional-quantile-regression-2211.14578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-and-inference-for-transfer-learning-with-high-dimensional-quantile-regression-2211.14578"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-rate-analysis-for-optimal-computing-budget-allocation-algorithms-2211.14722</loc><lastmod>2022-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-rate-analysis-for-optimal-computing-budget-allocation-algorithms-2211.14722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-rate-analysis-for-optimal-computing-budget-allocation-algorithms-2211.14722"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-optimality-of-myopic-ranking-and-selection-procedures-2211.14723</loc><lastmod>2022-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-optimality-of-myopic-ranking-and-selection-procedures-2211.14723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-optimality-of-myopic-ranking-and-selection-procedures-2211.14723"/></url>
<url><loc>https://scifaro.com/en/abs/fairee-fair-classification-with-finite-sample-and-distribution-free-guarantee-2211.15072</loc><lastmod>2025-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairee-fair-classification-with-finite-sample-and-distribution-free-guarantee-2211.15072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairee-fair-classification-with-finite-sample-and-distribution-free-guarantee-2211.15072"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-sample-complexity-of-representation-learning-in-multi-task-bandits-with-global-and-local-structure-2211.15129</loc><lastmod>2022-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-representation-learning-in-multi-task-bandits-with-global-and-local-structure-2211.15129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-representation-learning-in-multi-task-bandits-with-global-and-local-structure-2211.15129"/></url>
<url><loc>https://scifaro.com/en/abs/meta-analysis-of-individualized-treatment-rules-via-sign-coherency-2211.15476</loc><lastmod>2022-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-analysis-of-individualized-treatment-rules-via-sign-coherency-2211.15476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-analysis-of-individualized-treatment-rules-via-sign-coherency-2211.15476"/></url>
<url><loc>https://scifaro.com/en/abs/physics-informed-neural-networks-with-unknown-measurement-noise-2211.15498</loc><lastmod>2024-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-neural-networks-with-unknown-measurement-noise-2211.15498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-neural-networks-with-unknown-measurement-noise-2211.15498"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-invariance-test-time-label-shift-adaptation-for-distributions-with-spurious-correlations-2211.15646</loc><lastmod>2023-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-invariance-test-time-label-shift-adaptation-for-distributions-with-spurious-correlations-2211.15646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-invariance-test-time-label-shift-adaptation-for-distributions-with-spurious-correlations-2211.15646"/></url>
<url><loc>https://scifaro.com/en/abs/uq-armed-uncertainty-quantification-of-adversarially-regularized-mixed-effects-deep-learning-for-clustered-non-iid-data-2211.15888</loc><lastmod>2022-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uq-armed-uncertainty-quantification-of-adversarially-regularized-mixed-effects-deep-learning-for-clustered-non-iid-data-2211.15888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uq-armed-uncertainty-quantification-of-adversarially-regularized-mixed-effects-deep-learning-for-clustered-non-iid-data-2211.15888"/></url>
<url><loc>https://scifaro.com/en/abs/linear-complexity-gibbs-sampling-for-generalized-labeled-multi-bernoulli-filtering-2211.16041</loc><lastmod>2023-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-complexity-gibbs-sampling-for-generalized-labeled-multi-bernoulli-filtering-2211.16041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-complexity-gibbs-sampling-for-generalized-labeled-multi-bernoulli-filtering-2211.16041"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-multi-player-bandits-2211.16275</loc><lastmod>2024-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-multi-player-bandits-2211.16275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-multi-player-bandits-2211.16275"/></url>
<url><loc>https://scifaro.com/en/abs/linear-causal-disentanglement-via-interventions-2211.16467</loc><lastmod>2023-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-causal-disentanglement-via-interventions-2211.16467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-causal-disentanglement-via-interventions-2211.16467"/></url>
<url><loc>https://scifaro.com/en/abs/offline-policy-evaluation-and-optimization-under-confounding-2211.16583</loc><lastmod>2023-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-policy-evaluation-and-optimization-under-confounding-2211.16583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-policy-evaluation-and-optimization-under-confounding-2211.16583"/></url>
<url><loc>https://scifaro.com/en/abs/towards-dynamic-causal-discovery-with-rare-events-a-nonparametric-conditional-independence-test-2211.16596</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-dynamic-causal-discovery-with-rare-events-a-nonparametric-conditional-independence-test-2211.16596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-dynamic-causal-discovery-with-rare-events-a-nonparametric-conditional-independence-test-2211.16596"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-approach-to-the-prediction-of-drug-side-effects-on-molecular-graphs-2211.16871</loc><lastmod>2022-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-approach-to-the-prediction-of-drug-side-effects-on-molecular-graphs-2211.16871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-approach-to-the-prediction-of-drug-side-effects-on-molecular-graphs-2211.16871"/></url>
<url><loc>https://scifaro.com/en/abs/learning-non-stationary-and-discontinuous-functions-using-clustering-classification-and-gaussian-process-modelling-2211.16909</loc><lastmod>2022-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-non-stationary-and-discontinuous-functions-using-clustering-classification-and-gaussian-process-modelling-2211.16909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-non-stationary-and-discontinuous-functions-using-clustering-classification-and-gaussian-process-modelling-2211.16909"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-with-distributed-optimization-does-cocoa-forget-2211.16994</loc><lastmod>2023-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-with-distributed-optimization-does-cocoa-forget-2211.16994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-with-distributed-optimization-does-cocoa-forget-2211.16994"/></url>
<url><loc>https://scifaro.com/en/abs/pac-verification-of-statistical-algorithms-2211.17096</loc><lastmod>2023-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-verification-of-statistical-algorithms-2211.17096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-verification-of-statistical-algorithms-2211.17096"/></url>
<url><loc>https://scifaro.com/en/abs/on-regret-optimal-cooperative-nonstochastic-multi-armed-bandits-2211.17154</loc><lastmod>2023-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-regret-optimal-cooperative-nonstochastic-multi-armed-bandits-2211.17154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-regret-optimal-cooperative-nonstochastic-multi-armed-bandits-2211.17154"/></url>
<url><loc>https://scifaro.com/en/abs/are-you-using-test-log-likelihood-correctly-2212.00219</loc><lastmod>2024-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-you-using-test-log-likelihood-correctly-2212.00219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-you-using-test-log-likelihood-correctly-2212.00219"/></url>
<url><loc>https://scifaro.com/en/abs/locally-adaptive-hierarchical-cluster-termination-with-application-to-individual-tree-delineation-2212.00288</loc><lastmod>2022-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-adaptive-hierarchical-cluster-termination-with-application-to-individual-tree-delineation-2212.00288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-adaptive-hierarchical-cluster-termination-with-application-to-individual-tree-delineation-2212.00288"/></url>
<url><loc>https://scifaro.com/en/abs/penalized-overdamped-and-underdamped-langevin-monte-carlo-algorithms-for-constrained-sampling-2212.00570</loc><lastmod>2025-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/penalized-overdamped-and-underdamped-langevin-monte-carlo-algorithms-for-constrained-sampling-2212.00570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/penalized-overdamped-and-underdamped-langevin-monte-carlo-algorithms-for-constrained-sampling-2212.00570"/></url>
<url><loc>https://scifaro.com/en/abs/covariance-estimators-for-the-root-sgd-algorithm-in-online-learning-2212.01259</loc><lastmod>2022-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covariance-estimators-for-the-root-sgd-algorithm-in-online-learning-2212.01259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covariance-estimators-for-the-root-sgd-algorithm-in-online-learning-2212.01259"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-message-passing-for-multi-layer-estimation-in-rotationally-invariant-models-2212.01572</loc><lastmod>2022-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-message-passing-for-multi-layer-estimation-in-rotationally-invariant-models-2212.01572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-message-passing-for-multi-layer-estimation-in-rotationally-invariant-models-2212.01572"/></url>
<url><loc>https://scifaro.com/en/abs/visual-question-answering-from-another-perspective-clevr-mental-rotation-tests-2212.01639</loc><lastmod>2022-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visual-question-answering-from-another-perspective-clevr-mental-rotation-tests-2212.01639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visual-question-answering-from-another-perspective-clevr-mental-rotation-tests-2212.01639"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-erm-on-random-subspaces-2212.01866</loc><lastmod>2022-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-erm-on-random-subspaces-2212.01866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-erm-on-random-subspaces-2212.01866"/></url>
<url><loc>https://scifaro.com/en/abs/td3-with-reverse-kl-regularizer-for-offline-reinforcement-learning-from-mixed-datasets-2212.02125</loc><lastmod>2022-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/td3-with-reverse-kl-regularizer-for-offline-reinforcement-learning-from-mixed-datasets-2212.02125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/td3-with-reverse-kl-regularizer-for-offline-reinforcement-learning-from-mixed-datasets-2212.02125"/></url>
<url><loc>https://scifaro.com/en/abs/limitations-on-approximation-by-deep-and-shallow-neural-networks-2212.02223</loc><lastmod>2022-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/limitations-on-approximation-by-deep-and-shallow-neural-networks-2212.02223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/limitations-on-approximation-by-deep-and-shallow-neural-networks-2212.02223"/></url>
<url><loc>https://scifaro.com/en/abs/observational-and-interventional-causal-learning-for-regret-minimizing-control-2212.02435</loc><lastmod>2022-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/observational-and-interventional-causal-learning-for-regret-minimizing-control-2212.02435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/observational-and-interventional-causal-learning-for-regret-minimizing-control-2212.02435"/></url>
<url><loc>https://scifaro.com/en/abs/blessings-and-curses-of-covariate-shifts-adversarial-learning-dynamics-directional-convergence-and-equilibria-2212.02457</loc><lastmod>2024-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blessings-and-curses-of-covariate-shifts-adversarial-learning-dynamics-directional-convergence-and-equilibria-2212.02457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blessings-and-curses-of-covariate-shifts-adversarial-learning-dynamics-directional-convergence-and-equilibria-2212.02457"/></url>
<url><loc>https://scifaro.com/en/abs/qft-post-training-quantization-via-fast-joint-finetuning-of-all-degrees-of-freedom-2212.02634</loc><lastmod>2023-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/qft-post-training-quantization-via-fast-joint-finetuning-of-all-degrees-of-freedom-2212.02634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/qft-post-training-quantization-via-fast-joint-finetuning-of-all-degrees-of-freedom-2212.02634"/></url>
<url><loc>https://scifaro.com/en/abs/drift-identification-for-l-e-vy-alpha-stable-stochastic-systems-2212.03317</loc><lastmod>2022-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/drift-identification-for-l-e-vy-alpha-stable-stochastic-systems-2212.03317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/drift-identification-for-l-e-vy-alpha-stable-stochastic-systems-2212.03317"/></url>
<url><loc>https://scifaro.com/en/abs/proposal-of-a-score-based-approach-to-sampling-using-monte-carlo-estimation-of-score-and-oracle-access-to-target-density-2212.03325</loc><lastmod>2022-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proposal-of-a-score-based-approach-to-sampling-using-monte-carlo-estimation-of-score-and-oracle-access-to-target-density-2212.03325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proposal-of-a-score-based-approach-to-sampling-using-monte-carlo-estimation-of-score-and-oracle-access-to-target-density-2212.03325"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-predictive-conformal-inference-for-time-series-2212.03463</loc><lastmod>2023-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-predictive-conformal-inference-for-time-series-2212.03463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-predictive-conformal-inference-for-time-series-2212.03463"/></url>
<url><loc>https://scifaro.com/en/abs/metric-elicitation-moving-from-theory-to-practice-2212.03495</loc><lastmod>2022-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metric-elicitation-moving-from-theory-to-practice-2212.03495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metric-elicitation-moving-from-theory-to-practice-2212.03495"/></url>
<url><loc>https://scifaro.com/en/abs/criteria-for-classifying-forecasting-methods-2212.03523</loc><lastmod>2022-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/criteria-for-classifying-forecasting-methods-2212.03523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/criteria-for-classifying-forecasting-methods-2212.03523"/></url>
<url><loc>https://scifaro.com/en/abs/neighborhood-adaptive-estimators-for-causal-inference-under-network-interference-2212.03683</loc><lastmod>2025-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neighborhood-adaptive-estimators-for-causal-inference-under-network-interference-2212.03683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neighborhood-adaptive-estimators-for-causal-inference-under-network-interference-2212.03683"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-structure-for-improved-classification-of-grouped-biased-data-2212.03697</loc><lastmod>2022-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-structure-for-improved-classification-of-grouped-biased-data-2212.03697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-structure-for-improved-classification-of-grouped-biased-data-2212.03697"/></url>
<url><loc>https://scifaro.com/en/abs/tight-bounds-for-maximum-ell-1-margin-classifiers-2212.03783</loc><lastmod>2023-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-bounds-for-maximum-ell-1-margin-classifiers-2212.03783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-bounds-for-maximum-ell-1-margin-classifiers-2212.03783"/></url>
<url><loc>https://scifaro.com/en/abs/a-parallelizable-model-based-approach-for-marginal-and-multivariate-clustering-2212.04009</loc><lastmod>2022-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-parallelizable-model-based-approach-for-marginal-and-multivariate-clustering-2212.04009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-parallelizable-model-based-approach-for-marginal-and-multivariate-clustering-2212.04009"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-and-computational-guarantees-for-influence-diagnostics-2212.04014</loc><lastmod>2023-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-and-computational-guarantees-for-influence-diagnostics-2212.04014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-and-computational-guarantees-for-influence-diagnostics-2212.04014"/></url>
<url><loc>https://scifaro.com/en/abs/the-ordered-matrix-dirichlet-for-state-space-models-2212.04130</loc><lastmod>2023-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-ordered-matrix-dirichlet-for-state-space-models-2212.04130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-ordered-matrix-dirichlet-for-state-space-models-2212.04130"/></url>
<url><loc>https://scifaro.com/en/abs/a-probabilistic-autoencoder-for-causal-discovery-2212.04235</loc><lastmod>2022-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probabilistic-autoencoder-for-causal-discovery-2212.04235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probabilistic-autoencoder-for-causal-discovery-2212.04235"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-trajectory-stitching-for-improved-behavioural-cloning-and-its-applications-2212.04280</loc><lastmod>2022-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-trajectory-stitching-for-improved-behavioural-cloning-and-its-applications-2212.04280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-trajectory-stitching-for-improved-behavioural-cloning-and-its-applications-2212.04280"/></url>
<url><loc>https://scifaro.com/en/abs/structure-of-classifier-boundaries-case-study-for-a-naive-bayes-classifier-2212.04382</loc><lastmod>2026-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-of-classifier-boundaries-case-study-for-a-naive-bayes-classifier-2212.04382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-of-classifier-boundaries-case-study-for-a-naive-bayes-classifier-2212.04382"/></url>
<url><loc>https://scifaro.com/en/abs/robust-detection-and-attribution-of-climate-change-under-interventions-2212.04905</loc><lastmod>2022-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-detection-and-attribution-of-climate-change-under-interventions-2212.04905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-detection-and-attribution-of-climate-change-under-interventions-2212.04905"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-robust-kernel-statistics-for-testing-distributional-treatment-effects-2212.04922</loc><lastmod>2023-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-robust-kernel-statistics-for-testing-distributional-treatment-effects-2212.04922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-robust-kernel-statistics-for-testing-distributional-treatment-effects-2212.04922"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-optimization-for-spectral-risk-measures-2212.05149</loc><lastmod>2022-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-optimization-for-spectral-risk-measures-2212.05149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-optimization-for-spectral-risk-measures-2212.05149"/></url>
<url><loc>https://scifaro.com/en/abs/neural-continuous-time-markov-models-2212.05378</loc><lastmod>2022-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-continuous-time-markov-models-2212.05378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-continuous-time-markov-models-2212.05378"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-the-driving-forces-of-predictive-performance-application-to-credit-scoring-2212.05866</loc><lastmod>2025-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-the-driving-forces-of-predictive-performance-application-to-credit-scoring-2212.05866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-the-driving-forces-of-predictive-performance-application-to-credit-scoring-2212.05866"/></url>
<url><loc>https://scifaro.com/en/abs/causalegm-a-general-causal-inference-framework-by-encoding-generative-modeling-2212.05925</loc><lastmod>2023-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causalegm-a-general-causal-inference-framework-by-encoding-generative-modeling-2212.05925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causalegm-a-general-causal-inference-framework-by-encoding-generative-modeling-2212.05925"/></url>
<url><loc>https://scifaro.com/en/abs/corruption-robust-algorithms-with-uncertainty-weighting-for-nonlinear-contextual-bandits-and-markov-decision-processes-2212.05949</loc><lastmod>2024-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/corruption-robust-algorithms-with-uncertainty-weighting-for-nonlinear-contextual-bandits-and-markov-decision-processes-2212.05949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/corruption-robust-algorithms-with-uncertainty-weighting-for-nonlinear-contextual-bandits-and-markov-decision-processes-2212.05949"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-independent-component-analysis-for-the-sources-with-mixed-spectra-2212.06327</loc><lastmod>2022-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-independent-component-analysis-for-the-sources-with-mixed-spectra-2212.06327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-independent-component-analysis-for-the-sources-with-mixed-spectra-2212.06327"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-optimal-estimation-of-stability-under-distribution-shift-2212.06338</loc><lastmod>2026-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-optimal-estimation-of-stability-under-distribution-shift-2212.06338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-optimal-estimation-of-stability-under-distribution-shift-2212.06338"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-off-policy-evaluation-in-reinforcement-learning-2212.06355</loc><lastmod>2022-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-off-policy-evaluation-in-reinforcement-learning-2212.06355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-off-policy-evaluation-in-reinforcement-learning-2212.06355"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-flow-in-the-gaussian-covariate-model-exact-solution-of-learning-curves-and-multiple-descent-structures-2212.06757</loc><lastmod>2022-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-flow-in-the-gaussian-covariate-model-exact-solution-of-learning-curves-and-multiple-descent-structures-2212.06757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-flow-in-the-gaussian-covariate-model-exact-solution-of-learning-curves-and-multiple-descent-structures-2212.06757"/></url>
<url><loc>https://scifaro.com/en/abs/maximal-initial-learning-rates-in-deep-relu-networks-2212.07295</loc><lastmod>2023-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximal-initial-learning-rates-in-deep-relu-networks-2212.07295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximal-initial-learning-rates-in-deep-relu-networks-2212.07295"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-kernelized-independence-testing-2212.07383</loc><lastmod>2025-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-kernelized-independence-testing-2212.07383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-kernelized-independence-testing-2212.07383"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-in-credit-scoring-and-underwriting-2212.07632</loc><lastmod>2024-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-in-credit-scoring-and-underwriting-2212.07632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-in-credit-scoring-and-underwriting-2212.07632"/></url>
<url><loc>https://scifaro.com/en/abs/construction-of-a-surrogate-model-multivariate-time-series-prediction-with-a-hybrid-model-2212.07918</loc><lastmod>2022-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/construction-of-a-surrogate-model-multivariate-time-series-prediction-with-a-hybrid-model-2212.07918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/construction-of-a-surrogate-model-multivariate-time-series-prediction-with-a-hybrid-model-2212.07918"/></url>
<url><loc>https://scifaro.com/en/abs/extending-universal-approximation-guarantees-a-theoretical-justification-for-the-continuity-of-real-world-learning-tasks-2212.07934</loc><lastmod>2022-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extending-universal-approximation-guarantees-a-theoretical-justification-for-the-continuity-of-real-world-learning-tasks-2212.07934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extending-universal-approximation-guarantees-a-theoretical-justification-for-the-continuity-of-real-world-learning-tasks-2212.07934"/></url>
<url><loc>https://scifaro.com/en/abs/huber-energy-measure-quantization-2212.08162</loc><lastmod>2024-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/huber-energy-measure-quantization-2212.08162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/huber-energy-measure-quantization-2212.08162"/></url>
<url><loc>https://scifaro.com/en/abs/materials-discovery-using-max-k-armed-bandit-2212.08225</loc><lastmod>2025-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/materials-discovery-using-max-k-armed-bandit-2212.08225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/materials-discovery-using-max-k-armed-bandit-2212.08225"/></url>
<url><loc>https://scifaro.com/en/abs/a-sieve-quasi-likelihood-ratio-test-for-neural-networks-with-applications-to-genetic-association-studies-2212.08255</loc><lastmod>2022-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sieve-quasi-likelihood-ratio-test-for-neural-networks-with-applications-to-genetic-association-studies-2212.08255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sieve-quasi-likelihood-ratio-test-for-neural-networks-with-applications-to-genetic-association-studies-2212.08255"/></url>
<url><loc>https://scifaro.com/en/abs/riemannian-optimization-for-variance-estimation-in-linear-mixed-models-2212.09081</loc><lastmod>2022-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/riemannian-optimization-for-variance-estimation-in-linear-mixed-models-2212.09081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/riemannian-optimization-for-variance-estimation-in-linear-mixed-models-2212.09081"/></url>
<url><loc>https://scifaro.com/en/abs/support-vector-regression-risk-quadrangle-framework-2212.09178</loc><lastmod>2024-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/support-vector-regression-risk-quadrangle-framework-2212.09178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/support-vector-regression-risk-quadrangle-framework-2212.09178"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-machine-learning-based-predictive-and-interpretable-digital-twin-for-dynamical-systems-2212.09240</loc><lastmod>2022-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-machine-learning-based-predictive-and-interpretable-digital-twin-for-dynamical-systems-2212.09240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-machine-learning-based-predictive-and-interpretable-digital-twin-for-dynamical-systems-2212.09240"/></url>
<url><loc>https://scifaro.com/en/abs/rank-1-matrix-completion-with-gradient-descent-and-small-random-initialization-2212.09396</loc><lastmod>2025-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rank-1-matrix-completion-with-gradient-descent-and-small-random-initialization-2212.09396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rank-1-matrix-completion-with-gradient-descent-and-small-random-initialization-2212.09396"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-policy-identification-in-active-reinforcement-learning-2212.09510</loc><lastmod>2022-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-policy-identification-in-active-reinforcement-learning-2212.09510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-policy-identification-in-active-reinforcement-learning-2212.09510"/></url>
<url><loc>https://scifaro.com/en/abs/adapting-to-latent-subgroup-shifts-via-concepts-and-proxies-2212.11254</loc><lastmod>2022-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapting-to-latent-subgroup-shifts-via-concepts-and-proxies-2212.11254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapting-to-latent-subgroup-shifts-via-concepts-and-proxies-2212.11254"/></url>
<url><loc>https://scifaro.com/en/abs/deep-unfolded-tensor-robust-pca-with-self-supervised-learning-2212.11346</loc><lastmod>2022-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-unfolded-tensor-robust-pca-with-self-supervised-learning-2212.11346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-unfolded-tensor-robust-pca-with-self-supervised-learning-2212.11346"/></url>
<url><loc>https://scifaro.com/en/abs/online-statistical-inference-in-decision-making-with-matrix-context-2212.11385</loc><lastmod>2025-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-statistical-inference-in-decision-making-with-matrix-context-2212.11385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-statistical-inference-in-decision-making-with-matrix-context-2212.11385"/></url>
<url><loc>https://scifaro.com/en/abs/a-mathematical-framework-for-learning-probability-distributions-2212.11481</loc><lastmod>2023-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-mathematical-framework-for-learning-probability-distributions-2212.11481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-mathematical-framework-for-learning-probability-distributions-2212.11481"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-of-semi-competing-risk-data-via-a-new-neural-expectation-maximization-algorithm-2212.12028</loc><lastmod>2025-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-of-semi-competing-risk-data-via-a-new-neural-expectation-maximization-algorithm-2212.12028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-of-semi-competing-risk-data-via-a-new-neural-expectation-maximization-algorithm-2212.12028"/></url>
<url><loc>https://scifaro.com/en/abs/the-onset-of-variance-limited-behavior-for-networks-in-the-lazy-and-rich-regimes-2212.12147</loc><lastmod>2022-12-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-onset-of-variance-limited-behavior-for-networks-in-the-lazy-and-rich-regimes-2212.12147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-onset-of-variance-limited-behavior-for-networks-in-the-lazy-and-rich-regimes-2212.12147"/></url>
<url><loc>https://scifaro.com/en/abs/offline-reinforcement-learning-for-human-guided-human-machine-interaction-with-private-information-2212.12167</loc><lastmod>2022-12-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-reinforcement-learning-for-human-guided-human-machine-interaction-with-private-information-2212.12167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-reinforcement-learning-for-human-guided-human-machine-interaction-with-private-information-2212.12167"/></url>
<url><loc>https://scifaro.com/en/abs/stop-using-the-elbow-criterion-for-k-means-and-how-to-choose-the-number-of-clusters-instead-2212.12189</loc><lastmod>2023-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stop-using-the-elbow-criterion-for-k-means-and-how-to-choose-the-number-of-clusters-instead-2212.12189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stop-using-the-elbow-criterion-for-k-means-and-how-to-choose-the-number-of-clusters-instead-2212.12189"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-distance-based-deterministic-offspring-selection-in-smc-methods-2212.12290</loc><lastmod>2022-12-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-distance-based-deterministic-offspring-selection-in-smc-methods-2212.12290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-distance-based-deterministic-offspring-selection-in-smc-methods-2212.12290"/></url>
<url><loc>https://scifaro.com/en/abs/adapting-to-game-trees-in-zero-sum-imperfect-information-games-2212.12567</loc><lastmod>2023-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapting-to-game-trees-in-zero-sum-imperfect-information-games-2212.12567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapting-to-game-trees-in-zero-sum-imperfect-information-games-2212.12567"/></url>
<url><loc>https://scifaro.com/en/abs/concentration-of-the-langevin-algorithm-s-stationary-distribution-2212.12629</loc><lastmod>2024-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concentration-of-the-langevin-algorithm-s-stationary-distribution-2212.12629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concentration-of-the-langevin-algorithm-s-stationary-distribution-2212.12629"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-regularization-in-classification-via-hinge-loss-diagonal-descent-2212.12675</loc><lastmod>2024-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-regularization-in-classification-via-hinge-loss-diagonal-descent-2212.12675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-regularization-in-classification-via-hinge-loss-diagonal-descent-2212.12675"/></url>
<url><loc>https://scifaro.com/en/abs/deep-latent-state-space-models-for-time-series-generation-2212.12749</loc><lastmod>2023-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-latent-state-space-models-for-time-series-generation-2212.12749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-latent-state-space-models-for-time-series-generation-2212.12749"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-traffic-flow-prediction-based-on-continuous-reinforcement-learning-2212.12767</loc><lastmod>2022-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-traffic-flow-prediction-based-on-continuous-reinforcement-learning-2212.12767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-traffic-flow-prediction-based-on-continuous-reinforcement-learning-2212.12767"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-nonlinear-dynamics-in-continuous-time-with-inductive-biases-on-decay-rates-and-or-frequencies-2212.13033</loc><lastmod>2022-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-nonlinear-dynamics-in-continuous-time-with-inductive-biases-on-decay-rates-and-or-frequencies-2212.13033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-nonlinear-dynamics-in-continuous-time-with-inductive-biases-on-decay-rates-and-or-frequencies-2212.13033"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-reinforcement-learning-with-multinomial-logistic-function-approximation-2212.13540</loc><lastmod>2024-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-with-multinomial-logistic-function-approximation-2212.13540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-with-multinomial-logistic-function-approximation-2212.13540"/></url>
<url><loc>https://scifaro.com/en/abs/annealing-double-head-an-architecture-for-online-calibration-of-deep-neural-networks-2212.13621</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/annealing-double-head-an-architecture-for-online-calibration-of-deep-neural-networks-2212.13621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/annealing-double-head-an-architecture-for-online-calibration-of-deep-neural-networks-2212.13621"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-estimation-of-contaminated-data-via-dnn-based-mom-gans-2212.13741</loc><lastmod>2022-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-estimation-of-contaminated-data-via-dnn-based-mom-gans-2212.13741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-estimation-of-contaminated-data-via-dnn-based-mom-gans-2212.13741"/></url>
<url><loc>https://scifaro.com/en/abs/a-data-adaptive-prior-for-bayesian-learning-of-kernels-in-operators-2212.14163</loc><lastmod>2024-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-data-adaptive-prior-for-bayesian-learning-of-kernels-in-operators-2212.14163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-data-adaptive-prior-for-bayesian-learning-of-kernels-in-operators-2212.14163"/></url>
<url><loc>https://scifaro.com/en/abs/do-bayesian-variational-autoencoders-know-what-they-don-t-know-2212.14272</loc><lastmod>2023-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-bayesian-variational-autoencoders-know-what-they-don-t-know-2212.14272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-bayesian-variational-autoencoders-know-what-they-don-t-know-2212.14272"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-priors-for-systems-of-linear-partial-differential-equations-with-constant-coefficients-2212.14319</loc><lastmod>2023-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-priors-for-systems-of-linear-partial-differential-equations-with-constant-coefficients-2212.14319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-priors-for-systems-of-linear-partial-differential-equations-with-constant-coefficients-2212.14319"/></url>
<url><loc>https://scifaro.com/en/abs/normalizing-flow-neural-networks-by-jko-scheme-2212.14424</loc><lastmod>2024-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normalizing-flow-neural-networks-by-jko-scheme-2212.14424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normalizing-flow-neural-networks-by-jko-scheme-2212.14424"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-interpolation-with-deep-linear-networks-2212.14457</loc><lastmod>2023-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-interpolation-with-deep-linear-networks-2212.14457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-interpolation-with-deep-linear-networks-2212.14457"/></url>
<url><loc>https://scifaro.com/en/abs/quantile-off-policy-evaluation-via-deep-conditional-generative-learning-2212.14466</loc><lastmod>2023-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantile-off-policy-evaluation-via-deep-conditional-generative-learning-2212.14466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantile-off-policy-evaluation-via-deep-conditional-generative-learning-2212.14466"/></url>
<url><loc>https://scifaro.com/en/abs/an-instrumental-variable-approach-to-confounded-off-policy-evaluation-2212.14468</loc><lastmod>2023-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-instrumental-variable-approach-to-confounded-off-policy-evaluation-2212.14468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-instrumental-variable-approach-to-confounded-off-policy-evaluation-2212.14468"/></url>
<url><loc>https://scifaro.com/en/abs/the-voronoigram-minimax-estimation-of-bounded-variation-functions-from-scattered-data-2212.14514</loc><lastmod>2023-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-voronoigram-minimax-estimation-of-bounded-variation-functions-from-scattered-data-2212.14514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-voronoigram-minimax-estimation-of-bounded-variation-functions-from-scattered-data-2212.14514"/></url>
<url><loc>https://scifaro.com/en/abs/relative-probability-on-finite-outcome-spaces-a-systematic-examination-of-its-axiomatization-properties-and-applications-2212.14555</loc><lastmod>2023-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relative-probability-on-finite-outcome-spaces-a-systematic-examination-of-its-axiomatization-properties-and-applications-2212.14555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relative-probability-on-finite-outcome-spaces-a-systematic-examination-of-its-axiomatization-properties-and-applications-2212.14555"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-synthetic-learner-for-panel-data-2212.14580</loc><lastmod>2023-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-synthetic-learner-for-panel-data-2212.14580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-synthetic-learner-for-panel-data-2212.14580"/></url>
<url><loc>https://scifaro.com/en/abs/posterior-sampling-with-cnn-based-plug-and-play-regularization-with-applications-to-post-stack-seismic-inversion-2212.14595</loc><lastmod>2023-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/posterior-sampling-with-cnn-based-plug-and-play-regularization-with-applications-to-post-stack-seismic-inversion-2212.14595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/posterior-sampling-with-cnn-based-plug-and-play-regularization-with-applications-to-post-stack-seismic-inversion-2212.14595"/></url>
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<url><loc>https://scifaro.com/en/abs/pac-bayesian-like-error-bound-for-a-class-of-linear-time-invariant-stochastic-state-space-models-2212.14838</loc><lastmod>2023-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayesian-like-error-bound-for-a-class-of-linear-time-invariant-stochastic-state-space-models-2212.14838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayesian-like-error-bound-for-a-class-of-linear-time-invariant-stochastic-state-space-models-2212.14838"/></url>
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<url><loc>https://scifaro.com/en/abs/inference-on-time-series-nonparametric-conditional-moment-restrictions-using-general-sieves-2301.00092</loc><lastmod>2023-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-on-time-series-nonparametric-conditional-moment-restrictions-using-general-sieves-2301.00092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-on-time-series-nonparametric-conditional-moment-restrictions-using-general-sieves-2301.00092"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-singularities-in-point-clouds-with-the-graph-laplacian-an-explicit-approach-2301.00201</loc><lastmod>2026-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-singularities-in-point-clouds-with-the-graph-laplacian-an-explicit-approach-2301.00201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-singularities-in-point-clouds-with-the-graph-laplacian-an-explicit-approach-2301.00201"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-bandits-and-optimistically-universal-learning-2301.00241</loc><lastmod>2023-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-bandits-and-optimistically-universal-learning-2301.00241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-bandits-and-optimistically-universal-learning-2301.00241"/></url>
<url><loc>https://scifaro.com/en/abs/posterior-collapse-and-latent-variable-non-identifiability-2301.00537</loc><lastmod>2023-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/posterior-collapse-and-latent-variable-non-identifiability-2301.00537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/posterior-collapse-and-latent-variable-non-identifiability-2301.00537"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-moving-average-field-guided-learning-for-spatio-temporal-data-2301.00736</loc><lastmod>2024-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-moving-average-field-guided-learning-for-spatio-temporal-data-2301.00736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-moving-average-field-guided-learning-for-spatio-temporal-data-2301.00736"/></url>
<url><loc>https://scifaro.com/en/abs/causal-inference-c-inf-closed-form-worst-case-typical-phase-transitions-2301.00793</loc><lastmod>2023-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-inference-c-inf-closed-form-worst-case-typical-phase-transitions-2301.00793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-inference-c-inf-closed-form-worst-case-typical-phase-transitions-2301.00793"/></url>
<url><loc>https://scifaro.com/en/abs/causal-inference-c-inf-asymmetric-scenario-of-typical-phase-transitions-2301.00801</loc><lastmod>2023-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-inference-c-inf-asymmetric-scenario-of-typical-phase-transitions-2301.00801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-inference-c-inf-asymmetric-scenario-of-typical-phase-transitions-2301.00801"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-differential-privacy-2301.00841</loc><lastmod>2023-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-differential-privacy-2301.00841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-differential-privacy-2301.00841"/></url>
<url><loc>https://scifaro.com/en/abs/multidimensional-item-response-theory-in-the-style-of-collaborative-filtering-2301.00909</loc><lastmod>2025-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multidimensional-item-response-theory-in-the-style-of-collaborative-filtering-2301.00909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multidimensional-item-response-theory-in-the-style-of-collaborative-filtering-2301.00909"/></url>
<url><loc>https://scifaro.com/en/abs/deep-spectral-q-learning-with-application-to-mobile-health-2301.00927</loc><lastmod>2023-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-spectral-q-learning-with-application-to-mobile-health-2301.00927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-spectral-q-learning-with-application-to-mobile-health-2301.00927"/></url>
<url><loc>https://scifaro.com/en/abs/a-tutorial-on-parametric-variational-inference-2301.01236</loc><lastmod>2023-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tutorial-on-parametric-variational-inference-2301.01236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tutorial-on-parametric-variational-inference-2301.01236"/></url>
<url><loc>https://scifaro.com/en/abs/linear-chain-conditional-random-fields-hidden-markov-models-and-related-classifiers-2301.01293</loc><lastmod>2023-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-chain-conditional-random-fields-hidden-markov-models-and-related-classifiers-2301.01293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-chain-conditional-random-fields-hidden-markov-models-and-related-classifiers-2301.01293"/></url>
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<url><loc>https://scifaro.com/en/abs/ci-gnn-a-granger-causality-inspired-graph-neural-network-for-interpretable-brain-network-based-psychiatric-diagnosis-2301.01642</loc><lastmod>2024-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ci-gnn-a-granger-causality-inspired-graph-neural-network-for-interpretable-brain-network-based-psychiatric-diagnosis-2301.01642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ci-gnn-a-granger-causality-inspired-graph-neural-network-for-interpretable-brain-network-based-psychiatric-diagnosis-2301.01642"/></url>
<url><loc>https://scifaro.com/en/abs/enhancement-attacks-in-biomedical-machine-learning-2301.01885</loc><lastmod>2023-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancement-attacks-in-biomedical-machine-learning-2301.01885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancement-attacks-in-biomedical-machine-learning-2301.01885"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-framework-for-implementing-distances-for-categorical-variables-2301.02190</loc><lastmod>2023-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-framework-for-implementing-distances-for-categorical-variables-2301.02190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-framework-for-implementing-distances-for-categorical-variables-2301.02190"/></url>
<url><loc>https://scifaro.com/en/abs/value-enhancement-of-reinforcement-learning-via-efficient-and-robust-trust-region-optimization-2301.02220</loc><lastmod>2023-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/value-enhancement-of-reinforcement-learning-via-efficient-and-robust-trust-region-optimization-2301.02220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/value-enhancement-of-reinforcement-learning-via-efficient-and-robust-trust-region-optimization-2301.02220"/></url>
<url><loc>https://scifaro.com/en/abs/l-1-2-glasso-l-1-2-regularized-multi-task-graphical-lasso-for-joint-estimation-of-eqtl-mapping-and-gene-network-2301.02225</loc><lastmod>2023-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l-1-2-glasso-l-1-2-regularized-multi-task-graphical-lasso-for-joint-estimation-of-eqtl-mapping-and-gene-network-2301.02225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l-1-2-glasso-l-1-2-regularized-multi-task-graphical-lasso-for-joint-estimation-of-eqtl-mapping-and-gene-network-2301.02225"/></url>
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<url><loc>https://scifaro.com/en/abs/evaluating-counterfactual-explanations-using-pearl-s-counterfactual-method-2301.02499</loc><lastmod>2023-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-counterfactual-explanations-using-pearl-s-counterfactual-method-2301.02499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-counterfactual-explanations-using-pearl-s-counterfactual-method-2301.02499"/></url>
<url><loc>https://scifaro.com/en/abs/principal-component-analysis-in-space-forms-2301.02750</loc><lastmod>2024-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principal-component-analysis-in-space-forms-2301.02750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principal-component-analysis-in-space-forms-2301.02750"/></url>
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<url><loc>https://scifaro.com/en/abs/semiparametric-regression-for-spatial-data-via-deep-learning-2301.03747</loc><lastmod>2023-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semiparametric-regression-for-spatial-data-via-deep-learning-2301.03747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semiparametric-regression-for-spatial-data-via-deep-learning-2301.03747"/></url>
<url><loc>https://scifaro.com/en/abs/markovian-sliced-wasserstein-distances-beyond-independent-projections-2301.03749</loc><lastmod>2024-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markovian-sliced-wasserstein-distances-beyond-independent-projections-2301.03749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markovian-sliced-wasserstein-distances-beyond-independent-projections-2301.03749"/></url>
<url><loc>https://scifaro.com/en/abs/best-arm-identification-in-stochastic-bandits-beyond-beta-optimality-2301.03785</loc><lastmod>2023-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/best-arm-identification-in-stochastic-bandits-beyond-beta-optimality-2301.03785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/best-arm-identification-in-stochastic-bandits-beyond-beta-optimality-2301.03785"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-restricted-interventional-shapley-values-2301.04041</loc><lastmod>2023-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-restricted-interventional-shapley-values-2301.04041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-restricted-interventional-shapley-values-2301.04041"/></url>
<url><loc>https://scifaro.com/en/abs/odim-outlier-detection-via-likelihood-of-under-fitted-generative-models-2301.04257</loc><lastmod>2024-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/odim-outlier-detection-via-likelihood-of-under-fitted-generative-models-2301.04257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/odim-outlier-detection-via-likelihood-of-under-fitted-generative-models-2301.04257"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-posterior-threshold-improves-network-clustering-accuracy-in-sparse-regimes-2301.04771</loc><lastmod>2024-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-posterior-threshold-improves-network-clustering-accuracy-in-sparse-regimes-2301.04771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-posterior-threshold-improves-network-clustering-accuracy-in-sparse-regimes-2301.04771"/></url>
<url><loc>https://scifaro.com/en/abs/self-attention-amortized-distributional-projection-optimization-for-sliced-wasserstein-point-cloud-reconstruction-2301.04791</loc><lastmod>2023-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-attention-amortized-distributional-projection-optimization-for-sliced-wasserstein-point-cloud-reconstruction-2301.04791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-attention-amortized-distributional-projection-optimization-for-sliced-wasserstein-point-cloud-reconstruction-2301.04791"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-with-optimal-neuron-activation-functions-based-on-additive-gaussian-process-regression-2301.05567</loc><lastmod>2023-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-with-optimal-neuron-activation-functions-based-on-additive-gaussian-process-regression-2301.05567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-with-optimal-neuron-activation-functions-based-on-additive-gaussian-process-regression-2301.05567"/></url>
<url><loc>https://scifaro.com/en/abs/a-domain-decomposed-vae-method-for-bayesian-inverse-problems-2301.05708</loc><lastmod>2023-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-domain-decomposed-vae-method-for-bayesian-inverse-problems-2301.05708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-domain-decomposed-vae-method-for-bayesian-inverse-problems-2301.05708"/></url>
<url><loc>https://scifaro.com/en/abs/gar-generalized-autoregression-for-multi-fidelity-fusion-2301.05729</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gar-generalized-autoregression-for-multi-fidelity-fusion-2301.05729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gar-generalized-autoregression-for-multi-fidelity-fusion-2301.05729"/></url>
<url><loc>https://scifaro.com/en/abs/compress-then-test-powerful-kernel-testing-in-near-linear-time-2301.05974</loc><lastmod>2025-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compress-then-test-powerful-kernel-testing-in-near-linear-time-2301.05974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compress-then-test-powerful-kernel-testing-in-near-linear-time-2301.05974"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-role-of-model-uncertainties-in-bayesian-optimization-2301.05983</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-role-of-model-uncertainties-in-bayesian-optimization-2301.05983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-role-of-model-uncertainties-in-bayesian-optimization-2301.05983"/></url>
<url><loc>https://scifaro.com/en/abs/calibrated-data-dependent-constraints-with-exact-satisfaction-guarantees-2301.06195</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrated-data-dependent-constraints-with-exact-satisfaction-guarantees-2301.06195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrated-data-dependent-constraints-with-exact-satisfaction-guarantees-2301.06195"/></url>
<url><loc>https://scifaro.com/en/abs/intrinsic-gaussian-process-on-unknown-manifolds-with-probabilistic-metrics-2301.06533</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrinsic-gaussian-process-on-unknown-manifolds-with-probabilistic-metrics-2301.06533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrinsic-gaussian-process-on-unknown-manifolds-with-probabilistic-metrics-2301.06533"/></url>
<url><loc>https://scifaro.com/en/abs/case-base-neural-networks-survival-analysis-with-time-varying-higher-order-interactions-2301.06535</loc><lastmod>2024-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/case-base-neural-networks-survival-analysis-with-time-varying-higher-order-interactions-2301.06535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/case-base-neural-networks-survival-analysis-with-time-varying-higher-order-interactions-2301.06535"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-deep-networks-with-the-mesh-adaptive-direct-search-algorithm-2301.06641</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-deep-networks-with-the-mesh-adaptive-direct-search-algorithm-2301.06641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-deep-networks-with-the-mesh-adaptive-direct-search-algorithm-2301.06641"/></url>
<url><loc>https://scifaro.com/en/abs/deep-conditional-measure-quantization-2301.06907</loc><lastmod>2024-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-conditional-measure-quantization-2301.06907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-conditional-measure-quantization-2301.06907"/></url>
<url><loc>https://scifaro.com/en/abs/mafus-a-framework-to-predict-mortality-risk-in-mafld-subjects-2301.06908</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mafus-a-framework-to-predict-mortality-risk-in-mafld-subjects-2301.06908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mafus-a-framework-to-predict-mortality-risk-in-mafld-subjects-2301.06908"/></url>
<url><loc>https://scifaro.com/en/abs/expected-gradients-of-maxout-networks-and-consequences-to-parameter-initialization-2301.06956</loc><lastmod>2023-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expected-gradients-of-maxout-networks-and-consequences-to-parameter-initialization-2301.06956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expected-gradients-of-maxout-networks-and-consequences-to-parameter-initialization-2301.06956"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-algorithm-for-adaptive-private-mean-estimation-2301.07078</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-algorithm-for-adaptive-private-mean-estimation-2301.07078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-algorithm-for-adaptive-private-mean-estimation-2301.07078"/></url>
<url><loc>https://scifaro.com/en/abs/dual-spls-a-family-of-dual-sparse-partial-least-squares-regressions-for-feature-selection-and-prediction-with-tunable-sparsity-evaluation-on-simulated-and-near-infrared-nir-data-2301.07206</loc><lastmod>2023-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-spls-a-family-of-dual-sparse-partial-least-squares-regressions-for-feature-selection-and-prediction-with-tunable-sparsity-evaluation-on-simulated-and-near-infrared-nir-data-2301.07206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-spls-a-family-of-dual-sparse-partial-least-squares-regressions-for-feature-selection-and-prediction-with-tunable-sparsity-evaluation-on-simulated-and-near-infrared-nir-data-2301.07206"/></url>
<url><loc>https://scifaro.com/en/abs/learning-interpolations-between-boltzmann-densities-2301.07388</loc><lastmod>2023-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-interpolations-between-boltzmann-densities-2301.07388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-interpolations-between-boltzmann-densities-2301.07388"/></url>
<url><loc>https://scifaro.com/en/abs/strong-inductive-biases-provably-prevent-harmless-interpolation-2301.07605</loc><lastmod>2023-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strong-inductive-biases-provably-prevent-harmless-interpolation-2301.07605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strong-inductive-biases-provably-prevent-harmless-interpolation-2301.07605"/></url>
<url><loc>https://scifaro.com/en/abs/physics-informed-information-field-theory-for-modeling-physical-systems-with-uncertainty-quantification-2301.07609</loc><lastmod>2024-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-information-field-theory-for-modeling-physical-systems-with-uncertainty-quantification-2301.07609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-information-field-theory-for-modeling-physical-systems-with-uncertainty-quantification-2301.07609"/></url>
<url><loc>https://scifaro.com/en/abs/an-analysis-of-loss-functions-for-binary-classification-and-regression-2301.07638</loc><lastmod>2023-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-analysis-of-loss-functions-for-binary-classification-and-regression-2301.07638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-analysis-of-loss-functions-for-binary-classification-and-regression-2301.07638"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-resolution-framework-for-u-nets-with-applications-to-hierarchical-vaes-2301.08187</loc><lastmod>2023-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-resolution-framework-for-u-nets-with-applications-to-hierarchical-vaes-2301.08187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-resolution-framework-for-u-nets-with-applications-to-hierarchical-vaes-2301.08187"/></url>
<url><loc>https://scifaro.com/en/abs/score-based-causal-representation-learning-with-interventions-2301.08230</loc><lastmod>2023-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/score-based-causal-representation-learning-with-interventions-2301.08230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/score-based-causal-representation-learning-with-interventions-2301.08230"/></url>
<url><loc>https://scifaro.com/en/abs/within-group-fairness-a-guidance-for-more-sound-between-group-fairness-2301.08375</loc><lastmod>2023-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/within-group-fairness-a-guidance-for-more-sound-between-group-fairness-2301.08375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/within-group-fairness-a-guidance-for-more-sound-between-group-fairness-2301.08375"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-learning-for-data-scarcity-in-a-fatigue-damage-prognostic-problem-2301.08441</loc><lastmod>2023-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-learning-for-data-scarcity-in-a-fatigue-damage-prognostic-problem-2301.08441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-learning-for-data-scarcity-in-a-fatigue-damage-prognostic-problem-2301.08441"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-evaluation-with-out-of-sample-guarantees-2301.08649</loc><lastmod>2023-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-evaluation-with-out-of-sample-guarantees-2301.08649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-evaluation-with-out-of-sample-guarantees-2301.08649"/></url>
<url><loc>https://scifaro.com/en/abs/quasi-optimal-reinforcement-learning-with-continuous-actions-2301.08940</loc><lastmod>2023-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quasi-optimal-reinforcement-learning-with-continuous-actions-2301.08940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quasi-optimal-reinforcement-learning-with-continuous-actions-2301.08940"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-non-identifiability-of-learned-structural-causal-models-2301.09031</loc><lastmod>2023-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-non-identifiability-of-learned-structural-causal-models-2301.09031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-non-identifiability-of-learned-structural-causal-models-2301.09031"/></url>
<url><loc>https://scifaro.com/en/abs/design-based-individual-prediction-2301.09117</loc><lastmod>2023-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/design-based-individual-prediction-2301.09117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/design-based-individual-prediction-2301.09117"/></url>
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<url><loc>https://scifaro.com/en/abs/optimizing-the-noise-in-self-supervised-learning-from-importance-sampling-to-noise-contrastive-estimation-2301.09696</loc><lastmod>2023-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-the-noise-in-self-supervised-learning-from-importance-sampling-to-noise-contrastive-estimation-2301.09696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-the-noise-in-self-supervised-learning-from-importance-sampling-to-noise-contrastive-estimation-2301.09696"/></url>
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<url><loc>https://scifaro.com/en/abs/two-sided-competing-matching-recommendation-markets-with-quota-and-complementary-preferences-constraints-2301.10230</loc><lastmod>2024-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-sided-competing-matching-recommendation-markets-with-quota-and-complementary-preferences-constraints-2301.10230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-sided-competing-matching-recommendation-markets-with-quota-and-complementary-preferences-constraints-2301.10230"/></url>
<url><loc>https://scifaro.com/en/abs/learning-dynamical-systems-from-data-a-simple-cross-validation-perspective-part-v-sparse-kernel-flows-for-132-chaotic-dynamical-systems-2301.10321</loc><lastmod>2023-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-dynamical-systems-from-data-a-simple-cross-validation-perspective-part-v-sparse-kernel-flows-for-132-chaotic-dynamical-systems-2301.10321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-dynamical-systems-from-data-a-simple-cross-validation-perspective-part-v-sparse-kernel-flows-for-132-chaotic-dynamical-systems-2301.10321"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-causal-learning-of-conditional-average-treatment-effects-2301.10913</loc><lastmod>2023-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-causal-learning-of-conditional-average-treatment-effects-2301.10913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-causal-learning-of-conditional-average-treatment-effects-2301.10913"/></url>
<url><loc>https://scifaro.com/en/abs/learning-large-scale-sparse-models-2301.10958</loc><lastmod>2023-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-large-scale-sparse-models-2301.10958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-large-scale-sparse-models-2301.10958"/></url>
<url><loc>https://scifaro.com/en/abs/conformal-prediction-for-trustworthy-detection-of-railway-signals-2301.11136</loc><lastmod>2023-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformal-prediction-for-trustworthy-detection-of-railway-signals-2301.11136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformal-prediction-for-trustworthy-detection-of-railway-signals-2301.11136"/></url>
<url><loc>https://scifaro.com/en/abs/smoothed-online-learning-for-prediction-in-piecewise-affine-systems-2301.11187</loc><lastmod>2024-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smoothed-online-learning-for-prediction-in-piecewise-affine-systems-2301.11187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smoothed-online-learning-for-prediction-in-piecewise-affine-systems-2301.11187"/></url>
<url><loc>https://scifaro.com/en/abs/returning-the-favour-when-regression-benefits-from-probabilistic-causal-knowledge-2301.11214</loc><lastmod>2023-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/returning-the-favour-when-regression-benefits-from-probabilistic-causal-knowledge-2301.11214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/returning-the-favour-when-regression-benefits-from-probabilistic-causal-knowledge-2301.11214"/></url>
<url><loc>https://scifaro.com/en/abs/coin-sampling-gradient-based-bayesian-inference-without-learning-rates-2301.11294</loc><lastmod>2023-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coin-sampling-gradient-based-bayesian-inference-without-learning-rates-2301.11294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coin-sampling-gradient-based-bayesian-inference-without-learning-rates-2301.11294"/></url>
<url><loc>https://scifaro.com/en/abs/causal-bandits-without-graph-learning-2301.11401</loc><lastmod>2023-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-bandits-without-graph-learning-2301.11401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-bandits-without-graph-learning-2301.11401"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-approach-and-extreme-value-theory-to-correlated-stochastic-time-series-with-application-to-tree-ring-data-2301.11488</loc><lastmod>2023-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-approach-and-extreme-value-theory-to-correlated-stochastic-time-series-with-application-to-tree-ring-data-2301.11488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-approach-and-extreme-value-theory-to-correlated-stochastic-time-series-with-application-to-tree-ring-data-2301.11488"/></url>
<url><loc>https://scifaro.com/en/abs/conformal-inference-is-almost-free-for-neural-networks-trained-with-early-stopping-2301.11556</loc><lastmod>2023-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformal-inference-is-almost-free-for-neural-networks-trained-with-early-stopping-2301.11556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformal-inference-is-almost-free-for-neural-networks-trained-with-early-stopping-2301.11556"/></url>
<url><loc>https://scifaro.com/en/abs/robust-variance-regularized-risk-minimization-with-concomitant-scaling-2301.11584</loc><lastmod>2024-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-variance-regularized-risk-minimization-with-concomitant-scaling-2301.11584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-variance-regularized-risk-minimization-with-concomitant-scaling-2301.11584"/></url>
<url><loc>https://scifaro.com/en/abs/bounding-box-based-multi-objective-bayesian-optimization-of-risk-measures-under-input-uncertainty-2301.11588</loc><lastmod>2023-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounding-box-based-multi-objective-bayesian-optimization-of-risk-measures-under-input-uncertainty-2301.11588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounding-box-based-multi-objective-bayesian-optimization-of-risk-measures-under-input-uncertainty-2301.11588"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-dynamics-of-sparsely-observed-interacting-systems-2301.11647</loc><lastmod>2023-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-dynamics-of-sparsely-observed-interacting-systems-2301.11647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-dynamics-of-sparsely-observed-interacting-systems-2301.11647"/></url>
<url><loc>https://scifaro.com/en/abs/legendretron-uprising-proper-multiclass-loss-learning-2301.11695</loc><lastmod>2023-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/legendretron-uprising-proper-multiclass-loss-learning-2301.11695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/legendretron-uprising-proper-multiclass-loss-learning-2301.11695"/></url>
<url><loc>https://scifaro.com/en/abs/big-portfolio-selection-by-graph-based-conditional-moments-method-2301.11697</loc><lastmod>2023-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/big-portfolio-selection-by-graph-based-conditional-moments-method-2301.11697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/big-portfolio-selection-by-graph-based-conditional-moments-method-2301.11697"/></url>
<url><loc>https://scifaro.com/en/abs/single-trajectory-distributionally-robust-reinforcement-learning-2301.11721</loc><lastmod>2024-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/single-trajectory-distributionally-robust-reinforcement-learning-2301.11721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/single-trajectory-distributionally-robust-reinforcement-learning-2301.11721"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-neural-networks-for-valid-and-efficient-causal-inference-2301.11732</loc><lastmod>2025-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-neural-networks-for-valid-and-efficient-causal-inference-2301.11732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-neural-networks-for-valid-and-efficient-causal-inference-2301.11732"/></url>
<url><loc>https://scifaro.com/en/abs/neural-additive-models-for-location-scale-and-shape-a-framework-for-interpretable-neural-regression-beyond-the-mean-2301.11862</loc><lastmod>2024-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-additive-models-for-location-scale-and-shape-a-framework-for-interpretable-neural-regression-beyond-the-mean-2301.11862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-additive-models-for-location-scale-and-shape-a-framework-for-interpretable-neural-regression-beyond-the-mean-2301.11862"/></url>
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<url><loc>https://scifaro.com/en/abs/algorithmic-stability-of-heavy-tailed-sgd-with-general-loss-functions-2301.11885</loc><lastmod>2023-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-stability-of-heavy-tailed-sgd-with-general-loss-functions-2301.11885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-stability-of-heavy-tailed-sgd-with-general-loss-functions-2301.11885"/></url>
<url><loc>https://scifaro.com/en/abs/reduced-order-autodifferentiable-ensemble-kalman-filters-2301.11961</loc><lastmod>2023-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reduced-order-autodifferentiable-ensemble-kalman-filters-2301.11961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reduced-order-autodifferentiable-ensemble-kalman-filters-2301.11961"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-highly-adaptive-lasso-2301.12029</loc><lastmod>2023-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-highly-adaptive-lasso-2301.12029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-highly-adaptive-lasso-2301.12029"/></url>
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<url><loc>https://scifaro.com/en/abs/imbalanced-mixed-linear-regression-2301.12559</loc><lastmod>2023-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imbalanced-mixed-linear-regression-2301.12559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imbalanced-mixed-linear-regression-2301.12559"/></url>
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<url><loc>https://scifaro.com/en/abs/integrating-earth-observation-data-into-causal-inference-challenges-and-opportunities-2301.12985</loc><lastmod>2023-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-earth-observation-data-into-causal-inference-challenges-and-opportunities-2301.12985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-earth-observation-data-into-causal-inference-challenges-and-opportunities-2301.12985"/></url>
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<url><loc>https://scifaro.com/en/abs/demystifying-disagreement-on-the-line-in-high-dimensions-2301.13371</loc><lastmod>2023-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demystifying-disagreement-on-the-line-in-high-dimensions-2301.13371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demystifying-disagreement-on-the-line-in-high-dimensions-2301.13371"/></url>
<url><loc>https://scifaro.com/en/abs/robust-linear-regression-gradient-descent-early-stopping-and-beyond-2301.13486</loc><lastmod>2023-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-linear-regression-gradient-descent-early-stopping-and-beyond-2301.13486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-linear-regression-gradient-descent-early-stopping-and-beyond-2301.13486"/></url>
<url><loc>https://scifaro.com/en/abs/population-wise-labeling-of-sulcal-graphs-using-multi-graph-matching-2301.13532</loc><lastmod>2023-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/population-wise-labeling-of-sulcal-graphs-using-multi-graph-matching-2301.13532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/population-wise-labeling-of-sulcal-graphs-using-multi-graph-matching-2301.13532"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-initialisation-of-wide-low-rank-feedforward-neural-networks-2301.13710</loc><lastmod>2023-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-initialisation-of-wide-low-rank-feedforward-neural-networks-2301.13710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-initialisation-of-wide-low-rank-feedforward-neural-networks-2301.13710"/></url>
<url><loc>https://scifaro.com/en/abs/towards-fully-covariant-machine-learning-2301.13724</loc><lastmod>2023-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-fully-covariant-machine-learning-2301.13724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-fully-covariant-machine-learning-2301.13724"/></url>
<url><loc>https://scifaro.com/en/abs/a-relaxed-proximal-gradient-descent-algorithm-for-convergent-plug-and-play-with-proximal-denoiser-2301.13731</loc><lastmod>2023-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-relaxed-proximal-gradient-descent-algorithm-for-convergent-plug-and-play-with-proximal-denoiser-2301.13731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-relaxed-proximal-gradient-descent-algorithm-for-convergent-plug-and-play-with-proximal-denoiser-2301.13731"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-distributed-bayesian-linear-regression-with-mcmc-2301.13778</loc><lastmod>2023-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-distributed-bayesian-linear-regression-with-mcmc-2301.13778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-distributed-bayesian-linear-regression-with-mcmc-2301.13778"/></url>
<url><loc>https://scifaro.com/en/abs/improved-algorithms-for-multi-period-multi-class-packing-problems-with-bandit-feedback-2301.13791</loc><lastmod>2023-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-algorithms-for-multi-period-multi-class-packing-problems-with-bandit-feedback-2301.13791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-algorithms-for-multi-period-multi-class-packing-problems-with-bandit-feedback-2301.13791"/></url>
<url><loc>https://scifaro.com/en/abs/simplex-random-features-2301.13856</loc><lastmod>2023-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simplex-random-features-2301.13856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simplex-random-features-2301.13856"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-sequential-federated-learning-2302.00107</loc><lastmod>2026-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-sequential-federated-learning-2302.00107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-sequential-federated-learning-2302.00107"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-in-neural-networks-as-sequential-learning-in-rkbs-2302.00205</loc><lastmod>2023-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-in-neural-networks-as-sequential-learning-in-rkbs-2302.00205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-in-neural-networks-as-sequential-learning-in-rkbs-2302.00205"/></url>
<url><loc>https://scifaro.com/en/abs/the-parametric-stability-of-well-separated-spherical-gaussian-mixtures-2302.00242</loc><lastmod>2023-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-parametric-stability-of-well-separated-spherical-gaussian-mixtures-2302.00242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-parametric-stability-of-well-separated-spherical-gaussian-mixtures-2302.00242"/></url>
<url><loc>https://scifaro.com/en/abs/quickest-change-detection-for-unnormalized-statistical-models-2302.00250</loc><lastmod>2023-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quickest-change-detection-for-unnormalized-statistical-models-2302.00250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quickest-change-detection-for-unnormalized-statistical-models-2302.00250"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-psi-weakly-dependent-processes-2302.00333</loc><lastmod>2023-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-psi-weakly-dependent-processes-2302.00333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-psi-weakly-dependent-processes-2302.00333"/></url>
<url><loc>https://scifaro.com/en/abs/reverse-ordering-techniques-for-attention-based-channel-prediction-2302.00341</loc><lastmod>2025-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reverse-ordering-techniques-for-attention-based-channel-prediction-2302.00341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reverse-ordering-techniques-for-attention-based-channel-prediction-2302.00341"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-select-predictive-models-for-causal-inference-2302.00370</loc><lastmod>2023-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-select-predictive-models-for-causal-inference-2302.00370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-select-predictive-models-for-causal-inference-2302.00370"/></url>
<url><loc>https://scifaro.com/en/abs/bayes-optimal-learning-of-deep-random-networks-of-extensive-width-2302.00375</loc><lastmod>2023-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayes-optimal-learning-of-deep-random-networks-of-extensive-width-2302.00375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayes-optimal-learning-of-deep-random-networks-of-extensive-width-2302.00375"/></url>
<url><loc>https://scifaro.com/en/abs/delayed-feedback-in-kernel-bandits-2302.00392</loc><lastmod>2023-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/delayed-feedback-in-kernel-bandits-2302.00392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/delayed-feedback-in-kernel-bandits-2302.00392"/></url>
<url><loc>https://scifaro.com/en/abs/deterministic-equivalent-and-error-universality-of-deep-random-features-learning-2302.00401</loc><lastmod>2023-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deterministic-equivalent-and-error-universality-of-deep-random-features-learning-2302.00401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deterministic-equivalent-and-error-universality-of-deep-random-features-learning-2302.00401"/></url>
<url><loc>https://scifaro.com/en/abs/robust-online-active-learning-2302.00422</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-online-active-learning-2302.00422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-online-active-learning-2302.00422"/></url>
<url><loc>https://scifaro.com/en/abs/width-and-depth-limits-commute-in-residual-networks-2302.00453</loc><lastmod>2023-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/width-and-depth-limits-commute-in-residual-networks-2302.00453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/width-and-depth-limits-commute-in-residual-networks-2302.00453"/></url>
<url><loc>https://scifaro.com/en/abs/robust-fitted-q-evaluation-and-iteration-under-sequentially-exogenous-unobserved-confounders-2302.00662</loc><lastmod>2025-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-fitted-q-evaluation-and-iteration-under-sequentially-exogenous-unobserved-confounders-2302.00662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-fitted-q-evaluation-and-iteration-under-sequentially-exogenous-unobserved-confounders-2302.00662"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-shrinkage-gaussian-processes-applications-to-computer-code-emulation-and-dynamical-system-recovery-2302.00755</loc><lastmod>2023-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-shrinkage-gaussian-processes-applications-to-computer-code-emulation-and-dynamical-system-recovery-2302.00755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-shrinkage-gaussian-processes-applications-to-computer-code-emulation-and-dynamical-system-recovery-2302.00755"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-causal-mechanisms-with-diffusion-models-for-interventional-and-counterfactual-queries-2302.00860</loc><lastmod>2024-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-causal-mechanisms-with-diffusion-models-for-interventional-and-counterfactual-queries-2302.00860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-causal-mechanisms-with-diffusion-models-for-interventional-and-counterfactual-queries-2302.00860"/></url>
<url><loc>https://scifaro.com/en/abs/the-contextual-lasso-sparse-linear-models-via-deep-neural-networks-2302.00878</loc><lastmod>2024-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-contextual-lasso-sparse-linear-models-via-deep-neural-networks-2302.00878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-contextual-lasso-sparse-linear-models-via-deep-neural-networks-2302.00878"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-expectation-with-regularization-for-missing-data-imputation-2302.00911</loc><lastmod>2023-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-expectation-with-regularization-for-missing-data-imputation-2302.00911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-expectation-with-regularization-for-missing-data-imputation-2302.00911"/></url>
<url><loc>https://scifaro.com/en/abs/a-light-weight-cnn-model-for-efficient-parkinson-s-disease-diagnostics-2302.00973</loc><lastmod>2023-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-light-weight-cnn-model-for-efficient-parkinson-s-disease-diagnostics-2302.00973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-light-weight-cnn-model-for-efficient-parkinson-s-disease-diagnostics-2302.00973"/></url>
<url><loc>https://scifaro.com/en/abs/unpaired-multi-domain-causal-representation-learning-2302.00993</loc><lastmod>2023-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unpaired-multi-domain-causal-representation-learning-2302.00993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unpaired-multi-domain-causal-representation-learning-2302.00993"/></url>
<url><loc>https://scifaro.com/en/abs/over-parameterised-shallow-neural-networks-with-asymmetrical-node-scaling-global-convergence-guarantees-and-feature-learning-2302.01002</loc><lastmod>2025-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/over-parameterised-shallow-neural-networks-with-asymmetrical-node-scaling-global-convergence-guarantees-and-feature-learning-2302.01002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/over-parameterised-shallow-neural-networks-with-asymmetrical-node-scaling-global-convergence-guarantees-and-feature-learning-2302.01002"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-prior-wavelet-neural-operator-for-uncertainty-quantification-2302.01051</loc><lastmod>2023-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-prior-wavelet-neural-operator-for-uncertainty-quantification-2302.01051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-prior-wavelet-neural-operator-for-uncertainty-quantification-2302.01051"/></url>
<url><loc>https://scifaro.com/en/abs/monoflow-rethinking-divergence-gans-via-the-perspective-of-wasserstein-gradient-flows-2302.01075</loc><lastmod>2023-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monoflow-rethinking-divergence-gans-via-the-perspective-of-wasserstein-gradient-flows-2302.01075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monoflow-rethinking-divergence-gans-via-the-perspective-of-wasserstein-gradient-flows-2302.01075"/></url>
<url><loc>https://scifaro.com/en/abs/timewarp-transferable-acceleration-of-molecular-dynamics-by-learning-time-coarsened-dynamics-2302.01170</loc><lastmod>2023-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/timewarp-transferable-acceleration-of-molecular-dynamics-by-learning-time-coarsened-dynamics-2302.01170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/timewarp-transferable-acceleration-of-molecular-dynamics-by-learning-time-coarsened-dynamics-2302.01170"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-efficacy-of-differentially-private-few-shot-image-classification-2302.01190</loc><lastmod>2023-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-efficacy-of-differentially-private-few-shot-image-classification-2302.01190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-efficacy-of-differentially-private-few-shot-image-classification-2302.01190"/></url>
<url><loc>https://scifaro.com/en/abs/a-theoretical-justification-for-image-inpainting-using-denoising-diffusion-probabilistic-models-2302.01217</loc><lastmod>2023-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theoretical-justification-for-image-inpainting-using-denoising-diffusion-probabilistic-models-2302.01217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theoretical-justification-for-image-inpainting-using-denoising-diffusion-probabilistic-models-2302.01217"/></url>
<url><loc>https://scifaro.com/en/abs/robust-estimation-under-the-wasserstein-distance-2302.01237</loc><lastmod>2024-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-estimation-under-the-wasserstein-distance-2302.01237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-estimation-under-the-wasserstein-distance-2302.01237"/></url>
<url><loc>https://scifaro.com/en/abs/robust-markov-decision-processes-without-model-estimation-2302.01248</loc><lastmod>2023-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-markov-decision-processes-without-model-estimation-2302.01248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-markov-decision-processes-without-model-estimation-2302.01248"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-gradient-for-multi-objective-bayesian-optimization-with-decoupled-evaluations-2302.01310</loc><lastmod>2025-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-gradient-for-multi-objective-bayesian-optimization-with-decoupled-evaluations-2302.01310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-gradient-for-multi-objective-bayesian-optimization-with-decoupled-evaluations-2302.01310"/></url>
<url><loc>https://scifaro.com/en/abs/augmented-learning-of-heterogeneous-treatment-effects-via-gradient-boosting-trees-2302.01367</loc><lastmod>2023-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmented-learning-of-heterogeneous-treatment-effects-via-gradient-boosting-trees-2302.01367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmented-learning-of-heterogeneous-treatment-effects-via-gradient-boosting-trees-2302.01367"/></url>
<url><loc>https://scifaro.com/en/abs/support-recovery-in-sparse-pca-with-non-random-missing-data-2302.01535</loc><lastmod>2023-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/support-recovery-in-sparse-pca-with-non-random-missing-data-2302.01535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/support-recovery-in-sparse-pca-with-non-random-missing-data-2302.01535"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-the-universal-law-of-robustness-sharper-laws-for-random-features-and-neural-tangent-kernels-2302.01629</loc><lastmod>2023-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-the-universal-law-of-robustness-sharper-laws-for-random-features-and-neural-tangent-kernels-2302.01629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-the-universal-law-of-robustness-sharper-laws-for-random-features-and-neural-tangent-kernels-2302.01629"/></url>
<url><loc>https://scifaro.com/en/abs/assessment-of-spatio-temporal-predictors-in-the-presence-of-missing-and-heterogeneous-data-2302.01701</loc><lastmod>2026-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessment-of-spatio-temporal-predictors-in-the-presence-of-missing-and-heterogeneous-data-2302.01701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessment-of-spatio-temporal-predictors-in-the-presence-of-missing-and-heterogeneous-data-2302.01701"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-a-probabilistic-pca-model-to-understand-the-multivariate-statistical-network-monitoring-framework-for-network-security-anomaly-detection-2302.01759</loc><lastmod>2023-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-a-probabilistic-pca-model-to-understand-the-multivariate-statistical-network-monitoring-framework-for-network-security-anomaly-detection-2302.01759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-a-probabilistic-pca-model-to-understand-the-multivariate-statistical-network-monitoring-framework-for-network-security-anomaly-detection-2302.01759"/></url>
<url><loc>https://scifaro.com/en/abs/using-explainability-to-inform-statistical-downscaling-based-on-deep-learning-beyond-standard-validation-approaches-2302.01771</loc><lastmod>2023-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-explainability-to-inform-statistical-downscaling-based-on-deep-learning-beyond-standard-validation-approaches-2302.01771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-explainability-to-inform-statistical-downscaling-based-on-deep-learning-beyond-standard-validation-approaches-2302.01771"/></url>
<url><loc>https://scifaro.com/en/abs/on-a-continuous-time-model-of-gradient-descent-dynamics-and-instability-in-deep-learning-2302.01952</loc><lastmod>2023-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-a-continuous-time-model-of-gradient-descent-dynamics-and-instability-in-deep-learning-2302.01952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-a-continuous-time-model-of-gradient-descent-dynamics-and-instability-in-deep-learning-2302.01952"/></url>
<url><loc>https://scifaro.com/en/abs/an-asymptotically-optimal-algorithm-for-the-convex-hull-membership-problem-2302.02033</loc><lastmod>2024-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-asymptotically-optimal-algorithm-for-the-convex-hull-membership-problem-2302.02033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-asymptotically-optimal-algorithm-for-the-convex-hull-membership-problem-2302.02033"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-identifiability-of-bijective-causal-models-2302.02228</loc><lastmod>2023-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-identifiability-of-bijective-causal-models-2302.02228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-identifiability-of-bijective-causal-models-2302.02228"/></url>
<url><loc>https://scifaro.com/en/abs/pre-screening-breast-cancer-with-machine-learning-and-deep-learning-2302.02406</loc><lastmod>2023-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pre-screening-breast-cancer-with-machine-learning-and-deep-learning-2302.02406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pre-screening-breast-cancer-with-machine-learning-and-deep-learning-2302.02406"/></url>
<url><loc>https://scifaro.com/en/abs/tighter-information-theoretic-generalization-bounds-from-supersamples-2302.02432</loc><lastmod>2023-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tighter-information-theoretic-generalization-bounds-from-supersamples-2302.02432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tighter-information-theoretic-generalization-bounds-from-supersamples-2302.02432"/></url>
<url><loc>https://scifaro.com/en/abs/know-grow-and-protect-net-worth-using-ml-for-asset-protection-by-preventing-overdraft-fees-2302.02455</loc><lastmod>2024-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/know-grow-and-protect-net-worth-using-ml-for-asset-protection-by-preventing-overdraft-fees-2302.02455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/know-grow-and-protect-net-worth-using-ml-for-asset-protection-by-preventing-overdraft-fees-2302.02455"/></url>
<url><loc>https://scifaro.com/en/abs/random-forests-for-time-fixed-and-time-dependent-predictors-the-dynforest-r-package-2302.02670</loc><lastmod>2024-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-forests-for-time-fixed-and-time-dependent-predictors-the-dynforest-r-package-2302.02670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-forests-for-time-fixed-and-time-dependent-predictors-the-dynforest-r-package-2302.02670"/></url>
<url><loc>https://scifaro.com/en/abs/identifiability-of-latent-variable-and-structural-equation-models-from-linear-to-nonlinear-2302.02672</loc><lastmod>2023-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifiability-of-latent-variable-and-structural-equation-models-from-linear-to-nonlinear-2302.02672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifiability-of-latent-variable-and-structural-equation-models-from-linear-to-nonlinear-2302.02672"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-with-data-dependent-fractal-dimensions-2302.02766</loc><lastmod>2023-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-with-data-dependent-fractal-dimensions-2302.02766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-with-data-dependent-fractal-dimensions-2302.02766"/></url>
<url><loc>https://scifaro.com/en/abs/the-ssl-interplay-augmentations-inductive-bias-and-generalization-2302.02774</loc><lastmod>2023-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-ssl-interplay-augmentations-inductive-bias-and-generalization-2302.02774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-ssl-interplay-augmentations-inductive-bias-and-generalization-2302.02774"/></url>
<url><loc>https://scifaro.com/en/abs/in-search-of-insights-not-magic-bullets-towards-demystification-of-the-model-selection-dilemma-in-heterogeneous-treatment-effect-estimation-2302.02923</loc><lastmod>2023-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/in-search-of-insights-not-magic-bullets-towards-demystification-of-the-model-selection-dilemma-in-heterogeneous-treatment-effect-estimation-2302.02923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/in-search-of-insights-not-magic-bullets-towards-demystification-of-the-model-selection-dilemma-in-heterogeneous-treatment-effect-estimation-2302.02923"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-based-accuracy-testing-of-posterior-estimators-for-general-inference-2302.03026</loc><lastmod>2023-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-based-accuracy-testing-of-posterior-estimators-for-general-inference-2302.03026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-based-accuracy-testing-of-posterior-estimators-for-general-inference-2302.03026"/></url>
<url><loc>https://scifaro.com/en/abs/federated-variational-inference-methods-for-structured-latent-variable-models-2302.03314</loc><lastmod>2023-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-variational-inference-methods-for-structured-latent-variable-models-2302.03314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-variational-inference-methods-for-structured-latent-variable-models-2302.03314"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-and-geometry-aware-generalisation-of-the-mutual-information-for-joint-discriminative-clustering-and-feature-selection-2302.03391</loc><lastmod>2024-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-and-geometry-aware-generalisation-of-the-mutual-information-for-joint-discriminative-clustering-and-feature-selection-2302.03391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-and-geometry-aware-generalisation-of-the-mutual-information-for-joint-discriminative-clustering-and-feature-selection-2302.03391"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-recipe-for-deriving-time-uniform-pac-bayes-bounds-2302.03421</loc><lastmod>2024-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-recipe-for-deriving-time-uniform-pac-bayes-bounds-2302.03421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-recipe-for-deriving-time-uniform-pac-bayes-bounds-2302.03421"/></url>
<url><loc>https://scifaro.com/en/abs/oporp-one-permutation-one-random-projection-2302.03505</loc><lastmod>2023-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/oporp-one-permutation-one-random-projection-2302.03505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/oporp-one-permutation-one-random-projection-2302.03505"/></url>
<url><loc>https://scifaro.com/en/abs/sketchy-memory-efficient-adaptive-regularization-with-frequent-directions-2302.03764</loc><lastmod>2023-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sketchy-memory-efficient-adaptive-regularization-with-frequent-directions-2302.03764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sketchy-memory-efficient-adaptive-regularization-with-frequent-directions-2302.03764"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-trust-your-diffusion-model-a-convex-optimization-approach-to-conformal-risk-control-2302.03791</loc><lastmod>2023-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-trust-your-diffusion-model-a-convex-optimization-approach-to-conformal-risk-control-2302.03791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-trust-your-diffusion-model-a-convex-optimization-approach-to-conformal-risk-control-2302.03791"/></url>
<url><loc>https://scifaro.com/en/abs/fast-linear-model-trees-by-pilot-2302.03931</loc><lastmod>2024-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-linear-model-trees-by-pilot-2302.03931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-linear-model-trees-by-pilot-2302.03931"/></url>
<url><loc>https://scifaro.com/en/abs/monge-bregman-and-occam-interpretable-optimal-transport-in-high-dimensions-with-feature-sparse-maps-2302.04065</loc><lastmod>2023-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monge-bregman-and-occam-interpretable-optimal-transport-in-high-dimensions-with-feature-sparse-maps-2302.04065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monge-bregman-and-occam-interpretable-optimal-transport-in-high-dimensions-with-feature-sparse-maps-2302.04065"/></url>
<url><loc>https://scifaro.com/en/abs/decision-trees-compensate-for-model-misspecification-2302.04081</loc><lastmod>2023-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decision-trees-compensate-for-model-misspecification-2302.04081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decision-trees-compensate-for-model-misspecification-2302.04081"/></url>
<url><loc>https://scifaro.com/en/abs/irtci-item-response-theory-for-categorical-imputation-2302.04165</loc><lastmod>2023-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/irtci-item-response-theory-for-categorical-imputation-2302.04165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/irtci-item-response-theory-for-categorical-imputation-2302.04165"/></url>
<url><loc>https://scifaro.com/en/abs/learning-dynamical-systems-by-leveraging-data-from-similar-systems-2302.04344</loc><lastmod>2025-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-dynamical-systems-by-leveraging-data-from-similar-systems-2302.04344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-dynamical-systems-by-leveraging-data-from-similar-systems-2302.04344"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-interpretable-lagrangian-of-dynamical-systems-from-data-2302.04400</loc><lastmod>2023-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-interpretable-lagrangian-of-dynamical-systems-from-data-2302.04400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-interpretable-lagrangian-of-dynamical-systems-from-data-2302.04400"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretical-importance-sampling-clustering-2302.04421</loc><lastmod>2023-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretical-importance-sampling-clustering-2302.04421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretical-importance-sampling-clustering-2302.04421"/></url>
<url><loc>https://scifaro.com/en/abs/rmultinet-an-r-package-for-multilayer-networks-analysis-2302.04437</loc><lastmod>2023-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rmultinet-an-r-package-for-multilayer-networks-analysis-2302.04437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rmultinet-an-r-package-for-multilayer-networks-analysis-2302.04437"/></url>
<url><loc>https://scifaro.com/en/abs/an-information-theoretic-learning-model-based-on-importance-sampling-2302.04438</loc><lastmod>2023-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-information-theoretic-learning-model-based-on-importance-sampling-2302.04438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-information-theoretic-learning-model-based-on-importance-sampling-2302.04438"/></url>
<url><loc>https://scifaro.com/en/abs/introduction-to-gaussian-process-regression-in-bayesian-inverse-problems-with-new-resultson-experimental-design-for-weighted-error-measures-2302.04518</loc><lastmod>2023-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introduction-to-gaussian-process-regression-in-bayesian-inverse-problems-with-new-resultson-experimental-design-for-weighted-error-measures-2302.04518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introduction-to-gaussian-process-regression-in-bayesian-inverse-problems-with-new-resultson-experimental-design-for-weighted-error-measures-2302.04518"/></url>
<url><loc>https://scifaro.com/en/abs/the-sample-complexity-of-approximate-rejection-sampling-with-applications-to-smoothed-online-learning-2302.04658</loc><lastmod>2024-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-sample-complexity-of-approximate-rejection-sampling-with-applications-to-smoothed-online-learning-2302.04658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-sample-complexity-of-approximate-rejection-sampling-with-applications-to-smoothed-online-learning-2302.04658"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-scalable-bayesian-online-changepoint-detection-2302.04759</loc><lastmod>2023-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-scalable-bayesian-online-changepoint-detection-2302.04759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-scalable-bayesian-online-changepoint-detection-2302.04759"/></url>
<url><loc>https://scifaro.com/en/abs/on-sampling-with-approximate-transport-maps-2302.04763</loc><lastmod>2024-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-sampling-with-approximate-transport-maps-2302.04763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-sampling-with-approximate-transport-maps-2302.04763"/></url>
<url><loc>https://scifaro.com/en/abs/trading-information-between-latents-in-hierarchical-variational-autoencoders-2302.04855</loc><lastmod>2023-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trading-information-between-latents-in-hierarchical-variational-autoencoders-2302.04855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trading-information-between-latents-in-hierarchical-variational-autoencoders-2302.04855"/></url>
<url><loc>https://scifaro.com/en/abs/hessian-based-smoothing-splines-for-manifold-learning-2302.05025</loc><lastmod>2023-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hessian-based-smoothing-splines-for-manifold-learning-2302.05025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hessian-based-smoothing-splines-for-manifold-learning-2302.05025"/></url>
<url><loc>https://scifaro.com/en/abs/star-shaped-denoising-diffusion-probabilistic-models-2302.05259</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/star-shaped-denoising-diffusion-probabilistic-models-2302.05259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/star-shaped-denoising-diffusion-probabilistic-models-2302.05259"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-generalized-canonical-correlation-analysis-2302.05277</loc><lastmod>2023-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-generalized-canonical-correlation-analysis-2302.05277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-generalized-canonical-correlation-analysis-2302.05277"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-instrumental-variable-regression-and-l-2-convergence-guarantees-without-identification-or-closedness-2302.05404</loc><lastmod>2023-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-instrumental-variable-regression-and-l-2-convergence-guarantees-without-identification-or-closedness-2302.05404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-instrumental-variable-regression-and-l-2-convergence-guarantees-without-identification-or-closedness-2302.05404"/></url>
<url><loc>https://scifaro.com/en/abs/oracle-efficient-smoothed-online-learning-for-piecewise-continuous-decision-making-2302.05430</loc><lastmod>2024-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/oracle-efficient-smoothed-online-learning-for-piecewise-continuous-decision-making-2302.05430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/oracle-efficient-smoothed-online-learning-for-piecewise-continuous-decision-making-2302.05430"/></url>
<url><loc>https://scifaro.com/en/abs/nesterov-acceleration-despite-very-noisy-gradients-2302.05515</loc><lastmod>2024-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nesterov-acceleration-despite-very-noisy-gradients-2302.05515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nesterov-acceleration-despite-very-noisy-gradients-2302.05515"/></url>
<url><loc>https://scifaro.com/en/abs/cyclic-and-randomized-stepsizes-invoke-heavier-tails-in-sgd-than-constant-stepsize-2302.05516</loc><lastmod>2023-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cyclic-and-randomized-stepsizes-invoke-heavier-tails-in-sgd-than-constant-stepsize-2302.05516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cyclic-and-randomized-stepsizes-invoke-heavier-tails-in-sgd-than-constant-stepsize-2302.05516"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-normalizing-flows-for-density-estimation-data-synthesis-and-variational-inference-with-application-to-electronic-health-records-2302.05787</loc><lastmod>2023-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-normalizing-flows-for-density-estimation-data-synthesis-and-variational-inference-with-application-to-electronic-health-records-2302.05787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-normalizing-flows-for-density-estimation-data-synthesis-and-variational-inference-with-application-to-electronic-health-records-2302.05787"/></url>
<url><loc>https://scifaro.com/en/abs/global-convergence-rate-of-deep-equilibrium-models-with-general-activations-2302.05797</loc><lastmod>2025-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-convergence-rate-of-deep-equilibrium-models-with-general-activations-2302.05797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-convergence-rate-of-deep-equilibrium-models-with-general-activations-2302.05797"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-orthogonalized-tensor-deflation-via-random-tensor-theory-2302.05798</loc><lastmod>2023-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-orthogonalized-tensor-deflation-via-random-tensor-theory-2302.05798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-orthogonalized-tensor-deflation-via-random-tensor-theory-2302.05798"/></url>
<url><loc>https://scifaro.com/en/abs/from-high-dimensional-mean-field-dynamics-to-dimensionless-odes-a-unifying-approach-to-sgd-in-two-layers-networks-2302.05882</loc><lastmod>2023-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-high-dimensional-mean-field-dynamics-to-dimensionless-odes-a-unifying-approach-to-sgd-in-two-layers-networks-2302.05882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-high-dimensional-mean-field-dynamics-to-dimensionless-odes-a-unifying-approach-to-sgd-in-two-layers-networks-2302.05882"/></url>
<url><loc>https://scifaro.com/en/abs/an-unsupervised-learning-approach-for-predicting-wind-farm-power-and-downstream-wakes-using-weather-patterns-2302.05886</loc><lastmod>2023-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-unsupervised-learning-approach-for-predicting-wind-farm-power-and-downstream-wakes-using-weather-patterns-2302.05886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-unsupervised-learning-approach-for-predicting-wind-farm-power-and-downstream-wakes-using-weather-patterns-2302.05886"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-fraud-detection-using-deep-boosting-decision-trees-2302.05918</loc><lastmod>2023-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-fraud-detection-using-deep-boosting-decision-trees-2302.05918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-fraud-detection-using-deep-boosting-decision-trees-2302.05918"/></url>
<url><loc>https://scifaro.com/en/abs/physics-informed-wno-2302.05925</loc><lastmod>2023-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-wno-2302.05925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-wno-2302.05925"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-ability-of-wide-neural-networks-on-mathbb-r-2302.05933</loc><lastmod>2023-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-ability-of-wide-neural-networks-on-mathbb-r-2302.05933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-ability-of-wide-neural-networks-on-mathbb-r-2302.05933"/></url>
<url><loc>https://scifaro.com/en/abs/recursive-estimation-of-conditional-kernel-mean-embeddings-2302.05955</loc><lastmod>2024-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recursive-estimation-of-conditional-kernel-mean-embeddings-2302.05955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recursive-estimation-of-conditional-kernel-mean-embeddings-2302.05955"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-complexity-and-optimal-algorithms-for-non-linear-ridge-bandits-2302.06025</loc><lastmod>2024-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-complexity-and-optimal-algorithms-for-non-linear-ridge-bandits-2302.06025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-complexity-and-optimal-algorithms-for-non-linear-ridge-bandits-2302.06025"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bayesian-neural-networks-via-resolution-of-singularities-2302.06035</loc><lastmod>2023-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayesian-neural-networks-via-resolution-of-singularities-2302.06035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayesian-neural-networks-via-resolution-of-singularities-2302.06035"/></url>
<url><loc>https://scifaro.com/en/abs/isotopic-envelope-identification-by-analysis-of-the-spatial-distribution-of-components-in-maldi-msi-data-2302.06051</loc><lastmod>2023-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/isotopic-envelope-identification-by-analysis-of-the-spatial-distribution-of-components-in-maldi-msi-data-2302.06051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/isotopic-envelope-identification-by-analysis-of-the-spatial-distribution-of-components-in-maldi-msi-data-2302.06051"/></url>
<url><loc>https://scifaro.com/en/abs/precise-asymptotic-analysis-of-deep-random-feature-models-2302.06210</loc><lastmod>2023-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/precise-asymptotic-analysis-of-deep-random-feature-models-2302.06210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/precise-asymptotic-analysis-of-deep-random-feature-models-2302.06210"/></url>
<url><loc>https://scifaro.com/en/abs/one-shot-federated-conformal-prediction-2302.06322</loc><lastmod>2023-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-shot-federated-conformal-prediction-2302.06322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-shot-federated-conformal-prediction-2302.06322"/></url>
<url><loc>https://scifaro.com/en/abs/incorporating-expert-opinion-on-observable-quantities-into-statistical-models-a-general-framework-2302.06391</loc><lastmod>2023-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incorporating-expert-opinion-on-observable-quantities-into-statistical-models-a-general-framework-2302.06391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incorporating-expert-opinion-on-observable-quantities-into-statistical-models-a-general-framework-2302.06391"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-uniform-smoothness-a-stopped-analysis-of-adaptive-sgd-2302.06570</loc><lastmod>2023-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-uniform-smoothness-a-stopped-analysis-of-adaptive-sgd-2302.06570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-uniform-smoothness-a-stopped-analysis-of-adaptive-sgd-2302.06570"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-algorithms-for-the-inhomogeneous-spiked-wigner-model-2302.06665</loc><lastmod>2023-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-algorithms-for-the-inhomogeneous-spiked-wigner-model-2302.06665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-algorithms-for-the-inhomogeneous-spiked-wigner-model-2302.06665"/></url>
<url><loc>https://scifaro.com/en/abs/kernelized-diffusion-maps-2302.06757</loc><lastmod>2023-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernelized-diffusion-maps-2302.06757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernelized-diffusion-maps-2302.06757"/></url>
<url><loc>https://scifaro.com/en/abs/horospherical-decision-boundaries-for-large-margin-classification-in-hyperbolic-space-2302.06807</loc><lastmod>2023-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/horospherical-decision-boundaries-for-large-margin-classification-in-hyperbolic-space-2302.06807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/horospherical-decision-boundaries-for-large-margin-classification-in-hyperbolic-space-2302.06807"/></url>
<url><loc>https://scifaro.com/en/abs/concentration-bounds-for-discrete-distribution-estimation-in-kl-divergence-2302.06869</loc><lastmod>2023-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concentration-bounds-for-discrete-distribution-estimation-in-kl-divergence-2302.06869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concentration-bounds-for-discrete-distribution-estimation-in-kl-divergence-2302.06869"/></url>
<url><loc>https://scifaro.com/en/abs/learning-graph-arma-processes-from-time-vertex-spectra-2302.06887</loc><lastmod>2023-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-graph-arma-processes-from-time-vertex-spectra-2302.06887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-graph-arma-processes-from-time-vertex-spectra-2302.06887"/></url>
<url><loc>https://scifaro.com/en/abs/private-statistical-estimation-of-many-quantiles-2302.06943</loc><lastmod>2023-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-statistical-estimation-of-many-quantiles-2302.06943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-statistical-estimation-of-many-quantiles-2302.06943"/></url>
<url><loc>https://scifaro.com/en/abs/data-pruning-and-neural-scaling-laws-fundamental-limitations-of-score-based-algorithms-2302.06960</loc><lastmod>2023-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-pruning-and-neural-scaling-laws-fundamental-limitations-of-score-based-algorithms-2302.06960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-pruning-and-neural-scaling-laws-fundamental-limitations-of-score-based-algorithms-2302.06960"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-rewards-in-universal-learning-for-contextual-bandits-2302.07186</loc><lastmod>2023-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-rewards-in-universal-learning-for-contextual-bandits-2302.07186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-rewards-in-universal-learning-for-contextual-bandits-2302.07186"/></url>
<url><loc>https://scifaro.com/en/abs/on-classification-calibration-of-gamma-phi-losses-2302.07321</loc><lastmod>2023-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-classification-calibration-of-gamma-phi-losses-2302.07321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-classification-calibration-of-gamma-phi-losses-2302.07321"/></url>
<url><loc>https://scifaro.com/en/abs/variable-selection-for-kernel-two-sample-tests-2302.07415</loc><lastmod>2024-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-selection-for-kernel-two-sample-tests-2302.07415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-selection-for-kernel-two-sample-tests-2302.07415"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-the-usability-gap-theoretical-and-methodological-advances-for-spectral-learning-of-hidden-markov-models-2302.07437</loc><lastmod>2024-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-the-usability-gap-theoretical-and-methodological-advances-for-spectral-learning-of-hidden-markov-models-2302.07437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-the-usability-gap-theoretical-and-methodological-advances-for-spectral-learning-of-hidden-markov-models-2302.07437"/></url>
<url><loc>https://scifaro.com/en/abs/excess-risk-bound-for-deep-learning-under-weak-dependence-2302.07503</loc><lastmod>2023-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/excess-risk-bound-for-deep-learning-under-weak-dependence-2302.07503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/excess-risk-bound-for-deep-learning-under-weak-dependence-2302.07503"/></url>
<url><loc>https://scifaro.com/en/abs/are-labels-informative-in-semi-supervised-learning-estimating-and-leveraging-the-missing-data-mechanism-2302.07540</loc><lastmod>2023-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-labels-informative-in-semi-supervised-learning-estimating-and-leveraging-the-missing-data-mechanism-2302.07540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-labels-informative-in-semi-supervised-learning-estimating-and-leveraging-the-missing-data-mechanism-2302.07540"/></url>
<url><loc>https://scifaro.com/en/abs/on-rank-energy-statistics-via-optimal-transport-continuity-convergence-and-change-point-detection-2302.07964</loc><lastmod>2023-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-rank-energy-statistics-via-optimal-transport-continuity-convergence-and-change-point-detection-2302.07964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-rank-energy-statistics-via-optimal-transport-continuity-convergence-and-change-point-detection-2302.07964"/></url>
<url><loc>https://scifaro.com/en/abs/a-weighted-subspace-exponential-kernel-for-support-tensor-machines-2302.08134</loc><lastmod>2023-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-weighted-subspace-exponential-kernel-for-support-tensor-machines-2302.08134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-weighted-subspace-exponential-kernel-for-support-tensor-machines-2302.08134"/></url>
<url><loc>https://scifaro.com/en/abs/theory-and-implementation-of-complex-valued-neural-networks-2302.08286</loc><lastmod>2023-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theory-and-implementation-of-complex-valued-neural-networks-2302.08286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theory-and-implementation-of-complex-valued-neural-networks-2302.08286"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-selective-sampling-for-online-prediction-with-experts-2302.08397</loc><lastmod>2023-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-selective-sampling-for-online-prediction-with-experts-2302.08397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-selective-sampling-for-online-prediction-with-experts-2302.08397"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-limit-performance-of-floating-gossip-2302.08413</loc><lastmod>2023-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-limit-performance-of-floating-gossip-2302.08413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-limit-performance-of-floating-gossip-2302.08413"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-graph-neural-networks-for-irregular-data-2302.08415</loc><lastmod>2023-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-graph-neural-networks-for-irregular-data-2302.08415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-graph-neural-networks-for-irregular-data-2302.08415"/></url>
<url><loc>https://scifaro.com/en/abs/trieste-efficiently-exploring-the-depths-of-black-box-functions-with-tensorflow-2302.08436</loc><lastmod>2023-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trieste-efficiently-exploring-the-depths-of-black-box-functions-with-tensorflow-2302.08436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trieste-efficiently-exploring-the-depths-of-black-box-functions-with-tensorflow-2302.08436"/></url>
<url><loc>https://scifaro.com/en/abs/gp-cc-opf-gaussian-process-based-optimization-tool-for-chance-constrained-optimal-power-flow-2302.08454</loc><lastmod>2023-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gp-cc-opf-gaussian-process-based-optimization-tool-for-chance-constrained-optimal-power-flow-2302.08454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gp-cc-opf-gaussian-process-based-optimization-tool-for-chance-constrained-optimal-power-flow-2302.08454"/></url>
<url><loc>https://scifaro.com/en/abs/intrinsic-and-extrinsic-deep-learning-on-manifolds-2302.08606</loc><lastmod>2023-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrinsic-and-extrinsic-deep-learning-on-manifolds-2302.08606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrinsic-and-extrinsic-deep-learning-on-manifolds-2302.08606"/></url>
<url><loc>https://scifaro.com/en/abs/piecewise-deterministic-markov-processes-for-bayesian-neural-networks-2302.08724</loc><lastmod>2026-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/piecewise-deterministic-markov-processes-for-bayesian-neural-networks-2302.08724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/piecewise-deterministic-markov-processes-for-bayesian-neural-networks-2302.08724"/></url>
<url><loc>https://scifaro.com/en/abs/a-lower-bound-and-a-near-optimal-algorithm-for-bilevel-empirical-risk-minimization-2302.08766</loc><lastmod>2024-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-lower-bound-and-a-near-optimal-algorithm-for-bilevel-empirical-risk-minimization-2302.08766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-lower-bound-and-a-near-optimal-algorithm-for-bilevel-empirical-risk-minimization-2302.08766"/></url>
<url><loc>https://scifaro.com/en/abs/graphical-estimation-of-multivariate-count-time-series-2302.08801</loc><lastmod>2023-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphical-estimation-of-multivariate-count-time-series-2302.08801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphical-estimation-of-multivariate-count-time-series-2302.08801"/></url>
<url><loc>https://scifaro.com/en/abs/learnable-topological-features-for-phylogenetic-inference-via-graph-neural-networks-2302.08840</loc><lastmod>2023-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learnable-topological-features-for-phylogenetic-inference-via-graph-neural-networks-2302.08840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learnable-topological-features-for-phylogenetic-inference-via-graph-neural-networks-2302.08840"/></url>
<url><loc>https://scifaro.com/en/abs/post-reinforcement-learning-inference-2302.08854</loc><lastmod>2025-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/post-reinforcement-learning-inference-2302.08854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/post-reinforcement-learning-inference-2302.08854"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-training-of-mean-variance-estimation-neural-networks-2302.08875</loc><lastmod>2023-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-training-of-mean-variance-estimation-neural-networks-2302.08875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-training-of-mean-variance-estimation-neural-networks-2302.08875"/></url>
<url><loc>https://scifaro.com/en/abs/approximately-bayes-optimal-pseudo-label-selection-2302.08883</loc><lastmod>2023-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximately-bayes-optimal-pseudo-label-selection-2302.08883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximately-bayes-optimal-pseudo-label-selection-2302.08883"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-data-streams-a-survey-2302.08893</loc><lastmod>2023-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-data-streams-a-survey-2302.08893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-data-streams-a-survey-2302.08893"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-quantification-with-black-box-estimators-2302.09159</loc><lastmod>2024-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-quantification-with-black-box-estimators-2302.09159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-quantification-with-black-box-estimators-2302.09159"/></url>
<url><loc>https://scifaro.com/en/abs/the-shrinkage-delinkage-trade-off-an-analysis-of-factorized-gaussian-approximations-for-variational-inference-2302.09163</loc><lastmod>2023-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-shrinkage-delinkage-trade-off-an-analysis-of-factorized-gaussian-approximations-for-variational-inference-2302.09163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-shrinkage-delinkage-trade-off-an-analysis-of-factorized-gaussian-approximations-for-variational-inference-2302.09163"/></url>
<url><loc>https://scifaro.com/en/abs/copula-based-transferable-models-for-synthetic-population-generation-2302.09193</loc><lastmod>2024-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/copula-based-transferable-models-for-synthetic-population-generation-2302.09193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/copula-based-transferable-models-for-synthetic-population-generation-2302.09193"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-and-stability-of-interpolating-neural-networks-with-minimal-width-2302.09235</loc><lastmod>2023-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-and-stability-of-interpolating-neural-networks-with-minimal-width-2302.09235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-and-stability-of-interpolating-neural-networks-with-minimal-width-2302.09235"/></url>
<url><loc>https://scifaro.com/en/abs/data-augmentation-for-imbalanced-regression-2302.09288</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-augmentation-for-imbalanced-regression-2302.09288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-augmentation-for-imbalanced-regression-2302.09288"/></url>
<url><loc>https://scifaro.com/en/abs/why-is-parameter-averaging-beneficial-in-sgd-an-objective-smoothing-perspective-2302.09376</loc><lastmod>2024-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-is-parameter-averaging-beneficial-in-sgd-an-objective-smoothing-perspective-2302.09376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-is-parameter-averaging-beneficial-in-sgd-an-objective-smoothing-perspective-2302.09376"/></url>
<url><loc>https://scifaro.com/en/abs/rank-minimizing-and-structured-model-inference-2302.09521</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rank-minimizing-and-structured-model-inference-2302.09521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rank-minimizing-and-structured-model-inference-2302.09521"/></url>
<url><loc>https://scifaro.com/en/abs/non-separable-covariance-kernels-for-spatiotemporal-gaussian-processes-based-on-a-hybrid-spectral-method-and-the-harmonic-oscillator-2302.09580</loc><lastmod>2024-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-separable-covariance-kernels-for-spatiotemporal-gaussian-processes-based-on-a-hybrid-spectral-method-and-the-harmonic-oscillator-2302.09580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-separable-covariance-kernels-for-spatiotemporal-gaussian-processes-based-on-a-hybrid-spectral-method-and-the-harmonic-oscillator-2302.09580"/></url>
<url><loc>https://scifaro.com/en/abs/msam-micro-batch-averaged-sharpness-aware-minimization-2302.09693</loc><lastmod>2023-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/msam-micro-batch-averaged-sharpness-aware-minimization-2302.09693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/msam-micro-batch-averaged-sharpness-aware-minimization-2302.09693"/></url>
<url><loc>https://scifaro.com/en/abs/depth-degeneracy-in-neural-networks-vanishing-angles-in-fully-connected-relu-networks-on-initialization-2302.09712</loc><lastmod>2025-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/depth-degeneracy-in-neural-networks-vanishing-angles-in-fully-connected-relu-networks-on-initialization-2302.09712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/depth-degeneracy-in-neural-networks-vanishing-angles-in-fully-connected-relu-networks-on-initialization-2302.09712"/></url>
<url><loc>https://scifaro.com/en/abs/simplifying-momentum-based-positive-definite-submanifold-optimization-with-applications-to-deep-learning-2302.09738</loc><lastmod>2024-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simplifying-momentum-based-positive-definite-submanifold-optimization-with-applications-to-deep-learning-2302.09738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simplifying-momentum-based-positive-definite-submanifold-optimization-with-applications-to-deep-learning-2302.09738"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-stability-and-generalization-of-triplet-learning-2302.09815</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-stability-and-generalization-of-triplet-learning-2302.09815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-stability-and-generalization-of-triplet-learning-2302.09815"/></url>
<url><loc>https://scifaro.com/en/abs/transductive-matrix-completion-with-calibration-for-multi-task-learning-2302.09834</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transductive-matrix-completion-with-calibration-for-multi-task-learning-2302.09834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transductive-matrix-completion-with-calibration-for-multi-task-learning-2302.09834"/></url>
<url><loc>https://scifaro.com/en/abs/nystr-om-m-hilbert-schmidt-independence-criterion-2302.09930</loc><lastmod>2025-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nystr-om-m-hilbert-schmidt-independence-criterion-2302.09930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nystr-om-m-hilbert-schmidt-independence-criterion-2302.09930"/></url>
<url><loc>https://scifaro.com/en/abs/sketch-in-sketch-out-accelerating-both-learning-and-inference-for-structured-prediction-with-kernels-2302.10128</loc><lastmod>2024-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sketch-in-sketch-out-accelerating-both-learning-and-inference-for-structured-prediction-with-kernels-2302.10128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sketch-in-sketch-out-accelerating-both-learning-and-inference-for-structured-prediction-with-kernels-2302.10128"/></url>
<url><loc>https://scifaro.com/en/abs/infinite-dimensional-diffusion-models-2302.10130</loc><lastmod>2025-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infinite-dimensional-diffusion-models-2302.10130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infinite-dimensional-diffusion-models-2302.10130"/></url>
<url><loc>https://scifaro.com/en/abs/mean-parity-fair-regression-in-rkhs-2302.10409</loc><lastmod>2023-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-parity-fair-regression-in-rkhs-2302.10409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-parity-fair-regression-in-rkhs-2302.10409"/></url>
<url><loc>https://scifaro.com/en/abs/survlimepy-a-python-package-implementing-survlime-2302.10571</loc><lastmod>2023-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survlimepy-a-python-package-implementing-survlime-2302.10571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survlimepy-a-python-package-implementing-survlime-2302.10571"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-long-term-causal-effects-from-short-term-experiments-and-long-term-observational-data-with-unobserved-confounding-2302.10625</loc><lastmod>2023-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-long-term-causal-effects-from-short-term-experiments-and-long-term-observational-data-with-unobserved-confounding-2302.10625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-long-term-causal-effects-from-short-term-experiments-and-long-term-observational-data-with-unobserved-confounding-2302.10625"/></url>
<url><loc>https://scifaro.com/en/abs/density-ratio-estimation-and-neyman-pearson-classification-with-missing-data-2302.10655</loc><lastmod>2023-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/density-ratio-estimation-and-neyman-pearson-classification-with-missing-data-2302.10655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/density-ratio-estimation-and-neyman-pearson-classification-with-missing-data-2302.10655"/></url>
<url><loc>https://scifaro.com/en/abs/noise-augmented-ell-0-regularization-of-tensor-regression-with-tucker-decomposition-2302.10775</loc><lastmod>2024-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-augmented-ell-0-regularization-of-tensor-regression-with-tucker-decomposition-2302.10775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-augmented-ell-0-regularization-of-tensor-regression-with-tucker-decomposition-2302.10775"/></url>
<url><loc>https://scifaro.com/en/abs/valid-inference-for-machine-learning-model-parameters-2302.10840</loc><lastmod>2024-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/valid-inference-for-machine-learning-model-parameters-2302.10840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/valid-inference-for-machine-learning-model-parameters-2302.10840"/></url>
<url><loc>https://scifaro.com/en/abs/dealing-with-collinearity-in-large-scale-linear-system-identification-using-gaussian-regression-2302.10959</loc><lastmod>2023-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dealing-with-collinearity-in-large-scale-linear-system-identification-using-gaussian-regression-2302.10959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dealing-with-collinearity-in-large-scale-linear-system-identification-using-gaussian-regression-2302.10959"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-flows-for-sampling-mean-field-models-gaussian-approximations-and-affine-invariance-2302.11024</loc><lastmod>2024-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-flows-for-sampling-mean-field-models-gaussian-approximations-and-affine-invariance-2302.11024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-flows-for-sampling-mean-field-models-gaussian-approximations-and-affine-invariance-2302.11024"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-nystr-o-m-method-2302.11032</loc><lastmod>2023-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-nystr-o-m-method-2302.11032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-nystr-o-m-method-2302.11032"/></url>
<url><loc>https://scifaro.com/en/abs/error-estimation-for-random-fourier-features-2302.11174</loc><lastmod>2023-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-estimation-for-random-fourier-features-2302.11174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-estimation-for-random-fourier-features-2302.11174"/></url>
<url><loc>https://scifaro.com/en/abs/when-combinatorial-thompson-sampling-meets-approximation-regret-2302.11182</loc><lastmod>2023-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-combinatorial-thompson-sampling-meets-approximation-regret-2302.11182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-combinatorial-thompson-sampling-meets-approximation-regret-2302.11182"/></url>
<url><loc>https://scifaro.com/en/abs/quantized-low-rank-multivariate-regression-with-random-dithering-2302.11197</loc><lastmod>2023-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantized-low-rank-multivariate-regression-with-random-dithering-2302.11197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantized-low-rank-multivariate-regression-with-random-dithering-2302.11197"/></url>
<url><loc>https://scifaro.com/en/abs/distributional-learning-of-variational-autoencoder-application-to-synthetic-data-generation-2302.11294</loc><lastmod>2023-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributional-learning-of-variational-autoencoder-application-to-synthetic-data-generation-2302.11294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributional-learning-of-variational-autoencoder-application-to-synthetic-data-generation-2302.11294"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-towards-efficient-data-valuation-based-on-the-shapley-value-2302.11431</loc><lastmod>2023-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-towards-efficient-data-valuation-based-on-the-shapley-value-2302.11431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-towards-efficient-data-valuation-based-on-the-shapley-value-2302.11431"/></url>
<url><loc>https://scifaro.com/en/abs/bayes-meets-bernstein-at-the-meta-level-an-analysis-of-fast-rates-in-meta-learning-with-pac-bayes-2302.11709</loc><lastmod>2025-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayes-meets-bernstein-at-the-meta-level-an-analysis-of-fast-rates-in-meta-learning-with-pac-bayes-2302.11709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayes-meets-bernstein-at-the-meta-level-an-analysis-of-fast-rates-in-meta-learning-with-pac-bayes-2302.11709"/></url>
<url><loc>https://scifaro.com/en/abs/causally-disentangled-generative-variational-autoencoder-2302.11737</loc><lastmod>2023-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causally-disentangled-generative-variational-autoencoder-2302.11737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causally-disentangled-generative-variational-autoencoder-2302.11737"/></url>
<url><loc>https://scifaro.com/en/abs/on-statistical-properties-of-sharpness-aware-minimization-provable-guarantees-2302.11836</loc><lastmod>2023-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-statistical-properties-of-sharpness-aware-minimization-provable-guarantees-2302.11836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-statistical-properties-of-sharpness-aware-minimization-provable-guarantees-2302.11836"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-situation-testing-uncovering-discrimination-under-fairness-given-the-difference-2302.11944</loc><lastmod>2024-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-situation-testing-uncovering-discrimination-under-fairness-given-the-difference-2302.11944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-situation-testing-uncovering-discrimination-under-fairness-given-the-difference-2302.11944"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-affine-and-rational-quadratic-spline-coupling-and-autoregressive-flows-through-robust-statistical-tests-2302.12024</loc><lastmod>2025-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-affine-and-rational-quadratic-spline-coupling-and-autoregressive-flows-through-robust-statistical-tests-2302.12024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-affine-and-rational-quadratic-spline-coupling-and-autoregressive-flows-through-robust-statistical-tests-2302.12024"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-learning-take-on-the-concordance-index-for-survival-analysis-2302.12059</loc><lastmod>2023-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-learning-take-on-the-concordance-index-for-survival-analysis-2302.12059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-learning-take-on-the-concordance-index-for-survival-analysis-2302.12059"/></url>
<url><loc>https://scifaro.com/en/abs/rank-based-causal-discovery-for-post-nonlinear-models-2302.12341</loc><lastmod>2023-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rank-based-causal-discovery-for-post-nonlinear-models-2302.12341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rank-based-causal-discovery-for-post-nonlinear-models-2302.12341"/></url>
<url><loc>https://scifaro.com/en/abs/graph-laplacians-on-shared-nearest-neighbor-graphs-and-graph-laplacians-on-k-nearest-neighbor-graphs-having-the-same-limit-2302.12399</loc><lastmod>2023-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-laplacians-on-shared-nearest-neighbor-graphs-and-graph-laplacians-on-k-nearest-neighbor-graphs-having-the-same-limit-2302.12399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-laplacians-on-shared-nearest-neighbor-graphs-and-graph-laplacians-on-k-nearest-neighbor-graphs-having-the-same-limit-2302.12399"/></url>
<url><loc>https://scifaro.com/en/abs/a-targeted-accuracy-diagnostic-for-variational-approximations-2302.12419</loc><lastmod>2023-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-targeted-accuracy-diagnostic-for-variational-approximations-2302.12419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-targeted-accuracy-diagnostic-for-variational-approximations-2302.12419"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-analysis-of-karcher-means-for-random-restricted-psd-matrices-2302.12426</loc><lastmod>2023-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-analysis-of-karcher-means-for-random-restricted-psd-matrices-2302.12426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-analysis-of-karcher-means-for-random-restricted-psd-matrices-2302.12426"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-convergence-of-iterative-optimization-algorithms-2302.12544</loc><lastmod>2023-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-convergence-of-iterative-optimization-algorithms-2302.12544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-convergence-of-iterative-optimization-algorithms-2302.12544"/></url>
<url><loc>https://scifaro.com/en/abs/variational-linearized-laplace-approximation-for-bayesian-deep-learning-2302.12565</loc><lastmod>2024-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-linearized-laplace-approximation-for-bayesian-deep-learning-2302.12565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-linearized-laplace-approximation-for-bayesian-deep-learning-2302.12565"/></url>
<url><loc>https://scifaro.com/en/abs/balanced-off-policy-evaluation-for-personalized-pricing-2302.12736</loc><lastmod>2023-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balanced-off-policy-evaluation-for-personalized-pricing-2302.12736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balanced-off-policy-evaluation-for-personalized-pricing-2302.12736"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-for-set-to-set-matching-with-negative-sampling-2302.12991</loc><lastmod>2023-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-for-set-to-set-matching-with-negative-sampling-2302.12991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-for-set-to-set-matching-with-negative-sampling-2302.12991"/></url>
<url><loc>https://scifaro.com/en/abs/on-deep-generative-models-for-approximation-and-estimation-of-distributions-on-manifolds-2302.13183</loc><lastmod>2023-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-deep-generative-models-for-approximation-and-estimation-of-distributions-on-manifolds-2302.13183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-deep-generative-models-for-approximation-and-estimation-of-distributions-on-manifolds-2302.13183"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-fair-pca-for-fair-representation-learning-2302.13319</loc><lastmod>2023-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-fair-pca-for-fair-representation-learning-2302.13319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-fair-pca-for-fair-representation-learning-2302.13319"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-conditional-moment-constraints-for-confounding-robust-inference-2302.13348</loc><lastmod>2023-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-conditional-moment-constraints-for-confounding-robust-inference-2302.13348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-conditional-moment-constraints-for-confounding-robust-inference-2302.13348"/></url>
<url><loc>https://scifaro.com/en/abs/performance-is-not-enough-the-story-told-by-a-rashomon-quartet-2302.13356</loc><lastmod>2024-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-is-not-enough-the-story-told-by-a-rashomon-quartet-2302.13356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-is-not-enough-the-story-told-by-a-rashomon-quartet-2302.13356"/></url>
<url><loc>https://scifaro.com/en/abs/natural-gradient-hybrid-variational-inference-with-application-to-deep-mixed-models-2302.13536</loc><lastmod>2024-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/natural-gradient-hybrid-variational-inference-with-application-to-deep-mixed-models-2302.13536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/natural-gradient-hybrid-variational-inference-with-application-to-deep-mixed-models-2302.13536"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-topological-data-analysis-for-maldi-mass-spectrometry-imaging-applications-2302.13948</loc><lastmod>2023-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-topological-data-analysis-for-maldi-mass-spectrometry-imaging-applications-2302.13948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-topological-data-analysis-for-maldi-mass-spectrometry-imaging-applications-2302.13948"/></url>
<url><loc>https://scifaro.com/en/abs/causal-isotonic-calibration-for-heterogeneous-treatment-effects-2302.14011</loc><lastmod>2023-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-isotonic-calibration-for-heterogeneous-treatment-effects-2302.14011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-isotonic-calibration-for-heterogeneous-treatment-effects-2302.14011"/></url>
<url><loc>https://scifaro.com/en/abs/co-bed-information-theoretic-contextual-optimization-via-bayesian-experimental-design-2302.14015</loc><lastmod>2023-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/co-bed-information-theoretic-contextual-optimization-via-bayesian-experimental-design-2302.14015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/co-bed-information-theoretic-contextual-optimization-via-bayesian-experimental-design-2302.14015"/></url>
<url><loc>https://scifaro.com/en/abs/time-uniform-confidence-bands-for-the-cdf-under-nonstationarity-2302.14248</loc><lastmod>2023-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-uniform-confidence-bands-for-the-cdf-under-nonstationarity-2302.14248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-uniform-confidence-bands-for-the-cdf-under-nonstationarity-2302.14248"/></url>
<url><loc>https://scifaro.com/en/abs/federated-covariate-shift-adaptation-for-missing-target-output-values-2302.14427</loc><lastmod>2023-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-covariate-shift-adaptation-for-missing-target-output-values-2302.14427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-covariate-shift-adaptation-for-missing-target-output-values-2302.14427"/></url>
<url><loc>https://scifaro.com/en/abs/reproducing-kernel-hilbert-spaces-in-the-mean-field-limit-2302.14446</loc><lastmod>2023-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reproducing-kernel-hilbert-spaces-in-the-mean-field-limit-2302.14446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reproducing-kernel-hilbert-spaces-in-the-mean-field-limit-2302.14446"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-kernelized-tensor-factorization-as-surrogate-for-bayesian-optimization-2302.14510</loc><lastmod>2023-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-kernelized-tensor-factorization-as-surrogate-for-bayesian-optimization-2302.14510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-kernelized-tensor-factorization-as-surrogate-for-bayesian-optimization-2302.14510"/></url>
<url><loc>https://scifaro.com/en/abs/modern-bayesian-experimental-design-2302.14545</loc><lastmod>2023-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modern-bayesian-experimental-design-2302.14545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modern-bayesian-experimental-design-2302.14545"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-clustering-large-scale-unsupervised-learning-of-gaussian-mixture-models-with-outliers-2302.14599</loc><lastmod>2024-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-clustering-large-scale-unsupervised-learning-of-gaussian-mixture-models-with-outliers-2302.14599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-clustering-large-scale-unsupervised-learning-of-gaussian-mixture-models-with-outliers-2302.14599"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-integration-of-physics-based-machine-learning-with-hierarchical-bayesian-modeling-techniques-2303.00187</loc><lastmod>2023-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-integration-of-physics-based-machine-learning-with-hierarchical-bayesian-modeling-techniques-2303.00187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-integration-of-physics-based-machine-learning-with-hierarchical-bayesian-modeling-techniques-2303.00187"/></url>
<url><loc>https://scifaro.com/en/abs/learning-curves-for-deep-structured-gaussian-feature-models-2303.00564</loc><lastmod>2023-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-curves-for-deep-structured-gaussian-feature-models-2303.00564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-curves-for-deep-structured-gaussian-feature-models-2303.00564"/></url>
<url><loc>https://scifaro.com/en/abs/dimension-reduced-krnet-maps-for-high-dimensional-bayesian-inverse-problems-2303.00573</loc><lastmod>2023-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimension-reduced-krnet-maps-for-high-dimensional-bayesian-inverse-problems-2303.00573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimension-reduced-krnet-maps-for-high-dimensional-bayesian-inverse-problems-2303.00573"/></url>
<url><loc>https://scifaro.com/en/abs/fair-ensemble-when-fairness-naturally-emerges-from-deep-ensembling-2303.00586</loc><lastmod>2023-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-ensemble-when-fairness-naturally-emerges-from-deep-ensembling-2303.00586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-ensemble-when-fairness-naturally-emerges-from-deep-ensembling-2303.00586"/></url>
<url><loc>https://scifaro.com/en/abs/in-all-likelihoods-how-to-reliably-select-pseudo-labeled-data-for-self-training-in-semi-supervised-learning-2303.01117</loc><lastmod>2023-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/in-all-likelihoods-how-to-reliably-select-pseudo-labeled-data-for-self-training-in-semi-supervised-learning-2303.01117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/in-all-likelihoods-how-to-reliably-select-pseudo-labeled-data-for-self-training-in-semi-supervised-learning-2303.01117"/></url>
<url><loc>https://scifaro.com/en/abs/a-notion-of-feature-importance-by-decorrelation-and-detection-of-trends-by-random-forest-regression-2303.01156</loc><lastmod>2023-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-notion-of-feature-importance-by-decorrelation-and-detection-of-trends-by-random-forest-regression-2303.01156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-notion-of-feature-importance-by-decorrelation-and-detection-of-trends-by-random-forest-regression-2303.01156"/></url>
<url><loc>https://scifaro.com/en/abs/choosing-public-datasets-for-private-machine-learning-via-gradient-subspace-distance-2303.01256</loc><lastmod>2025-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/choosing-public-datasets-for-private-machine-learning-via-gradient-subspace-distance-2303.01256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/choosing-public-datasets-for-private-machine-learning-via-gradient-subspace-distance-2303.01256"/></url>
<url><loc>https://scifaro.com/en/abs/penalising-the-biases-in-norm-regularisation-enforces-sparsity-2303.01353</loc><lastmod>2025-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/penalising-the-biases-in-norm-regularisation-enforces-sparsity-2303.01353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/penalising-the-biases-in-norm-regularisation-enforces-sparsity-2303.01353"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-penalized-deep-neural-networks-estimator-under-weak-dependence-2303.01406</loc><lastmod>2023-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-penalized-deep-neural-networks-estimator-under-weak-dependence-2303.01406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-penalized-deep-neural-networks-estimator-under-weak-dependence-2303.01406"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-posterior-perturbation-analysis-with-integral-probability-metrics-2303.01512</loc><lastmod>2023-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-posterior-perturbation-analysis-with-integral-probability-metrics-2303.01512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-posterior-perturbation-analysis-with-integral-probability-metrics-2303.01512"/></url>
<url><loc>https://scifaro.com/en/abs/variational-ep-with-probabilistic-backpropagation-for-bayesian-neural-networks-2303.01540</loc><lastmod>2023-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-ep-with-probabilistic-backpropagation-for-bayesian-neural-networks-2303.01540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-ep-with-probabilistic-backpropagation-for-bayesian-neural-networks-2303.01540"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-provable-advantage-of-unsupervised-pretraining-2303.01566</loc><lastmod>2023-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-provable-advantage-of-unsupervised-pretraining-2303.01566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-provable-advantage-of-unsupervised-pretraining-2303.01566"/></url>
<url><loc>https://scifaro.com/en/abs/deep-momentum-multi-marginal-schr-odinger-bridge-2303.01751</loc><lastmod>2023-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-momentum-multi-marginal-schr-odinger-bridge-2303.01751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-momentum-multi-marginal-schr-odinger-bridge-2303.01751"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-models-are-minimax-optimal-distribution-estimators-2303.01861</loc><lastmod>2023-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-models-are-minimax-optimal-distribution-estimators-2303.01861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-models-are-minimax-optimal-distribution-estimators-2303.01861"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-cart-models-for-insurance-claims-frequency-2303.01923</loc><lastmod>2023-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-cart-models-for-insurance-claims-frequency-2303.01923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-cart-models-for-insurance-claims-frequency-2303.01923"/></url>
<url><loc>https://scifaro.com/en/abs/learning-energy-conserving-dynamics-efficiently-with-hamiltonian-gaussian-processes-2303.01925</loc><lastmod>2023-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-energy-conserving-dynamics-efficiently-with-hamiltonian-gaussian-processes-2303.01925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-energy-conserving-dynamics-efficiently-with-hamiltonian-gaussian-processes-2303.01925"/></url>
<url><loc>https://scifaro.com/en/abs/synthetic-data-generator-for-adaptive-interventions-in-global-health-2303.01954</loc><lastmod>2023-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synthetic-data-generator-for-adaptive-interventions-in-global-health-2303.01954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synthetic-data-generator-for-adaptive-interventions-in-global-health-2303.01954"/></url>
<url><loc>https://scifaro.com/en/abs/diagnosing-model-performance-under-distribution-shift-2303.02011</loc><lastmod>2023-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diagnosing-model-performance-under-distribution-shift-2303.02011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diagnosing-model-performance-under-distribution-shift-2303.02011"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-bayes-risk-of-semi-supervised-multitask-learning-on-gaussian-mixture-2303.02048</loc><lastmod>2023-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-bayes-risk-of-semi-supervised-multitask-learning-on-gaussian-mixture-2303.02048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-bayes-risk-of-semi-supervised-multitask-learning-on-gaussian-mixture-2303.02048"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-learning-of-bernoulli-linear-dynamical-systems-models-2303.02060</loc><lastmod>2023-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-learning-of-bernoulli-linear-dynamical-systems-models-2303.02060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-learning-of-bernoulli-linear-dynamical-systems-models-2303.02060"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-interventions-for-global-health-a-case-study-of-malaria-2303.02075</loc><lastmod>2023-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-interventions-for-global-health-a-case-study-of-malaria-2303.02075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-interventions-for-global-health-a-case-study-of-malaria-2303.02075"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-computational-tradeoffs-in-mixed-sparse-linear-regression-2303.02118</loc><lastmod>2023-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-computational-tradeoffs-in-mixed-sparse-linear-regression-2303.02118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-computational-tradeoffs-in-mixed-sparse-linear-regression-2303.02118"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-reduced-order-modeling-with-time-scale-separation-2303.02189</loc><lastmod>2023-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-reduced-order-modeling-with-time-scale-separation-2303.02189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-reduced-order-modeling-with-time-scale-separation-2303.02189"/></url>
<url><loc>https://scifaro.com/en/abs/certified-robust-neural-networks-generalization-and-corruption-resistance-2303.02251</loc><lastmod>2023-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certified-robust-neural-networks-generalization-and-corruption-resistance-2303.02251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certified-robust-neural-networks-generalization-and-corruption-resistance-2303.02251"/></url>
<url><loc>https://scifaro.com/en/abs/progressive-bayesian-particle-flows-based-on-optimal-transport-map-sequences-2303.02412</loc><lastmod>2023-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/progressive-bayesian-particle-flows-based-on-optimal-transport-map-sequences-2303.02412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/progressive-bayesian-particle-flows-based-on-optimal-transport-map-sequences-2303.02412"/></url>
<url><loc>https://scifaro.com/en/abs/mfai-a-scalable-bayesian-matrix-factorization-approach-to-leveraging-auxiliary-information-2303.02566</loc><lastmod>2026-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mfai-a-scalable-bayesian-matrix-factorization-approach-to-leveraging-auxiliary-information-2303.02566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mfai-a-scalable-bayesian-matrix-factorization-approach-to-leveraging-auxiliary-information-2303.02566"/></url>
<url><loc>https://scifaro.com/en/abs/a-semi-bayesian-nonparametric-estimator-of-the-maximum-mean-discrepancy-measure-applications-in-goodness-of-fit-testing-and-generative-adversarial-networks-2303.02637</loc><lastmod>2023-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-semi-bayesian-nonparametric-estimator-of-the-maximum-mean-discrepancy-measure-applications-in-goodness-of-fit-testing-and-generative-adversarial-networks-2303.02637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-semi-bayesian-nonparametric-estimator-of-the-maximum-mean-discrepancy-measure-applications-in-goodness-of-fit-testing-and-generative-adversarial-networks-2303.02637"/></url>
<url><loc>https://scifaro.com/en/abs/primal-and-dual-analysis-of-entropic-fictitious-play-for-finite-sum-problems-2303.02957</loc><lastmod>2023-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/primal-and-dual-analysis-of-entropic-fictitious-play-for-finite-sum-problems-2303.02957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/primal-and-dual-analysis-of-entropic-fictitious-play-for-finite-sum-problems-2303.02957"/></url>
<url><loc>https://scifaro.com/en/abs/critical-points-and-convergence-analysis-of-generative-deep-linear-networks-trained-with-bures-wasserstein-loss-2303.03027</loc><lastmod>2023-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/critical-points-and-convergence-analysis-of-generative-deep-linear-networks-trained-with-bures-wasserstein-loss-2303.03027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/critical-points-and-convergence-analysis-of-generative-deep-linear-networks-trained-with-bures-wasserstein-loss-2303.03027"/></url>
<url><loc>https://scifaro.com/en/abs/deep-clustering-with-a-constraint-for-topological-invariance-based-on-symmetric-infonce-2303.03036</loc><lastmod>2023-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-clustering-with-a-constraint-for-topological-invariance-based-on-symmetric-infonce-2303.03036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-clustering-with-a-constraint-for-topological-invariance-based-on-symmetric-infonce-2303.03036"/></url>
<url><loc>https://scifaro.com/en/abs/a-neural-network-based-model-for-multi-dimensional-nonlinear-hawkes-processes-2303.03073</loc><lastmod>2023-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-neural-network-based-model-for-multi-dimensional-nonlinear-hawkes-processes-2303.03073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-neural-network-based-model-for-multi-dimensional-nonlinear-hawkes-processes-2303.03073"/></url>
<url><loc>https://scifaro.com/en/abs/on-regression-in-extreme-regions-2303.03084</loc><lastmod>2025-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-regression-in-extreme-regions-2303.03084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-regression-in-extreme-regions-2303.03084"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-rates-for-non-log-concave-sampling-and-log-partition-estimation-2303.03237</loc><lastmod>2026-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-rates-for-non-log-concave-sampling-and-log-partition-estimation-2303.03237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-rates-for-non-log-concave-sampling-and-log-partition-estimation-2303.03237"/></url>
<url><loc>https://scifaro.com/en/abs/a-polar-prediction-model-for-learning-to-represent-visual-transformations-2303.03432</loc><lastmod>2024-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-polar-prediction-model-for-learning-to-represent-visual-transformations-2303.03432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-polar-prediction-model-for-learning-to-represent-visual-transformations-2303.03432"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-for-neyman-scott-processes-2303.03701</loc><lastmod>2023-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-for-neyman-scott-processes-2303.03701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-for-neyman-scott-processes-2303.03701"/></url>
<url><loc>https://scifaro.com/en/abs/manually-selecting-the-data-function-for-supervised-learning-of-small-datasets-2303.03894</loc><lastmod>2023-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manually-selecting-the-data-function-for-supervised-learning-of-small-datasets-2303.03894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manually-selecting-the-data-function-for-supervised-learning-of-small-datasets-2303.03894"/></url>
<url><loc>https://scifaro.com/en/abs/when-is-importance-weighting-correction-needed-for-covariate-shift-adaptation-2303.04020</loc><lastmod>2023-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-is-importance-weighting-correction-needed-for-covariate-shift-adaptation-2303.04020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-is-importance-weighting-correction-needed-for-covariate-shift-adaptation-2303.04020"/></url>
<url><loc>https://scifaro.com/en/abs/pyxab-a-python-library-for-mathcal-x-armed-bandit-and-online-blackbox-optimization-algorithms-2303.04030</loc><lastmod>2023-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pyxab-a-python-library-for-mathcal-x-armed-bandit-and-online-blackbox-optimization-algorithms-2303.04030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pyxab-a-python-library-for-mathcal-x-armed-bandit-and-online-blackbox-optimization-algorithms-2303.04030"/></url>
<url><loc>https://scifaro.com/en/abs/polynomial-time-and-private-learning-of-unbounded-gaussian-mixture-models-2303.04288</loc><lastmod>2023-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/polynomial-time-and-private-learning-of-unbounded-gaussian-mixture-models-2303.04288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/polynomial-time-and-private-learning-of-unbounded-gaussian-mixture-models-2303.04288"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-sparse-recovery-with-decision-stumps-2303.04301</loc><lastmod>2023-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-sparse-recovery-with-decision-stumps-2303.04301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-sparse-recovery-with-decision-stumps-2303.04301"/></url>
<url><loc>https://scifaro.com/en/abs/an-admm-solver-for-the-mkl-l-0-1-svm-2303.04445</loc><lastmod>2023-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-admm-solver-for-the-mkl-l-0-1-svm-2303.04445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-admm-solver-for-the-mkl-l-0-1-svm-2303.04445"/></url>
<url><loc>https://scifaro.com/en/abs/elf-federated-langevin-algorithms-with-primal-dual-and-bidirectional-compression-2303.04622</loc><lastmod>2023-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elf-federated-langevin-algorithms-with-primal-dual-and-bidirectional-compression-2303.04622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elf-federated-langevin-algorithms-with-primal-dual-and-bidirectional-compression-2303.04622"/></url>
<url><loc>https://scifaro.com/en/abs/a-path-in-regression-random-forest-looking-for-spatial-dependence-a-taxonomy-and-a-systematic-review-2303.04693</loc><lastmod>2023-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-path-in-regression-random-forest-looking-for-spatial-dependence-a-taxonomy-and-a-systematic-review-2303.04693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-path-in-regression-random-forest-looking-for-spatial-dependence-a-taxonomy-and-a-systematic-review-2303.04693"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-causal-forests-for-multivariate-outcomes-application-to-irish-data-from-an-international-large-scale-education-assessment-2303.04874</loc><lastmod>2023-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-causal-forests-for-multivariate-outcomes-application-to-irish-data-from-an-international-large-scale-education-assessment-2303.04874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-causal-forests-for-multivariate-outcomes-application-to-irish-data-from-an-international-large-scale-education-assessment-2303.04874"/></url>
<url><loc>https://scifaro.com/en/abs/stylediff-attribute-comparison-between-unlabeled-datasets-in-latent-disentangled-space-2303.05102</loc><lastmod>2023-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stylediff-attribute-comparison-between-unlabeled-datasets-in-latent-disentangled-space-2303.05102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stylediff-attribute-comparison-between-unlabeled-datasets-in-latent-disentangled-space-2303.05102"/></url>
<url><loc>https://scifaro.com/en/abs/entropic-wasserstein-component-analysis-2303.05119</loc><lastmod>2023-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropic-wasserstein-component-analysis-2303.05119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropic-wasserstein-component-analysis-2303.05119"/></url>
<url><loc>https://scifaro.com/en/abs/the-joint-node-degree-distribution-in-the-erd-h-o-s-r-enyi-network-2303.05138</loc><lastmod>2023-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-joint-node-degree-distribution-in-the-erd-h-o-s-r-enyi-network-2303.05138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-joint-node-degree-distribution-in-the-erd-h-o-s-r-enyi-network-2303.05138"/></url>
<url><loc>https://scifaro.com/en/abs/fast-post-process-bayesian-inference-with-variational-sparse-bayesian-quadrature-2303.05263</loc><lastmod>2025-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-post-process-bayesian-inference-with-variational-sparse-bayesian-quadrature-2303.05263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-post-process-bayesian-inference-with-variational-sparse-bayesian-quadrature-2303.05263"/></url>
<url><loc>https://scifaro.com/en/abs/penalized-deep-partially-linear-cox-models-with-application-to-ct-scans-of-lung-cancer-patients-2303.05341</loc><lastmod>2023-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/penalized-deep-partially-linear-cox-models-with-application-to-ct-scans-of-lung-cancer-patients-2303.05341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/penalized-deep-partially-linear-cox-models-with-application-to-ct-scans-of-lung-cancer-patients-2303.05341"/></url>
<url><loc>https://scifaro.com/en/abs/data-dependent-generalization-bounds-via-variable-size-compressibility-2303.05369</loc><lastmod>2024-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-dependent-generalization-bounds-via-variable-size-compressibility-2303.05369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-dependent-generalization-bounds-via-variable-size-compressibility-2303.05369"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-regression-with-infinite-width-neural-networks-on-millions-of-examples-2303.05420</loc><lastmod>2023-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-regression-with-infinite-width-neural-networks-on-millions-of-examples-2303.05420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-regression-with-infinite-width-neural-networks-on-millions-of-examples-2303.05420"/></url>
<url><loc>https://scifaro.com/en/abs/exploration-of-the-search-space-of-gaussian-graphical-models-for-paired-data-2303.05561</loc><lastmod>2024-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploration-of-the-search-space-of-gaussian-graphical-models-for-paired-data-2303.05561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploration-of-the-search-space-of-gaussian-graphical-models-for-paired-data-2303.05561"/></url>
<url><loc>https://scifaro.com/en/abs/towards-better-traffic-volume-estimation-jointly-addressing-the-underdetermination-and-nonequilibrium-problems-with-correlation-adaptive-gnns-2303.05660</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-better-traffic-volume-estimation-jointly-addressing-the-underdetermination-and-nonequilibrium-problems-with-correlation-adaptive-gnns-2303.05660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-better-traffic-volume-estimation-jointly-addressing-the-underdetermination-and-nonequilibrium-problems-with-correlation-adaptive-gnns-2303.05660"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-with-minimum-spanning-trees-how-good-can-it-be-2303.05679</loc><lastmod>2025-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-with-minimum-spanning-trees-how-good-can-it-be-2303.05679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-with-minimum-spanning-trees-how-good-can-it-be-2303.05679"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-clustering-with-owa-based-linkages-the-lance-williams-formula-and-dendrogram-inversions-2303.05683</loc><lastmod>2023-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-clustering-with-owa-based-linkages-the-lance-williams-formula-and-dendrogram-inversions-2303.05683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-clustering-with-owa-based-linkages-the-lance-williams-formula-and-dendrogram-inversions-2303.05683"/></url>
<url><loc>https://scifaro.com/en/abs/product-jacobi-theta-boltzmann-machines-with-score-matching-2303.05910</loc><lastmod>2024-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/product-jacobi-theta-boltzmann-machines-with-score-matching-2303.05910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/product-jacobi-theta-boltzmann-machines-with-score-matching-2303.05910"/></url>
<url><loc>https://scifaro.com/en/abs/global-optimality-of-elman-type-rnn-in-the-mean-field-regime-2303.06726</loc><lastmod>2023-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-optimality-of-elman-type-rnn-in-the-mean-field-regime-2303.06726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-optimality-of-elman-type-rnn-in-the-mean-field-regime-2303.06726"/></url>
<url><loc>https://scifaro.com/en/abs/actor-critic-learning-for-mean-field-control-in-continuous-time-2303.06993</loc><lastmod>2023-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/actor-critic-learning-for-mean-field-control-in-continuous-time-2303.06993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/actor-critic-learning-for-mean-field-control-in-continuous-time-2303.06993"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-supported-care-planning-for-older-people-with-complex-health-and-care-needs-2303.07053</loc><lastmod>2023-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-supported-care-planning-for-older-people-with-complex-health-and-care-needs-2303.07053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-supported-care-planning-for-older-people-with-complex-health-and-care-needs-2303.07053"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-statistical-and-machine-learning-methods-for-time-series-forecasting-in-data-driven-logistics-a-simulation-study-2303.07139</loc><lastmod>2024-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-statistical-and-machine-learning-methods-for-time-series-forecasting-in-data-driven-logistics-a-simulation-study-2303.07139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-statistical-and-machine-learning-methods-for-time-series-forecasting-in-data-driven-logistics-a-simulation-study-2303.07139"/></url>
<url><loc>https://scifaro.com/en/abs/tight-non-asymptotic-inference-via-sub-gaussian-intrinsic-moment-norm-2303.07287</loc><lastmod>2026-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-non-asymptotic-inference-via-sub-gaussian-intrinsic-moment-norm-2303.07287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-non-asymptotic-inference-via-sub-gaussian-intrinsic-moment-norm-2303.07287"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-bayesian-physics-informed-neural-networks-for-inverse-problems-via-ensemble-kalman-inversion-2303.07392</loc><lastmod>2023-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-bayesian-physics-informed-neural-networks-for-inverse-problems-via-ensemble-kalman-inversion-2303.07392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-bayesian-physics-informed-neural-networks-for-inverse-problems-via-ensemble-kalman-inversion-2303.07392"/></url>
<url><loc>https://scifaro.com/en/abs/tuning-support-vector-machines-and-boosted-trees-using-optimization-algorithms-2303.07400</loc><lastmod>2023-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tuning-support-vector-machines-and-boosted-trees-using-optimization-algorithms-2303.07400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tuning-support-vector-machines-and-boosted-trees-using-optimization-algorithms-2303.07400"/></url>
<url><loc>https://scifaro.com/en/abs/general-loss-functions-lead-to-approximate-interpolation-in-high-dimensions-2303.07475</loc><lastmod>2025-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/general-loss-functions-lead-to-approximate-interpolation-in-high-dimensions-2303.07475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/general-loss-functions-lead-to-approximate-interpolation-in-high-dimensions-2303.07475"/></url>
<url><loc>https://scifaro.com/en/abs/using-vaes-to-learn-latent-variables-observations-on-applications-in-cryo-em-2303.07487</loc><lastmod>2023-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-vaes-to-learn-latent-variables-observations-on-applications-in-cryo-em-2303.07487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-vaes-to-learn-latent-variables-observations-on-applications-in-cryo-em-2303.07487"/></url>
<url><loc>https://scifaro.com/en/abs/fast-rates-for-maximum-entropy-exploration-2303.08059</loc><lastmod>2023-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-rates-for-maximum-entropy-exploration-2303.08059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-rates-for-maximum-entropy-exploration-2303.08059"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-sampling-designs-for-multi-dimensional-streaming-time-series-with-application-to-power-grid-sensor-data-2303.08242</loc><lastmod>2025-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-sampling-designs-for-multi-dimensional-streaming-time-series-with-application-to-power-grid-sensor-data-2303.08242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-sampling-designs-for-multi-dimensional-streaming-time-series-with-application-to-power-grid-sensor-data-2303.08242"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-free-deviation-bounds-and-the-role-of-domain-knowledge-in-learning-via-model-selection-with-cross-validation-risk-estimation-2303.08777</loc><lastmod>2024-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-free-deviation-bounds-and-the-role-of-domain-knowledge-in-learning-via-model-selection-with-cross-validation-risk-estimation-2303.08777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-free-deviation-bounds-and-the-role-of-domain-knowledge-in-learning-via-model-selection-with-cross-validation-risk-estimation-2303.08777"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-post-hoc-explainers-the-case-of-anchors-2303.08806</loc><lastmod>2025-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-post-hoc-explainers-the-case-of-anchors-2303.08806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-post-hoc-explainers-the-case-of-anchors-2303.08806"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-quadrature-for-neural-ensemble-search-2303.08874</loc><lastmod>2023-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-quadrature-for-neural-ensemble-search-2303.08874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-quadrature-for-neural-ensemble-search-2303.08874"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-penalized-bernstein-support-vector-machines-2303.09066</loc><lastmod>2023-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-penalized-bernstein-support-vector-machines-2303.09066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-penalized-bernstein-support-vector-machines-2303.09066"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-generalization-error-in-linear-neural-networks-with-concept-bottleneck-structure-and-multitask-formulation-2303.09154</loc><lastmod>2023-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-generalization-error-in-linear-neural-networks-with-concept-bottleneck-structure-and-multitask-formulation-2303.09154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-generalization-error-in-linear-neural-networks-with-concept-bottleneck-structure-and-multitask-formulation-2303.09154"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-existence-of-a-complexity-in-fixed-budget-bandit-identification-2303.09468</loc><lastmod>2023-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-existence-of-a-complexity-in-fixed-budget-bandit-identification-2303.09468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-existence-of-a-complexity-in-fixed-budget-bandit-identification-2303.09468"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-flow-on-extensive-rank-positive-semi-definite-matrix-denoising-2303.09474</loc><lastmod>2023-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-flow-on-extensive-rank-positive-semi-definite-matrix-denoising-2303.09474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-flow-on-extensive-rank-positive-semi-definite-matrix-denoising-2303.09474"/></url>
<url><loc>https://scifaro.com/en/abs/pyvbmc-efficient-bayesian-inference-in-python-2303.09519</loc><lastmod>2023-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pyvbmc-efficient-bayesian-inference-in-python-2303.09519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pyvbmc-efficient-bayesian-inference-in-python-2303.09519"/></url>
<url><loc>https://scifaro.com/en/abs/deep-nonparametric-estimation-of-intrinsic-data-structures-by-chart-autoencoders-generalization-error-and-robustness-2303.09863</loc><lastmod>2023-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-nonparametric-estimation-of-intrinsic-data-structures-by-chart-autoencoders-generalization-error-and-robustness-2303.09863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-nonparametric-estimation-of-intrinsic-data-structures-by-chart-autoencoders-generalization-error-and-robustness-2303.09863"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-effects-of-self-supervision-and-contrastive-alignment-in-deep-multi-view-clustering-2303.09877</loc><lastmod>2023-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-effects-of-self-supervision-and-contrastive-alignment-in-deep-multi-view-clustering-2303.09877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-effects-of-self-supervision-and-contrastive-alignment-in-deep-multi-view-clustering-2303.09877"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-probabilistic-crps-learning-with-an-application-to-day-ahead-electricity-prices-2303.10019</loc><lastmod>2024-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-probabilistic-crps-learning-with-an-application-to-day-ahead-electricity-prices-2303.10019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-probabilistic-crps-learning-with-an-application-to-day-ahead-electricity-prices-2303.10019"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-partitioned-local-depth-2303.10167</loc><lastmod>2024-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-partitioned-local-depth-2303.10167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-partitioned-local-depth-2303.10167"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-analysis-of-stochastic-gradient-descent-with-mcmc-estimators-2303.10599</loc><lastmod>2024-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-analysis-of-stochastic-gradient-descent-with-mcmc-estimators-2303.10599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-analysis-of-stochastic-gradient-descent-with-mcmc-estimators-2303.10599"/></url>
<url><loc>https://scifaro.com/en/abs/approaching-an-unknown-communication-system-by-latent-space-exploration-and-causal-inference-2303.10931</loc><lastmod>2024-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approaching-an-unknown-communication-system-by-latent-space-exploration-and-causal-inference-2303.10931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approaching-an-unknown-communication-system-by-latent-space-exploration-and-causal-inference-2303.10931"/></url>
<url><loc>https://scifaro.com/en/abs/quantile-and-moment-neural-networks-for-learning-functionals-of-distributions-2303.11060</loc><lastmod>2023-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantile-and-moment-neural-networks-for-learning-functionals-of-distributions-2303.11060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantile-and-moment-neural-networks-for-learning-functionals-of-distributions-2303.11060"/></url>
<url><loc>https://scifaro.com/en/abs/fault-detection-via-occupation-kernel-principal-component-analysis-2303.11138</loc><lastmod>2023-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fault-detection-via-occupation-kernel-principal-component-analysis-2303.11138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fault-detection-via-occupation-kernel-principal-component-analysis-2303.11138"/></url>
<url><loc>https://scifaro.com/en/abs/solving-high-dimensional-inverse-problems-with-auxiliary-uncertainty-via-operator-learning-with-limited-data-2303.11379</loc><lastmod>2023-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-high-dimensional-inverse-problems-with-auxiliary-uncertainty-via-operator-learning-with-limited-data-2303.11379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-high-dimensional-inverse-problems-with-auxiliary-uncertainty-via-operator-learning-with-limited-data-2303.11379"/></url>
<url><loc>https://scifaro.com/en/abs/universal-smoothed-score-functions-for-generative-modeling-2303.11669</loc><lastmod>2023-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-smoothed-score-functions-for-generative-modeling-2303.11669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-smoothed-score-functions-for-generative-modeling-2303.11669"/></url>
<url><loc>https://scifaro.com/en/abs/a-random-projection-k-nearest-neighbours-ensemble-for-classification-via-extended-neighbourhood-rule-2303.12210</loc><lastmod>2023-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-random-projection-k-nearest-neighbours-ensemble-for-classification-via-extended-neighbourhood-rule-2303.12210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-random-projection-k-nearest-neighbours-ensemble-for-classification-via-extended-neighbourhood-rule-2303.12210"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-conformal-prediction-by-reweighting-nonconformity-score-2303.12695</loc><lastmod>2023-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-conformal-prediction-by-reweighting-nonconformity-score-2303.12695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-conformal-prediction-by-reweighting-nonconformity-score-2303.12695"/></url>
<url><loc>https://scifaro.com/en/abs/nowhere-coexpanding-functions-2303.12814</loc><lastmod>2023-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nowhere-coexpanding-functions-2303.12814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nowhere-coexpanding-functions-2303.12814"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generative-multi-agent-imitation-model-as-a-computational-benchmark-for-evaluating-human-performance-in-complex-interactive-tasks-a-case-study-in-football-2303.13323</loc><lastmod>2023-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generative-multi-agent-imitation-model-as-a-computational-benchmark-for-evaluating-human-performance-in-complex-interactive-tasks-a-case-study-in-football-2303.13323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generative-multi-agent-imitation-model-as-a-computational-benchmark-for-evaluating-human-performance-in-complex-interactive-tasks-a-case-study-in-football-2303.13323"/></url>
<url><loc>https://scifaro.com/en/abs/une-comparaison-des-algorithmes-d-apprentissage-pour-la-survie-avec-donn-ees-manquantes-2303.13590</loc><lastmod>2023-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/une-comparaison-des-algorithmes-d-apprentissage-pour-la-survie-avec-donn-ees-manquantes-2303.13590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/une-comparaison-des-algorithmes-d-apprentissage-pour-la-survie-avec-donn-ees-manquantes-2303.13590"/></url>
<url><loc>https://scifaro.com/en/abs/trak-attributing-model-behavior-at-scale-2303.14186</loc><lastmod>2023-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trak-attributing-model-behavior-at-scale-2303.14186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trak-attributing-model-behavior-at-scale-2303.14186"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-for-longitudinal-data-using-normalizing-flows-2303.14220</loc><lastmod>2023-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-for-longitudinal-data-using-normalizing-flows-2303.14220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-for-longitudinal-data-using-normalizing-flows-2303.14220"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-knockoffs-for-variable-selection-in-reinforcement-learning-2303.14281</loc><lastmod>2024-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-knockoffs-for-variable-selection-in-reinforcement-learning-2303.14281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-knockoffs-for-variable-selection-in-reinforcement-learning-2303.14281"/></url>
<url><loc>https://scifaro.com/en/abs/applications-of-gaussian-processes-at-extreme-lengthscales-from-molecules-to-black-holes-2303.14291</loc><lastmod>2023-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applications-of-gaussian-processes-at-extreme-lengthscales-from-molecules-to-black-holes-2303.14291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applications-of-gaussian-processes-at-extreme-lengthscales-from-molecules-to-black-holes-2303.14291"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-fuzzy-crisp-clustering-algorithm-theory-and-experiments-2303.14366</loc><lastmod>2023-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-fuzzy-crisp-clustering-algorithm-theory-and-experiments-2303.14366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-fuzzy-crisp-clustering-algorithm-theory-and-experiments-2303.14366"/></url>
<url><loc>https://scifaro.com/en/abs/autoregressive-conditional-neural-processes-2303.14468</loc><lastmod>2023-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoregressive-conditional-neural-processes-2303.14468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoregressive-conditional-neural-processes-2303.14468"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-classification-decision-certainty-and-doubt-2303.14568</loc><lastmod>2023-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-classification-decision-certainty-and-doubt-2303.14568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-classification-decision-certainty-and-doubt-2303.14568"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-em-algorithm-2303.14989</loc><lastmod>2023-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-em-algorithm-2303.14989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-em-algorithm-2303.14989"/></url>
<url><loc>https://scifaro.com/en/abs/towards-black-box-parameter-estimation-2303.15041</loc><lastmod>2024-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-black-box-parameter-estimation-2303.15041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-black-box-parameter-estimation-2303.15041"/></url>
<url><loc>https://scifaro.com/en/abs/conjunction-data-messages-for-space-collision-behave-as-a-poisson-process-2303.15074</loc><lastmod>2023-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conjunction-data-messages-for-space-collision-behave-as-a-poisson-process-2303.15074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conjunction-data-messages-for-space-collision-behave-as-a-poisson-process-2303.15074"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-connection-between-l-p-and-risk-consistency-and-its-implications-on-regularized-kernel-methods-2303.15210</loc><lastmod>2023-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-connection-between-l-p-and-risk-consistency-and-its-implications-on-regularized-kernel-methods-2303.15210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-connection-between-l-p-and-risk-consistency-and-its-implications-on-regularized-kernel-methods-2303.15210"/></url>
<url><loc>https://scifaro.com/en/abs/adjusted-wasserstein-distributionally-robust-estimator-in-statistical-learning-2303.15579</loc><lastmod>2024-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adjusted-wasserstein-distributionally-robust-estimator-in-statistical-learning-2303.15579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adjusted-wasserstein-distributionally-robust-estimator-in-statistical-learning-2303.15579"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-gaussian-processes-with-spherical-harmonic-features-revisited-2303.15948</loc><lastmod>2023-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-gaussian-processes-with-spherical-harmonic-features-revisited-2303.15948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-gaussian-processes-with-spherical-harmonic-features-revisited-2303.15948"/></url>
<url><loc>https://scifaro.com/en/abs/learnability-sample-complexity-and-hypothesis-class-complexity-for-regression-models-2303.16091</loc><lastmod>2023-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learnability-sample-complexity-and-hypothesis-class-complexity-for-regression-models-2303.16091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learnability-sample-complexity-and-hypothesis-class-complexity-for-regression-models-2303.16091"/></url>
<url><loc>https://scifaro.com/en/abs/lifting-uniform-learners-via-distributional-decomposition-2303.16208</loc><lastmod>2023-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifting-uniform-learners-via-distributional-decomposition-2303.16208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifting-uniform-learners-via-distributional-decomposition-2303.16208"/></url>
<url><loc>https://scifaro.com/en/abs/infeasible-deterministic-stochastic-and-variance-reduction-algorithms-for-optimization-under-orthogonality-constraints-2303.16510</loc><lastmod>2025-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infeasible-deterministic-stochastic-and-variance-reduction-algorithms-for-optimization-under-orthogonality-constraints-2303.16510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infeasible-deterministic-stochastic-and-variance-reduction-algorithms-for-optimization-under-orthogonality-constraints-2303.16510"/></url>
<url><loc>https://scifaro.com/en/abs/performance-guaranteed-regularization-in-maximum-likelihood-method-gauge-symmetry-in-kullback-leibler-divergence-2303.16721</loc><lastmod>2023-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-guaranteed-regularization-in-maximum-likelihood-method-gauge-symmetry-in-kullback-leibler-divergence-2303.16721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-guaranteed-regularization-in-maximum-likelihood-method-gauge-symmetry-in-kullback-leibler-divergence-2303.16721"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayesian-bounds-for-learning-lti-ss-systems-with-input-from-empirical-loss-2303.16816</loc><lastmod>2023-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayesian-bounds-for-learning-lti-ss-systems-with-input-from-empirical-loss-2303.16816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayesian-bounds-for-learning-lti-ss-systems-with-input-from-empirical-loss-2303.16816"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-schr-odinger-bridge-matching-2303.16852</loc><lastmod>2023-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-schr-odinger-bridge-matching-2303.16852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-schr-odinger-bridge-matching-2303.16852"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-joint-sparsity-in-hierarchical-bayesian-learning-2303.16954</loc><lastmod>2024-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-joint-sparsity-in-hierarchical-bayesian-learning-2303.16954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-joint-sparsity-in-hierarchical-bayesian-learning-2303.16954"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-joint-shift-in-multinomial-classification-2303.16971</loc><lastmod>2024-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-joint-shift-in-multinomial-classification-2303.16971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-joint-shift-in-multinomial-classification-2303.16971"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-sampling-of-stochastic-differential-equations-with-positive-semi-definite-models-2303.17109</loc><lastmod>2023-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-sampling-of-stochastic-differential-equations-with-positive-semi-definite-models-2303.17109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-sampling-of-stochastic-differential-equations-with-positive-semi-definite-models-2303.17109"/></url>
<url><loc>https://scifaro.com/en/abs/the-graphical-nadaraya-watson-estimator-on-latent-position-models-2303.17229</loc><lastmod>2023-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-graphical-nadaraya-watson-estimator-on-latent-position-models-2303.17229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-graphical-nadaraya-watson-estimator-on-latent-position-models-2303.17229"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-similar-linear-representations-adaptivity-minimaxity-and-robustness-2303.17765</loc><lastmod>2025-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-similar-linear-representations-adaptivity-minimaxity-and-robustness-2303.17765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-similar-linear-representations-adaptivity-minimaxity-and-robustness-2303.17765"/></url>
<url><loc>https://scifaro.com/en/abs/per-example-gradient-regularization-improves-learning-signals-from-noisy-data-2303.17940</loc><lastmod>2023-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/per-example-gradient-regularization-improves-learning-signals-from-noisy-data-2303.17940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/per-example-gradient-regularization-improves-learning-signals-from-noisy-data-2303.17940"/></url>
<url><loc>https://scifaro.com/en/abs/a-scale-invariant-sorting-criterion-to-find-a-causal-order-in-additive-noise-models-2303.18211</loc><lastmod>2023-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-scale-invariant-sorting-criterion-to-find-a-causal-order-in-additive-noise-models-2303.18211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-scale-invariant-sorting-criterion-to-find-a-causal-order-in-additive-noise-models-2303.18211"/></url>
<url><loc>https://scifaro.com/en/abs/abstractors-and-relational-cross-attention-an-inductive-bias-for-explicit-relational-reasoning-in-transformers-2304.00195</loc><lastmod>2024-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/abstractors-and-relational-cross-attention-an-inductive-bias-for-explicit-relational-reasoning-in-transformers-2304.00195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/abstractors-and-relational-cross-attention-an-inductive-bias-for-explicit-relational-reasoning-in-transformers-2304.00195"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-map-particle-systems-for-generative-modeling-2304.00200</loc><lastmod>2024-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-map-particle-systems-for-generative-modeling-2304.00200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-map-particle-systems-for-generative-modeling-2304.00200"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-customer-churn-for-the-retail-industry-in-a-deep-learning-based-sequential-framework-2304.00575</loc><lastmod>2023-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-customer-churn-for-the-retail-industry-in-a-deep-learning-based-sequential-framework-2304.00575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-customer-churn-for-the-retail-industry-in-a-deep-learning-based-sequential-framework-2304.00575"/></url>
<url><loc>https://scifaro.com/en/abs/lithium-ion-battery-online-knee-onset-detection-by-matrix-profile-2304.00691</loc><lastmod>2023-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lithium-ion-battery-online-knee-onset-detection-by-matrix-profile-2304.00691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lithium-ion-battery-online-knee-onset-detection-by-matrix-profile-2304.00691"/></url>
<url><loc>https://scifaro.com/en/abs/online-stochastic-newton-methods-for-estimating-the-geometric-median-and-applications-2304.00770</loc><lastmod>2023-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-stochastic-newton-methods-for-estimating-the-geometric-median-and-applications-2304.00770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-stochastic-newton-methods-for-estimating-the-geometric-median-and-applications-2304.00770"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-bridge-mixture-transports-schr-odinger-bridge-problems-and-generative-modeling-2304.00917</loc><lastmod>2023-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-bridge-mixture-transports-schr-odinger-bridge-problems-and-generative-modeling-2304.00917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-bridge-mixture-transports-schr-odinger-bridge-problems-and-generative-modeling-2304.00917"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-data-with-structured-missingness-2304.01429</loc><lastmod>2023-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-data-with-structured-missingness-2304.01429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-data-with-structured-missingness-2304.01429"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-amplification-via-compression-achieving-the-optimal-privacy-accuracy-communication-trade-off-in-distributed-mean-estimation-2304.01541</loc><lastmod>2023-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-amplification-via-compression-achieving-the-optimal-privacy-accuracy-communication-trade-off-in-distributed-mean-estimation-2304.01541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-amplification-via-compression-achieving-the-optimal-privacy-accuracy-communication-trade-off-in-distributed-mean-estimation-2304.01541"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-rates-of-approximation-by-shallow-relu-k-neural-networks-and-applications-to-nonparametric-regression-2304.01561</loc><lastmod>2024-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-rates-of-approximation-by-shallow-relu-k-neural-networks-and-applications-to-nonparametric-regression-2304.01561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-rates-of-approximation-by-shallow-relu-k-neural-networks-and-applications-to-nonparametric-regression-2304.01561"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-concentration-for-high-dimensional-linear-gaussians-an-invariant-subspace-approach-2304.01708</loc><lastmod>2023-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-concentration-for-high-dimensional-linear-gaussians-an-invariant-subspace-approach-2304.01708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-concentration-for-high-dimensional-linear-gaussians-an-invariant-subspace-approach-2304.01708"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-the-contribution-of-dependent-features-in-xai-methods-2304.01717</loc><lastmod>2024-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-the-contribution-of-dependent-features-in-xai-methods-2304.01717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-the-contribution-of-dependent-features-in-xai-methods-2304.01717"/></url>
<url><loc>https://scifaro.com/en/abs/bounding-probabilities-of-causation-through-the-causal-marginal-problem-2304.02023</loc><lastmod>2023-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounding-probabilities-of-causation-through-the-causal-marginal-problem-2304.02023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounding-probabilities-of-causation-through-the-causal-marginal-problem-2304.02023"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-neural-networks-via-mcmc-a-python-based-tutorial-2304.02595</loc><lastmod>2024-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-neural-networks-via-mcmc-a-python-based-tutorial-2304.02595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-neural-networks-via-mcmc-a-python-based-tutorial-2304.02595"/></url>
<url><loc>https://scifaro.com/en/abs/self-distillation-for-gaussian-process-regression-and-classification-2304.02641</loc><lastmod>2023-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-distillation-for-gaussian-process-regression-and-classification-2304.02641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-distillation-for-gaussian-process-regression-and-classification-2304.02641"/></url>
<url><loc>https://scifaro.com/en/abs/variable-complexity-weighted-tempered-gibbs-samplers-for-bayesian-variable-selection-2304.02899</loc><lastmod>2023-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-complexity-weighted-tempered-gibbs-samplers-for-bayesian-variable-selection-2304.02899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-complexity-weighted-tempered-gibbs-samplers-for-bayesian-variable-selection-2304.02899"/></url>
<url><loc>https://scifaro.com/en/abs/towards-efficient-mcmc-sampling-in-bayesian-neural-networks-by-exploiting-symmetry-2304.02902</loc><lastmod>2023-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-efficient-mcmc-sampling-in-bayesian-neural-networks-by-exploiting-symmetry-2304.02902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-efficient-mcmc-sampling-in-bayesian-neural-networks-by-exploiting-symmetry-2304.02902"/></url>
<url><loc>https://scifaro.com/en/abs/heavy-tailed-regularization-of-weight-matrices-in-deep-neural-networks-2304.02911</loc><lastmod>2023-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heavy-tailed-regularization-of-weight-matrices-in-deep-neural-networks-2304.02911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heavy-tailed-regularization-of-weight-matrices-in-deep-neural-networks-2304.02911"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-heavy-tailed-features-in-high-dimensions-a-superstatistical-approach-2304.02912</loc><lastmod>2024-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-heavy-tailed-features-in-high-dimensions-a-superstatistical-approach-2304.02912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-heavy-tailed-features-in-high-dimensions-a-superstatistical-approach-2304.02912"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-gap-regularization-of-neural-networks-2304.03096</loc><lastmod>2023-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-gap-regularization-of-neural-networks-2304.03096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-gap-regularization-of-neural-networks-2304.03096"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-sage-estimation-via-causal-structure-learning-2304.03113</loc><lastmod>2023-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-sage-estimation-via-causal-structure-learning-2304.03113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-sage-estimation-via-causal-structure-learning-2304.03113"/></url>
<url><loc>https://scifaro.com/en/abs/pairwise-ranking-with-gaussian-kernels-2304.03185</loc><lastmod>2023-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pairwise-ranking-with-gaussian-kernels-2304.03185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pairwise-ranking-with-gaussian-kernels-2304.03185"/></url>
<url><loc>https://scifaro.com/en/abs/dynamics-of-finite-width-kernel-and-prediction-fluctuations-in-mean-field-neural-networks-2304.03408</loc><lastmod>2023-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamics-of-finite-width-kernel-and-prediction-fluctuations-in-mean-field-neural-networks-2304.03408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamics-of-finite-width-kernel-and-prediction-fluctuations-in-mean-field-neural-networks-2304.03408"/></url>
<url><loc>https://scifaro.com/en/abs/biological-sequence-kernels-with-guaranteed-flexibility-2304.03775</loc><lastmod>2023-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biological-sequence-kernels-with-guaranteed-flexibility-2304.03775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biological-sequence-kernels-with-guaranteed-flexibility-2304.03775"/></url>
<url><loc>https://scifaro.com/en/abs/conservative-objective-models-are-a-special-kind-of-contrastive-divergence-based-energy-model-2304.03866</loc><lastmod>2023-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conservative-objective-models-are-a-special-kind-of-contrastive-divergence-based-energy-model-2304.03866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conservative-objective-models-are-a-special-kind-of-contrastive-divergence-based-energy-model-2304.03866"/></url>
<url><loc>https://scifaro.com/en/abs/ofter-an-online-pipeline-for-time-series-forecasting-2304.03877</loc><lastmod>2023-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ofter-an-online-pipeline-for-time-series-forecasting-2304.03877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ofter-an-online-pipeline-for-time-series-forecasting-2304.03877"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-proof-of-the-mixing-of-metropolis-adjusted-langevin-algorithm-under-smoothness-and-isoperimetry-2304.04095</loc><lastmod>2023-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-proof-of-the-mixing-of-metropolis-adjusted-langevin-algorithm-under-smoothness-and-isoperimetry-2304.04095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-proof-of-the-mixing-of-metropolis-adjusted-langevin-algorithm-under-smoothness-and-isoperimetry-2304.04095"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-multinomial-random-forest-2304.04240</loc><lastmod>2023-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-multinomial-random-forest-2304.04240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-multinomial-random-forest-2304.04240"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-efficient-task-specific-data-valuation-for-nearest-neighbor-algorithms-2304.04258</loc><lastmod>2023-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-efficient-task-specific-data-valuation-for-nearest-neighbor-algorithms-2304.04258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-efficient-task-specific-data-valuation-for-nearest-neighbor-algorithms-2304.04258"/></url>
<url><loc>https://scifaro.com/en/abs/priorcvae-scalable-mcmc-parameter-inference-with-bayesian-deep-generative-modelling-2304.04307</loc><lastmod>2023-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/priorcvae-scalable-mcmc-parameter-inference-with-bayesian-deep-generative-modelling-2304.04307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/priorcvae-scalable-mcmc-parameter-inference-with-bayesian-deep-generative-modelling-2304.04307"/></url>
<url><loc>https://scifaro.com/en/abs/regret-distribution-in-stochastic-bandits-optimal-trade-off-between-expectation-and-tail-risk-2304.04341</loc><lastmod>2025-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-distribution-in-stochastic-bandits-optimal-trade-off-between-expectation-and-tail-risk-2304.04341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-distribution-in-stochastic-bandits-optimal-trade-off-between-expectation-and-tail-risk-2304.04341"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-of-nonlinear-functionals-using-deep-relu-networks-2304.04443</loc><lastmod>2023-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-of-nonlinear-functionals-using-deep-relu-networks-2304.04443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-of-nonlinear-functionals-using-deep-relu-networks-2304.04443"/></url>
<url><loc>https://scifaro.com/en/abs/reflected-diffusion-models-2304.04740</loc><lastmod>2023-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reflected-diffusion-models-2304.04740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reflected-diffusion-models-2304.04740"/></url>
<url><loc>https://scifaro.com/en/abs/actually-sparse-variational-gaussian-processes-2304.05091</loc><lastmod>2023-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/actually-sparse-variational-gaussian-processes-2304.05091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/actually-sparse-variational-gaussian-processes-2304.05091"/></url>
<url><loc>https://scifaro.com/en/abs/selecting-robust-features-for-machine-learning-applications-using-multidata-causal-discovery-2304.05294</loc><lastmod>2023-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selecting-robust-features-for-machine-learning-applications-using-multidata-causal-discovery-2304.05294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selecting-robust-features-for-machine-learning-applications-using-multidata-causal-discovery-2304.05294"/></url>
<url><loc>https://scifaro.com/en/abs/fair-grading-algorithms-for-randomized-exams-2304.06254</loc><lastmod>2023-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-grading-algorithms-for-randomized-exams-2304.06254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-grading-algorithms-for-randomized-exams-2304.06254"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-overfitting-in-adversarial-training-via-kernel-regression-2304.06326</loc><lastmod>2023-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-overfitting-in-adversarial-training-via-kernel-regression-2304.06326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-overfitting-in-adversarial-training-via-kernel-regression-2304.06326"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactuals-an-r-package-for-counterfactual-explanation-methods-2304.06569</loc><lastmod>2023-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactuals-an-r-package-for-counterfactual-explanation-methods-2304.06569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactuals-an-r-package-for-counterfactual-explanation-methods-2304.06569"/></url>
<url><loc>https://scifaro.com/en/abs/bayes-classifier-cannot-be-learned-from-noisy-responses-with-unknown-noise-rates-2304.06574</loc><lastmod>2023-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayes-classifier-cannot-be-learned-from-noisy-responses-with-unknown-noise-rates-2304.06574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayes-classifier-cannot-be-learned-from-noisy-responses-with-unknown-noise-rates-2304.06574"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-from-pairwise-comparisons-in-general-graphs-and-graphs-with-locality-2304.06821</loc><lastmod>2023-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-from-pairwise-comparisons-in-general-graphs-and-graphs-with-locality-2304.06821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-from-pairwise-comparisons-in-general-graphs-and-graphs-with-locality-2304.06821"/></url>
<url><loc>https://scifaro.com/en/abs/estimate-then-optimize-versus-integrated-estimation-optimization-versus-sample-average-approximation-a-stochastic-dominance-perspective-2304.06833</loc><lastmod>2025-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimate-then-optimize-versus-integrated-estimation-optimization-versus-sample-average-approximation-a-stochastic-dominance-perspective-2304.06833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimate-then-optimize-versus-integrated-estimation-optimization-versus-sample-average-approximation-a-stochastic-dominance-perspective-2304.06833"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-time-recurrent-neural-networks-overview-and-application-to-forecasting-blood-glucose-in-the-intensive-care-unit-2304.07025</loc><lastmod>2023-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-time-recurrent-neural-networks-overview-and-application-to-forecasting-blood-glucose-in-the-intensive-care-unit-2304.07025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-time-recurrent-neural-networks-overview-and-application-to-forecasting-blood-glucose-in-the-intensive-care-unit-2304.07025"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-pac-bayes-learning-exploiting-optimisation-guarantees-to-explain-generalisation-2304.07048</loc><lastmod>2023-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-pac-bayes-learning-exploiting-optimisation-guarantees-to-explain-generalisation-2304.07048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-pac-bayes-learning-exploiting-optimisation-guarantees-to-explain-generalisation-2304.07048"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-convex-algorithms-for-universal-kernel-learning-2304.07472</loc><lastmod>2024-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-convex-algorithms-for-universal-kernel-learning-2304.07472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-convex-algorithms-for-universal-kernel-learning-2304.07472"/></url>
<url><loc>https://scifaro.com/en/abs/dimensionality-reduction-as-probabilistic-inference-2304.07658</loc><lastmod>2023-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimensionality-reduction-as-probabilistic-inference-2304.07658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimensionality-reduction-as-probabilistic-inference-2304.07658"/></url>
<url><loc>https://scifaro.com/en/abs/fed-miwae-federated-imputation-of-incomplete-data-via-deep-generative-models-2304.08054</loc><lastmod>2023-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fed-miwae-federated-imputation-of-incomplete-data-via-deep-generative-models-2304.08054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fed-miwae-federated-imputation-of-incomplete-data-via-deep-generative-models-2304.08054"/></url>
<url><loc>https://scifaro.com/en/abs/long-term-forecasting-with-tide-time-series-dense-encoder-2304.08424</loc><lastmod>2024-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/long-term-forecasting-with-tide-time-series-dense-encoder-2304.08424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/long-term-forecasting-with-tide-time-series-dense-encoder-2304.08424"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-joint-probability-distribution-with-low-rank-tensor-decomposition-radon-transforms-and-dictionaries-2304.08740</loc><lastmod>2023-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-joint-probability-distribution-with-low-rank-tensor-decomposition-radon-transforms-and-dictionaries-2304.08740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-joint-probability-distribution-with-low-rank-tensor-decomposition-radon-transforms-and-dictionaries-2304.08740"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-for-geospatial-data-2304.09157</loc><lastmod>2024-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-for-geospatial-data-2304.09157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-for-geospatial-data-2304.09157"/></url>
<url><loc>https://scifaro.com/en/abs/the-adaptive-tau-lasso-robustness-and-oracle-properties-2304.09310</loc><lastmod>2025-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-adaptive-tau-lasso-robustness-and-oracle-properties-2304.09310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-adaptive-tau-lasso-robustness-and-oracle-properties-2304.09310"/></url>
<url><loc>https://scifaro.com/en/abs/denoising-cosine-similarity-a-theory-driven-approach-for-efficient-representation-learning-2304.09552</loc><lastmod>2023-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/denoising-cosine-similarity-a-theory-driven-approach-for-efficient-representation-learning-2304.09552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/denoising-cosine-similarity-a-theory-driven-approach-for-efficient-representation-learning-2304.09552"/></url>
<url><loc>https://scifaro.com/en/abs/generative-modeling-of-time-dependent-densities-via-optimal-transport-and-projection-pursuit-2304.09663</loc><lastmod>2023-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-modeling-of-time-dependent-densities-via-optimal-transport-and-projection-pursuit-2304.09663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-modeling-of-time-dependent-densities-via-optimal-transport-and-projection-pursuit-2304.09663"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-kernel-for-kernel-based-modal-statistical-methods-2304.10046</loc><lastmod>2023-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-kernel-for-kernel-based-modal-statistical-methods-2304.10046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-kernel-for-kernel-based-modal-statistical-methods-2304.10046"/></url>
<url><loc>https://scifaro.com/en/abs/optimality-of-robust-online-learning-2304.10060</loc><lastmod>2023-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimality-of-robust-online-learning-2304.10060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimality-of-robust-online-learning-2304.10060"/></url>
<url><loc>https://scifaro.com/en/abs/linear-convergence-of-reshuffling-kaczmarz-methods-with-sparse-constraints-2304.10123</loc><lastmod>2023-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-convergence-of-reshuffling-kaczmarz-methods-with-sparse-constraints-2304.10123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-convergence-of-reshuffling-kaczmarz-methods-with-sparse-constraints-2304.10123"/></url>
<url><loc>https://scifaro.com/en/abs/hotelling-deflation-on-large-symmetric-spiked-tensors-2304.10248</loc><lastmod>2023-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hotelling-deflation-on-large-symmetric-spiked-tensors-2304.10248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hotelling-deflation-on-large-symmetric-spiked-tensors-2304.10248"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-activation-of-halting-multi-armed-bandit-models-2304.10302</loc><lastmod>2023-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-activation-of-halting-multi-armed-bandit-models-2304.10302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-activation-of-halting-multi-armed-bandit-models-2304.10302"/></url>
<url><loc>https://scifaro.com/en/abs/ellipsoid-fitting-with-the-cayley-transform-2304.10630</loc><lastmod>2025-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ellipsoid-fitting-with-the-cayley-transform-2304.10630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ellipsoid-fitting-with-the-cayley-transform-2304.10630"/></url>
<url><loc>https://scifaro.com/en/abs/persistently-trained-diffusion-assisted-energy-based-models-2304.10707</loc><lastmod>2023-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/persistently-trained-diffusion-assisted-energy-based-models-2304.10707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/persistently-trained-diffusion-assisted-energy-based-models-2304.10707"/></url>
<url><loc>https://scifaro.com/en/abs/balancing-simulation-based-inference-for-conservative-posteriors-2304.10978</loc><lastmod>2023-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balancing-simulation-based-inference-for-conservative-posteriors-2304.10978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balancing-simulation-based-inference-for-conservative-posteriors-2304.10978"/></url>
<url><loc>https://scifaro.com/en/abs/plug-and-play-split-gibbs-sampler-embedding-deep-generative-priors-in-bayesian-inference-2304.11134</loc><lastmod>2023-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/plug-and-play-split-gibbs-sampler-embedding-deep-generative-priors-in-bayesian-inference-2304.11134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/plug-and-play-split-gibbs-sampler-embedding-deep-generative-priors-in-bayesian-inference-2304.11134"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-message-passing-graph-neural-networks-with-generic-aggregation-on-large-random-graphs-2304.11140</loc><lastmod>2025-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-message-passing-graph-neural-networks-with-generic-aggregation-on-large-random-graphs-2304.11140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-message-passing-graph-neural-networks-with-generic-aggregation-on-large-random-graphs-2304.11140"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-and-the-future-of-bayesian-computation-2304.11251</loc><lastmod>2023-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-and-the-future-of-bayesian-computation-2304.11251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-and-the-future-of-bayesian-computation-2304.11251"/></url>
<url><loc>https://scifaro.com/en/abs/quantile-extreme-gradient-boosting-for-uncertainty-quantification-2304.11732</loc><lastmod>2023-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantile-extreme-gradient-boosting-for-uncertainty-quantification-2304.11732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantile-extreme-gradient-boosting-for-uncertainty-quantification-2304.11732"/></url>
<url><loc>https://scifaro.com/en/abs/more-communication-does-not-result-in-smaller-generalization-error-in-federated-learning-2304.12216</loc><lastmod>2023-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/more-communication-does-not-result-in-smaller-generalization-error-in-federated-learning-2304.12216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/more-communication-does-not-result-in-smaller-generalization-error-in-federated-learning-2304.12216"/></url>
<url><loc>https://scifaro.com/en/abs/fuzzy-clustering-of-ordinal-time-series-based-on-two-novel-distances-with-economic-applications-2304.12249</loc><lastmod>2023-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fuzzy-clustering-of-ordinal-time-series-based-on-two-novel-distances-with-economic-applications-2304.12249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fuzzy-clustering-of-ordinal-time-series-based-on-two-novel-distances-with-economic-applications-2304.12249"/></url>
<url><loc>https://scifaro.com/en/abs/ordinal-time-series-analysis-with-the-r-package-otsfeatures-2304.12251</loc><lastmod>2023-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ordinal-time-series-analysis-with-the-r-package-otsfeatures-2304.12251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ordinal-time-series-analysis-with-the-r-package-otsfeatures-2304.12251"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-categorical-time-series-with-the-r-package-ctsfeatures-2304.12332</loc><lastmod>2023-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-categorical-time-series-with-the-r-package-ctsfeatures-2304.12332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-categorical-time-series-with-the-r-package-ctsfeatures-2304.12332"/></url>
<url><loc>https://scifaro.com/en/abs/a-bi-fidelity-deeponet-approach-for-modeling-uncertain-and-degrading-hysteretic-systems-2304.12609</loc><lastmod>2023-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bi-fidelity-deeponet-approach-for-modeling-uncertain-and-degrading-hysteretic-systems-2304.12609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bi-fidelity-deeponet-approach-for-modeling-uncertain-and-degrading-hysteretic-systems-2304.12609"/></url>
<url><loc>https://scifaro.com/en/abs/what-can-online-reinforcement-learning-with-function-approximation-benefit-from-general-coverage-conditions-2304.12886</loc><lastmod>2023-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-can-online-reinforcement-learning-with-function-approximation-benefit-from-general-coverage-conditions-2304.12886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-can-online-reinforcement-learning-with-function-approximation-benefit-from-general-coverage-conditions-2304.12886"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-methods-are-competitive-for-operator-learning-2304.13202</loc><lastmod>2023-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-methods-are-competitive-for-operator-learning-2304.13202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-methods-are-competitive-for-operator-learning-2304.13202"/></url>
<url><loc>https://scifaro.com/en/abs/a-mean-field-games-laboratory-for-generative-modeling-2304.13534</loc><lastmod>2023-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-mean-field-games-laboratory-for-generative-modeling-2304.13534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-mean-field-games-laboratory-for-generative-modeling-2304.13534"/></url>
<url><loc>https://scifaro.com/en/abs/energy-based-sliced-wasserstein-distance-2304.13586</loc><lastmod>2024-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-based-sliced-wasserstein-distance-2304.13586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-based-sliced-wasserstein-distance-2304.13586"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-regret-bounds-for-contextual-bandits-with-sub-gaussian-rewards-2304.13593</loc><lastmod>2023-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-regret-bounds-for-contextual-bandits-with-sub-gaussian-rewards-2304.13593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-regret-bounds-for-contextual-bandits-with-sub-gaussian-rewards-2304.13593"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-robustness-of-gradient-boosted-decision-trees-through-one-hot-encoding-and-regularization-2304.13761</loc><lastmod>2023-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-robustness-of-gradient-boosted-decision-trees-through-one-hot-encoding-and-regularization-2304.13761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-robustness-of-gradient-boosted-decision-trees-through-one-hot-encoding-and-regularization-2304.13761"/></url>
<url><loc>https://scifaro.com/en/abs/adaptation-to-misspecified-kernel-regularity-in-kernelised-bandits-2304.13830</loc><lastmod>2023-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptation-to-misspecified-kernel-regularity-in-kernelised-bandits-2304.13830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptation-to-misspecified-kernel-regularity-in-kernelised-bandits-2304.13830"/></url>
<url><loc>https://scifaro.com/en/abs/mixtures-of-gaussian-process-experts-based-on-kernel-stick-breaking-processes-2304.13833</loc><lastmod>2023-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixtures-of-gaussian-process-experts-based-on-kernel-stick-breaking-processes-2304.13833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixtures-of-gaussian-process-experts-based-on-kernel-stick-breaking-processes-2304.13833"/></url>
<url><loc>https://scifaro.com/en/abs/a-majorization-minimization-gauss-newton-method-for-1-bit-matrix-completion-2304.13940</loc><lastmod>2024-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-majorization-minimization-gauss-newton-method-for-1-bit-matrix-completion-2304.13940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-majorization-minimization-gauss-newton-method-for-1-bit-matrix-completion-2304.13940"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-uncertainty-quantification-how-certain-are-you-that-the-model-is-fair-2304.13950</loc><lastmod>2023-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-uncertainty-quantification-how-certain-are-you-that-the-model-is-fair-2304.13950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-uncertainty-quantification-how-certain-are-you-that-the-model-is-fair-2304.13950"/></url>
<url><loc>https://scifaro.com/en/abs/the-structurally-complex-with-additive-parent-causality-scary-dataset-2304.14109</loc><lastmod>2023-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-structurally-complex-with-additive-parent-causality-scary-dataset-2304.14109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-structurally-complex-with-additive-parent-causality-scary-dataset-2304.14109"/></url>
<url><loc>https://scifaro.com/en/abs/on-manifold-learning-in-plato-s-cave-remarks-on-manifold-learning-and-physical-phenomena-2304.14248</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-manifold-learning-in-plato-s-cave-remarks-on-manifold-learning-and-physical-phenomena-2304.14248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-manifold-learning-in-plato-s-cave-remarks-on-manifold-learning-and-physical-phenomena-2304.14248"/></url>
<url><loc>https://scifaro.com/en/abs/resampling-gradients-vanish-in-differentiable-sequential-monte-carlo-samplers-2304.14390</loc><lastmod>2023-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resampling-gradients-vanish-in-differentiable-sequential-monte-carlo-samplers-2304.14390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resampling-gradients-vanish-in-differentiable-sequential-monte-carlo-samplers-2304.14390"/></url>
<url><loc>https://scifaro.com/en/abs/using-perturbation-to-improve-goodness-of-fit-tests-based-on-kernelized-stein-discrepancy-2304.14762</loc><lastmod>2023-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-perturbation-to-improve-goodness-of-fit-tests-based-on-kernelized-stein-discrepancy-2304.14762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-perturbation-to-improve-goodness-of-fit-tests-based-on-kernelized-stein-discrepancy-2304.14762"/></url>
<url><loc>https://scifaro.com/en/abs/a-feature-selection-method-based-on-shapley-values-robust-to-concept-shift-in-regression-2304.14774</loc><lastmod>2024-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-feature-selection-method-based-on-shapley-values-robust-to-concept-shift-in-regression-2304.14774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-feature-selection-method-based-on-shapley-values-robust-to-concept-shift-in-regression-2304.14774"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-predictive-two-sample-and-independence-testing-2305.00143</loc><lastmod>2023-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-predictive-two-sample-and-independence-testing-2305.00143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-predictive-two-sample-and-independence-testing-2305.00143"/></url>
<url><loc>https://scifaro.com/en/abs/limits-of-model-selection-under-transfer-learning-2305.00152</loc><lastmod>2023-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/limits-of-model-selection-under-transfer-learning-2305.00152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/limits-of-model-selection-under-transfer-learning-2305.00152"/></url>
<url><loc>https://scifaro.com/en/abs/eblime-enhanced-bayesian-local-interpretable-model-agnostic-explanations-2305.00213</loc><lastmod>2023-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eblime-enhanced-bayesian-local-interpretable-model-agnostic-explanations-2305.00213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eblime-enhanced-bayesian-local-interpretable-model-agnostic-explanations-2305.00213"/></url>
<url><loc>https://scifaro.com/en/abs/representing-additive-gaussian-processes-by-sparse-matrices-2305.00324</loc><lastmod>2023-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representing-additive-gaussian-processes-by-sparse-matrices-2305.00324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representing-additive-gaussian-processes-by-sparse-matrices-2305.00324"/></url>
<url><loc>https://scifaro.com/en/abs/sliced-wasserstein-estimation-with-control-variates-2305.00402</loc><lastmod>2024-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sliced-wasserstein-estimation-with-control-variates-2305.00402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sliced-wasserstein-estimation-with-control-variates-2305.00402"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-clustering-based-on-prediction-accuracy-of-global-forecasting-models-2305.00473</loc><lastmod>2023-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-clustering-based-on-prediction-accuracy-of-global-forecasting-models-2305.00473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-clustering-based-on-prediction-accuracy-of-global-forecasting-models-2305.00473"/></url>
<url><loc>https://scifaro.com/en/abs/the-art-of-transfer-learning-an-adaptive-and-robust-pipeline-2305.00520</loc><lastmod>2023-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-art-of-transfer-learning-an-adaptive-and-robust-pipeline-2305.00520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-art-of-transfer-learning-an-adaptive-and-robust-pipeline-2305.00520"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-neural-networks-with-repu-activation-with-applications-to-score-estimation-and-isotonic-regression-2305.00608</loc><lastmod>2024-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-neural-networks-with-repu-activation-with-applications-to-score-estimation-and-isotonic-regression-2305.00608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-neural-networks-with-repu-activation-with-applications-to-score-estimation-and-isotonic-regression-2305.00608"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-the-density-ratio-between-distributions-with-high-discrepancy-using-multinomial-logistic-regression-2305.00869</loc><lastmod>2023-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-the-density-ratio-between-distributions-with-high-discrepancy-using-multinomial-logistic-regression-2305.00869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-the-density-ratio-between-distributions-with-high-discrepancy-using-multinomial-logistic-regression-2305.00869"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-for-bayesian-neural-networks-under-model-and-parameter-uncertainty-2305.00934</loc><lastmod>2023-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-for-bayesian-neural-networks-under-model-and-parameter-uncertainty-2305.00934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-for-bayesian-neural-networks-under-model-and-parameter-uncertainty-2305.00934"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-clustering-in-the-gaussian-mixture-block-model-2305.00979</loc><lastmod>2024-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-clustering-in-the-gaussian-mixture-block-model-2305.00979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-clustering-in-the-gaussian-mixture-block-model-2305.00979"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-generalization-ability-of-deep-learning-algorithms-a-kernelized-renyi-s-entropy-perspective-2305.01143</loc><lastmod>2023-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-generalization-ability-of-deep-learning-algorithms-a-kernelized-renyi-s-entropy-perspective-2305.01143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-generalization-ability-of-deep-learning-algorithms-a-kernelized-renyi-s-entropy-perspective-2305.01143"/></url>
<url><loc>https://scifaro.com/en/abs/addressing-parameter-choice-issues-in-unsupervised-domain-adaptation-by-aggregation-2305.01281</loc><lastmod>2023-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/addressing-parameter-choice-issues-in-unsupervised-domain-adaptation-by-aggregation-2305.01281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/addressing-parameter-choice-issues-in-unsupervised-domain-adaptation-by-aggregation-2305.01281"/></url>
<url><loc>https://scifaro.com/en/abs/logspect-feasible-graph-learning-model-from-stationary-signals-with-recovery-guarantees-2305.01379</loc><lastmod>2023-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logspect-feasible-graph-learning-model-from-stationary-signals-with-recovery-guarantees-2305.01379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logspect-feasible-graph-learning-model-from-stationary-signals-with-recovery-guarantees-2305.01379"/></url>
<url><loc>https://scifaro.com/en/abs/slow-kill-for-big-data-learning-2305.01726</loc><lastmod>2023-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/slow-kill-for-big-data-learning-2305.01726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/slow-kill-for-big-data-learning-2305.01726"/></url>
<url><loc>https://scifaro.com/en/abs/expressive-mortality-models-through-gaussian-process-kernels-2305.01728</loc><lastmod>2024-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expressive-mortality-models-through-gaussian-process-kernels-2305.01728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expressive-mortality-models-through-gaussian-process-kernels-2305.01728"/></url>
<url><loc>https://scifaro.com/en/abs/fairml-a-statistician-s-take-on-fair-machine-learning-modelling-2305.02009</loc><lastmod>2023-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairml-a-statistician-s-take-on-fair-machine-learning-modelling-2305.02009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairml-a-statistician-s-take-on-fair-machine-learning-modelling-2305.02009"/></url>
<url><loc>https://scifaro.com/en/abs/a-perspective-on-explainable-artificial-intelligence-methods-shap-and-lime-2305.02012</loc><lastmod>2024-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-perspective-on-explainable-artificial-intelligence-methods-shap-and-lime-2305.02012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-perspective-on-explainable-artificial-intelligence-methods-shap-and-lime-2305.02012"/></url>
<url><loc>https://scifaro.com/en/abs/low-complexity-subspace-descent-over-symmetric-positive-definite-manifold-2305.02041</loc><lastmod>2023-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-complexity-subspace-descent-over-symmetric-positive-definite-manifold-2305.02041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-complexity-subspace-descent-over-symmetric-positive-definite-manifold-2305.02041"/></url>
<url><loc>https://scifaro.com/en/abs/new-equivalences-between-interpolation-and-svms-kernels-and-structured-features-2305.02304</loc><lastmod>2026-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-equivalences-between-interpolation-and-svms-kernels-and-structured-features-2305.02304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-equivalences-between-interpolation-and-svms-kernels-and-structured-features-2305.02304"/></url>
<url><loc>https://scifaro.com/en/abs/reward-teaching-for-federated-multi-armed-bandits-2305.02441</loc><lastmod>2023-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reward-teaching-for-federated-multi-armed-bandits-2305.02441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reward-teaching-for-federated-multi-armed-bandits-2305.02441"/></url>
<url><loc>https://scifaro.com/en/abs/semisupervised-regression-in-latent-structure-networks-on-unknown-manifolds-2305.02473</loc><lastmod>2024-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semisupervised-regression-in-latent-structure-networks-on-unknown-manifolds-2305.02473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semisupervised-regression-in-latent-structure-networks-on-unknown-manifolds-2305.02473"/></url>
<url><loc>https://scifaro.com/en/abs/joint-graph-learning-and-model-fitting-in-laplacian-regularized-stratified-models-2305.02573</loc><lastmod>2023-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-graph-learning-and-model-fitting-in-laplacian-regularized-stratified-models-2305.02573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-graph-learning-and-model-fitting-in-laplacian-regularized-stratified-models-2305.02573"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-eigenvalue-decay-rates-of-a-class-of-neural-network-related-kernel-functions-defined-on-general-domains-2305.02657</loc><lastmod>2026-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-eigenvalue-decay-rates-of-a-class-of-neural-network-related-kernel-functions-defined-on-general-domains-2305.02657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-eigenvalue-decay-rates-of-a-class-of-neural-network-related-kernel-functions-defined-on-general-domains-2305.02657"/></url>
<url><loc>https://scifaro.com/en/abs/using-interpretable-boosting-algorithms-for-modeling-environmental-and-agricultural-data-2305.02699</loc><lastmod>2023-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-interpretable-boosting-algorithms-for-modeling-environmental-and-agricultural-data-2305.02699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-interpretable-boosting-algorithms-for-modeling-environmental-and-agricultural-data-2305.02699"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-regional-descriptors-hyperbox-based-local-explanations-2305.02780</loc><lastmod>2023-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-regional-descriptors-hyperbox-based-local-explanations-2305.02780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-regional-descriptors-hyperbox-based-local-explanations-2305.02780"/></url>
<url><loc>https://scifaro.com/en/abs/piecewise-normalizing-flows-2305.02930</loc><lastmod>2024-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/piecewise-normalizing-flows-2305.02930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/piecewise-normalizing-flows-2305.02930"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-tallying-bandits-overcoming-intractability-via-repeated-exposure-optimality-2305.02955</loc><lastmod>2023-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-tallying-bandits-overcoming-intractability-via-repeated-exposure-optimality-2305.02955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-tallying-bandits-overcoming-intractability-via-repeated-exposure-optimality-2305.02955"/></url>
<url><loc>https://scifaro.com/en/abs/demystifying-softmax-gating-function-in-gaussian-mixture-of-experts-2305.03288</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demystifying-softmax-gating-function-in-gaussian-mixture-of-experts-2305.03288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demystifying-softmax-gating-function-in-gaussian-mixture-of-experts-2305.03288"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-diffusion-based-learning-under-non-parametric-limited-prior-knowledge-2305.03295</loc><lastmod>2023-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-diffusion-based-learning-under-non-parametric-limited-prior-knowledge-2305.03295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-diffusion-based-learning-under-non-parametric-limited-prior-knowledge-2305.03295"/></url>
<url><loc>https://scifaro.com/en/abs/sparsifying-bayesian-neural-networks-with-latent-binary-variables-and-normalizing-flows-2305.03395</loc><lastmod>2023-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsifying-bayesian-neural-networks-with-latent-binary-variables-and-normalizing-flows-2305.03395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsifying-bayesian-neural-networks-with-latent-binary-variables-and-normalizing-flows-2305.03395"/></url>
<url><loc>https://scifaro.com/en/abs/random-smoothing-regularization-in-kernel-gradient-descent-learning-2305.03531</loc><lastmod>2023-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-smoothing-regularization-in-kernel-gradient-descent-learning-2305.03531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-smoothing-regularization-in-kernel-gradient-descent-learning-2305.03531"/></url>
<url><loc>https://scifaro.com/en/abs/the-geometry-of-financial-institutions-wasserstein-clustering-of-financial-data-2305.03565</loc><lastmod>2025-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-geometry-of-financial-institutions-wasserstein-clustering-of-financial-data-2305.03565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-geometry-of-financial-institutions-wasserstein-clustering-of-financial-data-2305.03565"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-topological-data-analysis-2305.03609</loc><lastmod>2023-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-topological-data-analysis-2305.03609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-topological-data-analysis-2305.03609"/></url>
<url><loc>https://scifaro.com/en/abs/no-regret-constrained-bayesian-optimization-of-noisy-and-expensive-hybrid-models-using-differentiable-quantile-function-approximations-2305.03824</loc><lastmod>2023-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-regret-constrained-bayesian-optimization-of-noisy-and-expensive-hybrid-models-using-differentiable-quantile-function-approximations-2305.03824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-regret-constrained-bayesian-optimization-of-noisy-and-expensive-hybrid-models-using-differentiable-quantile-function-approximations-2305.03824"/></url>
<url><loc>https://scifaro.com/en/abs/on-high-dimensional-and-low-rank-tensor-bandits-2305.03884</loc><lastmod>2023-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-high-dimensional-and-low-rank-tensor-bandits-2305.03884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-high-dimensional-and-low-rank-tensor-bandits-2305.03884"/></url>
<url><loc>https://scifaro.com/en/abs/twin-support-vector-quantile-regression-2305.03894</loc><lastmod>2023-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/twin-support-vector-quantile-regression-2305.03894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/twin-support-vector-quantile-regression-2305.03894"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-learning-for-selecting-top-m-context-dependent-designs-2305.04086</loc><lastmod>2023-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-learning-for-selecting-top-m-context-dependent-designs-2305.04086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-learning-for-selecting-top-m-context-dependent-designs-2305.04086"/></url>
<url><loc>https://scifaro.com/en/abs/classification-tree-pruning-under-covariate-shift-2305.04335</loc><lastmod>2023-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-tree-pruning-under-covariate-shift-2305.04335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-tree-pruning-under-covariate-shift-2305.04335"/></url>
<url><loc>https://scifaro.com/en/abs/fast-parameter-estimation-of-generalized-extreme-value-distribution-using-neural-networks-2305.04341</loc><lastmod>2023-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-parameter-estimation-of-generalized-extreme-value-distribution-using-neural-networks-2305.04341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-parameter-estimation-of-generalized-extreme-value-distribution-using-neural-networks-2305.04341"/></url>
<url><loc>https://scifaro.com/en/abs/building-neural-networks-on-matrix-manifolds-a-gyrovector-space-approach-2305.04560</loc><lastmod>2023-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-neural-networks-on-matrix-manifolds-a-gyrovector-space-approach-2305.04560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-neural-networks-on-matrix-manifolds-a-gyrovector-space-approach-2305.04560"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-deconvolution-2305.04871</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-deconvolution-2305.04871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-deconvolution-2305.04871"/></url>
<url><loc>https://scifaro.com/en/abs/solving-linear-inverse-problems-using-higher-order-annealed-langevin-diffusion-2305.05014</loc><lastmod>2023-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-linear-inverse-problems-using-higher-order-annealed-langevin-diffusion-2305.05014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-linear-inverse-problems-using-higher-order-annealed-langevin-diffusion-2305.05014"/></url>
<url><loc>https://scifaro.com/en/abs/a-duality-framework-for-analyzing-random-feature-and-two-layer-neural-networks-2305.05642</loc><lastmod>2025-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-duality-framework-for-analyzing-random-feature-and-two-layer-neural-networks-2305.05642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-duality-framework-for-analyzing-random-feature-and-two-layer-neural-networks-2305.05642"/></url>
<url><loc>https://scifaro.com/en/abs/testing-for-overfitting-2305.05792</loc><lastmod>2025-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-for-overfitting-2305.05792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-for-overfitting-2305.05792"/></url>
<url><loc>https://scifaro.com/en/abs/fair-principal-component-analysis-pca-minorization-maximization-algorithms-for-fair-pca-fair-robust-pca-and-fair-sparse-pca-2305.05963</loc><lastmod>2023-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-principal-component-analysis-pca-minorization-maximization-algorithms-for-fair-pca-fair-robust-pca-and-fair-sparse-pca-2305.05963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-principal-component-analysis-pca-minorization-maximization-algorithms-for-fair-pca-fair-robust-pca-and-fair-sparse-pca-2305.05963"/></url>
<url><loc>https://scifaro.com/en/abs/penalized-deep-neural-networks-estimator-with-general-loss-functions-under-weak-dependence-2305.06230</loc><lastmod>2023-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/penalized-deep-neural-networks-estimator-with-general-loss-functions-under-weak-dependence-2305.06230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/penalized-deep-neural-networks-estimator-with-general-loss-functions-under-weak-dependence-2305.06230"/></url>
<url><loc>https://scifaro.com/en/abs/spatiotemporal-regularized-tucker-decomposition-approach-for-traffic-data-imputation-2305.06563</loc><lastmod>2023-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatiotemporal-regularized-tucker-decomposition-approach-for-traffic-data-imputation-2305.06563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatiotemporal-regularized-tucker-decomposition-approach-for-traffic-data-imputation-2305.06563"/></url>
<url><loc>https://scifaro.com/en/abs/dropout-regularization-in-extended-generalized-linear-models-based-on-double-exponential-families-2305.06625</loc><lastmod>2024-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropout-regularization-in-extended-generalized-linear-models-based-on-double-exponential-families-2305.06625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropout-regularization-in-extended-generalized-linear-models-based-on-double-exponential-families-2305.06625"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-for-neural-ordinary-differential-equations-and-deep-residual-networks-2305.06648</loc><lastmod>2023-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-for-neural-ordinary-differential-equations-and-deep-residual-networks-2305.06648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-for-neural-ordinary-differential-equations-and-deep-residual-networks-2305.06648"/></url>
<url><loc>https://scifaro.com/en/abs/robust-detection-of-lead-lag-relationships-in-lagged-multi-factor-models-2305.06704</loc><lastmod>2023-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-detection-of-lead-lag-relationships-in-lagged-multi-factor-models-2305.06704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-detection-of-lead-lag-relationships-in-lagged-multi-factor-models-2305.06704"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-nearest-neighbors-with-neural-network-models-for-treatment-effect-estimation-2305.06789</loc><lastmod>2023-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-nearest-neighbors-with-neural-network-models-for-treatment-effect-estimation-2305.06789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-nearest-neighbors-with-neural-network-models-for-treatment-effect-estimation-2305.06789"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-framework-for-visualizing-embedding-spaces-of-neural-survival-analysis-models-based-on-angular-information-2305.06862</loc><lastmod>2023-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-framework-for-visualizing-embedding-spaces-of-neural-survival-analysis-models-based-on-angular-information-2305.06862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-framework-for-visualizing-embedding-spaces-of-neural-survival-analysis-models-based-on-angular-information-2305.06862"/></url>
<url><loc>https://scifaro.com/en/abs/reinterpreting-causal-discovery-as-the-task-of-predicting-unobserved-joint-statistics-2305.06894</loc><lastmod>2023-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinterpreting-causal-discovery-as-the-task-of-predicting-unobserved-joint-statistics-2305.06894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinterpreting-causal-discovery-as-the-task-of-predicting-unobserved-joint-statistics-2305.06894"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchically-coherent-multivariate-mixture-networks-2305.07089</loc><lastmod>2023-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchically-coherent-multivariate-mixture-networks-2305.07089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchically-coherent-multivariate-mixture-networks-2305.07089"/></url>
<url><loc>https://scifaro.com/en/abs/locking-and-quacking-stacking-bayesian-model-predictions-by-log-pooling-and-superposition-2305.07334</loc><lastmod>2023-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locking-and-quacking-stacking-bayesian-model-predictions-by-log-pooling-and-superposition-2305.07334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locking-and-quacking-stacking-bayesian-model-predictions-by-log-pooling-and-superposition-2305.07334"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-gradient-descent-for-functional-learning-2305.07408</loc><lastmod>2024-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-gradient-descent-for-functional-learning-2305.07408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-gradient-descent-for-functional-learning-2305.07408"/></url>
<url><loc>https://scifaro.com/en/abs/expertise-based-weighting-for-regression-models-with-noisy-labels-2305.07430</loc><lastmod>2023-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expertise-based-weighting-for-regression-models-with-noisy-labels-2305.07430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expertise-based-weighting-for-regression-models-with-noisy-labels-2305.07430"/></url>
<url><loc>https://scifaro.com/en/abs/towards-convergence-rates-for-parameter-estimation-in-gaussian-gated-mixture-of-experts-2305.07572</loc><lastmod>2024-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-convergence-rates-for-parameter-estimation-in-gaussian-gated-mixture-of-experts-2305.07572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-convergence-rates-for-parameter-estimation-in-gaussian-gated-mixture-of-experts-2305.07572"/></url>
<url><loc>https://scifaro.com/en/abs/fisher-information-embedding-for-node-and-graph-learning-2305.07580</loc><lastmod>2023-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fisher-information-embedding-for-node-and-graph-learning-2305.07580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fisher-information-embedding-for-node-and-graph-learning-2305.07580"/></url>
<url><loc>https://scifaro.com/en/abs/a-flow-based-generative-model-for-rare-event-simulation-2305.07863</loc><lastmod>2023-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-flow-based-generative-model-for-rare-event-simulation-2305.07863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-flow-based-generative-model-for-rare-event-simulation-2305.07863"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-and-scaling-of-boolean-weight-optimization-for-hardware-reservoirs-2305.07908</loc><lastmod>2023-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-and-scaling-of-boolean-weight-optimization-for-hardware-reservoirs-2305.07908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-and-scaling-of-boolean-weight-optimization-for-hardware-reservoirs-2305.07908"/></url>
<url><loc>https://scifaro.com/en/abs/tight-and-fast-generalization-error-bound-of-graph-embedding-in-metric-space-2305.07971</loc><lastmod>2023-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-and-fast-generalization-error-bound-of-graph-embedding-in-metric-space-2305.07971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-and-fast-generalization-error-bound-of-graph-embedding-in-metric-space-2305.07971"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-evaluation-for-large-action-spaces-via-conjunct-effect-modeling-2305.08062</loc><lastmod>2023-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-evaluation-for-large-action-spaces-via-conjunct-effect-modeling-2305.08062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-evaluation-for-large-action-spaces-via-conjunct-effect-modeling-2305.08062"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-analysis-of-mean-shift-2305.08463</loc><lastmod>2023-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-analysis-of-mean-shift-2305.08463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-analysis-of-mean-shift-2305.08463"/></url>
<url><loc>https://scifaro.com/en/abs/label-smoothing-is-robustification-against-model-misspecification-2305.08501</loc><lastmod>2023-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-smoothing-is-robustification-against-model-misspecification-2305.08501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-smoothing-is-robustification-against-model-misspecification-2305.08501"/></url>
<url><loc>https://scifaro.com/en/abs/double-weighting-for-covariate-shift-adaptation-2305.08637</loc><lastmod>2023-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/double-weighting-for-covariate-shift-adaptation-2305.08637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/double-weighting-for-covariate-shift-adaptation-2305.08637"/></url>
<url><loc>https://scifaro.com/en/abs/topological-interpretability-for-deep-learning-2305.08642</loc><lastmod>2024-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topological-interpretability-for-deep-learning-2305.08642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topological-interpretability-for-deep-learning-2305.08642"/></url>
<url><loc>https://scifaro.com/en/abs/meta-models-for-transfer-learning-in-source-localisation-2305.08657</loc><lastmod>2024-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-models-for-transfer-learning-in-source-localisation-2305.08657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-models-for-transfer-learning-in-source-localisation-2305.08657"/></url>
<url><loc>https://scifaro.com/en/abs/fair-information-spread-on-social-networks-with-community-structure-2305.08791</loc><lastmod>2023-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-information-spread-on-social-networks-with-community-structure-2305.08791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-information-spread-on-social-networks-with-community-structure-2305.08791"/></url>
<url><loc>https://scifaro.com/en/abs/ski-to-go-faster-accelerating-toeplitz-neural-networks-via-asymmetric-kernels-2305.09028</loc><lastmod>2023-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ski-to-go-faster-accelerating-toeplitz-neural-networks-via-asymmetric-kernels-2305.09028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ski-to-go-faster-accelerating-toeplitz-neural-networks-via-asymmetric-kernels-2305.09028"/></url>
<url><loc>https://scifaro.com/en/abs/lp-and-risk-consistency-of-localized-svms-2305.09385</loc><lastmod>2023-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lp-and-risk-consistency-of-localized-svms-2305.09385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lp-and-risk-consistency-of-localized-svms-2305.09385"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-study-of-methods-for-estimating-conditional-shapley-values-and-when-to-use-them-2305.09536</loc><lastmod>2024-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-study-of-methods-for-estimating-conditional-shapley-values-and-when-to-use-them-2305.09536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-study-of-methods-for-estimating-conditional-shapley-values-and-when-to-use-them-2305.09536"/></url>
<url><loc>https://scifaro.com/en/abs/toward-falsifying-causal-graphs-using-a-permutation-based-test-2305.09565</loc><lastmod>2024-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-falsifying-causal-graphs-using-a-permutation-based-test-2305.09565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-falsifying-causal-graphs-using-a-permutation-based-test-2305.09565"/></url>
<url><loc>https://scifaro.com/en/abs/to-smooth-a-cloud-or-to-pin-it-down-guarantees-and-insights-on-score-matching-in-denoising-diffusion-models-2305.09605</loc><lastmod>2024-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/to-smooth-a-cloud-or-to-pin-it-down-guarantees-and-insights-on-score-matching-in-denoising-diffusion-models-2305.09605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/to-smooth-a-cloud-or-to-pin-it-down-guarantees-and-insights-on-score-matching-in-denoising-diffusion-models-2305.09605"/></url>
<url><loc>https://scifaro.com/en/abs/balancing-risk-and-reward-an-automated-phased-release-strategy-2305.09626</loc><lastmod>2023-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balancing-risk-and-reward-an-automated-phased-release-strategy-2305.09626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balancing-risk-and-reward-an-automated-phased-release-strategy-2305.09626"/></url>
<url><loc>https://scifaro.com/en/abs/utility-theory-of-synthetic-data-generation-2305.10015</loc><lastmod>2025-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/utility-theory-of-synthetic-data-generation-2305.10015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/utility-theory-of-synthetic-data-generation-2305.10015"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-weighted-random-forests-2305.10042</loc><lastmod>2023-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-weighted-random-forests-2305.10042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-weighted-random-forests-2305.10042"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-hyperparameter-tuning-in-sparse-matrix-factorization-2305.10114</loc><lastmod>2023-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-hyperparameter-tuning-in-sparse-matrix-factorization-2305.10114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-hyperparameter-tuning-in-sparse-matrix-factorization-2305.10114"/></url>
<url><loc>https://scifaro.com/en/abs/a-global-local-approximation-framework-for-large-scale-gaussian-process-modeling-2305.10158</loc><lastmod>2023-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-global-local-approximation-framework-for-large-scale-gaussian-process-modeling-2305.10158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-global-local-approximation-framework-for-large-scale-gaussian-process-modeling-2305.10158"/></url>
<url><loc>https://scifaro.com/en/abs/separability-and-scatteredness-s-s-ratio-based-efficient-svm-regularization-parameter-kernel-and-kernel-parameter-selection-2305.10219</loc><lastmod>2023-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/separability-and-scatteredness-s-s-ratio-based-efficient-svm-regularization-parameter-kernel-and-kernel-parameter-selection-2305.10219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/separability-and-scatteredness-s-s-ratio-based-efficient-svm-regularization-parameter-kernel-and-kernel-parameter-selection-2305.10219"/></url>
<url><loc>https://scifaro.com/en/abs/on-consistency-of-signature-using-lasso-2305.10413</loc><lastmod>2026-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-consistency-of-signature-using-lasso-2305.10413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-consistency-of-signature-using-lasso-2305.10413"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactually-comparing-abstaining-classifiers-2305.10564</loc><lastmod>2023-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactually-comparing-abstaining-classifiers-2305.10564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactually-comparing-abstaining-classifiers-2305.10564"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-products-and-hyperdimensional-computing-2305.10572</loc><lastmod>2023-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-products-and-hyperdimensional-computing-2305.10572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-products-and-hyperdimensional-computing-2305.10572"/></url>
<url><loc>https://scifaro.com/en/abs/posterior-inference-on-shallow-infinitely-wide-bayesian-neural-networks-under-weights-with-unbounded-variance-2305.10664</loc><lastmod>2024-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/posterior-inference-on-shallow-infinitely-wide-bayesian-neural-networks-under-weights-with-unbounded-variance-2305.10664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/posterior-inference-on-shallow-infinitely-wide-bayesian-neural-networks-under-weights-with-unbounded-variance-2305.10664"/></url>
<url><loc>https://scifaro.com/en/abs/functional-sufficient-dimension-reduction-through-information-maximization-with-application-to-classification-2305.10880</loc><lastmod>2024-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-sufficient-dimension-reduction-through-information-maximization-with-application-to-classification-2305.10880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-sufficient-dimension-reduction-through-information-maximization-with-application-to-classification-2305.10880"/></url>
<url><loc>https://scifaro.com/en/abs/small-noise-analysis-for-tikhonov-and-rkhs-regularizations-2305.11055</loc><lastmod>2024-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/small-noise-analysis-for-tikhonov-and-rkhs-regularizations-2305.11055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/small-noise-analysis-for-tikhonov-and-rkhs-regularizations-2305.11055"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-foundations-of-prior-data-fitted-networks-2305.11097</loc><lastmod>2023-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-foundations-of-prior-data-fitted-networks-2305.11097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-foundations-of-prior-data-fitted-networks-2305.11097"/></url>
<url><loc>https://scifaro.com/en/abs/attacks-on-online-learners-a-teacher-student-analysis-2305.11132</loc><lastmod>2023-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attacks-on-online-learners-a-teacher-student-analysis-2305.11132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attacks-on-online-learners-a-teacher-student-analysis-2305.11132"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-variational-method-for-learning-neural-trajectory-and-its-dynamics-2305.11278</loc><lastmod>2023-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-variational-method-for-learning-neural-trajectory-and-its-dynamics-2305.11278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-variational-method-for-learning-neural-trajectory-and-its-dynamics-2305.11278"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-for-heterogeneous-treatment-effect-estimation-with-closed-form-solvers-2305.11353</loc><lastmod>2023-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-for-heterogeneous-treatment-effect-estimation-with-closed-form-solvers-2305.11353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-for-heterogeneous-treatment-effect-estimation-with-closed-form-solvers-2305.11353"/></url>
<url><loc>https://scifaro.com/en/abs/the-deep-promotion-time-cure-model-2305.11575</loc><lastmod>2024-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-deep-promotion-time-cure-model-2305.11575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-deep-promotion-time-cure-model-2305.11575"/></url>
<url><loc>https://scifaro.com/en/abs/moment-matching-denoising-gibbs-sampling-2305.11650</loc><lastmod>2024-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moment-matching-denoising-gibbs-sampling-2305.11650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moment-matching-denoising-gibbs-sampling-2305.11650"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-operators-on-graphs-spectral-clustering-and-beyond-2305.11766</loc><lastmod>2024-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-operators-on-graphs-spectral-clustering-and-beyond-2305.11766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-operators-on-graphs-spectral-clustering-and-beyond-2305.11766"/></url>
<url><loc>https://scifaro.com/en/abs/improving-multimodal-joint-variational-autoencoders-through-normalizing-flows-and-correlation-analysis-2305.11832</loc><lastmod>2023-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-multimodal-joint-variational-autoencoders-through-normalizing-flows-and-correlation-analysis-2305.11832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-multimodal-joint-variational-autoencoders-through-normalizing-flows-and-correlation-analysis-2305.11832"/></url>
<url><loc>https://scifaro.com/en/abs/computing-high-dimensional-optimal-transport-by-flow-neural-networks-2305.11857</loc><lastmod>2025-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-high-dimensional-optimal-transport-by-flow-neural-networks-2305.11857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-high-dimensional-optimal-transport-by-flow-neural-networks-2305.11857"/></url>
<url><loc>https://scifaro.com/en/abs/robust-counterfactual-explanations-for-neural-networks-with-probabilistic-guarantees-2305.11997</loc><lastmod>2024-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-counterfactual-explanations-for-neural-networks-with-probabilistic-guarantees-2305.11997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-counterfactual-explanations-for-neural-networks-with-probabilistic-guarantees-2305.11997"/></url>
<url><loc>https://scifaro.com/en/abs/uniform-in-time-wasserstein-stability-bounds-for-noisy-stochastic-gradient-descent-2305.12056</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uniform-in-time-wasserstein-stability-bounds-for-noisy-stochastic-gradient-descent-2305.12056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uniform-in-time-wasserstein-stability-bounds-for-noisy-stochastic-gradient-descent-2305.12056"/></url>
<url><loc>https://scifaro.com/en/abs/how-spurious-features-are-memorized-precise-analysis-for-random-and-ntk-features-2305.12100</loc><lastmod>2024-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-spurious-features-are-memorized-precise-analysis-for-random-and-ntk-features-2305.12100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-spurious-features-are-memorized-precise-analysis-for-random-and-ntk-features-2305.12100"/></url>
<url><loc>https://scifaro.com/en/abs/normalizing-flow-sampling-with-langevin-dynamics-in-the-latent-space-2305.12149</loc><lastmod>2023-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normalizing-flow-sampling-with-langevin-dynamics-in-the-latent-space-2305.12149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normalizing-flow-sampling-with-langevin-dynamics-in-the-latent-space-2305.12149"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-inverse-regression-for-dimension-reduction-2305.12287</loc><lastmod>2023-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-inverse-regression-for-dimension-reduction-2305.12287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-inverse-regression-for-dimension-reduction-2305.12287"/></url>
<url><loc>https://scifaro.com/en/abs/when-are-ensembles-really-effective-2305.12313</loc><lastmod>2023-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-are-ensembles-really-effective-2305.12313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-are-ensembles-really-effective-2305.12313"/></url>
<url><loc>https://scifaro.com/en/abs/quasi-monte-carlo-graph-random-features-2305.12470</loc><lastmod>2023-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quasi-monte-carlo-graph-random-features-2305.12470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quasi-monte-carlo-graph-random-features-2305.12470"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-generative-modeling-for-high-dimensional-marked-temporal-point-processes-2305.12569</loc><lastmod>2025-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-generative-modeling-for-high-dimensional-marked-temporal-point-processes-2305.12569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-generative-modeling-for-high-dimensional-marked-temporal-point-processes-2305.12569"/></url>
<url><loc>https://scifaro.com/en/abs/conformal-inference-for-invariant-risk-minimization-2305.12686</loc><lastmod>2023-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformal-inference-for-invariant-risk-minimization-2305.12686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformal-inference-for-invariant-risk-minimization-2305.12686"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-numerical-integration-with-neural-networks-2305.13248</loc><lastmod>2023-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-numerical-integration-with-neural-networks-2305.13248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-numerical-integration-with-neural-networks-2305.13248"/></url>
<url><loc>https://scifaro.com/en/abs/magdiff-covariate-data-set-shift-detection-via-activation-graphs-of-deep-neural-networks-2305.13271</loc><lastmod>2024-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/magdiff-covariate-data-set-shift-detection-via-activation-graphs-of-deep-neural-networks-2305.13271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/magdiff-covariate-data-set-shift-detection-via-activation-graphs-of-deep-neural-networks-2305.13271"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-estimation-from-an-ornstein-uhlenbeck-process-with-measurement-noise-2305.13498</loc><lastmod>2024-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-estimation-from-an-ornstein-uhlenbeck-process-with-measurement-noise-2305.13498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-estimation-from-an-ornstein-uhlenbeck-process-with-measurement-noise-2305.13498"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-guarantees-of-group-invariant-gans-2305.13517</loc><lastmod>2025-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-guarantees-of-group-invariant-gans-2305.13517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-guarantees-of-group-invariant-gans-2305.13517"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-with-kernels-through-rkhm-and-the-perron-frobenius-operator-2305.13588</loc><lastmod>2023-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-with-kernels-through-rkhm-and-the-perron-frobenius-operator-2305.13588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-with-kernels-through-rkhm-and-the-perron-frobenius-operator-2305.13588"/></url>
<url><loc>https://scifaro.com/en/abs/covariate-balancing-using-the-integral-probability-metric-for-causal-inference-2305.13715</loc><lastmod>2023-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covariate-balancing-using-the-integral-probability-metric-for-causal-inference-2305.13715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covariate-balancing-using-the-integral-probability-metric-for-causal-inference-2305.13715"/></url>
<url><loc>https://scifaro.com/en/abs/subsampling-error-in-stochastic-gradient-langevin-diffusions-2305.13882</loc><lastmod>2024-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subsampling-error-in-stochastic-gradient-langevin-diffusions-2305.13882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subsampling-error-in-stochastic-gradient-langevin-diffusions-2305.13882"/></url>
<url><loc>https://scifaro.com/en/abs/mind-the-spikes-benign-overfitting-of-kernels-and-neural-networks-in-fixed-dimension-2305.14077</loc><lastmod>2024-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mind-the-spikes-benign-overfitting-of-kernels-and-neural-networks-in-fixed-dimension-2305.14077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mind-the-spikes-benign-overfitting-of-kernels-and-neural-networks-in-fixed-dimension-2305.14077"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-preconditioning-and-fisher-adaptive-langevin-sampling-2305.14442</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-preconditioning-and-fisher-adaptive-langevin-sampling-2305.14442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-preconditioning-and-fisher-adaptive-langevin-sampling-2305.14442"/></url>
<url><loc>https://scifaro.com/en/abs/an-improved-variational-approximate-posterior-for-the-deep-wishart-process-2305.14454</loc><lastmod>2023-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improved-variational-approximate-posterior-for-the-deep-wishart-process-2305.14454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improved-variational-approximate-posterior-for-the-deep-wishart-process-2305.14454"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-learning-via-moderate-deviations-theory-2305.14496</loc><lastmod>2025-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-learning-via-moderate-deviations-theory-2305.14496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-learning-via-moderate-deviations-theory-2305.14496"/></url>
<url><loc>https://scifaro.com/en/abs/deep-functional-factor-models-forecasting-high-dimensional-functional-time-series-via-bayesian-nonparametric-factorization-2305.14543</loc><lastmod>2026-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-functional-factor-models-forecasting-high-dimensional-functional-time-series-via-bayesian-nonparametric-factorization-2305.14543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-functional-factor-models-forecasting-high-dimensional-functional-time-series-via-bayesian-nonparametric-factorization-2305.14543"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-calibration-check-bayesian-computation-from-simulations-and-flexible-classifier-2305.14593</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-calibration-check-bayesian-computation-from-simulations-and-flexible-classifier-2305.14593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-calibration-check-bayesian-computation-from-simulations-and-flexible-classifier-2305.14593"/></url>
<url><loc>https://scifaro.com/en/abs/taylor-learning-2305.14606</loc><lastmod>2023-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taylor-learning-2305.14606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taylor-learning-2305.14606"/></url>
<url><loc>https://scifaro.com/en/abs/least-squares-regression-can-exhibit-under-parameterized-double-descent-2305.14689</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/least-squares-regression-can-exhibit-under-parameterized-double-descent-2305.14689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/least-squares-regression-can-exhibit-under-parameterized-double-descent-2305.14689"/></url>
<url><loc>https://scifaro.com/en/abs/masked-bayesian-neural-networks-theoretical-guarantee-and-its-posterior-inference-2305.14765</loc><lastmod>2023-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/masked-bayesian-neural-networks-theoretical-guarantee-and-its-posterior-inference-2305.14765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/masked-bayesian-neural-networks-theoretical-guarantee-and-its-posterior-inference-2305.14765"/></url>
<url><loc>https://scifaro.com/en/abs/tuning-free-maximum-likelihood-training-of-latent-variable-models-via-coin-betting-2305.14916</loc><lastmod>2024-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tuning-free-maximum-likelihood-training-of-latent-variable-models-via-coin-betting-2305.14916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tuning-free-maximum-likelihood-training-of-latent-variable-models-via-coin-betting-2305.14916"/></url>
<url><loc>https://scifaro.com/en/abs/learning-rate-free-sampling-in-constrained-domains-2305.14943</loc><lastmod>2023-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-rate-free-sampling-in-constrained-domains-2305.14943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-rate-free-sampling-in-constrained-domains-2305.14943"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-survival-analysis-a-review-2305.14961</loc><lastmod>2024-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-survival-analysis-a-review-2305.14961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-survival-analysis-a-review-2305.14961"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-clustering-with-dot-products-recovers-hidden-tree-structure-2305.15022</loc><lastmod>2024-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-clustering-with-dot-products-recovers-hidden-tree-structure-2305.15022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-clustering-with-dot-products-recovers-hidden-tree-structure-2305.15022"/></url>
<url><loc>https://scifaro.com/en/abs/a-rigorous-link-between-deep-ensembles-and-variational-bayesian-methods-2305.15027</loc><lastmod>2023-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-rigorous-link-between-deep-ensembles-and-variational-bayesian-methods-2305.15027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-rigorous-link-between-deep-ensembles-and-variational-bayesian-methods-2305.15027"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-the-uncertain-stochastic-shapley-values-for-gaussian-process-models-2305.15167</loc><lastmod>2023-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-the-uncertain-stochastic-shapley-values-for-gaussian-process-models-2305.15167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-the-uncertain-stochastic-shapley-values-for-gaussian-process-models-2305.15167"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-bayesian-inference-for-scientific-simulators-via-amortized-cost-estimation-2305.15208</loc><lastmod>2023-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-bayesian-inference-for-scientific-simulators-via-amortized-cost-estimation-2305.15208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-bayesian-inference-for-scientific-simulators-via-amortized-cost-estimation-2305.15208"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-robust-learning-mixtures-of-linear-regressions-2305.15317</loc><lastmod>2023-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-robust-learning-mixtures-of-linear-regressions-2305.15317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-robust-learning-mixtures-of-linear-regressions-2305.15317"/></url>
<url><loc>https://scifaro.com/en/abs/deep-stochastic-processes-via-functional-markov-transition-operators-2305.15574</loc><lastmod>2023-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-stochastic-processes-via-functional-markov-transition-operators-2305.15574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-stochastic-processes-via-functional-markov-transition-operators-2305.15574"/></url>
<url><loc>https://scifaro.com/en/abs/minimizing-f-divergences-by-interpolating-velocity-fields-2305.15577</loc><lastmod>2024-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimizing-f-divergences-by-interpolating-velocity-fields-2305.15577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimizing-f-divergences-by-interpolating-velocity-fields-2305.15577"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-machine-learning-based-on-functional-anova-framework-algorithms-and-comparisons-2305.15670</loc><lastmod>2023-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-machine-learning-based-on-functional-anova-framework-algorithms-and-comparisons-2305.15670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-machine-learning-based-on-functional-anova-framework-algorithms-and-comparisons-2305.15670"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-generative-models-for-time-varying-treatments-2305.15742</loc><lastmod>2024-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-generative-models-for-time-varying-treatments-2305.15742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-generative-models-for-time-varying-treatments-2305.15742"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-the-spatial-structure-of-the-association-between-attendance-at-preschool-and-childrens-developmental-vulnerabilities-in-queensland-australia-2305.15746</loc><lastmod>2023-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-the-spatial-structure-of-the-association-between-attendance-at-preschool-and-childrens-developmental-vulnerabilities-in-queensland-australia-2305.15746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-the-spatial-structure-of-the-association-between-attendance-at-preschool-and-childrens-developmental-vulnerabilities-in-queensland-australia-2305.15746"/></url>
<url><loc>https://scifaro.com/en/abs/dp-ldms-differentially-private-latent-diffusion-models-2305.15759</loc><lastmod>2025-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dp-ldms-differentially-private-latent-diffusion-models-2305.15759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dp-ldms-differentially-private-latent-diffusion-models-2305.15759"/></url>
<url><loc>https://scifaro.com/en/abs/small-total-cost-constraints-in-contextual-bandits-with-knapsacks-with-application-to-fairness-2305.15807</loc><lastmod>2023-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/small-total-cost-constraints-in-contextual-bandits-with-knapsacks-with-application-to-fairness-2305.15807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/small-total-cost-constraints-in-contextual-bandits-with-knapsacks-with-application-to-fairness-2305.15807"/></url>
<url><loc>https://scifaro.com/en/abs/embeddings-between-barron-spaces-with-higher-order-activation-functions-2305.15839</loc><lastmod>2024-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embeddings-between-barron-spaces-with-higher-order-activation-functions-2305.15839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embeddings-between-barron-spaces-with-higher-order-activation-functions-2305.15839"/></url>
<url><loc>https://scifaro.com/en/abs/learning-robust-statistics-for-simulation-based-inference-under-model-misspecification-2305.15871</loc><lastmod>2023-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-robust-statistics-for-simulation-based-inference-under-model-misspecification-2305.15871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-robust-statistics-for-simulation-based-inference-under-model-misspecification-2305.15871"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-identifiability-of-switching-dynamical-systems-2305.15925</loc><lastmod>2024-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-identifiability-of-switching-dynamical-systems-2305.15925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-identifiability-of-switching-dynamical-systems-2305.15925"/></url>
<url><loc>https://scifaro.com/en/abs/non-log-concave-and-nonsmooth-sampling-via-langevin-monte-carlo-algorithms-2305.15988</loc><lastmod>2024-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-log-concave-and-nonsmooth-sampling-via-langevin-monte-carlo-algorithms-2305.15988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-log-concave-and-nonsmooth-sampling-via-langevin-monte-carlo-algorithms-2305.15988"/></url>
<url><loc>https://scifaro.com/en/abs/how-many-samples-are-needed-to-leverage-smoothness-2305.16014</loc><lastmod>2023-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-many-samples-are-needed-to-leverage-smoothness-2305.16014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-many-samples-are-needed-to-leverage-smoothness-2305.16014"/></url>
<url><loc>https://scifaro.com/en/abs/an-varepsilon-best-arm-identification-algorithm-for-fixed-confidence-and-beyond-2305.16041</loc><lastmod>2023-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-varepsilon-best-arm-identification-algorithm-for-fixed-confidence-and-beyond-2305.16041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-varepsilon-best-arm-identification-algorithm-for-fixed-confidence-and-beyond-2305.16041"/></url>
<url><loc>https://scifaro.com/en/abs/trans-dimensional-generative-modeling-via-jump-diffusion-models-2305.16261</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trans-dimensional-generative-modeling-via-jump-diffusion-models-2305.16261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trans-dimensional-generative-modeling-via-jump-diffusion-models-2305.16261"/></url>
<url><loc>https://scifaro.com/en/abs/non-adversarial-training-of-neural-sdes-with-signature-kernel-scores-2305.16274</loc><lastmod>2023-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-adversarial-training-of-neural-sdes-with-signature-kernel-scores-2305.16274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-adversarial-training-of-neural-sdes-with-signature-kernel-scores-2305.16274"/></url>
<url><loc>https://scifaro.com/en/abs/bi-fidelity-variational-auto-encoder-for-uncertainty-quantification-2305.16530</loc><lastmod>2024-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bi-fidelity-variational-auto-encoder-for-uncertainty-quantification-2305.16530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bi-fidelity-variational-auto-encoder-for-uncertainty-quantification-2305.16530"/></url>
<url><loc>https://scifaro.com/en/abs/variation-spaces-for-multi-output-neural-networks-insights-on-multi-task-learning-and-network-compression-2305.16534</loc><lastmod>2024-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variation-spaces-for-multi-output-neural-networks-insights-on-multi-task-learning-and-network-compression-2305.16534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variation-spaces-for-multi-output-neural-networks-insights-on-multi-task-learning-and-network-compression-2305.16534"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-structured-variational-autoencoders-2305.16543</loc><lastmod>2023-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-structured-variational-autoencoders-2305.16543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-structured-variational-autoencoders-2305.16543"/></url>
<url><loc>https://scifaro.com/en/abs/tree-based-diffusion-schr-odinger-bridge-with-applications-to-wasserstein-barycenters-2305.16557</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tree-based-diffusion-schr-odinger-bridge-with-applications-to-wasserstein-barycenters-2305.16557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tree-based-diffusion-schr-odinger-bridge-with-applications-to-wasserstein-barycenters-2305.16557"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-errors-in-a-numerical-response-via-any-regression-model-2305.16583</loc><lastmod>2024-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-errors-in-a-numerical-response-via-any-regression-model-2305.16583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-errors-in-a-numerical-response-via-any-regression-model-2305.16583"/></url>
<url><loc>https://scifaro.com/en/abs/sources-of-uncertainty-in-supervised-machine-learning-a-statisticians-view-2305.16703</loc><lastmod>2025-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sources-of-uncertainty-in-supervised-machine-learning-a-statisticians-view-2305.16703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sources-of-uncertainty-in-supervised-machine-learning-a-statisticians-view-2305.16703"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-generalization-and-approximation-capacities-of-neural-controlled-differential-equations-2305.16791</loc><lastmod>2024-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-generalization-and-approximation-capacities-of-neural-controlled-differential-equations-2305.16791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-generalization-and-approximation-capacities-of-neural-controlled-differential-equations-2305.16791"/></url>
<url><loc>https://scifaro.com/en/abs/a-robust-probabilistic-approach-to-stochastic-subspace-identification-2305.16836</loc><lastmod>2024-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-robust-probabilistic-approach-to-stochastic-subspace-identification-2305.16836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-robust-probabilistic-approach-to-stochastic-subspace-identification-2305.16836"/></url>
<url><loc>https://scifaro.com/en/abs/error-bounds-for-flow-matching-methods-2305.16860</loc><lastmod>2024-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-bounds-for-flow-matching-methods-2305.16860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-bounds-for-flow-matching-methods-2305.16860"/></url>
<url><loc>https://scifaro.com/en/abs/improving-neural-additive-models-with-bayesian-principles-2305.16905</loc><lastmod>2024-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-neural-additive-models-with-bayesian-principles-2305.16905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-neural-additive-models-with-bayesian-principles-2305.16905"/></url>
<url><loc>https://scifaro.com/en/abs/better-batch-for-deep-probabilistic-time-series-forecasting-2305.17028</loc><lastmod>2024-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/better-batch-for-deep-probabilistic-time-series-forecasting-2305.17028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/better-batch-for-deep-probabilistic-time-series-forecasting-2305.17028"/></url>
<url><loc>https://scifaro.com/en/abs/vecchia-gaussian-process-ensembles-on-internal-representations-of-deep-neural-networks-2305.17063</loc><lastmod>2025-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vecchia-gaussian-process-ensembles-on-internal-representations-of-deep-neural-networks-2305.17063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vecchia-gaussian-process-ensembles-on-internal-representations-of-deep-neural-networks-2305.17063"/></url>
<url><loc>https://scifaro.com/en/abs/a-policy-gradient-method-for-confounded-pomdps-2305.17083</loc><lastmod>2023-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-policy-gradient-method-for-confounded-pomdps-2305.17083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-policy-gradient-method-for-confounded-pomdps-2305.17083"/></url>
<url><loc>https://scifaro.com/en/abs/error-bounds-for-learning-with-vector-valued-random-features-2305.17170</loc><lastmod>2024-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-bounds-for-learning-with-vector-valued-random-features-2305.17170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-bounds-for-learning-with-vector-valued-random-features-2305.17170"/></url>
<url><loc>https://scifaro.com/en/abs/causal-component-analysis-2305.17225</loc><lastmod>2024-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-component-analysis-2305.17225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-component-analysis-2305.17225"/></url>
<url><loc>https://scifaro.com/en/abs/finemorphs-affine-diffeomorphic-sequences-for-regression-2305.17255</loc><lastmod>2023-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finemorphs-affine-diffeomorphic-sequences-for-regression-2305.17255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finemorphs-affine-diffeomorphic-sequences-for-regression-2305.17255"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-notears-objectives-via-topological-swaps-2305.17277</loc><lastmod>2023-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-notears-objectives-via-topological-swaps-2305.17277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-notears-objectives-via-topological-swaps-2305.17277"/></url>
<url><loc>https://scifaro.com/en/abs/improving-stability-in-decision-tree-models-2305.17299</loc><lastmod>2023-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-stability-in-decision-tree-models-2305.17299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-stability-in-decision-tree-models-2305.17299"/></url>
<url><loc>https://scifaro.com/en/abs/structured-model-selection-via-ell-1-ell-2-optimization-2305.17467</loc><lastmod>2023-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-model-selection-via-ell-1-ell-2-optimization-2305.17467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-model-selection-via-ell-1-ell-2-optimization-2305.17467"/></url>
<url><loc>https://scifaro.com/en/abs/the-implicit-regularization-of-dynamical-stability-in-stochastic-gradient-descent-2305.17490</loc><lastmod>2023-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-implicit-regularization-of-dynamical-stability-in-stochastic-gradient-descent-2305.17490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-implicit-regularization-of-dynamical-stability-in-stochastic-gradient-descent-2305.17490"/></url>
<url><loc>https://scifaro.com/en/abs/fair-clustering-via-hierarchical-fair-dirichlet-process-2305.17557</loc><lastmod>2023-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-clustering-via-hierarchical-fair-dirichlet-process-2305.17557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-clustering-via-hierarchical-fair-dirichlet-process-2305.17557"/></url>
<url><loc>https://scifaro.com/en/abs/provably-fast-finite-particle-variants-of-svgd-via-virtual-particle-stochastic-approximation-2305.17558</loc><lastmod>2023-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-fast-finite-particle-variants-of-svgd-via-virtual-particle-stochastic-approximation-2305.17558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-fast-finite-particle-variants-of-svgd-via-virtual-particle-stochastic-approximation-2305.17558"/></url>
<url><loc>https://scifaro.com/en/abs/auditing-fairness-by-betting-2305.17570</loc><lastmod>2025-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auditing-fairness-by-betting-2305.17570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auditing-fairness-by-betting-2305.17570"/></url>
<url><loc>https://scifaro.com/en/abs/on-neural-networks-as-infinite-tree-structured-probabilistic-graphical-models-2305.17583</loc><lastmod>2025-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-neural-networks-as-infinite-tree-structured-probabilistic-graphical-models-2305.17583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-neural-networks-as-infinite-tree-structured-probabilistic-graphical-models-2305.17583"/></url>
<url><loc>https://scifaro.com/en/abs/how-two-layer-neural-networks-learn-one-giant-step-at-a-time-2305.18270</loc><lastmod>2025-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-two-layer-neural-networks-learn-one-giant-step-at-a-time-2305.18270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-two-layer-neural-networks-learn-one-giant-step-at-a-time-2305.18270"/></url>
<url><loc>https://scifaro.com/en/abs/a-three-regime-model-of-network-pruning-2305.18383</loc><lastmod>2024-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-three-regime-model-of-network-pruning-2305.18383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-three-regime-model-of-network-pruning-2305.18383"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-role-of-noise-in-the-sample-complexity-of-learning-recurrent-neural-networks-exponential-gaps-for-long-sequences-2305.18423</loc><lastmod>2023-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-role-of-noise-in-the-sample-complexity-of-learning-recurrent-neural-networks-exponential-gaps-for-long-sequences-2305.18423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-role-of-noise-in-the-sample-complexity-of-learning-recurrent-neural-networks-exponential-gaps-for-long-sequences-2305.18423"/></url>
<url><loc>https://scifaro.com/en/abs/statistically-optimal-k-means-clustering-via-nonnegative-low-rank-semidefinite-programming-2305.18436</loc><lastmod>2024-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistically-optimal-k-means-clustering-via-nonnegative-low-rank-semidefinite-programming-2305.18436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistically-optimal-k-means-clustering-via-nonnegative-low-rank-semidefinite-programming-2305.18436"/></url>
<url><loc>https://scifaro.com/en/abs/neural-fourier-transform-a-general-approach-to-equivariant-representation-learning-2305.18484</loc><lastmod>2024-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-fourier-transform-a-general-approach-to-equivariant-representation-learning-2305.18484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-fourier-transform-a-general-approach-to-equivariant-representation-learning-2305.18484"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-sparse-factor-model-with-adaptive-posterior-concentration-2305.18488</loc><lastmod>2023-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-sparse-factor-model-with-adaptive-posterior-concentration-2305.18488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-sparse-factor-model-with-adaptive-posterior-concentration-2305.18488"/></url>
<url><loc>https://scifaro.com/en/abs/escaping-mediocrity-how-two-layer-networks-learn-hard-generalized-linear-models-with-sgd-2305.18502</loc><lastmod>2024-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/escaping-mediocrity-how-two-layer-networks-learn-hard-generalized-linear-models-with-sgd-2305.18502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/escaping-mediocrity-how-two-layer-networks-learn-hard-generalized-linear-models-with-sgd-2305.18502"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-ability-of-wide-residual-networks-2305.18506</loc><lastmod>2023-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-ability-of-wide-residual-networks-2305.18506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-ability-of-wide-residual-networks-2305.18506"/></url>
<url><loc>https://scifaro.com/en/abs/perturbation-assisted-sample-synthesis-a-novel-approach-for-uncertainty-quantification-2305.18671</loc><lastmod>2024-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perturbation-assisted-sample-synthesis-a-novel-approach-for-uncertainty-quantification-2305.18671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perturbation-assisted-sample-synthesis-a-novel-approach-for-uncertainty-quantification-2305.18671"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-adaptive-sampling-unify-pinn-and-optimal-transport-for-the-approximation-of-pdes-2305.18702</loc><lastmod>2024-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-adaptive-sampling-unify-pinn-and-optimal-transport-for-the-approximation-of-pdes-2305.18702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-adaptive-sampling-unify-pinn-and-optimal-transport-for-the-approximation-of-pdes-2305.18702"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-characterisation-of-robust-empirical-risk-minimisation-performance-in-the-presence-of-outliers-2305.18974</loc><lastmod>2024-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-characterisation-of-robust-empirical-risk-minimisation-performance-in-the-presence-of-outliers-2305.18974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-characterisation-of-robust-empirical-risk-minimisation-performance-in-the-presence-of-outliers-2305.18974"/></url>
<url><loc>https://scifaro.com/en/abs/high-probability-sample-complexities-for-policy-evaluation-with-linear-function-approximation-2305.19001</loc><lastmod>2024-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-probability-sample-complexities-for-policy-evaluation-with-linear-function-approximation-2305.19001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-probability-sample-complexities-for-policy-evaluation-with-linear-function-approximation-2305.19001"/></url>
<url><loc>https://scifaro.com/en/abs/embedding-inequalities-for-barron-type-spaces-2305.19082</loc><lastmod>2024-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embedding-inequalities-for-barron-type-spaces-2305.19082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embedding-inequalities-for-barron-type-spaces-2305.19082"/></url>
<url><loc>https://scifaro.com/en/abs/elsa-efficient-label-shift-adaptation-through-the-lens-of-semiparametric-models-2305.19123</loc><lastmod>2023-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elsa-efficient-label-shift-adaptation-through-the-lens-of-semiparametric-models-2305.19123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elsa-efficient-label-shift-adaptation-through-the-lens-of-semiparametric-models-2305.19123"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-score-based-diffusion-models-for-bayesian-inference-in-infinite-dimensions-2305.19147</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-score-based-diffusion-models-for-bayesian-inference-in-infinite-dimensions-2305.19147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-score-based-diffusion-models-for-bayesian-inference-in-infinite-dimensions-2305.19147"/></url>
<url><loc>https://scifaro.com/en/abs/dotears-scalable-consistent-dag-estimation-using-observational-and-interventional-data-2305.19215</loc><lastmod>2024-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dotears-scalable-consistent-dag-estimation-using-observational-and-interventional-data-2305.19215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dotears-scalable-consistent-dag-estimation-using-observational-and-interventional-data-2305.19215"/></url>
<url><loc>https://scifaro.com/en/abs/improving-generalization-of-complex-models-under-unbounded-loss-using-pac-bayes-bounds-2305.19243</loc><lastmod>2024-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-generalization-of-complex-models-under-unbounded-loss-using-pac-bayes-bounds-2305.19243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-generalization-of-complex-models-under-unbounded-loss-using-pac-bayes-bounds-2305.19243"/></url>
<url><loc>https://scifaro.com/en/abs/testing-for-the-markov-property-in-time-series-via-deep-conditional-generative-learning-2305.19244</loc><lastmod>2023-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-for-the-markov-property-in-time-series-via-deep-conditional-generative-learning-2305.19244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-for-the-markov-property-in-time-series-via-deep-conditional-generative-learning-2305.19244"/></url>
<url><loc>https://scifaro.com/en/abs/parallelized-acquisition-for-active-learning-using-monte-carlo-sampling-2305.19267</loc><lastmod>2023-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallelized-acquisition-for-active-learning-using-monte-carlo-sampling-2305.19267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallelized-acquisition-for-active-learning-using-monte-carlo-sampling-2305.19267"/></url>
<url><loc>https://scifaro.com/en/abs/kradagrad-kronecker-approximation-domination-gradient-preconditioned-stochastic-optimization-2305.19416</loc><lastmod>2023-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kradagrad-kronecker-approximation-domination-gradient-preconditioned-stochastic-optimization-2305.19416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kradagrad-kronecker-approximation-domination-gradient-preconditioned-stochastic-optimization-2305.19416"/></url>
<url><loc>https://scifaro.com/en/abs/what-and-how-does-in-context-learning-learn-bayesian-model-averaging-parameterization-and-generalization-2305.19420</loc><lastmod>2023-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-and-how-does-in-context-learning-learn-bayesian-model-averaging-parameterization-and-generalization-2305.19420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-and-how-does-in-context-learning-learn-bayesian-model-averaging-parameterization-and-generalization-2305.19420"/></url>
<url><loc>https://scifaro.com/en/abs/chain-of-log-concave-markov-chains-2305.19473</loc><lastmod>2023-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chain-of-log-concave-markov-chains-2305.19473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chain-of-log-concave-markov-chains-2305.19473"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-false-discovery-rate-control-with-privacy-guarantee-2305.19482</loc><lastmod>2023-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-false-discovery-rate-control-with-privacy-guarantee-2305.19482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-false-discovery-rate-control-with-privacy-guarantee-2305.19482"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-extended-kalman-filtering-for-online-learning-of-neural-networks-from-streaming-data-2305.19535</loc><lastmod>2023-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-extended-kalman-filtering-for-online-learning-of-neural-networks-from-streaming-data-2305.19535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-extended-kalman-filtering-for-online-learning-of-neural-networks-from-streaming-data-2305.19535"/></url>
<url><loc>https://scifaro.com/en/abs/online-label-shift-optimal-dynamic-regret-meets-practical-algorithms-2305.19570</loc><lastmod>2023-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-label-shift-optimal-dynamic-regret-meets-practical-algorithms-2305.19570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-label-shift-optimal-dynamic-regret-meets-practical-algorithms-2305.19570"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-free-projected-gradient-descent-2305.19605</loc><lastmod>2023-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-free-projected-gradient-descent-2305.19605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-free-projected-gradient-descent-2305.19605"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-for-u-net-design-and-analysis-2305.19638</loc><lastmod>2024-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-for-u-net-design-and-analysis-2305.19638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-for-u-net-design-and-analysis-2305.19638"/></url>
<url><loc>https://scifaro.com/en/abs/fine-grained-analysis-of-non-parametric-estimation-for-pairwise-learning-2305.19640</loc><lastmod>2026-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fine-grained-analysis-of-non-parametric-estimation-for-pairwise-learning-2305.19640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fine-grained-analysis-of-non-parametric-estimation-for-pairwise-learning-2305.19640"/></url>
<url><loc>https://scifaro.com/en/abs/online-to-pac-conversions-generalization-bounds-via-regret-analysis-2305.19674</loc><lastmod>2024-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-to-pac-conversions-generalization-bounds-via-regret-analysis-2305.19674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-to-pac-conversions-generalization-bounds-via-regret-analysis-2305.19674"/></url>
<url><loc>https://scifaro.com/en/abs/hypothesis-transfer-learning-with-surrogate-classification-losses-generalization-bounds-through-algorithmic-stability-2305.19694</loc><lastmod>2023-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypothesis-transfer-learning-with-surrogate-classification-losses-generalization-bounds-through-algorithmic-stability-2305.19694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypothesis-transfer-learning-with-surrogate-classification-losses-generalization-bounds-through-algorithmic-stability-2305.19694"/></url>
<url><loc>https://scifaro.com/en/abs/bures-wasserstein-means-of-graphs-2305.19738</loc><lastmod>2024-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bures-wasserstein-means-of-graphs-2305.19738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bures-wasserstein-means-of-graphs-2305.19738"/></url>
<url><loc>https://scifaro.com/en/abs/neuro-causal-factor-analysis-2305.19802</loc><lastmod>2023-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuro-causal-factor-analysis-2305.19802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuro-causal-factor-analysis-2305.19802"/></url>
<url><loc>https://scifaro.com/en/abs/distance-rank-score-unsupervised-filter-method-for-feature-selection-on-imbalanced-dataset-2305.19804</loc><lastmod>2023-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distance-rank-score-unsupervised-filter-method-for-feature-selection-on-imbalanced-dataset-2305.19804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distance-rank-score-unsupervised-filter-method-for-feature-selection-on-imbalanced-dataset-2305.19804"/></url>
<url><loc>https://scifaro.com/en/abs/eamdrift-an-interpretable-self-retrain-model-for-time-series-2305.19837</loc><lastmod>2023-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eamdrift-an-interpretable-self-retrain-model-for-time-series-2305.19837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eamdrift-an-interpretable-self-retrain-model-for-time-series-2305.19837"/></url>
<url><loc>https://scifaro.com/en/abs/a-nested-matrix-tensor-model-for-noisy-multi-view-clustering-2305.19992</loc><lastmod>2023-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-nested-matrix-tensor-model-for-noisy-multi-view-clustering-2305.19992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-nested-matrix-tensor-model-for-noisy-multi-view-clustering-2305.19992"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-graph-embedding-with-electronic-health-records-data-via-latent-graphical-block-model-2305.19997</loc><lastmod>2023-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-graph-embedding-with-electronic-health-records-data-via-latent-graphical-block-model-2305.19997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-graph-embedding-with-electronic-health-records-data-via-latent-graphical-block-model-2305.19997"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-solve-bayesian-inverse-problems-an-amortized-variational-inference-approach-using-gaussian-and-flow-guides-2305.20004</loc><lastmod>2024-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-solve-bayesian-inverse-problems-an-amortized-variational-inference-approach-using-gaussian-and-flow-guides-2305.20004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-solve-bayesian-inverse-problems-an-amortized-variational-inference-approach-using-gaussian-and-flow-guides-2305.20004"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-causal-bayesian-optimization-2305.20011</loc><lastmod>2023-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-causal-bayesian-optimization-2305.20011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-causal-bayesian-optimization-2305.20011"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-framework-for-equivariant-neural-networks-on-reductive-lie-groups-2306.00091</loc><lastmod>2023-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-framework-for-equivariant-neural-networks-on-reductive-lie-groups-2306.00091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-framework-for-equivariant-neural-networks-on-reductive-lie-groups-2306.00091"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-pareto-front-using-bootstrapped-observation-samples-2306.00096</loc><lastmod>2024-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-pareto-front-using-bootstrapped-observation-samples-2306.00096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-pareto-front-using-bootstrapped-observation-samples-2306.00096"/></url>
<url><loc>https://scifaro.com/en/abs/conditionally-strongly-log-concave-generative-models-2306.00181</loc><lastmod>2023-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditionally-strongly-log-concave-generative-models-2306.00181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditionally-strongly-log-concave-generative-models-2306.00181"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-neural-bandits-2306.00242</loc><lastmod>2023-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-neural-bandits-2306.00242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-neural-bandits-2306.00242"/></url>
<url><loc>https://scifaro.com/en/abs/almost-provable-error-bounds-under-distribution-shift-via-disagreement-discrepancy-2306.00312</loc><lastmod>2023-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/almost-provable-error-bounds-under-distribution-shift-via-disagreement-discrepancy-2306.00312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/almost-provable-error-bounds-under-distribution-shift-via-disagreement-discrepancy-2306.00312"/></url>
<url><loc>https://scifaro.com/en/abs/constructing-semantics-aware-adversarial-examples-with-a-probabilistic-perspective-2306.00353</loc><lastmod>2024-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constructing-semantics-aware-adversarial-examples-with-a-probabilistic-perspective-2306.00353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constructing-semantics-aware-adversarial-examples-with-a-probabilistic-perspective-2306.00353"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-and-robust-bayesian-selection-of-hyperparameters-in-dimension-reduction-for-visualization-2306.00357</loc><lastmod>2023-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-and-robust-bayesian-selection-of-hyperparameters-in-dimension-reduction-for-visualization-2306.00357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-and-robust-bayesian-selection-of-hyperparameters-in-dimension-reduction-for-visualization-2306.00357"/></url>
<url><loc>https://scifaro.com/en/abs/sharded-bayesian-additive-regression-trees-2306.00361</loc><lastmod>2023-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sharded-bayesian-additive-regression-trees-2306.00361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sharded-bayesian-additive-regression-trees-2306.00361"/></url>
<url><loc>https://scifaro.com/en/abs/on-masked-pre-training-and-the-marginal-likelihood-2306.00520</loc><lastmod>2023-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-masked-pre-training-and-the-marginal-likelihood-2306.00520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-masked-pre-training-and-the-marginal-likelihood-2306.00520"/></url>
<url><loc>https://scifaro.com/en/abs/decomposing-global-feature-effects-based-on-feature-interactions-2306.00541</loc><lastmod>2024-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decomposing-global-feature-effects-based-on-feature-interactions-2306.00541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decomposing-global-feature-effects-based-on-feature-interactions-2306.00541"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-identifiability-of-causal-representations-from-unknown-interventions-2306.00542</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-identifiability-of-causal-representations-from-unknown-interventions-2306.00542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-identifiability-of-causal-representations-from-unknown-interventions-2306.00542"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-stein-classes-for-truncated-density-estimation-2306.00602</loc><lastmod>2024-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-stein-classes-for-truncated-density-estimation-2306.00602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-stein-classes-for-truncated-density-estimation-2306.00602"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-effectiveness-of-hybrid-mutual-information-estimation-2306.00608</loc><lastmod>2023-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-effectiveness-of-hybrid-mutual-information-estimation-2306.00608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-effectiveness-of-hybrid-mutual-information-estimation-2306.00608"/></url>
<url><loc>https://scifaro.com/en/abs/unfair-utilities-and-first-steps-towards-improving-them-2306.00636</loc><lastmod>2025-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unfair-utilities-and-first-steps-towards-improving-them-2306.00636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unfair-utilities-and-first-steps-towards-improving-them-2306.00636"/></url>
<url><loc>https://scifaro.com/en/abs/byzantine-robust-clustered-federated-learning-2306.00638</loc><lastmod>2023-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/byzantine-robust-clustered-federated-learning-2306.00638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/byzantine-robust-clustered-federated-learning-2306.00638"/></url>
<url><loc>https://scifaro.com/en/abs/data-interpolants-that-s-what-discriminators-in-higher-order-gradient-regularized-gans-are-2306.00785</loc><lastmod>2023-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-interpolants-that-s-what-discriminators-in-higher-order-gradient-regularized-gans-are-2306.00785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-interpolants-that-s-what-discriminators-in-higher-order-gradient-regularized-gans-are-2306.00785"/></url>
<url><loc>https://scifaro.com/en/abs/birth-of-a-transformer-a-memory-viewpoint-2306.00802</loc><lastmod>2023-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/birth-of-a-transformer-a-memory-viewpoint-2306.00802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/birth-of-a-transformer-a-memory-viewpoint-2306.00802"/></url>
<url><loc>https://scifaro.com/en/abs/loss-optimal-classification-trees-a-generalized-framework-and-the-logistic-case-2306.00857</loc><lastmod>2023-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loss-optimal-classification-trees-a-generalized-framework-and-the-logistic-case-2306.00857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loss-optimal-classification-trees-a-generalized-framework-and-the-logistic-case-2306.00857"/></url>
<url><loc>https://scifaro.com/en/abs/interaction-measures-partition-lattices-and-kernel-tests-for-high-order-interactions-2306.00904</loc><lastmod>2023-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interaction-measures-partition-lattices-and-kernel-tests-for-high-order-interactions-2306.00904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interaction-measures-partition-lattices-and-kernel-tests-for-high-order-interactions-2306.00904"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-coordinate-ascent-variational-inference-2306.01122</loc><lastmod>2023-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-coordinate-ascent-variational-inference-2306.01122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-coordinate-ascent-variational-inference-2306.01122"/></url>
<url><loc>https://scifaro.com/en/abs/linked-deep-gaussian-process-emulation-for-model-networks-2306.01212</loc><lastmod>2023-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linked-deep-gaussian-process-emulation-for-model-networks-2306.01212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linked-deep-gaussian-process-emulation-for-model-networks-2306.01212"/></url>
<url><loc>https://scifaro.com/en/abs/mixture-proportion-estimation-beyond-irreducibility-2306.01253</loc><lastmod>2023-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixture-proportion-estimation-beyond-irreducibility-2306.01253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixture-proportion-estimation-beyond-irreducibility-2306.01253"/></url>
<url><loc>https://scifaro.com/en/abs/partial-counterfactual-identification-of-continuous-outcomes-with-a-curvature-sensitivity-model-2306.01424</loc><lastmod>2024-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partial-counterfactual-identification-of-continuous-outcomes-with-a-curvature-sensitivity-model-2306.01424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partial-counterfactual-identification-of-continuous-outcomes-with-a-curvature-sensitivity-model-2306.01424"/></url>
<url><loc>https://scifaro.com/en/abs/do-we-become-wiser-with-time-on-causal-equivalence-with-tiered-background-knowledge-2306.01638</loc><lastmod>2023-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-we-become-wiser-with-time-on-causal-equivalence-with-tiered-background-knowledge-2306.01638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-we-become-wiser-with-time-on-causal-equivalence-with-tiered-background-knowledge-2306.01638"/></url>
<url><loc>https://scifaro.com/en/abs/auditing-for-human-expertise-2306.01646</loc><lastmod>2024-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auditing-for-human-expertise-2306.01646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auditing-for-human-expertise-2306.01646"/></url>
<url><loc>https://scifaro.com/en/abs/neural-differential-recurrent-neural-network-with-adaptive-time-steps-2306.01674</loc><lastmod>2023-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-differential-recurrent-neural-network-with-adaptive-time-steps-2306.01674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-differential-recurrent-neural-network-with-adaptive-time-steps-2306.01674"/></url>
<url><loc>https://scifaro.com/en/abs/a-data-driven-measure-of-relative-uncertainty-for-misclassification-detection-2306.01710</loc><lastmod>2024-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-data-driven-measure-of-relative-uncertainty-for-misclassification-detection-2306.01710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-data-driven-measure-of-relative-uncertainty-for-misclassification-detection-2306.01710"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-algorithms-for-evaluating-noisy-judges-on-unlabeled-data-binary-classification-2306.01726</loc><lastmod>2023-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-algorithms-for-evaluating-noisy-judges-on-unlabeled-data-binary-classification-2306.01726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-algorithms-for-evaluating-noisy-judges-on-unlabeled-data-binary-classification-2306.01726"/></url>
<url><loc>https://scifaro.com/en/abs/broadcasting-in-random-recursive-dags-2306.01727</loc><lastmod>2025-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/broadcasting-in-random-recursive-dags-2306.01727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/broadcasting-in-random-recursive-dags-2306.01727"/></url>
<url><loc>https://scifaro.com/en/abs/training-data-attribution-for-diffusion-models-2306.02174</loc><lastmod>2023-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-data-attribution-for-diffusion-models-2306.02174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-data-attribution-for-diffusion-models-2306.02174"/></url>
<url><loc>https://scifaro.com/en/abs/online-bootstrap-inference-with-nonconvex-stochastic-gradient-descent-estimator-2306.02205</loc><lastmod>2023-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-bootstrap-inference-with-nonconvex-stochastic-gradient-descent-estimator-2306.02205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-bootstrap-inference-with-nonconvex-stochastic-gradient-descent-estimator-2306.02205"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-completion-from-general-deterministic-sampling-patterns-2306.02283</loc><lastmod>2023-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-completion-from-general-deterministic-sampling-patterns-2306.02283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-completion-from-general-deterministic-sampling-patterns-2306.02283"/></url>
<url><loc>https://scifaro.com/en/abs/coupled-variational-autoencoder-2306.02565</loc><lastmod>2023-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coupled-variational-autoencoder-2306.02565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coupled-variational-autoencoder-2306.02565"/></url>
<url><loc>https://scifaro.com/en/abs/latent-optimal-paths-by-gumbel-propagation-for-variational-bayesian-dynamic-programming-2306.02568</loc><lastmod>2024-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-optimal-paths-by-gumbel-propagation-for-variational-bayesian-dynamic-programming-2306.02568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-optimal-paths-by-gumbel-propagation-for-variational-bayesian-dynamic-programming-2306.02568"/></url>
<url><loc>https://scifaro.com/en/abs/active-ranking-of-experts-based-on-their-performances-in-many-tasks-2306.02628</loc><lastmod>2023-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-ranking-of-experts-based-on-their-performances-in-many-tasks-2306.02628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-ranking-of-experts-based-on-their-performances-in-many-tasks-2306.02628"/></url>
<url><loc>https://scifaro.com/en/abs/covariance-adaptive-best-arm-identification-2306.02630</loc><lastmod>2023-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covariance-adaptive-best-arm-identification-2306.02630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covariance-adaptive-best-arm-identification-2306.02630"/></url>
<url><loc>https://scifaro.com/en/abs/conformal-prediction-with-missing-values-2306.02732</loc><lastmod>2023-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformal-prediction-with-missing-values-2306.02732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformal-prediction-with-missing-values-2306.02732"/></url>
<url><loc>https://scifaro.com/en/abs/realising-synthetic-active-inference-agents-part-ii-variational-message-updates-2306.02733</loc><lastmod>2025-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/realising-synthetic-active-inference-agents-part-ii-variational-message-updates-2306.02733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/realising-synthetic-active-inference-agents-part-ii-variational-message-updates-2306.02733"/></url>
<url><loc>https://scifaro.com/en/abs/input-gradient-space-particle-inference-for-neural-network-ensembles-2306.02775</loc><lastmod>2024-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/input-gradient-space-particle-inference-for-neural-network-ensembles-2306.02775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/input-gradient-space-particle-inference-for-neural-network-ensembles-2306.02775"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-naive-classifier-for-positive-unlabeled-data-based-on-logistic-regression-approach-2306.02798</loc><lastmod>2023-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-naive-classifier-for-positive-unlabeled-data-based-on-logistic-regression-approach-2306.02798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-naive-classifier-for-positive-unlabeled-data-based-on-logistic-regression-approach-2306.02798"/></url>
<url><loc>https://scifaro.com/en/abs/mm-dag-multi-task-dag-learning-for-multi-modal-data-with-application-for-traffic-congestion-analysis-2306.02831</loc><lastmod>2023-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mm-dag-multi-task-dag-learning-for-multi-modal-data-with-application-for-traffic-congestion-analysis-2306.02831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mm-dag-multi-task-dag-learning-for-multi-modal-data-with-application-for-traffic-congestion-analysis-2306.02831"/></url>
<url><loc>https://scifaro.com/en/abs/the-l-infty-learnability-of-reproducing-kernel-hilbert-spaces-2306.02833</loc><lastmod>2023-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-l-infty-learnability-of-reproducing-kernel-hilbert-spaces-2306.02833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-l-infty-learnability-of-reproducing-kernel-hilbert-spaces-2306.02833"/></url>
<url><loc>https://scifaro.com/en/abs/learning-nonparametric-latent-causal-graphs-with-unknown-interventions-2306.02899</loc><lastmod>2023-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-nonparametric-latent-causal-graphs-with-unknown-interventions-2306.02899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-nonparametric-latent-causal-graphs-with-unknown-interventions-2306.02899"/></url>
<url><loc>https://scifaro.com/en/abs/bivariate-causal-discovery-using-bayesian-model-selection-2306.02931</loc><lastmod>2024-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bivariate-causal-discovery-using-bayesian-model-selection-2306.02931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bivariate-causal-discovery-using-bayesian-model-selection-2306.02931"/></url>
<url><loc>https://scifaro.com/en/abs/learning-under-random-distributional-shifts-2306.02948</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-under-random-distributional-shifts-2306.02948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-under-random-distributional-shifts-2306.02948"/></url>
<url><loc>https://scifaro.com/en/abs/using-sequences-of-life-events-to-predict-human-lives-2306.03009</loc><lastmod>2024-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-sequences-of-life-events-to-predict-human-lives-2306.03009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-sequences-of-life-events-to-predict-human-lives-2306.03009"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-distributionally-robust-optimization-2306.03202</loc><lastmod>2024-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-distributionally-robust-optimization-2306.03202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-distributionally-robust-optimization-2306.03202"/></url>
<url><loc>https://scifaro.com/en/abs/global-universal-approximation-of-functional-input-maps-on-weighted-spaces-2306.03303</loc><lastmod>2025-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-universal-approximation-of-functional-input-maps-on-weighted-spaces-2306.03303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-universal-approximation-of-functional-input-maps-on-weighted-spaces-2306.03303"/></url>
<url><loc>https://scifaro.com/en/abs/unraveling-projection-heads-in-contrastive-learning-insights-from-expansion-and-shrinkage-2306.03335</loc><lastmod>2023-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unraveling-projection-heads-in-contrastive-learning-insights-from-expansion-and-shrinkage-2306.03335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unraveling-projection-heads-in-contrastive-learning-insights-from-expansion-and-shrinkage-2306.03335"/></url>
<url><loc>https://scifaro.com/en/abs/online-tensor-learning-computational-and-statistical-trade-offs-adaptivity-and-optimal-regret-2306.03372</loc><lastmod>2024-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-tensor-learning-computational-and-statistical-trade-offs-adaptivity-and-optimal-regret-2306.03372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-tensor-learning-computational-and-statistical-trade-offs-adaptivity-and-optimal-regret-2306.03372"/></url>
<url><loc>https://scifaro.com/en/abs/binary-classification-with-instance-and-label-dependent-label-noise-2306.03402</loc><lastmod>2023-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-classification-with-instance-and-label-dependent-label-noise-2306.03402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-classification-with-instance-and-label-dependent-label-noise-2306.03402"/></url>
<url><loc>https://scifaro.com/en/abs/l-c2st-local-diagnostics-for-posterior-approximations-in-simulation-based-inference-2306.03580</loc><lastmod>2023-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l-c2st-local-diagnostics-for-posterior-approximations-in-simulation-based-inference-2306.03580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l-c2st-local-diagnostics-for-posterior-approximations-in-simulation-based-inference-2306.03580"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotics-of-bayesian-uncertainty-estimation-in-random-features-regression-2306.03783</loc><lastmod>2023-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotics-of-bayesian-uncertainty-estimation-in-random-features-regression-2306.03783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotics-of-bayesian-uncertainty-estimation-in-random-features-regression-2306.03783"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-marginal-likelihood-gradients-using-neural-tangent-kernels-2306.03968</loc><lastmod>2023-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-marginal-likelihood-gradients-using-neural-tangent-kernels-2306.03968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-marginal-likelihood-gradients-using-neural-tangent-kernels-2306.03968"/></url>
<url><loc>https://scifaro.com/en/abs/intervention-generalization-a-view-from-factor-graph-models-2306.04027</loc><lastmod>2023-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intervention-generalization-a-view-from-factor-graph-models-2306.04027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intervention-generalization-a-view-from-factor-graph-models-2306.04027"/></url>
<url><loc>https://scifaro.com/en/abs/causally-learning-an-optimal-rework-policy-2306.04223</loc><lastmod>2023-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causally-learning-an-optimal-rework-policy-2306.04223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causally-learning-an-optimal-rework-policy-2306.04223"/></url>
<url><loc>https://scifaro.com/en/abs/accounting-for-informative-sampling-when-learning-to-forecast-treatment-outcomes-over-time-2306.04255</loc><lastmod>2023-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accounting-for-informative-sampling-when-learning-to-forecast-treatment-outcomes-over-time-2306.04255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accounting-for-informative-sampling-when-learning-to-forecast-treatment-outcomes-over-time-2306.04255"/></url>
<url><loc>https://scifaro.com/en/abs/changing-data-sources-in-the-age-of-machine-learning-for-official-statistics-2306.04338</loc><lastmod>2023-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/changing-data-sources-in-the-age-of-machine-learning-for-official-statistics-2306.04338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/changing-data-sources-in-the-age-of-machine-learning-for-official-statistics-2306.04338"/></url>
<url><loc>https://scifaro.com/en/abs/learning-via-wasserstein-based-high-probability-generalisation-bounds-2306.04375</loc><lastmod>2023-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-via-wasserstein-based-high-probability-generalisation-bounds-2306.04375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-via-wasserstein-based-high-probability-generalisation-bounds-2306.04375"/></url>
<url><loc>https://scifaro.com/en/abs/label-shift-quantification-with-robustness-guarantees-via-distribution-feature-matching-2306.04376</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-shift-quantification-with-robustness-guarantees-via-distribution-feature-matching-2306.04376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-shift-quantification-with-robustness-guarantees-via-distribution-feature-matching-2306.04376"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-koopman-operators-with-sketching-to-provably-learn-large-scale-dynamical-systems-2306.04520</loc><lastmod>2023-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-koopman-operators-with-sketching-to-provably-learn-large-scale-dynamical-systems-2306.04520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-koopman-operators-with-sketching-to-provably-learn-large-scale-dynamical-systems-2306.04520"/></url>
<url><loc>https://scifaro.com/en/abs/sibblings-similarity-driven-building-block-inference-using-graphs-across-states-2306.04817</loc><lastmod>2024-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sibblings-similarity-driven-building-block-inference-using-graphs-across-states-2306.04817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sibblings-similarity-driven-building-block-inference-using-graphs-across-states-2306.04817"/></url>
<url><loc>https://scifaro.com/en/abs/k-nearest-neighbor-resampling-for-off-policy-evaluation-in-stochastic-control-2306.04836</loc><lastmod>2024-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-nearest-neighbor-resampling-for-off-policy-evaluation-in-stochastic-control-2306.04836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-nearest-neighbor-resampling-for-off-policy-evaluation-in-stochastic-control-2306.04836"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-framework-for-learning-governing-partial-differential-equation-from-data-2306.04894</loc><lastmod>2023-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-framework-for-learning-governing-partial-differential-equation-from-data-2306.04894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-framework-for-learning-governing-partial-differential-equation-from-data-2306.04894"/></url>
<url><loc>https://scifaro.com/en/abs/solution-of-physics-based-inverse-problems-using-conditional-generative-adversarial-networks-with-full-gradient-penalty-2306.04895</loc><lastmod>2023-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solution-of-physics-based-inverse-problems-using-conditional-generative-adversarial-networks-with-full-gradient-penalty-2306.04895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solution-of-physics-based-inverse-problems-using-conditional-generative-adversarial-networks-with-full-gradient-penalty-2306.04895"/></url>
<url><loc>https://scifaro.com/en/abs/entropy-based-training-methods-for-scalable-neural-implicit-sampler-2306.04952</loc><lastmod>2025-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropy-based-training-methods-for-scalable-neural-implicit-sampler-2306.04952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropy-based-training-methods-for-scalable-neural-implicit-sampler-2306.04952"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-vanilla-variational-autoencoders-detecting-posterior-collapse-in-conditional-and-hierarchical-variational-autoencoders-2306.05023</loc><lastmod>2024-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-vanilla-variational-autoencoders-detecting-posterior-collapse-in-conditional-and-hierarchical-variational-autoencoders-2306.05023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-vanilla-variational-autoencoders-detecting-posterior-collapse-in-conditional-and-hierarchical-variational-autoencoders-2306.05023"/></url>
<url><loc>https://scifaro.com/en/abs/conformal-prediction-for-federated-uncertainty-quantification-under-label-shift-2306.05131</loc><lastmod>2023-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformal-prediction-for-federated-uncertainty-quantification-under-label-shift-2306.05131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformal-prediction-for-federated-uncertainty-quantification-under-label-shift-2306.05131"/></url>
<url><loc>https://scifaro.com/en/abs/representing-and-learning-functions-invariant-under-crystallographic-groups-2306.05261</loc><lastmod>2023-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representing-and-learning-functions-invariant-under-crystallographic-groups-2306.05261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representing-and-learning-functions-invariant-under-crystallographic-groups-2306.05261"/></url>
<url><loc>https://scifaro.com/en/abs/data-adaptive-probabilistic-likelihood-approximation-for-ordinary-differential-equations-2306.05566</loc><lastmod>2023-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-adaptive-probabilistic-likelihood-approximation-for-ordinary-differential-equations-2306.05566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-adaptive-probabilistic-likelihood-approximation-for-ordinary-differential-equations-2306.05566"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-uncertainty-quantification-and-reduction-for-over-parameterized-neural-networks-2306.05674</loc><lastmod>2023-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-uncertainty-quantification-and-reduction-for-over-parameterized-neural-networks-2306.05674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-uncertainty-quantification-and-reduction-for-over-parameterized-neural-networks-2306.05674"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-predictive-uncertainty-with-information-theoretic-shapley-values-2306.05724</loc><lastmod>2023-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-predictive-uncertainty-with-information-theoretic-shapley-values-2306.05724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-predictive-uncertainty-with-information-theoretic-shapley-values-2306.05724"/></url>
<url><loc>https://scifaro.com/en/abs/how-sparse-can-we-prune-a-deep-network-a-fundamental-limit-perspective-2306.05857</loc><lastmod>2025-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-sparse-can-we-prune-a-deep-network-a-fundamental-limit-perspective-2306.05857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-sparse-can-we-prune-a-deep-network-a-fundamental-limit-perspective-2306.05857"/></url>
<url><loc>https://scifaro.com/en/abs/lessons-from-generalization-error-analysis-of-federated-learning-you-may-communicate-less-often-2306.05862</loc><lastmod>2024-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lessons-from-generalization-error-analysis-of-federated-learning-you-may-communicate-less-often-2306.05862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lessons-from-generalization-error-analysis-of-federated-learning-you-may-communicate-less-often-2306.05862"/></url>
<url><loc>https://scifaro.com/en/abs/vector-summaries-of-persistence-diagrams-for-permutation-based-hypothesis-testing-2306.06257</loc><lastmod>2023-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vector-summaries-of-persistence-diagrams-for-permutation-based-hypothesis-testing-2306.06257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vector-summaries-of-persistence-diagrams-for-permutation-based-hypothesis-testing-2306.06257"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-gap-based-deterministic-tensor-completion-2306.06262</loc><lastmod>2023-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-gap-based-deterministic-tensor-completion-2306.06262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-gap-based-deterministic-tensor-completion-2306.06262"/></url>
<url><loc>https://scifaro.com/en/abs/energy-dissipative-evolutionary-deep-operator-neural-networks-2306.06281</loc><lastmod>2023-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-dissipative-evolutionary-deep-operator-neural-networks-2306.06281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-dissipative-evolutionary-deep-operator-neural-networks-2306.06281"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-multitask-linear-regression-and-contextual-bandits-under-sparse-heterogeneity-2306.06291</loc><lastmod>2024-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-multitask-linear-regression-and-contextual-bandits-under-sparse-heterogeneity-2306.06291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-multitask-linear-regression-and-contextual-bandits-under-sparse-heterogeneity-2306.06291"/></url>
<url><loc>https://scifaro.com/en/abs/functional-causal-bayesian-optimization-2306.06409</loc><lastmod>2023-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-causal-bayesian-optimization-2306.06409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-causal-bayesian-optimization-2306.06409"/></url>
<url><loc>https://scifaro.com/en/abs/importance-sparsification-for-sinkhorn-algorithm-2306.06581</loc><lastmod>2026-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-sparsification-for-sinkhorn-algorithm-2306.06581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-sparsification-for-sinkhorn-algorithm-2306.06581"/></url>
<url><loc>https://scifaro.com/en/abs/fast-distribution-free-predictive-inference-for-neural-networks-with-coverage-guarantees-2306.06582</loc><lastmod>2023-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-distribution-free-predictive-inference-for-neural-networks-with-coverage-guarantees-2306.06582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-distribution-free-predictive-inference-for-neural-networks-with-coverage-guarantees-2306.06582"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-learning-of-minimax-risk-classifiers-in-high-dimensions-2306.06649</loc><lastmod>2023-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-learning-of-minimax-risk-classifiers-in-high-dimensions-2306.06649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-learning-of-minimax-risk-classifiers-in-high-dimensions-2306.06649"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-conditional-independence-testing-2306.06721</loc><lastmod>2024-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-conditional-independence-testing-2306.06721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-conditional-independence-testing-2306.06721"/></url>
<url><loc>https://scifaro.com/en/abs/provably-efficient-bayesian-optimization-with-unknown-gaussian-process-hyperparameter-estimation-2306.06844</loc><lastmod>2024-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-efficient-bayesian-optimization-with-unknown-gaussian-process-hyperparameter-estimation-2306.06844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-efficient-bayesian-optimization-with-unknown-gaussian-process-hyperparameter-estimation-2306.06844"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-random-projection-depth-for-outlier-detection-2306.07056</loc><lastmod>2023-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-random-projection-depth-for-outlier-detection-2306.07056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-random-projection-depth-for-outlier-detection-2306.07056"/></url>
<url><loc>https://scifaro.com/en/abs/riemannian-laplace-approximations-for-bayesian-neural-networks-2306.07158</loc><lastmod>2023-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/riemannian-laplace-approximations-for-bayesian-neural-networks-2306.07158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/riemannian-laplace-approximations-for-bayesian-neural-networks-2306.07158"/></url>
<url><loc>https://scifaro.com/en/abs/deep-gaussian-mixture-ensembles-2306.07235</loc><lastmod>2023-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-gaussian-mixture-ensembles-2306.07235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-gaussian-mixture-ensembles-2306.07235"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-expected-size-of-conformal-prediction-sets-2306.07254</loc><lastmod>2024-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-expected-size-of-conformal-prediction-sets-2306.07254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-expected-size-of-conformal-prediction-sets-2306.07254"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-selectively-labeled-data-from-multiple-decision-makers-2306.07566</loc><lastmod>2025-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-selectively-labeled-data-from-multiple-decision-makers-2306.07566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-selectively-labeled-data-from-multiple-decision-makers-2306.07566"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-one-permutation-hashing-and-bin-wise-consistent-weighted-sampling-2306.07674</loc><lastmod>2023-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-one-permutation-hashing-and-bin-wise-consistent-weighted-sampling-2306.07674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-one-permutation-hashing-and-bin-wise-consistent-weighted-sampling-2306.07674"/></url>
<url><loc>https://scifaro.com/en/abs/the-rank-reduced-kalman-filter-approximate-dynamical-low-rank-filtering-in-high-dimensions-2306.07774</loc><lastmod>2024-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-rank-reduced-kalman-filter-approximate-dynamical-low-rank-filtering-in-high-dimensions-2306.07774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-rank-reduced-kalman-filter-approximate-dynamical-low-rank-filtering-in-high-dimensions-2306.07774"/></url>
<url><loc>https://scifaro.com/en/abs/differentiating-metropolis-hastings-to-optimize-intractable-densities-2306.07961</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiating-metropolis-hastings-to-optimize-intractable-densities-2306.07961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiating-metropolis-hastings-to-optimize-intractable-densities-2306.07961"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-compressibility-of-overparametrized-neural-networks-trained-with-heavy-tailed-sgd-2306.08125</loc><lastmod>2024-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-compressibility-of-overparametrized-neural-networks-trained-with-heavy-tailed-sgd-2306.08125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-compressibility-of-overparametrized-neural-networks-trained-with-heavy-tailed-sgd-2306.08125"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-regression-using-over-parameterized-shallow-relu-neural-networks-2306.08321</loc><lastmod>2024-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-regression-using-over-parameterized-shallow-relu-neural-networks-2306.08321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-regression-using-over-parameterized-shallow-relu-neural-networks-2306.08321"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-non-linear-latent-variable-modeling-via-random-fourier-features-2306.08352</loc><lastmod>2023-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-non-linear-latent-variable-modeling-via-random-fourier-features-2306.08352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-non-linear-latent-variable-modeling-via-random-fourier-features-2306.08352"/></url>
<url><loc>https://scifaro.com/en/abs/provably-efficient-offline-reinforcement-learning-with-perturbed-data-sources-2306.08364</loc><lastmod>2023-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-efficient-offline-reinforcement-learning-with-perturbed-data-sources-2306.08364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-efficient-offline-reinforcement-learning-with-perturbed-data-sources-2306.08364"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-and-approximate-inference-of-large-random-kronecker-graphs-2306.08489</loc><lastmod>2024-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-and-approximate-inference-of-large-random-kronecker-graphs-2306.08489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-and-approximate-inference-of-large-random-kronecker-graphs-2306.08489"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-real-time-crash-risks-during-hurricane-evacuation-using-connected-vehicle-data-2306.08682</loc><lastmod>2023-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-real-time-crash-risks-during-hurricane-evacuation-using-connected-vehicle-data-2306.08682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-real-time-crash-risks-during-hurricane-evacuation-using-connected-vehicle-data-2306.08682"/></url>
<url><loc>https://scifaro.com/en/abs/mmd-fuse-learning-and-combining-kernels-for-two-sample-testing-without-data-splitting-2306.08777</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mmd-fuse-learning-and-combining-kernels-for-two-sample-testing-without-data-splitting-2306.08777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mmd-fuse-learning-and-combining-kernels-for-two-sample-testing-without-data-splitting-2306.08777"/></url>
<url><loc>https://scifaro.com/en/abs/exact-count-of-boundary-pieces-of-relu-classifiers-towards-the-proper-complexity-measure-for-classification-2306.08805</loc><lastmod>2023-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-count-of-boundary-pieces-of-relu-classifiers-towards-the-proper-complexity-measure-for-classification-2306.08805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-count-of-boundary-pieces-of-relu-classifiers-towards-the-proper-complexity-measure-for-classification-2306.08805"/></url>
<url><loc>https://scifaro.com/en/abs/on-certified-generalization-in-structured-prediction-2306.09112</loc><lastmod>2023-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-certified-generalization-in-structured-prediction-2306.09112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-certified-generalization-in-structured-prediction-2306.09112"/></url>
<url><loc>https://scifaro.com/en/abs/towards-faster-non-asymptotic-convergence-for-diffusion-based-generative-models-2306.09251</loc><lastmod>2024-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-faster-non-asymptotic-convergence-for-diffusion-based-generative-models-2306.09251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-faster-non-asymptotic-convergence-for-diffusion-based-generative-models-2306.09251"/></url>
<url><loc>https://scifaro.com/en/abs/a-heavy-tailed-algebra-for-probabilistic-programming-2306.09262</loc><lastmod>2023-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-heavy-tailed-algebra-for-probabilistic-programming-2306.09262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-heavy-tailed-algebra-for-probabilistic-programming-2306.09262"/></url>
<url><loc>https://scifaro.com/en/abs/class-conditional-conformal-prediction-with-many-classes-2306.09335</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/class-conditional-conformal-prediction-with-many-classes-2306.09335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/class-conditional-conformal-prediction-with-many-classes-2306.09335"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-anomaly-detection-via-nonlinear-manifold-learning-2306.09441</loc><lastmod>2023-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-anomaly-detection-via-nonlinear-manifold-learning-2306.09441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-anomaly-detection-via-nonlinear-manifold-learning-2306.09441"/></url>
<url><loc>https://scifaro.com/en/abs/online-heavy-tailed-change-point-detection-2306.09548</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-heavy-tailed-change-point-detection-2306.09548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-heavy-tailed-change-point-detection-2306.09548"/></url>
<url><loc>https://scifaro.com/en/abs/power-law-dynamic-arising-from-machine-learning-2306.09624</loc><lastmod>2023-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/power-law-dynamic-arising-from-machine-learning-2306.09624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/power-law-dynamic-arising-from-machine-learning-2306.09624"/></url>
<url><loc>https://scifaro.com/en/abs/vacant-holes-for-unsupervised-detection-of-the-outliers-in-compact-latent-representation-2306.09646</loc><lastmod>2023-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vacant-holes-for-unsupervised-detection-of-the-outliers-in-compact-latent-representation-2306.09646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vacant-holes-for-unsupervised-detection-of-the-outliers-in-compact-latent-representation-2306.09646"/></url>
<url><loc>https://scifaro.com/en/abs/trained-transformers-learn-linear-models-in-context-2306.09927</loc><lastmod>2023-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trained-transformers-learn-linear-models-in-context-2306.09927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trained-transformers-learn-linear-models-in-context-2306.09927"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-in-multi-task-learning-via-wasserstein-barycenters-2306.10155</loc><lastmod>2024-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-in-multi-task-learning-via-wasserstein-barycenters-2306.10155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-in-multi-task-learning-via-wasserstein-barycenters-2306.10155"/></url>
<url><loc>https://scifaro.com/en/abs/samplet-basis-pursuit-multiresolution-scattered-data-approximation-with-sparsity-constraints-2306.10180</loc><lastmod>2024-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/samplet-basis-pursuit-multiresolution-scattered-data-approximation-with-sparsity-constraints-2306.10180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/samplet-basis-pursuit-multiresolution-scattered-data-approximation-with-sparsity-constraints-2306.10180"/></url>
<url><loc>https://scifaro.com/en/abs/mock-an-algorithm-for-learning-nonparametric-differential-equations-via-multivariate-occupation-kernel-functions-2306.10189</loc><lastmod>2025-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mock-an-algorithm-for-learning-nonparametric-differential-equations-via-multivariate-occupation-kernel-functions-2306.10189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mock-an-algorithm-for-learning-nonparametric-differential-equations-via-multivariate-occupation-kernel-functions-2306.10189"/></url>
<url><loc>https://scifaro.com/en/abs/deep-huber-quantile-regression-networks-2306.10306</loc><lastmod>2025-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-huber-quantile-regression-networks-2306.10306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-huber-quantile-regression-networks-2306.10306"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-semi-supervised-sparse-statistical-inference-2306.10395</loc><lastmod>2023-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-semi-supervised-sparse-statistical-inference-2306.10395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-semi-supervised-sparse-statistical-inference-2306.10395"/></url>
<url><loc>https://scifaro.com/en/abs/variational-sequential-optimal-experimental-design-using-reinforcement-learning-2306.10430</loc><lastmod>2026-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-sequential-optimal-experimental-design-using-reinforcement-learning-2306.10430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-sequential-optimal-experimental-design-using-reinforcement-learning-2306.10430"/></url>
<url><loc>https://scifaro.com/en/abs/can-predictive-models-be-used-for-causal-inference-2306.10551</loc><lastmod>2023-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-predictive-models-be-used-for-causal-inference-2306.10551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-predictive-models-be-used-for-causal-inference-2306.10551"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-expectation-using-compactification-operators-2306.10592</loc><lastmod>2024-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-expectation-using-compactification-operators-2306.10592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-expectation-using-compactification-operators-2306.10592"/></url>
<url><loc>https://scifaro.com/en/abs/p-tensors-a-general-formalism-for-constructing-higher-order-message-passing-networks-2306.10767</loc><lastmod>2026-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/p-tensors-a-general-formalism-for-constructing-higher-order-message-passing-networks-2306.10767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/p-tensors-a-general-formalism-for-constructing-higher-order-message-passing-networks-2306.10767"/></url>
<url><loc>https://scifaro.com/en/abs/texttt-causalassembly-generating-realistic-production-data-for-benchmarking-causal-discovery-2306.10816</loc><lastmod>2024-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/texttt-causalassembly-generating-realistic-production-data-for-benchmarking-causal-discovery-2306.10816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/texttt-causalassembly-generating-realistic-production-data-for-benchmarking-causal-discovery-2306.10816"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-deep-neural-networks-with-the-package-innsight-2306.10822</loc><lastmod>2025-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-deep-neural-networks-with-the-package-innsight-2306.10822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-deep-neural-networks-with-the-package-innsight-2306.10822"/></url>
<url><loc>https://scifaro.com/en/abs/practical-equivariances-via-relational-conditional-neural-processes-2306.10915</loc><lastmod>2023-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-equivariances-via-relational-conditional-neural-processes-2306.10915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-equivariances-via-relational-conditional-neural-processes-2306.10915"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-matching-of-real-and-generated-data-statistics-in-generative-adversarial-networks-2306.10943</loc><lastmod>2024-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-matching-of-real-and-generated-data-statistics-in-generative-adversarial-networks-2306.10943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-matching-of-real-and-generated-data-statistics-in-generative-adversarial-networks-2306.10943"/></url>
<url><loc>https://scifaro.com/en/abs/effect-invariant-mechanisms-for-policy-generalization-2306.10983</loc><lastmod>2023-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effect-invariant-mechanisms-for-policy-generalization-2306.10983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effect-invariant-mechanisms-for-policy-generalization-2306.10983"/></url>
<url><loc>https://scifaro.com/en/abs/a-vae-approach-to-sample-multivariate-extremes-2306.10987</loc><lastmod>2026-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-vae-approach-to-sample-multivariate-extremes-2306.10987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-vae-approach-to-sample-multivariate-extremes-2306.10987"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-contextual-bandit-problem-without-sparsity-2306.11017</loc><lastmod>2025-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-contextual-bandit-problem-without-sparsity-2306.11017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-contextual-bandit-problem-without-sparsity-2306.11017"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-deep-learning-for-predictive-maintenance-of-oilfield-equipment-2306.11040</loc><lastmod>2023-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-deep-learning-for-predictive-maintenance-of-oilfield-equipment-2306.11040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-deep-learning-for-predictive-maintenance-of-oilfield-equipment-2306.11040"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-normal-on-the-evaluation-of-mutual-information-estimators-2306.11078</loc><lastmod>2023-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-normal-on-the-evaluation-of-mutual-information-estimators-2306.11078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-normal-on-the-evaluation-of-mutual-information-estimators-2306.11078"/></url>
<url><loc>https://scifaro.com/en/abs/human-limits-in-machine-learning-prediction-of-plant-phenotypes-using-soil-microbiome-data-2306.11157</loc><lastmod>2024-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-limits-in-machine-learning-prediction-of-plant-phenotypes-using-soil-microbiome-data-2306.11157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-limits-in-machine-learning-prediction-of-plant-phenotypes-using-soil-microbiome-data-2306.11157"/></url>
<url><loc>https://scifaro.com/en/abs/deep-graph-kernel-point-processes-2306.11313</loc><lastmod>2024-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-graph-kernel-point-processes-2306.11313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-graph-kernel-point-processes-2306.11313"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-take-on-gaussian-process-networks-2306.11380</loc><lastmod>2024-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-take-on-gaussian-process-networks-2306.11380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-take-on-gaussian-process-networks-2306.11380"/></url>
<url><loc>https://scifaro.com/en/abs/computing-large-deviation-prefactors-of-stochastic-dynamical-systems-based-on-machine-learning-2306.11418</loc><lastmod>2023-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-large-deviation-prefactors-of-stochastic-dynamical-systems-based-on-machine-learning-2306.11418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-large-deviation-prefactors-of-stochastic-dynamical-systems-based-on-machine-learning-2306.11418"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-deepkriging-for-interpolation-and-probabilistic-forecasting-2306.11472</loc><lastmod>2023-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-deepkriging-for-interpolation-and-probabilistic-forecasting-2306.11472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-deepkriging-for-interpolation-and-probabilistic-forecasting-2306.11472"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-large-scale-nonstationary-spatial-covariance-function-estimation-using-convolutional-neural-networks-2306.11487</loc><lastmod>2023-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-large-scale-nonstationary-spatial-covariance-function-estimation-using-convolutional-neural-networks-2306.11487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-large-scale-nonstationary-spatial-covariance-function-estimation-using-convolutional-neural-networks-2306.11487"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-and-concentration-properties-of-constant-step-size-sgd-through-markov-chains-2306.11497</loc><lastmod>2025-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-and-concentration-properties-of-constant-step-size-sgd-through-markov-chains-2306.11497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-and-concentration-properties-of-constant-step-size-sgd-through-markov-chains-2306.11497"/></url>
<url><loc>https://scifaro.com/en/abs/mean-field-analysis-of-generalization-errors-2306.11623</loc><lastmod>2023-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-field-analysis-of-generalization-errors-2306.11623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-field-analysis-of-generalization-errors-2306.11623"/></url>
<url><loc>https://scifaro.com/en/abs/principles-for-initialization-and-architecture-selection-in-graph-neural-networks-with-relu-activations-2306.11668</loc><lastmod>2023-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principles-for-initialization-and-architecture-selection-in-graph-neural-networks-with-relu-activations-2306.11668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principles-for-initialization-and-architecture-selection-in-graph-neural-networks-with-relu-activations-2306.11668"/></url>
<url><loc>https://scifaro.com/en/abs/time-varying-transition-matrices-with-multi-task-gaussian-processes-2306.11772</loc><lastmod>2023-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-varying-transition-matrices-with-multi-task-gaussian-processes-2306.11772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-varying-transition-matrices-with-multi-task-gaussian-processes-2306.11772"/></url>
<url><loc>https://scifaro.com/en/abs/learning-elastic-costs-to-shape-monge-displacements-2306.11895</loc><lastmod>2024-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-elastic-costs-to-shape-monge-displacements-2306.11895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-elastic-costs-to-shape-monge-displacements-2306.11895"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-random-forests-using-fixed-point-trees-2306.11908</loc><lastmod>2025-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-random-forests-using-fixed-point-trees-2306.11908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-random-forests-using-fixed-point-trees-2306.11908"/></url>
<url><loc>https://scifaro.com/en/abs/open-problem-learning-with-variational-objectives-on-measures-2306.11928</loc><lastmod>2023-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-problem-learning-with-variational-objectives-on-measures-2306.11928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-problem-learning-with-variational-objectives-on-measures-2306.11928"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-human-body-responses-in-random-vibration-effect-of-motion-direction-sitting-posture-and-anthropometry-2306.12115</loc><lastmod>2023-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-human-body-responses-in-random-vibration-effect-of-motion-direction-sitting-posture-and-anthropometry-2306.12115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-human-body-responses-in-random-vibration-effect-of-motion-direction-sitting-posture-and-anthropometry-2306.12115"/></url>
<url><loc>https://scifaro.com/en/abs/more-pac-bayes-bounds-from-bounded-losses-to-losses-with-general-tail-behaviors-to-anytime-validity-2306.12214</loc><lastmod>2024-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/more-pac-bayes-bounds-from-bounded-losses-to-losses-with-general-tail-behaviors-to-anytime-validity-2306.12214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/more-pac-bayes-bounds-from-bounded-losses-to-losses-with-general-tail-behaviors-to-anytime-validity-2306.12214"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-training-with-generated-data-in-high-dimensional-regression-an-asymptotic-study-2306.12582</loc><lastmod>2023-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-training-with-generated-data-in-high-dimensional-regression-an-asymptotic-study-2306.12582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-training-with-generated-data-in-high-dimensional-regression-an-asymptotic-study-2306.12582"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-neural-simulation-based-inference-over-event-ensembles-2306.12584</loc><lastmod>2024-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-neural-simulation-based-inference-over-event-ensembles-2306.12584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-neural-simulation-based-inference-over-event-ensembles-2306.12584"/></url>
<url><loc>https://scifaro.com/en/abs/fitted-value-iteration-methods-for-bicausal-optimal-transport-2306.12658</loc><lastmod>2025-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fitted-value-iteration-methods-for-bicausal-optimal-transport-2306.12658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fitted-value-iteration-methods-for-bicausal-optimal-transport-2306.12658"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-low-rank-update-model-parameter-bounds-for-low-rank-training-data-modifications-2306.12670</loc><lastmod>2023-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-low-rank-update-model-parameter-bounds-for-low-rank-training-data-modifications-2306.12670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-low-rank-update-model-parameter-bounds-for-low-rank-training-data-modifications-2306.12670"/></url>
<url><loc>https://scifaro.com/en/abs/robust-statistical-comparison-of-random-variables-with-locally-varying-scale-of-measurement-2306.12803</loc><lastmod>2024-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-statistical-comparison-of-random-variables-with-locally-varying-scale-of-measurement-2306.12803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-statistical-comparison-of-random-variables-with-locally-varying-scale-of-measurement-2306.12803"/></url>
<url><loc>https://scifaro.com/en/abs/mitigating-discrimination-in-insurance-with-wasserstein-barycenters-2306.12912</loc><lastmod>2023-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mitigating-discrimination-in-insurance-with-wasserstein-barycenters-2306.12912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mitigating-discrimination-in-insurance-with-wasserstein-barycenters-2306.12912"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-the-finest-pattern-of-mutual-independence-from-data-2306.12984</loc><lastmod>2024-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-the-finest-pattern-of-mutual-independence-from-data-2306.12984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-the-finest-pattern-of-mutual-independence-from-data-2306.12984"/></url>
<url><loc>https://scifaro.com/en/abs/an-agnostic-view-on-the-cost-of-overfitting-in-kernel-ridge-regression-2306.13185</loc><lastmod>2024-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-agnostic-view-on-the-cost-of-overfitting-in-kernel-ridge-regression-2306.13185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-agnostic-view-on-the-cost-of-overfitting-in-kernel-ridge-regression-2306.13185"/></url>
<url><loc>https://scifaro.com/en/abs/uniform-convergence-with-square-root-lipschitz-loss-2306.13188</loc><lastmod>2023-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uniform-convergence-with-square-root-lipschitz-loss-2306.13188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uniform-convergence-with-square-root-lipschitz-loss-2306.13188"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-causal-effect-identification-under-weak-confounding-2306.13242</loc><lastmod>2023-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-causal-effect-identification-under-weak-confounding-2306.13242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-causal-effect-identification-under-weak-confounding-2306.13242"/></url>
<url><loc>https://scifaro.com/en/abs/on-tracking-varying-bounds-when-forecasting-bounded-time-series-2306.13428</loc><lastmod>2023-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-tracking-varying-bounds-when-forecasting-bounded-time-series-2306.13428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-tracking-varying-bounds-when-forecasting-bounded-time-series-2306.13428"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-under-latent-subgroup-shifts-with-high-dimensional-observations-2306.13472</loc><lastmod>2023-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-under-latent-subgroup-shifts-with-high-dimensional-observations-2306.13472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-under-latent-subgroup-shifts-with-high-dimensional-observations-2306.13472"/></url>
<url><loc>https://scifaro.com/en/abs/two-derivations-of-principal-component-analysis-on-datasets-of-distributions-2306.13503</loc><lastmod>2023-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-derivations-of-principal-component-analysis-on-datasets-of-distributions-2306.13503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-derivations-of-principal-component-analysis-on-datasets-of-distributions-2306.13503"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-model-selection-for-predictive-pattern-mining-model-by-safe-pattern-pruning-2306.13561</loc><lastmod>2023-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-model-selection-for-predictive-pattern-mining-model-by-safe-pattern-pruning-2306.13561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-model-selection-for-predictive-pattern-mining-model-by-safe-pattern-pruning-2306.13561"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-paradigm-for-generative-adversarial-networks-based-on-randomized-decision-rules-2306.13641</loc><lastmod>2023-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-paradigm-for-generative-adversarial-networks-based-on-randomized-decision-rules-2306.13641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-paradigm-for-generative-adversarial-networks-based-on-randomized-decision-rules-2306.13641"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-inference-after-prediction-2306.13746</loc><lastmod>2024-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-inference-after-prediction-2306.13746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-inference-after-prediction-2306.13746"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-approach-to-generalisation-error-of-machine-learning-algorithms-estimates-and-convergence-2306.13784</loc><lastmod>2023-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-approach-to-generalisation-error-of-machine-learning-algorithms-estimates-and-convergence-2306.13784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-approach-to-generalisation-error-of-machine-learning-algorithms-estimates-and-convergence-2306.13784"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-dirichlet-process-multinomial-mixture-model-for-passenger-trajectory-clustering-2306.13794</loc><lastmod>2023-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-dirichlet-process-multinomial-mixture-model-for-passenger-trajectory-clustering-2306.13794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-dirichlet-process-multinomial-mixture-model-for-passenger-trajectory-clustering-2306.13794"/></url>
<url><loc>https://scifaro.com/en/abs/g-tracer-expected-sharpness-optimization-2306.13914</loc><lastmod>2023-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/g-tracer-expected-sharpness-optimization-2306.13914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/g-tracer-expected-sharpness-optimization-2306.13914"/></url>
<url><loc>https://scifaro.com/en/abs/robust-classification-of-high-dimensional-data-using-data-adaptive-energy-distance-2306.13985</loc><lastmod>2026-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-classification-of-high-dimensional-data-using-data-adaptive-energy-distance-2306.13985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-classification-of-high-dimensional-data-using-data-adaptive-energy-distance-2306.13985"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-heteroscedastic-regression-with-symbiotic-learning-2306.14288</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-heteroscedastic-regression-with-symbiotic-learning-2306.14288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-heteroscedastic-regression-with-symbiotic-learning-2306.14288"/></url>
<url><loc>https://scifaro.com/en/abs/tce-a-test-based-approach-to-measuring-calibration-error-2306.14343</loc><lastmod>2023-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tce-a-test-based-approach-to-measuring-calibration-error-2306.14343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tce-a-test-based-approach-to-measuring-calibration-error-2306.14343"/></url>
<url><loc>https://scifaro.com/en/abs/multi-output-ensembles-for-multi-step-forecasting-2306.14563</loc><lastmod>2023-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-output-ensembles-for-multi-step-forecasting-2306.14563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-output-ensembles-for-multi-step-forecasting-2306.14563"/></url>
<url><loc>https://scifaro.com/en/abs/pwshap-a-path-wise-explanation-model-for-targeted-variables-2306.14672</loc><lastmod>2023-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pwshap-a-path-wise-explanation-model-for-targeted-variables-2306.14672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pwshap-a-path-wise-explanation-model-for-targeted-variables-2306.14672"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-locality-and-robustness-to-achieve-massively-scalable-gaussian-process-regression-2306.14731</loc><lastmod>2023-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-locality-and-robustness-to-achieve-massively-scalable-gaussian-process-regression-2306.14731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-locality-and-robustness-to-achieve-massively-scalable-gaussian-process-regression-2306.14731"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-task-structures-for-improved-identifiability-in-neural-network-representations-2306.14861</loc><lastmod>2024-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-task-structures-for-improved-identifiability-in-neural-network-representations-2306.14861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-task-structures-for-improved-identifiability-in-neural-network-representations-2306.14861"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-component-separation-for-targeted-signal-recovery-in-noisy-mixtures-2306.15012</loc><lastmod>2024-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-component-separation-for-targeted-signal-recovery-in-noisy-mixtures-2306.15012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-component-separation-for-targeted-signal-recovery-in-noisy-mixtures-2306.15012"/></url>
<url><loc>https://scifaro.com/en/abs/equivariant-flow-matching-2306.15030</loc><lastmod>2023-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivariant-flow-matching-2306.15030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivariant-flow-matching-2306.15030"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-evaluation-of-ranking-policies-under-diverse-user-behavior-2306.15098</loc><lastmod>2023-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-evaluation-of-ranking-policies-under-diverse-user-behavior-2306.15098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-evaluation-of-ranking-policies-under-diverse-user-behavior-2306.15098"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-of-machine-learning-architectures-on-the-quantification-of-epistemic-and-aleatoric-uncertainties-in-complex-dynamical-systems-2306.15159</loc><lastmod>2023-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-of-machine-learning-architectures-on-the-quantification-of-epistemic-and-aleatoric-uncertainties-in-complex-dynamical-systems-2306.15159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-of-machine-learning-architectures-on-the-quantification-of-epistemic-and-aleatoric-uncertainties-in-complex-dynamical-systems-2306.15159"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-generative-regression-2306.15163</loc><lastmod>2023-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-generative-regression-2306.15163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-generative-regression-2306.15163"/></url>
<url><loc>https://scifaro.com/en/abs/variational-latent-discrete-representation-for-time-series-modelling-2306.15282</loc><lastmod>2023-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-latent-discrete-representation-for-time-series-modelling-2306.15282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-latent-discrete-representation-for-time-series-modelling-2306.15282"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-annealed-importance-sampling-with-constant-rate-progress-2306.15283</loc><lastmod>2023-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-annealed-importance-sampling-with-constant-rate-progress-2306.15283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-annealed-importance-sampling-with-constant-rate-progress-2306.15283"/></url>
<url><loc>https://scifaro.com/en/abs/simulating-counterfactuals-2306.15328</loc><lastmod>2024-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulating-counterfactuals-2306.15328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulating-counterfactuals-2306.15328"/></url>
<url><loc>https://scifaro.com/en/abs/pybads-fast-and-robust-black-box-optimization-in-python-2306.15576</loc><lastmod>2023-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pybads-fast-and-robust-black-box-optimization-in-python-2306.15576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pybads-fast-and-robust-black-box-optimization-in-python-2306.15576"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-message-passing-for-the-matrix-tensor-product-model-2306.15580</loc><lastmod>2023-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-message-passing-for-the-matrix-tensor-product-model-2306.15580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-message-passing-for-the-matrix-tensor-product-model-2306.15580"/></url>
<url><loc>https://scifaro.com/en/abs/non-parametric-online-market-regime-detection-and-regime-clustering-for-multidimensional-and-path-dependent-data-structures-2306.15835</loc><lastmod>2023-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-parametric-online-market-regime-detection-and-regime-clustering-for-multidimensional-and-path-dependent-data-structures-2306.15835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-parametric-online-market-regime-detection-and-regime-clustering-for-multidimensional-and-path-dependent-data-structures-2306.15835"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-stochastic-partial-differential-equations-from-limited-data-using-variational-bayes-inference-2306.15873</loc><lastmod>2023-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-stochastic-partial-differential-equations-from-limited-data-using-variational-bayes-inference-2306.15873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-stochastic-partial-differential-equations-from-limited-data-using-variational-bayes-inference-2306.15873"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-with-random-coefficient-ridge-regression-2306.15915</loc><lastmod>2023-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-with-random-coefficient-ridge-regression-2306.15915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-with-random-coefficient-ridge-regression-2306.15915"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-methods-in-variational-inequalities-ergodicity-bias-and-refinements-2306.16502</loc><lastmod>2023-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-methods-in-variational-inequalities-ergodicity-bias-and-refinements-2306.16502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-methods-in-variational-inequalities-ergodicity-bias-and-refinements-2306.16502"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-pathologies-of-deep-heteroskedastic-regression-2306.16717</loc><lastmod>2024-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-pathologies-of-deep-heteroskedastic-regression-2306.16717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-pathologies-of-deep-heteroskedastic-regression-2306.16717"/></url>
<url><loc>https://scifaro.com/en/abs/fast-robust-kernel-regression-through-sign-gradient-descent-with-early-stopping-2306.16838</loc><lastmod>2025-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-robust-kernel-regression-through-sign-gradient-descent-with-early-stopping-2306.16838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-robust-kernel-regression-through-sign-gradient-descent-with-early-stopping-2306.16838"/></url>
<url><loc>https://scifaro.com/en/abs/numerical-data-imputation-for-multimodal-data-sets-a-probabilistic-nearest-neighbor-kernel-density-approach-2306.16906</loc><lastmod>2023-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/numerical-data-imputation-for-multimodal-data-sets-a-probabilistic-nearest-neighbor-kernel-density-approach-2306.16906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/numerical-data-imputation-for-multimodal-data-sets-a-probabilistic-nearest-neighbor-kernel-density-approach-2306.16906"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-epsilon-greedy-for-multi-armed-bandits-with-covariates-2306.17329</loc><lastmod>2025-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-epsilon-greedy-for-multi-armed-bandits-with-covariates-2306.17329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-epsilon-greedy-for-multi-armed-bandits-with-covariates-2306.17329"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-uniform-approximation-using-random-vector-functional-link-networks-2306.17501</loc><lastmod>2025-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-uniform-approximation-using-random-vector-functional-link-networks-2306.17501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-uniform-approximation-using-random-vector-functional-link-networks-2306.17501"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-time-warping-invariant-dictionary-learning-for-time-series-classification-and-clustering-2306.17690</loc><lastmod>2023-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-time-warping-invariant-dictionary-learning-for-time-series-classification-and-clustering-2306.17690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-time-warping-invariant-dictionary-learning-for-time-series-classification-and-clustering-2306.17690"/></url>
<url><loc>https://scifaro.com/en/abs/the-shaped-transformer-attention-models-in-the-infinite-depth-and-width-limit-2306.17759</loc><lastmod>2023-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-shaped-transformer-attention-models-in-the-infinite-depth-and-width-limit-2306.17759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-shaped-transformer-attention-models-in-the-infinite-depth-and-width-limit-2306.17759"/></url>
<url><loc>https://scifaro.com/en/abs/practical-and-asymptotically-exact-conditional-sampling-in-diffusion-models-2306.17775</loc><lastmod>2024-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-and-asymptotically-exact-conditional-sampling-in-diffusion-models-2306.17775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-and-asymptotically-exact-conditional-sampling-in-diffusion-models-2306.17775"/></url>
<url><loc>https://scifaro.com/en/abs/causal-structure-learning-by-using-intersection-of-markov-blankets-2307.00227</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-structure-learning-by-using-intersection-of-markov-blankets-2307.00227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-structure-learning-by-using-intersection-of-markov-blankets-2307.00227"/></url>
<url><loc>https://scifaro.com/en/abs/unified-transfer-learning-models-in-high-dimensional-linear-regression-2307.00238</loc><lastmod>2024-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unified-transfer-learning-models-in-high-dimensional-linear-regression-2307.00238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unified-transfer-learning-models-in-high-dimensional-linear-regression-2307.00238"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-input-neural-network-using-group-concave-regularization-2307.00344</loc><lastmod>2026-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-input-neural-network-using-group-concave-regularization-2307.00344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-input-neural-network-using-group-concave-regularization-2307.00344"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-algorithms-for-relaxed-pareto-set-identification-2307.00424</loc><lastmod>2023-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-algorithms-for-relaxed-pareto-set-identification-2307.00424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-algorithms-for-relaxed-pareto-set-identification-2307.00424"/></url>
<url><loc>https://scifaro.com/en/abs/morse-neural-networks-for-uncertainty-quantification-2307.00667</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/morse-neural-networks-for-uncertainty-quantification-2307.00667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/morse-neural-networks-for-uncertainty-quantification-2307.00667"/></url>
<url><loc>https://scifaro.com/en/abs/trading-off-payments-and-accuracy-in-online-classification-with-paid-stochastic-experts-2307.00836</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trading-off-payments-and-accuracy-in-online-classification-with-paid-stochastic-experts-2307.00836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trading-off-payments-and-accuracy-in-online-classification-with-paid-stochastic-experts-2307.00836"/></url>
<url><loc>https://scifaro.com/en/abs/mads-modulated-auto-decoding-siren-for-time-series-imputation-2307.00868</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mads-modulated-auto-decoding-siren-for-time-series-imputation-2307.00868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mads-modulated-auto-decoding-siren-for-time-series-imputation-2307.00868"/></url>
<url><loc>https://scifaro.com/en/abs/transport-meets-variational-inference-controlled-monte-carlo-diffusions-2307.01050</loc><lastmod>2025-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transport-meets-variational-inference-controlled-monte-carlo-diffusions-2307.01050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transport-meets-variational-inference-controlled-monte-carlo-diffusions-2307.01050"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-manifold-learning-via-random-forest-geometry-preserving-proximities-2307.01077</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-manifold-learning-via-random-forest-geometry-preserving-proximities-2307.01077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-manifold-learning-via-random-forest-geometry-preserving-proximities-2307.01077"/></url>
<url><loc>https://scifaro.com/en/abs/ingb-informed-nonlinear-granular-ball-oversampling-framework-for-noisy-imbalanced-classification-2307.01224</loc><lastmod>2023-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ingb-informed-nonlinear-granular-ball-oversampling-framework-for-noisy-imbalanced-classification-2307.01224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ingb-informed-nonlinear-granular-ball-oversampling-framework-for-noisy-imbalanced-classification-2307.01224"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-information-for-efficient-exploration-exploitation-strategies-2307.01563</loc><lastmod>2023-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-information-for-efficient-exploration-exploitation-strategies-2307.01563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-information-for-efficient-exploration-exploitation-strategies-2307.01563"/></url>
<url><loc>https://scifaro.com/en/abs/last-layer-state-space-model-for-representation-learning-and-uncertainty-quantification-2307.01566</loc><lastmod>2023-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/last-layer-state-space-model-for-representation-learning-and-uncertainty-quantification-2307.01566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/last-layer-state-space-model-for-representation-learning-and-uncertainty-quantification-2307.01566"/></url>
<url><loc>https://scifaro.com/en/abs/fast-optimal-transport-through-sliced-wasserstein-generalized-geodesics-2307.01770</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-optimal-transport-through-sliced-wasserstein-generalized-geodesics-2307.01770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-optimal-transport-through-sliced-wasserstein-generalized-geodesics-2307.01770"/></url>
<url><loc>https://scifaro.com/en/abs/femda-une-m-ethode-de-classification-robuste-et-flexible-2307.01954</loc><lastmod>2023-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/femda-une-m-ethode-de-classification-robuste-et-flexible-2307.01954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/femda-une-m-ethode-de-classification-robuste-et-flexible-2307.01954"/></url>
<url><loc>https://scifaro.com/en/abs/algorithme-em-r-egularis-e-2307.01955</loc><lastmod>2023-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithme-em-r-egularis-e-2307.01955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithme-em-r-egularis-e-2307.01955"/></url>
<url><loc>https://scifaro.com/en/abs/using-random-effects-machine-learning-algorithms-to-identify-vulnerability-to-depression-2307.02023</loc><lastmod>2023-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-random-effects-machine-learning-algorithms-to-identify-vulnerability-to-depression-2307.02023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-random-effects-machine-learning-algorithms-to-identify-vulnerability-to-depression-2307.02023"/></url>
<url><loc>https://scifaro.com/en/abs/reverse-diffusion-monte-carlo-2307.02037</loc><lastmod>2024-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reverse-diffusion-monte-carlo-2307.02037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reverse-diffusion-monte-carlo-2307.02037"/></url>
<url><loc>https://scifaro.com/en/abs/diffflow-a-unified-sde-framework-for-score-based-diffusion-models-and-generative-adversarial-networks-2307.02159</loc><lastmod>2023-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffflow-a-unified-sde-framework-for-score-based-diffusion-models-and-generative-adversarial-networks-2307.02159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffflow-a-unified-sde-framework-for-score-based-diffusion-models-and-generative-adversarial-networks-2307.02159"/></url>
<url><loc>https://scifaro.com/en/abs/universal-scaling-laws-of-absorbing-phase-transitions-in-artificial-deep-neural-networks-2307.02284</loc><lastmod>2025-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-scaling-laws-of-absorbing-phase-transitions-in-artificial-deep-neural-networks-2307.02284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-scaling-laws-of-absorbing-phase-transitions-in-artificial-deep-neural-networks-2307.02284"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-guarantees-via-algorithm-dependent-rademacher-complexity-2307.02501</loc><lastmod>2023-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-guarantees-via-algorithm-dependent-rademacher-complexity-2307.02501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-guarantees-via-algorithm-dependent-rademacher-complexity-2307.02501"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-independence-testing-under-misspecified-inductive-biases-2307.02520</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-independence-testing-under-misspecified-inductive-biases-2307.02520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-independence-testing-under-misspecified-inductive-biases-2307.02520"/></url>
<url><loc>https://scifaro.com/en/abs/alpcah-sample-wise-heteroscedastic-pca-with-tail-singular-value-regularization-2307.02745</loc><lastmod>2023-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alpcah-sample-wise-heteroscedastic-pca-with-tail-singular-value-regularization-2307.02745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alpcah-sample-wise-heteroscedastic-pca-with-tail-singular-value-regularization-2307.02745"/></url>
<url><loc>https://scifaro.com/en/abs/general-formulation-and-pcl-analysis-for-restless-bandits-with-limited-observability-2307.03034</loc><lastmod>2025-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/general-formulation-and-pcl-analysis-for-restless-bandits-with-limited-observability-2307.03034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/general-formulation-and-pcl-analysis-for-restless-bandits-with-limited-observability-2307.03034"/></url>
<url><loc>https://scifaro.com/en/abs/learning-curves-for-noisy-heterogeneous-feature-subsampled-ridge-ensembles-2307.03176</loc><lastmod>2024-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-curves-for-noisy-heterogeneous-feature-subsampled-ridge-ensembles-2307.03176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-curves-for-noisy-heterogeneous-feature-subsampled-ridge-ensembles-2307.03176"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-high-dimensional-multivariate-linear-regression-for-feature-distributed-data-2307.03410</loc><lastmod>2024-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-high-dimensional-multivariate-linear-regression-for-feature-distributed-data-2307.03410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-high-dimensional-multivariate-linear-regression-for-feature-distributed-data-2307.03410"/></url>
<url><loc>https://scifaro.com/en/abs/learning-theory-of-distribution-regression-with-neural-networks-2307.03487</loc><lastmod>2023-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-theory-of-distribution-regression-with-neural-networks-2307.03487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-theory-of-distribution-regression-with-neural-networks-2307.03487"/></url>
<url><loc>https://scifaro.com/en/abs/fast-empirical-scenarios-2307.03927</loc><lastmod>2024-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-empirical-scenarios-2307.03927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-empirical-scenarios-2307.03927"/></url>
<url><loc>https://scifaro.com/en/abs/sup-norm-convergence-of-deep-neural-network-estimator-for-nonparametric-regression-by-adversarial-training-2307.04042</loc><lastmod>2023-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sup-norm-convergence-of-deep-neural-network-estimator-for-nonparametric-regression-by-adversarial-training-2307.04042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sup-norm-convergence-of-deep-neural-network-estimator-for-nonparametric-regression-by-adversarial-training-2307.04042"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-dynamic-pricing-with-strategic-buyers-2307.04055</loc><lastmod>2024-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-dynamic-pricing-with-strategic-buyers-2307.04055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-dynamic-pricing-with-strategic-buyers-2307.04055"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-filter-combine-networks-2307.04056</loc><lastmod>2025-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-filter-combine-networks-2307.04056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-filter-combine-networks-2307.04056"/></url>
<url><loc>https://scifaro.com/en/abs/a-generative-flow-for-conditional-sampling-via-optimal-transport-2307.04102</loc><lastmod>2023-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generative-flow-for-conditional-sampling-via-optimal-transport-2307.04102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generative-flow-for-conditional-sampling-via-optimal-transport-2307.04102"/></url>
<url><loc>https://scifaro.com/en/abs/on-sufficient-graphical-models-2307.04353</loc><lastmod>2023-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-sufficient-graphical-models-2307.04353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-sufficient-graphical-models-2307.04353"/></url>
<url><loc>https://scifaro.com/en/abs/law-of-large-numbers-for-bayesian-two-layer-neural-network-trained-with-variational-inference-2307.04779</loc><lastmod>2023-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/law-of-large-numbers-for-bayesian-two-layer-neural-network-trained-with-variational-inference-2307.04779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/law-of-large-numbers-for-bayesian-two-layer-neural-network-trained-with-variational-inference-2307.04779"/></url>
<url><loc>https://scifaro.com/en/abs/loss-dynamics-of-temporal-difference-reinforcement-learning-2307.04841</loc><lastmod>2023-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loss-dynamics-of-temporal-difference-reinforcement-learning-2307.04841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loss-dynamics-of-temporal-difference-reinforcement-learning-2307.04841"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-statistical-inference-through-beta-divergence-one-posterior-sampling-2307.05194</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-statistical-inference-through-beta-divergence-one-posterior-sampling-2307.05194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-statistical-inference-through-beta-divergence-one-posterior-sampling-2307.05194"/></url>
<url><loc>https://scifaro.com/en/abs/tracking-most-significant-shifts-in-nonparametric-contextual-bandits-2307.05341</loc><lastmod>2023-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tracking-most-significant-shifts-in-nonparametric-contextual-bandits-2307.05341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tracking-most-significant-shifts-in-nonparametric-contextual-bandits-2307.05341"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-neural-diffusion-processes-2307.05431</loc><lastmod>2023-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-neural-diffusion-processes-2307.05431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-neural-diffusion-processes-2307.05431"/></url>
<url><loc>https://scifaro.com/en/abs/functional-pca-and-deep-neural-networks-based-bayesian-inverse-uncertainty-quantification-with-transient-experimental-data-2307.05592</loc><lastmod>2024-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-pca-and-deep-neural-networks-based-bayesian-inverse-uncertainty-quantification-with-transient-experimental-data-2307.05592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-pca-and-deep-neural-networks-based-bayesian-inverse-uncertainty-quantification-with-transient-experimental-data-2307.05592"/></url>
<url><loc>https://scifaro.com/en/abs/latent-space-perspicacity-and-interpretation-enhancement-ls-pie-framework-2307.05620</loc><lastmod>2023-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-space-perspicacity-and-interpretation-enhancement-ls-pie-framework-2307.05620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-space-perspicacity-and-interpretation-enhancement-ls-pie-framework-2307.05620"/></url>
<url><loc>https://scifaro.com/en/abs/fermat-distances-metric-approximation-spectral-convergence-and-clustering-algorithms-2307.05750</loc><lastmod>2023-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fermat-distances-metric-approximation-spectral-convergence-and-clustering-algorithms-2307.05750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fermat-distances-metric-approximation-spectral-convergence-and-clustering-algorithms-2307.05750"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-regularisation-in-stochastic-gradient-descent-from-single-objective-to-two-player-games-2307.05789</loc><lastmod>2023-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-regularisation-in-stochastic-gradient-descent-from-single-objective-to-two-player-games-2307.05789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-regularisation-in-stochastic-gradient-descent-from-single-objective-to-two-player-games-2307.05789"/></url>
<url><loc>https://scifaro.com/en/abs/tdcoxsnn-time-dependent-cox-survival-neural-network-for-continuous-time-dynamic-prediction-2307.05881</loc><lastmod>2024-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tdcoxsnn-time-dependent-cox-survival-neural-network-for-continuous-time-dynamic-prediction-2307.05881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tdcoxsnn-time-dependent-cox-survival-neural-network-for-continuous-time-dynamic-prediction-2307.05881"/></url>
<url><loc>https://scifaro.com/en/abs/digital-tools-in-occupational-health-brakes-or-levers-for-building-multidisciplinary-dynamics-2307.05998</loc><lastmod>2023-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/digital-tools-in-occupational-health-brakes-or-levers-for-building-multidisciplinary-dynamics-2307.05998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/digital-tools-in-occupational-health-brakes-or-levers-for-building-multidisciplinary-dynamics-2307.05998"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-deep-embeddings-for-disease-progression-clustering-2307.06060</loc><lastmod>2023-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-deep-embeddings-for-disease-progression-clustering-2307.06060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-deep-embeddings-for-disease-progression-clustering-2307.06060"/></url>
<url><loc>https://scifaro.com/en/abs/identifiability-guarantees-for-causal-disentanglement-from-soft-interventions-2307.06250</loc><lastmod>2023-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifiability-guarantees-for-causal-disentanglement-from-soft-interventions-2307.06250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifiability-guarantees-for-causal-disentanglement-from-soft-interventions-2307.06250"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-bias-and-kernel-task-alignment-in-physically-informed-neural-networks-2307.06362</loc><lastmod>2023-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-bias-and-kernel-task-alignment-in-physically-informed-neural-networks-2307.06362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-bias-and-kernel-task-alignment-in-physically-informed-neural-networks-2307.06362"/></url>
<url><loc>https://scifaro.com/en/abs/testing-sparsity-assumptions-in-bayesian-networks-2307.06406</loc><lastmod>2023-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-sparsity-assumptions-in-bayesian-networks-2307.06406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-sparsity-assumptions-in-bayesian-networks-2307.06406"/></url>
<url><loc>https://scifaro.com/en/abs/energy-discrepancies-a-score-independent-loss-for-energy-based-models-2307.06431</loc><lastmod>2023-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-discrepancies-a-score-independent-loss-for-energy-based-models-2307.06431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-discrepancies-a-score-independent-loss-for-energy-based-models-2307.06431"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-networks-for-semiparametric-frailty-models-via-h-likelihood-2307.06581</loc><lastmod>2023-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-networks-for-semiparametric-frailty-models-via-h-likelihood-2307.06581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-networks-for-semiparametric-frailty-models-via-h-likelihood-2307.06581"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-bayes-theorem-for-upper-probabilities-2307.06831</loc><lastmod>2023-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-bayes-theorem-for-upper-probabilities-2307.06831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-bayes-theorem-for-upper-probabilities-2307.06831"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-averaged-stochastic-gradient-descent-asymptotic-normality-and-optimality-2307.06915</loc><lastmod>2025-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-averaged-stochastic-gradient-descent-asymptotic-normality-and-optimality-2307.06915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-averaged-stochastic-gradient-descent-asymptotic-normality-and-optimality-2307.06915"/></url>
<url><loc>https://scifaro.com/en/abs/embracing-the-chaos-analysis-and-diagnosis-of-numerical-instability-in-variational-flows-2307.06957</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embracing-the-chaos-analysis-and-diagnosis-of-numerical-instability-in-variational-flows-2307.06957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embracing-the-chaos-analysis-and-diagnosis-of-numerical-instability-in-variational-flows-2307.06957"/></url>
<url><loc>https://scifaro.com/en/abs/training-discrete-energy-based-models-with-energy-discrepancy-2307.07595</loc><lastmod>2023-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-discrete-energy-based-models-with-energy-discrepancy-2307.07595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-discrete-energy-based-models-with-energy-discrepancy-2307.07595"/></url>
<url><loc>https://scifaro.com/en/abs/sharp-convergence-rates-for-matching-pursuit-2307.07679</loc><lastmod>2024-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sharp-convergence-rates-for-matching-pursuit-2307.07679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sharp-convergence-rates-for-matching-pursuit-2307.07679"/></url>
<url><loc>https://scifaro.com/en/abs/towards-optimal-neural-networks-the-role-of-sample-splitting-in-hyperparameter-selection-2307.07726</loc><lastmod>2023-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-optimal-neural-networks-the-role-of-sample-splitting-in-hyperparameter-selection-2307.07726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-optimal-neural-networks-the-role-of-sample-splitting-in-hyperparameter-selection-2307.07726"/></url>
<url><loc>https://scifaro.com/en/abs/the-interpolating-information-criterion-for-overparameterized-models-2307.07785</loc><lastmod>2026-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-interpolating-information-criterion-for-overparameterized-models-2307.07785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-interpolating-information-criterion-for-overparameterized-models-2307.07785"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-with-gaussian-score-matching-2307.07849</loc><lastmod>2023-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-with-gaussian-score-matching-2307.07849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-with-gaussian-score-matching-2307.07849"/></url>
<url><loc>https://scifaro.com/en/abs/bivariate-deepkriging-for-large-scale-spatial-interpolation-of-wind-fields-2307.08038</loc><lastmod>2025-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bivariate-deepkriging-for-large-scale-spatial-interpolation-of-wind-fields-2307.08038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bivariate-deepkriging-for-large-scale-spatial-interpolation-of-wind-fields-2307.08038"/></url>
<url><loc>https://scifaro.com/en/abs/flexible-and-efficient-emulation-of-spatial-extremes-processes-via-variational-autoencoders-2307.08079</loc><lastmod>2024-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexible-and-efficient-emulation-of-spatial-extremes-processes-via-variational-autoencoders-2307.08079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexible-and-efficient-emulation-of-spatial-extremes-processes-via-variational-autoencoders-2307.08079"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-processes-for-bayesian-inverse-problems-associated-with-linear-partial-differential-equations-2307.08343</loc><lastmod>2024-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-processes-for-bayesian-inverse-problems-associated-with-linear-partial-differential-equations-2307.08343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-processes-for-bayesian-inverse-problems-associated-with-linear-partial-differential-equations-2307.08343"/></url>
<url><loc>https://scifaro.com/en/abs/cross-feature-selection-to-eliminate-spurious-interactions-and-single-feature-dominance-explainable-boosting-machines-2307.08485</loc><lastmod>2023-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-feature-selection-to-eliminate-spurious-interactions-and-single-feature-dominance-explainable-boosting-machines-2307.08485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-feature-selection-to-eliminate-spurious-interactions-and-single-feature-dominance-explainable-boosting-machines-2307.08485"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-based-testing-for-single-cell-differential-analysis-2307.08509</loc><lastmod>2024-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-based-testing-for-single-cell-differential-analysis-2307.08509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-based-testing-for-single-cell-differential-analysis-2307.08509"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-based-colorectal-tissue-classification-via-acoustic-resolution-photoacoustic-microscopy-2307.08556</loc><lastmod>2023-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-based-colorectal-tissue-classification-via-acoustic-resolution-photoacoustic-microscopy-2307.08556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-based-colorectal-tissue-classification-via-acoustic-resolution-photoacoustic-microscopy-2307.08556"/></url>
<url><loc>https://scifaro.com/en/abs/robust-data-clustering-with-outliers-via-transformed-tensor-low-rank-representation-2307.09055</loc><lastmod>2024-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-data-clustering-with-outliers-via-transformed-tensor-low-rank-representation-2307.09055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-data-clustering-with-outliers-via-transformed-tensor-low-rank-representation-2307.09055"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-within-in-silico-screening-2307.09379</loc><lastmod>2024-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-within-in-silico-screening-2307.09379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-within-in-silico-screening-2307.09379"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-self-supervised-learning-for-multivariate-variable-channel-time-series-2307.09614</loc><lastmod>2023-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-self-supervised-learning-for-multivariate-variable-channel-time-series-2307.09614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-self-supervised-learning-for-multivariate-variable-channel-time-series-2307.09614"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-learning-with-sparse-regularised-optimal-transport-2307.09816</loc><lastmod>2025-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-learning-with-sparse-regularised-optimal-transport-2307.09816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-learning-with-sparse-regularised-optimal-transport-2307.09816"/></url>
<url><loc>https://scifaro.com/en/abs/vits-variational-inference-thompson-sampling-for-contextual-bandits-2307.10167</loc><lastmod>2024-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vits-variational-inference-thompson-sampling-for-contextual-bandits-2307.10167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vits-variational-inference-thompson-sampling-for-contextual-bandits-2307.10167"/></url>
<url><loc>https://scifaro.com/en/abs/properties-of-discrete-sliced-wasserstein-losses-2307.10352</loc><lastmod>2025-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/properties-of-discrete-sliced-wasserstein-losses-2307.10352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/properties-of-discrete-sliced-wasserstein-losses-2307.10352"/></url>
<url><loc>https://scifaro.com/en/abs/a-matrix-ensemble-kalman-filter-based-multi-arm-neural-network-to-adequately-approximate-deep-neural-networks-2307.10436</loc><lastmod>2023-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-matrix-ensemble-kalman-filter-based-multi-arm-neural-network-to-adequately-approximate-deep-neural-networks-2307.10436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-matrix-ensemble-kalman-filter-based-multi-arm-neural-network-to-adequately-approximate-deep-neural-networks-2307.10436"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-meta-learning-can-guarantee-faster-rates-2307.10870</loc><lastmod>2025-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-meta-learning-can-guarantee-faster-rates-2307.10870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-meta-learning-can-guarantee-faster-rates-2307.10870"/></url>
<url><loc>https://scifaro.com/en/abs/amortized-variational-inference-when-and-why-2307.11018</loc><lastmod>2024-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amortized-variational-inference-when-and-why-2307.11018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amortized-variational-inference-when-and-why-2307.11018"/></url>
<url><loc>https://scifaro.com/en/abs/cluster-aware-semi-supervised-learning-relational-knowledge-distillation-provably-learns-clustering-2307.11030</loc><lastmod>2023-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cluster-aware-semi-supervised-learning-relational-knowledge-distillation-provably-learns-clustering-2307.11030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cluster-aware-semi-supervised-learning-relational-knowledge-distillation-provably-learns-clustering-2307.11030"/></url>
<url><loc>https://scifaro.com/en/abs/bounded-p-values-in-parametric-programming-based-selective-inference-2307.11351</loc><lastmod>2023-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounded-p-values-in-parametric-programming-based-selective-inference-2307.11351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounded-p-values-in-parametric-programming-based-selective-inference-2307.11351"/></url>
<url><loc>https://scifaro.com/en/abs/collaboratively-learning-linear-models-with-structured-missing-data-2307.11947</loc><lastmod>2023-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaboratively-learning-linear-models-with-structured-missing-data-2307.11947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaboratively-learning-linear-models-with-structured-missing-data-2307.11947"/></url>
<url><loc>https://scifaro.com/en/abs/out-of-distribution-optimality-of-invariant-risk-minimization-2307.11972</loc><lastmod>2024-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/out-of-distribution-optimality-of-invariant-risk-minimization-2307.11972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/out-of-distribution-optimality-of-invariant-risk-minimization-2307.11972"/></url>
<url><loc>https://scifaro.com/en/abs/a-flexible-framework-for-incorporating-patient-preferences-into-q-learning-2307.12022</loc><lastmod>2025-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-flexible-framework-for-incorporating-patient-preferences-into-q-learning-2307.12022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-flexible-framework-for-incorporating-patient-preferences-into-q-learning-2307.12022"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-analysis-of-test-data-sensitivity-in-uncertainty-2307.12456</loc><lastmod>2023-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-analysis-of-test-data-sensitivity-in-uncertainty-2307.12456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-analysis-of-test-data-sensitivity-in-uncertainty-2307.12456"/></url>
<url><loc>https://scifaro.com/en/abs/model-free-generalized-fiducial-inference-2307.12472</loc><lastmod>2025-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-free-generalized-fiducial-inference-2307.12472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-free-generalized-fiducial-inference-2307.12472"/></url>
<url><loc>https://scifaro.com/en/abs/policy-gradient-optimal-correlation-search-for-variance-reduction-in-monte-carlo-simulation-and-maximum-optimal-transport-2307.12703</loc><lastmod>2023-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-gradient-optimal-correlation-search-for-variance-reduction-in-monte-carlo-simulation-and-maximum-optimal-transport-2307.12703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-gradient-optimal-correlation-search-for-variance-reduction-in-monte-carlo-simulation-and-maximum-optimal-transport-2307.12703"/></url>
<url><loc>https://scifaro.com/en/abs/anytime-model-selection-in-linear-bandits-2307.12897</loc><lastmod>2023-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anytime-model-selection-in-linear-bandits-2307.12897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anytime-model-selection-in-linear-bandits-2307.12897"/></url>
<url><loc>https://scifaro.com/en/abs/a-differentially-private-weighted-empirical-risk-minimization-procedure-and-its-application-to-outcome-weighted-learning-2307.13127</loc><lastmod>2024-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-differentially-private-weighted-empirical-risk-minimization-procedure-and-its-application-to-outcome-weighted-learning-2307.13127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-differentially-private-weighted-empirical-risk-minimization-procedure-and-its-application-to-outcome-weighted-learning-2307.13127"/></url>
<url><loc>https://scifaro.com/en/abs/extending-path-dependent-nj-odes-to-noisy-observations-and-a-dependent-observation-framework-2307.13147</loc><lastmod>2024-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extending-path-dependent-nj-odes-to-noisy-observations-and-a-dependent-observation-framework-2307.13147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extending-path-dependent-nj-odes-to-noisy-observations-and-a-dependent-observation-framework-2307.13147"/></url>
<url><loc>https://scifaro.com/en/abs/modify-training-directions-in-function-space-to-reduce-generalization-error-2307.13290</loc><lastmod>2023-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modify-training-directions-in-function-space-to-reduce-generalization-error-2307.13290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modify-training-directions-in-function-space-to-reduce-generalization-error-2307.13290"/></url>
<url><loc>https://scifaro.com/en/abs/do-algorithms-and-barriers-for-sparse-principal-component-analysis-extend-to-other-structured-settings-2307.13535</loc><lastmod>2024-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-algorithms-and-barriers-for-sparse-principal-component-analysis-extend-to-other-structured-settings-2307.13535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-algorithms-and-barriers-for-sparse-principal-component-analysis-extend-to-other-structured-settings-2307.13535"/></url>
<url><loc>https://scifaro.com/en/abs/ai-and-ethics-in-insurance-a-new-solution-to-mitigate-proxy-discrimination-in-risk-modeling-2307.13616</loc><lastmod>2023-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ai-and-ethics-in-insurance-a-new-solution-to-mitigate-proxy-discrimination-in-risk-modeling-2307.13616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ai-and-ethics-in-insurance-a-new-solution-to-mitigate-proxy-discrimination-in-risk-modeling-2307.13616"/></url>
<url><loc>https://scifaro.com/en/abs/sobolev-space-regularised-pre-density-models-2307.13763</loc><lastmod>2024-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sobolev-space-regularised-pre-density-models-2307.13763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sobolev-space-regularised-pre-density-models-2307.13763"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-scale-your-ema-2307.13813</loc><lastmod>2023-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-scale-your-ema-2307.13813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-scale-your-ema-2307.13813"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-in-bandits-with-predicted-context-2307.13916</loc><lastmod>2024-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-in-bandits-with-predicted-context-2307.13916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-in-bandits-with-predicted-context-2307.13916"/></url>
<url><loc>https://scifaro.com/en/abs/simulation-based-inference-for-cardiovascular-models-2307.13918</loc><lastmod>2024-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulation-based-inference-for-cardiovascular-models-2307.13918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulation-based-inference-for-cardiovascular-models-2307.13918"/></url>
<url><loc>https://scifaro.com/en/abs/mcmc-correction-of-score-based-diffusion-models-for-model-composition-2307.14012</loc><lastmod>2026-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcmc-correction-of-score-based-diffusion-models-for-model-composition-2307.14012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcmc-correction-of-score-based-diffusion-models-for-model-composition-2307.14012"/></url>
<url><loc>https://scifaro.com/en/abs/toward-design-of-synthetic-active-inference-agents-by-mere-mortals-2307.14145</loc><lastmod>2023-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-design-of-synthetic-active-inference-agents-by-mere-mortals-2307.14145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-design-of-synthetic-active-inference-agents-by-mere-mortals-2307.14145"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-noise-reduction-in-dense-mixed-membership-stochastic-block-models-under-diverging-spiked-eigenvalues-condition-2307.14530</loc><lastmod>2025-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-noise-reduction-in-dense-mixed-membership-stochastic-block-models-under-diverging-spiked-eigenvalues-condition-2307.14530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-noise-reduction-in-dense-mixed-membership-stochastic-block-models-under-diverging-spiked-eigenvalues-condition-2307.14530"/></url>
<url><loc>https://scifaro.com/en/abs/linear-convergence-of-black-box-variational-inference-should-we-stick-the-landing-2307.14642</loc><lastmod>2025-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-convergence-of-black-box-variational-inference-should-we-stick-the-landing-2307.14642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-convergence-of-black-box-variational-inference-should-we-stick-the-landing-2307.14642"/></url>
<url><loc>https://scifaro.com/en/abs/speed-limits-for-deep-learning-2307.14653</loc><lastmod>2023-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/speed-limits-for-deep-learning-2307.14653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/speed-limits-for-deep-learning-2307.14653"/></url>
<url><loc>https://scifaro.com/en/abs/kernelised-normalising-flows-2307.14839</loc><lastmod>2024-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernelised-normalising-flows-2307.14839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernelised-normalising-flows-2307.14839"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-approximation-of-zonoids-and-uniform-approximation-by-shallow-neural-networks-2307.15285</loc><lastmod>2025-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-approximation-of-zonoids-and-uniform-approximation-by-shallow-neural-networks-2307.15285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-approximation-of-zonoids-and-uniform-approximation-by-shallow-neural-networks-2307.15285"/></url>
<url><loc>https://scifaro.com/en/abs/confident-feature-ranking-2307.15361</loc><lastmod>2024-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confident-feature-ranking-2307.15361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confident-feature-ranking-2307.15361"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-analysis-of-machine-learning-methods-for-lane-change-intention-recognition-using-vehicle-trajectory-data-2307.15625</loc><lastmod>2023-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-analysis-of-machine-learning-methods-for-lane-change-intention-recognition-using-vehicle-trajectory-data-2307.15625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-analysis-of-machine-learning-methods-for-lane-change-intention-recognition-using-vehicle-trajectory-data-2307.15625"/></url>
<url><loc>https://scifaro.com/en/abs/odtlearn-a-package-for-learning-optimal-decision-trees-for-prediction-and-prescription-2307.15691</loc><lastmod>2025-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/odtlearn-a-package-for-learning-optimal-decision-trees-for-prediction-and-prescription-2307.15691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/odtlearn-a-package-for-learning-optimal-decision-trees-for-prediction-and-prescription-2307.15691"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-variation-spaces-and-approximation-by-shallow-relu-networks-2307.15772</loc><lastmod>2024-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-variation-spaces-and-approximation-by-shallow-relu-networks-2307.15772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-variation-spaces-and-approximation-by-shallow-relu-networks-2307.15772"/></url>
<url><loc>https://scifaro.com/en/abs/comprehensive-algorithm-portfolio-evaluation-using-item-response-theory-2307.15850</loc><lastmod>2023-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comprehensive-algorithm-portfolio-evaluation-using-item-response-theory-2307.15850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comprehensive-algorithm-portfolio-evaluation-using-item-response-theory-2307.15850"/></url>
<url><loc>https://scifaro.com/en/abs/a-continuous-structural-intervention-distance-to-compare-causal-graphs-2307.16452</loc><lastmod>2023-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-continuous-structural-intervention-distance-to-compare-causal-graphs-2307.16452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-continuous-structural-intervention-distance-to-compare-causal-graphs-2307.16452"/></url>
<url><loc>https://scifaro.com/en/abs/classification-with-deep-neural-networks-and-logistic-loss-2307.16792</loc><lastmod>2024-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-with-deep-neural-networks-and-logistic-loss-2307.16792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-with-deep-neural-networks-and-logistic-loss-2307.16792"/></url>
<url><loc>https://scifaro.com/en/abs/best-subset-selection-in-generalized-linear-models-a-fast-and-consistent-algorithm-via-splicing-technique-2308.00251</loc><lastmod>2023-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/best-subset-selection-in-generalized-linear-models-a-fast-and-consistent-algorithm-via-splicing-technique-2308.00251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/best-subset-selection-in-generalized-linear-models-a-fast-and-consistent-algorithm-via-splicing-technique-2308.00251"/></url>
<url><loc>https://scifaro.com/en/abs/robust-linear-regression-phase-transitions-and-precise-tradeoffs-for-general-norms-2308.00556</loc><lastmod>2023-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-linear-regression-phase-transitions-and-precise-tradeoffs-for-general-norms-2308.00556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-linear-regression-phase-transitions-and-precise-tradeoffs-for-general-norms-2308.00556"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-variance-of-differentially-private-randomized-experiments-through-clustering-2308.00957</loc><lastmod>2025-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-variance-of-differentially-private-randomized-experiments-through-clustering-2308.00957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-variance-of-differentially-private-randomized-experiments-through-clustering-2308.00957"/></url>
<url><loc>https://scifaro.com/en/abs/simulation-based-inference-for-high-dimensional-data-using-surjective-sequential-neural-likelihood-estimation-2308.01054</loc><lastmod>2025-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulation-based-inference-for-high-dimensional-data-using-surjective-sequential-neural-likelihood-estimation-2308.01054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulation-based-inference-for-high-dimensional-data-using-surjective-sequential-neural-likelihood-estimation-2308.01054"/></url>
<url><loc>https://scifaro.com/en/abs/llms-understand-glass-box-models-discover-surprises-and-suggest-repairs-2308.01157</loc><lastmod>2023-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/llms-understand-glass-box-models-discover-surprises-and-suggest-repairs-2308.01157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/llms-understand-glass-box-models-discover-surprises-and-suggest-repairs-2308.01157"/></url>
<url><loc>https://scifaro.com/en/abs/global-hierarchical-neural-networks-using-hierarchical-softmax-2308.01210</loc><lastmod>2023-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-hierarchical-neural-networks-using-hierarchical-softmax-2308.01210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-hierarchical-neural-networks-using-hierarchical-softmax-2308.01210"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-machine-learning-for-discovery-statistical-challenges-opportunities-2308.01475</loc><lastmod>2023-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-machine-learning-for-discovery-statistical-challenges-opportunities-2308.01475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-machine-learning-for-discovery-statistical-challenges-opportunities-2308.01475"/></url>
<url><loc>https://scifaro.com/en/abs/telematics-combined-actuarial-neural-networks-for-cross-sectional-and-longitudinal-claim-count-data-2308.01729</loc><lastmod>2024-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/telematics-combined-actuarial-neural-networks-for-cross-sectional-and-longitudinal-claim-count-data-2308.01729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/telematics-combined-actuarial-neural-networks-for-cross-sectional-and-longitudinal-claim-count-data-2308.01729"/></url>
<url><loc>https://scifaro.com/en/abs/resampled-confidence-regions-with-exponential-shrinkage-for-the-regression-function-of-binary-classification-2308.01835</loc><lastmod>2025-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resampled-confidence-regions-with-exponential-shrinkage-for-the-regression-function-of-binary-classification-2308.01835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resampled-confidence-regions-with-exponential-shrinkage-for-the-regression-function-of-binary-classification-2308.01835"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-statistical-estimation-under-wasserstein-contamination-2308.01853</loc><lastmod>2025-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-statistical-estimation-under-wasserstein-contamination-2308.01853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-statistical-estimation-under-wasserstein-contamination-2308.01853"/></url>
<url><loc>https://scifaro.com/en/abs/online-multi-task-learning-with-recursive-least-squares-and-recursive-kernel-methods-2308.01938</loc><lastmod>2024-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-multi-task-learning-with-recursive-least-squares-and-recursive-kernel-methods-2308.01938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-multi-task-learning-with-recursive-least-squares-and-recursive-kernel-methods-2308.01938"/></url>
<url><loc>https://scifaro.com/en/abs/robust-independence-tests-with-finite-sample-guarantees-for-synchronous-stochastic-linear-systems-2308.02054</loc><lastmod>2023-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-independence-tests-with-finite-sample-guarantees-for-synchronous-stochastic-linear-systems-2308.02054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-independence-tests-with-finite-sample-guarantees-for-synchronous-stochastic-linear-systems-2308.02054"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-ratio-based-confidence-intervals-for-neural-networks-2308.02221</loc><lastmod>2023-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-ratio-based-confidence-intervals-for-neural-networks-2308.02221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-ratio-based-confidence-intervals-for-neural-networks-2308.02221"/></url>
<url><loc>https://scifaro.com/en/abs/pruning-a-neural-network-using-bayesian-inference-2308.02451</loc><lastmod>2023-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pruning-a-neural-network-using-bayesian-inference-2308.02451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pruning-a-neural-network-using-bayesian-inference-2308.02451"/></url>
<url><loc>https://scifaro.com/en/abs/generative-modelling-of-l-evy-area-for-high-order-sde-simulation-2308.02452</loc><lastmod>2026-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-modelling-of-l-evy-area-for-high-order-sde-simulation-2308.02452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-modelling-of-l-evy-area-for-high-order-sde-simulation-2308.02452"/></url>
<url><loc>https://scifaro.com/en/abs/an-intrinsic-approach-to-scalar-curvature-estimation-for-point-clouds-2308.02615</loc><lastmod>2023-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-intrinsic-approach-to-scalar-curvature-estimation-for-point-clouds-2308.02615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-intrinsic-approach-to-scalar-curvature-estimation-for-point-clouds-2308.02615"/></url>
<url><loc>https://scifaro.com/en/abs/physics-informed-gaussian-process-model-for-euler-bernoulli-beam-elements-2308.02894</loc><lastmod>2023-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-gaussian-process-model-for-euler-bernoulli-beam-elements-2308.02894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-gaussian-process-model-for-euler-bernoulli-beam-elements-2308.02894"/></url>
<url><loc>https://scifaro.com/en/abs/structured-low-rank-tensors-for-generalized-linear-models-2308.02922</loc><lastmod>2023-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-low-rank-tensors-for-generalized-linear-models-2308.02922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-low-rank-tensors-for-generalized-linear-models-2308.02922"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-oversampling-for-learning-from-imbalanced-datasets-and-associated-theory-2308.02966</loc><lastmod>2023-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-oversampling-for-learning-from-imbalanced-datasets-and-associated-theory-2308.02966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-oversampling-for-learning-from-imbalanced-datasets-and-associated-theory-2308.02966"/></url>
<url><loc>https://scifaro.com/en/abs/visualization-of-extremely-sparse-contingency-table-by-taxicab-correspondence-analysis-a-case-study-of-textual-data-2308.03079</loc><lastmod>2023-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualization-of-extremely-sparse-contingency-table-by-taxicab-correspondence-analysis-a-case-study-of-textual-data-2308.03079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualization-of-extremely-sparse-contingency-table-by-taxicab-correspondence-analysis-a-case-study-of-textual-data-2308.03079"/></url>
<url><loc>https://scifaro.com/en/abs/the-effect-of-sgd-batch-size-on-autoencoder-learning-sparsity-sharpness-and-feature-learning-2308.03215</loc><lastmod>2023-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-effect-of-sgd-batch-size-on-autoencoder-learning-sparsity-sharpness-and-feature-learning-2308.03215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-effect-of-sgd-batch-size-on-autoencoder-learning-sparsity-sharpness-and-feature-learning-2308.03215"/></url>
<url><loc>https://scifaro.com/en/abs/variable-importance-for-causal-forests-breaking-down-the-heterogeneity-of-treatment-effects-2308.03369</loc><lastmod>2023-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-importance-for-causal-forests-breaking-down-the-heterogeneity-of-treatment-effects-2308.03369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-importance-for-causal-forests-breaking-down-the-heterogeneity-of-treatment-effects-2308.03369"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-robust-estimator-for-off-policy-evaluation-with-large-action-spaces-2308.03443</loc><lastmod>2023-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-robust-estimator-for-off-policy-evaluation-with-large-action-spaces-2308.03443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-robust-estimator-for-off-policy-evaluation-with-large-action-spaces-2308.03443"/></url>
<url><loc>https://scifaro.com/en/abs/partial-identification-of-kernel-based-two-sample-tests-with-mismeasured-data-2308.03570</loc><lastmod>2023-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partial-identification-of-kernel-based-two-sample-tests-with-mismeasured-data-2308.03570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partial-identification-of-kernel-based-two-sample-tests-with-mismeasured-data-2308.03570"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-early-stopping-in-evolutionary-direct-policy-search-2308.03574</loc><lastmod>2024-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-early-stopping-in-evolutionary-direct-policy-search-2308.03574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-early-stopping-in-evolutionary-direct-policy-search-2308.03574"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-trustworthiness-and-open-world-learning-an-exploratory-neural-approach-for-enhancing-interpretability-generalization-and-robustness-2308.03666</loc><lastmod>2023-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-trustworthiness-and-open-world-learning-an-exploratory-neural-approach-for-enhancing-interpretability-generalization-and-robustness-2308.03666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-trustworthiness-and-open-world-learning-an-exploratory-neural-approach-for-enhancing-interpretability-generalization-and-robustness-2308.03666"/></url>
<url><loc>https://scifaro.com/en/abs/nearly-d-linear-convergence-bounds-for-diffusion-models-via-stochastic-localization-2308.03686</loc><lastmod>2024-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearly-d-linear-convergence-bounds-for-diffusion-models-via-stochastic-localization-2308.03686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearly-d-linear-convergence-bounds-for-diffusion-models-via-stochastic-localization-2308.03686"/></url>
<url><loc>https://scifaro.com/en/abs/generative-models-for-anomaly-detection-and-design-space-dimensionality-reduction-in-shape-optimization-2308.04051</loc><lastmod>2023-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-models-for-anomaly-detection-and-design-space-dimensionality-reduction-in-shape-optimization-2308.04051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-models-for-anomaly-detection-and-design-space-dimensionality-reduction-in-shape-optimization-2308.04051"/></url>
<url><loc>https://scifaro.com/en/abs/toward-improving-predictive-risk-modelling-for-new-zealand-s-child-welfare-system-using-clustering-methods-2308.04060</loc><lastmod>2023-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-improving-predictive-risk-modelling-for-new-zealand-s-child-welfare-system-using-clustering-methods-2308.04060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-improving-predictive-risk-modelling-for-new-zealand-s-child-welfare-system-using-clustering-methods-2308.04060"/></url>
<url><loc>https://scifaro.com/en/abs/varying-coefficients-for-regional-quantile-via-knn-based-lasso-with-applications-to-health-outcome-study-2308.04212</loc><lastmod>2023-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/varying-coefficients-for-regional-quantile-via-knn-based-lasso-with-applications-to-health-outcome-study-2308.04212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/varying-coefficients-for-regional-quantile-via-knn-based-lasso-with-applications-to-health-outcome-study-2308.04212"/></url>
<url><loc>https://scifaro.com/en/abs/slem-machine-learning-for-path-modeling-and-causal-inference-with-super-learner-equation-modeling-2308.04365</loc><lastmod>2024-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/slem-machine-learning-for-path-modeling-and-causal-inference-with-super-learner-equation-modeling-2308.04365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/slem-machine-learning-for-path-modeling-and-causal-inference-with-super-learner-equation-modeling-2308.04365"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-linear-representation-learning-from-non-iid-non-isotropic-data-2308.04428</loc><lastmod>2024-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-linear-representation-learning-from-non-iid-non-isotropic-data-2308.04428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-linear-representation-learning-from-non-iid-non-isotropic-data-2308.04428"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-single-proxy-control-for-deterministic-confounding-2308.04585</loc><lastmod>2025-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-single-proxy-control-for-deterministic-confounding-2308.04585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-single-proxy-control-for-deterministic-confounding-2308.04585"/></url>
<url><loc>https://scifaro.com/en/abs/updating-clinical-risk-stratification-models-using-rank-based-compatibility-approaches-for-evaluating-and-optimizing-clinician-model-team-performance-2308.05619</loc><lastmod>2023-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/updating-clinical-risk-stratification-models-using-rank-based-compatibility-approaches-for-evaluating-and-optimizing-clinician-model-team-performance-2308.05619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/updating-clinical-risk-stratification-models-using-rank-based-compatibility-approaches-for-evaluating-and-optimizing-clinician-model-team-performance-2308.05619"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-regression-for-maximum-entropy-distribution-2308.06149</loc><lastmod>2023-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-regression-for-maximum-entropy-distribution-2308.06149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-regression-for-maximum-entropy-distribution-2308.06149"/></url>
<url><loc>https://scifaro.com/en/abs/change-point-detection-with-conceptors-2308.06213</loc><lastmod>2023-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/change-point-detection-with-conceptors-2308.06213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/change-point-detection-with-conceptors-2308.06213"/></url>
<url><loc>https://scifaro.com/en/abs/learning-bayesian-networks-with-heterogeneous-agronomic-data-sets-via-mixed-effect-models-and-hierarchical-clustering-2308.06399</loc><lastmod>2024-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-bayesian-networks-with-heterogeneous-agronomic-data-sets-via-mixed-effect-models-and-hierarchical-clustering-2308.06399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-bayesian-networks-with-heterogeneous-agronomic-data-sets-via-mixed-effect-models-and-hierarchical-clustering-2308.06399"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-structural-shifts-in-multivariate-hawkes-processes-with-fr-echet-statistics-2308.06769</loc><lastmod>2025-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-structural-shifts-in-multivariate-hawkes-processes-with-fr-echet-statistics-2308.06769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-structural-shifts-in-multivariate-hawkes-processes-with-fr-echet-statistics-2308.06769"/></url>
<url><loc>https://scifaro.com/en/abs/addressing-distribution-shift-in-rtb-markets-via-exponential-tilting-2308.07424</loc><lastmod>2024-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/addressing-distribution-shift-in-rtb-markets-via-exponential-tilting-2308.07424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/addressing-distribution-shift-in-rtb-markets-via-exponential-tilting-2308.07424"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinearity-feedback-and-uniform-consistency-in-causal-structural-learning-2308.07520</loc><lastmod>2024-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinearity-feedback-and-uniform-consistency-in-causal-structural-learning-2308.07520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinearity-feedback-and-uniform-consistency-in-causal-structural-learning-2308.07520"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-operator-driven-real-time-inference-for-nuclear-systems-to-enable-digital-twin-solutions-2308.07523</loc><lastmod>2024-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-operator-driven-real-time-inference-for-nuclear-systems-to-enable-digital-twin-solutions-2308.07523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-operator-driven-real-time-inference-for-nuclear-systems-to-enable-digital-twin-solutions-2308.07523"/></url>
<url><loc>https://scifaro.com/en/abs/scire-solver-accelerating-diffusion-models-sampling-by-score-integrand-solver-with-recursive-difference-2308.07896</loc><lastmod>2023-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scire-solver-accelerating-diffusion-models-sampling-by-score-integrand-solver-with-recursive-difference-2308.07896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scire-solver-accelerating-diffusion-models-sampling-by-score-integrand-solver-with-recursive-difference-2308.07896"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-guided-diffusion-for-bayesian-linear-inverse-problems-2308.07983</loc><lastmod>2023-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-guided-diffusion-for-bayesian-linear-inverse-problems-2308.07983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-guided-diffusion-for-bayesian-linear-inverse-problems-2308.07983"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-data-generated-by-gaussian-mixture-models-using-deep-relu-networks-2308.08030</loc><lastmod>2023-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-data-generated-by-gaussian-mixture-models-using-deep-relu-networks-2308.08030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-data-generated-by-gaussian-mixture-models-using-deep-relu-networks-2308.08030"/></url>
<url><loc>https://scifaro.com/en/abs/robust-bayesian-tensor-factorization-with-zero-inflated-poisson-model-and-consensus-aggregation-2308.08060</loc><lastmod>2023-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-bayesian-tensor-factorization-with-zero-inflated-poisson-model-and-consensus-aggregation-2308.08060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-bayesian-tensor-factorization-with-zero-inflated-poisson-model-and-consensus-aggregation-2308.08060"/></url>
<url><loc>https://scifaro.com/en/abs/max-affine-regression-via-first-order-methods-2308.08070</loc><lastmod>2023-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/max-affine-regression-via-first-order-methods-2308.08070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/max-affine-regression-via-first-order-methods-2308.08070"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-multiphase-rates-for-nearest-neighbor-classifiers-2308.08247</loc><lastmod>2025-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-multiphase-rates-for-nearest-neighbor-classifiers-2308.08247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-multiphase-rates-for-nearest-neighbor-classifiers-2308.08247"/></url>
<url><loc>https://scifaro.com/en/abs/warped-geometric-information-on-the-optimisation-of-euclidean-functions-2308.08305</loc><lastmod>2024-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/warped-geometric-information-on-the-optimisation-of-euclidean-functions-2308.08305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/warped-geometric-information-on-the-optimisation-of-euclidean-functions-2308.08305"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-sweep-for-binary-quantification-learning-2308.08387</loc><lastmod>2024-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-sweep-for-binary-quantification-learning-2308.08387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-sweep-for-binary-quantification-learning-2308.08387"/></url>
<url><loc>https://scifaro.com/en/abs/eliciting-risk-aversion-with-inverse-reinforcement-learning-via-interactive-questioning-2308.08427</loc><lastmod>2025-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eliciting-risk-aversion-with-inverse-reinforcement-learning-via-interactive-questioning-2308.08427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eliciting-risk-aversion-with-inverse-reinforcement-learning-via-interactive-questioning-2308.08427"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-based-tests-for-likelihood-free-hypothesis-testing-2308.09043</loc><lastmod>2023-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-based-tests-for-likelihood-free-hypothesis-testing-2308.09043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-based-tests-for-likelihood-free-hypothesis-testing-2308.09043"/></url>
<url><loc>https://scifaro.com/en/abs/spike-and-slab-shrinkage-priors-for-structurally-sparse-bayesian-neural-networks-2308.09104</loc><lastmod>2024-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spike-and-slab-shrinkage-priors-for-structurally-sparse-bayesian-neural-networks-2308.09104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spike-and-slab-shrinkage-priors-for-structurally-sparse-bayesian-neural-networks-2308.09104"/></url>
<url><loc>https://scifaro.com/en/abs/multi-fidelity-fourier-neural-operator-for-fast-modeling-of-large-scale-geological-carbon-storage-2308.09113</loc><lastmod>2024-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-fidelity-fourier-neural-operator-for-fast-modeling-of-large-scale-geological-carbon-storage-2308.09113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-fidelity-fourier-neural-operator-for-fast-modeling-of-large-scale-geological-carbon-storage-2308.09113"/></url>
<url><loc>https://scifaro.com/en/abs/rtb-formulation-using-point-process-2308.09122</loc><lastmod>2023-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rtb-formulation-using-point-process-2308.09122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rtb-formulation-using-point-process-2308.09122"/></url>
<url><loc>https://scifaro.com/en/abs/path-signatures-for-seizure-forecasting-2308.09312</loc><lastmod>2023-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/path-signatures-for-seizure-forecasting-2308.09312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/path-signatures-for-seizure-forecasting-2308.09312"/></url>
<url><loc>https://scifaro.com/en/abs/noise-sensitivity-and-stability-of-deep-neural-networks-for-binary-classification-2308.09374</loc><lastmod>2023-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-sensitivity-and-stability-of-deep-neural-networks-for-binary-classification-2308.09374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-sensitivity-and-stability-of-deep-neural-networks-for-binary-classification-2308.09374"/></url>
<url><loc>https://scifaro.com/en/abs/reduced-order-modeling-of-a-moose-based-advanced-manufacturing-model-with-operator-learning-2308.09691</loc><lastmod>2023-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reduced-order-modeling-of-a-moose-based-advanced-manufacturing-model-with-operator-learning-2308.09691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reduced-order-modeling-of-a-moose-based-advanced-manufacturing-model-with-operator-learning-2308.09691"/></url>
<url><loc>https://scifaro.com/en/abs/a-two-part-machine-learning-approach-to-characterizing-network-interference-in-a-b-testing-2308.09790</loc><lastmod>2024-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-two-part-machine-learning-approach-to-characterizing-network-interference-in-a-b-testing-2308.09790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-two-part-machine-learning-approach-to-characterizing-network-interference-in-a-b-testing-2308.09790"/></url>
<url><loc>https://scifaro.com/en/abs/on-estimating-the-gradient-of-the-expected-information-gain-in-bayesian-experimental-design-2308.09888</loc><lastmod>2023-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-estimating-the-gradient-of-the-expected-information-gain-in-bayesian-experimental-design-2308.09888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-estimating-the-gradient-of-the-expected-information-gain-in-bayesian-experimental-design-2308.09888"/></url>
<url><loc>https://scifaro.com/en/abs/semi-implicit-variational-inference-via-score-matching-2308.10014</loc><lastmod>2023-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-implicit-variational-inference-via-score-matching-2308.10014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-implicit-variational-inference-via-score-matching-2308.10014"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-random-networks-with-heterogeneous-reciprocity-2308.10113</loc><lastmod>2023-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-random-networks-with-heterogeneous-reciprocity-2308.10113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-random-networks-with-heterogeneous-reciprocity-2308.10113"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-geodesic-generator-for-conditional-distributions-2308.10145</loc><lastmod>2023-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-geodesic-generator-for-conditional-distributions-2308.10145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-geodesic-generator-for-conditional-distributions-2308.10145"/></url>
<url><loc>https://scifaro.com/en/abs/approximately-equivariant-graph-networks-2308.10436</loc><lastmod>2023-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximately-equivariant-graph-networks-2308.10436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximately-equivariant-graph-networks-2308.10436"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-complex-systems-with-cascades-using-continuous-time-bayesian-networks-2308.10606</loc><lastmod>2023-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-complex-systems-with-cascades-using-continuous-time-bayesian-networks-2308.10606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-complex-systems-with-cascades-using-continuous-time-bayesian-networks-2308.10606"/></url>
<url><loc>https://scifaro.com/en/abs/standardized-interpretable-fairness-measures-for-continuous-risk-scores-2308.11375</loc><lastmod>2024-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/standardized-interpretable-fairness-measures-for-continuous-risk-scores-2308.11375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/standardized-interpretable-fairness-measures-for-continuous-risk-scores-2308.11375"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-regression-2308.11419</loc><lastmod>2023-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-regression-2308.11419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-regression-2308.11419"/></url>
<url><loc>https://scifaro.com/en/abs/data-assimilation-for-sign-indefinite-priors-a-generalization-of-sinkhorn-s-algorithm-2308.11791</loc><lastmod>2023-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-assimilation-for-sign-indefinite-priors-a-generalization-of-sinkhorn-s-algorithm-2308.11791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-assimilation-for-sign-indefinite-priors-a-generalization-of-sinkhorn-s-algorithm-2308.11791"/></url>
<url><loc>https://scifaro.com/en/abs/on-universally-optimal-algorithms-for-a-b-testing-2308.12000</loc><lastmod>2024-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-universally-optimal-algorithms-for-a-b-testing-2308.12000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-universally-optimal-algorithms-for-a-b-testing-2308.12000"/></url>
<url><loc>https://scifaro.com/en/abs/mkl-l-0-1-svm-2308.12016</loc><lastmod>2023-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mkl-l-0-1-svm-2308.12016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mkl-l-0-1-svm-2308.12016"/></url>
<url><loc>https://scifaro.com/en/abs/the-local-learning-coefficient-a-singularity-aware-complexity-measure-2308.12108</loc><lastmod>2024-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-local-learning-coefficient-a-singularity-aware-complexity-measure-2308.12108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-local-learning-coefficient-a-singularity-aware-complexity-measure-2308.12108"/></url>
<url><loc>https://scifaro.com/en/abs/fat-shattering-joint-measurability-and-pac-learnability-of-povm-hypothesis-classes-2308.12304</loc><lastmod>2023-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fat-shattering-joint-measurability-and-pac-learnability-of-povm-hypothesis-classes-2308.12304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fat-shattering-joint-measurability-and-pac-learnability-of-povm-hypothesis-classes-2308.12304"/></url>
<url><loc>https://scifaro.com/en/abs/a-greedy-approach-for-offering-to-telecom-subscribers-2308.12606</loc><lastmod>2023-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-greedy-approach-for-offering-to-telecom-subscribers-2308.12606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-greedy-approach-for-offering-to-telecom-subscribers-2308.12606"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-additive-value-functions-interpretable-reinforcement-learning-with-an-application-to-surgical-recovery-2308.13135</loc><lastmod>2025-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-additive-value-functions-interpretable-reinforcement-learning-with-an-application-to-surgical-recovery-2308.13135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-additive-value-functions-interpretable-reinforcement-learning-with-an-application-to-surgical-recovery-2308.13135"/></url>
<url><loc>https://scifaro.com/en/abs/a-topological-model-for-partial-equivariance-in-deep-learning-and-data-analysis-2308.13357</loc><lastmod>2023-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-topological-model-for-partial-equivariance-in-deep-learning-and-data-analysis-2308.13357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-topological-model-for-partial-equivariance-in-deep-learning-and-data-analysis-2308.13357"/></url>
<url><loc>https://scifaro.com/en/abs/six-lectures-on-linearized-neural-networks-2308.13431</loc><lastmod>2023-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/six-lectures-on-linearized-neural-networks-2308.13431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/six-lectures-on-linearized-neural-networks-2308.13431"/></url>
<url><loc>https://scifaro.com/en/abs/gotta-match-em-all-solution-diversification-in-graph-matching-matched-filters-2308.13451</loc><lastmod>2024-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gotta-match-em-all-solution-diversification-in-graph-matching-matched-filters-2308.13451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gotta-match-em-all-solution-diversification-in-graph-matching-matched-filters-2308.13451"/></url>
<url><loc>https://scifaro.com/en/abs/learning-variational-autoencoders-via-mcmc-speed-measures-2308.13731</loc><lastmod>2023-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-variational-autoencoders-via-mcmc-speed-measures-2308.13731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-variational-autoencoders-via-mcmc-speed-measures-2308.13731"/></url>
<url><loc>https://scifaro.com/en/abs/online-gentleadaboost-technical-report-2308.14004</loc><lastmod>2023-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-gentleadaboost-technical-report-2308.14004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-gentleadaboost-technical-report-2308.14004"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-non-parametric-approach-to-generative-models-integrating-variational-autoencoder-and-generative-adversarial-networks-using-wasserstein-and-maximum-mean-discrepancy-2308.14048</loc><lastmod>2025-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-non-parametric-approach-to-generative-models-integrating-variational-autoencoder-and-generative-adversarial-networks-using-wasserstein-and-maximum-mean-discrepancy-2308.14048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-non-parametric-approach-to-generative-models-integrating-variational-autoencoder-and-generative-adversarial-networks-using-wasserstein-and-maximum-mean-discrepancy-2308.14048"/></url>
<url><loc>https://scifaro.com/en/abs/integrated-variational-fourier-features-for-fast-spatial-modelling-with-gaussian-processes-2308.14142</loc><lastmod>2024-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrated-variational-fourier-features-for-fast-spatial-modelling-with-gaussian-processes-2308.14142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrated-variational-fourier-features-for-fast-spatial-modelling-with-gaussian-processes-2308.14142"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-sparse-manifold-transform-2308.14207</loc><lastmod>2023-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-sparse-manifold-transform-2308.14207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-sparse-manifold-transform-2308.14207"/></url>
<url><loc>https://scifaro.com/en/abs/buy-when-survival-machine-learning-model-comparison-for-purchase-timing-2308.14343</loc><lastmod>2023-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/buy-when-survival-machine-learning-model-comparison-for-purchase-timing-2308.14343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/buy-when-survival-machine-learning-model-comparison-for-purchase-timing-2308.14343"/></url>
<url><loc>https://scifaro.com/en/abs/biclustering-methods-via-sparse-penalty-2308.14388</loc><lastmod>2023-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biclustering-methods-via-sparse-penalty-2308.14388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biclustering-methods-via-sparse-penalty-2308.14388"/></url>
<url><loc>https://scifaro.com/en/abs/some-issues-in-robust-clustering-2308.14478</loc><lastmod>2023-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/some-issues-in-robust-clustering-2308.14478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/some-issues-in-robust-clustering-2308.14478"/></url>
<url><loc>https://scifaro.com/en/abs/diversified-ensemble-of-independent-sub-networks-for-robust-self-supervised-representation-learning-2308.14705</loc><lastmod>2023-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diversified-ensemble-of-independent-sub-networks-for-robust-self-supervised-representation-learning-2308.14705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diversified-ensemble-of-independent-sub-networks-for-robust-self-supervised-representation-learning-2308.14705"/></url>
<url><loc>https://scifaro.com/en/abs/a-correlation-based-fuzzy-cluster-validity-index-with-secondary-options-detector-2308.14785</loc><lastmod>2025-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-correlation-based-fuzzy-cluster-validity-index-with-secondary-options-detector-2308.14785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-correlation-based-fuzzy-cluster-validity-index-with-secondary-options-detector-2308.14785"/></url>
<url><loc>https://scifaro.com/en/abs/noise-free-sampling-algorithms-via-regularized-wasserstein-proximals-2308.14945</loc><lastmod>2023-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-free-sampling-algorithms-via-regularized-wasserstein-proximals-2308.14945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-free-sampling-algorithms-via-regularized-wasserstein-proximals-2308.14945"/></url>
<url><loc>https://scifaro.com/en/abs/multi-response-heteroscedastic-gaussian-process-models-and-their-inference-2308.15370</loc><lastmod>2023-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-response-heteroscedastic-gaussian-process-models-and-their-inference-2308.15370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-response-heteroscedastic-gaussian-process-models-and-their-inference-2308.15370"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-and-bayesian-inference-for-inverse-problems-2308.15492</loc><lastmod>2023-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-and-bayesian-inference-for-inverse-problems-2308.15492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-and-bayesian-inference-for-inverse-problems-2308.15492"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-lasso-transfer-lasso-and-beyond-an-asymptotic-perspective-2308.15838</loc><lastmod>2024-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-lasso-transfer-lasso-and-beyond-an-asymptotic-perspective-2308.15838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-lasso-transfer-lasso-and-beyond-an-asymptotic-perspective-2308.15838"/></url>
<url><loc>https://scifaro.com/en/abs/pavi-plate-amortized-variational-inference-2308.16022</loc><lastmod>2023-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pavi-plate-amortized-variational-inference-2308.16022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pavi-plate-amortized-variational-inference-2308.16022"/></url>
<url><loc>https://scifaro.com/en/abs/a-parameter-free-two-bit-covariance-estimator-with-improved-operator-norm-error-rate-2308.16059</loc><lastmod>2024-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-parameter-free-two-bit-covariance-estimator-with-improved-operator-norm-error-rate-2308.16059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-parameter-free-two-bit-covariance-estimator-with-improved-operator-norm-error-rate-2308.16059"/></url>
<url><loc>https://scifaro.com/en/abs/least-squares-maximum-and-weighted-generalization-memorization-machines-2308.16456</loc><lastmod>2023-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/least-squares-maximum-and-weighted-generalization-memorization-machines-2308.16456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/least-squares-maximum-and-weighted-generalization-memorization-machines-2308.16456"/></url>
<url><loc>https://scifaro.com/en/abs/branches-of-a-tree-taking-derivatives-of-programs-with-discrete-and-branching-randomness-in-high-energy-physics-2308.16680</loc><lastmod>2023-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/branches-of-a-tree-taking-derivatives-of-programs-with-discrete-and-branching-randomness-in-high-energy-physics-2308.16680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/branches-of-a-tree-taking-derivatives-of-programs-with-discrete-and-branching-randomness-in-high-energy-physics-2308.16680"/></url>
<url><loc>https://scifaro.com/en/abs/one-model-many-scores-using-multiverse-analysis-to-prevent-fairness-hacking-and-evaluate-the-influence-of-model-design-decisions-2308.16681</loc><lastmod>2024-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-model-many-scores-using-multiverse-analysis-to-prevent-fairness-hacking-and-evaluate-the-influence-of-model-design-decisions-2308.16681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-model-many-scores-using-multiverse-analysis-to-prevent-fairness-hacking-and-evaluate-the-influence-of-model-design-decisions-2308.16681"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretically-optimal-sample-complexity-of-learning-dynamical-directed-acyclic-graphs-2308.16859</loc><lastmod>2024-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretically-optimal-sample-complexity-of-learning-dynamical-directed-acyclic-graphs-2308.16859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretically-optimal-sample-complexity-of-learning-dynamical-directed-acyclic-graphs-2308.16859"/></url>
<url><loc>https://scifaro.com/en/abs/pure-differential-privacy-for-functional-summaries-with-a-laplace-like-process-2309.00125</loc><lastmod>2026-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pure-differential-privacy-for-functional-summaries-with-a-laplace-like-process-2309.00125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pure-differential-privacy-for-functional-summaries-with-a-laplace-like-process-2309.00125"/></url>
<url><loc>https://scifaro.com/en/abs/learning-multi-modal-generative-models-with-permutation-invariant-encoders-and-tighter-variational-objectives-2309.00380</loc><lastmod>2024-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-multi-modal-generative-models-with-permutation-invariant-encoders-and-tighter-variational-objectives-2309.00380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-multi-modal-generative-models-with-permutation-invariant-encoders-and-tighter-variational-objectives-2309.00380"/></url>
<url><loc>https://scifaro.com/en/abs/concentrated-differential-privacy-for-bandits-2309.00557</loc><lastmod>2024-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concentrated-differential-privacy-for-bandits-2309.00557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concentrated-differential-privacy-for-bandits-2309.00557"/></url>
<url><loc>https://scifaro.com/en/abs/interpretation-of-high-dimensional-linear-regression-effects-of-nullspace-and-regularization-demonstrated-on-battery-data-2309.00564</loc><lastmod>2023-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretation-of-high-dimensional-linear-regression-effects-of-nullspace-and-regularization-demonstrated-on-battery-data-2309.00564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretation-of-high-dimensional-linear-regression-effects-of-nullspace-and-regularization-demonstrated-on-battery-data-2309.00564"/></url>
<url><loc>https://scifaro.com/en/abs/mechanism-of-feature-learning-in-convolutional-neural-networks-2309.00570</loc><lastmod>2023-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mechanism-of-feature-learning-in-convolutional-neural-networks-2309.00570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mechanism-of-feature-learning-in-convolutional-neural-networks-2309.00570"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-diagnostics-part-i-prevalence-uncertainty-quantification-and-machine-learning-2309.00645</loc><lastmod>2024-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-diagnostics-part-i-prevalence-uncertainty-quantification-and-machine-learning-2309.00645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-diagnostics-part-i-prevalence-uncertainty-quantification-and-machine-learning-2309.00645"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-error-estimation-in-random-forests-2309.00736</loc><lastmod>2024-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-error-estimation-in-random-forests-2309.00736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-error-estimation-in-random-forests-2309.00736"/></url>
<url><loc>https://scifaro.com/en/abs/non-asymptotic-bounds-for-adversarial-excess-risk-under-misspecified-models-2309.00771</loc><lastmod>2023-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-asymptotic-bounds-for-adversarial-excess-risk-under-misspecified-models-2309.00771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-asymptotic-bounds-for-adversarial-excess-risk-under-misspecified-models-2309.00771"/></url>
<url><loc>https://scifaro.com/en/abs/an-ensemble-score-filter-for-tracking-high-dimensional-nonlinear-dynamical-systems-2309.00983</loc><lastmod>2024-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-ensemble-score-filter-for-tracking-high-dimensional-nonlinear-dynamical-systems-2309.00983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-ensemble-score-filter-for-tracking-high-dimensional-nonlinear-dynamical-systems-2309.00983"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-sparsity-and-class-sparsity-priors-for-dictionary-learning-and-coding-2309.00999</loc><lastmod>2023-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-sparsity-and-class-sparsity-priors-for-dictionary-learning-and-coding-2309.00999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-sparsity-and-class-sparsity-priors-for-dictionary-learning-and-coding-2309.00999"/></url>
<url><loc>https://scifaro.com/en/abs/tropical-geometric-tools-for-machine-learning-the-tml-package-2309.01082</loc><lastmod>2024-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tropical-geometric-tools-for-machine-learning-the-tml-package-2309.01082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tropical-geometric-tools-for-machine-learning-the-tml-package-2309.01082"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-regularization-of-deep-residual-networks-towards-neural-odes-2309.01213</loc><lastmod>2024-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-regularization-of-deep-residual-networks-towards-neural-odes-2309.01213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-regularization-of-deep-residual-networks-towards-neural-odes-2309.01213"/></url>
<url><loc>https://scifaro.com/en/abs/les-houches-lectures-on-deep-learning-at-large-infinite-width-2309.01592</loc><lastmod>2024-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/les-houches-lectures-on-deep-learning-at-large-infinite-width-2309.01592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/les-houches-lectures-on-deep-learning-at-large-infinite-width-2309.01592"/></url>
<url><loc>https://scifaro.com/en/abs/locally-stationary-graph-processes-2309.01657</loc><lastmod>2024-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-stationary-graph-processes-2309.01657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-stationary-graph-processes-2309.01657"/></url>
<url><loc>https://scifaro.com/en/abs/robust-penalized-least-squares-of-depth-trimmed-residuals-regression-for-high-dimensional-data-2309.01666</loc><lastmod>2023-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-penalized-least-squares-of-depth-trimmed-residuals-regression-for-high-dimensional-data-2309.01666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-penalized-least-squares-of-depth-trimmed-residuals-regression-for-high-dimensional-data-2309.01666"/></url>
<url><loc>https://scifaro.com/en/abs/quantease-optimization-based-quantization-for-language-models-2309.01885</loc><lastmod>2023-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantease-optimization-based-quantization-for-language-models-2309.01885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantease-optimization-based-quantization-for-language-models-2309.01885"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-function-space-representation-of-neural-networks-2309.02195</loc><lastmod>2023-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-function-space-representation-of-neural-networks-2309.02195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-function-space-representation-of-neural-networks-2309.02195"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-complexity-of-differentially-private-best-arm-identification-with-fixed-confidence-2309.02202</loc><lastmod>2023-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-complexity-of-differentially-private-best-arm-identification-with-fixed-confidence-2309.02202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-complexity-of-differentially-private-best-arm-identification-with-fixed-confidence-2309.02202"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-robust-learning-for-multi-source-unsupervised-domain-adaptation-2309.02211</loc><lastmod>2025-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-robust-learning-for-multi-source-unsupervised-domain-adaptation-2309.02211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-robust-learning-for-multi-source-unsupervised-domain-adaptation-2309.02211"/></url>
<url><loc>https://scifaro.com/en/abs/computing-shap-efficiently-using-model-structure-information-2309.02417</loc><lastmod>2023-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-shap-efficiently-using-model-structure-information-2309.02417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-shap-efficiently-using-model-structure-information-2309.02417"/></url>
<url><loc>https://scifaro.com/en/abs/integral-probability-metrics-meet-neural-networks-the-radon-kolmogorov-smirnov-test-2309.02422</loc><lastmod>2025-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integral-probability-metrics-meet-neural-networks-the-radon-kolmogorov-smirnov-test-2309.02422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integral-probability-metrics-meet-neural-networks-the-radon-kolmogorov-smirnov-test-2309.02422"/></url>
<url><loc>https://scifaro.com/en/abs/monotone-tree-based-gami-models-by-adapting-xgboost-2309.02426</loc><lastmod>2023-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monotone-tree-based-gami-models-by-adapting-xgboost-2309.02426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monotone-tree-based-gami-models-by-adapting-xgboost-2309.02426"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-sample-selection-through-uncertainty-estimation-and-its-application-in-deep-learning-2309.02476</loc><lastmod>2023-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-sample-selection-through-uncertainty-estimation-and-its-application-in-deep-learning-2309.02476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-sample-selection-through-uncertainty-estimation-and-its-application-in-deep-learning-2309.02476"/></url>
<url><loc>https://scifaro.com/en/abs/data-aggregation-for-hierarchical-clustering-2309.02552</loc><lastmod>2023-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-aggregation-for-hierarchical-clustering-2309.02552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-aggregation-for-hierarchical-clustering-2309.02552"/></url>
<url><loc>https://scifaro.com/en/abs/generalised-mutual-information-a-framework-for-discriminative-clustering-2309.02858</loc><lastmod>2023-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalised-mutual-information-a-framework-for-discriminative-clustering-2309.02858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalised-mutual-information-a-framework-for-discriminative-clustering-2309.02858"/></url>
<url><loc>https://scifaro.com/en/abs/amortised-inference-in-bayesian-neural-networks-2309.03018</loc><lastmod>2023-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amortised-inference-in-bayesian-neural-networks-2309.03018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amortised-inference-in-bayesian-neural-networks-2309.03018"/></url>
<url><loc>https://scifaro.com/en/abs/learning-active-subspaces-for-effective-and-scalable-uncertainty-quantification-in-deep-neural-networks-2309.03061</loc><lastmod>2023-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-active-subspaces-for-effective-and-scalable-uncertainty-quantification-in-deep-neural-networks-2309.03061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-active-subspaces-for-effective-and-scalable-uncertainty-quantification-in-deep-neural-networks-2309.03061"/></url>
<url><loc>https://scifaro.com/en/abs/smoothing-admm-for-sparse-penalized-quantile-regression-with-non-convex-penalties-2309.03094</loc><lastmod>2023-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smoothing-admm-for-sparse-penalized-quantile-regression-with-non-convex-penalties-2309.03094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smoothing-admm-for-sparse-penalized-quantile-regression-with-non-convex-penalties-2309.03094"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-linear-interpolators-the-role-of-ensembling-2309.03354</loc><lastmod>2023-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-linear-interpolators-the-role-of-ensembling-2309.03354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-linear-interpolators-the-role-of-ensembling-2309.03354"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-dynamics-of-multi-agent-nonlinear-filtering-and-learning-2309.03557</loc><lastmod>2023-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-dynamics-of-multi-agent-nonlinear-filtering-and-learning-2309.03557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-dynamics-of-multi-agent-nonlinear-filtering-and-learning-2309.03557"/></url>
<url><loc>https://scifaro.com/en/abs/trinary-decision-trees-for-handling-missing-data-2309.03561</loc><lastmod>2024-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trinary-decision-trees-for-handling-missing-data-2309.03561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trinary-decision-trees-for-handling-missing-data-2309.03561"/></url>
<url><loc>https://scifaro.com/en/abs/a-probabilistic-semi-supervised-approach-with-triplet-markov-chains-2309.03707</loc><lastmod>2023-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probabilistic-semi-supervised-approach-with-triplet-markov-chains-2309.03707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probabilistic-semi-supervised-approach-with-triplet-markov-chains-2309.03707"/></url>
<url><loc>https://scifaro.com/en/abs/neural-lasso-a-unifying-approach-of-lasso-and-neural-networks-2309.03770</loc><lastmod>2023-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-lasso-a-unifying-approach-of-lasso-and-neural-networks-2309.03770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-lasso-a-unifying-approach-of-lasso-and-neural-networks-2309.03770"/></url>
<url><loc>https://scifaro.com/en/abs/improved-theoretical-guarantee-for-rank-aggregation-via-spectral-method-2309.03808</loc><lastmod>2023-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-theoretical-guarantee-for-rank-aggregation-via-spectral-method-2309.03808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-theoretical-guarantee-for-rank-aggregation-via-spectral-method-2309.03808"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-risk-minimization-for-losses-without-variance-2309.03818</loc><lastmod>2023-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-risk-minimization-for-losses-without-variance-2309.03818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-risk-minimization-for-losses-without-variance-2309.03818"/></url>
<url><loc>https://scifaro.com/en/abs/early-warning-indicators-via-latent-stochastic-dynamical-systems-2309.03842</loc><lastmod>2024-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-warning-indicators-via-latent-stochastic-dynamical-systems-2309.03842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-warning-indicators-via-latent-stochastic-dynamical-systems-2309.03842"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-based-feature-learning-under-structured-data-2309.03843</loc><lastmod>2023-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-based-feature-learning-under-structured-data-2309.03843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-based-feature-learning-under-structured-data-2309.03843"/></url>
<url><loc>https://scifaro.com/en/abs/mixtures-of-gaussians-are-privately-learnable-with-a-polynomial-number-of-samples-2309.03847</loc><lastmod>2024-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixtures-of-gaussians-are-privately-learnable-with-a-polynomial-number-of-samples-2309.03847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixtures-of-gaussians-are-privately-learnable-with-a-polynomial-number-of-samples-2309.03847"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-rate-of-kernel-regression-in-large-dimensions-2309.04268</loc><lastmod>2024-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-rate-of-kernel-regression-in-large-dimensions-2309.04268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-rate-of-kernel-regression-in-large-dimensions-2309.04268"/></url>
<url><loc>https://scifaro.com/en/abs/actor-critic-learning-algorithms-for-mean-field-control-with-moment-neural-networks-2309.04317</loc><lastmod>2023-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/actor-critic-learning-algorithms-for-mean-field-control-with-moment-neural-networks-2309.04317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/actor-critic-learning-algorithms-for-mean-field-control-with-moment-neural-networks-2309.04317"/></url>
<url><loc>https://scifaro.com/en/abs/postprocessing-of-ensemble-weather-forecasts-using-permutation-invariant-neural-networks-2309.04452</loc><lastmod>2024-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/postprocessing-of-ensemble-weather-forecasts-using-permutation-invariant-neural-networks-2309.04452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/postprocessing-of-ensemble-weather-forecasts-using-permutation-invariant-neural-networks-2309.04452"/></url>
<url><loc>https://scifaro.com/en/abs/perceptual-adjustment-queries-and-an-inverted-measurement-paradigm-for-low-rank-metric-learning-2309.04626</loc><lastmod>2023-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perceptual-adjustment-queries-and-an-inverted-measurement-paradigm-for-low-rank-metric-learning-2309.04626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perceptual-adjustment-queries-and-an-inverted-measurement-paradigm-for-low-rank-metric-learning-2309.04626"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-safety-regions-via-finite-families-of-scalable-classifiers-2309.04627</loc><lastmod>2023-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-safety-regions-via-finite-families-of-scalable-classifiers-2309.04627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-safety-regions-via-finite-families-of-scalable-classifiers-2309.04627"/></url>
<url><loc>https://scifaro.com/en/abs/affine-invariant-ensemble-transform-methods-to-improve-predictive-uncertainty-in-neural-networks-2309.04742</loc><lastmod>2024-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/affine-invariant-ensemble-transform-methods-to-improve-predictive-uncertainty-in-neural-networks-2309.04742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/affine-invariant-ensemble-transform-methods-to-improve-predictive-uncertainty-in-neural-networks-2309.04742"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-granger-causality-using-kernel-ridge-regression-2309.05107</loc><lastmod>2023-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-granger-causality-using-kernel-ridge-regression-2309.05107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-granger-causality-using-kernel-ridge-regression-2309.05107"/></url>
<url><loc>https://scifaro.com/en/abs/learning-energy-based-models-by-cooperative-diffusion-recovery-likelihood-2309.05153</loc><lastmod>2024-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-energy-based-models-by-cooperative-diffusion-recovery-likelihood-2309.05153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-energy-based-models-by-cooperative-diffusion-recovery-likelihood-2309.05153"/></url>
<url><loc>https://scifaro.com/en/abs/comprehensive-analysis-of-synthetic-learning-applied-to-neonatal-brain-mri-segmentation-2309.05306</loc><lastmod>2023-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comprehensive-analysis-of-synthetic-learning-applied-to-neonatal-brain-mri-segmentation-2309.05306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comprehensive-analysis-of-synthetic-learning-applied-to-neonatal-brain-mri-segmentation-2309.05306"/></url>
<url><loc>https://scifaro.com/en/abs/boundary-peeling-outlier-detection-method-using-one-class-peeling-2309.05630</loc><lastmod>2024-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boundary-peeling-outlier-detection-method-using-one-class-peeling-2309.05630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boundary-peeling-outlier-detection-method-using-one-class-peeling-2309.05630"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-quality-of-randomized-approximations-of-tukey-s-depth-2309.05657</loc><lastmod>2025-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-quality-of-randomized-approximations-of-tukey-s-depth-2309.05657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-quality-of-randomized-approximations-of-tukey-s-depth-2309.05657"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-fine-grained-hardness-of-inverting-generative-models-2309.05795</loc><lastmod>2023-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-fine-grained-hardness-of-inverting-generative-models-2309.05795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-fine-grained-hardness-of-inverting-generative-models-2309.05795"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-learning-of-effective-dynamics-for-multiscale-systems-2309.05812</loc><lastmod>2023-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-learning-of-effective-dynamics-for-multiscale-systems-2309.05812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-learning-of-effective-dynamics-for-multiscale-systems-2309.05812"/></url>
<url><loc>https://scifaro.com/en/abs/a-consistent-and-scalable-algorithm-for-best-subset-selection-in-single-index-models-2309.06230</loc><lastmod>2025-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-consistent-and-scalable-algorithm-for-best-subset-selection-in-single-index-models-2309.06230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-consistent-and-scalable-algorithm-for-best-subset-selection-in-single-index-models-2309.06230"/></url>
<url><loc>https://scifaro.com/en/abs/calibration-in-machine-learning-uncertainty-quantification-beyond-consistency-to-target-adaptivity-2309.06240</loc><lastmod>2024-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibration-in-machine-learning-uncertainty-quantification-beyond-consistency-to-target-adaptivity-2309.06240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibration-in-machine-learning-uncertainty-quantification-beyond-consistency-to-target-adaptivity-2309.06240"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-regret-analysis-of-thompson-sampling-using-fractional-posteriors-2309.06349</loc><lastmod>2023-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-regret-analysis-of-thompson-sampling-using-fractional-posteriors-2309.06349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-regret-analysis-of-thompson-sampling-using-fractional-posteriors-2309.06349"/></url>
<url><loc>https://scifaro.com/en/abs/online-infinite-dimensional-regression-learning-linear-operators-2309.06548</loc><lastmod>2024-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-infinite-dimensional-regression-learning-linear-operators-2309.06548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-infinite-dimensional-regression-learning-linear-operators-2309.06548"/></url>
<url><loc>https://scifaro.com/en/abs/a-sequentially-fair-mechanism-for-multiple-sensitive-attributes-2309.06627</loc><lastmod>2024-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sequentially-fair-mechanism-for-multiple-sensitive-attributes-2309.06627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sequentially-fair-mechanism-for-multiple-sensitive-attributes-2309.06627"/></url>
<url><loc>https://scifaro.com/en/abs/effect-of-hyperparameters-on-variable-selection-in-random-forests-2309.06943</loc><lastmod>2025-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effect-of-hyperparameters-on-variable-selection-in-random-forests-2309.06943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effect-of-hyperparameters-on-variable-selection-in-random-forests-2309.06943"/></url>
<url><loc>https://scifaro.com/en/abs/data-augmentation-via-subgroup-mixup-for-improving-fairness-2309.07110</loc><lastmod>2023-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-augmentation-via-subgroup-mixup-for-improving-fairness-2309.07110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-augmentation-via-subgroup-mixup-for-improving-fairness-2309.07110"/></url>
<url><loc>https://scifaro.com/en/abs/sc-mad-mixtures-of-higher-order-networks-for-data-augmentation-2309.07453</loc><lastmod>2023-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sc-mad-mixtures-of-higher-order-networks-for-data-augmentation-2309.07453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sc-mad-mixtures-of-higher-order-networks-for-data-augmentation-2309.07453"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-asymptotics-of-vaes-threshold-of-posterior-collapse-and-dataset-size-dependence-of-rate-distortion-curve-2309.07663</loc><lastmod>2025-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-asymptotics-of-vaes-threshold-of-posterior-collapse-and-dataset-size-dependence-of-rate-distortion-curve-2309.07663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-asymptotics-of-vaes-threshold-of-posterior-collapse-and-dataset-size-dependence-of-rate-distortion-curve-2309.07663"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-analysis-of-online-algorithms-for-vector-valued-kernel-regression-2309.07779</loc><lastmod>2025-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-analysis-of-online-algorithms-for-vector-valued-kernel-regression-2309.07779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-analysis-of-online-algorithms-for-vector-valued-kernel-regression-2309.07779"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-quantification-for-learned-ista-2309.07982</loc><lastmod>2023-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-quantification-for-learned-ista-2309.07982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-quantification-for-learned-ista-2309.07982"/></url>
<url><loc>https://scifaro.com/en/abs/how-many-neurons-do-we-need-a-refined-analysis-for-shallow-networks-trained-with-gradient-descent-2309.08044</loc><lastmod>2023-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-many-neurons-do-we-need-a-refined-analysis-for-shallow-networks-trained-with-gradient-descent-2309.08044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-many-neurons-do-we-need-a-refined-analysis-for-shallow-networks-trained-with-gradient-descent-2309.08044"/></url>
<url><loc>https://scifaro.com/en/abs/topological-node2vec-enhanced-graph-embedding-via-persistent-homology-2309.08241</loc><lastmod>2023-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topological-node2vec-enhanced-graph-embedding-via-persistent-homology-2309.08241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topological-node2vec-enhanced-graph-embedding-via-persistent-homology-2309.08241"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-validity-of-heteroskedastic-conformal-regression-2309.08313</loc><lastmod>2024-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-validity-of-heteroskedastic-conformal-regression-2309.08313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-validity-of-heteroskedastic-conformal-regression-2309.08313"/></url>
<url><loc>https://scifaro.com/en/abs/on-some-limitations-of-data-driven-weather-forecasting-models-2309.08473</loc><lastmod>2023-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-some-limitations-of-data-driven-weather-forecasting-models-2309.08473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-some-limitations-of-data-driven-weather-forecasting-models-2309.08473"/></url>
<url><loc>https://scifaro.com/en/abs/deep-multi-agent-reinforcement-learning-for-decentralized-active-hypothesis-testing-2309.08477</loc><lastmod>2023-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-multi-agent-reinforcement-learning-for-decentralized-active-hypothesis-testing-2309.08477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-multi-agent-reinforcement-learning-for-decentralized-active-hypothesis-testing-2309.08477"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-driven-interactive-design-for-nonlinear-optical-molecules-based-on-group-contribution-method-2309.08570</loc><lastmod>2023-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-driven-interactive-design-for-nonlinear-optical-molecules-based-on-group-contribution-method-2309.08570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-driven-interactive-design-for-nonlinear-optical-molecules-based-on-group-contribution-method-2309.08570"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-high-dimensional-contextual-bandits-an-interpretable-model-for-joint-assortment-pricing-2309.08634</loc><lastmod>2023-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-high-dimensional-contextual-bandits-an-interpretable-model-for-joint-assortment-pricing-2309.08634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-high-dimensional-contextual-bandits-an-interpretable-model-for-joint-assortment-pricing-2309.08634"/></url>
<url><loc>https://scifaro.com/en/abs/price-of-safety-in-linear-best-arm-identification-2309.08709</loc><lastmod>2023-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/price-of-safety-in-linear-best-arm-identification-2309.08709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/price-of-safety-in-linear-best-arm-identification-2309.08709"/></url>
<url><loc>https://scifaro.com/en/abs/fast-approximation-of-the-shapley-values-based-on-order-of-addition-experimental-designs-2309.08923</loc><lastmod>2023-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-approximation-of-the-shapley-values-based-on-order-of-addition-experimental-designs-2309.08923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-approximation-of-the-shapley-values-based-on-order-of-addition-experimental-designs-2309.08923"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-connection-between-riemann-hypothesis-and-a-special-class-of-neural-networks-2309.09171</loc><lastmod>2023-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-connection-between-riemann-hypothesis-and-a-special-class-of-neural-networks-2309.09171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-connection-between-riemann-hypothesis-and-a-special-class-of-neural-networks-2309.09171"/></url>
<url><loc>https://scifaro.com/en/abs/new-bounds-on-the-accuracy-of-majority-voting-for-multi-class-classification-2309.09564</loc><lastmod>2023-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-bounds-on-the-accuracy-of-majority-voting-for-multi-class-classification-2309.09564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-bounds-on-the-accuracy-of-majority-voting-for-multi-class-classification-2309.09564"/></url>
<url><loc>https://scifaro.com/en/abs/neural-collapse-for-unconstrained-feature-model-under-cross-entropy-loss-with-imbalanced-data-2309.09725</loc><lastmod>2023-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-collapse-for-unconstrained-feature-model-under-cross-entropy-loss-with-imbalanced-data-2309.09725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-collapse-for-unconstrained-feature-model-under-cross-entropy-loss-with-imbalanced-data-2309.09725"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-deep-kernel-machines-2309.09814</loc><lastmod>2024-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-deep-kernel-machines-2309.09814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-deep-kernel-machines-2309.09814"/></url>
<url><loc>https://scifaro.com/en/abs/error-reduction-from-stacked-regressions-2309.09880</loc><lastmod>2024-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-reduction-from-stacked-regressions-2309.09880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-reduction-from-stacked-regressions-2309.09880"/></url>
<url><loc>https://scifaro.com/en/abs/learning-nonparametric-high-dimensional-generative-models-the-empirical-beta-copula-autoencoder-2309.09916</loc><lastmod>2023-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-nonparametric-high-dimensional-generative-models-the-empirical-beta-copula-autoencoder-2309.09916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-nonparametric-high-dimensional-generative-models-the-empirical-beta-copula-autoencoder-2309.09916"/></url>
<url><loc>https://scifaro.com/en/abs/a-unifying-perspective-on-non-stationary-kernels-for-deeper-gaussian-processes-2309.10068</loc><lastmod>2024-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unifying-perspective-on-non-stationary-kernels-for-deeper-gaussian-processes-2309.10068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unifying-perspective-on-non-stationary-kernels-for-deeper-gaussian-processes-2309.10068"/></url>
<url><loc>https://scifaro.com/en/abs/the-kernel-density-integral-transformation-2309.10194</loc><lastmod>2023-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-kernel-density-integral-transformation-2309.10194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-kernel-density-integral-transformation-2309.10194"/></url>
<url><loc>https://scifaro.com/en/abs/prominent-roles-of-conditionally-invariant-components-in-domain-adaptation-theory-and-algorithms-2309.10301</loc><lastmod>2025-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prominent-roles-of-conditionally-invariant-components-in-domain-adaptation-theory-and-algorithms-2309.10301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prominent-roles-of-conditionally-invariant-components-in-domain-adaptation-theory-and-algorithms-2309.10301"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-state-space-based-learning-for-sequential-data-prediction-with-joint-optimization-2309.10553</loc><lastmod>2023-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-state-space-based-learning-for-sequential-data-prediction-with-joint-optimization-2309.10553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-state-space-based-learning-for-sequential-data-prediction-with-joint-optimization-2309.10553"/></url>
<url><loc>https://scifaro.com/en/abs/posterior-contraction-rates-for-mat-ern-gaussian-processes-on-riemannian-manifolds-2309.10918</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/posterior-contraction-rates-for-mat-ern-gaussian-processes-on-riemannian-manifolds-2309.10918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/posterior-contraction-rates-for-mat-ern-gaussian-processes-on-riemannian-manifolds-2309.10918"/></url>
<url><loc>https://scifaro.com/en/abs/dppack-an-r-package-for-differentially-private-statistical-analysis-and-machine-learning-2309.10965</loc><lastmod>2023-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dppack-an-r-package-for-differentially-private-statistical-analysis-and-machine-learning-2309.10965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dppack-an-r-package-for-differentially-private-statistical-analysis-and-machine-learning-2309.10965"/></url>
<url><loc>https://scifaro.com/en/abs/extreme-scenario-selection-in-day-ahead-power-grid-operational-planning-2309.11067</loc><lastmod>2025-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extreme-scenario-selection-in-day-ahead-power-grid-operational-planning-2309.11067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extreme-scenario-selection-in-day-ahead-power-grid-operational-planning-2309.11067"/></url>
<url><loc>https://scifaro.com/en/abs/ano-sups-multi-size-anomaly-detection-for-manufactured-products-by-identifying-suspected-patches-2309.11120</loc><lastmod>2025-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ano-sups-multi-size-anomaly-detection-for-manufactured-products-by-identifying-suspected-patches-2309.11120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ano-sups-multi-size-anomaly-detection-for-manufactured-products-by-identifying-suspected-patches-2309.11120"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-and-volume-based-scoring-for-isolation-forests-2309.11450</loc><lastmod>2023-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-and-volume-based-scoring-for-isolation-forests-2309.11450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-and-volume-based-scoring-for-isolation-forests-2309.11450"/></url>
<url><loc>https://scifaro.com/en/abs/quasi-monte-carlo-for-3d-sliced-wasserstein-2309.11713</loc><lastmod>2024-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quasi-monte-carlo-for-3d-sliced-wasserstein-2309.11713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quasi-monte-carlo-for-3d-sliced-wasserstein-2309.11713"/></url>
<url><loc>https://scifaro.com/en/abs/activation-compression-of-graph-neural-networks-using-block-wise-quantization-with-improved-variance-minimization-2309.11856</loc><lastmod>2024-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/activation-compression-of-graph-neural-networks-using-block-wise-quantization-with-improved-variance-minimization-2309.11856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/activation-compression-of-graph-neural-networks-using-block-wise-quantization-with-improved-variance-minimization-2309.11856"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-sparsification-for-deep-neural-networks-with-bayesian-model-reduction-2309.12095</loc><lastmod>2024-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-sparsification-for-deep-neural-networks-with-bayesian-model-reduction-2309.12095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-sparsification-for-deep-neural-networks-with-bayesian-model-reduction-2309.12095"/></url>
<url><loc>https://scifaro.com/en/abs/a-convex-framework-for-confounding-robust-inference-2309.12450</loc><lastmod>2026-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convex-framework-for-confounding-robust-inference-2309.12450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convex-framework-for-confounding-robust-inference-2309.12450"/></url>
<url><loc>https://scifaro.com/en/abs/multiply-robust-federated-estimation-of-targeted-average-treatment-effects-2309.12600</loc><lastmod>2023-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiply-robust-federated-estimation-of-targeted-average-treatment-effects-2309.12600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiply-robust-federated-estimation-of-targeted-average-treatment-effects-2309.12600"/></url>
<url><loc>https://scifaro.com/en/abs/distributional-shift-aware-off-policy-interval-estimation-a-unified-error-quantification-framework-2309.13278</loc><lastmod>2023-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributional-shift-aware-off-policy-interval-estimation-a-unified-error-quantification-framework-2309.13278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributional-shift-aware-off-policy-interval-estimation-a-unified-error-quantification-framework-2309.13278"/></url>
<url><loc>https://scifaro.com/en/abs/a-model-agnostic-graph-neural-network-for-integrating-local-and-global-information-2309.13459</loc><lastmod>2024-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-model-agnostic-graph-neural-network-for-integrating-local-and-global-information-2309.13459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-model-agnostic-graph-neural-network-for-integrating-local-and-global-information-2309.13459"/></url>
<url><loc>https://scifaro.com/en/abs/ca-pca-manifold-dimension-estimation-adapted-for-curvature-2309.13478</loc><lastmod>2024-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ca-pca-manifold-dimension-estimation-adapted-for-curvature-2309.13478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ca-pca-manifold-dimension-estimation-adapted-for-curvature-2309.13478"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-prediction-and-analysis-of-uk-road-traffic-accident-severity-using-ai-integration-of-machine-learning-econometric-techniques-and-time-series-forecasting-in-public-health-research-2309.13483</loc><lastmod>2023-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-prediction-and-analysis-of-uk-road-traffic-accident-severity-using-ai-integration-of-machine-learning-econometric-techniques-and-time-series-forecasting-in-public-health-research-2309.13483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-prediction-and-analysis-of-uk-road-traffic-accident-severity-using-ai-integration-of-machine-learning-econometric-techniques-and-time-series-forecasting-in-public-health-research-2309.13483"/></url>
<url><loc>https://scifaro.com/en/abs/towards-tuning-free-minimum-volume-nonnegative-matrix-factorization-2309.13733</loc><lastmod>2023-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-tuning-free-minimum-volume-nonnegative-matrix-factorization-2309.13733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-tuning-free-minimum-volume-nonnegative-matrix-factorization-2309.13733"/></url>
<url><loc>https://scifaro.com/en/abs/nsotree-neural-survival-oblique-tree-2309.13825</loc><lastmod>2023-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nsotree-neural-survival-oblique-tree-2309.13825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nsotree-neural-survival-oblique-tree-2309.13825"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-perspective-of-top-k-sparse-softmax-gating-mixture-of-experts-2309.13850</loc><lastmod>2024-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-perspective-of-top-k-sparse-softmax-gating-mixture-of-experts-2309.13850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-perspective-of-top-k-sparse-softmax-gating-mixture-of-experts-2309.13850"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-parameter-optimization-of-gaussian-pmdags-2309.14073</loc><lastmod>2025-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-parameter-optimization-of-gaussian-pmdags-2309.14073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-parameter-optimization-of-gaussian-pmdags-2309.14073"/></url>
<url><loc>https://scifaro.com/en/abs/improved-algorithms-for-stochastic-linear-bandits-using-tail-bounds-for-martingale-mixtures-2309.14298</loc><lastmod>2024-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-algorithms-for-stochastic-linear-bandits-using-tail-bounds-for-martingale-mixtures-2309.14298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-algorithms-for-stochastic-linear-bandits-using-tail-bounds-for-martingale-mixtures-2309.14298"/></url>
<url><loc>https://scifaro.com/en/abs/cluster-based-method-for-eavesdropping-identification-and-localization-in-optical-links-2309.14541</loc><lastmod>2023-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cluster-based-method-for-eavesdropping-identification-and-localization-in-optical-links-2309.14541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cluster-based-method-for-eavesdropping-identification-and-localization-in-optical-links-2309.14541"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-statistical-theory-of-data-selection-under-weak-supervision-2309.14563</loc><lastmod>2023-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-statistical-theory-of-data-selection-under-weak-supervision-2309.14563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-statistical-theory-of-data-selection-under-weak-supervision-2309.14563"/></url>
<url><loc>https://scifaro.com/en/abs/reparameterized-variational-rejection-sampling-2309.14612</loc><lastmod>2023-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reparameterized-variational-rejection-sampling-2309.14612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reparameterized-variational-rejection-sampling-2309.14612"/></url>
<url><loc>https://scifaro.com/en/abs/on-excess-risk-convergence-rates-of-neural-network-classifiers-2309.15075</loc><lastmod>2023-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-excess-risk-convergence-rates-of-neural-network-classifiers-2309.15075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-excess-risk-convergence-rates-of-neural-network-classifiers-2309.15075"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-and-few-shot-learning-in-virtual-flow-metering-2309.15828</loc><lastmod>2025-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-and-few-shot-learning-in-virtual-flow-metering-2309.15828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-and-few-shot-learning-in-virtual-flow-metering-2309.15828"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-cram-er-rao-bound-estimation-with-score-based-models-2309.16076</loc><lastmod>2024-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-cram-er-rao-bound-estimation-with-score-based-models-2309.16076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-cram-er-rao-bound-estimation-with-score-based-models-2309.16076"/></url>
<url><loc>https://scifaro.com/en/abs/stackelberg-batch-policy-learning-2309.16188</loc><lastmod>2023-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stackelberg-batch-policy-learning-2309.16188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stackelberg-batch-policy-learning-2309.16188"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-paired-sample-hypothesis-testing-for-high-dimensional-data-2309.16274</loc><lastmod>2023-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-paired-sample-hypothesis-testing-for-high-dimensional-data-2309.16274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-paired-sample-hypothesis-testing-for-high-dimensional-data-2309.16274"/></url>
<url><loc>https://scifaro.com/en/abs/a-primer-on-bayesian-neural-networks-review-and-debates-2309.16314</loc><lastmod>2023-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-primer-on-bayesian-neural-networks-review-and-debates-2309.16314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-primer-on-bayesian-neural-networks-review-and-debates-2309.16314"/></url>
<url><loc>https://scifaro.com/en/abs/constructing-synthetic-treatment-groups-without-the-mean-exchangeability-assumption-2309.16409</loc><lastmod>2023-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constructing-synthetic-treatment-groups-without-the-mean-exchangeability-assumption-2309.16409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constructing-synthetic-treatment-groups-without-the-mean-exchangeability-assumption-2309.16409"/></url>
<url><loc>https://scifaro.com/en/abs/selective-nonparametric-regression-via-testing-2309.16412</loc><lastmod>2023-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selective-nonparametric-regression-via-testing-2309.16412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selective-nonparametric-regression-via-testing-2309.16412"/></url>
<url><loc>https://scifaro.com/en/abs/a-parsimonious-computationally-efficient-machine-learning-method-for-spatial-regression-2309.16448</loc><lastmod>2025-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-parsimonious-computationally-efficient-machine-learning-method-for-spatial-regression-2309.16448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-parsimonious-computationally-efficient-machine-learning-method-for-spatial-regression-2309.16448"/></url>
<url><loc>https://scifaro.com/en/abs/generating-personalized-insulin-treatments-strategies-with-deep-conditional-generative-time-series-models-2309.16521</loc><lastmod>2023-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-personalized-insulin-treatments-strategies-with-deep-conditional-generative-time-series-models-2309.16521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-personalized-insulin-treatments-strategies-with-deep-conditional-generative-time-series-models-2309.16521"/></url>
<url><loc>https://scifaro.com/en/abs/crimed-lower-and-upper-bounds-on-regret-for-bandits-with-unbounded-stochastic-corruption-2309.16563</loc><lastmod>2023-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crimed-lower-and-upper-bounds-on-regret-for-bandits-with-unbounded-stochastic-corruption-2309.16563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crimed-lower-and-upper-bounds-on-regret-for-bandits-with-unbounded-stochastic-corruption-2309.16563"/></url>
<url><loc>https://scifaro.com/en/abs/overcoming-the-barrier-of-orbital-free-density-functional-theory-for-molecular-systems-using-deep-learning-2309.16578</loc><lastmod>2024-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overcoming-the-barrier-of-orbital-free-density-functional-theory-for-molecular-systems-using-deep-learning-2309.16578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overcoming-the-barrier-of-orbital-free-density-functional-theory-for-molecular-systems-using-deep-learning-2309.16578"/></url>
<url><loc>https://scifaro.com/en/abs/cross-prediction-powered-inference-2309.16598</loc><lastmod>2024-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-prediction-powered-inference-2309.16598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-prediction-powered-inference-2309.16598"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-edge-features-in-graphs-with-fused-network-gromov-wasserstein-distance-2309.16604</loc><lastmod>2023-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-edge-features-in-graphs-with-fused-network-gromov-wasserstein-distance-2309.16604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-edge-features-in-graphs-with-fused-network-gromov-wasserstein-distance-2309.16604"/></url>
<url><loc>https://scifaro.com/en/abs/depthwise-hyperparameter-transfer-in-residual-networks-dynamics-and-scaling-limit-2309.16620</loc><lastmod>2023-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/depthwise-hyperparameter-transfer-in-residual-networks-dynamics-and-scaling-limit-2309.16620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/depthwise-hyperparameter-transfer-in-residual-networks-dynamics-and-scaling-limit-2309.16620"/></url>
<url><loc>https://scifaro.com/en/abs/improved-generalization-bounds-for-transductive-learning-by-transductive-local-complexity-and-its-applications-2309.16858</loc><lastmod>2026-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-generalization-bounds-for-transductive-learning-by-transductive-local-complexity-and-its-applications-2309.16858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-generalization-bounds-for-transductive-learning-by-transductive-local-complexity-and-its-applications-2309.16858"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-tides-and-time-machine-learning-triumph-in-water-quality-2309.16951</loc><lastmod>2023-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-tides-and-time-machine-learning-triumph-in-water-quality-2309.16951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-tides-and-time-machine-learning-triumph-in-water-quality-2309.16951"/></url>
<url><loc>https://scifaro.com/en/abs/controlling-continuous-relaxation-for-combinatorial-optimization-2309.16965</loc><lastmod>2024-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlling-continuous-relaxation-for-combinatorial-optimization-2309.16965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlling-continuous-relaxation-for-combinatorial-optimization-2309.16965"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-and-inference-in-distributional-reinforcement-learning-2309.17262</loc><lastmod>2025-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-and-inference-in-distributional-reinforcement-learning-2309.17262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-and-inference-in-distributional-reinforcement-learning-2309.17262"/></url>
<url><loc>https://scifaro.com/en/abs/in-search-of-dispersed-memories-generative-diffusion-models-are-associative-memory-networks-2309.17290</loc><lastmod>2023-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/in-search-of-dispersed-memories-generative-diffusion-models-are-associative-memory-networks-2309.17290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/in-search-of-dispersed-memories-generative-diffusion-models-are-associative-memory-networks-2309.17290"/></url>
<url><loc>https://scifaro.com/en/abs/robust-stochastic-optimization-via-gradient-quantile-clipping-2309.17316</loc><lastmod>2024-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-stochastic-optimization-via-gradient-quantile-clipping-2309.17316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-stochastic-optimization-via-gradient-quantile-clipping-2309.17316"/></url>
<url><loc>https://scifaro.com/en/abs/out-of-domain-unlabeled-data-improves-generalization-2310.00027</loc><lastmod>2024-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/out-of-domain-unlabeled-data-improves-generalization-2310.00027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/out-of-domain-unlabeled-data-improves-generalization-2310.00027"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-and-uncertainty-enhanced-sequential-sampling-for-global-fit-2310.00110</loc><lastmod>2023-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-and-uncertainty-enhanced-sequential-sampling-for-global-fit-2310.00110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-and-uncertainty-enhanced-sequential-sampling-for-global-fit-2310.00110"/></url>
<url><loc>https://scifaro.com/en/abs/memorization-with-neural-nets-going-beyond-the-worst-case-2310.00327</loc><lastmod>2024-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memorization-with-neural-nets-going-beyond-the-worst-case-2310.00327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memorization-with-neural-nets-going-beyond-the-worst-case-2310.00327"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-error-property-of-infogan-for-two-layer-neural-network-2310.00443</loc><lastmod>2025-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-error-property-of-infogan-for-two-layer-neural-network-2310.00443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-error-property-of-infogan-for-two-layer-neural-network-2310.00443"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-exploration-with-best-challenger-rule-in-best-arm-identification-2310.00539</loc><lastmod>2025-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-exploration-with-best-challenger-rule-in-best-arm-identification-2310.00539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-exploration-with-best-challenger-rule-in-best-arm-identification-2310.00539"/></url>
<url><loc>https://scifaro.com/en/abs/robust-nonparametric-hypothesis-testing-to-understand-variability-in-training-neural-networks-2310.00541</loc><lastmod>2023-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-nonparametric-hypothesis-testing-to-understand-variability-in-training-neural-networks-2310.00541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-nonparametric-hypothesis-testing-to-understand-variability-in-training-neural-networks-2310.00541"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-choice-multi-armed-bandits-2310.00562</loc><lastmod>2023-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-choice-multi-armed-bandits-2310.00562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-choice-multi-armed-bandits-2310.00562"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-make-adherence-aware-advice-2310.00817</loc><lastmod>2024-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-make-adherence-aware-advice-2310.00817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-make-adherence-aware-advice-2310.00817"/></url>
<url><loc>https://scifaro.com/en/abs/the-fisher-rao-geometry-of-ces-distributions-2310.01032</loc><lastmod>2023-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-fisher-rao-geometry-of-ces-distributions-2310.01032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-fisher-rao-geometry-of-ces-distributions-2310.01032"/></url>
<url><loc>https://scifaro.com/en/abs/if-there-is-no-underfitting-there-is-no-cold-posterior-effect-2310.01189</loc><lastmod>2023-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/if-there-is-no-underfitting-there-is-no-cold-posterior-effect-2310.01189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/if-there-is-no-underfitting-there-is-no-cold-posterior-effect-2310.01189"/></url>
<url><loc>https://scifaro.com/en/abs/unified-uncertainty-calibration-2310.01202</loc><lastmod>2024-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unified-uncertainty-calibration-2310.01202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unified-uncertainty-calibration-2310.01202"/></url>
<url><loc>https://scifaro.com/en/abs/a-path-norm-toolkit-for-modern-networks-consequences-promises-and-challenges-2310.01225</loc><lastmod>2024-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-path-norm-toolkit-for-modern-networks-consequences-promises-and-challenges-2310.01225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-path-norm-toolkit-for-modern-networks-consequences-promises-and-challenges-2310.01225"/></url>
<url><loc>https://scifaro.com/en/abs/mirror-diffusion-models-for-constrained-and-watermarked-generation-2310.01236</loc><lastmod>2024-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mirror-diffusion-models-for-constrained-and-watermarked-generation-2310.01236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mirror-diffusion-models-for-constrained-and-watermarked-generation-2310.01236"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-estimator-for-linear-regression-with-shuffled-labels-2310.01326</loc><lastmod>2023-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-estimator-for-linear-regression-with-shuffled-labels-2310.01326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-estimator-for-linear-regression-with-shuffled-labels-2310.01326"/></url>
<url><loc>https://scifaro.com/en/abs/an-investigation-of-representation-and-allocation-harms-in-contrastive-learning-2310.01583</loc><lastmod>2023-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-investigation-of-representation-and-allocation-harms-in-contrastive-learning-2310.01583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-investigation-of-representation-and-allocation-harms-in-contrastive-learning-2310.01583"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-contextual-bandits-go-kernelized-2310.01609</loc><lastmod>2023-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-contextual-bandits-go-kernelized-2310.01609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-contextual-bandits-go-kernelized-2310.01609"/></url>
<url><loc>https://scifaro.com/en/abs/commutative-width-and-depth-scaling-in-deep-neural-networks-2310.01683</loc><lastmod>2023-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/commutative-width-and-depth-scaling-in-deep-neural-networks-2310.01683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/commutative-width-and-depth-scaling-in-deep-neural-networks-2310.01683"/></url>
<url><loc>https://scifaro.com/en/abs/improved-algorithms-for-adversarial-bandits-with-unbounded-losses-2310.01756</loc><lastmod>2023-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-algorithms-for-adversarial-bandits-with-unbounded-losses-2310.01756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-algorithms-for-adversarial-bandits-with-unbounded-losses-2310.01756"/></url>
<url><loc>https://scifaro.com/en/abs/simulation-based-inference-with-the-generalized-kullback-leibler-divergence-2310.01808</loc><lastmod>2023-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulation-based-inference-with-the-generalized-kullback-leibler-divergence-2310.01808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulation-based-inference-with-the-generalized-kullback-leibler-divergence-2310.01808"/></url>
<url><loc>https://scifaro.com/en/abs/score-based-data-assimilation-for-a-two-layer-quasi-geostrophic-model-2310.01853</loc><lastmod>2023-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/score-based-data-assimilation-for-a-two-layer-quasi-geostrophic-model-2310.01853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/score-based-data-assimilation-for-a-two-layer-quasi-geostrophic-model-2310.01853"/></url>
<url><loc>https://scifaro.com/en/abs/variational-gaussian-approximation-of-the-kushner-optimal-filter-2310.01859</loc><lastmod>2023-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-gaussian-approximation-of-the-kushner-optimal-filter-2310.01859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-gaussian-approximation-of-the-kushner-optimal-filter-2310.01859"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-schr-odinger-bridge-matching-2310.02233</loc><lastmod>2024-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-schr-odinger-bridge-matching-2310.02233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-schr-odinger-bridge-matching-2310.02233"/></url>
<url><loc>https://scifaro.com/en/abs/online-estimation-and-inference-for-robust-policy-evaluation-in-reinforcement-learning-2310.02581</loc><lastmod>2025-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-estimation-and-inference-for-robust-policy-evaluation-in-reinforcement-learning-2310.02581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-estimation-and-inference-for-robust-policy-evaluation-in-reinforcement-learning-2310.02581"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-block-term-decomposition-for-the-modelling-of-higher-order-arrays-2310.02694</loc><lastmod>2023-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-block-term-decomposition-for-the-modelling-of-higher-order-arrays-2310.02694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-block-term-decomposition-for-the-modelling-of-higher-order-arrays-2310.02694"/></url>
<url><loc>https://scifaro.com/en/abs/functional-trustworthiness-of-ai-systems-by-statistically-valid-testing-2310.02727</loc><lastmod>2023-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-trustworthiness-of-ai-systems-by-statistically-valid-testing-2310.02727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-trustworthiness-of-ai-systems-by-statistically-valid-testing-2310.02727"/></url>
<url><loc>https://scifaro.com/en/abs/conformal-predictions-for-longitudinal-data-2310.02863</loc><lastmod>2023-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformal-predictions-for-longitudinal-data-2310.02863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformal-predictions-for-longitudinal-data-2310.02863"/></url>
<url><loc>https://scifaro.com/en/abs/stationarity-without-mean-reversion-in-improper-gaussian-processes-2310.02877</loc><lastmod>2024-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stationarity-without-mean-reversion-in-improper-gaussian-processes-2310.02877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stationarity-without-mean-reversion-in-improper-gaussian-processes-2310.02877"/></url>
<url><loc>https://scifaro.com/en/abs/hoeffding-s-inequality-for-markov-chains-under-generalized-concentrability-condition-2310.02941</loc><lastmod>2023-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hoeffding-s-inequality-for-markov-chains-under-generalized-concentrability-condition-2310.02941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hoeffding-s-inequality-for-markov-chains-under-generalized-concentrability-condition-2310.02941"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-laws-for-associative-memories-2310.02984</loc><lastmod>2024-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-laws-for-associative-memories-2310.02984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-laws-for-associative-memories-2310.02984"/></url>
<url><loc>https://scifaro.com/en/abs/xval-a-continuous-numerical-tokenization-for-scientific-language-models-2310.02989</loc><lastmod>2024-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/xval-a-continuous-numerical-tokenization-for-scientific-language-models-2310.02989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/xval-a-continuous-numerical-tokenization-for-scientific-language-models-2310.02989"/></url>
<url><loc>https://scifaro.com/en/abs/posterior-sampling-based-on-gradient-flows-of-the-mmd-with-negative-distance-kernel-2310.03054</loc><lastmod>2024-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/posterior-sampling-based-on-gradient-flows-of-the-mmd-with-negative-distance-kernel-2310.03054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/posterior-sampling-based-on-gradient-flows-of-the-mmd-with-negative-distance-kernel-2310.03054"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-model-based-trees-as-interpretable-surrogate-models-for-model-distillation-2310.03112</loc><lastmod>2023-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-model-based-trees-as-interpretable-surrogate-models-for-model-distillation-2310.03112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-model-based-trees-as-interpretable-surrogate-models-for-model-distillation-2310.03112"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-deep-learning-for-time-series-data-theory-and-applications-2310.03243</loc><lastmod>2023-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-deep-learning-for-time-series-data-theory-and-applications-2310.03243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-deep-learning-for-time-series-data-theory-and-applications-2310.03243"/></url>
<url><loc>https://scifaro.com/en/abs/a-latent-variable-approach-for-non-hierarchical-multi-fidelity-adaptive-sampling-2310.03298</loc><lastmod>2024-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-latent-variable-approach-for-non-hierarchical-multi-fidelity-adaptive-sampling-2310.03298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-latent-variable-approach-for-non-hierarchical-multi-fidelity-adaptive-sampling-2310.03298"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-for-garch-family-models-2310.03435</loc><lastmod>2023-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-for-garch-family-models-2310.03435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-for-garch-family-models-2310.03435"/></url>
<url><loc>https://scifaro.com/en/abs/plug-and-play-posterior-sampling-under-mismatched-measurement-and-prior-models-2310.03546</loc><lastmod>2025-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/plug-and-play-posterior-sampling-under-mismatched-measurement-and-prior-models-2310.03546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/plug-and-play-posterior-sampling-under-mismatched-measurement-and-prior-models-2310.03546"/></url>
<url><loc>https://scifaro.com/en/abs/stable-training-of-probabilistic-models-using-the-leave-one-out-maximum-log-likelihood-objective-2310.03556</loc><lastmod>2024-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-training-of-probabilistic-models-using-the-leave-one-out-maximum-log-likelihood-objective-2310.03556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-training-of-probabilistic-models-using-the-leave-one-out-maximum-log-likelihood-objective-2310.03556"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-learning-a-flow-based-generative-model-from-limited-sample-complexity-2310.03575</loc><lastmod>2024-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-learning-a-flow-based-generative-model-from-limited-sample-complexity-2310.03575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-learning-a-flow-based-generative-model-from-limited-sample-complexity-2310.03575"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-via-gradient-flows-in-the-space-of-probability-measures-2310.03597</loc><lastmod>2024-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-via-gradient-flows-in-the-space-of-probability-measures-2310.03597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-via-gradient-flows-in-the-space-of-probability-measures-2310.03597"/></url>
<url><loc>https://scifaro.com/en/abs/function-space-optimality-of-neural-architectures-with-multivariate-nonlinearities-2310.03696</loc><lastmod>2025-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/function-space-optimality-of-neural-architectures-with-multivariate-nonlinearities-2310.03696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/function-space-optimality-of-neural-architectures-with-multivariate-nonlinearities-2310.03696"/></url>
<url><loc>https://scifaro.com/en/abs/grokking-as-a-first-order-phase-transition-in-two-layer-networks-2310.03789</loc><lastmod>2024-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grokking-as-a-first-order-phase-transition-in-two-layer-networks-2310.03789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grokking-as-a-first-order-phase-transition-in-two-layer-networks-2310.03789"/></url>
<url><loc>https://scifaro.com/en/abs/provable-benefits-of-annealing-for-estimating-normalizing-constants-importance-sampling-noise-contrastive-estimation-and-beyond-2310.03902</loc><lastmod>2023-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-benefits-of-annealing-for-estimating-normalizing-constants-importance-sampling-noise-contrastive-estimation-and-beyond-2310.03902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-benefits-of-annealing-for-estimating-normalizing-constants-importance-sampling-noise-contrastive-estimation-and-beyond-2310.03902"/></url>
<url><loc>https://scifaro.com/en/abs/on-wasserstein-distances-for-affine-transformations-of-random-vectors-2310.03945</loc><lastmod>2024-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-wasserstein-distances-for-affine-transformations-of-random-vectors-2310.03945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-wasserstein-distances-for-affine-transformations-of-random-vectors-2310.03945"/></url>
<url><loc>https://scifaro.com/en/abs/fair-feature-importance-scores-for-interpreting-tree-based-methods-and-surrogates-2310.04352</loc><lastmod>2023-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-feature-importance-scores-for-interpreting-tree-based-methods-and-surrogates-2310.04352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-feature-importance-scores-for-interpreting-tree-based-methods-and-surrogates-2310.04352"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-transformations-in-probabilistic-circuits-2310.04354</loc><lastmod>2023-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-transformations-in-probabilistic-circuits-2310.04354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-transformations-in-probabilistic-circuits-2310.04354"/></url>
<url><loc>https://scifaro.com/en/abs/a-marketplace-price-anomaly-detection-system-at-scale-2310.04367</loc><lastmod>2023-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-marketplace-price-anomaly-detection-system-at-scale-2310.04367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-marketplace-price-anomaly-detection-system-at-scale-2310.04367"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bound-for-diffusion-models-using-random-features-2310.04417</loc><lastmod>2025-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bound-for-diffusion-models-using-random-features-2310.04417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bound-for-diffusion-models-using-random-features-2310.04417"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneous-dimensionality-reduction-a-data-efficient-approach-for-multimodal-representations-learning-2310.04458</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneous-dimensionality-reduction-a-data-efficient-approach-for-multimodal-representations-learning-2310.04458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneous-dimensionality-reduction-a-data-efficient-approach-for-multimodal-representations-learning-2310.04458"/></url>
<url><loc>https://scifaro.com/en/abs/robust-transfer-learning-with-unreliable-source-data-2310.04606</loc><lastmod>2025-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-transfer-learning-with-unreliable-source-data-2310.04606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-transfer-learning-with-unreliable-source-data-2310.04606"/></url>
<url><loc>https://scifaro.com/en/abs/repelling-random-walks-2310.04854</loc><lastmod>2024-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/repelling-random-walks-2310.04854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/repelling-random-walks-2310.04854"/></url>
<url><loc>https://scifaro.com/en/abs/general-graph-random-features-2310.04859</loc><lastmod>2024-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/general-graph-random-features-2310.04859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/general-graph-random-features-2310.04859"/></url>
<url><loc>https://scifaro.com/en/abs/robust-matrix-completion-via-novel-m-estimator-functions-2310.04953</loc><lastmod>2023-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-matrix-completion-via-novel-m-estimator-functions-2310.04953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-matrix-completion-via-novel-m-estimator-functions-2310.04953"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-three-way-data-with-outliers-2310.05288</loc><lastmod>2025-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-three-way-data-with-outliers-2310.05288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-three-way-data-with-outliers-2310.05288"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-interpretability-and-generalizability-in-extended-isolation-forests-2310.05468</loc><lastmod>2024-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-interpretability-and-generalizability-in-extended-isolation-forests-2310.05468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-interpretability-and-generalizability-in-extended-isolation-forests-2310.05468"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-transformation-approach-for-uplift-modeling-with-binary-outcome-2310.05549</loc><lastmod>2025-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-transformation-approach-for-uplift-modeling-with-binary-outcome-2310.05549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-transformation-approach-for-uplift-modeling-with-binary-outcome-2310.05549"/></url>
<url><loc>https://scifaro.com/en/abs/causal-structure-learning-with-momentum-sampling-distributions-over-markov-equivalence-classes-of-dags-2310.05655</loc><lastmod>2024-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-structure-learning-with-momentum-sampling-distributions-over-markov-equivalence-classes-of-dags-2310.05655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-structure-learning-with-momentum-sampling-distributions-over-markov-equivalence-classes-of-dags-2310.05655"/></url>
<url><loc>https://scifaro.com/en/abs/post-hoc-bias-scoring-is-optimal-for-fair-classification-2310.05725</loc><lastmod>2024-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/post-hoc-bias-scoring-is-optimal-for-fair-classification-2310.05725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/post-hoc-bias-scoring-is-optimal-for-fair-classification-2310.05725"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-shape-distances-on-neural-representations-with-limited-samples-2310.05742</loc><lastmod>2023-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-shape-distances-on-neural-representations-with-limited-samples-2310.05742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-shape-distances-on-neural-representations-with-limited-samples-2310.05742"/></url>
<url><loc>https://scifaro.com/en/abs/boosted-control-functions-distribution-generalization-and-invariance-in-confounded-models-2310.05805</loc><lastmod>2025-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosted-control-functions-distribution-generalization-and-invariance-in-confounded-models-2310.05805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosted-control-functions-distribution-generalization-and-invariance-in-confounded-models-2310.05805"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalization-bound-of-deep-neural-networks-for-dependent-data-2310.05892</loc><lastmod>2023-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalization-bound-of-deep-neural-networks-for-dependent-data-2310.05892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalization-bound-of-deep-neural-networks-for-dependent-data-2310.05892"/></url>
<url><loc>https://scifaro.com/en/abs/conformal-decision-theory-safe-autonomous-decisions-from-imperfect-predictions-2310.05921</loc><lastmod>2024-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformal-decision-theory-safe-autonomous-decisions-from-imperfect-predictions-2310.05921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformal-decision-theory-safe-autonomous-decisions-from-imperfect-predictions-2310.05921"/></url>
<url><loc>https://scifaro.com/en/abs/cost-sensitive-probabilistic-predictions-for-support-vector-machines-2310.05997</loc><lastmod>2023-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-sensitive-probabilistic-predictions-for-support-vector-machines-2310.05997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-sensitive-probabilistic-predictions-for-support-vector-machines-2310.05997"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-exploration-is-no-harder-than-thompson-sampling-2310.06069</loc><lastmod>2023-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-exploration-is-no-harder-than-thompson-sampling-2310.06069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-exploration-is-no-harder-than-thompson-sampling-2310.06069"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-uncertainty-in-deep-learning-classification-with-noise-in-discrete-inputs-for-risk-based-decision-making-2310.06105</loc><lastmod>2023-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-uncertainty-in-deep-learning-classification-with-noise-in-discrete-inputs-for-risk-based-decision-making-2310.06105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-uncertainty-in-deep-learning-classification-with-noise-in-discrete-inputs-for-risk-based-decision-making-2310.06105"/></url>
<url><loc>https://scifaro.com/en/abs/grokking-as-the-transition-from-lazy-to-rich-training-dynamics-2310.06110</loc><lastmod>2024-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grokking-as-the-transition-from-lazy-to-rich-training-dynamics-2310.06110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grokking-as-the-transition-from-lazy-to-rich-training-dynamics-2310.06110"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-framework-for-discovering-interpretable-lagrangian-of-dynamical-systems-from-data-2310.06241</loc><lastmod>2023-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-framework-for-discovering-interpretable-lagrangian-of-dynamical-systems-from-data-2310.06241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-framework-for-discovering-interpretable-lagrangian-of-dynamical-systems-from-data-2310.06241"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-a-tutorial-2310.06251</loc><lastmod>2023-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-a-tutorial-2310.06251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-a-tutorial-2310.06251"/></url>
<url><loc>https://scifaro.com/en/abs/disk-failure-prediction-based-on-multi-layer-domain-adaptive-learning-2310.06534</loc><lastmod>2023-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disk-failure-prediction-based-on-multi-layer-domain-adaptive-learning-2310.06534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disk-failure-prediction-based-on-multi-layer-domain-adaptive-learning-2310.06534"/></url>
<url><loc>https://scifaro.com/en/abs/data-level-hybrid-strategy-selection-for-disk-fault-prediction-model-based-on-multivariate-gan-2310.06537</loc><lastmod>2023-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-level-hybrid-strategy-selection-for-disk-fault-prediction-model-based-on-multivariate-gan-2310.06537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-level-hybrid-strategy-selection-for-disk-fault-prediction-model-based-on-multivariate-gan-2310.06537"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-properties-and-privacy-guarantees-of-an-original-distance-based-fully-synthetic-data-generation-method-2310.06571</loc><lastmod>2023-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-properties-and-privacy-guarantees-of-an-original-distance-based-fully-synthetic-data-generation-method-2310.06571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-properties-and-privacy-guarantees-of-an-original-distance-based-fully-synthetic-data-generation-method-2310.06571"/></url>
<url><loc>https://scifaro.com/en/abs/neco-neural-collapse-based-out-of-distribution-detection-2310.06823</loc><lastmod>2024-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neco-neural-collapse-based-out-of-distribution-detection-2310.06823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neco-neural-collapse-based-out-of-distribution-detection-2310.06823"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-cox-partially-linear-regression-building-predictive-models-for-cancer-patients-survival-2310.07187</loc><lastmod>2023-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-cox-partially-linear-regression-building-predictive-models-for-cancer-patients-survival-2310.07187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-cox-partially-linear-regression-building-predictive-models-for-cancer-patients-survival-2310.07187"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-deep-shallow-or-in-between-2310.07190</loc><lastmod>2023-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-deep-shallow-or-in-between-2310.07190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-deep-shallow-or-in-between-2310.07190"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-modeling-for-stochastic-crack-growth-processes-in-structural-health-monitoring-applications-2310.07241</loc><lastmod>2023-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-modeling-for-stochastic-crack-growth-processes-in-structural-health-monitoring-applications-2310.07241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-modeling-for-stochastic-crack-growth-processes-in-structural-health-monitoring-applications-2310.07241"/></url>
<url><loc>https://scifaro.com/en/abs/smoothness-adaptive-dynamic-pricing-with-nonparametric-demand-learning-2310.07558</loc><lastmod>2023-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smoothness-adaptive-dynamic-pricing-with-nonparametric-demand-learning-2310.07558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smoothness-adaptive-dynamic-pricing-with-nonparametric-demand-learning-2310.07558"/></url>
<url><loc>https://scifaro.com/en/abs/stabilizing-estimates-of-shapley-values-with-control-variates-2310.07672</loc><lastmod>2024-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stabilizing-estimates-of-shapley-values-with-control-variates-2310.07672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stabilizing-estimates-of-shapley-values-with-control-variates-2310.07672"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-computational-complexity-of-private-high-dimensional-model-selection-2310.07852</loc><lastmod>2024-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-computational-complexity-of-private-high-dimensional-model-selection-2310.07852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-computational-complexity-of-private-high-dimensional-model-selection-2310.07852"/></url>
<url><loc>https://scifaro.com/en/abs/a-theory-of-non-linear-feature-learning-with-one-gradient-step-in-two-layer-neural-networks-2310.07891</loc><lastmod>2025-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theory-of-non-linear-feature-learning-with-one-gradient-step-in-two-layer-neural-networks-2310.07891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theory-of-non-linear-feature-learning-with-one-gradient-step-in-two-layer-neural-networks-2310.07891"/></url>
<url><loc>https://scifaro.com/en/abs/conformal-inference-for-regression-on-riemannian-manifolds-2310.08209</loc><lastmod>2025-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformal-inference-for-regression-on-riemannian-manifolds-2310.08209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformal-inference-for-regression-on-riemannian-manifolds-2310.08209"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-unified-analysis-of-kernel-based-methods-under-covariate-shift-2310.08237</loc><lastmod>2023-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-unified-analysis-of-kernel-based-methods-under-covariate-shift-2310.08237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-unified-analysis-of-kernel-based-methods-under-covariate-shift-2310.08237"/></url>
<url><loc>https://scifaro.com/en/abs/a-symmetry-aware-exploration-of-bayesian-neural-network-posteriors-2310.08287</loc><lastmod>2023-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-symmetry-aware-exploration-of-bayesian-neural-network-posteriors-2310.08287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-symmetry-aware-exploration-of-bayesian-neural-network-posteriors-2310.08287"/></url>
<url><loc>https://scifaro.com/en/abs/dealing-with-uncertainty-balancing-exploration-and-exploitation-in-deep-recurrent-reinforcement-learning-2310.08331</loc><lastmod>2024-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dealing-with-uncertainty-balancing-exploration-and-exploitation-in-deep-recurrent-reinforcement-learning-2310.08331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dealing-with-uncertainty-balancing-exploration-and-exploitation-in-deep-recurrent-reinforcement-learning-2310.08331"/></url>
<url><loc>https://scifaro.com/en/abs/how-many-pretraining-tasks-are-needed-for-in-context-learning-of-linear-regression-2310.08391</loc><lastmod>2024-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-many-pretraining-tasks-are-needed-for-in-context-learning-of-linear-regression-2310.08391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-many-pretraining-tasks-are-needed-for-in-context-learning-of-linear-regression-2310.08391"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-climate-pathways-using-feature-importance-on-echo-state-networks-2310.08495</loc><lastmod>2023-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-climate-pathways-using-feature-importance-on-echo-state-networks-2310.08495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-climate-pathways-using-feature-importance-on-echo-state-networks-2310.08495"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-music-playlist-generation-via-simulation-based-reinforcement-learning-2310.09123</loc><lastmod>2023-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-music-playlist-generation-via-simulation-based-reinforcement-learning-2310.09123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-music-playlist-generation-via-simulation-based-reinforcement-learning-2310.09123"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-approximation-schemes-based-on-voronoi-partitions-2310.09149</loc><lastmod>2024-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-approximation-schemes-based-on-voronoi-partitions-2310.09149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-approximation-schemes-based-on-voronoi-partitions-2310.09149"/></url>
<url><loc>https://scifaro.com/en/abs/genot-entropic-gromov-wasserstein-flow-matching-with-applications-to-single-cell-genomics-2310.09254</loc><lastmod>2024-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/genot-entropic-gromov-wasserstein-flow-matching-with-applications-to-single-cell-genomics-2310.09254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/genot-entropic-gromov-wasserstein-flow-matching-with-applications-to-single-cell-genomics-2310.09254"/></url>
<url><loc>https://scifaro.com/en/abs/the-surrogate-gibbs-posterior-of-a-corrected-stochastic-mala-towards-uncertainty-quantification-for-neural-networks-2310.09335</loc><lastmod>2026-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-surrogate-gibbs-posterior-of-a-corrected-stochastic-mala-towards-uncertainty-quantification-for-neural-networks-2310.09335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-surrogate-gibbs-posterior-of-a-corrected-stochastic-mala-towards-uncertainty-quantification-for-neural-networks-2310.09335"/></url>
<url><loc>https://scifaro.com/en/abs/signal-reconstruction-using-determinantal-sampling-2310.09437</loc><lastmod>2024-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/signal-reconstruction-using-determinantal-sampling-2310.09437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/signal-reconstruction-using-determinantal-sampling-2310.09437"/></url>
<url><loc>https://scifaro.com/en/abs/arm-refining-multivariate-forecasting-with-adaptive-temporal-contextual-learning-2310.09488</loc><lastmod>2026-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/arm-refining-multivariate-forecasting-with-adaptive-temporal-contextual-learning-2310.09488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/arm-refining-multivariate-forecasting-with-adaptive-temporal-contextual-learning-2310.09488"/></url>
<url><loc>https://scifaro.com/en/abs/pseudo-bayesian-optimization-2310.09766</loc><lastmod>2025-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pseudo-bayesian-optimization-2310.09766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pseudo-bayesian-optimization-2310.09766"/></url>
<url><loc>https://scifaro.com/en/abs/outlier-detection-using-generative-models-with-theoretical-performance-guarantees-2310.09999</loc><lastmod>2023-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outlier-detection-using-generative-models-with-theoretical-performance-guarantees-2310.09999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outlier-detection-using-generative-models-with-theoretical-performance-guarantees-2310.09999"/></url>
<url><loc>https://scifaro.com/en/abs/soft-ascent-descent-as-a-stable-and-flexible-alternative-to-flooding-2310.10006</loc><lastmod>2024-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-ascent-descent-as-a-stable-and-flexible-alternative-to-flooding-2310.10006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-ascent-descent-as-a-stable-and-flexible-alternative-to-flooding-2310.10006"/></url>
<url><loc>https://scifaro.com/en/abs/riemannian-residual-neural-networks-2310.10013</loc><lastmod>2023-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/riemannian-residual-neural-networks-2310.10013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/riemannian-residual-neural-networks-2310.10013"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-study-of-self-supervised-learning-with-wasserstein-distance-2310.10143</loc><lastmod>2024-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-study-of-self-supervised-learning-with-wasserstein-distance-2310.10143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-study-of-self-supervised-learning-with-wasserstein-distance-2310.10143"/></url>
<url><loc>https://scifaro.com/en/abs/on-permutation-symmetries-in-bayesian-neural-network-posteriors-a-variational-perspective-2310.10171</loc><lastmod>2023-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-permutation-symmetries-in-bayesian-neural-network-posteriors-a-variational-perspective-2310.10171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-permutation-symmetries-in-bayesian-neural-network-posteriors-a-variational-perspective-2310.10171"/></url>
<url><loc>https://scifaro.com/en/abs/structural-transfer-learning-of-non-gaussian-dag-2310.10239</loc><lastmod>2023-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structural-transfer-learning-of-non-gaussian-dag-2310.10239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structural-transfer-learning-of-non-gaussian-dag-2310.10239"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-properties-and-estimation-of-pointwise-mutual-information-profiles-2310.10240</loc><lastmod>2024-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-properties-and-estimation-of-pointwise-mutual-information-profiles-2310.10240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-properties-and-estimation-of-pointwise-mutual-information-profiles-2310.10240"/></url>
<url><loc>https://scifaro.com/en/abs/an-anytime-algorithm-for-good-arm-identification-2310.10359</loc><lastmod>2026-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-anytime-algorithm-for-good-arm-identification-2310.10359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-anytime-algorithm-for-good-arm-identification-2310.10359"/></url>
<url><loc>https://scifaro.com/en/abs/equivariant-matrix-function-neural-networks-2310.10434</loc><lastmod>2024-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivariant-matrix-function-neural-networks-2310.10434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivariant-matrix-function-neural-networks-2310.10434"/></url>
<url><loc>https://scifaro.com/en/abs/a-geometric-insight-into-equivariant-message-passing-neural-networks-on-riemannian-manifolds-2310.10448</loc><lastmod>2023-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-geometric-insight-into-equivariant-message-passing-neural-networks-on-riemannian-manifolds-2310.10448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-geometric-insight-into-equivariant-message-passing-neural-networks-on-riemannian-manifolds-2310.10448"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-vintage-factor-analysis-with-deflation-varimax-2310.10545</loc><lastmod>2025-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-vintage-factor-analysis-with-deflation-varimax-2310.10545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-vintage-factor-analysis-with-deflation-varimax-2310.10545"/></url>
<url><loc>https://scifaro.com/en/abs/causal-dynamic-variational-autoencoder-for-counterfactual-regression-in-longitudinal-data-2310.10559</loc><lastmod>2025-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-dynamic-variational-autoencoder-for-counterfactual-regression-in-longitudinal-data-2310.10559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-dynamic-variational-autoencoder-for-counterfactual-regression-in-longitudinal-data-2310.10559"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-properties-of-adversarially-trained-linear-regression-2310.10807</loc><lastmod>2023-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-properties-of-adversarially-trained-linear-regression-2310.10807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-properties-of-adversarially-trained-linear-regression-2310.10807"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-classification-by-density-estimation-using-gaussian-mixture-model-and-masked-autoregressive-flow-2310.10843</loc><lastmod>2023-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-classification-by-density-estimation-using-gaussian-mixture-model-and-masked-autoregressive-flow-2310.10843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-classification-by-density-estimation-using-gaussian-mixture-model-and-masked-autoregressive-flow-2310.10843"/></url>
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<url><loc>https://scifaro.com/en/abs/restricted-tweedie-stochastic-block-models-2310.10952</loc><lastmod>2023-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/restricted-tweedie-stochastic-block-models-2310.10952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/restricted-tweedie-stochastic-block-models-2310.10952"/></url>
<url><loc>https://scifaro.com/en/abs/cheap-bootstrap-for-fast-uncertainty-quantification-of-stochastic-gradient-descent-2310.11065</loc><lastmod>2026-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cheap-bootstrap-for-fast-uncertainty-quantification-of-stochastic-gradient-descent-2310.11065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cheap-bootstrap-for-fast-uncertainty-quantification-of-stochastic-gradient-descent-2310.11065"/></url>
<url><loc>https://scifaro.com/en/abs/sensitivity-aware-amortized-bayesian-inference-2310.11122</loc><lastmod>2024-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sensitivity-aware-amortized-bayesian-inference-2310.11122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sensitivity-aware-amortized-bayesian-inference-2310.11122"/></url>
<url><loc>https://scifaro.com/en/abs/development-of-a-high-resolution-indoor-radon-map-using-a-new-machine-learning-based-probabilistic-model-and-german-radon-survey-data-2310.11143</loc><lastmod>2026-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/development-of-a-high-resolution-indoor-radon-map-using-a-new-machine-learning-based-probabilistic-model-and-german-radon-survey-data-2310.11143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/development-of-a-high-resolution-indoor-radon-map-using-a-new-machine-learning-based-probabilistic-model-and-german-radon-survey-data-2310.11143"/></url>
<url><loc>https://scifaro.com/en/abs/gromov-wasserstein-like-distances-in-the-gaussian-mixture-models-space-2310.11256</loc><lastmod>2024-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gromov-wasserstein-like-distances-in-the-gaussian-mixture-models-space-2310.11256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gromov-wasserstein-like-distances-in-the-gaussian-mixture-models-space-2310.11256"/></url>
<url><loc>https://scifaro.com/en/abs/contextualized-machine-learning-2310.11340</loc><lastmod>2023-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextualized-machine-learning-2310.11340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextualized-machine-learning-2310.11340"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-interpretable-visual-features-in-artificial-and-biological-neural-systems-2310.11431</loc><lastmod>2023-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-interpretable-visual-features-in-artificial-and-biological-neural-systems-2310.11431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-interpretable-visual-features-in-artificial-and-biological-neural-systems-2310.11431"/></url>
<url><loc>https://scifaro.com/en/abs/thin-and-deep-gaussian-processes-2310.11527</loc><lastmod>2023-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thin-and-deep-gaussian-processes-2310.11527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thin-and-deep-gaussian-processes-2310.11527"/></url>
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<url><loc>https://scifaro.com/en/abs/interpretable-spectral-variational-autoencoder-isvae-for-time-series-clustering-2310.11940</loc><lastmod>2023-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-spectral-variational-autoencoder-isvae-for-time-series-clustering-2310.11940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-spectral-variational-autoencoder-isvae-for-time-series-clustering-2310.11940"/></url>
<url><loc>https://scifaro.com/en/abs/can-bin-wise-scaling-improve-consistency-and-adaptivity-of-prediction-uncertainty-for-machine-learning-regression-2310.11978</loc><lastmod>2023-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-bin-wise-scaling-improve-consistency-and-adaptivity-of-prediction-uncertainty-for-machine-learning-regression-2310.11978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-bin-wise-scaling-improve-consistency-and-adaptivity-of-prediction-uncertainty-for-machine-learning-regression-2310.11978"/></url>
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<url><loc>https://scifaro.com/en/abs/mmd-based-variable-importance-for-distributional-random-forest-2310.12115</loc><lastmod>2024-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mmd-based-variable-importance-for-distributional-random-forest-2310.12115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mmd-based-variable-importance-for-distributional-random-forest-2310.12115"/></url>
<url><loc>https://scifaro.com/en/abs/preference-optimization-for-molecular-language-models-2310.12304</loc><lastmod>2023-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preference-optimization-for-molecular-language-models-2310.12304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preference-optimization-for-molecular-language-models-2310.12304"/></url>
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<url><loc>https://scifaro.com/en/abs/constrained-reweighting-of-distributions-an-optimal-transport-approach-2310.12447</loc><lastmod>2024-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-reweighting-of-distributions-an-optimal-transport-approach-2310.12447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-reweighting-of-distributions-an-optimal-transport-approach-2310.12447"/></url>
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<url><loc>https://scifaro.com/en/abs/approximate-information-maximization-for-bandit-games-2310.12563</loc><lastmod>2024-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-information-maximization-for-bandit-games-2310.12563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-information-maximization-for-bandit-games-2310.12563"/></url>
<url><loc>https://scifaro.com/en/abs/stanley-stochastic-gradient-anisotropic-langevin-dynamics-for-learning-energy-based-models-2310.12667</loc><lastmod>2023-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stanley-stochastic-gradient-anisotropic-langevin-dynamics-for-learning-energy-based-models-2310.12667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stanley-stochastic-gradient-anisotropic-langevin-dynamics-for-learning-energy-based-models-2310.12667"/></url>
<url><loc>https://scifaro.com/en/abs/canonical-normalizing-flows-for-manifold-learning-2310.12743</loc><lastmod>2025-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/canonical-normalizing-flows-for-manifold-learning-2310.12743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/canonical-normalizing-flows-for-manifold-learning-2310.12743"/></url>
<url><loc>https://scifaro.com/en/abs/simulation-based-bayesian-inference-from-privacy-protected-data-2310.12781</loc><lastmod>2025-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulation-based-bayesian-inference-from-privacy-protected-data-2310.12781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulation-based-bayesian-inference-from-privacy-protected-data-2310.12781"/></url>
<url><loc>https://scifaro.com/en/abs/dcsi-an-improved-measure-of-cluster-separability-based-on-separation-and-connectedness-2310.12806</loc><lastmod>2025-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dcsi-an-improved-measure-of-cluster-separability-based-on-separation-and-connectedness-2310.12806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dcsi-an-improved-measure-of-cluster-separability-based-on-separation-and-connectedness-2310.12806"/></url>
<url><loc>https://scifaro.com/en/abs/generating-collective-counterfactual-explanations-in-score-based-classification-via-mathematical-optimization-2310.12822</loc><lastmod>2023-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-collective-counterfactual-explanations-in-score-based-classification-via-mathematical-optimization-2310.12822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-collective-counterfactual-explanations-in-score-based-classification-via-mathematical-optimization-2310.12822"/></url>
<url><loc>https://scifaro.com/en/abs/model-agnostic-variable-importance-for-predictive-uncertainty-an-entropy-based-approach-2310.12842</loc><lastmod>2024-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-agnostic-variable-importance-for-predictive-uncertainty-an-entropy-based-approach-2310.12842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-agnostic-variable-importance-for-predictive-uncertainty-an-entropy-based-approach-2310.12842"/></url>
<url><loc>https://scifaro.com/en/abs/pac-prediction-sets-under-label-shift-2310.12964</loc><lastmod>2023-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-prediction-sets-under-label-shift-2310.12964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-prediction-sets-under-label-shift-2310.12964"/></url>
<url><loc>https://scifaro.com/en/abs/sequence-length-independent-norm-based-generalization-bounds-for-transformers-2310.13088</loc><lastmod>2023-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequence-length-independent-norm-based-generalization-bounds-for-transformers-2310.13088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequence-length-independent-norm-based-generalization-bounds-for-transformers-2310.13088"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-of-physics-informed-neural-networks-for-efficiently-solving-newly-given-pdes-2310.13270</loc><lastmod>2023-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-of-physics-informed-neural-networks-for-efficiently-solving-newly-given-pdes-2310.13270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-of-physics-informed-neural-networks-for-efficiently-solving-newly-given-pdes-2310.13270"/></url>
<url><loc>https://scifaro.com/en/abs/non-negative-spherical-relaxations-for-universe-free-multi-matching-and-clustering-2310.13311</loc><lastmod>2023-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-negative-spherical-relaxations-for-universe-free-multi-matching-and-clustering-2310.13311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-negative-spherical-relaxations-for-universe-free-multi-matching-and-clustering-2310.13311"/></url>
<url><loc>https://scifaro.com/en/abs/deepfdr-a-deep-learning-based-false-discovery-rate-control-method-for-neuroimaging-data-2310.13349</loc><lastmod>2024-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepfdr-a-deep-learning-based-false-discovery-rate-control-method-for-neuroimaging-data-2310.13349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepfdr-a-deep-learning-based-false-discovery-rate-control-method-for-neuroimaging-data-2310.13349"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-best-arm-identification-with-fixed-confidence-in-restless-bandits-2310.13393</loc><lastmod>2024-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-best-arm-identification-with-fixed-confidence-in-restless-bandits-2310.13393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-best-arm-identification-with-fixed-confidence-in-restless-bandits-2310.13393"/></url>
<url><loc>https://scifaro.com/en/abs/calibrating-neural-simulation-based-inference-with-differentiable-coverage-probability-2310.13402</loc><lastmod>2023-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrating-neural-simulation-based-inference-with-differentiable-coverage-probability-2310.13402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrating-neural-simulation-based-inference-with-differentiable-coverage-probability-2310.13402"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-transport-for-measures-with-noisy-tree-metric-2310.13653</loc><lastmod>2024-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-transport-for-measures-with-noisy-tree-metric-2310.13653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-transport-for-measures-with-noisy-tree-metric-2310.13653"/></url>
<url><loc>https://scifaro.com/en/abs/fundamental-limits-of-membership-inference-attacks-on-machine-learning-models-2310.13786</loc><lastmod>2025-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fundamental-limits-of-membership-inference-attacks-on-machine-learning-models-2310.13786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fundamental-limits-of-membership-inference-attacks-on-machine-learning-models-2310.13786"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-robust-optimization-with-bias-and-variance-reduction-2310.13863</loc><lastmod>2023-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-robust-optimization-with-bias-and-variance-reduction-2310.13863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-robust-optimization-with-bias-and-variance-reduction-2310.13863"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-for-kernel-based-regression-2310.13966</loc><lastmod>2025-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-for-kernel-based-regression-2310.13966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-for-kernel-based-regression-2310.13966"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-linear-regression-with-compositional-covariates-2310.13969</loc><lastmod>2023-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-linear-regression-with-compositional-covariates-2310.13969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-linear-regression-with-compositional-covariates-2310.13969"/></url>
<url><loc>https://scifaro.com/en/abs/asbart-accelerated-soft-bayes-additive-regression-trees-2310.13975</loc><lastmod>2023-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asbart-accelerated-soft-bayes-additive-regression-trees-2310.13975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asbart-accelerated-soft-bayes-additive-regression-trees-2310.13975"/></url>
<url><loc>https://scifaro.com/en/abs/on-discretisation-drift-and-smoothness-regularisation-in-neural-network-training-2310.14036</loc><lastmod>2023-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-discretisation-drift-and-smoothness-regularisation-in-neural-network-training-2310.14036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-discretisation-drift-and-smoothness-regularisation-in-neural-network-training-2310.14036"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-theory-for-softmax-gating-multinomial-logistic-mixture-of-experts-2310.14188</loc><lastmod>2024-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-theory-for-softmax-gating-multinomial-logistic-mixture-of-experts-2310.14188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-theory-for-softmax-gating-multinomial-logistic-mixture-of-experts-2310.14188"/></url>
<url><loc>https://scifaro.com/en/abs/improved-high-probability-bounds-for-the-temporal-difference-learning-algorithm-via-exponential-stability-2310.14286</loc><lastmod>2024-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-high-probability-bounds-for-the-temporal-difference-learning-algorithm-via-exponential-stability-2310.14286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-high-probability-bounds-for-the-temporal-difference-learning-algorithm-via-exponential-stability-2310.14286"/></url>
<url><loc>https://scifaro.com/en/abs/on-existence-uniqueness-and-scalability-of-adversarial-robustness-measures-for-ai-classifiers-2310.14421</loc><lastmod>2023-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-existence-uniqueness-and-scalability-of-adversarial-robustness-measures-for-ai-classifiers-2310.14421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-existence-uniqueness-and-scalability-of-adversarial-robustness-measures-for-ai-classifiers-2310.14421"/></url>
<url><loc>https://scifaro.com/en/abs/trigonometric-quadrature-fourier-features-for-scalable-gaussian-process-regression-2310.14544</loc><lastmod>2023-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trigonometric-quadrature-fourier-features-for-scalable-gaussian-process-regression-2310.14544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trigonometric-quadrature-fourier-features-for-scalable-gaussian-process-regression-2310.14544"/></url>
<url><loc>https://scifaro.com/en/abs/cad-da-controllable-anomaly-detection-after-domain-adaptation-by-statistical-inference-2310.14608</loc><lastmod>2023-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cad-da-controllable-anomaly-detection-after-domain-adaptation-by-statistical-inference-2310.14608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cad-da-controllable-anomaly-detection-after-domain-adaptation-by-statistical-inference-2310.14608"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-forest-height-and-biomass-from-open-access-multi-sensor-satellite-imagery-and-gedi-lidar-data-high-resolution-maps-of-metropolitan-france-2310.14662</loc><lastmod>2023-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-forest-height-and-biomass-from-open-access-multi-sensor-satellite-imagery-and-gedi-lidar-data-high-resolution-maps-of-metropolitan-france-2310.14662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-forest-height-and-biomass-from-open-access-multi-sensor-satellite-imagery-and-gedi-lidar-data-high-resolution-maps-of-metropolitan-france-2310.14662"/></url>
<url><loc>https://scifaro.com/en/abs/random-forest-kernel-for-high-dimension-low-sample-size-classification-2310.14710</loc><lastmod>2023-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-forest-kernel-for-high-dimension-low-sample-size-classification-2310.14710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-forest-kernel-for-high-dimension-low-sample-size-classification-2310.14710"/></url>
<url><loc>https://scifaro.com/en/abs/sharp-error-bounds-for-imbalanced-classification-how-many-examples-in-the-minority-class-2310.14826</loc><lastmod>2024-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sharp-error-bounds-for-imbalanced-classification-how-many-examples-in-the-minority-class-2310.14826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sharp-error-bounds-for-imbalanced-classification-how-many-examples-in-the-minority-class-2310.14826"/></url>
<url><loc>https://scifaro.com/en/abs/bounding-the-worst-class-error-a-boosting-approach-2310.14890</loc><lastmod>2025-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounding-the-worst-class-error-a-boosting-approach-2310.14890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounding-the-worst-class-error-a-boosting-approach-2310.14890"/></url>
<url><loc>https://scifaro.com/en/abs/fast-2d-bicephalous-convolutional-autoencoder-for-compressing-3d-time-projection-chamber-data-2310.15026</loc><lastmod>2023-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-2d-bicephalous-convolutional-autoencoder-for-compressing-3d-time-projection-chamber-data-2310.15026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-2d-bicephalous-convolutional-autoencoder-for-compressing-3d-time-projection-chamber-data-2310.15026"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-machine-learning-models-in-non-standard-settings-an-overview-and-new-findings-2310.15108</loc><lastmod>2023-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-machine-learning-models-in-non-standard-settings-an-overview-and-new-findings-2310.15108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-machine-learning-models-in-non-standard-settings-an-overview-and-new-findings-2310.15108"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-variable-global-sensitivity-analysis-for-knowledge-discovery-and-efficient-combinatorial-materials-design-2310.15124</loc><lastmod>2024-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-variable-global-sensitivity-analysis-for-knowledge-discovery-and-efficient-combinatorial-materials-design-2310.15124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-variable-global-sensitivity-analysis-for-knowledge-discovery-and-efficient-combinatorial-materials-design-2310.15124"/></url>
<url><loc>https://scifaro.com/en/abs/uncertaintyplayground-a-fast-and-simplified-python-library-for-uncertainty-estimation-2310.15281</loc><lastmod>2023-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertaintyplayground-a-fast-and-simplified-python-library-for-uncertainty-estimation-2310.15281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertaintyplayground-a-fast-and-simplified-python-library-for-uncertainty-estimation-2310.15281"/></url>
<url><loc>https://scifaro.com/en/abs/a-doubly-robust-approach-to-sparse-reinforcement-learning-2310.15286</loc><lastmod>2023-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-doubly-robust-approach-to-sparse-reinforcement-learning-2310.15286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-doubly-robust-approach-to-sparse-reinforcement-learning-2310.15286"/></url>
<url><loc>https://scifaro.com/en/abs/towards-the-theory-of-unsupervised-federated-learning-non-asymptotic-analysis-of-federated-em-algorithms-2310.15330</loc><lastmod>2025-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-the-theory-of-unsupervised-federated-learning-non-asymptotic-analysis-of-federated-em-algorithms-2310.15330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-the-theory-of-unsupervised-federated-learning-non-asymptotic-analysis-of-federated-em-algorithms-2310.15330"/></url>
<url><loc>https://scifaro.com/en/abs/error-analysis-of-generative-adversarial-network-2310.15387</loc><lastmod>2023-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-analysis-of-generative-adversarial-network-2310.15387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-analysis-of-generative-adversarial-network-2310.15387"/></url>
<url><loc>https://scifaro.com/en/abs/learning-dynamics-in-linear-vae-posterior-collapse-threshold-superfluous-latent-space-pitfalls-and-speedup-with-kl-annealing-2310.15440</loc><lastmod>2023-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-dynamics-in-linear-vae-posterior-collapse-threshold-superfluous-latent-space-pitfalls-and-speedup-with-kl-annealing-2310.15440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-dynamics-in-linear-vae-posterior-collapse-threshold-superfluous-latent-space-pitfalls-and-speedup-with-kl-annealing-2310.15440"/></url>
<url><loc>https://scifaro.com/en/abs/autodiff-combining-auto-encoder-and-diffusion-model-for-tabular-data-synthesizing-2310.15479</loc><lastmod>2023-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autodiff-combining-auto-encoder-and-diffusion-model-for-tabular-data-synthesizing-2310.15479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autodiff-combining-auto-encoder-and-diffusion-model-for-tabular-data-synthesizing-2310.15479"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-directed-acyclic-graphs-2310.15627</loc><lastmod>2024-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-directed-acyclic-graphs-2310.15627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-directed-acyclic-graphs-2310.15627"/></url>
<url><loc>https://scifaro.com/en/abs/causal-representation-learning-made-identifiable-by-grouping-of-observational-variables-2310.15709</loc><lastmod>2024-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-representation-learning-made-identifiable-by-grouping-of-observational-variables-2310.15709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-representation-learning-made-identifiable-by-grouping-of-observational-variables-2310.15709"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-single-cell-rna-sequencing-with-topological-nonnegative-matrix-factorization-2310.15744</loc><lastmod>2023-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-single-cell-rna-sequencing-with-topological-nonnegative-matrix-factorization-2310.15744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-single-cell-rna-sequencing-with-topological-nonnegative-matrix-factorization-2310.15744"/></url>
<url><loc>https://scifaro.com/en/abs/amortised-inference-in-neural-networks-for-small-scale-probabilistic-meta-learning-2310.15786</loc><lastmod>2023-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amortised-inference-in-neural-networks-for-small-scale-probabilistic-meta-learning-2310.15786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amortised-inference-in-neural-networks-for-small-scale-probabilistic-meta-learning-2310.15786"/></url>
<url><loc>https://scifaro.com/en/abs/improving-event-time-prediction-by-learning-to-partition-the-event-time-space-2310.15853</loc><lastmod>2023-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-event-time-prediction-by-learning-to-partition-the-event-time-space-2310.15853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-event-time-prediction-by-learning-to-partition-the-event-time-space-2310.15853"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-forward-and-backward-learning-of-evolving-tasks-with-performance-guarantees-2310.15974</loc><lastmod>2023-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-forward-and-backward-learning-of-evolving-tasks-with-performance-guarantees-2310.15974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-forward-and-backward-learning-of-evolving-tasks-with-performance-guarantees-2310.15974"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-bandits-for-evaluating-and-improving-inventory-control-policies-2310.16096</loc><lastmod>2023-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-bandits-for-evaluating-and-improving-inventory-control-policies-2310.16096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-bandits-for-evaluating-and-improving-inventory-control-policies-2310.16096"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-low-precision-sampling-via-stochastic-gradient-hamiltonian-monte-carlo-2310.16320</loc><lastmod>2024-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-low-precision-sampling-via-stochastic-gradient-hamiltonian-monte-carlo-2310.16320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-low-precision-sampling-via-stochastic-gradient-hamiltonian-monte-carlo-2310.16320"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-federated-x-armed-bandit-2310.16323</loc><lastmod>2023-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-federated-x-armed-bandit-2310.16323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-federated-x-armed-bandit-2310.16323"/></url>
<url><loc>https://scifaro.com/en/abs/grokking-in-linear-estimators-a-solvable-model-that-groks-without-understanding-2310.16441</loc><lastmod>2024-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grokking-in-linear-estimators-a-solvable-model-that-groks-without-understanding-2310.16441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grokking-in-linear-estimators-a-solvable-model-that-groks-without-understanding-2310.16441"/></url>
<url><loc>https://scifaro.com/en/abs/particle-based-variational-inference-with-generalized-wasserstein-gradient-flow-2310.16516</loc><lastmod>2023-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-based-variational-inference-with-generalized-wasserstein-gradient-flow-2310.16516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-based-variational-inference-with-generalized-wasserstein-gradient-flow-2310.16516"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-magnetic-field-maps-using-structured-kernel-interpolation-for-gaussian-process-regression-2310.16574</loc><lastmod>2023-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-magnetic-field-maps-using-structured-kernel-interpolation-for-gaussian-process-regression-2310.16574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-magnetic-field-maps-using-structured-kernel-interpolation-for-gaussian-process-regression-2310.16574"/></url>
<url><loc>https://scifaro.com/en/abs/mapping-the-magnetic-field-using-a-magnetometer-array-with-noisy-input-gaussian-process-regression-2310.16577</loc><lastmod>2023-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mapping-the-magnetic-field-using-a-magnetometer-array-with-noisy-input-gaussian-process-regression-2310.16577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mapping-the-magnetic-field-using-a-magnetometer-array-with-noisy-input-gaussian-process-regression-2310.16577"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-iid-weights-sparse-and-low-rank-deep-neural-networks-are-also-gaussian-processes-2310.16597</loc><lastmod>2024-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-iid-weights-sparse-and-low-rank-deep-neural-networks-are-also-gaussian-processes-2310.16597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-iid-weights-sparse-and-low-rank-deep-neural-networks-are-also-gaussian-processes-2310.16597"/></url>
<url><loc>https://scifaro.com/en/abs/mixerflow-mlp-mixer-meets-normalising-flows-2310.16777</loc><lastmod>2024-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixerflow-mlp-mixer-meets-normalising-flows-2310.16777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixerflow-mlp-mixer-meets-normalising-flows-2310.16777"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-diffusion-modeling-by-estimating-the-ratios-of-the-data-distribution-2310.16834</loc><lastmod>2024-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-diffusion-modeling-by-estimating-the-ratios-of-the-data-distribution-2310.16834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-diffusion-modeling-by-estimating-the-ratios-of-the-data-distribution-2310.16834"/></url>
<url><loc>https://scifaro.com/en/abs/causal-q-aggregation-for-cate-model-selection-2310.16945</loc><lastmod>2025-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-q-aggregation-for-cate-model-selection-2310.16945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-q-aggregation-for-cate-model-selection-2310.16945"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-neural-network-approaches-for-conditional-optimal-transport-with-applications-in-bayesian-inference-2310.16975</loc><lastmod>2025-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-neural-network-approaches-for-conditional-optimal-transport-with-applications-in-bayesian-inference-2310.16975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-neural-network-approaches-for-conditional-optimal-transport-with-applications-in-bayesian-inference-2310.16975"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-identifiability-and-interpretability-of-gaussian-process-models-2310.17023</loc><lastmod>2023-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-identifiability-and-interpretability-of-gaussian-process-models-2310.17023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-identifiability-and-interpretability-of-gaussian-process-models-2310.17023"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-cart-under-sufficient-impurity-decrease-condition-2310.17114</loc><lastmod>2023-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-cart-under-sufficient-impurity-decrease-condition-2310.17114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-cart-under-sufficient-impurity-decrease-condition-2310.17114"/></url>
<url><loc>https://scifaro.com/en/abs/demonstration-regularized-rl-2310.17303</loc><lastmod>2024-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demonstration-regularized-rl-2310.17303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demonstration-regularized-rl-2310.17303"/></url>
<url><loc>https://scifaro.com/en/abs/a-challenge-in-reweighting-data-with-bilevel-optimization-2310.17386</loc><lastmod>2023-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-challenge-in-reweighting-data-with-bilevel-optimization-2310.17386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-challenge-in-reweighting-data-with-bilevel-optimization-2310.17386"/></url>
<url><loc>https://scifaro.com/en/abs/the-statistical-thermodynamics-of-generative-diffusion-models-phase-transitions-symmetry-breaking-and-critical-instability-2310.17467</loc><lastmod>2024-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-statistical-thermodynamics-of-generative-diffusion-models-phase-transitions-symmetry-breaking-and-critical-instability-2310.17467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-statistical-thermodynamics-of-generative-diffusion-models-phase-transitions-symmetry-breaking-and-critical-instability-2310.17467"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-flow-based-generative-models-via-proximal-gradient-descent-in-wasserstein-space-2310.17582</loc><lastmod>2025-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-flow-based-generative-models-via-proximal-gradient-descent-in-wasserstein-space-2310.17582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-flow-based-generative-models-via-proximal-gradient-descent-in-wasserstein-space-2310.17582"/></url>
<url><loc>https://scifaro.com/en/abs/community-detection-guarantees-using-embeddings-learned-by-node2vec-2310.17712</loc><lastmod>2024-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/community-detection-guarantees-using-embeddings-learned-by-node2vec-2310.17712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/community-detection-guarantees-using-embeddings-learned-by-node2vec-2310.17712"/></url>
<url><loc>https://scifaro.com/en/abs/local-discovery-by-partitioning-polynomial-time-causal-discovery-around-exposure-outcome-pairs-2310.17816</loc><lastmod>2024-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-discovery-by-partitioning-polynomial-time-causal-discovery-around-exposure-outcome-pairs-2310.17816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-discovery-by-partitioning-polynomial-time-causal-discovery-around-exposure-outcome-pairs-2310.17816"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-imaging-inverse-problem-with-sa-roundtrip-prior-via-hmc-pcn-sampler-2310.17817</loc><lastmod>2023-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-imaging-inverse-problem-with-sa-roundtrip-prior-via-hmc-pcn-sampler-2310.17817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-imaging-inverse-problem-with-sa-roundtrip-prior-via-hmc-pcn-sampler-2310.17817"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-data-analytics-with-synthetic-volume-expansion-2310.17848</loc><lastmod>2024-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-data-analytics-with-synthetic-volume-expansion-2310.17848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-data-analytics-with-synthetic-volume-expansion-2310.17848"/></url>
<url><loc>https://scifaro.com/en/abs/reproducibility-in-multiple-instance-learning-a-case-for-algorithmic-unit-tests-2310.17867</loc><lastmod>2023-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reproducibility-in-multiple-instance-learning-a-case-for-algorithmic-unit-tests-2310.17867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reproducibility-in-multiple-instance-learning-a-case-for-algorithmic-unit-tests-2310.17867"/></url>
<url><loc>https://scifaro.com/en/abs/model-free-posterior-sampling-via-learning-rate-randomization-2310.18186</loc><lastmod>2025-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-free-posterior-sampling-via-learning-rate-randomization-2310.18186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-free-posterior-sampling-via-learning-rate-randomization-2310.18186"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-and-penalized-baseline-correction-2310.18306</loc><lastmod>2024-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-and-penalized-baseline-correction-2310.18306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-and-penalized-baseline-correction-2310.18306"/></url>
<url><loc>https://scifaro.com/en/abs/mcrage-synthetic-healthcare-data-for-fairness-2310.18430</loc><lastmod>2024-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcrage-synthetic-healthcare-data-for-fairness-2310.18430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcrage-synthetic-healthcare-data-for-fairness-2310.18430"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-optimization-with-implicit-constraints-for-public-policy-2310.18449</loc><lastmod>2025-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-optimization-with-implicit-constraints-for-public-policy-2310.18449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-optimization-with-implicit-constraints-for-public-policy-2310.18449"/></url>
<url><loc>https://scifaro.com/en/abs/improved-regret-bounds-of-multinomial-logistic-bandits-via-regret-to-confidence-set-conversion-2310.18554</loc><lastmod>2024-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-regret-bounds-of-multinomial-logistic-bandits-via-regret-to-confidence-set-conversion-2310.18554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-regret-bounds-of-multinomial-logistic-bandits-via-regret-to-confidence-set-conversion-2310.18554"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-decision-modeling-learning-interpretable-representations-of-behavior-2310.18591</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-decision-modeling-learning-interpretable-representations-of-behavior-2310.18591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-decision-modeling-learning-interpretable-representations-of-behavior-2310.18591"/></url>
<url><loc>https://scifaro.com/en/abs/fair-streaming-principal-component-analysis-statistical-and-algorithmic-viewpoint-2310.18593</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-streaming-principal-component-analysis-statistical-and-algorithmic-viewpoint-2310.18593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-streaming-principal-component-analysis-statistical-and-algorithmic-viewpoint-2310.18593"/></url>
<url><loc>https://scifaro.com/en/abs/online-decision-mediation-2310.18601</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-decision-mediation-2310.18601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-decision-mediation-2310.18601"/></url>
<url><loc>https://scifaro.com/en/abs/causal-discovery-in-a-complex-industrial-system-a-time-series-benchmark-2310.18654</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-discovery-in-a-complex-industrial-system-a-time-series-benchmark-2310.18654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-discovery-in-a-complex-industrial-system-a-time-series-benchmark-2310.18654"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-accuracy-of-hotelling-type-asymmetric-tensor-deflation-a-random-tensor-analysis-2310.18717</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-accuracy-of-hotelling-type-asymmetric-tensor-deflation-a-random-tensor-analysis-2310.18717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-accuracy-of-hotelling-type-asymmetric-tensor-deflation-a-random-tensor-analysis-2310.18717"/></url>
<url><loc>https://scifaro.com/en/abs/stability-of-random-forests-and-coverage-of-random-forest-prediction-intervals-2310.18814</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-of-random-forests-and-coverage-of-random-forest-prediction-intervals-2310.18814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-of-random-forests-and-coverage-of-random-forest-prediction-intervals-2310.18814"/></url>
<url><loc>https://scifaro.com/en/abs/intrinsic-gaussian-vector-fields-on-manifolds-2310.18824</loc><lastmod>2024-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrinsic-gaussian-vector-fields-on-manifolds-2310.18824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrinsic-gaussian-vector-fields-on-manifolds-2310.18824"/></url>
<url><loc>https://scifaro.com/en/abs/bayes-beats-cross-validation-efficient-and-accurate-ridge-regression-via-expectation-maximization-2310.18860</loc><lastmod>2023-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayes-beats-cross-validation-efficient-and-accurate-ridge-regression-via-expectation-maximization-2310.18860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayes-beats-cross-validation-efficient-and-accurate-ridge-regression-via-expectation-maximization-2310.18860"/></url>
<url><loc>https://scifaro.com/en/abs/a-u-turn-on-double-descent-rethinking-parameter-counting-in-statistical-learning-2310.18988</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-u-turn-on-double-descent-rethinking-parameter-counting-in-statistical-learning-2310.18988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-u-turn-on-double-descent-rethinking-parameter-counting-in-statistical-learning-2310.18988"/></url>
<url><loc>https://scifaro.com/en/abs/on-linear-separation-capacity-of-self-supervised-representation-learning-2310.19041</loc><lastmod>2024-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-linear-separation-capacity-of-self-supervised-representation-learning-2310.19041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-linear-separation-capacity-of-self-supervised-representation-learning-2310.19041"/></url>
<url><loc>https://scifaro.com/en/abs/factor-fitting-rank-allocation-and-partitioning-in-multilevel-low-rank-matrices-2310.19214</loc><lastmod>2025-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factor-fitting-rank-allocation-and-partitioning-in-multilevel-low-rank-matrices-2310.19214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factor-fitting-rank-allocation-and-partitioning-in-multilevel-low-rank-matrices-2310.19214"/></url>
<url><loc>https://scifaro.com/en/abs/a-spectral-regularisation-framework-for-latent-variable-models-designed-for-single-channel-applications-2310.19246</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-spectral-regularisation-framework-for-latent-variable-models-designed-for-single-channel-applications-2310.19246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-spectral-regularisation-framework-for-latent-variable-models-designed-for-single-channel-applications-2310.19246"/></url>
<url><loc>https://scifaro.com/en/abs/stage-aware-learning-for-dynamic-treatments-2310.19300</loc><lastmod>2024-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stage-aware-learning-for-dynamic-treatments-2310.19300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stage-aware-learning-for-dynamic-treatments-2310.19300"/></url>
<url><loc>https://scifaro.com/en/abs/dual-directed-algorithm-design-for-efficient-pure-exploration-2310.19319</loc><lastmod>2025-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-directed-algorithm-design-for-efficient-pure-exploration-2310.19319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-directed-algorithm-design-for-efficient-pure-exploration-2310.19319"/></url>
<url><loc>https://scifaro.com/en/abs/deep-anytime-valid-hypothesis-testing-2310.19384</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-anytime-valid-hypothesis-testing-2310.19384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-anytime-valid-hypothesis-testing-2310.19384"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-manifold-gaussian-process-regression-2310.19390</loc><lastmod>2024-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-manifold-gaussian-process-regression-2310.19390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-manifold-gaussian-process-regression-2310.19390"/></url>
<url><loc>https://scifaro.com/en/abs/hodge-compositional-edge-gaussian-processes-2310.19450</loc><lastmod>2024-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hodge-compositional-edge-gaussian-processes-2310.19450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hodge-compositional-edge-gaussian-processes-2310.19450"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-generalization-in-variational-autoencoders-how-effective-is-synthetic-data-overparameterization-2310.19653</loc><lastmod>2024-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-generalization-in-variational-autoencoders-how-effective-is-synthetic-data-overparameterization-2310.19653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-generalization-in-variational-autoencoders-how-effective-is-synthetic-data-overparameterization-2310.19653"/></url>
<url><loc>https://scifaro.com/en/abs/an-online-bootstrap-for-time-series-2310.19683</loc><lastmod>2024-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-online-bootstrap-for-time-series-2310.19683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-online-bootstrap-for-time-series-2310.19683"/></url>
<url><loc>https://scifaro.com/en/abs/on-learning-gaussian-multi-index-models-with-gradient-flow-2310.19793</loc><lastmod>2023-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-learning-gaussian-multi-index-models-with-gradient-flow-2310.19793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-learning-gaussian-multi-index-models-with-gradient-flow-2310.19793"/></url>
<url><loc>https://scifaro.com/en/abs/robust-causal-bandits-for-linear-models-2310.19794</loc><lastmod>2024-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-causal-bandits-for-linear-models-2310.19794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-causal-bandits-for-linear-models-2310.19794"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-by-imitating-understanding-decisions-by-interpretable-policy-learning-2310.19831</loc><lastmod>2023-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-by-imitating-understanding-decisions-by-interpretable-policy-learning-2310.19831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-by-imitating-understanding-decisions-by-interpretable-policy-learning-2310.19831"/></url>
<url><loc>https://scifaro.com/en/abs/unified-enhancement-of-privacy-bounds-for-mixture-mechanisms-via-f-differential-privacy-2310.19973</loc><lastmod>2023-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unified-enhancement-of-privacy-bounds-for-mixture-mechanisms-via-f-differential-privacy-2310.19973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unified-enhancement-of-privacy-bounds-for-mixture-mechanisms-via-f-differential-privacy-2310.19973"/></url>
<url><loc>https://scifaro.com/en/abs/improved-bayesian-regret-bounds-for-thompson-sampling-in-reinforcement-learning-2310.20007</loc><lastmod>2024-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-bayesian-regret-bounds-for-thompson-sampling-in-reinforcement-learning-2310.20007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-bayesian-regret-bounds-for-thompson-sampling-in-reinforcement-learning-2310.20007"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-optimal-pac-bayes-bounds-with-hamiltonian-monte-carlo-2310.20053</loc><lastmod>2023-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-optimal-pac-bayes-bounds-with-hamiltonian-monte-carlo-2310.20053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-optimal-pac-bayes-bounds-with-hamiltonian-monte-carlo-2310.20053"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-the-gap-between-variational-inference-and-wasserstein-gradient-flows-2310.20090</loc><lastmod>2023-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-the-gap-between-variational-inference-and-wasserstein-gradient-flows-2310.20090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-the-gap-between-variational-inference-and-wasserstein-gradient-flows-2310.20090"/></url>
<url><loc>https://scifaro.com/en/abs/sample-conditioned-hypothesis-stability-sharpens-information-theoretic-generalization-bounds-2310.20102</loc><lastmod>2023-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-conditioned-hypothesis-stability-sharpens-information-theoretic-generalization-bounds-2310.20102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-conditioned-hypothesis-stability-sharpens-information-theoretic-generalization-bounds-2310.20102"/></url>
<url><loc>https://scifaro.com/en/abs/choose-a-table-tensor-dirichlet-process-multinomial-mixture-model-with-graphs-for-passenger-trajectory-clustering-2310.20224</loc><lastmod>2023-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/choose-a-table-tensor-dirichlet-process-multinomial-mixture-model-with-graphs-for-passenger-trajectory-clustering-2310.20224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/choose-a-table-tensor-dirichlet-process-multinomial-mixture-model-with-graphs-for-passenger-trajectory-clustering-2310.20224"/></url>
<url><loc>https://scifaro.com/en/abs/the-phase-transition-phenomenon-of-shuffled-regression-2310.20438</loc><lastmod>2023-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-phase-transition-phenomenon-of-shuffled-regression-2310.20438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-phase-transition-phenomenon-of-shuffled-regression-2310.20438"/></url>
<url><loc>https://scifaro.com/en/abs/parametric-fairness-with-statistical-guarantees-2310.20508</loc><lastmod>2023-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parametric-fairness-with-statistical-guarantees-2310.20508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parametric-fairness-with-statistical-guarantees-2310.20508"/></url>
<url><loc>https://scifaro.com/en/abs/initialization-matters-privacy-utility-analysis-of-overparameterized-neural-networks-2310.20579</loc><lastmod>2023-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/initialization-matters-privacy-utility-analysis-of-overparameterized-neural-networks-2310.20579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/initialization-matters-privacy-utility-analysis-of-overparameterized-neural-networks-2310.20579"/></url>
<url><loc>https://scifaro.com/en/abs/graph-matching-via-convex-relaxation-to-the-simplex-2310.20609</loc><lastmod>2024-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-matching-via-convex-relaxation-to-the-simplex-2310.20609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-matching-via-convex-relaxation-to-the-simplex-2310.20609"/></url>
<url><loc>https://scifaro.com/en/abs/projecting-basis-functions-with-tensor-networks-for-gaussian-process-regression-2310.20630</loc><lastmod>2023-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projecting-basis-functions-with-tensor-networks-for-gaussian-process-regression-2310.20630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projecting-basis-functions-with-tensor-networks-for-gaussian-process-regression-2310.20630"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-biases-in-multitask-and-continual-learning-from-a-backward-error-analysis-perspective-2311.00235</loc><lastmod>2023-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-biases-in-multitask-and-continual-learning-from-a-backward-error-analysis-perspective-2311.00235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-biases-in-multitask-and-continual-learning-from-a-backward-error-analysis-perspective-2311.00235"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-for-label-noise-stochastic-gradient-descent-2311.00274</loc><lastmod>2023-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-for-label-noise-stochastic-gradient-descent-2311.00274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-for-label-noise-stochastic-gradient-descent-2311.00274"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-conjugate-gaussian-process-regression-2311.00463</loc><lastmod>2024-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-conjugate-gaussian-process-regression-2311.00463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-conjugate-gaussian-process-regression-2311.00463"/></url>
<url><loc>https://scifaro.com/en/abs/online-student-t-processes-with-an-overall-local-scale-structure-for-modelling-non-stationary-data-2311.00564</loc><lastmod>2023-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-student-t-processes-with-an-overall-local-scale-structure-for-modelling-non-stationary-data-2311.00564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-student-t-processes-with-an-overall-local-scale-structure-for-modelling-non-stationary-data-2311.00564"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-assignment-to-one-of-many-treatment-arms-via-regularized-and-clustered-joint-assignment-forests-2311.00577</loc><lastmod>2023-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-assignment-to-one-of-many-treatment-arms-via-regularized-and-clustered-joint-assignment-forests-2311.00577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-assignment-to-one-of-many-treatment-arms-via-regularized-and-clustered-joint-assignment-forests-2311.00577"/></url>
<url><loc>https://scifaro.com/en/abs/flexible-tails-for-normalising-flows-with-application-to-the-modelling-of-financial-return-data-2311.00580</loc><lastmod>2023-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexible-tails-for-normalising-flows-with-application-to-the-modelling-of-financial-return-data-2311.00580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexible-tails-for-normalising-flows-with-application-to-the-modelling-of-financial-return-data-2311.00580"/></url>
<url><loc>https://scifaro.com/en/abs/recovering-linear-causal-models-with-latent-variables-via-cholesky-factorization-of-covariance-matrix-2311.00674</loc><lastmod>2023-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovering-linear-causal-models-with-latent-variables-via-cholesky-factorization-of-covariance-matrix-2311.00674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovering-linear-causal-models-with-latent-variables-via-cholesky-factorization-of-covariance-matrix-2311.00674"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-model-selections-of-second-order-particle-dynamics-via-integrating-gaussian-processes-with-low-dimensional-interacting-structures-2311.00902</loc><lastmod>2023-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-model-selections-of-second-order-particle-dynamics-via-integrating-gaussian-processes-with-low-dimensional-interacting-structures-2311.00902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-model-selections-of-second-order-particle-dynamics-via-integrating-gaussian-processes-with-low-dimensional-interacting-structures-2311.00902"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-counterfactual-distribution-estimation-in-multivariate-causal-models-2311.00927</loc><lastmod>2023-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-counterfactual-distribution-estimation-in-multivariate-causal-models-2311.00927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-counterfactual-distribution-estimation-in-multivariate-causal-models-2311.00927"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-smoothed-gradient-descent-ascent-for-federated-minimax-optimization-2311.00944</loc><lastmod>2024-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-smoothed-gradient-descent-ascent-for-federated-minimax-optimization-2311.00944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-smoothed-gradient-descent-ascent-for-federated-minimax-optimization-2311.00944"/></url>
<url><loc>https://scifaro.com/en/abs/resilient-multiple-choice-learning-a-learned-scoring-scheme-with-application-to-audio-scene-analysis-2311.01052</loc><lastmod>2023-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resilient-multiple-choice-learning-a-learned-scoring-scheme-with-application-to-audio-scene-analysis-2311.01052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resilient-multiple-choice-learning-a-learned-scoring-scheme-with-application-to-audio-scene-analysis-2311.01052"/></url>
<url><loc>https://scifaro.com/en/abs/upper-and-lower-bounds-for-the-lipschitz-constant-of-random-neural-networks-2311.01356</loc><lastmod>2025-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/upper-and-lower-bounds-for-the-lipschitz-constant-of-random-neural-networks-2311.01356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/upper-and-lower-bounds-for-the-lipschitz-constant-of-random-neural-networks-2311.01356"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-generation-by-contrastive-imitation-2311.01388</loc><lastmod>2023-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-generation-by-contrastive-imitation-2311.01388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-generation-by-contrastive-imitation-2311.01388"/></url>
<url><loc>https://scifaro.com/en/abs/ppi-efficient-prediction-powered-inference-2311.01453</loc><lastmod>2024-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ppi-efficient-prediction-powered-inference-2311.01453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ppi-efficient-prediction-powered-inference-2311.01453"/></url>
<url><loc>https://scifaro.com/en/abs/applications-of-the-theory-of-aggregated-markov-processes-in-stochastic-learning-theory-2311.01476</loc><lastmod>2023-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applications-of-the-theory-of-aggregated-markov-processes-in-stochastic-learning-theory-2311.01476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applications-of-the-theory-of-aggregated-markov-processes-in-stochastic-learning-theory-2311.01476"/></url>
<url><loc>https://scifaro.com/en/abs/invariant-causal-imitation-learning-for-generalizable-policies-2311.01489</loc><lastmod>2023-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invariant-causal-imitation-learning-for-generalizable-policies-2311.01489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invariant-causal-imitation-learning-for-generalizable-policies-2311.01489"/></url>
<url><loc>https://scifaro.com/en/abs/variable-selection-in-maximum-mean-discrepancy-for-interpretable-distribution-comparison-2311.01537</loc><lastmod>2025-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-selection-in-maximum-mean-discrepancy-for-interpretable-distribution-comparison-2311.01537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-selection-in-maximum-mean-discrepancy-for-interpretable-distribution-comparison-2311.01537"/></url>
<url><loc>https://scifaro.com/en/abs/changing-the-kernel-during-training-leads-to-double-descent-in-kernel-regression-2311.01762</loc><lastmod>2025-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/changing-the-kernel-during-training-leads-to-double-descent-in-kernel-regression-2311.01762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/changing-the-kernel-during-training-leads-to-double-descent-in-kernel-regression-2311.01762"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparse-codes-with-entropy-based-elbos-2311.01888</loc><lastmod>2024-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparse-codes-with-entropy-based-elbos-2311.01888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparse-codes-with-entropy-based-elbos-2311.01888"/></url>
<url><loc>https://scifaro.com/en/abs/online-non-parametric-likelihood-ratio-estimation-by-pearson-divergence-functional-minimization-2311.01900</loc><lastmod>2023-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-non-parametric-likelihood-ratio-estimation-by-pearson-divergence-functional-minimization-2311.01900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-non-parametric-likelihood-ratio-estimation-by-pearson-divergence-functional-minimization-2311.01900"/></url>
<url><loc>https://scifaro.com/en/abs/obtaining-explainable-classification-models-using-distributionally-robust-optimization-2311.01994</loc><lastmod>2023-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/obtaining-explainable-classification-models-using-distributionally-robust-optimization-2311.01994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/obtaining-explainable-classification-models-using-distributionally-robust-optimization-2311.01994"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-of-function-networks-with-partial-evaluations-2311.02146</loc><lastmod>2024-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-of-function-networks-with-partial-evaluations-2311.02146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-of-function-networks-with-partial-evaluations-2311.02146"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-linearly-mixed-causal-representations-from-multi-node-interventions-2311.02695</loc><lastmod>2024-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-linearly-mixed-causal-representations-from-multi-node-interventions-2311.02695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-linearly-mixed-causal-representations-from-multi-node-interventions-2311.02695"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-cellular-perturbations-with-the-sparse-additive-mechanism-shift-variational-autoencoder-2311.02794</loc><lastmod>2024-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-cellular-perturbations-with-the-sparse-additive-mechanism-shift-variational-autoencoder-2311.02794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-cellular-perturbations-with-the-sparse-additive-mechanism-shift-variational-autoencoder-2311.02794"/></url>
<url><loc>https://scifaro.com/en/abs/on-subagging-boosted-probit-model-trees-2311.02827</loc><lastmod>2023-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-subagging-boosted-probit-model-trees-2311.02827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-subagging-boosted-probit-model-trees-2311.02827"/></url>
<url><loc>https://scifaro.com/en/abs/barron-space-for-graph-convolution-neural-networks-2311.02838</loc><lastmod>2023-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/barron-space-for-graph-convolution-neural-networks-2311.02838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/barron-space-for-graph-convolution-neural-networks-2311.02838"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-modeling-of-the-composite-effect-of-multiple-nutrients-on-blood-glucose-dynamics-2311.03129</loc><lastmod>2023-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-modeling-of-the-composite-effect-of-multiple-nutrients-on-blood-glucose-dynamics-2311.03129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-modeling-of-the-composite-effect-of-multiple-nutrients-on-blood-glucose-dynamics-2311.03129"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-process-approximations-assessing-their-necessity-2311.03201</loc><lastmod>2023-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-process-approximations-assessing-their-necessity-2311.03201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-process-approximations-assessing-their-necessity-2311.03201"/></url>
<url><loc>https://scifaro.com/en/abs/practical-considerations-for-variable-screening-in-the-super-learner-2311.03313</loc><lastmod>2025-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-considerations-for-variable-screening-in-the-super-learner-2311.03313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-considerations-for-variable-screening-in-the-super-learner-2311.03313"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-learning-what-how-and-why-2311.03757</loc><lastmod>2023-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-learning-what-how-and-why-2311.03757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-learning-what-how-and-why-2311.03757"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-pareto-set-identification-the-fixed-budget-setting-2311.03992</loc><lastmod>2025-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-pareto-set-identification-the-fixed-budget-setting-2311.03992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-pareto-set-identification-the-fixed-budget-setting-2311.03992"/></url>
<url><loc>https://scifaro.com/en/abs/discordance-minimization-based-imputation-algorithms-for-missing-values-in-rating-data-2311.04035</loc><lastmod>2023-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discordance-minimization-based-imputation-algorithms-for-missing-values-in-rating-data-2311.04035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discordance-minimization-based-imputation-algorithms-for-missing-values-in-rating-data-2311.04035"/></url>
<url><loc>https://scifaro.com/en/abs/learning-linear-gaussian-polytree-models-with-interventions-2311.04636</loc><lastmod>2023-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-linear-gaussian-polytree-models-with-interventions-2311.04636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-linear-gaussian-polytree-models-with-interventions-2311.04636"/></url>
<url><loc>https://scifaro.com/en/abs/compressive-recovery-of-sparse-precision-matrices-2311.04673</loc><lastmod>2023-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressive-recovery-of-sparse-precision-matrices-2311.04673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressive-recovery-of-sparse-precision-matrices-2311.04673"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-consistency-of-maximum-likelihood-estimation-of-probabilistic-principal-component-analysis-2311.05046</loc><lastmod>2023-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-consistency-of-maximum-likelihood-estimation-of-probabilistic-principal-component-analysis-2311.05046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-consistency-of-maximum-likelihood-estimation-of-probabilistic-principal-component-analysis-2311.05046"/></url>
<url><loc>https://scifaro.com/en/abs/fair-wasserstein-coresets-2311.05436</loc><lastmod>2024-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-wasserstein-coresets-2311.05436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-wasserstein-coresets-2311.05436"/></url>
<url><loc>https://scifaro.com/en/abs/dirichlet-active-learning-2311.05501</loc><lastmod>2023-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dirichlet-active-learning-2311.05501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dirichlet-active-learning-2311.05501"/></url>
<url><loc>https://scifaro.com/en/abs/outlier-robust-wasserstein-dro-2311.05573</loc><lastmod>2023-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outlier-robust-wasserstein-dro-2311.05573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outlier-robust-wasserstein-dro-2311.05573"/></url>
<url><loc>https://scifaro.com/en/abs/towards-instance-optimality-in-online-pac-reinforcement-learning-2311.05638</loc><lastmod>2023-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-instance-optimality-in-online-pac-reinforcement-learning-2311.05638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-instance-optimality-in-online-pac-reinforcement-learning-2311.05638"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-simulation-based-bayesian-decisions-2311.05742</loc><lastmod>2023-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-simulation-based-bayesian-decisions-2311.05742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-simulation-based-bayesian-decisions-2311.05742"/></url>
<url><loc>https://scifaro.com/en/abs/fair-supervised-learning-with-a-simple-random-sampler-of-sensitive-attributes-2311.05866</loc><lastmod>2024-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-supervised-learning-with-a-simple-random-sampler-of-sensitive-attributes-2311.05866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-supervised-learning-with-a-simple-random-sampler-of-sensitive-attributes-2311.05866"/></url>
<url><loc>https://scifaro.com/en/abs/minimum-norm-interpolation-by-perceptra-explicit-regularization-and-implicit-bias-2311.06138</loc><lastmod>2023-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimum-norm-interpolation-by-perceptra-explicit-regularization-and-implicit-bias-2311.06138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimum-norm-interpolation-by-perceptra-explicit-regularization-and-implicit-bias-2311.06138"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-vq-vae-s-for-robust-white-matter-streamline-encodings-2311.06212</loc><lastmod>2023-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-vq-vae-s-for-robust-white-matter-streamline-encodings-2311.06212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-vq-vae-s-for-robust-white-matter-streamline-encodings-2311.06212"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-perspective-on-algorithm-unrolling-models-for-inverse-problems-2311.06395</loc><lastmod>2023-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-perspective-on-algorithm-unrolling-models-for-inverse-problems-2311.06395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-perspective-on-algorithm-unrolling-models-for-inverse-problems-2311.06395"/></url>
<url><loc>https://scifaro.com/en/abs/the-exact-determinant-of-a-specific-class-of-sparse-positive-definite-matrices-2311.06632</loc><lastmod>2023-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-exact-determinant-of-a-specific-class-of-sparse-positive-definite-matrices-2311.06632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-exact-determinant-of-a-specific-class-of-sparse-positive-definite-matrices-2311.06632"/></url>
<url><loc>https://scifaro.com/en/abs/how-do-minimum-norm-shallow-denoisers-look-in-function-space-2311.06748</loc><lastmod>2024-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-do-minimum-norm-shallow-denoisers-look-in-function-space-2311.06748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-do-minimum-norm-shallow-denoisers-look-in-function-space-2311.06748"/></url>
<url><loc>https://scifaro.com/en/abs/a-pac-bayesian-perspective-on-the-interpolating-information-criterion-2311.07013</loc><lastmod>2023-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-pac-bayesian-perspective-on-the-interpolating-information-criterion-2311.07013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-pac-bayesian-perspective-on-the-interpolating-information-criterion-2311.07013"/></url>
<url><loc>https://scifaro.com/en/abs/towards-bounding-causal-effects-under-markov-equivalence-2311.07259</loc><lastmod>2024-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-bounding-causal-effects-under-markov-equivalence-2311.07259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-bounding-causal-effects-under-markov-equivalence-2311.07259"/></url>
<url><loc>https://scifaro.com/en/abs/arfpy-a-python-package-for-density-estimation-and-generative-modeling-with-adversarial-random-forests-2311.07366</loc><lastmod>2023-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/arfpy-a-python-package-for-density-estimation-and-generative-modeling-with-adversarial-random-forests-2311.07366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/arfpy-a-python-package-for-density-estimation-and-generative-modeling-with-adversarial-random-forests-2311.07366"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-boosting-machines-with-sparsity-maintaining-explainability-in-high-dimensional-settings-2311.07452</loc><lastmod>2023-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-boosting-machines-with-sparsity-maintaining-explainability-in-high-dimensional-settings-2311.07452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-boosting-machines-with-sparsity-maintaining-explainability-in-high-dimensional-settings-2311.07452"/></url>
<url><loc>https://scifaro.com/en/abs/a-federated-data-fusion-based-prognostic-model-for-applications-with-multi-stream-incomplete-signals-2311.07474</loc><lastmod>2024-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-federated-data-fusion-based-prognostic-model-for-applications-with-multi-stream-incomplete-signals-2311.07474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-federated-data-fusion-based-prognostic-model-for-applications-with-multi-stream-incomplete-signals-2311.07474"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-estimation-of-machine-learning-spatial-precipitation-predictions-from-satellite-data-2311.07511</loc><lastmod>2024-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-estimation-of-machine-learning-spatial-precipitation-predictions-from-satellite-data-2311.07511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-estimation-of-machine-learning-spatial-precipitation-predictions-from-satellite-data-2311.07511"/></url>
<url><loc>https://scifaro.com/en/abs/femda-a-unified-framework-for-discriminant-analysis-2311.07518</loc><lastmod>2023-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/femda-a-unified-framework-for-discriminant-analysis-2311.07518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/femda-a-unified-framework-for-discriminant-analysis-2311.07518"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-identification-of-driving-maneuver-patterns-using-a-robust-hidden-semi-markov-models-2311.07527</loc><lastmod>2023-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-identification-of-driving-maneuver-patterns-using-a-robust-hidden-semi-markov-models-2311.07527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-identification-of-driving-maneuver-patterns-using-a-robust-hidden-semi-markov-models-2311.07527"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-optical-vegetation-indices-and-biophysical-variables-for-temperate-forests-with-sentinel-1-sar-data-using-machine-learning-techniques-a-case-study-for-czechia-2311.07537</loc><lastmod>2025-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-optical-vegetation-indices-and-biophysical-variables-for-temperate-forests-with-sentinel-1-sar-data-using-machine-learning-techniques-a-case-study-for-czechia-2311.07537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-optical-vegetation-indices-and-biophysical-variables-for-temperate-forests-with-sentinel-1-sar-data-using-machine-learning-techniques-a-case-study-for-czechia-2311.07537"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-sampling-for-linear-bandits-small-ensembles-suffice-2311.08376</loc><lastmod>2025-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-sampling-for-linear-bandits-small-ensembles-suffice-2311.08376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-sampling-for-linear-bandits-small-ensembles-suffice-2311.08376"/></url>
<url><loc>https://scifaro.com/en/abs/on-semi-supervised-estimation-using-exponential-tilt-mixture-models-2311.08504</loc><lastmod>2023-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-semi-supervised-estimation-using-exponential-tilt-mixture-models-2311.08504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-semi-supervised-estimation-using-exponential-tilt-mixture-models-2311.08504"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-learning-in-wasserstein-space-2311.08549</loc><lastmod>2025-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-learning-in-wasserstein-space-2311.08549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-learning-in-wasserstein-space-2311.08549"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-low-rank-semi-nonnegative-matrix-factorization-with-frequency-regularization-for-forecasting-spatio-temporal-data-2311.08636</loc><lastmod>2024-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-low-rank-semi-nonnegative-matrix-factorization-with-frequency-regularization-for-forecasting-spatio-temporal-data-2311.08636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-low-rank-semi-nonnegative-matrix-factorization-with-frequency-regularization-for-forecasting-spatio-temporal-data-2311.08636"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-network-identification-of-limnonectes-species-and-new-class-detection-using-image-data-2311.08661</loc><lastmod>2023-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-network-identification-of-limnonectes-species-and-new-class-detection-using-image-data-2311.08661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-network-identification-of-limnonectes-species-and-new-class-detection-using-image-data-2311.08661"/></url>
<url><loc>https://scifaro.com/en/abs/are-normalizing-flows-the-key-to-unlocking-the-exponential-mechanism-2311.09200</loc><lastmod>2024-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-normalizing-flows-the-key-to-unlocking-the-exponential-mechanism-2311.09200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-normalizing-flows-the-key-to-unlocking-the-exponential-mechanism-2311.09200"/></url>
<url><loc>https://scifaro.com/en/abs/time-dependent-probabilistic-generative-models-for-disease-progression-2311.09369</loc><lastmod>2023-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-dependent-probabilistic-generative-models-for-disease-progression-2311.09369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-dependent-probabilistic-generative-models-for-disease-progression-2311.09369"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-bayesian-neural-networks-2311.09491</loc><lastmod>2024-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-bayesian-neural-networks-2311.09491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-bayesian-neural-networks-2311.09491"/></url>
<url><loc>https://scifaro.com/en/abs/score-based-generative-models-learn-manifold-like-structures-with-constrained-mixing-2311.09952</loc><lastmod>2023-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/score-based-generative-models-learn-manifold-like-structures-with-constrained-mixing-2311.09952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/score-based-generative-models-learn-manifold-like-structures-with-constrained-mixing-2311.09952"/></url>
<url><loc>https://scifaro.com/en/abs/co-data-learning-for-bayesian-additive-regression-trees-2311.09997</loc><lastmod>2024-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/co-data-learning-for-bayesian-additive-regression-trees-2311.09997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/co-data-learning-for-bayesian-additive-regression-trees-2311.09997"/></url>
<url><loc>https://scifaro.com/en/abs/online-optimization-for-network-resource-allocation-and-comparison-with-reinforcement-learning-techniques-2311.10023</loc><lastmod>2023-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-optimization-for-network-resource-allocation-and-comparison-with-reinforcement-learning-techniques-2311.10023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-optimization-for-network-resource-allocation-and-comparison-with-reinforcement-learning-techniques-2311.10023"/></url>
<url><loc>https://scifaro.com/en/abs/direct-amortized-likelihood-ratio-estimation-2311.10571</loc><lastmod>2023-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/direct-amortized-likelihood-ratio-estimation-2311.10571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/direct-amortized-likelihood-ratio-estimation-2311.10571"/></url>
<url><loc>https://scifaro.com/en/abs/exponentially-convergent-algorithms-for-supervised-matrix-factorization-2311.11182</loc><lastmod>2023-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponentially-convergent-algorithms-for-supervised-matrix-factorization-2311.11182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponentially-convergent-algorithms-for-supervised-matrix-factorization-2311.11182"/></url>
<url><loc>https://scifaro.com/en/abs/bois-bayesian-optimization-of-interconnected-systems-2311.11254</loc><lastmod>2023-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bois-bayesian-optimization-of-interconnected-systems-2311.11254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bois-bayesian-optimization-of-interconnected-systems-2311.11254"/></url>
<url><loc>https://scifaro.com/en/abs/bounds-on-representation-induced-confounding-bias-for-treatment-effect-estimation-2311.11321</loc><lastmod>2026-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounds-on-representation-induced-confounding-bias-for-treatment-effect-estimation-2311.11321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounds-on-representation-induced-confounding-bias-for-treatment-effect-estimation-2311.11321"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-locally-private-nonparametric-classification-with-public-data-2311.11369</loc><lastmod>2024-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-locally-private-nonparametric-classification-with-public-data-2311.11369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-locally-private-nonparametric-classification-with-public-data-2311.11369"/></url>
<url><loc>https://scifaro.com/en/abs/duality-of-bures-and-shape-distances-with-implications-for-comparing-neural-representations-2311.11436</loc><lastmod>2023-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/duality-of-bures-and-shape-distances-with-implications-for-comparing-neural-representations-2311.11436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/duality-of-bures-and-shape-distances-with-implications-for-comparing-neural-representations-2311.11436"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-interpolation-flows-2311.11475</loc><lastmod>2024-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-interpolation-flows-2311.11475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-interpolation-flows-2311.11475"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-neural-networks-for-tiny-machine-learning-a-comprehensive-review-2311.11883</loc><lastmod>2023-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-neural-networks-for-tiny-machine-learning-a-comprehensive-review-2311.11883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-neural-networks-for-tiny-machine-learning-a-comprehensive-review-2311.11883"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-and-mitigating-biases-in-motor-insurance-pricing-2311.11900</loc><lastmod>2024-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-and-mitigating-biases-in-motor-insurance-pricing-2311.11900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-and-mitigating-biases-in-motor-insurance-pricing-2311.11900"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-entropy-regularized-optimal-transport-maps-between-non-compactly-supported-measures-2311.11934</loc><lastmod>2023-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-entropy-regularized-optimal-transport-maps-between-non-compactly-supported-measures-2311.11934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-entropy-regularized-optimal-transport-maps-between-non-compactly-supported-measures-2311.11934"/></url>
<url><loc>https://scifaro.com/en/abs/random-fourier-signature-features-2311.12214</loc><lastmod>2024-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-fourier-signature-features-2311.12214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-fourier-signature-features-2311.12214"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-consensus-based-parallel-admm-algorithm-for-high-dimensional-regression-with-combined-regularizations-2311.12319</loc><lastmod>2023-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-consensus-based-parallel-admm-algorithm-for-high-dimensional-regression-with-combined-regularizations-2311.12319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-consensus-based-parallel-admm-algorithm-for-high-dimensional-regression-with-combined-regularizations-2311.12319"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-likelihood-free-bayesian-inference-method-based-on-sequential-neural-posterior-estimation-2311.12530</loc><lastmod>2025-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-likelihood-free-bayesian-inference-method-based-on-sequential-neural-posterior-estimation-2311.12530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-likelihood-free-bayesian-inference-method-based-on-sequential-neural-posterior-estimation-2311.12530"/></url>
<url><loc>https://scifaro.com/en/abs/non-sequential-ensemble-kalman-filtering-using-distributed-arrays-2311.12909</loc><lastmod>2023-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-sequential-ensemble-kalman-filtering-using-distributed-arrays-2311.12909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-sequential-ensemble-kalman-filtering-using-distributed-arrays-2311.12909"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-estimating-the-dimension-from-a-random-geometric-graph-2311.13059</loc><lastmod>2023-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-estimating-the-dimension-from-a-random-geometric-graph-2311.13059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-estimating-the-dimension-from-a-random-geometric-graph-2311.13059"/></url>
<url><loc>https://scifaro.com/en/abs/provably-efficient-high-dimensional-bandit-learning-with-batched-feedbacks-2311.13180</loc><lastmod>2023-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-efficient-high-dimensional-bandit-learning-with-batched-feedbacks-2311.13180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-efficient-high-dimensional-bandit-learning-with-batched-feedbacks-2311.13180"/></url>
<url><loc>https://scifaro.com/en/abs/improved-identification-accuracy-in-equation-learning-via-comprehensive-boldsymbol-r-2-elimination-and-bayesian-model-selection-2311.13265</loc><lastmod>2023-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-identification-accuracy-in-equation-learning-via-comprehensive-boldsymbol-r-2-elimination-and-bayesian-model-selection-2311.13265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-identification-accuracy-in-equation-learning-via-comprehensive-boldsymbol-r-2-elimination-and-bayesian-model-selection-2311.13265"/></url>
<url><loc>https://scifaro.com/en/abs/extracting-individual-variable-information-for-their-decoupling-direct-mutual-information-and-multi-feature-granger-causality-2311.13431</loc><lastmod>2023-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extracting-individual-variable-information-for-their-decoupling-direct-mutual-information-and-multi-feature-granger-causality-2311.13431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extracting-individual-variable-information-for-their-decoupling-direct-mutual-information-and-multi-feature-granger-causality-2311.13431"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-numerical-integration-in-reproducing-kernel-hilbert-spaces-via-leverage-scores-sampling-2311.13548</loc><lastmod>2025-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-numerical-integration-in-reproducing-kernel-hilbert-spaces-via-leverage-scores-sampling-2311.13548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-numerical-integration-in-reproducing-kernel-hilbert-spaces-via-leverage-scores-sampling-2311.13548"/></url>
<url><loc>https://scifaro.com/en/abs/stability-and-l2-penalty-in-model-averaging-2311.13827</loc><lastmod>2023-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-and-l2-penalty-in-model-averaging-2311.13827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-and-l2-penalty-in-model-averaging-2311.13827"/></url>
<url><loc>https://scifaro.com/en/abs/handling-the-non-smooth-challenge-in-tensor-svd-a-multi-objective-tensor-recovery-framework-2311.13958</loc><lastmod>2024-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/handling-the-non-smooth-challenge-in-tensor-svd-a-multi-objective-tensor-recovery-framework-2311.13958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/handling-the-non-smooth-challenge-in-tensor-svd-a-multi-objective-tensor-recovery-framework-2311.13958"/></url>
<url><loc>https://scifaro.com/en/abs/annotation-sensitivity-training-data-collection-methods-affect-model-performance-2311.14212</loc><lastmod>2024-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/annotation-sensitivity-training-data-collection-methods-affect-model-performance-2311.14212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/annotation-sensitivity-training-data-collection-methods-affect-model-performance-2311.14212"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-for-zero-inflated-count-outcomes-with-an-application-to-the-drink-less-mobile-health-study-2311.14359</loc><lastmod>2024-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-for-zero-inflated-count-outcomes-with-an-application-to-the-drink-less-mobile-health-study-2311.14359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-for-zero-inflated-count-outcomes-with-an-application-to-the-drink-less-mobile-health-study-2311.14359"/></url>
<url><loc>https://scifaro.com/en/abs/fruits-feature-extraction-using-iterated-sums-for-time-series-classification-2311.14549</loc><lastmod>2023-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fruits-feature-extraction-using-iterated-sums-for-time-series-classification-2311.14549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fruits-feature-extraction-using-iterated-sums-for-time-series-classification-2311.14549"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-the-expected-l-2-error-of-an-over-parametrized-deep-neural-network-estimate-learned-by-gradient-descent-without-regularization-2311.14609</loc><lastmod>2023-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-the-expected-l-2-error-of-an-over-parametrized-deep-neural-network-estimate-learned-by-gradient-descent-without-regularization-2311.14609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-the-expected-l-2-error-of-an-over-parametrized-deep-neural-network-estimate-learned-by-gradient-descent-without-regularization-2311.14609"/></url>
<url><loc>https://scifaro.com/en/abs/deep-latent-force-models-ode-based-process-convolutions-for-bayesian-deep-learning-2311.14828</loc><lastmod>2024-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-latent-force-models-ode-based-process-convolutions-for-bayesian-deep-learning-2311.14828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-latent-force-models-ode-based-process-convolutions-for-bayesian-deep-learning-2311.14828"/></url>
<url><loc>https://scifaro.com/en/abs/selective-inference-for-changepoint-detection-by-recurrent-neural-network-2311.14964</loc><lastmod>2023-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selective-inference-for-changepoint-detection-by-recurrent-neural-network-2311.14964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selective-inference-for-changepoint-detection-by-recurrent-neural-network-2311.14964"/></url>
<url><loc>https://scifaro.com/en/abs/dirichlet-process-based-robust-clustering-using-the-median-of-means-estimator-2311.15384</loc><lastmod>2025-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dirichlet-process-based-robust-clustering-using-the-median-of-means-estimator-2311.15384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dirichlet-process-based-robust-clustering-using-the-median-of-means-estimator-2311.15384"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-approach-to-linear-bayesian-networks-2311.15610</loc><lastmod>2023-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-approach-to-linear-bayesian-networks-2311.15610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-approach-to-linear-bayesian-networks-2311.15610"/></url>
<url><loc>https://scifaro.com/en/abs/event-detection-in-time-series-universal-deep-learning-approach-2311.15654</loc><lastmod>2024-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/event-detection-in-time-series-universal-deep-learning-approach-2311.15654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/event-detection-in-time-series-universal-deep-learning-approach-2311.15654"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-likelihood-estimation-is-all-you-need-for-well-specified-covariate-shift-2311.15961</loc><lastmod>2023-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-likelihood-estimation-is-all-you-need-for-well-specified-covariate-shift-2311.15961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-likelihood-estimation-is-all-you-need-for-well-specified-covariate-shift-2311.15961"/></url>
<url><loc>https://scifaro.com/en/abs/utility-fairness-in-contextual-dynamic-pricing-with-demand-learning-2311.16528</loc><lastmod>2023-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/utility-fairness-in-contextual-dynamic-pricing-with-demand-learning-2311.16528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/utility-fairness-in-contextual-dynamic-pricing-with-demand-learning-2311.16528"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-labels-advancing-cluster-analysis-with-the-entropy-of-distance-distribution-edd-2311.16621</loc><lastmod>2023-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-labels-advancing-cluster-analysis-with-the-entropy-of-distance-distribution-edd-2311.16621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-labels-advancing-cluster-analysis-with-the-entropy-of-distance-distribution-edd-2311.16621"/></url>
<url><loc>https://scifaro.com/en/abs/symmetry-regularized-neural-ordinary-differential-equations-2311.16628</loc><lastmod>2024-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symmetry-regularized-neural-ordinary-differential-equations-2311.16628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symmetry-regularized-neural-ordinary-differential-equations-2311.16628"/></url>
<url><loc>https://scifaro.com/en/abs/opening-the-black-box-towards-inherently-interpretable-energy-data-imputation-models-using-building-physics-insight-2311.16632</loc><lastmod>2024-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/opening-the-black-box-towards-inherently-interpretable-energy-data-imputation-models-using-building-physics-insight-2311.16632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/opening-the-black-box-towards-inherently-interpretable-energy-data-imputation-models-using-building-physics-insight-2311.16632"/></url>
<url><loc>https://scifaro.com/en/abs/the-hr-calculus-enabling-information-processing-with-quaternion-algebra-2311.16771</loc><lastmod>2024-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-hr-calculus-enabling-information-processing-with-quaternion-algebra-2311.16771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-hr-calculus-enabling-information-processing-with-quaternion-algebra-2311.16771"/></url>
<url><loc>https://scifaro.com/en/abs/identifiable-feature-learning-for-spatial-data-with-nonlinear-ica-2311.16849</loc><lastmod>2023-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifiable-feature-learning-for-spatial-data-with-nonlinear-ica-2311.16849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifiable-feature-learning-for-spatial-data-with-nonlinear-ica-2311.16849"/></url>
<url><loc>https://scifaro.com/en/abs/multinomial-belief-networks-for-healthcare-data-2311.16909</loc><lastmod>2025-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multinomial-belief-networks-for-healthcare-data-2311.16909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multinomial-belief-networks-for-healthcare-data-2311.16909"/></url>
<url><loc>https://scifaro.com/en/abs/using-ornstein-uhlenbeck-process-to-understand-denoising-diffusion-probabilistic-model-and-its-noise-schedules-2311.17673</loc><lastmod>2023-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-ornstein-uhlenbeck-process-to-understand-denoising-diffusion-probabilistic-model-and-its-noise-schedules-2311.17673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-ornstein-uhlenbeck-process-to-understand-denoising-diffusion-probabilistic-model-and-its-noise-schedules-2311.17673"/></url>
<url><loc>https://scifaro.com/en/abs/unified-binary-and-multiclass-margin-based-classification-2311.17778</loc><lastmod>2024-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unified-binary-and-multiclass-margin-based-classification-2311.17778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unified-binary-and-multiclass-margin-based-classification-2311.17778"/></url>
<url><loc>https://scifaro.com/en/abs/are-ensembles-getting-better-all-the-time-2311.17885</loc><lastmod>2026-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-ensembles-getting-better-all-the-time-2311.17885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-ensembles-getting-better-all-the-time-2311.17885"/></url>
<url><loc>https://scifaro.com/en/abs/semiparametric-efficient-inference-in-adaptive-experiments-2311.18274</loc><lastmod>2024-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semiparametric-efficient-inference-in-adaptive-experiments-2311.18274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semiparametric-efficient-inference-in-adaptive-experiments-2311.18274"/></url>
<url><loc>https://scifaro.com/en/abs/global-convergence-of-online-identification-for-mixed-linear-regression-2311.18506</loc><lastmod>2023-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-convergence-of-online-identification-for-mixed-linear-regression-2311.18506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-convergence-of-online-identification-for-mixed-linear-regression-2311.18506"/></url>
<url><loc>https://scifaro.com/en/abs/targeted-reduction-of-causal-models-2311.18639</loc><lastmod>2024-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/targeted-reduction-of-causal-models-2311.18639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/targeted-reduction-of-causal-models-2311.18639"/></url>
<url><loc>https://scifaro.com/en/abs/choosing-the-parameter-of-the-fermat-distance-navigating-geometry-and-noise-2311.18663</loc><lastmod>2023-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/choosing-the-parameter-of-the-fermat-distance-navigating-geometry-and-noise-2311.18663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/choosing-the-parameter-of-the-fermat-distance-navigating-geometry-and-noise-2311.18663"/></url>
<url><loc>https://scifaro.com/en/abs/balancing-summarization-and-change-detection-in-graph-streams-2311.18694</loc><lastmod>2023-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balancing-summarization-and-change-detection-in-graph-streams-2311.18694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balancing-summarization-and-change-detection-in-graph-streams-2311.18694"/></url>
<url><loc>https://scifaro.com/en/abs/is-inverse-reinforcement-learning-harder-than-standard-reinforcement-learning-a-theoretical-perspective-2312.00054</loc><lastmod>2024-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-inverse-reinforcement-learning-harder-than-standard-reinforcement-learning-a-theoretical-perspective-2312.00054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-inverse-reinforcement-learning-harder-than-standard-reinforcement-learning-a-theoretical-perspective-2312.00054"/></url>
<url><loc>https://scifaro.com/en/abs/from-mutual-information-to-expected-dynamics-new-generalization-bounds-for-heavy-tailed-sgd-2312.00427</loc><lastmod>2023-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-mutual-information-to-expected-dynamics-new-generalization-bounds-for-heavy-tailed-sgd-2312.00427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-mutual-information-to-expected-dynamics-new-generalization-bounds-for-heavy-tailed-sgd-2312.00427"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-robust-learning-using-latent-bernoulli-variables-2312.00585</loc><lastmod>2024-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-robust-learning-using-latent-bernoulli-variables-2312.00585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-robust-learning-using-latent-bernoulli-variables-2312.00585"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-meta-learning-with-gaussian-processes-2312.00742</loc><lastmod>2023-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-meta-learning-with-gaussian-processes-2312.00742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-meta-learning-with-gaussian-processes-2312.00742"/></url>
<url><loc>https://scifaro.com/en/abs/nash-learning-from-human-feedback-2312.00886</loc><lastmod>2024-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nash-learning-from-human-feedback-2312.00886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nash-learning-from-human-feedback-2312.00886"/></url>
<url><loc>https://scifaro.com/en/abs/convergences-for-minimax-optimization-problems-over-infinite-dimensional-spaces-towards-stability-in-adversarial-training-2312.00991</loc><lastmod>2023-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergences-for-minimax-optimization-problems-over-infinite-dimensional-spaces-towards-stability-in-adversarial-training-2312.00991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergences-for-minimax-optimization-problems-over-infinite-dimensional-spaces-towards-stability-in-adversarial-training-2312.00991"/></url>
<url><loc>https://scifaro.com/en/abs/bagged-regularized-k-distances-for-anomaly-detection-2312.01046</loc><lastmod>2025-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bagged-regularized-k-distances-for-anomaly-detection-2312.01046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bagged-regularized-k-distances-for-anomaly-detection-2312.01046"/></url>
<url><loc>https://scifaro.com/en/abs/t-3-variational-autoencoder-learning-heavy-tailed-data-with-student-s-t-and-power-divergence-2312.01133</loc><lastmod>2024-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/t-3-variational-autoencoder-learning-heavy-tailed-data-with-student-s-t-and-power-divergence-2312.01133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/t-3-variational-autoencoder-learning-heavy-tailed-data-with-student-s-t-and-power-divergence-2312.01133"/></url>
<url><loc>https://scifaro.com/en/abs/marginal-density-ratio-for-off-policy-evaluation-in-contextual-bandits-2312.01457</loc><lastmod>2023-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marginal-density-ratio-for-off-policy-evaluation-in-contextual-bandits-2312.01457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marginal-density-ratio-for-off-policy-evaluation-in-contextual-bandits-2312.01457"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-of-active-feature-acquisition-methods-for-time-varying-feature-settings-2312.01530</loc><lastmod>2025-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-of-active-feature-acquisition-methods-for-time-varying-feature-settings-2312.01530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-of-active-feature-acquisition-methods-for-time-varying-feature-settings-2312.01530"/></url>
<url><loc>https://scifaro.com/en/abs/citytft-temporal-fusion-transformer-for-urban-building-energy-modeling-2312.02375</loc><lastmod>2023-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/citytft-temporal-fusion-transformer-for-urban-building-energy-modeling-2312.02375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/citytft-temporal-fusion-transformer-for-urban-building-energy-modeling-2312.02375"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-content-moderation-with-culturally-aware-models-2312.02401</loc><lastmod>2024-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-content-moderation-with-culturally-aware-models-2312.02401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-content-moderation-with-culturally-aware-models-2312.02401"/></url>
<url><loc>https://scifaro.com/en/abs/git-net-generalized-integral-transform-for-operator-learning-2312.02450</loc><lastmod>2023-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/git-net-generalized-integral-transform-for-operator-learning-2312.02450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/git-net-generalized-integral-transform-for-operator-learning-2312.02450"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-sparse-representation-of-barron-functions-with-the-inverse-scale-space-flow-2312.02671</loc><lastmod>2023-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-sparse-representation-of-barron-functions-with-the-inverse-scale-space-flow-2312.02671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-sparse-representation-of-barron-functions-with-the-inverse-scale-space-flow-2312.02671"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-rates-for-stochastic-approximation-biased-noise-with-unbounded-variance-and-applications-2312.02828</loc><lastmod>2024-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-rates-for-stochastic-approximation-biased-noise-with-unbounded-variance-and-applications-2312.02828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-rates-for-stochastic-approximation-biased-noise-with-unbounded-variance-and-applications-2312.02828"/></url>
<url><loc>https://scifaro.com/en/abs/a-kernel-based-neural-network-test-for-high-dimensional-sequencing-data-analysis-2312.02850</loc><lastmod>2023-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-kernel-based-neural-network-test-for-high-dimensional-sequencing-data-analysis-2312.02850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-kernel-based-neural-network-test-for-high-dimensional-sequencing-data-analysis-2312.02850"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-algorithmic-bias-in-medical-ai-models-using-trees-2312.02959</loc><lastmod>2024-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-algorithmic-bias-in-medical-ai-models-using-trees-2312.02959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-algorithmic-bias-in-medical-ai-models-using-trees-2312.02959"/></url>
<url><loc>https://scifaro.com/en/abs/low-cost-high-power-membership-inference-attacks-2312.03262</loc><lastmod>2024-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-cost-high-power-membership-inference-attacks-2312.03262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-cost-high-power-membership-inference-attacks-2312.03262"/></url>
<url><loc>https://scifaro.com/en/abs/balanced-marginal-and-joint-distributional-learning-via-mixture-cramer-wold-distance-2312.03307</loc><lastmod>2023-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balanced-marginal-and-joint-distributional-learning-via-mixture-cramer-wold-distance-2312.03307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balanced-marginal-and-joint-distributional-learning-via-mixture-cramer-wold-distance-2312.03307"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-nystrom-approximation-for-preconditioning-in-kernel-machines-2312.03311</loc><lastmod>2024-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-nystrom-approximation-for-preconditioning-in-kernel-machines-2312.03311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-nystrom-approximation-for-preconditioning-in-kernel-machines-2312.03311"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-variants-of-svm-methods-applied-to-gpr-data-to-classify-tack-coat-characteristics-in-french-pavements-two-experimental-case-studies-2312.03351</loc><lastmod>2023-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-variants-of-svm-methods-applied-to-gpr-data-to-classify-tack-coat-characteristics-in-french-pavements-two-experimental-case-studies-2312.03351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-variants-of-svm-methods-applied-to-gpr-data-to-classify-tack-coat-characteristics-in-french-pavements-two-experimental-case-studies-2312.03351"/></url>
<url><loc>https://scifaro.com/en/abs/precision-of-individual-shapley-value-explanations-2312.03485</loc><lastmod>2023-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/precision-of-individual-shapley-value-explanations-2312.03485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/precision-of-individual-shapley-value-explanations-2312.03485"/></url>
<url><loc>https://scifaro.com/en/abs/invariance-causal-representation-learning-prospects-and-limitations-2312.03580</loc><lastmod>2023-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invariance-causal-representation-learning-prospects-and-limitations-2312.03580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invariance-causal-representation-learning-prospects-and-limitations-2312.03580"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-of-active-feature-acquisition-methods-for-static-feature-settings-2312.03619</loc><lastmod>2023-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-of-active-feature-acquisition-methods-for-static-feature-settings-2312.03619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-of-active-feature-acquisition-methods-for-static-feature-settings-2312.03619"/></url>
<url><loc>https://scifaro.com/en/abs/learning-high-dimensional-differential-graphs-from-multi-attribute-data-2312.03761</loc><lastmod>2023-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-high-dimensional-differential-graphs-from-multi-attribute-data-2312.03761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-high-dimensional-differential-graphs-from-multi-attribute-data-2312.03761"/></url>
<url><loc>https://scifaro.com/en/abs/hidden-yet-quantifiable-a-lower-bound-for-confounding-strength-using-randomized-trials-2312.03871</loc><lastmod>2026-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hidden-yet-quantifiable-a-lower-bound-for-confounding-strength-using-randomized-trials-2312.03871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hidden-yet-quantifiable-a-lower-bound-for-confounding-strength-using-randomized-trials-2312.03871"/></url>
<url><loc>https://scifaro.com/en/abs/hloop-hyperbolic-2-space-local-outlier-probabilities-2312.03895</loc><lastmod>2023-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hloop-hyperbolic-2-space-local-outlier-probabilities-2312.03895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hloop-hyperbolic-2-space-local-outlier-probabilities-2312.03895"/></url>
<url><loc>https://scifaro.com/en/abs/small-area-estimation-of-case-growths-for-timely-covid-19-outbreak-detection-2312.04110</loc><lastmod>2026-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/small-area-estimation-of-case-growths-for-timely-covid-19-outbreak-detection-2312.04110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/small-area-estimation-of-case-growths-for-timely-covid-19-outbreak-detection-2312.04110"/></url>
<url><loc>https://scifaro.com/en/abs/multi-scale-residual-transformer-for-vlf-lightning-transients-classification-2312.04163</loc><lastmod>2023-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-scale-residual-transformer-for-vlf-lightning-transients-classification-2312.04163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-scale-residual-transformer-for-vlf-lightning-transients-classification-2312.04163"/></url>
<url><loc>https://scifaro.com/en/abs/coherent-energy-and-force-uncertainty-in-deep-learning-force-fields-2312.04174</loc><lastmod>2023-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coherent-energy-and-force-uncertainty-in-deep-learning-force-fields-2312.04174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coherent-energy-and-force-uncertainty-in-deep-learning-force-fields-2312.04174"/></url>
<url><loc>https://scifaro.com/en/abs/factor-assisted-federated-learning-for-personalized-optimization-with-heterogeneous-data-2312.04281</loc><lastmod>2025-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factor-assisted-federated-learning-for-personalized-optimization-with-heterogeneous-data-2312.04281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factor-assisted-federated-learning-for-personalized-optimization-with-heterogeneous-data-2312.04281"/></url>
<url><loc>https://scifaro.com/en/abs/weak-supervision-performance-evaluation-via-partial-identification-2312.04601</loc><lastmod>2024-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weak-supervision-performance-evaluation-via-partial-identification-2312.04601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weak-supervision-performance-evaluation-via-partial-identification-2312.04601"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-polynomial-chaos-expansion-based-surrogate-modeling-using-a-novel-probabilistic-transfer-learning-strategy-2312.04648</loc><lastmod>2023-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-polynomial-chaos-expansion-based-surrogate-modeling-using-a-novel-probabilistic-transfer-learning-strategy-2312.04648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-polynomial-chaos-expansion-based-surrogate-modeling-using-a-novel-probabilistic-transfer-learning-strategy-2312.04648"/></url>
<url><loc>https://scifaro.com/en/abs/unnatural-algorithms-in-machine-learning-2312.04739</loc><lastmod>2023-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unnatural-algorithms-in-machine-learning-2312.04739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unnatural-algorithms-in-machine-learning-2312.04739"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-quantification-and-propagation-in-surrogate-based-bayesian-inference-2312.05153</loc><lastmod>2026-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-quantification-and-propagation-in-surrogate-based-bayesian-inference-2312.05153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-quantification-and-propagation-in-surrogate-based-bayesian-inference-2312.05153"/></url>
<url><loc>https://scifaro.com/en/abs/the-impact-of-heteroskedasticity-on-uplift-modeling-2312.05234</loc><lastmod>2023-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-impact-of-heteroskedasticity-on-uplift-modeling-2312.05234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-impact-of-heteroskedasticity-on-uplift-modeling-2312.05234"/></url>
<url><loc>https://scifaro.com/en/abs/multi-source-domain-adaptation-for-regression-2312.05460</loc><lastmod>2023-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-source-domain-adaptation-for-regression-2312.05460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-source-domain-adaptation-for-regression-2312.05460"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-rip-guarantees-for-sketching-operators-on-mixture-models-2312.05573</loc><lastmod>2024-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-rip-guarantees-for-sketching-operators-on-mixture-models-2312.05573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-rip-guarantees-for-sketching-operators-on-mixture-models-2312.05573"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-stochastic-interpolation-for-generative-learning-2312.05579</loc><lastmod>2025-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-stochastic-interpolation-for-generative-learning-2312.05579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-stochastic-interpolation-for-generative-learning-2312.05579"/></url>
<url><loc>https://scifaro.com/en/abs/sample-optimal-locally-private-hypothesis-selection-and-the-provable-benefits-of-interactivity-2312.05645</loc><lastmod>2026-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-optimal-locally-private-hypothesis-selection-and-the-provable-benefits-of-interactivity-2312.05645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-optimal-locally-private-hypothesis-selection-and-the-provable-benefits-of-interactivity-2312.05645"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-spatially-inhomogeneous-diffusion-inference-2312.05793</loc><lastmod>2023-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-spatially-inhomogeneous-diffusion-inference-2312.05793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-spatially-inhomogeneous-diffusion-inference-2312.05793"/></url>
<url><loc>https://scifaro.com/en/abs/skew-probabilistic-neural-networks-for-learning-from-imbalanced-data-2312.05878</loc><lastmod>2025-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/skew-probabilistic-neural-networks-for-learning-from-imbalanced-data-2312.05878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/skew-probabilistic-neural-networks-for-learning-from-imbalanced-data-2312.05878"/></url>
<url><loc>https://scifaro.com/en/abs/rome-a-robust-mixed-effects-bandit-algorithm-for-optimizing-mobile-health-interventions-2312.06403</loc><lastmod>2025-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rome-a-robust-mixed-effects-bandit-algorithm-for-optimizing-mobile-health-interventions-2312.06403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rome-a-robust-mixed-effects-bandit-algorithm-for-optimizing-mobile-health-interventions-2312.06403"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-quantification-in-automated-valuation-models-with-spatially-weighted-conformal-prediction-2312.06531</loc><lastmod>2025-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-quantification-in-automated-valuation-models-with-spatially-weighted-conformal-prediction-2312.06531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-quantification-in-automated-valuation-models-with-spatially-weighted-conformal-prediction-2312.06531"/></url>
<url><loc>https://scifaro.com/en/abs/concurrent-density-estimation-with-wasserstein-autoencoders-some-statistical-insights-2312.06591</loc><lastmod>2023-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concurrent-density-estimation-with-wasserstein-autoencoders-some-statistical-insights-2312.06591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concurrent-density-estimation-with-wasserstein-autoencoders-some-statistical-insights-2312.06591"/></url>
<url><loc>https://scifaro.com/en/abs/resetting-a-fixed-broken-elbo-2312.06828</loc><lastmod>2023-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resetting-a-fixed-broken-elbo-2312.06828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resetting-a-fixed-broken-elbo-2312.06828"/></url>
<url><loc>https://scifaro.com/en/abs/towards-optimal-sobolev-norm-rates-for-the-vector-valued-regularized-least-squares-algorithm-2312.07186</loc><lastmod>2024-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-optimal-sobolev-norm-rates-for-the-vector-valued-regularized-least-squares-algorithm-2312.07186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-optimal-sobolev-norm-rates-for-the-vector-valued-regularized-least-squares-algorithm-2312.07186"/></url>
<url><loc>https://scifaro.com/en/abs/class-probability-matching-using-kernel-methods-for-label-shift-adaptation-2312.07282</loc><lastmod>2023-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/class-probability-matching-using-kernel-methods-for-label-shift-adaptation-2312.07282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/class-probability-matching-using-kernel-methods-for-label-shift-adaptation-2312.07282"/></url>
<url><loc>https://scifaro.com/en/abs/distributional-bellman-operators-over-mean-embeddings-2312.07358</loc><lastmod>2024-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributional-bellman-operators-over-mean-embeddings-2312.07358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributional-bellman-operators-over-mean-embeddings-2312.07358"/></url>
<url><loc>https://scifaro.com/en/abs/wiener-chaos-in-kernel-regression-towards-untangling-aleatoric-and-epistemic-uncertainty-2312.07387</loc><lastmod>2024-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wiener-chaos-in-kernel-regression-towards-untangling-aleatoric-and-epistemic-uncertainty-2312.07387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wiener-chaos-in-kernel-regression-towards-untangling-aleatoric-and-epistemic-uncertainty-2312.07387"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-to-calibrate-gaussian-processes-with-deep-kernels-for-regression-uncertainty-estimation-2312.07952</loc><lastmod>2023-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-to-calibrate-gaussian-processes-with-deep-kernels-for-regression-uncertainty-estimation-2312.07952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-to-calibrate-gaussian-processes-with-deep-kernels-for-regression-uncertainty-estimation-2312.07952"/></url>
<url><loc>https://scifaro.com/en/abs/training-of-neural-networks-with-uncertain-data-a-mixture-of-experts-approach-2312.08083</loc><lastmod>2024-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-of-neural-networks-with-uncertain-data-a-mixture-of-experts-approach-2312.08083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-of-neural-networks-with-uncertain-data-a-mixture-of-experts-approach-2312.08083"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-gradient-flow-based-on-the-sliced-wasserstein-distance-2312.08227</loc><lastmod>2025-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-gradient-flow-based-on-the-sliced-wasserstein-distance-2312.08227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-gradient-flow-based-on-the-sliced-wasserstein-distance-2312.08227"/></url>
<url><loc>https://scifaro.com/en/abs/emph-lifted-rdt-based-capacity-analysis-of-the-1-hidden-layer-treelike-emph-sign-perceptrons-neural-networks-2312.08257</loc><lastmod>2023-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emph-lifted-rdt-based-capacity-analysis-of-the-1-hidden-layer-treelike-emph-sign-perceptrons-neural-networks-2312.08257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emph-lifted-rdt-based-capacity-analysis-of-the-1-hidden-layer-treelike-emph-sign-perceptrons-neural-networks-2312.08257"/></url>
<url><loc>https://scifaro.com/en/abs/the-effective-horizon-explains-deep-rl-performance-in-stochastic-environments-2312.08369</loc><lastmod>2024-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-effective-horizon-explains-deep-rl-performance-in-stochastic-environments-2312.08369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-effective-horizon-explains-deep-rl-performance-in-stochastic-environments-2312.08369"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-estimation-of-time-dependent-parameters-in-markov-models-with-application-to-nonlinear-regression-and-sdes-2312.08493</loc><lastmod>2023-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-estimation-of-time-dependent-parameters-in-markov-models-with-application-to-nonlinear-regression-and-sdes-2312.08493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-estimation-of-time-dependent-parameters-in-markov-models-with-application-to-nonlinear-regression-and-sdes-2312.08493"/></url>
<url><loc>https://scifaro.com/en/abs/fair-clustering-a-causal-perspective-2312.09061</loc><lastmod>2023-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-clustering-a-causal-perspective-2312.09061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-clustering-a-causal-perspective-2312.09061"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-epidemic-spread-a-gaussian-process-regression-approach-2312.09384</loc><lastmod>2025-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-epidemic-spread-a-gaussian-process-regression-approach-2312.09384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-epidemic-spread-a-gaussian-process-regression-approach-2312.09384"/></url>
<url><loc>https://scifaro.com/en/abs/vectorizing-string-entries-for-data-processing-on-tables-when-are-larger-language-models-better-2312.09634</loc><lastmod>2023-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vectorizing-string-entries-for-data-processing-on-tables-when-are-larger-language-models-better-2312.09634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vectorizing-string-entries-for-data-processing-on-tables-when-are-larger-language-models-better-2312.09634"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-learning-of-the-purkinje-network-from-the-electrocardiogram-2312.09887</loc><lastmod>2023-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-learning-of-the-purkinje-network-from-the-electrocardiogram-2312.09887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-learning-of-the-purkinje-network-from-the-electrocardiogram-2312.09887"/></url>
<url><loc>https://scifaro.com/en/abs/nearest-neighbor-sampling-for-covariate-shift-adaptation-2312.09969</loc><lastmod>2024-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearest-neighbor-sampling-for-covariate-shift-adaptation-2312.09969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearest-neighbor-sampling-for-covariate-shift-adaptation-2312.09969"/></url>
<url><loc>https://scifaro.com/en/abs/robust-estimation-of-causal-heteroscedastic-noise-models-2312.10102</loc><lastmod>2023-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-estimation-of-causal-heteroscedastic-noise-models-2312.10102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-estimation-of-causal-heteroscedastic-noise-models-2312.10102"/></url>
<url><loc>https://scifaro.com/en/abs/random-models-for-fuzzy-clustering-similarity-measures-2312.10270</loc><lastmod>2025-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-models-for-fuzzy-clustering-similarity-measures-2312.10270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-models-for-fuzzy-clustering-similarity-measures-2312.10270"/></url>
<url><loc>https://scifaro.com/en/abs/random-forest-variable-importance-based-selection-algorithm-in-class-imbalance-problem-2312.10573</loc><lastmod>2023-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-forest-variable-importance-based-selection-algorithm-in-class-imbalance-problem-2312.10573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-forest-variable-importance-based-selection-algorithm-in-class-imbalance-problem-2312.10573"/></url>
<url><loc>https://scifaro.com/en/abs/effectiveness-of-constant-stepsize-in-markovian-lsa-and-statistical-inference-2312.10894</loc><lastmod>2023-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effectiveness-of-constant-stepsize-in-markovian-lsa-and-statistical-inference-2312.10894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effectiveness-of-constant-stepsize-in-markovian-lsa-and-statistical-inference-2312.10894"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-collapsed-gibbs-sampler-for-dirichlet-process-mixture-models-in-federated-learning-2312.11169</loc><lastmod>2023-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-collapsed-gibbs-sampler-for-dirichlet-process-mixture-models-in-federated-learning-2312.11169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-collapsed-gibbs-sampler-for-dirichlet-process-mixture-models-in-federated-learning-2312.11169"/></url>
<url><loc>https://scifaro.com/en/abs/dirichlet-based-uncertainty-quantification-for-personalized-federated-learning-with-improved-posterior-networks-2312.11230</loc><lastmod>2023-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dirichlet-based-uncertainty-quantification-for-personalized-federated-learning-with-improved-posterior-networks-2312.11230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dirichlet-based-uncertainty-quantification-for-personalized-federated-learning-with-improved-posterior-networks-2312.11230"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-and-characterization-of-fine-particulate-matter-dynamics-in-bujumbura-using-low-cost-sensors-2312.12003</loc><lastmod>2023-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-and-characterization-of-fine-particulate-matter-dynamics-in-bujumbura-using-low-cost-sensors-2312.12003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-and-characterization-of-fine-particulate-matter-dynamics-in-bujumbura-using-low-cost-sensors-2312.12003"/></url>
<url><loc>https://scifaro.com/en/abs/lightgcnet-a-lightweight-geometric-constructive-neural-network-for-data-driven-soft-sensors-2312.12022</loc><lastmod>2023-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lightgcnet-a-lightweight-geometric-constructive-neural-network-for-data-driven-soft-sensors-2312.12022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lightgcnet-a-lightweight-geometric-constructive-neural-network-for-data-driven-soft-sensors-2312.12022"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-non-linear-effects-with-neural-networks-in-relational-event-models-2312.12357</loc><lastmod>2023-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-non-linear-effects-with-neural-networks-in-relational-event-models-2312.12357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-non-linear-effects-with-neural-networks-in-relational-event-models-2312.12357"/></url>
<url><loc>https://scifaro.com/en/abs/online-variational-sequential-monte-carlo-2312.12616</loc><lastmod>2024-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-variational-sequential-monte-carlo-2312.12616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-variational-sequential-monte-carlo-2312.12616"/></url>
<url><loc>https://scifaro.com/en/abs/learning-performance-maximizing-ensembles-with-explainability-guarantees-2312.12715</loc><lastmod>2026-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-performance-maximizing-ensembles-with-explainability-guarantees-2312.12715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-performance-maximizing-ensembles-with-explainability-guarantees-2312.12715"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-dependent-rates-for-multi-distribution-learning-2312.13130</loc><lastmod>2026-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-dependent-rates-for-multi-distribution-learning-2312.13130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-dependent-rates-for-multi-distribution-learning-2312.13130"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-regularised-ntk-dynamics-with-an-application-to-pac-bayesian-training-2312.13259</loc><lastmod>2023-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-regularised-ntk-dynamics-with-an-application-to-pac-bayesian-training-2312.13259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-regularised-ntk-dynamics-with-an-application-to-pac-bayesian-training-2312.13259"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-trade-offs-in-privacy-utility-and-computational-efficiency-through-multistage-sampling-technique-must-2312.13389</loc><lastmod>2024-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-trade-offs-in-privacy-utility-and-computational-efficiency-through-multistage-sampling-technique-must-2312.13389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-trade-offs-in-privacy-utility-and-computational-efficiency-through-multistage-sampling-technique-must-2312.13389"/></url>
<url><loc>https://scifaro.com/en/abs/consistent-long-term-forecasting-of-ergodic-dynamical-systems-2312.13426</loc><lastmod>2023-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-long-term-forecasting-of-ergodic-dynamical-systems-2312.13426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-long-term-forecasting-of-ergodic-dynamical-systems-2312.13426"/></url>
<url><loc>https://scifaro.com/en/abs/independent-mechanism-analysis-and-the-manifold-hypothesis-2312.13438</loc><lastmod>2023-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/independent-mechanism-analysis-and-the-manifold-hypothesis-2312.13438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/independent-mechanism-analysis-and-the-manifold-hypothesis-2312.13438"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-transfer-learning-2312.13484</loc><lastmod>2023-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-transfer-learning-2312.13484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-transfer-learning-2312.13484"/></url>
<url><loc>https://scifaro.com/en/abs/best-arm-identification-in-batched-multi-armed-bandit-problems-2312.13875</loc><lastmod>2023-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/best-arm-identification-in-batched-multi-armed-bandit-problems-2312.13875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/best-arm-identification-in-batched-multi-armed-bandit-problems-2312.13875"/></url>
<url><loc>https://scifaro.com/en/abs/adammcmc-combining-metropolis-adjusted-langevin-with-momentum-based-optimization-2312.14027</loc><lastmod>2024-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adammcmc-combining-metropolis-adjusted-langevin-with-momentum-based-optimization-2312.14027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adammcmc-combining-metropolis-adjusted-langevin-with-momentum-based-optimization-2312.14027"/></url>
<url><loc>https://scifaro.com/en/abs/learned-reconstruction-methods-for-inverse-problems-sample-error-estimates-2312.14078</loc><lastmod>2023-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learned-reconstruction-methods-for-inverse-problems-sample-error-estimates-2312.14078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learned-reconstruction-methods-for-inverse-problems-sample-error-estimates-2312.14078"/></url>
<url><loc>https://scifaro.com/en/abs/fast-kernel-half-space-depth-for-data-with-non-convex-supports-2312.14136</loc><lastmod>2023-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-kernel-half-space-depth-for-data-with-non-convex-supports-2312.14136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-kernel-half-space-depth-for-data-with-non-convex-supports-2312.14136"/></url>
<url><loc>https://scifaro.com/en/abs/on-support-vector-machines-under-a-multiple-cost-scenario-2312.14795</loc><lastmod>2023-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-support-vector-machines-under-a-multiple-cost-scenario-2312.14795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-support-vector-machines-under-a-multiple-cost-scenario-2312.14795"/></url>
<url><loc>https://scifaro.com/en/abs/on-rate-optimal-partitioning-classification-from-observable-and-from-privatised-data-2312.14889</loc><lastmod>2025-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-rate-optimal-partitioning-classification-from-observable-and-from-privatised-data-2312.14889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-rate-optimal-partitioning-classification-from-observable-and-from-privatised-data-2312.14889"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-higher-order-statistics-efficiently-hypothesis-tests-random-features-and-neural-networks-2312.14922</loc><lastmod>2024-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-higher-order-statistics-efficiently-hypothesis-tests-random-features-and-neural-networks-2312.14922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-higher-order-statistics-efficiently-hypothesis-tests-random-features-and-neural-networks-2312.14922"/></url>
<url><loc>https://scifaro.com/en/abs/causal-forecasting-for-pricing-2312.15282</loc><lastmod>2024-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-forecasting-for-pricing-2312.15282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-forecasting-for-pricing-2312.15282"/></url>
<url><loc>https://scifaro.com/en/abs/adaml-a-fast-adaptive-gradient-method-incorporating-loss-function-2312.15295</loc><lastmod>2023-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaml-a-fast-adaptive-gradient-method-incorporating-loss-function-2312.15295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaml-a-fast-adaptive-gradient-method-incorporating-loss-function-2312.15295"/></url>
<url><loc>https://scifaro.com/en/abs/conservative-exploration-for-policy-optimization-via-off-policy-policy-evaluation-2312.15458</loc><lastmod>2023-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conservative-exploration-for-policy-optimization-via-off-policy-policy-evaluation-2312.15458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conservative-exploration-for-policy-optimization-via-off-policy-policy-evaluation-2312.15458"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-estimation-of-the-central-mean-subspace-via-smoothed-gradient-outer-products-2312.15469</loc><lastmod>2024-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-estimation-of-the-central-mean-subspace-via-smoothed-gradient-outer-products-2312.15469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-estimation-of-the-central-mean-subspace-via-smoothed-gradient-outer-products-2312.15469"/></url>
<url><loc>https://scifaro.com/en/abs/deep-copula-based-survival-analysis-for-dependent-censoring-with-identifiability-guarantees-2312.15566</loc><lastmod>2024-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-copula-based-survival-analysis-for-dependent-censoring-with-identifiability-guarantees-2312.15566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-copula-based-survival-analysis-for-dependent-censoring-with-identifiability-guarantees-2312.15566"/></url>
<url><loc>https://scifaro.com/en/abs/zero-inflated-bandits-2312.15595</loc><lastmod>2025-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-inflated-bandits-2312.15595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-inflated-bandits-2312.15595"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-conformal-prediction-under-data-heterogeneity-2312.15799</loc><lastmod>2024-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-conformal-prediction-under-data-heterogeneity-2312.15799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-conformal-prediction-under-data-heterogeneity-2312.15799"/></url>
<url><loc>https://scifaro.com/en/abs/survival-analysis-with-adversarial-regularization-2312.16019</loc><lastmod>2025-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survival-analysis-with-adversarial-regularization-2312.16019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survival-analysis-with-adversarial-regularization-2312.16019"/></url>
<url><loc>https://scifaro.com/en/abs/harnessing-the-power-of-federated-learning-in-federated-contextual-bandits-2312.16341</loc><lastmod>2024-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/harnessing-the-power-of-federated-learning-in-federated-contextual-bandits-2312.16341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/harnessing-the-power-of-federated-learning-in-federated-contextual-bandits-2312.16341"/></url>
<url><loc>https://scifaro.com/en/abs/fl-rdt-based-ultimate-lowering-of-the-negative-spherical-perceptron-capacity-2312.16531</loc><lastmod>2023-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fl-rdt-based-ultimate-lowering-of-the-negative-spherical-perceptron-capacity-2312.16531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fl-rdt-based-ultimate-lowering-of-the-negative-spherical-perceptron-capacity-2312.16531"/></url>
<url><loc>https://scifaro.com/en/abs/joint-empirical-risk-minimization-for-instance-dependent-positive-unlabeled-data-2312.16557</loc><lastmod>2023-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-empirical-risk-minimization-for-instance-dependent-positive-unlabeled-data-2312.16557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-empirical-risk-minimization-for-instance-dependent-positive-unlabeled-data-2312.16557"/></url>
<url><loc>https://scifaro.com/en/abs/online-tensor-inference-2312.17111</loc><lastmod>2026-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-tensor-inference-2312.17111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-tensor-inference-2312.17111"/></url>
<url><loc>https://scifaro.com/en/abs/function-space-regularization-in-neural-networks-a-probabilistic-perspective-2312.17162</loc><lastmod>2023-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/function-space-regularization-in-neural-networks-a-probabilistic-perspective-2312.17162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/function-space-regularization-in-neural-networks-a-probabilistic-perspective-2312.17162"/></url>
<url><loc>https://scifaro.com/en/abs/non-vacuous-generalization-bounds-for-large-language-models-2312.17173</loc><lastmod>2024-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-vacuous-generalization-bounds-for-large-language-models-2312.17173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-vacuous-generalization-bounds-for-large-language-models-2312.17173"/></url>
<url><loc>https://scifaro.com/en/abs/tractable-function-space-variational-inference-in-bayesian-neural-networks-2312.17199</loc><lastmod>2023-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tractable-function-space-variational-inference-in-bayesian-neural-networks-2312.17199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tractable-function-space-variational-inference-in-bayesian-neural-networks-2312.17199"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-via-sequential-function-space-variational-inference-2312.17210</loc><lastmod>2023-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-via-sequential-function-space-variational-inference-2312.17210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-via-sequential-function-space-variational-inference-2312.17210"/></url>
<url><loc>https://scifaro.com/en/abs/salsa-sequential-approximate-leverage-score-algorithm-with-application-in-analyzing-big-time-series-data-2401.00122</loc><lastmod>2024-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/salsa-sequential-approximate-leverage-score-algorithm-with-application-in-analyzing-big-time-series-data-2401.00122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/salsa-sequential-approximate-leverage-score-algorithm-with-application-in-analyzing-big-time-series-data-2401.00122"/></url>
<url><loc>https://scifaro.com/en/abs/a-compact-representation-for-bayesian-neural-networks-by-removing-permutation-symmetry-2401.00611</loc><lastmod>2024-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-compact-representation-for-bayesian-neural-networks-by-removing-permutation-symmetry-2401.00611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-compact-representation-for-bayesian-neural-networks-by-removing-permutation-symmetry-2401.00611"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-descent-for-nonparametric-additive-regression-2401.00691</loc><lastmod>2026-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-descent-for-nonparametric-additive-regression-2401.00691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-descent-for-nonparametric-additive-regression-2401.00691"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayes-chernoff-bounds-for-unbounded-losses-2401.01148</loc><lastmod>2024-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayes-chernoff-bounds-for-unbounded-losses-2401.01148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayes-chernoff-bounds-for-unbounded-losses-2401.01148"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-sparse-least-absolute-deviation-regression-with-differential-privacy-2401.01294</loc><lastmod>2024-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-sparse-least-absolute-deviation-regression-with-differential-privacy-2401.01294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-sparse-least-absolute-deviation-regression-with-differential-privacy-2401.01294"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-the-hurst-parameter-of-linear-fractional-processes-and-assessing-its-reliability-2401.01789</loc><lastmod>2024-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-the-hurst-parameter-of-linear-fractional-processes-and-assessing-its-reliability-2401.01789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-the-hurst-parameter-of-linear-fractional-processes-and-assessing-its-reliability-2401.01789"/></url>
<url><loc>https://scifaro.com/en/abs/u-trustworthy-models-reliability-competence-and-confidence-in-decision-making-2401.02062</loc><lastmod>2024-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/u-trustworthy-models-reliability-competence-and-confidence-in-decision-making-2401.02062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/u-trustworthy-models-reliability-competence-and-confidence-in-decision-making-2401.02062"/></url>
<url><loc>https://scifaro.com/en/abs/robust-bilinear-factor-analysis-based-on-the-matrix-variate-t-distribution-2401.02203</loc><lastmod>2024-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-bilinear-factor-analysis-based-on-the-matrix-variate-t-distribution-2401.02203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-bilinear-factor-analysis-based-on-the-matrix-variate-t-distribution-2401.02203"/></url>
<url><loc>https://scifaro.com/en/abs/simulation-based-inference-with-quantile-regression-2401.02413</loc><lastmod>2024-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulation-based-inference-with-quantile-regression-2401.02413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulation-based-inference-with-quantile-regression-2401.02413"/></url>
<url><loc>https://scifaro.com/en/abs/structured-matrix-learning-under-arbitrary-entrywise-dependence-and-estimation-of-markov-transition-kernel-2401.02520</loc><lastmod>2025-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-matrix-learning-under-arbitrary-entrywise-dependence-and-estimation-of-markov-transition-kernel-2401.02520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-matrix-learning-under-arbitrary-entrywise-dependence-and-estimation-of-markov-transition-kernel-2401.02520"/></url>
<url><loc>https://scifaro.com/en/abs/guaranteed-nonconvex-factorization-approach-for-tensor-train-recovery-2401.02592</loc><lastmod>2025-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guaranteed-nonconvex-factorization-approach-for-tensor-train-recovery-2401.02592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guaranteed-nonconvex-factorization-approach-for-tensor-train-recovery-2401.02592"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-functional-regression-by-functional-deep-neural-network-with-kernel-embedding-2401.02890</loc><lastmod>2025-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-functional-regression-by-functional-deep-neural-network-with-kernel-embedding-2401.02890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-functional-regression-by-functional-deep-neural-network-with-kernel-embedding-2401.02890"/></url>
<url><loc>https://scifaro.com/en/abs/reflected-schr-odinger-bridge-for-constrained-generative-modeling-2401.03228</loc><lastmod>2024-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reflected-schr-odinger-bridge-for-constrained-generative-modeling-2401.03228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reflected-schr-odinger-bridge-for-constrained-generative-modeling-2401.03228"/></url>
<url><loc>https://scifaro.com/en/abs/design-a-metric-robust-to-complicated-high-dimensional-noise-for-efficient-manifold-denoising-2401.03921</loc><lastmod>2024-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/design-a-metric-robust-to-complicated-high-dimensional-noise-for-efficient-manifold-denoising-2401.03921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/design-a-metric-robust-to-complicated-high-dimensional-noise-for-efficient-manifold-denoising-2401.03921"/></url>
<url><loc>https://scifaro.com/en/abs/universal-consistency-of-wide-and-deep-relu-neural-networks-and-minimax-optimal-convergence-rates-for-kolmogorov-donoho-optimal-function-classes-2401.04286</loc><lastmod>2024-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-consistency-of-wide-and-deep-relu-neural-networks-and-minimax-optimal-convergence-rates-for-kolmogorov-donoho-optimal-function-classes-2401.04286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-consistency-of-wide-and-deep-relu-neural-networks-and-minimax-optimal-convergence-rates-for-kolmogorov-donoho-optimal-function-classes-2401.04286"/></url>
<url><loc>https://scifaro.com/en/abs/stable-generative-modeling-using-schr-odinger-bridges-2401.04372</loc><lastmod>2024-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-generative-modeling-using-schr-odinger-bridges-2401.04372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-generative-modeling-using-schr-odinger-bridges-2401.04372"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-deep-sobolev-regression-estimation-and-variable-selection-by-requ-neural-network-2401.04535</loc><lastmod>2025-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-deep-sobolev-regression-estimation-and-variable-selection-by-requ-neural-network-2401.04535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-deep-sobolev-regression-estimation-and-variable-selection-by-requ-neural-network-2401.04535"/></url>
<url><loc>https://scifaro.com/en/abs/linear-recursive-feature-machines-provably-recover-low-rank-matrices-2401.04553</loc><lastmod>2024-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-recursive-feature-machines-provably-recover-low-rank-matrices-2401.04553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-recursive-feature-machines-provably-recover-low-rank-matrices-2401.04553"/></url>
<url><loc>https://scifaro.com/en/abs/generative-neural-networks-for-characteristic-functions-2401.04778</loc><lastmod>2024-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-neural-networks-for-characteristic-functions-2401.04778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-neural-networks-for-characteristic-functions-2401.04778"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-correctness-of-the-generalized-isotonic-recursive-partitioning-algorithm-2401.04847</loc><lastmod>2024-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-correctness-of-the-generalized-isotonic-recursive-partitioning-algorithm-2401.04847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-correctness-of-the-generalized-isotonic-recursive-partitioning-algorithm-2401.04847"/></url>
<url><loc>https://scifaro.com/en/abs/feature-network-methods-in-machine-learning-and-applications-2401.04874</loc><lastmod>2024-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-network-methods-in-machine-learning-and-applications-2401.04874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-network-methods-in-machine-learning-and-applications-2401.04874"/></url>
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<url><loc>https://scifaro.com/en/abs/boosting-causal-additive-models-2401.06523</loc><lastmod>2024-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-causal-additive-models-2401.06523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-causal-additive-models-2401.06523"/></url>
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<url><loc>https://scifaro.com/en/abs/estimation-of-partially-known-gaussian-graphical-models-with-score-based-structural-priors-2401.14340</loc><lastmod>2024-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-partially-known-gaussian-graphical-models-with-score-based-structural-priors-2401.14340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-partially-known-gaussian-graphical-models-with-score-based-structural-priors-2401.14340"/></url>
<url><loc>https://scifaro.com/en/abs/p3ls-partial-least-squares-under-privacy-preservation-2401.14884</loc><lastmod>2024-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/p3ls-partial-least-squares-under-privacy-preservation-2401.14884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/p3ls-partial-least-squares-under-privacy-preservation-2401.14884"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-group-dynamics-in-coordinated-time-series-via-hierarchical-recurrent-switching-state-models-2401.14973</loc><lastmod>2025-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-group-dynamics-in-coordinated-time-series-via-hierarchical-recurrent-switching-state-models-2401.14973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-group-dynamics-in-coordinated-time-series-via-hierarchical-recurrent-switching-state-models-2401.14973"/></url>
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<url><loc>https://scifaro.com/en/abs/differentially-private-bayesian-tests-2401.15502</loc><lastmod>2025-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-bayesian-tests-2401.15502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-bayesian-tests-2401.15502"/></url>
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<url><loc>https://scifaro.com/en/abs/improving-kernel-based-nonasymptotic-simultaneous-confidence-bands-2401.15791</loc><lastmod>2024-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-kernel-based-nonasymptotic-simultaneous-confidence-bands-2401.15791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-kernel-based-nonasymptotic-simultaneous-confidence-bands-2401.15791"/></url>
<url><loc>https://scifaro.com/en/abs/sample-complexity-of-the-sign-perturbed-sums-identification-method-scalar-case-2401.15792</loc><lastmod>2024-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-complexity-of-the-sign-perturbed-sums-identification-method-scalar-case-2401.15792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-complexity-of-the-sign-perturbed-sums-identification-method-scalar-case-2401.15792"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-significance-of-feature-importance-rankings-2401.15800</loc><lastmod>2025-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-significance-of-feature-importance-rankings-2401.15800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-significance-of-feature-importance-rankings-2401.15800"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-statistical-properties-of-generative-adversarial-models-for-low-intrinsic-data-dimension-2401.15801</loc><lastmod>2025-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-statistical-properties-of-generative-adversarial-models-for-low-intrinsic-data-dimension-2401.15801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-statistical-properties-of-generative-adversarial-models-for-low-intrinsic-data-dimension-2401.15801"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-markov-chain-monte-carlo-sampling-based-on-the-alternating-direction-method-of-multipliers-2401.15838</loc><lastmod>2024-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-markov-chain-monte-carlo-sampling-based-on-the-alternating-direction-method-of-multipliers-2401.15838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-markov-chain-monte-carlo-sampling-based-on-the-alternating-direction-method-of-multipliers-2401.15838"/></url>
<url><loc>https://scifaro.com/en/abs/sliced-wasserstein-with-random-path-projecting-directions-2401.15889</loc><lastmod>2024-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sliced-wasserstein-with-random-path-projecting-directions-2401.15889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sliced-wasserstein-with-random-path-projecting-directions-2401.15889"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-guarantees-of-stochastic-recursive-gradient-in-non-convex-finite-sum-problems-2401.15890</loc><lastmod>2024-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-guarantees-of-stochastic-recursive-gradient-in-non-convex-finite-sum-problems-2401.15890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-guarantees-of-stochastic-recursive-gradient-in-non-convex-finite-sum-problems-2401.15890"/></url>
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<url><loc>https://scifaro.com/en/abs/retasa-a-nonparametric-functional-estimation-approach-for-addressing-continuous-target-shift-2401.16410</loc><lastmod>2024-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/retasa-a-nonparametric-functional-estimation-approach-for-addressing-continuous-target-shift-2401.16410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/retasa-a-nonparametric-functional-estimation-approach-for-addressing-continuous-target-shift-2401.16410"/></url>
<url><loc>https://scifaro.com/en/abs/boolean-logic-as-an-error-feedback-mechanism-2401.16418</loc><lastmod>2024-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boolean-logic-as-an-error-feedback-mechanism-2401.16418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boolean-logic-as-an-error-feedback-mechanism-2401.16418"/></url>
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<url><loc>https://scifaro.com/en/abs/rademacher-complexity-of-neural-odes-via-chen-fliess-series-2401.16655</loc><lastmod>2024-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rademacher-complexity-of-neural-odes-via-chen-fliess-series-2401.16655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rademacher-complexity-of-neural-odes-via-chen-fliess-series-2401.16655"/></url>
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<url><loc>https://scifaro.com/en/abs/causal-machine-learning-for-cost-effective-allocation-of-development-aid-2401.16986</loc><lastmod>2024-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-machine-learning-for-cost-effective-allocation-of-development-aid-2401.16986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-machine-learning-for-cost-effective-allocation-of-development-aid-2401.16986"/></url>
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<url><loc>https://scifaro.com/en/abs/scalable-higher-order-tensor-product-spline-models-2402.01090</loc><lastmod>2024-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-higher-order-tensor-product-spline-models-2402.01090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-higher-order-tensor-product-spline-models-2402.01090"/></url>
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<url><loc>https://scifaro.com/en/abs/resampling-methods-for-private-statistical-inference-2402.07131</loc><lastmod>2024-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resampling-methods-for-private-statistical-inference-2402.07131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resampling-methods-for-private-statistical-inference-2402.07131"/></url>
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<url><loc>https://scifaro.com/en/abs/improving-lsh-via-tensorized-random-projection-2402.07189</loc><lastmod>2025-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-lsh-via-tensorized-random-projection-2402.07189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-lsh-via-tensorized-random-projection-2402.07189"/></url>
<url><loc>https://scifaro.com/en/abs/self-calibrating-conformal-prediction-2402.07307</loc><lastmod>2024-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-calibrating-conformal-prediction-2402.07307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-calibrating-conformal-prediction-2402.07307"/></url>
<url><loc>https://scifaro.com/en/abs/noise-adaptive-confidence-sets-for-linear-bandits-and-application-to-bayesian-optimization-2402.07341</loc><lastmod>2024-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-adaptive-confidence-sets-for-linear-bandits-and-application-to-bayesian-optimization-2402.07341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-adaptive-confidence-sets-for-linear-bandits-and-application-to-bayesian-optimization-2402.07341"/></url>
<url><loc>https://scifaro.com/en/abs/regression-trees-for-fast-and-adaptive-prediction-intervals-2402.07357</loc><lastmod>2024-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regression-trees-for-fast-and-adaptive-prediction-intervals-2402.07357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regression-trees-for-fast-and-adaptive-prediction-intervals-2402.07357"/></url>
<url><loc>https://scifaro.com/en/abs/replicability-is-asymptotically-free-in-multi-armed-bandits-2402.07391</loc><lastmod>2025-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/replicability-is-asymptotically-free-in-multi-armed-bandits-2402.07391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/replicability-is-asymptotically-free-in-multi-armed-bandits-2402.07391"/></url>
<url><loc>https://scifaro.com/en/abs/top-k-ranking-with-a-monotone-adversary-2402.07445</loc><lastmod>2024-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/top-k-ranking-with-a-monotone-adversary-2402.07445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/top-k-ranking-with-a-monotone-adversary-2402.07445"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-flow-dynamics-of-test-risk-and-its-exact-solution-for-weak-features-2402.07626</loc><lastmod>2025-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-flow-dynamics-of-test-risk-and-its-exact-solution-for-weak-features-2402.07626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-flow-dynamics-of-test-risk-and-its-exact-solution-for-weak-features-2402.07626"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-for-heavy-tailed-sdes-through-the-fractional-fokker-planck-equation-2402.07723</loc><lastmod>2025-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-for-heavy-tailed-sdes-through-the-fractional-fokker-planck-equation-2402.07723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-for-heavy-tailed-sdes-through-the-fractional-fokker-planck-equation-2402.07723"/></url>
<url><loc>https://scifaro.com/en/abs/graph-structure-inference-with-bam-introducing-the-bilinear-attention-mechanism-2402.07735</loc><lastmod>2024-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-structure-inference-with-bam-introducing-the-bilinear-attention-mechanism-2402.07735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-structure-inference-with-bam-introducing-the-bilinear-attention-mechanism-2402.07735"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-structure-learning-for-sparse-context-specific-systems-2402.07762</loc><lastmod>2024-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-structure-learning-for-sparse-context-specific-systems-2402.07762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-structure-learning-for-sparse-context-specific-systems-2402.07762"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-mathematical-theory-for-consistency-training-in-diffusion-models-2402.07802</loc><lastmod>2024-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-mathematical-theory-for-consistency-training-in-diffusion-models-2402.07802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-mathematical-theory-for-consistency-training-in-diffusion-models-2402.07802"/></url>
<url><loc>https://scifaro.com/en/abs/nesting-particle-filters-for-experimental-design-in-dynamical-systems-2402.07868</loc><lastmod>2024-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nesting-particle-filters-for-experimental-design-in-dynamical-systems-2402.07868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nesting-particle-filters-for-experimental-design-in-dynamical-systems-2402.07868"/></url>
<url><loc>https://scifaro.com/en/abs/diffeomorphic-measure-matching-with-kernels-for-generative-modeling-2402.08077</loc><lastmod>2024-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffeomorphic-measure-matching-with-kernels-for-generative-modeling-2402.08077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffeomorphic-measure-matching-with-kernels-for-generative-modeling-2402.08077"/></url>
<url><loc>https://scifaro.com/en/abs/score-based-generative-models-break-the-curse-of-dimensionality-in-learning-a-family-of-sub-gaussian-probability-distributions-2402.08082</loc><lastmod>2024-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/score-based-generative-models-break-the-curse-of-dimensionality-in-learning-a-family-of-sub-gaussian-probability-distributions-2402.08082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/score-based-generative-models-break-the-curse-of-dimensionality-in-learning-a-family-of-sub-gaussian-probability-distributions-2402.08082"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-analysis-of-discrete-diffusion-model-exact-implementation-through-uniformization-2402.08095</loc><lastmod>2024-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-analysis-of-discrete-diffusion-model-exact-implementation-through-uniformization-2402.08095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-analysis-of-discrete-diffusion-model-exact-implementation-through-uniformization-2402.08095"/></url>
<url><loc>https://scifaro.com/en/abs/on-limitations-of-the-transformer-architecture-2402.08164</loc><lastmod>2024-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-limitations-of-the-transformer-architecture-2402.08164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-limitations-of-the-transformer-architecture-2402.08164"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-evaluation-in-markov-decision-processes-under-weak-distributional-overlap-2402.08201</loc><lastmod>2025-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-evaluation-in-markov-decision-processes-under-weak-distributional-overlap-2402.08201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-evaluation-in-markov-decision-processes-under-weak-distributional-overlap-2402.08201"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-bias-in-noisy-sgd-with-applications-to-differentially-private-training-2402.08344</loc><lastmod>2024-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-bias-in-noisy-sgd-with-applications-to-differentially-private-training-2402.08344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-bias-in-noisy-sgd-with-applications-to-differentially-private-training-2402.08344"/></url>
<url><loc>https://scifaro.com/en/abs/interacting-particle-systems-on-networks-joint-inference-of-the-network-and-the-interaction-kernel-2402.08412</loc><lastmod>2026-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interacting-particle-systems-on-networks-joint-inference-of-the-network-and-the-interaction-kernel-2402.08412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interacting-particle-systems-on-networks-joint-inference-of-the-network-and-the-interaction-kernel-2402.08412"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-operators-from-batches-of-unpaired-points-via-entropic-transport-kernels-2402.08425</loc><lastmod>2024-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-operators-from-batches-of-unpaired-points-via-entropic-transport-kernels-2402.08425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-operators-from-batches-of-unpaired-points-via-entropic-transport-kernels-2402.08425"/></url>
<url><loc>https://scifaro.com/en/abs/a-pac-bayesian-link-between-generalisation-and-flat-minima-2402.08508</loc><lastmod>2025-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-pac-bayesian-link-between-generalisation-and-flat-minima-2402.08508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-pac-bayesian-link-between-generalisation-and-flat-minima-2402.08508"/></url>
<url><loc>https://scifaro.com/en/abs/adjustment-identification-distance-a-gadjid-for-causal-structure-learning-2402.08616</loc><lastmod>2024-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adjustment-identification-distance-a-gadjid-for-causal-structure-learning-2402.08616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adjustment-identification-distance-a-gadjid-for-causal-structure-learning-2402.08616"/></url>
<url><loc>https://scifaro.com/en/abs/correction-to-wasserstein-distance-estimates-for-the-distributions-of-numerical-approximations-to-ergodic-stochastic-differential-equations-2402.08711</loc><lastmod>2024-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correction-to-wasserstein-distance-estimates-for-the-distributions-of-numerical-approximations-to-ergodic-stochastic-differential-equations-2402.08711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correction-to-wasserstein-distance-estimates-for-the-distributions-of-numerical-approximations-to-ergodic-stochastic-differential-equations-2402.08711"/></url>
<url><loc>https://scifaro.com/en/abs/corridor-geometry-in-gradient-based-optimization-2402.08818</loc><lastmod>2024-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/corridor-geometry-in-gradient-based-optimization-2402.08818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/corridor-geometry-in-gradient-based-optimization-2402.08818"/></url>
<url><loc>https://scifaro.com/en/abs/space-time-diffusion-bridge-2402.08847</loc><lastmod>2024-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/space-time-diffusion-bridge-2402.08847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/space-time-diffusion-bridge-2402.08847"/></url>
<url><loc>https://scifaro.com/en/abs/towards-robust-model-based-reinforcement-learning-against-adversarial-corruption-2402.08991</loc><lastmod>2024-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-robust-model-based-reinforcement-learning-against-adversarial-corruption-2402.08991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-robust-model-based-reinforcement-learning-against-adversarial-corruption-2402.08991"/></url>
<url><loc>https://scifaro.com/en/abs/neural-operators-meet-energy-based-theory-operator-learning-for-hamiltonian-and-dissipative-pdes-2402.09018</loc><lastmod>2024-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-operators-meet-energy-based-theory-operator-learning-for-hamiltonian-and-dissipative-pdes-2402.09018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-operators-meet-energy-based-theory-operator-learning-for-hamiltonian-and-dissipative-pdes-2402.09018"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-sum-of-gaussian-process-latent-variable-models-2402.09122</loc><lastmod>2025-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-sum-of-gaussian-process-latent-variable-models-2402.09122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-sum-of-gaussian-process-latent-variable-models-2402.09122"/></url>
<url><loc>https://scifaro.com/en/abs/connecting-algorithmic-fairness-to-quality-dimensions-in-machine-learning-in-official-statistics-and-survey-production-2402.09328</loc><lastmod>2024-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/connecting-algorithmic-fairness-to-quality-dimensions-in-machine-learning-in-official-statistics-and-survey-production-2402.09328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/connecting-algorithmic-fairness-to-quality-dimensions-in-machine-learning-in-official-statistics-and-survey-production-2402.09328"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-thresholding-linear-bandit-2402.09467</loc><lastmod>2024-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-thresholding-linear-bandit-2402.09467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-thresholding-linear-bandit-2402.09467"/></url>
<url><loc>https://scifaro.com/en/abs/oracle-efficient-differentially-private-learning-with-public-data-2402.09483</loc><lastmod>2024-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/oracle-efficient-differentially-private-learning-with-public-data-2402.09483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/oracle-efficient-differentially-private-learning-with-public-data-2402.09483"/></url>
<url><loc>https://scifaro.com/en/abs/mcmc-driven-learning-2402.09598</loc><lastmod>2024-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcmc-driven-learning-2402.09598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcmc-driven-learning-2402.09598"/></url>
<url><loc>https://scifaro.com/en/abs/conformalized-adaptive-forecasting-of-heterogeneous-trajectories-2402.09623</loc><lastmod>2024-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformalized-adaptive-forecasting-of-heterogeneous-trajectories-2402.09623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformalized-adaptive-forecasting-of-heterogeneous-trajectories-2402.09623"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-prompt-optimization-through-the-lens-of-best-arm-identification-2402.09723</loc><lastmod>2024-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-prompt-optimization-through-the-lens-of-best-arm-identification-2402.09723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-prompt-optimization-through-the-lens-of-best-arm-identification-2402.09723"/></url>
<url><loc>https://scifaro.com/en/abs/robust-svd-made-easy-a-fast-and-reliable-algorithm-for-large-scale-data-analysis-2402.09754</loc><lastmod>2024-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-svd-made-easy-a-fast-and-reliable-algorithm-for-large-scale-data-analysis-2402.09754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-svd-made-easy-a-fast-and-reliable-algorithm-for-large-scale-data-analysis-2402.09754"/></url>
<url><loc>https://scifaro.com/en/abs/closed-form-filtering-for-non-linear-systems-2402.09796</loc><lastmod>2024-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/closed-form-filtering-for-non-linear-systems-2402.09796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/closed-form-filtering-for-non-linear-systems-2402.09796"/></url>
<url><loc>https://scifaro.com/en/abs/criterion-collapse-and-loss-distribution-control-2402.09802</loc><lastmod>2024-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/criterion-collapse-and-loss-distribution-control-2402.09802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/criterion-collapse-and-loss-distribution-control-2402.09802"/></url>
<url><loc>https://scifaro.com/en/abs/negative-impact-of-heavy-tailed-uncertainty-and-error-distributions-on-the-reliability-of-calibration-statistics-for-machine-learning-regression-tasks-2402.10043</loc><lastmod>2024-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/negative-impact-of-heavy-tailed-uncertainty-and-error-distributions-on-the-reliability-of-calibration-statistics-for-machine-learning-regression-tasks-2402.10043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/negative-impact-of-heavy-tailed-uncertainty-and-error-distributions-on-the-reliability-of-calibration-statistics-for-machine-learning-regression-tasks-2402.10043"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-spiked-covariance-matrices-and-signal-propagation-in-deep-neural-networks-2402.10127</loc><lastmod>2024-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-spiked-covariance-matrices-and-signal-propagation-in-deep-neural-networks-2402.10127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-spiked-covariance-matrices-and-signal-propagation-in-deep-neural-networks-2402.10127"/></url>
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<url><loc>https://scifaro.com/en/abs/thompson-sampling-in-partially-observable-contextual-bandits-2402.10289</loc><lastmod>2024-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-in-partially-observable-contextual-bandits-2402.10289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-in-partially-observable-contextual-bandits-2402.10289"/></url>
<url><loc>https://scifaro.com/en/abs/fixed-confidence-best-arm-identification-in-the-bayesian-setting-2402.10429</loc><lastmod>2024-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fixed-confidence-best-arm-identification-in-the-bayesian-setting-2402.10429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fixed-confidence-best-arm-identification-in-the-bayesian-setting-2402.10429"/></url>
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<url><loc>https://scifaro.com/en/abs/performance-gaps-in-multi-view-clustering-under-the-nested-matrix-tensor-model-2402.10677</loc><lastmod>2024-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-gaps-in-multi-view-clustering-under-the-nested-matrix-tensor-model-2402.10677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-gaps-in-multi-view-clustering-under-the-nested-matrix-tensor-model-2402.10677"/></url>
<url><loc>https://scifaro.com/en/abs/conformalized-credal-set-predictors-2402.10723</loc><lastmod>2024-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformalized-credal-set-predictors-2402.10723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformalized-credal-set-predictors-2402.10723"/></url>
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<url><loc>https://scifaro.com/en/abs/stochastic-localization-via-iterative-posterior-sampling-2402.10758</loc><lastmod>2026-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-localization-via-iterative-posterior-sampling-2402.10758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-localization-via-iterative-posterior-sampling-2402.10758"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-low-rank-matrix-estimation-experimental-design-and-arm-set-dependent-low-rank-bandits-2402.11156</loc><lastmod>2024-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-low-rank-matrix-estimation-experimental-design-and-arm-set-dependent-low-rank-bandits-2402.11156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-low-rank-matrix-estimation-experimental-design-and-arm-set-dependent-low-rank-bandits-2402.11156"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-split-balancing-for-optimal-random-forest-2402.11228</loc><lastmod>2024-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-split-balancing-for-optimal-random-forest-2402.11228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-split-balancing-for-optimal-random-forest-2402.11228"/></url>
<url><loc>https://scifaro.com/en/abs/variational-entropy-search-for-adjusting-expected-improvement-2402.11345</loc><lastmod>2025-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-entropy-search-for-adjusting-expected-improvement-2402.11345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-entropy-search-for-adjusting-expected-improvement-2402.11345"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-density-estimation-based-on-spline-quasi-interpolation-with-applications-to-copulas-clustering-modeling-2402.11552</loc><lastmod>2024-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-density-estimation-based-on-spline-quasi-interpolation-with-applications-to-copulas-clustering-modeling-2402.11552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-density-estimation-based-on-spline-quasi-interpolation-with-applications-to-copulas-clustering-modeling-2402.11552"/></url>
<url><loc>https://scifaro.com/en/abs/learning-memory-kernels-in-generalized-langevin-equations-2402.11705</loc><lastmod>2025-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-memory-kernels-in-generalized-langevin-equations-2402.11705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-memory-kernels-in-generalized-langevin-equations-2402.11705"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-test-for-diffusion-based-anomaly-localization-via-selective-inference-2402.11789</loc><lastmod>2026-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-test-for-diffusion-based-anomaly-localization-via-selective-inference-2402.11789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-test-for-diffusion-based-anomaly-localization-via-selective-inference-2402.11789"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-hessian-fittings-with-lie-groups-2402.11858</loc><lastmod>2025-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-hessian-fittings-with-lie-groups-2402.11858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-hessian-fittings-with-lie-groups-2402.11858"/></url>
<url><loc>https://scifaro.com/en/abs/when-do-off-policy-and-on-policy-policy-gradient-methods-align-2402.12034</loc><lastmod>2024-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-do-off-policy-and-on-policy-policy-gradient-methods-align-2402.12034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-do-off-policy-and-on-policy-policy-gradient-methods-align-2402.12034"/></url>
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<url><loc>https://scifaro.com/en/abs/regularization-by-denoising-bayesian-model-and-langevin-within-split-gibbs-sampling-2402.12292</loc><lastmod>2024-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-by-denoising-bayesian-model-and-langevin-within-split-gibbs-sampling-2402.12292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-by-denoising-bayesian-model-and-langevin-within-split-gibbs-sampling-2402.12292"/></url>
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<url><loc>https://scifaro.com/en/abs/multi-class-temporal-logic-neural-networks-2402.12397</loc><lastmod>2024-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-class-temporal-logic-neural-networks-2402.12397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-class-temporal-logic-neural-networks-2402.12397"/></url>
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<url><loc>https://scifaro.com/en/abs/randomization-can-reduce-both-bias-and-variance-a-case-study-in-random-forests-2402.12668</loc><lastmod>2025-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomization-can-reduce-both-bias-and-variance-a-case-study-in-random-forests-2402.12668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomization-can-reduce-both-bias-and-variance-a-case-study-in-random-forests-2402.12668"/></url>
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<url><loc>https://scifaro.com/en/abs/physics-constrained-polynomial-chaos-expansion-for-scientific-machine-learning-and-uncertainty-quantification-2402.15115</loc><lastmod>2024-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-constrained-polynomial-chaos-expansion-for-scientific-machine-learning-and-uncertainty-quantification-2402.15115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-constrained-polynomial-chaos-expansion-for-scientific-machine-learning-and-uncertainty-quantification-2402.15115"/></url>
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<url><loc>https://scifaro.com/en/abs/learning-cyclic-causal-models-from-incomplete-data-2402.15625</loc><lastmod>2024-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-cyclic-causal-models-from-incomplete-data-2402.15625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-cyclic-causal-models-from-incomplete-data-2402.15625"/></url>
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<url><loc>https://scifaro.com/en/abs/stable-training-of-normalizing-flows-for-high-dimensional-variational-inference-2402.16408</loc><lastmod>2024-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-training-of-normalizing-flows-for-high-dimensional-variational-inference-2402.16408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-training-of-normalizing-flows-for-high-dimensional-variational-inference-2402.16408"/></url>
<url><loc>https://scifaro.com/en/abs/penalized-generative-variable-selection-2402.16661</loc><lastmod>2024-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/penalized-generative-variable-selection-2402.16661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/penalized-generative-variable-selection-2402.16661"/></url>
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<url><loc>https://scifaro.com/en/abs/rate-optimal-rank-aggregation-with-private-pairwise-rankings-2402.16792</loc><lastmod>2025-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rate-optimal-rank-aggregation-with-private-pairwise-rankings-2402.16792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rate-optimal-rank-aggregation-with-private-pairwise-rankings-2402.16792"/></url>
<url><loc>https://scifaro.com/en/abs/stopping-bayesian-optimization-with-probabilistic-regret-bounds-2402.16811</loc><lastmod>2024-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stopping-bayesian-optimization-with-probabilistic-regret-bounds-2402.16811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stopping-bayesian-optimization-with-probabilistic-regret-bounds-2402.16811"/></url>
<url><loc>https://scifaro.com/en/abs/a-phase-transition-in-diffusion-models-reveals-the-hierarchical-nature-of-data-2402.16991</loc><lastmod>2024-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-phase-transition-in-diffusion-models-reveals-the-hierarchical-nature-of-data-2402.16991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-phase-transition-in-diffusion-models-reveals-the-hierarchical-nature-of-data-2402.16991"/></url>
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<url><loc>https://scifaro.com/en/abs/out-of-distribution-robustness-for-multivariate-analysis-via-causal-regularisation-2403.01865</loc><lastmod>2025-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/out-of-distribution-robustness-for-multivariate-analysis-via-causal-regularisation-2403.01865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/out-of-distribution-robustness-for-multivariate-analysis-via-causal-regularisation-2403.01865"/></url>
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<url><loc>https://scifaro.com/en/abs/bipartite-graph-variational-auto-encoder-with-fair-latent-representation-to-account-for-sampling-bias-in-ecological-networks-2403.02011</loc><lastmod>2025-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bipartite-graph-variational-auto-encoder-with-fair-latent-representation-to-account-for-sampling-bias-in-ecological-networks-2403.02011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bipartite-graph-variational-auto-encoder-with-fair-latent-representation-to-account-for-sampling-bias-in-ecological-networks-2403.02011"/></url>
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<url><loc>https://scifaro.com/en/abs/a-prediction-rigidity-formalism-for-low-cost-uncertainties-in-trained-neural-networks-2403.02251</loc><lastmod>2024-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-prediction-rigidity-formalism-for-low-cost-uncertainties-in-trained-neural-networks-2403.02251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-prediction-rigidity-formalism-for-low-cost-uncertainties-in-trained-neural-networks-2403.02251"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-impact-of-measure-pre-conditionings-on-general-parametric-ml-models-and-transfer-learning-via-domain-adaptation-2403.02432</loc><lastmod>2024-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-impact-of-measure-pre-conditionings-on-general-parametric-ml-models-and-transfer-learning-via-domain-adaptation-2403.02432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-impact-of-measure-pre-conditionings-on-general-parametric-ml-models-and-transfer-learning-via-domain-adaptation-2403.02432"/></url>
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<url><loc>https://scifaro.com/en/abs/on-a-neural-implementation-of-brenier-s-polar-factorization-2403.03071</loc><lastmod>2025-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-a-neural-implementation-of-brenier-s-polar-factorization-2403.03071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-a-neural-implementation-of-brenier-s-polar-factorization-2403.03071"/></url>
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<url><loc>https://scifaro.com/en/abs/from-displacements-to-distributions-a-machine-learning-enabled-framework-for-quantifying-uncertainties-in-parameters-of-computational-models-2403.03233</loc><lastmod>2024-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-displacements-to-distributions-a-machine-learning-enabled-framework-for-quantifying-uncertainties-in-parameters-of-computational-models-2403.03233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-displacements-to-distributions-a-machine-learning-enabled-framework-for-quantifying-uncertainties-in-parameters-of-computational-models-2403.03233"/></url>
<url><loc>https://scifaro.com/en/abs/hypothesis-spaces-for-deep-learning-2403.03353</loc><lastmod>2025-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypothesis-spaces-for-deep-learning-2403.03353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypothesis-spaces-for-deep-learning-2403.03353"/></url>
<url><loc>https://scifaro.com/en/abs/chained-information-theoretic-bounds-and-tight-regret-rate-for-linear-bandit-problems-2403.03361</loc><lastmod>2024-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chained-information-theoretic-bounds-and-tight-regret-rate-for-linear-bandit-problems-2403.03361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chained-information-theoretic-bounds-and-tight-regret-rate-for-linear-bandit-problems-2403.03361"/></url>
<url><loc>https://scifaro.com/en/abs/cormf-criticality-ordered-recurrent-mean-field-ising-solver-2403.03391</loc><lastmod>2024-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cormf-criticality-ordered-recurrent-mean-field-ising-solver-2403.03391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cormf-criticality-ordered-recurrent-mean-field-ising-solver-2403.03391"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-algorithms-on-manifolds-through-diffusion-2403.03669</loc><lastmod>2024-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-algorithms-on-manifolds-through-diffusion-2403.03669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-algorithms-on-manifolds-through-diffusion-2403.03669"/></url>
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<url><loc>https://scifaro.com/en/abs/development-of-an-offline-and-online-hybrid-model-for-the-integrated-forecasting-system-2403.03702</loc><lastmod>2025-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/development-of-an-offline-and-online-hybrid-model-for-the-integrated-forecasting-system-2403.03702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/development-of-an-offline-and-online-hybrid-model-for-the-integrated-forecasting-system-2403.03702"/></url>
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<url><loc>https://scifaro.com/en/abs/fundamental-limits-of-non-linear-low-rank-matrix-estimation-2403.04234</loc><lastmod>2024-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fundamental-limits-of-non-linear-low-rank-matrix-estimation-2403.04234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fundamental-limits-of-non-linear-low-rank-matrix-estimation-2403.04234"/></url>
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<url><loc>https://scifaro.com/en/abs/how-does-promoting-the-minority-fraction-affect-generalization-a-theoretical-study-of-the-one-hidden-layer-neural-network-on-group-imbalance-2403.07310</loc><lastmod>2024-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-does-promoting-the-minority-fraction-affect-generalization-a-theoretical-study-of-the-one-hidden-layer-neural-network-on-group-imbalance-2403.07310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-does-promoting-the-minority-fraction-affect-generalization-a-theoretical-study-of-the-one-hidden-layer-neural-network-on-group-imbalance-2403.07310"/></url>
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<url><loc>https://scifaro.com/en/abs/function-trees-transparent-machine-learning-2403.13141</loc><lastmod>2024-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/function-trees-transparent-machine-learning-2403.13141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/function-trees-transparent-machine-learning-2403.13141"/></url>
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<url><loc>https://scifaro.com/en/abs/a-sampling-based-framework-for-hypothesis-testing-on-large-attributed-graphs-2403.13286</loc><lastmod>2025-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sampling-based-framework-for-hypothesis-testing-on-large-attributed-graphs-2403.13286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sampling-based-framework-for-hypothesis-testing-on-large-attributed-graphs-2403.13286"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-multigrid-accelerate-back-fitting-via-sparse-gaussian-process-regression-2403.13300</loc><lastmod>2024-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-multigrid-accelerate-back-fitting-via-sparse-gaussian-process-regression-2403.13300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-multigrid-accelerate-back-fitting-via-sparse-gaussian-process-regression-2403.13300"/></url>
<url><loc>https://scifaro.com/en/abs/adatrans-feature-wise-and-sample-wise-adaptive-transfer-learning-for-high-dimensional-regression-2403.13565</loc><lastmod>2024-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adatrans-feature-wise-and-sample-wise-adaptive-transfer-learning-for-high-dimensional-regression-2403.13565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adatrans-feature-wise-and-sample-wise-adaptive-transfer-learning-for-high-dimensional-regression-2403.13565"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-for-uncertainty-quantification-an-analysis-of-trade-offs-2403.13748</loc><lastmod>2025-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-for-uncertainty-quantification-an-analysis-of-trade-offs-2403.13748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-for-uncertainty-quantification-an-analysis-of-trade-offs-2403.13748"/></url>
<url><loc>https://scifaro.com/en/abs/analysing-heavy-tail-properties-of-stochastic-gradient-descent-by-means-of-stochastic-recurrence-equations-2403.13868</loc><lastmod>2024-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysing-heavy-tail-properties-of-stochastic-gradient-descent-by-means-of-stochastic-recurrence-equations-2403.13868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysing-heavy-tail-properties-of-stochastic-gradient-descent-by-means-of-stochastic-recurrence-equations-2403.13868"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-outlier-rectification-via-optimal-transport-2403.14067</loc><lastmod>2024-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-outlier-rectification-via-optimal-transport-2403.14067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-outlier-rectification-via-optimal-transport-2403.14067"/></url>
<url><loc>https://scifaro.com/en/abs/learning-causal-graphs-using-variable-grouping-according-to-ancestral-relationship-2403.14125</loc><lastmod>2025-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-causal-graphs-using-variable-grouping-according-to-ancestral-relationship-2403.14125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-causal-graphs-using-variable-grouping-according-to-ancestral-relationship-2403.14125"/></url>
<url><loc>https://scifaro.com/en/abs/posterior-concentrations-of-fully-connected-bayesian-neural-networks-with-general-priors-on-the-weights-2403.14225</loc><lastmod>2024-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/posterior-concentrations-of-fully-connected-bayesian-neural-networks-with-general-priors-on-the-weights-2403.14225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/posterior-concentrations-of-fully-connected-bayesian-neural-networks-with-general-priors-on-the-weights-2403.14225"/></url>
<url><loc>https://scifaro.com/en/abs/recovering-latent-confounders-from-high-dimensional-proxy-variables-2403.14228</loc><lastmod>2024-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovering-latent-confounders-from-high-dimensional-proxy-variables-2403.14228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovering-latent-confounders-from-high-dimensional-proxy-variables-2403.14228"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-causal-effects-with-double-machine-learning-a-method-evaluation-2403.14385</loc><lastmod>2024-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-causal-effects-with-double-machine-learning-a-method-evaluation-2403.14385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-causal-effects-with-double-machine-learning-a-method-evaluation-2403.14385"/></url>
<url><loc>https://scifaro.com/en/abs/curvature-augmented-manifold-embedding-and-learning-2403.14813</loc><lastmod>2024-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curvature-augmented-manifold-embedding-and-learning-2403.14813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curvature-augmented-manifold-embedding-and-learning-2403.14813"/></url>
<url><loc>https://scifaro.com/en/abs/non-convex-robust-hypothesis-testing-using-sinkhorn-uncertainty-sets-2403.14822</loc><lastmod>2024-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-convex-robust-hypothesis-testing-using-sinkhorn-uncertainty-sets-2403.14822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-convex-robust-hypothesis-testing-using-sinkhorn-uncertainty-sets-2403.14822"/></url>
<url><loc>https://scifaro.com/en/abs/deep-clustering-evaluation-how-to-validate-internal-clustering-validation-measures-2403.14830</loc><lastmod>2024-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-clustering-evaluation-how-to-validate-internal-clustering-validation-measures-2403.14830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-clustering-evaluation-how-to-validate-internal-clustering-validation-measures-2403.14830"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-learning-on-multimodal-analysis-of-electronic-health-records-2403.14926</loc><lastmod>2025-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-learning-on-multimodal-analysis-of-electronic-health-records-2403.14926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-learning-on-multimodal-analysis-of-electronic-health-records-2403.14926"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-multiple-mean-vectors-in-high-dimension-2403.15038</loc><lastmod>2025-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-multiple-mean-vectors-in-high-dimension-2403.15038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-multiple-mean-vectors-in-high-dimension-2403.15038"/></url>
<url><loc>https://scifaro.com/en/abs/conformal-online-model-aggregation-2403.15527</loc><lastmod>2025-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformal-online-model-aggregation-2403.15527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformal-online-model-aggregation-2403.15527"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-differentially-private-low-rank-trace-regression-with-guaranteed-private-initialization-2403.15999</loc><lastmod>2024-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-differentially-private-low-rank-trace-regression-with-guaranteed-private-initialization-2403.15999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-differentially-private-low-rank-trace-regression-with-guaranteed-private-initialization-2403.15999"/></url>
<url><loc>https://scifaro.com/en/abs/learning-directed-acyclic-graphs-from-partial-orderings-2403.16031</loc><lastmod>2024-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-directed-acyclic-graphs-from-partial-orderings-2403.16031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-directed-acyclic-graphs-from-partial-orderings-2403.16031"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-regularization-classification-model-based-on-improved-diffusion-map-2403.16059</loc><lastmod>2024-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-regularization-classification-model-based-on-improved-diffusion-map-2403.16059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-regularization-classification-model-based-on-improved-diffusion-map-2403.16059"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-inference-in-multi-environment-scenarios-2403.16336</loc><lastmod>2024-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-inference-in-multi-environment-scenarios-2403.16336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-inference-in-multi-environment-scenarios-2403.16336"/></url>
<url><loc>https://scifaro.com/en/abs/causal-discovery-from-poisson-branching-structural-causal-model-using-high-order-cumulant-with-path-analysis-2403.16523</loc><lastmod>2024-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-discovery-from-poisson-branching-structural-causal-model-using-high-order-cumulant-with-path-analysis-2403.16523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-discovery-from-poisson-branching-structural-causal-model-using-high-order-cumulant-with-path-analysis-2403.16523"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-generalization-bounds-for-losses-with-finite-moments-2403.16681</loc><lastmod>2024-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-generalization-bounds-for-losses-with-finite-moments-2403.16681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-generalization-bounds-for-losses-with-finite-moments-2403.16681"/></url>
<url><loc>https://scifaro.com/en/abs/unraveling-the-interplay-between-carryover-effects-and-reward-autocorrelations-in-switchback-experiments-2403.17285</loc><lastmod>2025-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unraveling-the-interplay-between-carryover-effects-and-reward-autocorrelations-in-switchback-experiments-2403.17285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unraveling-the-interplay-between-carryover-effects-and-reward-autocorrelations-in-switchback-experiments-2403.17285"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-bayes-risk-of-semi-supervised-learning-with-uncertain-labeling-2403.17767</loc><lastmod>2024-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-bayes-risk-of-semi-supervised-learning-with-uncertain-labeling-2403.17767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-bayes-risk-of-semi-supervised-learning-with-uncertain-labeling-2403.17767"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-optimal-fair-classification-with-bounded-demographic-disparity-2403.18216</loc><lastmod>2024-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-optimal-fair-classification-with-bounded-demographic-disparity-2403.18216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-optimal-fair-classification-with-bounded-demographic-disparity-2403.18216"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-change-sign-detection-by-fusing-mixture-complexity-2403.18269</loc><lastmod>2024-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-change-sign-detection-by-fusing-mixture-complexity-2403.18269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-change-sign-detection-by-fusing-mixture-complexity-2403.18269"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-multiple-kernel-learning-approaches-for-multi-omics-data-integration-2403.18355</loc><lastmod>2024-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-multiple-kernel-learning-approaches-for-multi-omics-data-integration-2403.18355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-multiple-kernel-learning-approaches-for-multi-omics-data-integration-2403.18355"/></url>
<url><loc>https://scifaro.com/en/abs/skscope-fast-sparsity-constrained-optimization-in-python-2403.18540</loc><lastmod>2024-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/skscope-fast-sparsity-constrained-optimization-in-python-2403.18540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/skscope-fast-sparsity-constrained-optimization-in-python-2403.18540"/></url>
<url><loc>https://scifaro.com/en/abs/steingen-generating-fidelitous-and-diverse-graph-samples-2403.18578</loc><lastmod>2024-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/steingen-generating-fidelitous-and-diverse-graph-samples-2403.18578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/steingen-generating-fidelitous-and-diverse-graph-samples-2403.18578"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-based-piecewise-survival-models-2403.18664</loc><lastmod>2024-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-based-piecewise-survival-models-2403.18664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-based-piecewise-survival-models-2403.18664"/></url>
<url><loc>https://scifaro.com/en/abs/causal-stonet-causal-inference-for-high-dimensional-complex-data-2403.18994</loc><lastmod>2024-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-stonet-causal-inference-for-high-dimensional-complex-data-2403.18994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-stonet-causal-inference-for-high-dimensional-complex-data-2403.18994"/></url>
<url><loc>https://scifaro.com/en/abs/on-uncertainty-quantification-for-near-bayes-optimal-algorithms-2403.19381</loc><lastmod>2024-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-uncertainty-quantification-for-near-bayes-optimal-algorithms-2403.19381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-uncertainty-quantification-for-near-bayes-optimal-algorithms-2403.19381"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-clustering-for-directed-graphs-via-likelihood-estimation-on-stochastic-block-models-2403.19516</loc><lastmod>2025-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-clustering-for-directed-graphs-via-likelihood-estimation-on-stochastic-block-models-2403.19516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-clustering-for-directed-graphs-via-likelihood-estimation-on-stochastic-block-models-2403.19516"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-decision-fusion-approach-for-sale-price-prediction-using-elastic-net-and-mopso-2403.20033</loc><lastmod>2024-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-decision-fusion-approach-for-sale-price-prediction-using-elastic-net-and-mopso-2403.20033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-decision-fusion-approach-for-sale-price-prediction-using-elastic-net-and-mopso-2403.20033"/></url>
<url><loc>https://scifaro.com/en/abs/functional-bilevel-optimization-for-machine-learning-2403.20233</loc><lastmod>2024-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-bilevel-optimization-for-machine-learning-2403.20233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-bilevel-optimization-for-machine-learning-2403.20233"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-policy-learning-with-observational-data-in-multi-action-scenarios-estimation-risk-preference-and-potential-failures-2403.20250</loc><lastmod>2024-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-policy-learning-with-observational-data-in-multi-action-scenarios-estimation-risk-preference-and-potential-failures-2403.20250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-policy-learning-with-observational-data-in-multi-action-scenarios-estimation-risk-preference-and-potential-failures-2403.20250"/></url>
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<url><loc>https://scifaro.com/en/abs/c-xgboost-a-tree-boosting-model-for-causal-effect-estimation-2404.00751</loc><lastmod>2024-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/c-xgboost-a-tree-boosting-model-for-causal-effect-estimation-2404.00751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/c-xgboost-a-tree-boosting-model-for-causal-effect-estimation-2404.00751"/></url>
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<url><loc>https://scifaro.com/en/abs/large-scale-non-convex-stochastic-constrained-distributionally-robust-optimization-2404.01200</loc><lastmod>2024-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-non-convex-stochastic-constrained-distributionally-robust-optimization-2404.01200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-non-convex-stochastic-constrained-distributionally-robust-optimization-2404.01200"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-guarantees-for-rmsprop-and-adam-in-generalized-smooth-non-convex-optimization-with-affine-noise-variance-2404.01436</loc><lastmod>2025-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-guarantees-for-rmsprop-and-adam-in-generalized-smooth-non-convex-optimization-with-affine-noise-variance-2404.01436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-guarantees-for-rmsprop-and-adam-in-generalized-smooth-non-convex-optimization-with-affine-noise-variance-2404.01436"/></url>
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<url><loc>https://scifaro.com/en/abs/fairm-learning-invariant-representations-for-algorithmic-fairness-and-domain-generalization-with-minimax-optimality-2404.01608</loc><lastmod>2024-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairm-learning-invariant-representations-for-algorithmic-fairness-and-domain-generalization-with-minimax-optimality-2404.01608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairm-learning-invariant-representations-for-algorithmic-fairness-and-domain-generalization-with-minimax-optimality-2404.01608"/></url>
<url><loc>https://scifaro.com/en/abs/preventing-model-collapse-in-gaussian-process-latent-variable-models-2404.01697</loc><lastmod>2024-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preventing-model-collapse-in-gaussian-process-latent-variable-models-2404.01697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preventing-model-collapse-in-gaussian-process-latent-variable-models-2404.01697"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-robust-off-policy-evaluation-with-estimated-logging-policy-2404.01830</loc><lastmod>2024-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-robust-off-policy-evaluation-with-estimated-logging-policy-2404.01830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-robust-off-policy-evaluation-with-estimated-logging-policy-2404.01830"/></url>
<url><loc>https://scifaro.com/en/abs/when-does-subagging-work-2404.01832</loc><lastmod>2024-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-does-subagging-work-2404.01832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-does-subagging-work-2404.01832"/></url>
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<url><loc>https://scifaro.com/en/abs/gaussian-process-regression-with-soft-inequality-and-monotonicity-constraints-2404.02873</loc><lastmod>2024-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-regression-with-soft-inequality-and-monotonicity-constraints-2404.02873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-regression-with-soft-inequality-and-monotonicity-constraints-2404.02873"/></url>
<url><loc>https://scifaro.com/en/abs/countarfactuals-generating-plausible-model-agnostic-counterfactual-explanations-with-adversarial-random-forests-2404.03506</loc><lastmod>2024-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/countarfactuals-generating-plausible-model-agnostic-counterfactual-explanations-with-adversarial-random-forests-2404.03506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/countarfactuals-generating-plausible-model-agnostic-counterfactual-explanations-with-adversarial-random-forests-2404.03506"/></url>
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<url><loc>https://scifaro.com/en/abs/deeplink-t-deep-learning-inference-for-time-series-data-using-knockoffs-and-lstm-2404.04317</loc><lastmod>2024-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeplink-t-deep-learning-inference-for-time-series-data-using-knockoffs-and-lstm-2404.04317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeplink-t-deep-learning-inference-for-time-series-data-using-knockoffs-and-lstm-2404.04317"/></url>
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<url><loc>https://scifaro.com/en/abs/bayesian-additive-regression-networks-2404.04425</loc><lastmod>2024-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-additive-regression-networks-2404.04425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-additive-regression-networks-2404.04425"/></url>
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<url><loc>https://scifaro.com/en/abs/on-the-optimal-regret-of-locally-private-linear-contextual-bandit-2404.09413</loc><lastmod>2024-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-optimal-regret-of-locally-private-linear-contextual-bandit-2404.09413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-optimal-regret-of-locally-private-linear-contextual-bandit-2404.09413"/></url>
<url><loc>https://scifaro.com/en/abs/a-replica-analysis-of-under-bagging-2404.09779</loc><lastmod>2025-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-replica-analysis-of-under-bagging-2404.09779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-replica-analysis-of-under-bagging-2404.09779"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-learning-for-constrained-functional-parameters-in-infinite-dimensional-models-2404.09847</loc><lastmod>2025-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-learning-for-constrained-functional-parameters-in-infinite-dimensional-models-2404.09847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-learning-for-constrained-functional-parameters-in-infinite-dimensional-models-2404.09847"/></url>
<url><loc>https://scifaro.com/en/abs/invariant-subspace-decomposition-2404.09962</loc><lastmod>2025-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invariant-subspace-decomposition-2404.09962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invariant-subspace-decomposition-2404.09962"/></url>
<url><loc>https://scifaro.com/en/abs/online-estimation-via-offline-estimation-an-information-theoretic-framework-2404.10122</loc><lastmod>2024-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-estimation-via-offline-estimation-an-information-theoretic-framework-2404.10122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-estimation-via-offline-estimation-an-information-theoretic-framework-2404.10122"/></url>
<url><loc>https://scifaro.com/en/abs/hellinger-ucb-a-novel-algorithm-for-stochastic-multi-armed-bandit-problem-and-cold-start-problem-in-recommender-system-2404.10207</loc><lastmod>2024-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hellinger-ucb-a-novel-algorithm-for-stochastic-multi-armed-bandit-problem-and-cold-start-problem-in-recommender-system-2404.10207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hellinger-ucb-a-novel-algorithm-for-stochastic-multi-armed-bandit-problem-and-cold-start-problem-in-recommender-system-2404.10207"/></url>
<url><loc>https://scifaro.com/en/abs/lighter-better-faster-multi-source-domain-adaptation-with-gaussian-mixture-models-and-optimal-transport-2404.10261</loc><lastmod>2024-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lighter-better-faster-multi-source-domain-adaptation-with-gaussian-mixture-models-and-optimal-transport-2404.10261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lighter-better-faster-multi-source-domain-adaptation-with-gaussian-mixture-models-and-optimal-transport-2404.10261"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-use-of-relative-validity-indices-for-comparing-clustering-approaches-2404.10351</loc><lastmod>2025-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-use-of-relative-validity-indices-for-comparing-clustering-approaches-2404.10351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-use-of-relative-validity-indices-for-comparing-clustering-approaches-2404.10351"/></url>
<url><loc>https://scifaro.com/en/abs/how-deep-networks-learn-sparse-and-hierarchical-data-the-sparse-random-hierarchy-model-2404.10727</loc><lastmod>2024-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-deep-networks-learn-sparse-and-hierarchical-data-the-sparse-random-hierarchy-model-2404.10727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-deep-networks-learn-sparse-and-hierarchical-data-the-sparse-random-hierarchy-model-2404.10727"/></url>
<url><loc>https://scifaro.com/en/abs/toward-understanding-the-disagreement-problem-in-neural-network-feature-attribution-2404.11330</loc><lastmod>2024-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-understanding-the-disagreement-problem-in-neural-network-feature-attribution-2404.11330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-understanding-the-disagreement-problem-in-neural-network-feature-attribution-2404.11330"/></url>
<url><loc>https://scifaro.com/en/abs/vc-theory-for-inventory-policies-2404.11509</loc><lastmod>2026-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vc-theory-for-inventory-policies-2404.11509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vc-theory-for-inventory-policies-2404.11509"/></url>
<url><loc>https://scifaro.com/en/abs/multi-fidelity-gaussian-process-surrogate-modeling-for-regression-problems-in-physics-2404.11965</loc><lastmod>2024-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-fidelity-gaussian-process-surrogate-modeling-for-regression-problems-in-physics-2404.11965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-fidelity-gaussian-process-surrogate-modeling-for-regression-problems-in-physics-2404.11965"/></url>
<url><loc>https://scifaro.com/en/abs/debiased-distribution-compression-2404.12290</loc><lastmod>2024-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/debiased-distribution-compression-2404.12290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/debiased-distribution-compression-2404.12290"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-evidence-estimation-from-posterior-samples-with-normalizing-flows-2404.12294</loc><lastmod>2024-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-evidence-estimation-from-posterior-samples-with-normalizing-flows-2404.12294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-evidence-estimation-from-posterior-samples-with-normalizing-flows-2404.12294"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-interpretability-of-gnn-predictions-through-conformal-based-graph-sparsification-2404.12356</loc><lastmod>2024-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-interpretability-of-gnn-predictions-through-conformal-based-graph-sparsification-2404.12356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-interpretability-of-gnn-predictions-through-conformal-based-graph-sparsification-2404.12356"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-reliable-parsimonious-learning-strategy-comprising-two-layers-of-gaussian-processes-to-address-inhomogeneous-empirical-correlation-structures-2404.12478</loc><lastmod>2024-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-reliable-parsimonious-learning-strategy-comprising-two-layers-of-gaussian-processes-to-address-inhomogeneous-empirical-correlation-structures-2404.12478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-reliable-parsimonious-learning-strategy-comprising-two-layers-of-gaussian-processes-to-address-inhomogeneous-empirical-correlation-structures-2404.12478"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-optimal-feature-transfer-via-a-fine-grained-bias-variance-analysis-2404.12481</loc><lastmod>2025-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-optimal-feature-transfer-via-a-fine-grained-bias-variance-analysis-2404.12481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-optimal-feature-transfer-via-a-fine-grained-bias-variance-analysis-2404.12481"/></url>
<url><loc>https://scifaro.com/en/abs/neural-methods-for-amortized-inference-2404.12484</loc><lastmod>2024-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-methods-for-amortized-inference-2404.12484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-methods-for-amortized-inference-2404.12484"/></url>
<url><loc>https://scifaro.com/en/abs/risk-bounds-for-mixture-density-estimation-on-compact-domains-via-the-h-lifted-kullback-leibler-divergence-2404.12586</loc><lastmod>2024-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-bounds-for-mixture-density-estimation-on-compact-domains-via-the-h-lifted-kullback-leibler-divergence-2404.12586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-bounds-for-mixture-density-estimation-on-compact-domains-via-the-h-lifted-kullback-leibler-divergence-2404.12586"/></url>
<url><loc>https://scifaro.com/en/abs/model-selection-and-parameter-estimation-of-one-dimensional-gaussian-mixture-models-2404.12613</loc><lastmod>2026-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-selection-and-parameter-estimation-of-one-dimensional-gaussian-mixture-models-2404.12613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-selection-and-parameter-estimation-of-one-dimensional-gaussian-mixture-models-2404.12613"/></url>
<url><loc>https://scifaro.com/en/abs/a-guide-to-feature-importance-methods-for-scientific-inference-2404.12862</loc><lastmod>2024-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-guide-to-feature-importance-methods-for-scientific-inference-2404.12862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-guide-to-feature-importance-methods-for-scientific-inference-2404.12862"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-numeric-smc-sampling-for-bayesian-nonlinear-system-identification-in-continuous-time-2404.12923</loc><lastmod>2024-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-numeric-smc-sampling-for-bayesian-nonlinear-system-identification-in-continuous-time-2404.12923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-numeric-smc-sampling-for-bayesian-nonlinear-system-identification-in-continuous-time-2404.12923"/></url>
<url><loc>https://scifaro.com/en/abs/neural-flow-diffusion-models-learnable-forward-process-for-improved-diffusion-modelling-2404.12940</loc><lastmod>2025-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-flow-diffusion-models-learnable-forward-process-for-improved-diffusion-modelling-2404.12940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-flow-diffusion-models-learnable-forward-process-for-improved-diffusion-modelling-2404.12940"/></url>
<url><loc>https://scifaro.com/en/abs/multiclass-roc-2404.13147</loc><lastmod>2024-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiclass-roc-2404.13147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiclass-roc-2404.13147"/></url>
<url><loc>https://scifaro.com/en/abs/an-economically-consistent-discrete-choice-model-with-flexible-utility-specification-based-on-artificial-neural-networks-2404.13198</loc><lastmod>2024-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-economically-consistent-discrete-choice-model-with-flexible-utility-specification-based-on-artificial-neural-networks-2404.13198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-economically-consistent-discrete-choice-model-with-flexible-utility-specification-based-on-artificial-neural-networks-2404.13198"/></url>
<url><loc>https://scifaro.com/en/abs/learning-in-reverse-causal-strategic-environments-with-ramifications-on-two-sided-markets-2404.13240</loc><lastmod>2024-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-in-reverse-causal-strategic-environments-with-ramifications-on-two-sided-markets-2404.13240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-in-reverse-causal-strategic-environments-with-ramifications-on-two-sided-markets-2404.13240"/></url>
<url><loc>https://scifaro.com/en/abs/latent-schr-o-dinger-bridge-diffusion-model-for-generative-learning-2404.13309</loc><lastmod>2024-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-schr-o-dinger-bridge-diffusion-model-for-generative-learning-2404.13309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-schr-o-dinger-bridge-diffusion-model-for-generative-learning-2404.13309"/></url>
<url><loc>https://scifaro.com/en/abs/preconditioned-neural-posterior-estimation-for-likelihood-free-inference-2404.13557</loc><lastmod>2024-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preconditioned-neural-posterior-estimation-for-likelihood-free-inference-2404.13557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preconditioned-neural-posterior-estimation-for-likelihood-free-inference-2404.13557"/></url>
<url><loc>https://scifaro.com/en/abs/distributional-principal-autoencoders-2404.13649</loc><lastmod>2026-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributional-principal-autoencoders-2404.13649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributional-principal-autoencoders-2404.13649"/></url>
<url><loc>https://scifaro.com/en/abs/training-conditional-coverage-bounds-for-uniformly-stable-learning-algorithms-2404.13731</loc><lastmod>2024-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-conditional-coverage-bounds-for-uniformly-stable-learning-algorithms-2404.13731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-conditional-coverage-bounds-for-uniformly-stable-learning-algorithms-2404.13731"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-approach-for-prioritising-driving-behaviour-investigations-in-telematic-auto-insurance-policies-2404.14276</loc><lastmod>2024-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-approach-for-prioritising-driving-behaviour-investigations-in-telematic-auto-insurance-policies-2404.14276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-approach-for-prioritising-driving-behaviour-investigations-in-telematic-auto-insurance-policies-2404.14276"/></url>
<url><loc>https://scifaro.com/en/abs/inference-of-causal-networks-using-a-topological-threshold-2404.14460</loc><lastmod>2024-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-of-causal-networks-using-a-topological-threshold-2404.14460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-of-causal-networks-using-a-topological-threshold-2404.14460"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-guidance-for-diffusion-models-an-optimization-perspective-2404.14743</loc><lastmod>2024-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-guidance-for-diffusion-models-an-optimization-perspective-2404.14743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-guidance-for-diffusion-models-an-optimization-perspective-2404.14743"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-the-distribution-of-parameters-in-differential-equations-with-repeated-cross-sectional-data-2404.14873</loc><lastmod>2024-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-the-distribution-of-parameters-in-differential-equations-with-repeated-cross-sectional-data-2404.14873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-the-distribution-of-parameters-in-differential-equations-with-repeated-cross-sectional-data-2404.14873"/></url>
<url><loc>https://scifaro.com/en/abs/private-optimal-inventory-policy-learning-for-feature-based-newsvendor-with-unknown-demand-2404.15466</loc><lastmod>2024-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-optimal-inventory-policy-learning-for-feature-based-newsvendor-with-unknown-demand-2404.15466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-optimal-inventory-policy-learning-for-feature-based-newsvendor-with-unknown-demand-2404.15466"/></url>
<url><loc>https://scifaro.com/en/abs/neural-operator-induced-gaussian-process-framework-for-probabilistic-solution-of-parametric-partial-differential-equations-2404.15618</loc><lastmod>2024-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-operator-induced-gaussian-process-framework-for-probabilistic-solution-of-parametric-partial-differential-equations-2404.15618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-operator-induced-gaussian-process-framework-for-probabilistic-solution-of-parametric-partial-differential-equations-2404.15618"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-heterogeneous-causal-inference-beyond-meta-analysis-2404.15746</loc><lastmod>2024-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-heterogeneous-causal-inference-beyond-meta-analysis-2404.15746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-heterogeneous-causal-inference-beyond-meta-analysis-2404.15746"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-clustering-with-the-distinguishability-criterion-2404.15967</loc><lastmod>2024-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-clustering-with-the-distinguishability-criterion-2404.15967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-clustering-with-the-distinguishability-criterion-2404.15967"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-federated-learning-servers-trustworthiness-estimation-and-statistical-inference-2404.16287</loc><lastmod>2024-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-federated-learning-servers-trustworthiness-estimation-and-statistical-inference-2404.16287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-federated-learning-servers-trustworthiness-estimation-and-statistical-inference-2404.16287"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-robust-safe-screening-2404.16328</loc><lastmod>2024-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-robust-safe-screening-2404.16328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-robust-safe-screening-2404.16328"/></url>
<url><loc>https://scifaro.com/en/abs/automated-model-selection-for-generalized-linear-models-2404.16560</loc><lastmod>2025-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-model-selection-for-generalized-linear-models-2404.16560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-model-selection-for-generalized-linear-models-2404.16560"/></url>
<url><loc>https://scifaro.com/en/abs/online-policy-learning-and-inference-by-matrix-completion-2404.17398</loc><lastmod>2024-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-policy-learning-and-inference-by-matrix-completion-2404.17398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-policy-learning-and-inference-by-matrix-completion-2404.17398"/></url>
<url><loc>https://scifaro.com/en/abs/separation-capacity-of-linear-reservoirs-with-random-connectivity-matrix-2404.17429</loc><lastmod>2025-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/separation-capacity-of-linear-reservoirs-with-random-connectivity-matrix-2404.17429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/separation-capacity-of-linear-reservoirs-with-random-connectivity-matrix-2404.17429"/></url>
<url><loc>https://scifaro.com/en/abs/uniform-generalization-bounds-on-data-dependent-hypothesis-sets-via-pac-bayesian-theory-on-random-sets-2404.17442</loc><lastmod>2025-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uniform-generalization-bounds-on-data-dependent-hypothesis-sets-via-pac-bayesian-theory-on-random-sets-2404.17442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uniform-generalization-bounds-on-data-dependent-hypothesis-sets-via-pac-bayesian-theory-on-random-sets-2404.17442"/></url>
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<url><loc>https://scifaro.com/en/abs/a-conditional-independence-test-in-the-presence-of-discretization-2404.17644</loc><lastmod>2025-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-conditional-independence-test-in-the-presence-of-discretization-2404.17644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-conditional-independence-test-in-the-presence-of-discretization-2404.17644"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-matrix-bandits-with-heavy-tailed-rewards-2404.17709</loc><lastmod>2024-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-matrix-bandits-with-heavy-tailed-rewards-2404.17709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-matrix-bandits-with-heavy-tailed-rewards-2404.17709"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-quantification-for-iterative-algorithms-in-linear-models-with-application-to-early-stopping-2404.17856</loc><lastmod>2024-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-quantification-for-iterative-algorithms-in-linear-models-with-application-to-early-stopping-2404.17856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-quantification-for-iterative-algorithms-in-linear-models-with-application-to-early-stopping-2404.17856"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-asynchronous-challenges-unveiling-formulaic-bias-and-data-loss-in-the-hayashi-yoshida-estimator-2404.18233</loc><lastmod>2024-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-asynchronous-challenges-unveiling-formulaic-bias-and-data-loss-in-the-hayashi-yoshida-estimator-2404.18233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-asynchronous-challenges-unveiling-formulaic-bias-and-data-loss-in-the-hayashi-yoshida-estimator-2404.18233"/></url>
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<url><loc>https://scifaro.com/en/abs/scalable-bayesian-inference-in-the-era-of-deep-learning-from-gaussian-processes-to-deep-neural-networks-2404.19157</loc><lastmod>2024-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-bayesian-inference-in-the-era-of-deep-learning-from-gaussian-processes-to-deep-neural-networks-2404.19157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-bayesian-inference-in-the-era-of-deep-learning-from-gaussian-processes-to-deep-neural-networks-2404.19157"/></url>
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<url><loc>https://scifaro.com/en/abs/statistics-and-explainability-a-fruitful-alliance-2404.19301</loc><lastmod>2024-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistics-and-explainability-a-fruitful-alliance-2404.19301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistics-and-explainability-a-fruitful-alliance-2404.19301"/></url>
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<url><loc>https://scifaro.com/en/abs/variational-bayesian-methods-for-a-tree-structured-stick-breaking-process-mixture-of-gaussians-by-application-of-the-bayes-codes-for-context-tree-models-2405.00385</loc><lastmod>2024-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayesian-methods-for-a-tree-structured-stick-breaking-process-mixture-of-gaussians-by-application-of-the-bayes-codes-for-context-tree-models-2405.00385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayesian-methods-for-a-tree-structured-stick-breaking-process-mixture-of-gaussians-by-application-of-the-bayes-codes-for-context-tree-models-2405.00385"/></url>
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<url><loc>https://scifaro.com/en/abs/gaussian-universality-in-neural-network-dynamics-with-generalized-structured-input-distributions-2405.00642</loc><lastmod>2025-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-universality-in-neural-network-dynamics-with-generalized-structured-input-distributions-2405.00642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-universality-in-neural-network-dynamics-with-generalized-structured-input-distributions-2405.00642"/></url>
<url><loc>https://scifaro.com/en/abs/network-reconstruction-via-the-minimum-description-length-principle-2405.01015</loc><lastmod>2025-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-reconstruction-via-the-minimum-description-length-principle-2405.01015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-reconstruction-via-the-minimum-description-length-principle-2405.01015"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-self-supervised-image-denoising-with-denaturation-2405.01124</loc><lastmod>2024-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-self-supervised-image-denoising-with-denaturation-2405.01124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-self-supervised-image-denoising-with-denaturation-2405.01124"/></url>
<url><loc>https://scifaro.com/en/abs/random-pareto-front-surfaces-2405.01404</loc><lastmod>2024-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-pareto-front-surfaces-2405.01404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-pareto-front-surfaces-2405.01404"/></url>
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<url><loc>https://scifaro.com/en/abs/quality-weighted-vendi-scores-and-their-application-to-diverse-experimental-design-2405.02449</loc><lastmod>2024-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quality-weighted-vendi-scores-and-their-application-to-diverse-experimental-design-2405.02449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quality-weighted-vendi-scores-and-their-application-to-diverse-experimental-design-2405.02449"/></url>
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<url><loc>https://scifaro.com/en/abs/learning-structural-causal-models-through-deep-generative-models-methods-guarantees-and-challenges-2405.05025</loc><lastmod>2025-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-structural-causal-models-through-deep-generative-models-methods-guarantees-and-challenges-2405.05025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-structural-causal-models-through-deep-generative-models-methods-guarantees-and-challenges-2405.05025"/></url>
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<url><loc>https://scifaro.com/en/abs/is-transductive-learning-equivalent-to-pac-learning-2405.05190</loc><lastmod>2024-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-transductive-learning-equivalent-to-pac-learning-2405.05190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-transductive-learning-equivalent-to-pac-learning-2405.05190"/></url>
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<url><loc>https://scifaro.com/en/abs/liouville-flow-importance-sampler-2405.06672</loc><lastmod>2024-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/liouville-flow-importance-sampler-2405.06672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/liouville-flow-importance-sampler-2405.06672"/></url>
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<url><loc>https://scifaro.com/en/abs/distributed-high-dimensional-quantile-regression-estimation-efficiency-and-support-recovery-2405.07552</loc><lastmod>2024-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-high-dimensional-quantile-regression-estimation-efficiency-and-support-recovery-2405.07552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-high-dimensional-quantile-regression-estimation-efficiency-and-support-recovery-2405.07552"/></url>
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<url><loc>https://scifaro.com/en/abs/differentiable-annealed-importance-sampling-minimizes-the-symmetrized-kullback-leibler-divergence-between-initial-and-target-distribution-2405.14840</loc><lastmod>2024-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-annealed-importance-sampling-minimizes-the-symmetrized-kullback-leibler-divergence-between-initial-and-target-distribution-2405.14840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-annealed-importance-sampling-minimizes-the-symmetrized-kullback-leibler-divergence-between-initial-and-target-distribution-2405.14840"/></url>
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<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-infinite-horizon-average-reward-linear-mdps-via-approximation-by-discounted-reward-mdps-2405.15050</loc><lastmod>2025-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-infinite-horizon-average-reward-linear-mdps-via-approximation-by-discounted-reward-mdps-2405.15050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-infinite-horizon-average-reward-linear-mdps-via-approximation-by-discounted-reward-mdps-2405.15050"/></url>
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<url><loc>https://scifaro.com/en/abs/certified-inventory-control-of-critical-resources-2405.15105</loc><lastmod>2024-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certified-inventory-control-of-critical-resources-2405.15105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certified-inventory-control-of-critical-resources-2405.15105"/></url>
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<url><loc>https://scifaro.com/en/abs/is-algorithmic-stability-testable-a-unified-framework-under-computational-constraints-2405.15107</loc><lastmod>2025-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-algorithmic-stability-testable-a-unified-framework-under-computational-constraints-2405.15107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-algorithmic-stability-testable-a-unified-framework-under-computational-constraints-2405.15107"/></url>
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<url><loc>https://scifaro.com/en/abs/prodag-projected-variational-inference-for-directed-acyclic-graphs-2405.15167</loc><lastmod>2026-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prodag-projected-variational-inference-for-directed-acyclic-graphs-2405.15167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prodag-projected-variational-inference-for-directed-acyclic-graphs-2405.15167"/></url>
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<url><loc>https://scifaro.com/en/abs/novel-kernel-models-and-exact-representor-theory-for-neural-networks-beyond-the-over-parameterized-regime-2405.15254</loc><lastmod>2024-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/novel-kernel-models-and-exact-representor-theory-for-neural-networks-beyond-the-over-parameterized-regime-2405.15254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/novel-kernel-models-and-exact-representor-theory-for-neural-networks-beyond-the-over-parameterized-regime-2405.15254"/></url>
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<url><loc>https://scifaro.com/en/abs/strong-screening-rules-for-group-based-slope-models-2405.15357</loc><lastmod>2025-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strong-screening-rules-for-group-based-slope-models-2405.15357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strong-screening-rules-for-group-based-slope-models-2405.15357"/></url>
<url><loc>https://scifaro.com/en/abs/coordinated-multi-neighborhood-learning-on-a-directed-acyclic-graph-2405.15358</loc><lastmod>2024-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coordinated-multi-neighborhood-learning-on-a-directed-acyclic-graph-2405.15358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coordinated-multi-neighborhood-learning-on-a-directed-acyclic-graph-2405.15358"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-midpoint-method-for-log-concave-sampling-under-constraints-2405.15379</loc><lastmod>2025-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-midpoint-method-for-log-concave-sampling-under-constraints-2405.15379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-midpoint-method-for-log-concave-sampling-under-constraints-2405.15379"/></url>
<url><loc>https://scifaro.com/en/abs/reshuffling-resampling-splits-can-improve-generalization-of-hyperparameter-optimization-2405.15393</loc><lastmod>2024-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reshuffling-resampling-splits-can-improve-generalization-of-hyperparameter-optimization-2405.15393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reshuffling-resampling-splits-can-improve-generalization-of-hyperparameter-optimization-2405.15393"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-and-computational-guarantees-of-kernel-max-sliced-wasserstein-distances-2405.15441</loc><lastmod>2025-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-and-computational-guarantees-of-kernel-max-sliced-wasserstein-distances-2405.15441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-and-computational-guarantees-of-kernel-max-sliced-wasserstein-distances-2405.15441"/></url>
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<url><loc>https://scifaro.com/en/abs/on-the-convexity-and-reliability-of-the-bethe-free-energy-approximation-2405.15514</loc><lastmod>2024-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convexity-and-reliability-of-the-bethe-free-energy-approximation-2405.15514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convexity-and-reliability-of-the-bethe-free-energy-approximation-2405.15514"/></url>
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<url><loc>https://scifaro.com/en/abs/reflected-flow-matching-2405.16577</loc><lastmod>2024-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reflected-flow-matching-2405.16577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reflected-flow-matching-2405.16577"/></url>
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<url><loc>https://scifaro.com/en/abs/bayesian-inference-with-deep-weakly-nonlinear-networks-2405.16630</loc><lastmod>2024-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-with-deep-weakly-nonlinear-networks-2405.16630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-with-deep-weakly-nonlinear-networks-2405.16630"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-approximation-and-multiplier-bootstrap-for-polyak-ruppert-averaged-linear-stochastic-approximation-with-applications-to-td-learning-2405.16644</loc><lastmod>2025-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-approximation-and-multiplier-bootstrap-for-polyak-ruppert-averaged-linear-stochastic-approximation-with-applications-to-td-learning-2405.16644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-approximation-and-multiplier-bootstrap-for-polyak-ruppert-averaged-linear-stochastic-approximation-with-applications-to-td-learning-2405.16644"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-under-high-dimensional-graph-convolutional-regression-model-for-node-classification-2405.16672</loc><lastmod>2024-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-under-high-dimensional-graph-convolutional-regression-model-for-node-classification-2405.16672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-under-high-dimensional-graph-convolutional-regression-model-for-node-classification-2405.16672"/></url>
<url><loc>https://scifaro.com/en/abs/the-collusion-of-memory-and-nonlinearity-in-stochastic-approximation-with-constant-stepsize-2405.16732</loc><lastmod>2025-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-collusion-of-memory-and-nonlinearity-in-stochastic-approximation-with-constant-stepsize-2405.16732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-collusion-of-memory-and-nonlinearity-in-stochastic-approximation-with-constant-stepsize-2405.16732"/></url>
<url><loc>https://scifaro.com/en/abs/faster-sampling-via-stochastic-gradient-proximal-sampler-2405.16734</loc><lastmod>2024-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-sampling-via-stochastic-gradient-proximal-sampler-2405.16734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-sampling-via-stochastic-gradient-proximal-sampler-2405.16734"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-accuracy-in-generative-models-via-knowledge-transfer-2405.16837</loc><lastmod>2025-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-accuracy-in-generative-models-via-knowledge-transfer-2405.16837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-accuracy-in-generative-models-via-knowledge-transfer-2405.16837"/></url>
<url><loc>https://scifaro.com/en/abs/harnessing-the-power-of-vicinity-informed-analysis-for-classification-under-covariate-shift-2405.16906</loc><lastmod>2024-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/harnessing-the-power-of-vicinity-informed-analysis-for-classification-under-covariate-shift-2405.16906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/harnessing-the-power-of-vicinity-informed-analysis-for-classification-under-covariate-shift-2405.16906"/></url>
<url><loc>https://scifaro.com/en/abs/large-deviations-of-gaussian-neural-networks-with-relu-activation-2405.16958</loc><lastmod>2026-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-deviations-of-gaussian-neural-networks-with-relu-activation-2405.16958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-deviations-of-gaussian-neural-networks-with-relu-activation-2405.16958"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-user-level-local-differential-privacy-2405.17079</loc><lastmod>2024-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-user-level-local-differential-privacy-2405.17079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-user-level-local-differential-privacy-2405.17079"/></url>
<url><loc>https://scifaro.com/en/abs/dual-feature-reduction-for-the-sparse-group-lasso-and-its-adaptive-variant-2405.17094</loc><lastmod>2025-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-feature-reduction-for-the-sparse-group-lasso-and-its-adaptive-variant-2405.17094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-feature-reduction-for-the-sparse-group-lasso-and-its-adaptive-variant-2405.17094"/></url>
<url><loc>https://scifaro.com/en/abs/on-understanding-attention-based-in-context-learning-for-categorical-data-2405.17248</loc><lastmod>2025-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-understanding-attention-based-in-context-learning-for-categorical-data-2405.17248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-understanding-attention-based-in-context-learning-for-categorical-data-2405.17248"/></url>
<url><loc>https://scifaro.com/en/abs/simplicity-bias-of-two-layer-networks-beyond-linearly-separable-data-2405.17299</loc><lastmod>2024-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simplicity-bias-of-two-layer-networks-beyond-linearly-separable-data-2405.17299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simplicity-bias-of-two-layer-networks-beyond-linearly-separable-data-2405.17299"/></url>
<url><loc>https://scifaro.com/en/abs/generating-accurate-synthetic-survival-data-by-conditioning-on-outcomes-2405.17333</loc><lastmod>2025-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-accurate-synthetic-survival-data-by-conditioning-on-outcomes-2405.17333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-accurate-synthetic-survival-data-by-conditioning-on-outcomes-2405.17333"/></url>
<url><loc>https://scifaro.com/en/abs/towards-one-model-for-classical-dimensionality-reduction-a-probabilistic-perspective-on-umap-and-t-sne-2405.17412</loc><lastmod>2025-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-one-model-for-classical-dimensionality-reduction-a-probabilistic-perspective-on-umap-and-t-sne-2405.17412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-one-model-for-classical-dimensionality-reduction-a-probabilistic-perspective-on-umap-and-t-sne-2405.17412"/></url>
<url><loc>https://scifaro.com/en/abs/hamiltonian-mechanics-of-feature-learning-bottleneck-structure-in-leaky-resnets-2405.17573</loc><lastmod>2026-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hamiltonian-mechanics-of-feature-learning-bottleneck-structure-in-leaky-resnets-2405.17573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hamiltonian-mechanics-of-feature-learning-bottleneck-structure-in-leaky-resnets-2405.17573"/></url>
<url><loc>https://scifaro.com/en/abs/structured-partial-stochasticity-in-bayesian-neural-networks-2405.17666</loc><lastmod>2024-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-partial-stochasticity-in-bayesian-neural-networks-2405.17666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-partial-stochasticity-in-bayesian-neural-networks-2405.17666"/></url>
<url><loc>https://scifaro.com/en/abs/tamed-langevin-sampling-under-weaker-conditions-2405.17693</loc><lastmod>2024-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tamed-langevin-sampling-under-weaker-conditions-2405.17693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tamed-langevin-sampling-under-weaker-conditions-2405.17693"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-truncation-kernels-noncommutativity-in-c-algebraic-kernel-machines-2405.17823</loc><lastmod>2025-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-truncation-kernels-noncommutativity-in-c-algebraic-kernel-machines-2405.17823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-truncation-kernels-noncommutativity-in-c-algebraic-kernel-machines-2405.17823"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-prior-calibration-from-indirect-data-2405.17955</loc><lastmod>2025-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-prior-calibration-from-indirect-data-2405.17955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-prior-calibration-from-indirect-data-2405.17955"/></url>
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<url><loc>https://scifaro.com/en/abs/context-specific-refinements-of-bayesian-network-classifiers-2405.18298</loc><lastmod>2024-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-specific-refinements-of-bayesian-network-classifiers-2405.18298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-specific-refinements-of-bayesian-network-classifiers-2405.18298"/></url>
<url><loc>https://scifaro.com/en/abs/learning-staged-trees-from-incomplete-data-2405.18306</loc><lastmod>2024-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-staged-trees-from-incomplete-data-2405.18306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-staged-trees-from-incomplete-data-2405.18306"/></url>
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<url><loc>https://scifaro.com/en/abs/from-conformal-predictions-to-confidence-regions-2405.18601</loc><lastmod>2024-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-conformal-predictions-to-confidence-regions-2405.18601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-conformal-predictions-to-confidence-regions-2405.18601"/></url>
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<url><loc>https://scifaro.com/en/abs/federated-q-learning-with-reference-advantage-decomposition-almost-optimal-regret-and-logarithmic-communication-cost-2405.18795</loc><lastmod>2025-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-q-learning-with-reference-advantage-decomposition-almost-optimal-regret-and-logarithmic-communication-cost-2405.18795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-q-learning-with-reference-advantage-decomposition-almost-optimal-regret-and-logarithmic-communication-cost-2405.18795"/></url>
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<url><loc>https://scifaro.com/en/abs/entprop-high-entropy-propagation-for-improving-accuracy-and-robustness-2405.18931</loc><lastmod>2024-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entprop-high-entropy-propagation-for-improving-accuracy-and-robustness-2405.18931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entprop-high-entropy-propagation-for-improving-accuracy-and-robustness-2405.18931"/></url>
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<url><loc>https://scifaro.com/en/abs/kernel-semi-implicit-variational-inference-2405.18997</loc><lastmod>2024-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-semi-implicit-variational-inference-2405.18997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-semi-implicit-variational-inference-2405.18997"/></url>
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<url><loc>https://scifaro.com/en/abs/valid-conformal-prediction-for-dynamic-gnns-2405.19230</loc><lastmod>2025-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/valid-conformal-prediction-for-dynamic-gnns-2405.19230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/valid-conformal-prediction-for-dynamic-gnns-2405.19230"/></url>
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<url><loc>https://scifaro.com/en/abs/rate-preserving-reductions-for-blackwell-approachability-2406.07585</loc><lastmod>2024-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rate-preserving-reductions-for-blackwell-approachability-2406.07585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rate-preserving-reductions-for-blackwell-approachability-2406.07585"/></url>
<url><loc>https://scifaro.com/en/abs/any-time-regret-guaranteed-algorithm-for-control-of-linear-quadratic-systems-2406.07746</loc><lastmod>2026-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/any-time-regret-guaranteed-algorithm-for-control-of-linear-quadratic-systems-2406.07746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/any-time-regret-guaranteed-algorithm-for-control-of-linear-quadratic-systems-2406.07746"/></url>
<url><loc>https://scifaro.com/en/abs/minimal-communication-cost-statistical-learning-2406.08193</loc><lastmod>2024-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimal-communication-cost-statistical-learning-2406.08193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimal-communication-cost-statistical-learning-2406.08193"/></url>
<url><loc>https://scifaro.com/en/abs/forward-euler-time-discretization-for-wasserstein-gradient-flows-can-be-wrong-2406.08209</loc><lastmod>2024-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forward-euler-time-discretization-for-wasserstein-gradient-flows-can-be-wrong-2406.08209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forward-euler-time-discretization-for-wasserstein-gradient-flows-can-be-wrong-2406.08209"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-training-variability-from-stochastic-optimization-using-robust-nonparametric-testing-2406.08307</loc><lastmod>2025-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-training-variability-from-stochastic-optimization-using-robust-nonparametric-testing-2406.08307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-training-variability-from-stochastic-optimization-using-robust-nonparametric-testing-2406.08307"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-from-strongly-mixing-observations-sparse-penalized-regularization-and-minimax-optimality-2406.08321</loc><lastmod>2025-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-from-strongly-mixing-observations-sparse-penalized-regularization-and-minimax-optimality-2406.08321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-from-strongly-mixing-observations-sparse-penalized-regularization-and-minimax-optimality-2406.08321"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-cost-parameterized-monge-map-estimators-2406.08399</loc><lastmod>2024-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-cost-parameterized-monge-map-estimators-2406.08399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-cost-parameterized-monge-map-estimators-2406.08399"/></url>
<url><loc>https://scifaro.com/en/abs/nystr-om-kernel-stein-discrepancy-2406.08401</loc><lastmod>2025-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nystr-om-kernel-stein-discrepancy-2406.08401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nystr-om-kernel-stein-discrepancy-2406.08401"/></url>
<url><loc>https://scifaro.com/en/abs/large-stepsize-gradient-descent-for-non-homogeneous-two-layer-networks-margin-improvement-and-fast-optimization-2406.08654</loc><lastmod>2024-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-stepsize-gradient-descent-for-non-homogeneous-two-layer-networks-margin-improvement-and-fast-optimization-2406.08654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-stepsize-gradient-descent-for-non-homogeneous-two-layer-networks-margin-improvement-and-fast-optimization-2406.08654"/></url>
<url><loc>https://scifaro.com/en/abs/pruning-is-optimal-for-learning-sparse-features-in-high-dimensions-2406.08658</loc><lastmod>2024-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pruning-is-optimal-for-learning-sparse-features-in-high-dimensions-2406.08658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pruning-is-optimal-for-learning-sparse-features-in-high-dimensions-2406.08658"/></url>
<url><loc>https://scifaro.com/en/abs/structured-difference-of-q-via-orthogonal-learning-2406.08697</loc><lastmod>2025-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-difference-of-q-via-orthogonal-learning-2406.08697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-difference-of-q-via-orthogonal-learning-2406.08697"/></url>
<url><loc>https://scifaro.com/en/abs/assessment-of-uncertainty-quantification-in-universal-differential-equations-2406.08853</loc><lastmod>2024-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessment-of-uncertainty-quantification-in-universal-differential-equations-2406.08853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessment-of-uncertainty-quantification-in-universal-differential-equations-2406.08853"/></url>
<url><loc>https://scifaro.com/en/abs/central-limit-theorem-for-bayesian-neural-network-trained-with-variational-inference-2406.09048</loc><lastmod>2024-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/central-limit-theorem-for-bayesian-neural-network-trained-with-variational-inference-2406.09048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/central-limit-theorem-for-bayesian-neural-network-trained-with-variational-inference-2406.09048"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-structural-model-updating-with-multimodal-variational-autoencoder-2406.09051</loc><lastmod>2024-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-structural-model-updating-with-multimodal-variational-autoencoder-2406.09051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-structural-model-updating-with-multimodal-variational-autoencoder-2406.09051"/></url>
<url><loc>https://scifaro.com/en/abs/operator-informed-score-matching-for-markov-diffusion-models-2406.09084</loc><lastmod>2025-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/operator-informed-score-matching-for-markov-diffusion-models-2406.09084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/operator-informed-score-matching-for-markov-diffusion-models-2406.09084"/></url>
<url><loc>https://scifaro.com/en/abs/generative-vs-discriminative-modeling-under-the-lens-of-uncertainty-quantification-2406.09172</loc><lastmod>2024-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-vs-discriminative-modeling-under-the-lens-of-uncertainty-quantification-2406.09172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-vs-discriminative-modeling-under-the-lens-of-uncertainty-quantification-2406.09172"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-and-flexible-causal-discovery-with-an-efficient-test-for-adjacency-2406.09177</loc><lastmod>2024-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-and-flexible-causal-discovery-with-an-efficient-test-for-adjacency-2406.09177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-and-flexible-causal-discovery-with-an-efficient-test-for-adjacency-2406.09177"/></url>
<url><loc>https://scifaro.com/en/abs/ridge-interpolators-in-correlated-factor-regression-models-exact-risk-analysis-2406.09183</loc><lastmod>2024-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ridge-interpolators-in-correlated-factor-regression-models-exact-risk-analysis-2406.09183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ridge-interpolators-in-correlated-factor-regression-models-exact-risk-analysis-2406.09183"/></url>
<url><loc>https://scifaro.com/en/abs/benign-overfitting-in-fixed-dimension-via-physics-informed-learning-with-smooth-inductive-bias-2406.09194</loc><lastmod>2025-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benign-overfitting-in-fixed-dimension-via-physics-informed-learning-with-smooth-inductive-bias-2406.09194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benign-overfitting-in-fixed-dimension-via-physics-informed-learning-with-smooth-inductive-bias-2406.09194"/></url>
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<url><loc>https://scifaro.com/en/abs/deep-sketched-output-kernel-regression-for-structured-prediction-2406.09253</loc><lastmod>2024-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-sketched-output-kernel-regression-for-structured-prediction-2406.09253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-sketched-output-kernel-regression-for-structured-prediction-2406.09253"/></url>
<url><loc>https://scifaro.com/en/abs/learning-conditional-distributions-on-continuous-spaces-2406.09375</loc><lastmod>2024-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-conditional-distributions-on-continuous-spaces-2406.09375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-conditional-distributions-on-continuous-spaces-2406.09375"/></url>
<url><loc>https://scifaro.com/en/abs/oblivious-subspace-embeddings-for-compressed-tucker-decompositions-2406.09387</loc><lastmod>2024-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/oblivious-subspace-embeddings-for-compressed-tucker-decompositions-2406.09387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/oblivious-subspace-embeddings-for-compressed-tucker-decompositions-2406.09387"/></url>
<url><loc>https://scifaro.com/en/abs/fair-glasso-estimating-fair-graphical-models-with-unbiased-statistical-behavior-2406.09513</loc><lastmod>2024-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-glasso-estimating-fair-graphical-models-with-unbiased-statistical-behavior-2406.09513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-glasso-estimating-fair-graphical-models-with-unbiased-statistical-behavior-2406.09513"/></url>
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<url><loc>https://scifaro.com/en/abs/an-efficient-approach-to-regression-problems-with-tensor-neural-networks-2406.09694</loc><lastmod>2024-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-approach-to-regression-problems-with-tensor-neural-networks-2406.09694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-approach-to-regression-problems-with-tensor-neural-networks-2406.09694"/></url>
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<url><loc>https://scifaro.com/en/abs/analysing-multi-task-regression-via-random-matrix-theory-with-application-to-time-series-forecasting-2406.10327</loc><lastmod>2024-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysing-multi-task-regression-via-random-matrix-theory-with-application-to-time-series-forecasting-2406.10327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysing-multi-task-regression-via-random-matrix-theory-with-application-to-time-series-forecasting-2406.10327"/></url>
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<url><loc>https://scifaro.com/en/abs/calibrating-neural-networks-parameters-through-optimal-contraction-in-a-prediction-problem-2406.10703</loc><lastmod>2024-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrating-neural-networks-parameters-through-optimal-contraction-in-a-prediction-problem-2406.10703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrating-neural-networks-parameters-through-optimal-contraction-in-a-prediction-problem-2406.10703"/></url>
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<url><loc>https://scifaro.com/en/abs/diffusion-generative-modelling-for-divide-and-conquer-mcmc-2406.11664</loc><lastmod>2024-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-generative-modelling-for-divide-and-conquer-mcmc-2406.11664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-generative-modelling-for-divide-and-conquer-mcmc-2406.11664"/></url>
<url><loc>https://scifaro.com/en/abs/to-clip-or-not-to-clip-the-dynamics-of-sgd-with-gradient-clipping-in-high-dimensions-2406.11733</loc><lastmod>2024-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/to-clip-or-not-to-clip-the-dynamics-of-sgd-with-gradient-clipping-in-high-dimensions-2406.11733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/to-clip-or-not-to-clip-the-dynamics-of-sgd-with-gradient-clipping-in-high-dimensions-2406.11733"/></url>
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<url><loc>https://scifaro.com/en/abs/entropic-regression-dmd-erdmd-discovers-informative-sparse-and-nonuniformly-time-delayed-models-2406.12062</loc><lastmod>2024-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropic-regression-dmd-erdmd-discovers-informative-sparse-and-nonuniformly-time-delayed-models-2406.12062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropic-regression-dmd-erdmd-discovers-informative-sparse-and-nonuniformly-time-delayed-models-2406.12062"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimal-transport-approach-for-network-regression-2406.12204</loc><lastmod>2024-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimal-transport-approach-for-network-regression-2406.12204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimal-transport-approach-for-network-regression-2406.12204"/></url>
<url><loc>https://scifaro.com/en/abs/top-down-bayesian-posterior-sampling-for-sum-product-networks-2406.12353</loc><lastmod>2024-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/top-down-bayesian-posterior-sampling-for-sum-product-networks-2406.12353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/top-down-bayesian-posterior-sampling-for-sum-product-networks-2406.12353"/></url>
<url><loc>https://scifaro.com/en/abs/translation-equivariant-transformer-neural-processes-2406.12409</loc><lastmod>2024-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/translation-equivariant-transformer-neural-processes-2406.12409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/translation-equivariant-transformer-neural-processes-2406.12409"/></url>
<url><loc>https://scifaro.com/en/abs/towards-bayesian-data-selection-2406.12560</loc><lastmod>2024-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-bayesian-data-selection-2406.12560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-bayesian-data-selection-2406.12560"/></url>
<url><loc>https://scifaro.com/en/abs/a-variational-bayes-approach-to-debiased-inference-for-low-dimensional-parameters-in-high-dimensional-linear-regression-2406.12659</loc><lastmod>2025-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-variational-bayes-approach-to-debiased-inference-for-low-dimensional-parameters-in-high-dimensional-linear-regression-2406.12659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-variational-bayes-approach-to-debiased-inference-for-low-dimensional-parameters-in-high-dimensional-linear-regression-2406.12659"/></url>
<url><loc>https://scifaro.com/en/abs/contraction-rates-for-conjugate-gradient-and-lanczos-approximate-posteriors-in-gaussian-process-regression-2406.12678</loc><lastmod>2024-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contraction-rates-for-conjugate-gradient-and-lanczos-approximate-posteriors-in-gaussian-process-regression-2406.12678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contraction-rates-for-conjugate-gradient-and-lanczos-approximate-posteriors-in-gaussian-process-regression-2406.12678"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-bias-of-mirror-flow-on-separable-data-2406.12763</loc><lastmod>2024-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-bias-of-mirror-flow-on-separable-data-2406.12763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-bias-of-mirror-flow-on-separable-data-2406.12763"/></url>
<url><loc>https://scifaro.com/en/abs/quasi-bayes-meets-vines-2406.12764</loc><lastmod>2024-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quasi-bayes-meets-vines-2406.12764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quasi-bayes-meets-vines-2406.12764"/></url>
<url><loc>https://scifaro.com/en/abs/sharp-detection-of-low-dimensional-structure-in-probability-measures-via-dimensional-logarithmic-sobolev-inequalities-2406.13036</loc><lastmod>2025-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sharp-detection-of-low-dimensional-structure-in-probability-measures-via-dimensional-logarithmic-sobolev-inequalities-2406.13036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sharp-detection-of-low-dimensional-structure-in-probability-measures-via-dimensional-logarithmic-sobolev-inequalities-2406.13036"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-circular-regression-with-von-mises-quasi-processes-2406.13151</loc><lastmod>2025-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-circular-regression-with-von-mises-quasi-processes-2406.13151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-circular-regression-with-von-mises-quasi-processes-2406.13151"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-score-based-diffusion-models-for-solving-inverse-problems-in-mechanics-2406.13154</loc><lastmod>2024-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-score-based-diffusion-models-for-solving-inverse-problems-in-mechanics-2406.13154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-score-based-diffusion-models-for-solving-inverse-problems-in-mechanics-2406.13154"/></url>
<url><loc>https://scifaro.com/en/abs/coupled-input-output-dimension-reduction-application-to-goal-oriented-bayesian-experimental-design-and-global-sensitivity-analysis-2406.13425</loc><lastmod>2025-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coupled-input-output-dimension-reduction-application-to-goal-oriented-bayesian-experimental-design-and-global-sensitivity-analysis-2406.13425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coupled-input-output-dimension-reduction-application-to-goal-oriented-bayesian-experimental-design-and-global-sensitivity-analysis-2406.13425"/></url>
<url><loc>https://scifaro.com/en/abs/approximately-equivariant-neural-processes-2406.13488</loc><lastmod>2024-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximately-equivariant-neural-processes-2406.13488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximately-equivariant-neural-processes-2406.13488"/></url>
<url><loc>https://scifaro.com/en/abs/generative-modeling-by-minimizing-the-wasserstein-2-loss-2406.13619</loc><lastmod>2026-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-modeling-by-minimizing-the-wasserstein-2-loss-2406.13619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-modeling-by-minimizing-the-wasserstein-2-loss-2406.13619"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-adaptive-batch-size-strategies-for-distributed-local-gradient-methods-2406.13936</loc><lastmod>2024-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-adaptive-batch-size-strategies-for-distributed-local-gradient-methods-2406.13936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-adaptive-batch-size-strategies-for-distributed-local-gradient-methods-2406.13936"/></url>
<url><loc>https://scifaro.com/en/abs/random-pairing-mle-for-estimation-of-item-parameters-in-rasch-model-2406.13989</loc><lastmod>2025-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-pairing-mle-for-estimation-of-item-parameters-in-rasch-model-2406.13989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-pairing-mle-for-estimation-of-item-parameters-in-rasch-model-2406.13989"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-unobserved-bifurcation-by-unsupervised-extraction-of-slowly-time-varying-system-parameter-dynamics-from-time-series-using-reservoir-computing-2406.13995</loc><lastmod>2024-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-unobserved-bifurcation-by-unsupervised-extraction-of-slowly-time-varying-system-parameter-dynamics-from-time-series-using-reservoir-computing-2406.13995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-unobserved-bifurcation-by-unsupervised-extraction-of-slowly-time-varying-system-parameter-dynamics-from-time-series-using-reservoir-computing-2406.13995"/></url>
<url><loc>https://scifaro.com/en/abs/deep-optimal-experimental-design-for-parameter-estimation-problems-2406.14003</loc><lastmod>2025-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-optimal-experimental-design-for-parameter-estimation-problems-2406.14003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-optimal-experimental-design-for-parameter-estimation-problems-2406.14003"/></url>
<url><loc>https://scifaro.com/en/abs/confidence-intervals-and-simultaneous-confidence-bands-based-on-deep-learning-2406.14009</loc><lastmod>2024-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidence-intervals-and-simultaneous-confidence-bands-based-on-deep-learning-2406.14009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidence-intervals-and-simultaneous-confidence-bands-based-on-deep-learning-2406.14009"/></url>
<url><loc>https://scifaro.com/en/abs/ensembles-of-probabilistic-regression-trees-2406.14033</loc><lastmod>2024-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensembles-of-probabilistic-regression-trees-2406.14033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensembles-of-probabilistic-regression-trees-2406.14033"/></url>
<url><loc>https://scifaro.com/en/abs/a-practical-diffusion-path-for-sampling-2406.14040</loc><lastmod>2024-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-practical-diffusion-path-for-sampling-2406.14040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-practical-diffusion-path-for-sampling-2406.14040"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-bandit-algorithms-with-approximate-inference-in-stochastic-linear-bandits-2406.14071</loc><lastmod>2025-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-bandit-algorithms-with-approximate-inference-in-stochastic-linear-bandits-2406.14071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-bandit-algorithms-with-approximate-inference-in-stochastic-linear-bandits-2406.14071"/></url>
<url><loc>https://scifaro.com/en/abs/identifiable-exchangeable-mechanisms-for-causal-structure-and-representation-learning-2406.14302</loc><lastmod>2025-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifiable-exchangeable-mechanisms-for-causal-structure-and-representation-learning-2406.14302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifiable-exchangeable-mechanisms-for-causal-structure-and-representation-learning-2406.14302"/></url>
<url><loc>https://scifaro.com/en/abs/transferable-boltzmann-generators-2406.14426</loc><lastmod>2025-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transferable-boltzmann-generators-2406.14426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transferable-boltzmann-generators-2406.14426"/></url>
<url><loc>https://scifaro.com/en/abs/pathological-regularization-regimes-in-classification-tasks-2406.14731</loc><lastmod>2024-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pathological-regularization-regimes-in-classification-tasks-2406.14731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pathological-regularization-regimes-in-classification-tasks-2406.14731"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-neural-networks-for-predicting-uncertainty-in-full-field-material-response-2406.14838</loc><lastmod>2024-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-neural-networks-for-predicting-uncertainty-in-full-field-material-response-2406.14838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-neural-networks-for-predicting-uncertainty-in-full-field-material-response-2406.14838"/></url>
<url><loc>https://scifaro.com/en/abs/pure-interaction-effects-unseen-by-random-forests-2406.15500</loc><lastmod>2025-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pure-interaction-effects-unseen-by-random-forests-2406.15500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pure-interaction-effects-unseen-by-random-forests-2406.15500"/></url>
<url><loc>https://scifaro.com/en/abs/the-stochastic-occupation-kernel-method-for-system-identification-2406.15661</loc><lastmod>2024-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-stochastic-occupation-kernel-method-for-system-identification-2406.15661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-stochastic-occupation-kernel-method-for-system-identification-2406.15661"/></url>
<url><loc>https://scifaro.com/en/abs/flat-posterior-does-matter-for-bayesian-model-averaging-2406.15664</loc><lastmod>2025-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flat-posterior-does-matter-for-bayesian-model-averaging-2406.15664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flat-posterior-does-matter-for-bayesian-model-averaging-2406.15664"/></url>
<url><loc>https://scifaro.com/en/abs/effect-of-random-learning-rate-theoretical-analysis-of-sgd-dynamics-in-non-convex-optimization-via-stationary-distribution-2406.16032</loc><lastmod>2025-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effect-of-random-learning-rate-theoretical-analysis-of-sgd-dynamics-in-non-convex-optimization-via-stationary-distribution-2406.16032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effect-of-random-learning-rate-theoretical-analysis-of-sgd-dynamics-in-non-convex-optimization-via-stationary-distribution-2406.16032"/></url>
<url><loc>https://scifaro.com/en/abs/combine-and-conquer-a-meta-analysis-on-data-shift-and-out-of-distribution-detection-2406.16045</loc><lastmod>2024-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combine-and-conquer-a-meta-analysis-on-data-shift-and-out-of-distribution-detection-2406.16045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combine-and-conquer-a-meta-analysis-on-data-shift-and-out-of-distribution-detection-2406.16045"/></url>
<url><loc>https://scifaro.com/en/abs/vicatmix-variational-bayesian-clustering-and-variable-selection-for-discrete-biomedical-data-2406.16227</loc><lastmod>2026-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vicatmix-variational-bayesian-clustering-and-variable-selection-for-discrete-biomedical-data-2406.16227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vicatmix-variational-bayesian-clustering-and-variable-selection-for-discrete-biomedical-data-2406.16227"/></url>
<url><loc>https://scifaro.com/en/abs/robust-prediction-under-missingness-shifts-2406.16484</loc><lastmod>2024-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-prediction-under-missingness-shifts-2406.16484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-prediction-under-missingness-shifts-2406.16484"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-ood-detection-using-latent-diffusion-2406.16525</loc><lastmod>2025-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-ood-detection-using-latent-diffusion-2406.16525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-ood-detection-using-latent-diffusion-2406.16525"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-bayesian-quadrature-2406.16530</loc><lastmod>2024-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-bayesian-quadrature-2406.16530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-bayesian-quadrature-2406.16530"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-with-deep-learning-beyond-average-of-average-of-average-performance-2406.16590</loc><lastmod>2024-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-with-deep-learning-beyond-average-of-average-of-average-performance-2406.16590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-with-deep-learning-beyond-average-of-average-of-average-performance-2406.16590"/></url>
<url><loc>https://scifaro.com/en/abs/conformal-time-series-decomposition-with-component-wise-exchangeability-2406.16766</loc><lastmod>2024-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformal-time-series-decomposition-with-component-wise-exchangeability-2406.16766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformal-time-series-decomposition-with-component-wise-exchangeability-2406.16766"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-error-bounds-for-gans-with-nonlinear-objective-functionals-2406.16834</loc><lastmod>2025-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-error-bounds-for-gans-with-nonlinear-objective-functionals-2406.16834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-error-bounds-for-gans-with-nonlinear-objective-functionals-2406.16834"/></url>
<url><loc>https://scifaro.com/en/abs/flexible-tails-for-normalizing-flows-2406.16971</loc><lastmod>2025-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexible-tails-for-normalizing-flows-2406.16971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexible-tails-for-normalizing-flows-2406.16971"/></url>
<url><loc>https://scifaro.com/en/abs/a-wiener-process-perspective-on-local-intrinsic-dimension-estimation-methods-2406.17125</loc><lastmod>2024-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-wiener-process-perspective-on-local-intrinsic-dimension-estimation-methods-2406.17125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-wiener-process-perspective-on-local-intrinsic-dimension-estimation-methods-2406.17125"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-equivalence-search-for-nonparametric-graphical-models-2406.17228</loc><lastmod>2024-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-equivalence-search-for-nonparametric-graphical-models-2406.17228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-equivalence-search-for-nonparametric-graphical-models-2406.17228"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-nonstationary-causal-structures-with-high-order-markov-switching-models-2406.17698</loc><lastmod>2024-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-nonstationary-causal-structures-with-high-order-markov-switching-models-2406.17698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-nonstationary-causal-structures-with-high-order-markov-switching-models-2406.17698"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-learnability-and-robustness-2406.17814</loc><lastmod>2024-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-learnability-and-robustness-2406.17814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-learnability-and-robustness-2406.17814"/></url>
<url><loc>https://scifaro.com/en/abs/treatment-of-statistical-estimation-problems-in-randomized-smoothing-for-adversarial-robustness-2406.17830</loc><lastmod>2025-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/treatment-of-statistical-estimation-problems-in-randomized-smoothing-for-adversarial-robustness-2406.17830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/treatment-of-statistical-estimation-problems-in-randomized-smoothing-for-adversarial-robustness-2406.17830"/></url>
<url><loc>https://scifaro.com/en/abs/learning-for-bandits-under-action-erasures-2406.18072</loc><lastmod>2024-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-for-bandits-under-action-erasures-2406.18072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-for-bandits-under-action-erasures-2406.18072"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-deep-neural-networks-for-nonparametric-estimation-in-high-dimensional-sparse-regression-2406.18137</loc><lastmod>2024-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-deep-neural-networks-for-nonparametric-estimation-in-high-dimensional-sparse-regression-2406.18137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-deep-neural-networks-for-nonparametric-estimation-in-high-dimensional-sparse-regression-2406.18137"/></url>
<url><loc>https://scifaro.com/en/abs/boundary-detection-algorithm-inspired-by-locally-linear-embedding-2406.18456</loc><lastmod>2025-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boundary-detection-algorithm-inspired-by-locally-linear-embedding-2406.18456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boundary-detection-algorithm-inspired-by-locally-linear-embedding-2406.18456"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-spanning-tree-reconstruction-in-symbolic-regression-2406.18612</loc><lastmod>2024-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-spanning-tree-reconstruction-in-symbolic-regression-2406.18612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-spanning-tree-reconstruction-in-symbolic-regression-2406.18612"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-least-squares-regression-via-averaged-stochastic-gradient-descent-2406.18623</loc><lastmod>2025-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-least-squares-regression-via-averaged-stochastic-gradient-descent-2406.18623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-least-squares-regression-via-averaged-stochastic-gradient-descent-2406.18623"/></url>
<url><loc>https://scifaro.com/en/abs/density-ratio-estimation-via-sampling-along-generalized-geodesics-on-statistical-manifolds-2406.18806</loc><lastmod>2024-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/density-ratio-estimation-via-sampling-along-generalized-geodesics-on-statistical-manifolds-2406.18806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/density-ratio-estimation-via-sampling-along-generalized-geodesics-on-statistical-manifolds-2406.18806"/></url>
<url><loc>https://scifaro.com/en/abs/length-optimization-in-conformal-prediction-2406.18814</loc><lastmod>2024-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/length-optimization-in-conformal-prediction-2406.18814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/length-optimization-in-conformal-prediction-2406.18814"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-test-for-feature-selection-pipelines-by-selective-inference-2406.18902</loc><lastmod>2024-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-test-for-feature-selection-pipelines-by-selective-inference-2406.18902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-test-for-feature-selection-pipelines-by-selective-inference-2406.18902"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-piecewise-deterministic-monte-carlo-samplers-2406.19051</loc><lastmod>2024-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-piecewise-deterministic-monte-carlo-samplers-2406.19051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-piecewise-deterministic-monte-carlo-samplers-2406.19051"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-calibration-of-stochastic-agent-based-model-via-random-forest-2406.19524</loc><lastmod>2024-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-calibration-of-stochastic-agent-based-model-via-random-forest-2406.19524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-calibration-of-stochastic-agent-based-model-via-random-forest-2406.19524"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-evaluation-with-deeply-abstracted-states-2406.19531</loc><lastmod>2025-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-evaluation-with-deeply-abstracted-states-2406.19531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-evaluation-with-deeply-abstracted-states-2406.19531"/></url>
<url><loc>https://scifaro.com/en/abs/scorefusion-fusing-score-based-generative-models-via-kullback-leibler-barycenters-2406.19619</loc><lastmod>2025-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scorefusion-fusing-score-based-generative-models-via-kullback-leibler-barycenters-2406.19619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scorefusion-fusing-score-based-generative-models-via-kullback-leibler-barycenters-2406.19619"/></url>
<url><loc>https://scifaro.com/en/abs/kolmogorov-smirnov-gan-2406.19948</loc><lastmod>2024-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kolmogorov-smirnov-gan-2406.19948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kolmogorov-smirnov-gan-2406.19948"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-computational-efficiency-of-bayesian-additive-regression-trees-an-asymptotic-analysis-2406.19958</loc><lastmod>2026-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-computational-efficiency-of-bayesian-additive-regression-trees-an-asymptotic-analysis-2406.19958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-computational-efficiency-of-bayesian-additive-regression-trees-an-asymptotic-analysis-2406.19958"/></url>
<url><loc>https://scifaro.com/en/abs/clusterpath-gaussian-graphical-modeling-2407.00644</loc><lastmod>2026-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clusterpath-gaussian-graphical-modeling-2407.00644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clusterpath-gaussian-graphical-modeling-2407.00644"/></url>
<url><loc>https://scifaro.com/en/abs/particle-semi-implicit-variational-inference-2407.00649</loc><lastmod>2025-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-semi-implicit-variational-inference-2407.00649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-semi-implicit-variational-inference-2407.00649"/></url>
<url><loc>https://scifaro.com/en/abs/d-cdlf-decomposition-of-common-and-distinctive-latent-factors-for-multi-view-high-dimensional-data-2407.00730</loc><lastmod>2024-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/d-cdlf-decomposition-of-common-and-distinctive-latent-factors-for-multi-view-high-dimensional-data-2407.00730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/d-cdlf-decomposition-of-common-and-distinctive-latent-factors-for-multi-view-high-dimensional-data-2407.00730"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-entropy-neural-networks-for-physics-aware-prediction-2407.01015</loc><lastmod>2024-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-entropy-neural-networks-for-physics-aware-prediction-2407.01015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-entropy-neural-networks-for-physics-aware-prediction-2407.01015"/></url>
<url><loc>https://scifaro.com/en/abs/on-statistical-rates-and-provably-efficient-criteria-of-latent-diffusion-transformers-dits-2407.01079</loc><lastmod>2024-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-statistical-rates-and-provably-efficient-criteria-of-latent-diffusion-transformers-dits-2407.01079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-statistical-rates-and-provably-efficient-criteria-of-latent-diffusion-transformers-dits-2407.01079"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-the-role-of-data-enrichment-approaches-towards-rare-event-analysis-in-manufacturing-2407.01644</loc><lastmod>2024-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-the-role-of-data-enrichment-approaches-towards-rare-event-analysis-in-manufacturing-2407.01644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-the-role-of-data-enrichment-approaches-towards-rare-event-analysis-in-manufacturing-2407.01644"/></url>
<url><loc>https://scifaro.com/en/abs/everything-that-can-be-learned-about-a-causal-structure-with-latent-variables-by-observational-and-interventional-probing-schemes-2407.01686</loc><lastmod>2024-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/everything-that-can-be-learned-about-a-causal-structure-with-latent-variables-by-observational-and-interventional-probing-schemes-2407.01686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/everything-that-can-be-learned-about-a-causal-structure-with-latent-variables-by-observational-and-interventional-probing-schemes-2407.01686"/></url>
<url><loc>https://scifaro.com/en/abs/entropic-optimal-transport-eigenmaps-for-nonlinear-alignment-and-joint-embedding-of-high-dimensional-datasets-2407.01718</loc><lastmod>2024-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropic-optimal-transport-eigenmaps-for-nonlinear-alignment-and-joint-embedding-of-high-dimensional-datasets-2407.01718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropic-optimal-transport-eigenmaps-for-nonlinear-alignment-and-joint-embedding-of-high-dimensional-datasets-2407.01718"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-conformal-prediction-with-approximate-conditional-validity-2407.01794</loc><lastmod>2024-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-conformal-prediction-with-approximate-conditional-validity-2407.01794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-conformal-prediction-with-approximate-conditional-validity-2407.01794"/></url>
<url><loc>https://scifaro.com/en/abs/to-switch-or-not-to-switch-balanced-policy-switching-in-offline-reinforcement-learning-2407.01837</loc><lastmod>2025-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/to-switch-or-not-to-switch-balanced-policy-switching-in-offline-reinforcement-learning-2407.01837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/to-switch-or-not-to-switch-balanced-policy-switching-in-offline-reinforcement-learning-2407.01837"/></url>
<url><loc>https://scifaro.com/en/abs/the-epistemic-uncertainty-hole-an-issue-of-bayesian-neural-networks-2407.01985</loc><lastmod>2024-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-epistemic-uncertainty-hole-an-issue-of-bayesian-neural-networks-2407.01985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-epistemic-uncertainty-hole-an-issue-of-bayesian-neural-networks-2407.01985"/></url>
<url><loc>https://scifaro.com/en/abs/feynman-kac-operator-expectation-estimator-2407.02010</loc><lastmod>2024-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feynman-kac-operator-expectation-estimator-2407.02010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feynman-kac-operator-expectation-estimator-2407.02010"/></url>
<url><loc>https://scifaro.com/en/abs/distributional-regression-u-nets-for-the-postprocessing-of-precipitation-ensemble-forecasts-2407.02125</loc><lastmod>2024-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributional-regression-u-nets-for-the-postprocessing-of-precipitation-ensemble-forecasts-2407.02125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributional-regression-u-nets-for-the-postprocessing-of-precipitation-ensemble-forecasts-2407.02125"/></url>
<url><loc>https://scifaro.com/en/abs/analytical-solution-of-a-three-layer-network-with-a-matrix-exponential-activation-function-2407.02540</loc><lastmod>2024-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analytical-solution-of-a-three-layer-network-with-a-matrix-exponential-activation-function-2407.02540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analytical-solution-of-a-three-layer-network-with-a-matrix-exponential-activation-function-2407.02540"/></url>
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<url><loc>https://scifaro.com/en/abs/optimal-thresholds-and-algorithms-for-a-model-of-multi-modal-learning-in-high-dimensions-2407.03522</loc><lastmod>2025-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-thresholds-and-algorithms-for-a-model-of-multi-modal-learning-in-high-dimensions-2407.03522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-thresholds-and-algorithms-for-a-model-of-multi-modal-learning-in-high-dimensions-2407.03522"/></url>
<url><loc>https://scifaro.com/en/abs/an-axiomatic-definition-of-hierarchical-clustering-2407.03574</loc><lastmod>2024-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-axiomatic-definition-of-hierarchical-clustering-2407.03574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-axiomatic-definition-of-hierarchical-clustering-2407.03574"/></url>
<url><loc>https://scifaro.com/en/abs/geodesic-optimization-for-predictive-shift-adaptation-on-eeg-data-2407.03878</loc><lastmod>2024-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geodesic-optimization-for-predictive-shift-adaptation-on-eeg-data-2407.03878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geodesic-optimization-for-predictive-shift-adaptation-on-eeg-data-2407.03878"/></url>
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<url><loc>https://scifaro.com/en/abs/linear-causal-disentanglement-via-higher-order-cumulants-2407.04605</loc><lastmod>2024-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-causal-disentanglement-via-higher-order-cumulants-2407.04605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-causal-disentanglement-via-higher-order-cumulants-2407.04605"/></url>
<url><loc>https://scifaro.com/en/abs/agnostic-private-density-estimation-for-gmms-via-list-global-stability-2407.04783</loc><lastmod>2024-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agnostic-private-density-estimation-for-gmms-via-list-global-stability-2407.04783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agnostic-private-density-estimation-for-gmms-via-list-global-stability-2407.04783"/></url>
<url><loc>https://scifaro.com/en/abs/training-guarantees-of-neural-network-classification-two-sample-tests-by-kernel-analysis-2407.04806</loc><lastmod>2024-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-guarantees-of-neural-network-classification-two-sample-tests-by-kernel-analysis-2407.04806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-guarantees-of-neural-network-classification-two-sample-tests-by-kernel-analysis-2407.04806"/></url>
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<url><loc>https://scifaro.com/en/abs/how-dnns-break-the-curse-of-dimensionality-compositionality-and-symmetry-learning-2407.05664</loc><lastmod>2025-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-dnns-break-the-curse-of-dimensionality-compositionality-and-symmetry-learning-2407.05664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-dnns-break-the-curse-of-dimensionality-compositionality-and-symmetry-learning-2407.05664"/></url>
<url><loc>https://scifaro.com/en/abs/simulation-based-benchmarking-for-causal-structure-learning-in-gene-perturbation-experiments-2407.06015</loc><lastmod>2024-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulation-based-benchmarking-for-causal-structure-learning-in-gene-perturbation-experiments-2407.06015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulation-based-benchmarking-for-causal-structure-learning-in-gene-perturbation-experiments-2407.06015"/></url>
<url><loc>https://scifaro.com/en/abs/open-problem-tight-bounds-for-kernelized-multi-armed-bandits-with-bernoulli-rewards-2407.06321</loc><lastmod>2024-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-problem-tight-bounds-for-kernelized-multi-armed-bandits-with-bernoulli-rewards-2407.06321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-problem-tight-bounds-for-kernelized-multi-armed-bandits-with-bernoulli-rewards-2407.06321"/></url>
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<url><loc>https://scifaro.com/en/abs/improving-out-of-distribution-detection-by-combining-existing-post-hoc-methods-2407.07135</loc><lastmod>2024-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-out-of-distribution-detection-by-combining-existing-post-hoc-methods-2407.07135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-out-of-distribution-detection-by-combining-existing-post-hoc-methods-2407.07135"/></url>
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<url><loc>https://scifaro.com/en/abs/stochastic-gradient-descent-for-two-layer-neural-networks-2407.07670</loc><lastmod>2024-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-descent-for-two-layer-neural-networks-2407.07670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-descent-for-two-layer-neural-networks-2407.07670"/></url>
<url><loc>https://scifaro.com/en/abs/split-conformal-prediction-under-data-contamination-2407.07700</loc><lastmod>2025-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/split-conformal-prediction-under-data-contamination-2407.07700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/split-conformal-prediction-under-data-contamination-2407.07700"/></url>
<url><loc>https://scifaro.com/en/abs/density-estimation-via-binless-multidimensional-integration-2407.08094</loc><lastmod>2026-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/density-estimation-via-binless-multidimensional-integration-2407.08094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/density-estimation-via-binless-multidimensional-integration-2407.08094"/></url>
<url><loc>https://scifaro.com/en/abs/causal-inference-through-multi-stage-learning-and-doubly-robust-deep-neural-networks-2407.08560</loc><lastmod>2024-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-inference-through-multi-stage-learning-and-doubly-robust-deep-neural-networks-2407.08560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-inference-through-multi-stage-learning-and-doubly-robust-deep-neural-networks-2407.08560"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-smooth-non-stationary-bandits-2407.08654</loc><lastmod>2025-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-smooth-non-stationary-bandits-2407.08654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-smooth-non-stationary-bandits-2407.08654"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-spatial-extremal-dependence-of-precipitation-using-distributional-neural-networks-2407.08668</loc><lastmod>2026-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-spatial-extremal-dependence-of-precipitation-using-distributional-neural-networks-2407.08668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-spatial-extremal-dependence-of-precipitation-using-distributional-neural-networks-2407.08668"/></url>
<url><loc>https://scifaro.com/en/abs/online-distributional-regression-2407.08750</loc><lastmod>2026-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-distributional-regression-2407.08750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-distributional-regression-2407.08750"/></url>
<url><loc>https://scifaro.com/en/abs/computational-statistical-trade-off-in-kernel-two-sample-testing-with-random-fourier-features-2407.08976</loc><lastmod>2026-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computational-statistical-trade-off-in-kernel-two-sample-testing-with-random-fourier-features-2407.08976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computational-statistical-trade-off-in-kernel-two-sample-testing-with-random-fourier-features-2407.08976"/></url>
<url><loc>https://scifaro.com/en/abs/advanced-graph-clustering-methods-a-comprehensive-and-in-depth-analysis-2407.09055</loc><lastmod>2024-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advanced-graph-clustering-methods-a-comprehensive-and-in-depth-analysis-2407.09055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advanced-graph-clustering-methods-a-comprehensive-and-in-depth-analysis-2407.09055"/></url>
<url><loc>https://scifaro.com/en/abs/meta-analysis-with-untrusted-data-2407.09387</loc><lastmod>2024-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-analysis-with-untrusted-data-2407.09387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-analysis-with-untrusted-data-2407.09387"/></url>
<url><loc>https://scifaro.com/en/abs/granger-causality-in-extremes-2407.09632</loc><lastmod>2024-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/granger-causality-in-extremes-2407.09632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/granger-causality-in-extremes-2407.09632"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-epoch-wise-double-descent-in-two-layer-linear-neural-networks-2407.09845</loc><lastmod>2024-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-epoch-wise-double-descent-in-two-layer-linear-neural-networks-2407.09845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-epoch-wise-double-descent-in-two-layer-linear-neural-networks-2407.09845"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-aggregation-of-conformity-scores-for-classification-2407.10230</loc><lastmod>2025-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-aggregation-of-conformity-scores-for-classification-2407.10230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-aggregation-of-conformity-scores-for-classification-2407.10230"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-normality-of-generalized-low-rank-matrix-sensing-via-riemannian-geometry-2407.10238</loc><lastmod>2025-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-normality-of-generalized-low-rank-matrix-sensing-via-riemannian-geometry-2407.10238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-normality-of-generalized-low-rank-matrix-sensing-via-riemannian-geometry-2407.10238"/></url>
<url><loc>https://scifaro.com/en/abs/augmented-prediction-of-a-true-class-for-positive-unlabeled-data-under-selection-bias-2407.10309</loc><lastmod>2024-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmented-prediction-of-a-true-class-for-positive-unlabeled-data-under-selection-bias-2407.10309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmented-prediction-of-a-true-class-for-positive-unlabeled-data-under-selection-bias-2407.10309"/></url>
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<url><loc>https://scifaro.com/en/abs/flow-perturbation-to-accelerate-unbiased-sampling-of-boltzmann-distribution-2407.10666</loc><lastmod>2024-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flow-perturbation-to-accelerate-unbiased-sampling-of-boltzmann-distribution-2407.10666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flow-perturbation-to-accelerate-unbiased-sampling-of-boltzmann-distribution-2407.10666"/></url>
<url><loc>https://scifaro.com/en/abs/principal-component-flow-map-learning-of-pdes-from-incomplete-limited-and-noisy-data-2407.10854</loc><lastmod>2024-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principal-component-flow-map-learning-of-pdes-from-incomplete-limited-and-noisy-data-2407.10854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principal-component-flow-map-learning-of-pdes-from-incomplete-limited-and-noisy-data-2407.10854"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-stochastic-optimization-for-statistical-efficiency-using-root-sgd-with-diminishing-stepsize-2407.10955</loc><lastmod>2024-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-stochastic-optimization-for-statistical-efficiency-using-root-sgd-with-diminishing-stepsize-2407.10955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-stochastic-optimization-for-statistical-efficiency-using-root-sgd-with-diminishing-stepsize-2407.10955"/></url>
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<url><loc>https://scifaro.com/en/abs/sharp-generalization-for-nonparametric-regression-in-interpolation-space-by-over-parameterized-neural-networks-trained-with-preconditioned-gradient-descent-and-early-stopping-2407.11353</loc><lastmod>2025-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sharp-generalization-for-nonparametric-regression-in-interpolation-space-by-over-parameterized-neural-networks-trained-with-preconditioned-gradient-descent-and-early-stopping-2407.11353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sharp-generalization-for-nonparametric-regression-in-interpolation-space-by-over-parameterized-neural-networks-trained-with-preconditioned-gradient-descent-and-early-stopping-2407.11353"/></url>
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<url><loc>https://scifaro.com/en/abs/information-theoretic-foundations-for-machine-learning-2407.12288</loc><lastmod>2025-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-foundations-for-machine-learning-2407.12288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-foundations-for-machine-learning-2407.12288"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-monte-carlo-for-bayesian-learning-2407.12751</loc><lastmod>2024-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-monte-carlo-for-bayesian-learning-2407.12751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-monte-carlo-for-bayesian-learning-2407.12751"/></url>
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<url><loc>https://scifaro.com/en/abs/fighting-sampling-bias-a-framework-for-training-and-evaluating-credit-scoring-models-2407.13009</loc><lastmod>2024-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fighting-sampling-bias-a-framework-for-training-and-evaluating-credit-scoring-models-2407.13009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fighting-sampling-bias-a-framework-for-training-and-evaluating-credit-scoring-models-2407.13009"/></url>
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<url><loc>https://scifaro.com/en/abs/regression-under-demographic-parity-constraints-via-unlabeled-post-processing-2407.15453</loc><lastmod>2024-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regression-under-demographic-parity-constraints-via-unlabeled-post-processing-2407.15453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regression-under-demographic-parity-constraints-via-unlabeled-post-processing-2407.15453"/></url>
<url><loc>https://scifaro.com/en/abs/score-matching-for-bridges-without-learning-time-reversals-2407.15455</loc><lastmod>2025-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/score-matching-for-bridges-without-learning-time-reversals-2407.15455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/score-matching-for-bridges-without-learning-time-reversals-2407.15455"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-shrink-confidence-sets-for-many-equivalent-discrete-distributions-2407.15662</loc><lastmod>2024-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-shrink-confidence-sets-for-many-equivalent-discrete-distributions-2407.15662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-shrink-confidence-sets-for-many-equivalent-discrete-distributions-2407.15662"/></url>
<url><loc>https://scifaro.com/en/abs/softcvi-contrastive-variational-inference-with-self-generated-soft-labels-2407.15687</loc><lastmod>2025-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/softcvi-contrastive-variational-inference-with-self-generated-soft-labels-2407.15687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/softcvi-contrastive-variational-inference-with-self-generated-soft-labels-2407.15687"/></url>
<url><loc>https://scifaro.com/en/abs/artificial-intelligence-based-decision-support-systems-for-precision-and-digital-health-2407.16062</loc><lastmod>2024-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/artificial-intelligence-based-decision-support-systems-for-precision-and-digital-health-2407.16062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/artificial-intelligence-based-decision-support-systems-for-precision-and-digital-health-2407.16062"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-autoregressive-online-change-point-detection-with-time-varying-parameters-2407.16376</loc><lastmod>2025-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-autoregressive-online-change-point-detection-with-time-varying-parameters-2407.16376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-autoregressive-online-change-point-detection-with-time-varying-parameters-2407.16376"/></url>
<url><loc>https://scifaro.com/en/abs/neural-information-field-filter-2407.16502</loc><lastmod>2024-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-information-field-filter-2407.16502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-information-field-filter-2407.16502"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-automotive-supply-chain-shortfalls-with-heterogeneous-time-series-2407.16739</loc><lastmod>2025-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-automotive-supply-chain-shortfalls-with-heterogeneous-time-series-2407.16739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-automotive-supply-chain-shortfalls-with-heterogeneous-time-series-2407.16739"/></url>
<url><loc>https://scifaro.com/en/abs/federated-automatic-latent-variable-selection-in-multi-output-gaussian-processes-2407.16935</loc><lastmod>2024-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-automatic-latent-variable-selection-in-multi-output-gaussian-processes-2407.16935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-automatic-latent-variable-selection-in-multi-output-gaussian-processes-2407.16935"/></url>
<url><loc>https://scifaro.com/en/abs/provable-benefit-of-annealed-langevin-monte-carlo-for-non-log-concave-sampling-2407.16936</loc><lastmod>2025-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-benefit-of-annealed-langevin-monte-carlo-for-non-log-concave-sampling-2407.16936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-benefit-of-annealed-langevin-monte-carlo-for-non-log-concave-sampling-2407.16936"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-variance-reduced-iterative-hard-thresholding-in-graph-sparsity-optimization-2407.16968</loc><lastmod>2024-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-variance-reduced-iterative-hard-thresholding-in-graph-sparsity-optimization-2407.16968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-variance-reduced-iterative-hard-thresholding-in-graph-sparsity-optimization-2407.16968"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-procedure-for-computing-bayesian-network-structure-learning-2407.17072</loc><lastmod>2024-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-procedure-for-computing-bayesian-network-structure-learning-2407.17072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-procedure-for-computing-bayesian-network-structure-learning-2407.17072"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-of-surrogate-policies-for-combinatorial-optimization-problems-2407.17200</loc><lastmod>2026-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-of-surrogate-policies-for-combinatorial-optimization-problems-2407.17200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-of-surrogate-policies-for-combinatorial-optimization-problems-2407.17200"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-federated-kernel-regularized-least-squares-algorithm-2407.17228</loc><lastmod>2024-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-federated-kernel-regularized-least-squares-algorithm-2407.17228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-federated-kernel-regularized-least-squares-algorithm-2407.17228"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-batch-based-bearing-fault-detection-2407.17236</loc><lastmod>2024-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-batch-based-bearing-fault-detection-2407.17236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-batch-based-bearing-fault-detection-2407.17236"/></url>
<url><loc>https://scifaro.com/en/abs/enhanced-feature-learning-via-regularisation-integrating-neural-networks-and-kernel-methods-2407.17280</loc><lastmod>2025-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhanced-feature-learning-via-regularisation-integrating-neural-networks-and-kernel-methods-2407.17280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhanced-feature-learning-via-regularisation-integrating-neural-networks-and-kernel-methods-2407.17280"/></url>
<url><loc>https://scifaro.com/en/abs/enhanced-smc-2-leveraging-gradient-information-from-differentiable-particle-filters-within-langevin-proposals-2407.17296</loc><lastmod>2024-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhanced-smc-2-leveraging-gradient-information-from-differentiable-particle-filters-within-langevin-proposals-2407.17296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhanced-smc-2-leveraging-gradient-information-from-differentiable-particle-filters-within-langevin-proposals-2407.17296"/></url>
<url><loc>https://scifaro.com/en/abs/low-dimensional-representation-of-multi-patient-flow-cytometry-datasets-using-optimal-transport-for-minimal-residual-disease-detection-in-leukemia-2407.17329</loc><lastmod>2025-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-dimensional-representation-of-multi-patient-flow-cytometry-datasets-using-optimal-transport-for-minimal-residual-disease-detection-in-leukemia-2407.17329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-dimensional-representation-of-multi-patient-flow-cytometry-datasets-using-optimal-transport-for-minimal-residual-disease-detection-in-leukemia-2407.17329"/></url>
<url><loc>https://scifaro.com/en/abs/fractional-signature-a-generalisation-of-the-signature-inspired-by-fractional-calculus-2407.17446</loc><lastmod>2025-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fractional-signature-a-generalisation-of-the-signature-inspired-by-fractional-calculus-2407.17446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fractional-signature-a-generalisation-of-the-signature-inspired-by-fractional-calculus-2407.17446"/></url>
<url><loc>https://scifaro.com/en/abs/causal-deepsets-for-off-policy-evaluation-under-spatial-or-spatio-temporal-interferences-2407.17910</loc><lastmod>2024-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-deepsets-for-off-policy-evaluation-under-spatial-or-spatio-temporal-interferences-2407.17910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-deepsets-for-off-policy-evaluation-under-spatial-or-spatio-temporal-interferences-2407.17910"/></url>
<url><loc>https://scifaro.com/en/abs/fast-convergence-of-the-expectation-maximization-algorithm-under-a-logarithmic-sobolev-inequality-2407.17949</loc><lastmod>2025-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-convergence-of-the-expectation-maximization-algorithm-under-a-logarithmic-sobolev-inequality-2407.17949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-convergence-of-the-expectation-maximization-algorithm-under-a-logarithmic-sobolev-inequality-2407.17949"/></url>
<url><loc>https://scifaro.com/en/abs/unlocking-tokens-as-data-points-for-generalization-bounds-on-larger-language-models-2407.18158</loc><lastmod>2024-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unlocking-tokens-as-data-points-for-generalization-bounds-on-larger-language-models-2407.18158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unlocking-tokens-as-data-points-for-generalization-bounds-on-larger-language-models-2407.18158"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-the-number-of-clusters-of-a-block-markov-chain-2407.18287</loc><lastmod>2024-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-the-number-of-clusters-of-a-block-markov-chain-2407.18287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-the-number-of-clusters-of-a-block-markov-chain-2407.18287"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-interpretable-machine-learning-by-functional-decomposition-of-black-box-models-into-explainable-predictor-effects-2407.18650</loc><lastmod>2024-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-interpretable-machine-learning-by-functional-decomposition-of-black-box-models-into-explainable-predictor-effects-2407.18650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-interpretable-machine-learning-by-functional-decomposition-of-black-box-models-into-explainable-predictor-effects-2407.18650"/></url>
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<url><loc>https://scifaro.com/en/abs/log-concave-coupling-for-sampling-neural-net-posteriors-2407.18802</loc><lastmod>2024-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/log-concave-coupling-for-sampling-neural-net-posteriors-2407.18802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/log-concave-coupling-for-sampling-neural-net-posteriors-2407.18802"/></url>
<url><loc>https://scifaro.com/en/abs/learning-chaotic-systems-and-long-term-predictions-with-neural-jump-odes-2407.18808</loc><lastmod>2024-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-chaotic-systems-and-long-term-predictions-with-neural-jump-odes-2407.18808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-chaotic-systems-and-long-term-predictions-with-neural-jump-odes-2407.18808"/></url>
<url><loc>https://scifaro.com/en/abs/flusion-integrating-multiple-data-sources-for-accurate-influenza-predictions-2407.19054</loc><lastmod>2024-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flusion-integrating-multiple-data-sources-for-accurate-influenza-predictions-2407.19054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flusion-integrating-multiple-data-sources-for-accurate-influenza-predictions-2407.19054"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-meta-learning-for-trustworthy-uncertainty-quantification-2407.19287</loc><lastmod>2024-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-meta-learning-for-trustworthy-uncertainty-quantification-2407.19287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-meta-learning-for-trustworthy-uncertainty-quantification-2407.19287"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-quantification-of-data-shapley-via-statistical-inference-2407.19373</loc><lastmod>2024-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-quantification-of-data-shapley-via-statistical-inference-2407.19373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-quantification-of-data-shapley-via-statistical-inference-2407.19373"/></url>
<url><loc>https://scifaro.com/en/abs/piecewise-deterministic-generative-models-2407.19448</loc><lastmod>2024-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/piecewise-deterministic-generative-models-2407.19448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/piecewise-deterministic-generative-models-2407.19448"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-for-regression-and-classification-on-adaptive-covering-input-domains-2407.19715</loc><lastmod>2024-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-for-regression-and-classification-on-adaptive-covering-input-domains-2407.19715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-for-regression-and-classification-on-adaptive-covering-input-domains-2407.19715"/></url>
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<url><loc>https://scifaro.com/en/abs/weak-neural-variational-inference-for-solving-bayesian-inverse-problems-without-forward-models-applications-in-elastography-2407.20697</loc><lastmod>2024-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weak-neural-variational-inference-for-solving-bayesian-inverse-problems-without-forward-models-applications-in-elastography-2407.20697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weak-neural-variational-inference-for-solving-bayesian-inverse-problems-without-forward-models-applications-in-elastography-2407.20697"/></url>
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<url><loc>https://scifaro.com/en/abs/analyzing-customer-facing-vendor-experiences-with-time-series-forecasting-and-monte-carlo-techniques-2407.21193</loc><lastmod>2024-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-customer-facing-vendor-experiences-with-time-series-forecasting-and-monte-carlo-techniques-2407.21193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-customer-facing-vendor-experiences-with-time-series-forecasting-and-monte-carlo-techniques-2407.21193"/></url>
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<url><loc>https://scifaro.com/en/abs/extended-fiducial-inference-toward-an-automated-process-of-statistical-inference-2407.21622</loc><lastmod>2024-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extended-fiducial-inference-toward-an-automated-process-of-statistical-inference-2407.21622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extended-fiducial-inference-toward-an-automated-process-of-statistical-inference-2407.21622"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-for-collaborative-machine-learning-under-statistical-heterogeneity-2408.00050</loc><lastmod>2024-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-for-collaborative-machine-learning-under-statistical-heterogeneity-2408.00050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-for-collaborative-machine-learning-under-statistical-heterogeneity-2408.00050"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-robust-optimization-as-a-scalable-framework-to-characterize-extreme-value-distributions-2408.00131</loc><lastmod>2024-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-robust-optimization-as-a-scalable-framework-to-characterize-extreme-value-distributions-2408.00131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-robust-optimization-as-a-scalable-framework-to-characterize-extreme-value-distributions-2408.00131"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-bayes-linked-matrix-decomposition-2408.00237</loc><lastmod>2024-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-bayes-linked-matrix-decomposition-2408.00237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-bayes-linked-matrix-decomposition-2408.00237"/></url>
<url><loc>https://scifaro.com/en/abs/alpha-vi-deeponet-a-prior-robust-variational-bayesian-approach-for-enhancing-deeponets-with-uncertainty-quantification-2408.00681</loc><lastmod>2025-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alpha-vi-deeponet-a-prior-robust-variational-bayesian-approach-for-enhancing-deeponets-with-uncertainty-quantification-2408.00681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alpha-vi-deeponet-a-prior-robust-variational-bayesian-approach-for-enhancing-deeponets-with-uncertainty-quantification-2408.00681"/></url>
<url><loc>https://scifaro.com/en/abs/penalty-learning-for-optimal-partitioning-using-multilayer-perceptron-2408.00856</loc><lastmod>2025-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/penalty-learning-for-optimal-partitioning-using-multilayer-perceptron-2408.00856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/penalty-learning-for-optimal-partitioning-using-multilayer-perceptron-2408.00856"/></url>
<url><loc>https://scifaro.com/en/abs/aggregation-models-with-optimal-weights-for-distributed-gaussian-processes-2408.00955</loc><lastmod>2026-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aggregation-models-with-optimal-weights-for-distributed-gaussian-processes-2408.00955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aggregation-models-with-optimal-weights-for-distributed-gaussian-processes-2408.00955"/></url>
<url><loc>https://scifaro.com/en/abs/meta-anova-screening-interactions-for-interpretable-machine-learning-2408.00973</loc><lastmod>2024-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-anova-screening-interactions-for-interpretable-machine-learning-2408.00973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-anova-screening-interactions-for-interpretable-machine-learning-2408.00973"/></url>
<url><loc>https://scifaro.com/en/abs/a-family-of-distributions-of-random-subsets-for-controlling-positive-and-negative-dependence-2408.01022</loc><lastmod>2025-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-family-of-distributions-of-random-subsets-for-controlling-positive-and-negative-dependence-2408.01022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-family-of-distributions-of-random-subsets-for-controlling-positive-and-negative-dependence-2408.01022"/></url>
<url><loc>https://scifaro.com/en/abs/universality-of-kernel-random-matrices-and-kernel-regression-in-the-quadratic-regime-2408.01062</loc><lastmod>2025-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universality-of-kernel-random-matrices-and-kernel-regression-in-the-quadratic-regime-2408.01062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universality-of-kernel-random-matrices-and-kernel-regression-in-the-quadratic-regime-2408.01062"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-robustness-of-machine-learning-models-using-covariate-perturbations-2408.01300</loc><lastmod>2024-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-robustness-of-machine-learning-models-using-covariate-perturbations-2408.01300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-robustness-of-machine-learning-models-using-covariate-perturbations-2408.01300"/></url>
<url><loc>https://scifaro.com/en/abs/a-decision-driven-methodology-for-designing-uncertainty-aware-ai-self-assessment-2408.01301</loc><lastmod>2024-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-decision-driven-methodology-for-designing-uncertainty-aware-ai-self-assessment-2408.01301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-decision-driven-methodology-for-designing-uncertainty-aware-ai-self-assessment-2408.01301"/></url>
<url><loc>https://scifaro.com/en/abs/point-prediction-for-streaming-data-2408.01318</loc><lastmod>2024-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/point-prediction-for-streaming-data-2408.01318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/point-prediction-for-streaming-data-2408.01318"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-linear-regression-when-noises-and-covariates-are-heavy-tailed-and-contaminated-by-outliers-2408.01336</loc><lastmod>2024-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-linear-regression-when-noises-and-covariates-are-heavy-tailed-and-contaminated-by-outliers-2408.01336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-linear-regression-when-noises-and-covariates-are-heavy-tailed-and-contaminated-by-outliers-2408.01336"/></url>
<url><loc>https://scifaro.com/en/abs/autoencoders-in-function-space-2408.01362</loc><lastmod>2025-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoencoders-in-function-space-2408.01362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoencoders-in-function-space-2408.01362"/></url>
<url><loc>https://scifaro.com/en/abs/resampling-and-averaging-coordinates-on-data-2408.01379</loc><lastmod>2024-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resampling-and-averaging-coordinates-on-data-2408.01379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resampling-and-averaging-coordinates-on-data-2408.01379"/></url>
<url><loc>https://scifaro.com/en/abs/conformal-diffusion-models-for-individual-treatment-effect-estimation-and-inference-2408.01582</loc><lastmod>2024-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformal-diffusion-models-for-individual-treatment-effect-estimation-and-inference-2408.01582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformal-diffusion-models-for-individual-treatment-effect-estimation-and-inference-2408.01582"/></url>
<url><loc>https://scifaro.com/en/abs/cost-constrained-multi-label-group-feature-selection-using-shadow-features-2408.01851</loc><lastmod>2024-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-constrained-multi-label-group-feature-selection-using-shadow-features-2408.01851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-constrained-multi-label-group-feature-selection-using-shadow-features-2408.01851"/></url>
<url><loc>https://scifaro.com/en/abs/meta-posterior-consistency-for-the-bayesian-inference-of-metastable-system-2408.01868</loc><lastmod>2025-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-posterior-consistency-for-the-bayesian-inference-of-metastable-system-2408.01868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-posterior-consistency-for-the-bayesian-inference-of-metastable-system-2408.01868"/></url>
<url><loc>https://scifaro.com/en/abs/dna-se-towards-deep-neural-nets-assisted-semiparametric-estimation-2408.02045</loc><lastmod>2024-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dna-se-towards-deep-neural-nets-assisted-semiparametric-estimation-2408.02045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dna-se-towards-deep-neural-nets-assisted-semiparametric-estimation-2408.02045"/></url>
<url><loc>https://scifaro.com/en/abs/quantile-regression-using-random-forest-proximities-2408.02355</loc><lastmod>2024-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantile-regression-using-random-forest-proximities-2408.02355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantile-regression-using-random-forest-proximities-2408.02355"/></url>
<url><loc>https://scifaro.com/en/abs/on-probabilistic-embeddings-in-optimal-dimension-reduction-2408.02433</loc><lastmod>2024-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-probabilistic-embeddings-in-optimal-dimension-reduction-2408.02433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-probabilistic-embeddings-in-optimal-dimension-reduction-2408.02433"/></url>
<url><loc>https://scifaro.com/en/abs/mini-batch-estimation-for-deep-cox-models-statistical-foundations-and-practical-guidance-2408.02839</loc><lastmod>2026-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mini-batch-estimation-for-deep-cox-models-statistical-foundations-and-practical-guidance-2408.02839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mini-batch-estimation-for-deep-cox-models-statistical-foundations-and-practical-guidance-2408.02839"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-posterior-probabilities-decision-theory-proper-scoring-rules-and-calibration-2408.02841</loc><lastmod>2024-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-posterior-probabilities-decision-theory-proper-scoring-rules-and-calibration-2408.02841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-posterior-probabilities-decision-theory-proper-scoring-rules-and-calibration-2408.02841"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-level-set-estimation-using-randomized-straddle-algorithms-2408.03144</loc><lastmod>2024-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-level-set-estimation-using-randomized-straddle-algorithms-2408.03144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-level-set-estimation-using-randomized-straddle-algorithms-2408.03144"/></url>
<url><loc>https://scifaro.com/en/abs/exchangeable-sequence-models-quantify-uncertainty-over-latent-concepts-2408.03307</loc><lastmod>2024-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exchangeable-sequence-models-quantify-uncertainty-over-latent-concepts-2408.03307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exchangeable-sequence-models-quantify-uncertainty-over-latent-concepts-2408.03307"/></url>
<url><loc>https://scifaro.com/en/abs/when-does-the-mean-network-capture-the-topology-of-a-sample-of-networks-2408.03461</loc><lastmod>2024-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-does-the-mean-network-capture-the-topology-of-a-sample-of-networks-2408.03461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-does-the-mean-network-capture-the-topology-of-a-sample-of-networks-2408.03461"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-a-posteriori-estimation-for-linear-structural-dynamics-models-using-bayesian-optimization-with-rational-polynomial-chaos-expansions-2408.03569</loc><lastmod>2024-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-a-posteriori-estimation-for-linear-structural-dynamics-models-using-bayesian-optimization-with-rational-polynomial-chaos-expansions-2408.03569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-a-posteriori-estimation-for-linear-structural-dynamics-models-using-bayesian-optimization-with-rational-polynomial-chaos-expansions-2408.03569"/></url>
<url><loc>https://scifaro.com/en/abs/bayes-optimal-learning-of-an-extensive-width-neural-network-from-quadratically-many-samples-2408.03733</loc><lastmod>2025-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayes-optimal-learning-of-an-extensive-width-neural-network-from-quadratically-many-samples-2408.03733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayes-optimal-learning-of-an-extensive-width-neural-network-from-quadratically-many-samples-2408.03733"/></url>
<url><loc>https://scifaro.com/en/abs/better-locally-private-sparse-estimation-given-multiple-samples-per-user-2408.04313</loc><lastmod>2024-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/better-locally-private-sparse-estimation-given-multiple-samples-per-user-2408.04313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/better-locally-private-sparse-estimation-given-multiple-samples-per-user-2408.04313"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-investigation-of-cross-validation-based-quality-measures-for-model-assessment-2408.04391</loc><lastmod>2024-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-investigation-of-cross-validation-based-quality-measures-for-model-assessment-2408.04391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-investigation-of-cross-validation-based-quality-measures-for-model-assessment-2408.04391"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-reinforcement-learning-breaks-sample-size-barriers-in-linear-mdps-2408.04526</loc><lastmod>2024-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-reinforcement-learning-breaks-sample-size-barriers-in-linear-mdps-2408.04526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-reinforcement-learning-breaks-sample-size-barriers-in-linear-mdps-2408.04526"/></url>
<url><loc>https://scifaro.com/en/abs/inference-with-the-upper-confidence-bound-algorithm-2408.04595</loc><lastmod>2024-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-with-the-upper-confidence-bound-algorithm-2408.04595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-with-the-upper-confidence-bound-algorithm-2408.04595"/></url>
<url><loc>https://scifaro.com/en/abs/risk-and-cross-validation-in-ridge-regression-with-correlated-samples-2408.04607</loc><lastmod>2025-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-and-cross-validation-in-ridge-regression-with-correlated-samples-2408.04607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-and-cross-validation-in-ridge-regression-with-correlated-samples-2408.04607"/></url>
<url><loc>https://scifaro.com/en/abs/a-density-ratio-super-learner-2408.04796</loc><lastmod>2024-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-density-ratio-super-learner-2408.04796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-density-ratio-super-learner-2408.04796"/></url>
<url><loc>https://scifaro.com/en/abs/a-pipeline-for-data-driven-learning-of-topological-features-with-applications-to-protein-stability-prediction-2408.04847</loc><lastmod>2024-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-pipeline-for-data-driven-learning-of-topological-features-with-applications-to-protein-stability-prediction-2408.04847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-pipeline-for-data-driven-learning-of-topological-features-with-applications-to-protein-stability-prediction-2408.04847"/></url>
<url><loc>https://scifaro.com/en/abs/causal-discovery-of-linear-non-gaussian-causal-models-with-unobserved-confounding-2408.04907</loc><lastmod>2024-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-discovery-of-linear-non-gaussian-causal-models-with-unobserved-confounding-2408.04907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-discovery-of-linear-non-gaussian-causal-models-with-unobserved-confounding-2408.04907"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bayesian-phylogenetic-inference-with-semi-implicit-branch-length-distributions-2408.05058</loc><lastmod>2024-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayesian-phylogenetic-inference-with-semi-implicit-branch-length-distributions-2408.05058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayesian-phylogenetic-inference-with-semi-implicit-branch-length-distributions-2408.05058"/></url>
<url><loc>https://scifaro.com/en/abs/on-expected-signatures-and-signature-cumulants-in-semimartingale-models-2408.05085</loc><lastmod>2025-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-expected-signatures-and-signature-cumulants-in-semimartingale-models-2408.05085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-expected-signatures-and-signature-cumulants-in-semimartingale-models-2408.05085"/></url>
<url><loc>https://scifaro.com/en/abs/fastkqr-a-fast-algorithm-for-kernel-quantile-regression-2408.05393</loc><lastmod>2025-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fastkqr-a-fast-algorithm-for-kernel-quantile-regression-2408.05393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fastkqr-a-fast-algorithm-for-kernel-quantile-regression-2408.05393"/></url>
<url><loc>https://scifaro.com/en/abs/latent-class-analysis-for-multi-layer-categorical-data-2408.05535</loc><lastmod>2024-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-class-analysis-for-multi-layer-categorical-data-2408.05535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-class-analysis-for-multi-layer-categorical-data-2408.05535"/></url>
<url><loc>https://scifaro.com/en/abs/s-sirus-an-explainability-algorithm-for-spatial-regression-random-forest-2408.05537</loc><lastmod>2024-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/s-sirus-an-explainability-algorithm-for-spatial-regression-random-forest-2408.05537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/s-sirus-an-explainability-algorithm-for-spatial-regression-random-forest-2408.05537"/></url>
<url><loc>https://scifaro.com/en/abs/fast-convergence-of-a-federated-expectation-maximization-algorithm-2408.05819</loc><lastmod>2026-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-convergence-of-a-federated-expectation-maximization-algorithm-2408.05819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-convergence-of-a-federated-expectation-maximization-algorithm-2408.05819"/></url>
<url><loc>https://scifaro.com/en/abs/divide-and-conquer-predictive-coding-a-structured-bayesian-inference-algorithm-2408.05834</loc><lastmod>2024-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/divide-and-conquer-predictive-coding-a-structured-bayesian-inference-algorithm-2408.05834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/divide-and-conquer-predictive-coding-a-structured-bayesian-inference-algorithm-2408.05834"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-robustness-of-kernel-goodness-of-fit-tests-2408.05854</loc><lastmod>2025-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-robustness-of-kernel-goodness-of-fit-tests-2408.05854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-robustness-of-kernel-goodness-of-fit-tests-2408.05854"/></url>
<url><loc>https://scifaro.com/en/abs/parameters-inference-for-nonlinear-wave-equations-with-markovian-switching-2408.05990</loc><lastmod>2024-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameters-inference-for-nonlinear-wave-equations-with-markovian-switching-2408.05990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameters-inference-for-nonlinear-wave-equations-with-markovian-switching-2408.05990"/></url>
<url><loc>https://scifaro.com/en/abs/reciprocal-learning-2408.06257</loc><lastmod>2024-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reciprocal-learning-2408.06257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reciprocal-learning-2408.06257"/></url>
<url><loc>https://scifaro.com/en/abs/multi-marginal-schr-odinger-bridges-with-iterative-reference-refinement-2408.06277</loc><lastmod>2025-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-marginal-schr-odinger-bridges-with-iterative-reference-refinement-2408.06277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-marginal-schr-odinger-bridges-with-iterative-reference-refinement-2408.06277"/></url>
<url><loc>https://scifaro.com/en/abs/langevin-dynamics-for-high-dimensional-optimization-the-case-of-multi-spiked-tensor-pca-2408.06401</loc><lastmod>2024-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/langevin-dynamics-for-high-dimensional-optimization-the-case-of-multi-spiked-tensor-pca-2408.06401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/langevin-dynamics-for-high-dimensional-optimization-the-case-of-multi-spiked-tensor-pca-2408.06401"/></url>
<url><loc>https://scifaro.com/en/abs/note-on-computational-complexity-of-the-gromov-wasserstein-distance-2408.06525</loc><lastmod>2026-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/note-on-computational-complexity-of-the-gromov-wasserstein-distance-2408.06525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/note-on-computational-complexity-of-the-gromov-wasserstein-distance-2408.06525"/></url>
<url><loc>https://scifaro.com/en/abs/variance-reduced-cascade-q-learning-algorithms-and-sample-complexity-2408.06544</loc><lastmod>2025-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-reduced-cascade-q-learning-algorithms-and-sample-complexity-2408.06544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-reduced-cascade-q-learning-algorithms-and-sample-complexity-2408.06544"/></url>
<url><loc>https://scifaro.com/en/abs/alpha-trimming-locally-adaptive-tree-pruning-for-random-forests-2408.07151</loc><lastmod>2024-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alpha-trimming-locally-adaptive-tree-pruning-for-random-forests-2408.07151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alpha-trimming-locally-adaptive-tree-pruning-for-random-forests-2408.07151"/></url>
<url><loc>https://scifaro.com/en/abs/learning-multi-index-models-with-neural-networks-via-mean-field-langevin-dynamics-2408.07254</loc><lastmod>2025-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-multi-index-models-with-neural-networks-via-mean-field-langevin-dynamics-2408.07254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-multi-index-models-with-neural-networks-via-mean-field-langevin-dynamics-2408.07254"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-importance-sampling-for-locally-stable-point-processes-2408.07372</loc><lastmod>2025-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-importance-sampling-for-locally-stable-point-processes-2408.07372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-importance-sampling-for-locally-stable-point-processes-2408.07372"/></url>
<url><loc>https://scifaro.com/en/abs/posterior-covariance-structures-in-gaussian-processes-2408.07379</loc><lastmod>2025-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/posterior-covariance-structures-in-gaussian-processes-2408.07379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/posterior-covariance-structures-in-gaussian-processes-2408.07379"/></url>
<url><loc>https://scifaro.com/en/abs/decoder-ensembling-for-learned-latent-geometries-2408.07507</loc><lastmod>2024-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoder-ensembling-for-learned-latent-geometries-2408.07507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoder-ensembling-for-learned-latent-geometries-2408.07507"/></url>
<url><loc>https://scifaro.com/en/abs/adjusting-model-size-in-continual-gaussian-processes-how-big-is-big-enough-2408.07588</loc><lastmod>2025-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adjusting-model-size-in-continual-gaussian-processes-how-big-is-big-enough-2408.07588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adjusting-model-size-in-continual-gaussian-processes-how-big-is-big-enough-2408.07588"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-reinforcement-learning-with-high-dimensional-reward-2408.07660</loc><lastmod>2024-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-reinforcement-learning-with-high-dimensional-reward-2408.07660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-reinforcement-learning-with-high-dimensional-reward-2408.07660"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-and-combining-latent-structured-predictive-scores-without-labeled-data-2408.07796</loc><lastmod>2024-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-and-combining-latent-structured-predictive-scores-without-labeled-data-2408.07796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-and-combining-latent-structured-predictive-scores-without-labeled-data-2408.07796"/></url>
<url><loc>https://scifaro.com/en/abs/local-causal-discovery-with-background-knowledge-2408.07890</loc><lastmod>2024-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-causal-discovery-with-background-knowledge-2408.07890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-causal-discovery-with-background-knowledge-2408.07890"/></url>
<url><loc>https://scifaro.com/en/abs/robust-offline-active-learning-on-graphs-2408.07941</loc><lastmod>2024-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-offline-active-learning-on-graphs-2408.07941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-offline-active-learning-on-graphs-2408.07941"/></url>
<url><loc>https://scifaro.com/en/abs/bindy-bayesian-identification-of-nonlinear-dynamics-with-reversible-jump-markov-chain-monte-carlo-2408.08062</loc><lastmod>2025-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bindy-bayesian-identification-of-nonlinear-dynamics-with-reversible-jump-markov-chain-monte-carlo-2408.08062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bindy-bayesian-identification-of-nonlinear-dynamics-with-reversible-jump-markov-chain-monte-carlo-2408.08062"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-high-dimensional-time-series-in-spectral-domain-using-explainable-features-2408.08388</loc><lastmod>2024-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-high-dimensional-time-series-in-spectral-domain-using-explainable-features-2408.08388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-high-dimensional-time-series-in-spectral-domain-using-explainable-features-2408.08388"/></url>
<url><loc>https://scifaro.com/en/abs/adv-ssl-adversarial-self-supervised-representation-learning-with-theoretical-guarantees-2408.08533</loc><lastmod>2025-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adv-ssl-adversarial-self-supervised-representation-learning-with-theoretical-guarantees-2408.08533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adv-ssl-adversarial-self-supervised-representation-learning-with-theoretical-guarantees-2408.08533"/></url>
<url><loc>https://scifaro.com/en/abs/linear-combinations-of-latents-in-generative-models-subspaces-and-beyond-2408.08558</loc><lastmod>2025-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-combinations-of-latents-in-generative-models-subspaces-and-beyond-2408.08558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-combinations-of-latents-in-generative-models-subspaces-and-beyond-2408.08558"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-perspective-on-bayesian-operational-modal-analysis-2408.08664</loc><lastmod>2025-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-perspective-on-bayesian-operational-modal-analysis-2408.08664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-perspective-on-bayesian-operational-modal-analysis-2408.08664"/></url>
<url><loc>https://scifaro.com/en/abs/misclassification-excess-risk-bounds-for-pac-bayesian-classification-via-convexified-loss-2408.08675</loc><lastmod>2024-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/misclassification-excess-risk-bounds-for-pac-bayesian-classification-via-convexified-loss-2408.08675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/misclassification-excess-risk-bounds-for-pac-bayesian-classification-via-convexified-loss-2408.08675"/></url>
<url><loc>https://scifaro.com/en/abs/shapley-marginal-surplus-for-strong-models-2408.08845</loc><lastmod>2024-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shapley-marginal-surplus-for-strong-models-2408.08845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shapley-marginal-surplus-for-strong-models-2408.08845"/></url>
<url><loc>https://scifaro.com/en/abs/a-confidence-interval-for-the-ell-2-expected-calibration-error-2408.08998</loc><lastmod>2025-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-confidence-interval-for-the-ell-2-expected-calibration-error-2408.08998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-confidence-interval-for-the-ell-2-expected-calibration-error-2408.08998"/></url>
<url><loc>https://scifaro.com/en/abs/controlling-statistical-discretization-and-truncation-errors-in-learning-fourier-linear-operators-2408.09004</loc><lastmod>2025-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlling-statistical-discretization-and-truncation-errors-in-learning-fourier-linear-operators-2408.09004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlling-statistical-discretization-and-truncation-errors-in-learning-fourier-linear-operators-2408.09004"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-analysis-by-state-space-learning-2408.09120</loc><lastmod>2024-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-analysis-by-state-space-learning-2408.09120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-analysis-by-state-space-learning-2408.09120"/></url>
<url><loc>https://scifaro.com/en/abs/deep-limit-model-free-prediction-in-regression-2408.09532</loc><lastmod>2024-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-limit-model-free-prediction-in-regression-2408.09532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-limit-model-free-prediction-in-regression-2408.09532"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-budget-allocation-for-large-scale-llm-enabled-virtual-screening-2408.09537</loc><lastmod>2025-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-budget-allocation-for-large-scale-llm-enabled-virtual-screening-2408.09537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-budget-allocation-for-large-scale-llm-enabled-virtual-screening-2408.09537"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-conditional-neural-processes-2408.09583</loc><lastmod>2024-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-conditional-neural-processes-2408.09583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-conditional-neural-processes-2408.09583"/></url>
<url><loc>https://scifaro.com/en/abs/confirmation-bias-in-gaussian-mixture-models-2408.09718</loc><lastmod>2025-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confirmation-bias-in-gaussian-mixture-models-2408.09718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confirmation-bias-in-gaussian-mixture-models-2408.09718"/></url>
<url><loc>https://scifaro.com/en/abs/altbi-constructing-improved-outlier-detection-models-via-optimization-of-inlier-memorization-effect-2408.09791</loc><lastmod>2025-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/altbi-constructing-improved-outlier-detection-models-via-optimization-of-inlier-memorization-effect-2408.09791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/altbi-constructing-improved-outlier-detection-models-via-optimization-of-inlier-memorization-effect-2408.09791"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-path-dependent-processes-by-deep-learning-2408.09941</loc><lastmod>2024-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-path-dependent-processes-by-deep-learning-2408.09941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-path-dependent-processes-by-deep-learning-2408.09941"/></url>
<url><loc>https://scifaro.com/en/abs/robust-spectral-clustering-with-rank-statistics-2408.10136</loc><lastmod>2024-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-spectral-clustering-with-rank-statistics-2408.10136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-spectral-clustering-with-rank-statistics-2408.10136"/></url>
<url><loc>https://scifaro.com/en/abs/area-under-the-roc-curve-has-the-most-consistent-evaluation-for-binary-classification-2408.10193</loc><lastmod>2024-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/area-under-the-roc-curve-has-the-most-consistent-evaluation-for-binary-classification-2408.10193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/area-under-the-roc-curve-has-the-most-consistent-evaluation-for-binary-classification-2408.10193"/></url>
<url><loc>https://scifaro.com/en/abs/can-an-unsupervised-clustering-algorithm-reproduce-a-categorization-system-2408.10340</loc><lastmod>2024-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-an-unsupervised-clustering-algorithm-reproduce-a-categorization-system-2408.10340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-an-unsupervised-clustering-algorithm-reproduce-a-categorization-system-2408.10340"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-reinforcement-learning-in-probabilistic-reward-machines-2408.10381</loc><lastmod>2024-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-reinforcement-learning-in-probabilistic-reward-machines-2408.10381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-reinforcement-learning-in-probabilistic-reward-machines-2408.10381"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-classification-error-for-heavy-tailed-renewal-processes-2408.10502</loc><lastmod>2025-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-classification-error-for-heavy-tailed-renewal-processes-2408.10502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-classification-error-for-heavy-tailed-renewal-processes-2408.10502"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-based-differentiable-learning-of-non-parametric-directed-acyclic-graphical-models-2408.10976</loc><lastmod>2024-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-based-differentiable-learning-of-non-parametric-directed-acyclic-graphical-models-2408.10976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-based-differentiable-learning-of-non-parametric-directed-acyclic-graphical-models-2408.10976"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-rates-for-shallow-relu-k-neural-networks-on-sobolev-spaces-via-the-radon-transform-2408.10996</loc><lastmod>2025-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-rates-for-shallow-relu-k-neural-networks-on-sobolev-spaces-via-the-radon-transform-2408.10996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-rates-for-shallow-relu-k-neural-networks-on-sobolev-spaces-via-the-radon-transform-2408.10996"/></url>
<url><loc>https://scifaro.com/en/abs/the-ensemble-epanechnikov-mixture-filter-2408.11164</loc><lastmod>2024-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-ensemble-epanechnikov-mixture-filter-2408.11164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-ensemble-epanechnikov-mixture-filter-2408.11164"/></url>
<url><loc>https://scifaro.com/en/abs/effective-off-policy-evaluation-and-learning-in-contextual-combinatorial-bandits-2408.11202</loc><lastmod>2024-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-off-policy-evaluation-and-learning-in-contextual-combinatorial-bandits-2408.11202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-off-policy-evaluation-and-learning-in-contextual-combinatorial-bandits-2408.11202"/></url>
<url><loc>https://scifaro.com/en/abs/plug-in-estimation-of-schr-odinger-bridges-2408.11686</loc><lastmod>2024-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/plug-in-estimation-of-schr-odinger-bridges-2408.11686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/plug-in-estimation-of-schr-odinger-bridges-2408.11686"/></url>
<url><loc>https://scifaro.com/en/abs/an-asymptotically-optimal-coordinate-descent-algorithm-for-learning-bayesian-networks-from-gaussian-models-2408.11977</loc><lastmod>2025-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-asymptotically-optimal-coordinate-descent-algorithm-for-learning-bayesian-networks-from-gaussian-models-2408.11977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-asymptotically-optimal-coordinate-descent-algorithm-for-learning-bayesian-networks-from-gaussian-models-2408.11977"/></url>
<url><loc>https://scifaro.com/en/abs/deconfounding-multi-cause-latent-confounders-a-factor-model-approach-to-climate-model-bias-correction-2408.12063</loc><lastmod>2025-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deconfounding-multi-cause-latent-confounders-a-factor-model-approach-to-climate-model-bias-correction-2408.12063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deconfounding-multi-cause-latent-confounders-a-factor-model-approach-to-climate-model-bias-correction-2408.12063"/></url>
<url><loc>https://scifaro.com/en/abs/transformers-are-minimax-optimal-nonparametric-in-context-learners-2408.12186</loc><lastmod>2024-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformers-are-minimax-optimal-nonparametric-in-context-learners-2408.12186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformers-are-minimax-optimal-nonparametric-in-context-learners-2408.12186"/></url>
<url><loc>https://scifaro.com/en/abs/demystifying-functional-random-forests-novel-explainability-tools-for-model-transparency-in-high-dimensional-spaces-2408.12288</loc><lastmod>2024-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demystifying-functional-random-forests-novel-explainability-tools-for-model-transparency-in-high-dimensional-spaces-2408.12288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demystifying-functional-random-forests-novel-explainability-tools-for-model-transparency-in-high-dimensional-spaces-2408.12288"/></url>
<url><loc>https://scifaro.com/en/abs/neural-anova-analytical-model-decomposition-using-automatic-integration-2408.12319</loc><lastmod>2025-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-anova-analytical-model-decomposition-using-automatic-integration-2408.12319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-anova-analytical-model-decomposition-using-automatic-integration-2408.12319"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-quasi-newton-robust-estimation-under-differential-privacy-2408.12353</loc><lastmod>2024-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-quasi-newton-robust-estimation-under-differential-privacy-2408.12353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-quasi-newton-robust-estimation-under-differential-privacy-2408.12353"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-good-reliability-of-an-interval-based-metric-to-validate-prediction-uncertainty-for-machine-learning-regression-tasks-2408.13089</loc><lastmod>2024-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-good-reliability-of-an-interval-based-metric-to-validate-prediction-uncertainty-for-machine-learning-regression-tasks-2408.13089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-good-reliability-of-an-interval-based-metric-to-validate-prediction-uncertainty-for-machine-learning-regression-tasks-2408.13089"/></url>
<url><loc>https://scifaro.com/en/abs/controlled-learning-of-pointwise-nonlinearities-in-neural-network-like-architectures-2408.13114</loc><lastmod>2025-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlled-learning-of-pointwise-nonlinearities-in-neural-network-like-architectures-2408.13114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlled-learning-of-pointwise-nonlinearities-in-neural-network-like-architectures-2408.13114"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-unadjusted-langevin-in-high-dimensions-delocalization-of-bias-2408.13115</loc><lastmod>2025-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-unadjusted-langevin-in-high-dimensions-delocalization-of-bias-2408.13115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-unadjusted-langevin-in-high-dimensions-delocalization-of-bias-2408.13115"/></url>
<url><loc>https://scifaro.com/en/abs/reproduction-of-scan-b-statistic-for-kernel-change-point-detection-algorithm-2408.13146</loc><lastmod>2024-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reproduction-of-scan-b-statistic-for-kernel-change-point-detection-algorithm-2408.13146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reproduction-of-scan-b-statistic-for-kernel-change-point-detection-algorithm-2408.13146"/></url>
<url><loc>https://scifaro.com/en/abs/a-density-ratio-framework-for-evaluating-the-utility-of-synthetic-data-2408.13167</loc><lastmod>2024-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-density-ratio-framework-for-evaluating-the-utility-of-synthetic-data-2408.13167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-density-ratio-framework-for-evaluating-the-utility-of-synthetic-data-2408.13167"/></url>
<url><loc>https://scifaro.com/en/abs/augmented-functional-random-forests-classifier-construction-and-unbiased-functional-principal-components-importance-through-ad-hoc-conditional-permutations-2408.13179</loc><lastmod>2024-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmented-functional-random-forests-classifier-construction-and-unbiased-functional-principal-components-importance-through-ad-hoc-conditional-permutations-2408.13179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmented-functional-random-forests-classifier-construction-and-unbiased-functional-principal-components-importance-through-ad-hoc-conditional-permutations-2408.13179"/></url>
<url><loc>https://scifaro.com/en/abs/amortized-bayesian-multilevel-models-2408.13230</loc><lastmod>2025-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amortized-bayesian-multilevel-models-2408.13230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amortized-bayesian-multilevel-models-2408.13230"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-design-of-scalable-high-precision-spherical-radial-fourier-features-2408.13231</loc><lastmod>2024-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-design-of-scalable-high-precision-spherical-radial-fourier-features-2408.13231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-design-of-scalable-high-precision-spherical-radial-fourier-features-2408.13231"/></url>
<url><loc>https://scifaro.com/en/abs/double-descent-understanding-linear-model-estimation-of-nonidentifiable-parameters-and-a-model-for-overfitting-2408.13235</loc><lastmod>2025-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/double-descent-understanding-linear-model-estimation-of-nonidentifiable-parameters-and-a-model-for-overfitting-2408.13235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/double-descent-understanding-linear-model-estimation-of-nonidentifiable-parameters-and-a-model-for-overfitting-2408.13235"/></url>
<url><loc>https://scifaro.com/en/abs/an-information-theoretic-approach-to-generalization-theory-2408.13275</loc><lastmod>2024-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-information-theoretic-approach-to-generalization-theory-2408.13275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-information-theoretic-approach-to-generalization-theory-2408.13275"/></url>
<url><loc>https://scifaro.com/en/abs/non-convex-matrix-sensing-breaking-the-quadratic-rank-barrier-in-the-sample-complexity-2408.13276</loc><lastmod>2025-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-convex-matrix-sensing-breaking-the-quadratic-rank-barrier-in-the-sample-complexity-2408.13276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-convex-matrix-sensing-breaking-the-quadratic-rank-barrier-in-the-sample-complexity-2408.13276"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-kernel-quantile-learning-with-random-features-2408.13591</loc><lastmod>2025-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-kernel-quantile-learning-with-random-features-2408.13591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-kernel-quantile-learning-with-random-features-2408.13591"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-uplift-modeling-in-multi-treatment-marketing-campaigns-leveraging-score-ranking-and-calibration-techniques-2408.13628</loc><lastmod>2024-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-uplift-modeling-in-multi-treatment-marketing-campaigns-leveraging-score-ranking-and-calibration-techniques-2408.13628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-uplift-modeling-in-multi-treatment-marketing-campaigns-leveraging-score-ranking-and-calibration-techniques-2408.13628"/></url>
<url><loc>https://scifaro.com/en/abs/improved-identification-of-breakpoints-in-piecewise-regression-and-its-applications-2408.13751</loc><lastmod>2026-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-identification-of-breakpoints-in-piecewise-regression-and-its-applications-2408.13751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-identification-of-breakpoints-in-piecewise-regression-and-its-applications-2408.13751"/></url>
<url><loc>https://scifaro.com/en/abs/hypersbinn-a-hypernetwork-enhanced-systems-biology-informed-neural-network-for-efficient-drug-cardiosafety-assessment-2408.14266</loc><lastmod>2025-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypersbinn-a-hypernetwork-enhanced-systems-biology-informed-neural-network-for-efficient-drug-cardiosafety-assessment-2408.14266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypersbinn-a-hypernetwork-enhanced-systems-biology-informed-neural-network-for-efficient-drug-cardiosafety-assessment-2408.14266"/></url>
<url><loc>https://scifaro.com/en/abs/multi-normal-prototypes-learning-for-weakly-supervised-anomaly-detection-2408.14498</loc><lastmod>2024-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-normal-prototypes-learning-for-weakly-supervised-anomaly-detection-2408.14498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-normal-prototypes-learning-for-weakly-supervised-anomaly-detection-2408.14498"/></url>
<url><loc>https://scifaro.com/en/abs/general-targeted-machine-learning-for-modern-causal-mediation-analysis-2408.14620</loc><lastmod>2025-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/general-targeted-machine-learning-for-modern-causal-mediation-analysis-2408.14620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/general-targeted-machine-learning-for-modern-causal-mediation-analysis-2408.14620"/></url>
<url><loc>https://scifaro.com/en/abs/the-benefits-of-balance-from-information-projections-to-variance-reduction-2408.15065</loc><lastmod>2025-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-benefits-of-balance-from-information-projections-to-variance-reduction-2408.15065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-benefits-of-balance-from-information-projections-to-variance-reduction-2408.15065"/></url>
<url><loc>https://scifaro.com/en/abs/low-budget-simulation-based-inference-with-bayesian-neural-networks-2408.15136</loc><lastmod>2024-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-budget-simulation-based-inference-with-bayesian-neural-networks-2408.15136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-budget-simulation-based-inference-with-bayesian-neural-networks-2408.15136"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-level-set-estimation-for-non-parametric-tournament-and-crowdsourcing-problems-2408.15356</loc><lastmod>2024-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-level-set-estimation-for-non-parametric-tournament-and-crowdsourcing-problems-2408.15356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-level-set-estimation-for-non-parametric-tournament-and-crowdsourcing-problems-2408.15356"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-naive-bayes-2408.15923</loc><lastmod>2024-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-naive-bayes-2408.15923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-naive-bayes-2408.15923"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-diagnostics-part-ii-prevalence-linear-independence-and-unsupervised-learning-2408.16035</loc><lastmod>2024-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-diagnostics-part-ii-prevalence-linear-independence-and-unsupervised-learning-2408.16035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-diagnostics-part-ii-prevalence-linear-independence-and-unsupervised-learning-2408.16035"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-sample-aggregation-in-transfer-learning-2408.16189</loc><lastmod>2025-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-sample-aggregation-in-transfer-learning-2408.16189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-sample-aggregation-in-transfer-learning-2408.16189"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-and-geometrical-properties-of-regularized-kernel-kullback-leibler-divergence-2408.16543</loc><lastmod>2025-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-and-geometrical-properties-of-regularized-kernel-kullback-leibler-divergence-2408.16543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-and-geometrical-properties-of-regularized-kernel-kullback-leibler-divergence-2408.16543"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-decomposed-linear-dynamical-systems-for-robust-discovery-of-latent-neural-dynamics-2408.16862</loc><lastmod>2024-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-decomposed-linear-dynamical-systems-for-robust-discovery-of-latent-neural-dynamics-2408.16862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-decomposed-linear-dynamical-systems-for-robust-discovery-of-latent-neural-dynamics-2408.16862"/></url>
<url><loc>https://scifaro.com/en/abs/characterization-of-point-source-transient-events-with-a-rolling-shutter-compressed-sensing-system-2408.16868</loc><lastmod>2025-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterization-of-point-source-transient-events-with-a-rolling-shutter-compressed-sensing-system-2408.16868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterization-of-point-source-transient-events-with-a-rolling-shutter-compressed-sensing-system-2408.16868"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-and-communication-efficient-distributed-best-subset-selection-with-oracle-property-2408.17276</loc><lastmod>2024-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-and-communication-efficient-distributed-best-subset-selection-with-oracle-property-2408.17276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-and-communication-efficient-distributed-best-subset-selection-with-oracle-property-2408.17276"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-for-non-convex-two-stage-stochastic-optimization-problems-2408.17387</loc><lastmod>2025-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-for-non-convex-two-stage-stochastic-optimization-problems-2408.17387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-for-non-convex-two-stage-stochastic-optimization-problems-2408.17387"/></url>
<url><loc>https://scifaro.com/en/abs/learning-latent-space-dynamics-with-model-form-uncertainties-a-stochastic-reduced-order-modeling-approach-2409.00220</loc><lastmod>2024-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-latent-space-dynamics-with-model-form-uncertainties-a-stochastic-reduced-order-modeling-approach-2409.00220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-latent-space-dynamics-with-model-form-uncertainties-a-stochastic-reduced-order-modeling-approach-2409.00220"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-combinatorial-bandits-for-budget-allocation-2409.00561</loc><lastmod>2024-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-combinatorial-bandits-for-budget-allocation-2409.00561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-combinatorial-bandits-for-budget-allocation-2409.00561"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-optimal-approximation-of-sobolev-and-besov-functions-using-deep-relu-neural-networks-2409.00901</loc><lastmod>2025-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-optimal-approximation-of-sobolev-and-besov-functions-using-deep-relu-neural-networks-2409.00901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-optimal-approximation-of-sobolev-and-besov-functions-using-deep-relu-neural-networks-2409.00901"/></url>
<url><loc>https://scifaro.com/en/abs/ensloss-stochastic-calibrated-loss-ensembles-for-preventing-overfitting-in-classification-2409.00908</loc><lastmod>2024-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensloss-stochastic-calibrated-loss-ensembles-for-preventing-overfitting-in-classification-2409.00908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensloss-stochastic-calibrated-loss-ensembles-for-preventing-overfitting-in-classification-2409.00908"/></url>
<url><loc>https://scifaro.com/en/abs/bootstrap-sgd-algorithmic-stability-and-robustness-2409.01074</loc><lastmod>2024-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bootstrap-sgd-algorithmic-stability-and-robustness-2409.01074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bootstrap-sgd-algorithmic-stability-and-robustness-2409.01074"/></url>
<url><loc>https://scifaro.com/en/abs/sample-complexity-of-the-sign-perturbed-sums-method-2409.01243</loc><lastmod>2024-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-complexity-of-the-sign-perturbed-sums-method-2409.01243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-complexity-of-the-sign-perturbed-sums-method-2409.01243"/></url>
<url><loc>https://scifaro.com/en/abs/stein-transport-for-bayesian-inference-2409.01464</loc><lastmod>2024-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stein-transport-for-bayesian-inference-2409.01464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stein-transport-for-bayesian-inference-2409.01464"/></url>
<url><loc>https://scifaro.com/en/abs/hybridization-of-persistent-homology-with-neural-networks-for-time-series-prediction-a-case-study-in-wave-height-2409.01519</loc><lastmod>2024-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybridization-of-persistent-homology-with-neural-networks-for-time-series-prediction-a-case-study-in-wave-height-2409.01519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybridization-of-persistent-homology-with-neural-networks-for-time-series-prediction-a-case-study-in-wave-height-2409.01519"/></url>
<url><loc>https://scifaro.com/en/abs/smoothed-robust-phase-retrieval-2409.01570</loc><lastmod>2024-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smoothed-robust-phase-retrieval-2409.01570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smoothed-robust-phase-retrieval-2409.01570"/></url>
<url><loc>https://scifaro.com/en/abs/graphons-of-line-graphs-2409.01656</loc><lastmod>2025-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphons-of-line-graphs-2409.01656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphons-of-line-graphs-2409.01656"/></url>
<url><loc>https://scifaro.com/en/abs/a-sparse-pac-bayesian-approach-for-high-dimensional-quantile-prediction-2409.01687</loc><lastmod>2024-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sparse-pac-bayesian-approach-for-high-dimensional-quantile-prediction-2409.01687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sparse-pac-bayesian-approach-for-high-dimensional-quantile-prediction-2409.01687"/></url>
<url><loc>https://scifaro.com/en/abs/deep-non-parametric-logistic-model-with-case-control-data-and-external-summary-information-2409.01829</loc><lastmod>2024-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-non-parametric-logistic-model-with-case-control-data-and-external-summary-information-2409.01829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-non-parametric-logistic-model-with-case-control-data-and-external-summary-information-2409.01829"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-unconstrained-features-neural-collapse-for-shallow-neural-networks-with-general-data-2409.01832</loc><lastmod>2024-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-unconstrained-features-neural-collapse-for-shallow-neural-networks-with-general-data-2409.01832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-unconstrained-features-neural-collapse-for-shallow-neural-networks-with-general-data-2409.01832"/></url>
<url><loc>https://scifaro.com/en/abs/unsure-self-supervised-learning-with-unknown-noise-level-and-stein-s-unbiased-risk-estimate-2409.01985</loc><lastmod>2025-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsure-self-supervised-learning-with-unknown-noise-level-and-stein-s-unbiased-risk-estimate-2409.01985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsure-self-supervised-learning-with-unknown-noise-level-and-stein-s-unbiased-risk-estimate-2409.01985"/></url>
<url><loc>https://scifaro.com/en/abs/generative-principal-component-regression-via-variational-inference-2409.02327</loc><lastmod>2024-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-principal-component-regression-via-variational-inference-2409.02327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-principal-component-regression-via-variational-inference-2409.02327"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-sampling-for-least-squares-approximation-2409.02342</loc><lastmod>2025-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-sampling-for-least-squares-approximation-2409.02342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-sampling-for-least-squares-approximation-2409.02342"/></url>
<url><loc>https://scifaro.com/en/abs/demographic-parity-in-regression-and-classification-within-the-unawareness-framework-2409.02471</loc><lastmod>2024-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demographic-parity-in-regression-and-classification-within-the-unawareness-framework-2409.02471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demographic-parity-in-regression-and-classification-within-the-unawareness-framework-2409.02471"/></url>
<url><loc>https://scifaro.com/en/abs/conformal-prediction-in-dynamic-biological-systems-2409.02644</loc><lastmod>2024-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformal-prediction-in-dynamic-biological-systems-2409.02644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformal-prediction-in-dynamic-biological-systems-2409.02644"/></url>
<url><loc>https://scifaro.com/en/abs/introduction-to-machine-learning-2409.02668</loc><lastmod>2025-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introduction-to-machine-learning-2409.02668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introduction-to-machine-learning-2409.02668"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-multi-output-gaussian-convolution-process-with-domain-adaptation-2409.02778</loc><lastmod>2024-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-multi-output-gaussian-convolution-process-with-domain-adaptation-2409.02778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-multi-output-gaussian-convolution-process-with-domain-adaptation-2409.02778"/></url>
<url><loc>https://scifaro.com/en/abs/non-stationary-and-sparsely-correlated-multi-output-gaussian-process-with-spike-and-slab-prior-2409.03149</loc><lastmod>2024-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-stationary-and-sparsely-correlated-multi-output-gaussian-process-with-spike-and-slab-prior-2409.03149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-stationary-and-sparsely-correlated-multi-output-gaussian-process-with-spike-and-slab-prior-2409.03149"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-sparse-gaussian-classification-provable-benefits-of-unlabeled-data-2409.03335</loc><lastmod>2024-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-sparse-gaussian-classification-provable-benefits-of-unlabeled-data-2409.03335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-sparse-gaussian-classification-provable-benefits-of-unlabeled-data-2409.03335"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-robust-optimisation-with-bayesian-ambiguity-sets-2409.03492</loc><lastmod>2024-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-robust-optimisation-with-bayesian-ambiguity-sets-2409.03492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-robust-optimisation-with-bayesian-ambiguity-sets-2409.03492"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-likelihood-inference-for-high-dimensional-problems-with-multiaffine-variable-relations-2409.03495</loc><lastmod>2024-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-likelihood-inference-for-high-dimensional-problems-with-multiaffine-variable-relations-2409.03495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-likelihood-inference-for-high-dimensional-problems-with-multiaffine-variable-relations-2409.03495"/></url>
<url><loc>https://scifaro.com/en/abs/survey-of-data-driven-newsvendor-unified-analysis-and-spectrum-of-achievable-regrets-2409.03505</loc><lastmod>2026-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survey-of-data-driven-newsvendor-unified-analysis-and-spectrum-of-achievable-regrets-2409.03505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survey-of-data-driven-newsvendor-unified-analysis-and-spectrum-of-achievable-regrets-2409.03505"/></url>
<url><loc>https://scifaro.com/en/abs/dart2-a-robust-multiple-testing-method-to-smartly-leverage-helpful-or-misleading-ancillary-information-2409.03618</loc><lastmod>2024-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dart2-a-robust-multiple-testing-method-to-smartly-leverage-helpful-or-misleading-ancillary-information-2409.03618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dart2-a-robust-multiple-testing-method-to-smartly-leverage-helpful-or-misleading-ancillary-information-2409.03618"/></url>
<url><loc>https://scifaro.com/en/abs/a-method-to-benchmark-high-dimensional-process-drift-detection-2409.03669</loc><lastmod>2024-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-method-to-benchmark-high-dimensional-process-drift-detection-2409.03669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-method-to-benchmark-high-dimensional-process-drift-detection-2409.03669"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-thresholding-for-non-linear-learning-in-the-strong-varepsilon-contamination-model-2409.03703</loc><lastmod>2024-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-thresholding-for-non-linear-learning-in-the-strong-varepsilon-contamination-model-2409.03703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-thresholding-for-non-linear-learning-in-the-strong-varepsilon-contamination-model-2409.03703"/></url>
<url><loc>https://scifaro.com/en/abs/resultant-incremental-effectiveness-on-likelihood-for-unsupervised-out-of-distribution-detection-2409.03801</loc><lastmod>2024-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resultant-incremental-effectiveness-on-likelihood-for-unsupervised-out-of-distribution-detection-2409.03801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resultant-incremental-effectiveness-on-likelihood-for-unsupervised-out-of-distribution-detection-2409.03801"/></url>
<url><loc>https://scifaro.com/en/abs/active-sampling-of-interpolation-points-to-identify-dominant-subspaces-for-model-reduction-2409.03892</loc><lastmod>2024-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-sampling-of-interpolation-points-to-identify-dominant-subspaces-for-model-reduction-2409.03892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-sampling-of-interpolation-points-to-identify-dominant-subspaces-for-model-reduction-2409.03892"/></url>
<url><loc>https://scifaro.com/en/abs/entry-specific-matrix-estimation-under-arbitrary-sampling-patterns-through-the-lens-of-network-flows-2409.03980</loc><lastmod>2025-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entry-specific-matrix-estimation-under-arbitrary-sampling-patterns-through-the-lens-of-network-flows-2409.03980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entry-specific-matrix-estimation-under-arbitrary-sampling-patterns-through-the-lens-of-network-flows-2409.03980"/></url>
<url><loc>https://scifaro.com/en/abs/half-vae-an-encoder-free-vae-to-bypass-explicit-inverse-mapping-2409.04140</loc><lastmod>2024-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/half-vae-an-encoder-free-vae-to-bypass-explicit-inverse-mapping-2409.04140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/half-vae-an-encoder-free-vae-to-bypass-explicit-inverse-mapping-2409.04140"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-machine-learning-for-official-statistics-a-statistical-manifesto-2409.04365</loc><lastmod>2024-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-machine-learning-for-official-statistics-a-statistical-manifesto-2409.04365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-machine-learning-for-official-statistics-a-statistical-manifesto-2409.04365"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-estimators-for-natural-experiments-a-novel-dataset-and-a-doubly-robust-algorithm-2409.04500</loc><lastmod>2024-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-estimators-for-natural-experiments-a-novel-dataset-and-a-doubly-robust-algorithm-2409.04500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-estimators-for-natural-experiments-a-novel-dataset-and-a-doubly-robust-algorithm-2409.04500"/></url>
<url><loc>https://scifaro.com/en/abs/sliding-window-thompson-sampling-for-non-stationary-settings-2409.05181</loc><lastmod>2025-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sliding-window-thompson-sampling-for-non-stationary-settings-2409.05181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sliding-window-thompson-sampling-for-non-stationary-settings-2409.05181"/></url>
<url><loc>https://scifaro.com/en/abs/empowering-bayesian-neural-networks-with-functional-priors-through-anchored-ensembling-for-mechanics-surrogate-modeling-applications-2409.05234</loc><lastmod>2025-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empowering-bayesian-neural-networks-with-functional-priors-through-anchored-ensembling-for-mechanics-surrogate-modeling-applications-2409.05234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empowering-bayesian-neural-networks-with-functional-priors-through-anchored-ensembling-for-mechanics-surrogate-modeling-applications-2409.05234"/></url>
<url><loc>https://scifaro.com/en/abs/robust-non-adaptive-group-testing-under-errors-in-group-membership-specifications-2409.05345</loc><lastmod>2025-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-non-adaptive-group-testing-under-errors-in-group-membership-specifications-2409.05345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-non-adaptive-group-testing-under-errors-in-group-membership-specifications-2409.05345"/></url>
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<url><loc>https://scifaro.com/en/abs/approximation-bounds-for-recurrent-neural-networks-with-application-to-regression-2409.05577</loc><lastmod>2025-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-bounds-for-recurrent-neural-networks-with-application-to-regression-2409.05577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-bounds-for-recurrent-neural-networks-with-application-to-regression-2409.05577"/></url>
<url><loc>https://scifaro.com/en/abs/when-resampling-reweighting-improves-feature-learning-in-imbalanced-classification-a-toy-model-study-2409.05598</loc><lastmod>2025-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-resampling-reweighting-improves-feature-learning-in-imbalanced-classification-a-toy-model-study-2409.05598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-resampling-reweighting-improves-feature-learning-in-imbalanced-classification-a-toy-model-study-2409.05598"/></url>
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<url><loc>https://scifaro.com/en/abs/llms-will-always-hallucinate-and-we-need-to-live-with-this-2409.05746</loc><lastmod>2024-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/llms-will-always-hallucinate-and-we-need-to-live-with-this-2409.05746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/llms-will-always-hallucinate-and-we-need-to-live-with-this-2409.05746"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-rested-and-restless-bandits-with-graph-triggering-rising-and-rotting-2409.05980</loc><lastmod>2024-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-rested-and-restless-bandits-with-graph-triggering-rising-and-rotting-2409.05980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-rested-and-restless-bandits-with-graph-triggering-rising-and-rotting-2409.05980"/></url>
<url><loc>https://scifaro.com/en/abs/variational-search-distributions-2409.06142</loc><lastmod>2025-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-search-distributions-2409.06142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-search-distributions-2409.06142"/></url>
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<url><loc>https://scifaro.com/en/abs/modified-meta-thompson-sampling-for-linear-bandits-and-its-bayes-regret-analysis-2409.06329</loc><lastmod>2024-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modified-meta-thompson-sampling-for-linear-bandits-and-its-bayes-regret-analysis-2409.06329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modified-meta-thompson-sampling-for-linear-bandits-and-its-bayes-regret-analysis-2409.06329"/></url>
<url><loc>https://scifaro.com/en/abs/constructive-universal-approximation-and-finite-sample-memorization-by-narrow-deep-relu-networks-2409.06555</loc><lastmod>2025-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constructive-universal-approximation-and-finite-sample-memorization-by-narrow-deep-relu-networks-2409.06555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constructive-universal-approximation-and-finite-sample-memorization-by-narrow-deep-relu-networks-2409.06555"/></url>
<url><loc>https://scifaro.com/en/abs/a-primer-on-variational-inference-for-physics-informed-deep-generative-modelling-2409.06560</loc><lastmod>2025-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-primer-on-variational-inference-for-physics-informed-deep-generative-modelling-2409.06560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-primer-on-variational-inference-for-physics-informed-deep-generative-modelling-2409.06560"/></url>
<url><loc>https://scifaro.com/en/abs/advancing-causal-inference-a-nonparametric-approach-to-ate-and-cate-estimation-with-continuous-treatments-2409.06593</loc><lastmod>2024-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advancing-causal-inference-a-nonparametric-approach-to-ate-and-cate-estimation-with-continuous-treatments-2409.06593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advancing-causal-inference-a-nonparametric-approach-to-ate-and-cate-estimation-with-continuous-treatments-2409.06593"/></url>
<url><loc>https://scifaro.com/en/abs/learning-representations-for-independence-testing-2409.06890</loc><lastmod>2026-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-representations-for-independence-testing-2409.06890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-representations-for-independence-testing-2409.06890"/></url>
<url><loc>https://scifaro.com/en/abs/k-mle-k-bregman-k-vars-theory-convergence-computation-2409.06938</loc><lastmod>2024-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-mle-k-bregman-k-vars-theory-convergence-computation-2409.06938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-mle-k-bregman-k-vars-theory-convergence-computation-2409.06938"/></url>
<url><loc>https://scifaro.com/en/abs/toward-model-agnostic-detection-of-new-physics-using-data-driven-signal-regions-2409.06960</loc><lastmod>2024-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-model-agnostic-detection-of-new-physics-using-data-driven-signal-regions-2409.06960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-model-agnostic-detection-of-new-physics-using-data-driven-signal-regions-2409.06960"/></url>
<url><loc>https://scifaro.com/en/abs/a-practical-theory-of-generalization-in-selectivity-learning-2409.07014</loc><lastmod>2026-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-practical-theory-of-generalization-in-selectivity-learning-2409.07014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-practical-theory-of-generalization-in-selectivity-learning-2409.07014"/></url>
<url><loc>https://scifaro.com/en/abs/from-optimal-score-matching-to-optimal-sampling-2409.07032</loc><lastmod>2024-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-optimal-score-matching-to-optimal-sampling-2409.07032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-optimal-score-matching-to-optimal-sampling-2409.07032"/></url>
<url><loc>https://scifaro.com/en/abs/is-merging-worth-it-securely-evaluating-the-information-gain-for-causal-dataset-acquisition-2409.07215</loc><lastmod>2025-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-merging-worth-it-securely-evaluating-the-information-gain-for-causal-dataset-acquisition-2409.07215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-merging-worth-it-securely-evaluating-the-information-gain-for-causal-dataset-acquisition-2409.07215"/></url>
<url><loc>https://scifaro.com/en/abs/federated-mathcal-x-armed-bandit-with-flexible-personalisation-2409.07251</loc><lastmod>2024-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-mathcal-x-armed-bandit-with-flexible-personalisation-2409.07251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-mathcal-x-armed-bandit-with-flexible-personalisation-2409.07251"/></url>
<url><loc>https://scifaro.com/en/abs/training-free-guidance-for-discrete-diffusion-models-for-molecular-generation-2409.07359</loc><lastmod>2024-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-free-guidance-for-discrete-diffusion-models-for-molecular-generation-2409.07359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-free-guidance-for-discrete-diffusion-models-for-molecular-generation-2409.07359"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotics-of-stochastic-gradient-descent-with-dropout-regularization-in-linear-models-2409.07434</loc><lastmod>2024-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotics-of-stochastic-gradient-descent-with-dropout-regularization-in-linear-models-2409.07434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotics-of-stochastic-gradient-descent-with-dropout-regularization-in-linear-models-2409.07434"/></url>
<url><loc>https://scifaro.com/en/abs/weather-informed-probabilistic-forecasting-and-scenario-generation-in-power-systems-2409.07637</loc><lastmod>2024-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weather-informed-probabilistic-forecasting-and-scenario-generation-in-power-systems-2409.07637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weather-informed-probabilistic-forecasting-and-scenario-generation-in-power-systems-2409.07637"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-upper-confidence-bounds-in-distributed-point-target-tracking-over-wireless-sensor-networks-2409.07652</loc><lastmod>2024-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-upper-confidence-bounds-in-distributed-point-target-tracking-over-wireless-sensor-networks-2409.07652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-upper-confidence-bounds-in-distributed-point-target-tracking-over-wireless-sensor-networks-2409.07652"/></url>
<url><loc>https://scifaro.com/en/abs/ratio-divergence-learning-using-target-energy-in-restricted-boltzmann-machines-beyond-kullback-leibler-divergence-learning-2409.07679</loc><lastmod>2025-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ratio-divergence-learning-using-target-energy-in-restricted-boltzmann-machines-beyond-kullback-leibler-divergence-learning-2409.07679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ratio-divergence-learning-using-target-energy-in-restricted-boltzmann-machines-beyond-kullback-leibler-divergence-learning-2409.07679"/></url>
<url><loc>https://scifaro.com/en/abs/critically-damped-third-order-langevin-dynamics-2409.07697</loc><lastmod>2024-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/critically-damped-third-order-langevin-dynamics-2409.07697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/critically-damped-third-order-langevin-dynamics-2409.07697"/></url>
<url><loc>https://scifaro.com/en/abs/dataset-free-weight-initialization-on-restricted-boltzmann-machine-2409.07708</loc><lastmod>2025-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dataset-free-weight-initialization-on-restricted-boltzmann-machine-2409.07708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dataset-free-weight-initialization-on-restricted-boltzmann-machine-2409.07708"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-spline-trees-for-functional-data-classification-theory-and-application-to-environmental-time-series-2409.07879</loc><lastmod>2024-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-spline-trees-for-functional-data-classification-theory-and-application-to-environmental-time-series-2409.07879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-spline-trees-for-functional-data-classification-theory-and-application-to-environmental-time-series-2409.07879"/></url>
<url><loc>https://scifaro.com/en/abs/localized-schr-odinger-bridge-sampler-2409.07968</loc><lastmod>2024-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/localized-schr-odinger-bridge-sampler-2409.07968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/localized-schr-odinger-bridge-sampler-2409.07968"/></url>
<url><loc>https://scifaro.com/en/abs/higher-order-definition-of-causality-by-optimally-conditioned-transfer-entropy-2409.08295</loc><lastmod>2025-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/higher-order-definition-of-causality-by-optimally-conditioned-transfer-entropy-2409.08295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/higher-order-definition-of-causality-by-optimally-conditioned-transfer-entropy-2409.08295"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-guarantees-in-kl-for-diffusion-flow-matching-2409.08311</loc><lastmod>2024-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-guarantees-in-kl-for-diffusion-flow-matching-2409.08311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-guarantees-in-kl-for-diffusion-flow-matching-2409.08311"/></url>
<url><loc>https://scifaro.com/en/abs/federated-one-shot-ensemble-clustering-2409.08396</loc><lastmod>2024-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-one-shot-ensemble-clustering-2409.08396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-one-shot-ensemble-clustering-2409.08396"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-classification-based-anomaly-detection-with-neural-networks-theory-and-practice-2409.08521</loc><lastmod>2024-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-classification-based-anomaly-detection-with-neural-networks-theory-and-practice-2409.08521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-classification-based-anomaly-detection-with-neural-networks-theory-and-practice-2409.08521"/></url>
<url><loc>https://scifaro.com/en/abs/think-twice-before-you-act-improving-inverse-problem-solving-with-mcmc-2409.08551</loc><lastmod>2024-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/think-twice-before-you-act-improving-inverse-problem-solving-with-mcmc-2409.08551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/think-twice-before-you-act-improving-inverse-problem-solving-with-mcmc-2409.08551"/></url>
<url><loc>https://scifaro.com/en/abs/multi-forests-variable-importance-for-multi-class-outcomes-2409.08925</loc><lastmod>2024-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-forests-variable-importance-for-multi-class-outcomes-2409.08925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-forests-variable-importance-for-multi-class-outcomes-2409.08925"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-approach-to-clustering-via-the-proper-bayesian-bootstrap-the-bayesian-bagged-clustering-bbc-algorithm-2409.08954</loc><lastmod>2024-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-approach-to-clustering-via-the-proper-bayesian-bootstrap-the-bayesian-bagged-clustering-bbc-algorithm-2409.08954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-approach-to-clustering-via-the-proper-bayesian-bootstrap-the-bayesian-bagged-clustering-bbc-algorithm-2409.08954"/></url>
<url><loc>https://scifaro.com/en/abs/model-independent-variable-selection-via-the-rule-based-variable-priority-2409.09003</loc><lastmod>2024-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-independent-variable-selection-via-the-rule-based-variable-priority-2409.09003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-independent-variable-selection-via-the-rule-based-variable-priority-2409.09003"/></url>
<url><loc>https://scifaro.com/en/abs/bounds-on-the-generalization-error-in-active-learning-2409.09078</loc><lastmod>2024-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounds-on-the-generalization-error-in-active-learning-2409.09078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounds-on-the-generalization-error-in-active-learning-2409.09078"/></url>
<url><loc>https://scifaro.com/en/abs/topological-eigenvalue-theorems-for-tensor-analysis-in-multi-modal-data-fusion-2409.09392</loc><lastmod>2025-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topological-eigenvalue-theorems-for-tensor-analysis-in-multi-modal-data-fusion-2409.09392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topological-eigenvalue-theorems-for-tensor-analysis-in-multi-modal-data-fusion-2409.09392"/></url>
<url><loc>https://scifaro.com/en/abs/hyperedge-representations-with-hypergraph-wavelets-applications-to-spatial-transcriptomics-2409.09469</loc><lastmod>2024-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperedge-representations-with-hypergraph-wavelets-applications-to-spatial-transcriptomics-2409.09469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperedge-representations-with-hypergraph-wavelets-applications-to-spatial-transcriptomics-2409.09469"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-sampling-within-generative-diffusion-models-2409.09650</loc><lastmod>2025-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-sampling-within-generative-diffusion-models-2409.09650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-sampling-within-generative-diffusion-models-2409.09650"/></url>
<url><loc>https://scifaro.com/en/abs/learning-large-softmax-mixtures-with-warm-start-em-2409.09903</loc><lastmod>2025-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-large-softmax-mixtures-with-warm-start-em-2409.09903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-large-softmax-mixtures-with-warm-start-em-2409.09903"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-in-survival-analysis-with-distributionally-robust-optimization-2409.10538</loc><lastmod>2024-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-in-survival-analysis-with-distributionally-robust-optimization-2409.10538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-in-survival-analysis-with-distributionally-robust-optimization-2409.10538"/></url>
<url><loc>https://scifaro.com/en/abs/a-clustering-adaptive-gaussian-process-regression-method-response-patterns-based-real-time-prediction-for-nonlinear-solid-mechanics-problems-2409.10572</loc><lastmod>2024-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-clustering-adaptive-gaussian-process-regression-method-response-patterns-based-real-time-prediction-for-nonlinear-solid-mechanics-problems-2409.10572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-clustering-adaptive-gaussian-process-regression-method-response-patterns-based-real-time-prediction-for-nonlinear-solid-mechanics-problems-2409.10572"/></url>
<url><loc>https://scifaro.com/en/abs/towards-gaussian-process-for-operator-learning-an-uncertainty-aware-resolution-independent-operator-learning-algorithm-for-computational-mechanics-2409.10972</loc><lastmod>2024-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-gaussian-process-for-operator-learning-an-uncertainty-aware-resolution-independent-operator-learning-algorithm-for-computational-mechanics-2409.10972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-gaussian-process-for-operator-learning-an-uncertainty-aware-resolution-independent-operator-learning-algorithm-for-computational-mechanics-2409.10972"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-effect-of-instability-on-learning-continuous-time-linear-control-systems-2409.11327</loc><lastmod>2025-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-effect-of-instability-on-learning-continuous-time-linear-control-systems-2409.11327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-effect-of-instability-on-learning-continuous-time-linear-control-systems-2409.11327"/></url>
<url><loc>https://scifaro.com/en/abs/outlier-detection-with-cluster-catch-digraphs-2409.11596</loc><lastmod>2024-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outlier-detection-with-cluster-catch-digraphs-2409.11596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outlier-detection-with-cluster-catch-digraphs-2409.11596"/></url>
<url><loc>https://scifaro.com/en/abs/symmetry-based-structured-matrices-for-efficient-approximately-equivariant-networks-2409.11772</loc><lastmod>2025-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symmetry-based-structured-matrices-for-efficient-approximately-equivariant-networks-2409.11772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symmetry-based-structured-matrices-for-efficient-approximately-equivariant-networks-2409.11772"/></url>
<url><loc>https://scifaro.com/en/abs/cartan-moving-frames-and-the-data-manifolds-2409.12057</loc><lastmod>2024-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cartan-moving-frames-and-the-data-manifolds-2409.12057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cartan-moving-frames-and-the-data-manifolds-2409.12057"/></url>
<url><loc>https://scifaro.com/en/abs/fitting-multilevel-factor-models-2409.12067</loc><lastmod>2025-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fitting-multilevel-factor-models-2409.12067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fitting-multilevel-factor-models-2409.12067"/></url>
<url><loc>https://scifaro.com/en/abs/reproduction-of-ivfs-algorithm-for-high-dimensional-topology-preservation-feature-selection-2409.12195</loc><lastmod>2024-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reproduction-of-ivfs-algorithm-for-high-dimensional-topology-preservation-feature-selection-2409.12195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reproduction-of-ivfs-algorithm-for-high-dimensional-topology-preservation-feature-selection-2409.12195"/></url>
<url><loc>https://scifaro.com/en/abs/amortized-variational-inference-for-deep-gaussian-processes-2409.12301</loc><lastmod>2024-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amortized-variational-inference-for-deep-gaussian-processes-2409.12301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amortized-variational-inference-for-deep-gaussian-processes-2409.12301"/></url>
<url><loc>https://scifaro.com/en/abs/test-time-augmentation-meets-variational-bayes-2409.12587</loc><lastmod>2024-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/test-time-augmentation-meets-variational-bayes-2409.12587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/test-time-augmentation-meets-variational-bayes-2409.12587"/></url>
<url><loc>https://scifaro.com/en/abs/the-central-role-of-the-loss-function-in-reinforcement-learning-2409.12799</loc><lastmod>2025-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-central-role-of-the-loss-function-in-reinforcement-learning-2409.12799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-central-role-of-the-loss-function-in-reinforcement-learning-2409.12799"/></url>
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<url><loc>https://scifaro.com/en/abs/physics-informed-kernel-learning-2409.13786</loc><lastmod>2025-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-kernel-learning-2409.13786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-kernel-learning-2409.13786"/></url>
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<url><loc>https://scifaro.com/en/abs/a-competitive-baseline-for-deep-learning-enhanced-data-assimilation-using-conditional-gaussian-ensemble-kalman-filtering-2409.14300</loc><lastmod>2024-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-competitive-baseline-for-deep-learning-enhanced-data-assimilation-using-conditional-gaussian-ensemble-kalman-filtering-2409.14300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-competitive-baseline-for-deep-learning-enhanced-data-assimilation-using-conditional-gaussian-ensemble-kalman-filtering-2409.14300"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-exogenous-structure-for-sample-efficient-reinforcement-learning-2409.14557</loc><lastmod>2025-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-exogenous-structure-for-sample-efficient-reinforcement-learning-2409.14557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-exogenous-structure-for-sample-efficient-reinforcement-learning-2409.14557"/></url>
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<url><loc>https://scifaro.com/en/abs/embedding-knowledge-graph-in-function-spaces-2409.14857</loc><lastmod>2024-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embedding-knowledge-graph-in-function-spaces-2409.14857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embedding-knowledge-graph-in-function-spaces-2409.14857"/></url>
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<url><loc>https://scifaro.com/en/abs/harmonic-path-integral-diffusion-2409.15166</loc><lastmod>2025-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/harmonic-path-integral-diffusion-2409.15166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/harmonic-path-integral-diffusion-2409.15166"/></url>
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<url><loc>https://scifaro.com/en/abs/sequential-kernelized-stein-discrepancy-2409.17505</loc><lastmod>2025-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-kernelized-stein-discrepancy-2409.17505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-kernelized-stein-discrepancy-2409.17505"/></url>
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<url><loc>https://scifaro.com/en/abs/interpretable-multi-dimensional-evaluation-framework-for-causal-discovery-from-observational-i-i-d-data-2409.19377</loc><lastmod>2024-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-multi-dimensional-evaluation-framework-for-causal-discovery-from-observational-i-i-d-data-2409.19377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-multi-dimensional-evaluation-framework-for-causal-discovery-from-observational-i-i-d-data-2409.19377"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-and-robustness-of-the-tilted-empirical-risk-2409.19431</loc><lastmod>2025-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-and-robustness-of-the-tilted-empirical-risk-2409.19431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-and-robustness-of-the-tilted-empirical-risk-2409.19431"/></url>
<url><loc>https://scifaro.com/en/abs/an-evolutionary-approach-for-discovering-non-gaussian-stochastic-dynamical-systems-based-on-nonlocal-kramers-moyal-formulas-2409.19534</loc><lastmod>2024-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-evolutionary-approach-for-discovering-non-gaussian-stochastic-dynamical-systems-based-on-nonlocal-kramers-moyal-formulas-2409.19534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-evolutionary-approach-for-discovering-non-gaussian-stochastic-dynamical-systems-based-on-nonlocal-kramers-moyal-formulas-2409.19534"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-debiasing-of-neural-networks-via-moment-constrained-learning-2409.19777</loc><lastmod>2025-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-debiasing-of-neural-networks-via-moment-constrained-learning-2409.19777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-debiasing-of-neural-networks-via-moment-constrained-learning-2409.19777"/></url>
<url><loc>https://scifaro.com/en/abs/robust-multi-view-co-expression-network-inference-2409.19991</loc><lastmod>2024-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-multi-view-co-expression-network-inference-2409.19991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-multi-view-co-expression-network-inference-2409.19991"/></url>
<url><loc>https://scifaro.com/en/abs/input-label-correlation-governs-a-linear-to-nonlinear-transition-in-random-features-under-spiked-covariance-2409.20250</loc><lastmod>2026-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/input-label-correlation-governs-a-linear-to-nonlinear-transition-in-random-features-under-spiked-covariance-2409.20250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/input-label-correlation-governs-a-linear-to-nonlinear-transition-in-random-features-under-spiked-covariance-2409.20250"/></url>
<url><loc>https://scifaro.com/en/abs/stream-level-flow-matching-with-gaussian-processes-2409.20423</loc><lastmod>2025-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stream-level-flow-matching-with-gaussian-processes-2409.20423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stream-level-flow-matching-with-gaussian-processes-2409.20423"/></url>
<url><loc>https://scifaro.com/en/abs/sufficient-and-necessary-explanations-and-what-lies-in-between-2409.20427</loc><lastmod>2024-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sufficient-and-necessary-explanations-and-what-lies-in-between-2409.20427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sufficient-and-necessary-explanations-and-what-lies-in-between-2409.20427"/></url>
<url><loc>https://scifaro.com/en/abs/annealing-flow-generative-models-towards-sampling-high-dimensional-and-multi-modal-distributions-2409.20547</loc><lastmod>2025-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/annealing-flow-generative-models-towards-sampling-high-dimensional-and-multi-modal-distributions-2409.20547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/annealing-flow-generative-models-towards-sampling-high-dimensional-and-multi-modal-distributions-2409.20547"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-inverse-problem-stability-regularization-and-wasserstein-gradient-flow-2410.00229</loc><lastmod>2024-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-inverse-problem-stability-regularization-and-wasserstein-gradient-flow-2410.00229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-inverse-problem-stability-regularization-and-wasserstein-gradient-flow-2410.00229"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalized-mean-approach-for-distributed-pca-2410.00397</loc><lastmod>2024-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalized-mean-approach-for-distributed-pca-2410.00397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalized-mean-approach-for-distributed-pca-2410.00397"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-interacting-multiple-model-particle-filtering-2410.00620</loc><lastmod>2024-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-interacting-multiple-model-particle-filtering-2410.00620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-interacting-multiple-model-particle-filtering-2410.00620"/></url>
<url><loc>https://scifaro.com/en/abs/an-em-gradient-algorithm-for-mixture-models-with-components-derived-from-the-manly-transformation-2410.00848</loc><lastmod>2025-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-em-gradient-algorithm-for-mixture-models-with-components-derived-from-the-manly-transformation-2410.00848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-em-gradient-algorithm-for-mixture-models-with-components-derived-from-the-manly-transformation-2410.00848"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-topology-and-geometry-of-population-based-shm-2410.00923</loc><lastmod>2024-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-topology-and-geometry-of-population-based-shm-2410.00923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-topology-and-geometry-of-population-based-shm-2410.00923"/></url>
<url><loc>https://scifaro.com/en/abs/streamensemble-predictive-queries-over-spatiotemporal-streaming-data-2410.00933</loc><lastmod>2024-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streamensemble-predictive-queries-over-spatiotemporal-streaming-data-2410.00933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streamensemble-predictive-queries-over-spatiotemporal-streaming-data-2410.00933"/></url>
<url><loc>https://scifaro.com/en/abs/ar-sieve-bootstrap-for-the-random-forest-and-a-simulation-based-comparison-with-rangerts-time-series-prediction-2410.00942</loc><lastmod>2024-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ar-sieve-bootstrap-for-the-random-forest-and-a-simulation-based-comparison-with-rangerts-time-series-prediction-2410.00942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ar-sieve-bootstrap-for-the-random-forest-and-a-simulation-based-comparison-with-rangerts-time-series-prediction-2410.00942"/></url>
<url><loc>https://scifaro.com/en/abs/an-introduction-to-deep-survival-analysis-models-for-predicting-time-to-event-outcomes-2410.01086</loc><lastmod>2024-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-introduction-to-deep-survival-analysis-models-for-predicting-time-to-event-outcomes-2410.01086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-introduction-to-deep-survival-analysis-models-for-predicting-time-to-event-outcomes-2410.01086"/></url>
<url><loc>https://scifaro.com/en/abs/equivariant-score-based-generative-models-provably-learn-distributions-with-symmetries-efficiently-2410.01244</loc><lastmod>2026-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivariant-score-based-generative-models-provably-learn-distributions-with-symmetries-efficiently-2410.01244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivariant-score-based-generative-models-provably-learn-distributions-with-symmetries-efficiently-2410.01244"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-optimism-and-model-complexity-in-the-wake-of-overparameterized-machine-learning-2410.01259</loc><lastmod>2024-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-optimism-and-model-complexity-in-the-wake-of-overparameterized-machine-learning-2410.01259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-optimism-and-model-complexity-in-the-wake-of-overparameterized-machine-learning-2410.01259"/></url>
<url><loc>https://scifaro.com/en/abs/transformers-handle-endogeneity-in-in-context-linear-regression-2410.01265</loc><lastmod>2025-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformers-handle-endogeneity-in-in-context-linear-regression-2410.01265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformers-handle-endogeneity-in-in-context-linear-regression-2410.01265"/></url>
<url><loc>https://scifaro.com/en/abs/deep-kernel-posterior-learning-under-infinite-variance-prior-weights-2410.01284</loc><lastmod>2025-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-kernel-posterior-learning-under-infinite-variance-prior-weights-2410.01284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-kernel-posterior-learning-under-infinite-variance-prior-weights-2410.01284"/></url>
<url><loc>https://scifaro.com/en/abs/introducing-flexible-monotone-multiple-choice-item-response-theory-models-and-bit-scales-2410.01480</loc><lastmod>2024-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introducing-flexible-monotone-multiple-choice-item-response-theory-models-and-bit-scales-2410.01480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introducing-flexible-monotone-multiple-choice-item-response-theory-models-and-bit-scales-2410.01480"/></url>
<url><loc>https://scifaro.com/en/abs/one-wave-to-explain-them-all-a-unifying-perspective-on-feature-attribution-2410.01482</loc><lastmod>2025-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-wave-to-explain-them-all-a-unifying-perspective-on-feature-attribution-2410.01482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-wave-to-explain-them-all-a-unifying-perspective-on-feature-attribution-2410.01482"/></url>
<url><loc>https://scifaro.com/en/abs/attention-layers-provably-solve-single-location-regression-2410.01537</loc><lastmod>2025-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-layers-provably-solve-single-location-regression-2410.01537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-layers-provably-solve-single-location-regression-2410.01537"/></url>
<url><loc>https://scifaro.com/en/abs/frednormer-frequency-domain-normalization-for-non-stationary-time-series-forecasting-2410.01860</loc><lastmod>2024-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frednormer-frequency-domain-normalization-for-non-stationary-time-series-forecasting-2410.01860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frednormer-frequency-domain-normalization-for-non-stationary-time-series-forecasting-2410.01860"/></url>
<url><loc>https://scifaro.com/en/abs/posterior-sampling-via-langevin-dynamics-based-on-generative-priors-2410.02078</loc><lastmod>2024-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/posterior-sampling-via-langevin-dynamics-based-on-generative-priors-2410.02078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/posterior-sampling-via-langevin-dynamics-based-on-generative-priors-2410.02078"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-ipss-fast-flexible-feature-selection-with-false-discovery-control-2410.02208</loc><lastmod>2025-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-ipss-fast-flexible-feature-selection-with-false-discovery-control-2410.02208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-ipss-fast-flexible-feature-selection-with-false-discovery-control-2410.02208"/></url>
<url><loc>https://scifaro.com/en/abs/on-lai-s-upper-confidence-bound-in-multi-armed-bandits-2410.02279</loc><lastmod>2024-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-lai-s-upper-confidence-bound-in-multi-armed-bandits-2410.02279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-lai-s-upper-confidence-bound-in-multi-armed-bandits-2410.02279"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-learning-with-discretely-observed-functional-data-2410.02376</loc><lastmod>2025-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-learning-with-discretely-observed-functional-data-2410.02376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-learning-with-discretely-observed-functional-data-2410.02376"/></url>
<url><loc>https://scifaro.com/en/abs/dual-active-learning-for-reinforcement-learning-from-human-feedback-2410.02504</loc><lastmod>2025-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-active-learning-for-reinforcement-learning-from-human-feedback-2410.02504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-active-learning-for-reinforcement-learning-from-human-feedback-2410.02504"/></url>
<url><loc>https://scifaro.com/en/abs/local-flow-matching-generative-models-2410.02548</loc><lastmod>2025-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-flow-matching-generative-models-2410.02548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-flow-matching-generative-models-2410.02548"/></url>
<url><loc>https://scifaro.com/en/abs/the-benefit-of-being-bayesian-in-online-conformal-prediction-2410.02561</loc><lastmod>2025-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-benefit-of-being-bayesian-in-online-conformal-prediction-2410.02561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-benefit-of-being-bayesian-in-online-conformal-prediction-2410.02561"/></url>
<url><loc>https://scifaro.com/en/abs/highly-adaptive-ridge-2410.02680</loc><lastmod>2024-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/highly-adaptive-ridge-2410.02680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/highly-adaptive-ridge-2410.02680"/></url>
<url><loc>https://scifaro.com/en/abs/large-language-models-as-markov-chains-2410.02724</loc><lastmod>2025-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-language-models-as-markov-chains-2410.02724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-language-models-as-markov-chains-2410.02724"/></url>
<url><loc>https://scifaro.com/en/abs/asymmetry-of-the-relative-entropy-in-the-regularization-of-empirical-risk-minimization-2410.02833</loc><lastmod>2025-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymmetry-of-the-relative-entropy-in-the-regularization-of-empirical-risk-minimization-2410.02833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymmetry-of-the-relative-entropy-in-the-regularization-of-empirical-risk-minimization-2410.02833"/></url>
<url><loc>https://scifaro.com/en/abs/candoit-causal-discovery-with-observational-and-interventional-data-from-time-series-2410.02844</loc><lastmod>2024-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/candoit-causal-discovery-with-observational-and-interventional-data-from-time-series-2410.02844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/candoit-causal-discovery-with-observational-and-interventional-data-from-time-series-2410.02844"/></url>
<url><loc>https://scifaro.com/en/abs/on-expert-estimation-in-hierarchical-mixture-of-experts-beyond-softmax-gating-functions-2410.02935</loc><lastmod>2025-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-expert-estimation-in-hierarchical-mixture-of-experts-beyond-softmax-gating-functions-2410.02935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-expert-estimation-in-hierarchical-mixture-of-experts-beyond-softmax-gating-functions-2410.02935"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-isoperimetric-inequalities-and-sampling-via-lyapunov-potentials-2410.02979</loc><lastmod>2025-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-isoperimetric-inequalities-and-sampling-via-lyapunov-potentials-2410.02979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-isoperimetric-inequalities-and-sampling-via-lyapunov-potentials-2410.02979"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-the-universality-of-transformers-for-next-token-prediction-2410.03011</loc><lastmod>2025-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-the-universality-of-transformers-for-next-token-prediction-2410.03011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-the-universality-of-transformers-for-next-token-prediction-2410.03011"/></url>
<url><loc>https://scifaro.com/en/abs/forest-proximities-for-time-series-2410.03098</loc><lastmod>2025-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forest-proximities-for-time-series-2410.03098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forest-proximities-for-time-series-2410.03098"/></url>
<url><loc>https://scifaro.com/en/abs/nested-deep-learning-model-towards-a-foundation-model-for-brain-signal-data-2410.03191</loc><lastmod>2026-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nested-deep-learning-model-towards-a-foundation-model-for-brain-signal-data-2410.03191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nested-deep-learning-model-towards-a-foundation-model-for-brain-signal-data-2410.03191"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-steer-with-brownian-noise-2410.03221</loc><lastmod>2024-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-steer-with-brownian-noise-2410.03221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-steer-with-brownian-noise-2410.03221"/></url>
<url><loc>https://scifaro.com/en/abs/elucidating-the-design-choice-of-probability-paths-in-flow-matching-for-forecasting-2410.03229</loc><lastmod>2025-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elucidating-the-design-choice-of-probability-paths-in-flow-matching-for-forecasting-2410.03229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elucidating-the-design-choice-of-probability-paths-in-flow-matching-for-forecasting-2410.03229"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-transport-for-epsilon-contaminated-credal-sets-to-the-memory-of-sayan-mukherjee-2410.03267</loc><lastmod>2025-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-transport-for-epsilon-contaminated-credal-sets-to-the-memory-of-sayan-mukherjee-2410.03267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-transport-for-epsilon-contaminated-credal-sets-to-the-memory-of-sayan-mukherjee-2410.03267"/></url>
<url><loc>https://scifaro.com/en/abs/conformal-confidence-sets-for-biomedical-image-segmentation-2410.03406</loc><lastmod>2024-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformal-confidence-sets-for-biomedical-image-segmentation-2410.03406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformal-confidence-sets-for-biomedical-image-segmentation-2410.03406"/></url>
<url><loc>https://scifaro.com/en/abs/nonstationary-sparse-spectral-permanental-process-2410.03581</loc><lastmod>2024-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonstationary-sparse-spectral-permanental-process-2410.03581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonstationary-sparse-spectral-permanental-process-2410.03581"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-optimal-trust-aware-multi-armed-bandits-2410.03651</loc><lastmod>2024-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-optimal-trust-aware-multi-armed-bandits-2410.03651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-optimal-trust-aware-multi-armed-bandits-2410.03651"/></url>
<url><loc>https://scifaro.com/en/abs/robust-barycenter-estimation-using-semi-unbalanced-neural-optimal-transport-2410.03974</loc><lastmod>2025-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-barycenter-estimation-using-semi-unbalanced-neural-optimal-transport-2410.03974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-barycenter-estimation-using-semi-unbalanced-neural-optimal-transport-2410.03974"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-bias-of-mirror-flow-for-shallow-neural-networks-in-univariate-regression-2410.03988</loc><lastmod>2025-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-bias-of-mirror-flow-for-shallow-neural-networks-in-univariate-regression-2410.03988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-bias-of-mirror-flow-for-shallow-neural-networks-in-univariate-regression-2410.03988"/></url>
<url><loc>https://scifaro.com/en/abs/is-score-matching-suitable-for-estimating-point-processes-2410.04037</loc><lastmod>2024-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-score-matching-suitable-for-estimating-point-processes-2410.04037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-score-matching-suitable-for-estimating-point-processes-2410.04037"/></url>
<url><loc>https://scifaro.com/en/abs/pfedgame-decentralized-federated-learning-using-game-theory-in-dynamic-topology-2410.04058</loc><lastmod>2024-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pfedgame-decentralized-federated-learning-using-game-theory-in-dynamic-topology-2410.04058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pfedgame-decentralized-federated-learning-using-game-theory-in-dynamic-topology-2410.04058"/></url>
<url><loc>https://scifaro.com/en/abs/decoupling-dynamical-richness-from-representation-learning-towards-practical-measurement-2410.04264</loc><lastmod>2026-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoupling-dynamical-richness-from-representation-learning-towards-practical-measurement-2410.04264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoupling-dynamical-richness-from-representation-learning-towards-practical-measurement-2410.04264"/></url>
<url><loc>https://scifaro.com/en/abs/grokking-at-the-edge-of-linear-separability-2410.04489</loc><lastmod>2025-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grokking-at-the-edge-of-linear-separability-2410.04489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grokking-at-the-edge-of-linear-separability-2410.04489"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-runge-kutta-methods-provable-acceleration-of-diffusion-models-2410.04760</loc><lastmod>2024-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-runge-kutta-methods-provable-acceleration-of-diffusion-models-2410.04760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-runge-kutta-methods-provable-acceleration-of-diffusion-models-2410.04760"/></url>
<url><loc>https://scifaro.com/en/abs/agnostic-smoothed-online-learning-without-knowledge-of-the-base-measure-2410.05124</loc><lastmod>2025-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agnostic-smoothed-online-learning-without-knowledge-of-the-base-measure-2410.05124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agnostic-smoothed-online-learning-without-knowledge-of-the-base-measure-2410.05124"/></url>
<url><loc>https://scifaro.com/en/abs/are-causal-effect-estimations-enough-for-optimal-recommendations-under-multitreatment-scenarios-2410.05177</loc><lastmod>2024-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-causal-effect-estimations-enough-for-optimal-recommendations-under-multitreatment-scenarios-2410.05177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-causal-effect-estimations-enough-for-optimal-recommendations-under-multitreatment-scenarios-2410.05177"/></url>
<url><loc>https://scifaro.com/en/abs/bias-aware-conformal-prediction-for-metric-based-imaging-pipelines-2410.05263</loc><lastmod>2026-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bias-aware-conformal-prediction-for-metric-based-imaging-pipelines-2410.05263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bias-aware-conformal-prediction-for-metric-based-imaging-pipelines-2410.05263"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-for-combinatorial-bandits-polynomial-regret-and-mismatched-sampling-paradox-2410.05441</loc><lastmod>2024-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-for-combinatorial-bandits-polynomial-regret-and-mismatched-sampling-paradox-2410.05441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-for-combinatorial-bandits-polynomial-regret-and-mismatched-sampling-paradox-2410.05441"/></url>
<url><loc>https://scifaro.com/en/abs/meta-dynamical-state-space-models-for-integrative-neural-data-analysis-2410.05454</loc><lastmod>2025-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-dynamical-state-space-models-for-integrative-neural-data-analysis-2410.05454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-dynamical-state-space-models-for-integrative-neural-data-analysis-2410.05454"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-adaptive-experimental-design-for-estimating-treatment-effect-2410.05552</loc><lastmod>2024-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-adaptive-experimental-design-for-estimating-treatment-effect-2410.05552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-adaptive-experimental-design-for-estimating-treatment-effect-2410.05552"/></url>
<url><loc>https://scifaro.com/en/abs/smart-a-flexible-approach-to-regression-using-spline-based-multivariate-adaptive-regression-trees-2410.05597</loc><lastmod>2024-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smart-a-flexible-approach-to-regression-using-spline-based-multivariate-adaptive-regression-trees-2410.05597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smart-a-flexible-approach-to-regression-using-spline-based-multivariate-adaptive-regression-trees-2410.05597"/></url>
<url><loc>https://scifaro.com/en/abs/amortized-control-of-continuous-state-space-feynman-kac-model-for-irregular-time-series-2410.05602</loc><lastmod>2025-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amortized-control-of-continuous-state-space-feynman-kac-model-for-irregular-time-series-2410.05602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amortized-control-of-continuous-state-space-feynman-kac-model-for-irregular-time-series-2410.05602"/></url>
<url><loc>https://scifaro.com/en/abs/the-breakdown-of-gaussian-universality-in-classification-of-high-dimensional-linear-factor-mixtures-2410.05609</loc><lastmod>2025-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-breakdown-of-gaussian-universality-in-classification-of-high-dimensional-linear-factor-mixtures-2410.05609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-breakdown-of-gaussian-universality-in-classification-of-high-dimensional-linear-factor-mixtures-2410.05609"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-impacts-of-the-random-initialization-in-the-neural-tangent-kernel-theory-2410.05626</loc><lastmod>2024-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-impacts-of-the-random-initialization-in-the-neural-tangent-kernel-theory-2410.05626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-impacts-of-the-random-initialization-in-the-neural-tangent-kernel-theory-2410.05626"/></url>
<url><loc>https://scifaro.com/en/abs/long-context-linear-system-identification-2410.05690</loc><lastmod>2025-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/long-context-linear-system-identification-2410.05690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/long-context-linear-system-identification-2410.05690"/></url>
<url><loc>https://scifaro.com/en/abs/pathwise-gradient-variance-reduction-with-control-variates-in-variational-inference-2410.05753</loc><lastmod>2024-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pathwise-gradient-variance-reduction-with-control-variates-in-variational-inference-2410.05753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pathwise-gradient-variance-reduction-with-control-variates-in-variational-inference-2410.05753"/></url>
<url><loc>https://scifaro.com/en/abs/temperature-optimization-for-bayesian-deep-learning-2410.05757</loc><lastmod>2025-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temperature-optimization-for-bayesian-deep-learning-2410.05757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temperature-optimization-for-bayesian-deep-learning-2410.05757"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-aware-fairness-adaptive-classification-trees-2410.05810</loc><lastmod>2024-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-aware-fairness-adaptive-classification-trees-2410.05810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-aware-fairness-adaptive-classification-trees-2410.05810"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-bandits-for-egalitarian-assignment-2410.05856</loc><lastmod>2024-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-bandits-for-egalitarian-assignment-2410.05856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-bandits-for-egalitarian-assignment-2410.05856"/></url>
<url><loc>https://scifaro.com/en/abs/manifolds-random-matrices-and-spectral-gaps-the-geometric-phases-of-generative-diffusion-2410.05898</loc><lastmod>2025-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifolds-random-matrices-and-spectral-gaps-the-geometric-phases-of-generative-diffusion-2410.05898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifolds-random-matrices-and-spectral-gaps-the-geometric-phases-of-generative-diffusion-2410.05898"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-sparse-additive-model-with-unknown-link-function-2410.06012</loc><lastmod>2024-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-sparse-additive-model-with-unknown-link-function-2410.06012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-sparse-additive-model-with-unknown-link-function-2410.06012"/></url>
<url><loc>https://scifaro.com/en/abs/markov-equivalence-and-consistency-in-differentiable-structure-learning-2410.06163</loc><lastmod>2024-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-equivalence-and-consistency-in-differentiable-structure-learning-2410.06163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-equivalence-and-consistency-in-differentiable-structure-learning-2410.06163"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-kernel-regularisation-improves-generalisation-in-deep-kernel-machines-2410.06171</loc><lastmod>2024-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-kernel-regularisation-improves-generalisation-in-deep-kernel-machines-2410.06171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-kernel-regularisation-improves-generalisation-in-deep-kernel-machines-2410.06171"/></url>
<url><loc>https://scifaro.com/en/abs/joint-bayesian-parameter-and-model-order-estimation-for-low-rank-probability-mass-tensors-2410.06329</loc><lastmod>2026-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-bayesian-parameter-and-model-order-estimation-for-low-rank-probability-mass-tensors-2410.06329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-bayesian-parameter-and-model-order-estimation-for-low-rank-probability-mass-tensors-2410.06329"/></url>
<url><loc>https://scifaro.com/en/abs/covering-numbers-for-deep-relu-networks-with-applications-to-function-approximation-and-nonparametric-regression-2410.06378</loc><lastmod>2026-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covering-numbers-for-deep-relu-networks-with-applications-to-function-approximation-and-nonparametric-regression-2410.06378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covering-numbers-for-deep-relu-networks-with-applications-to-function-approximation-and-nonparametric-regression-2410.06378"/></url>
<url><loc>https://scifaro.com/en/abs/gridded-transformer-neural-processes-for-large-unstructured-spatio-temporal-data-2410.06731</loc><lastmod>2024-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gridded-transformer-neural-processes-for-large-unstructured-spatio-temporal-data-2410.06731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gridded-transformer-neural-processes-for-large-unstructured-spatio-temporal-data-2410.06731"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-vulnerability-as-a-consequence-of-on-manifold-inseparibility-2410.06921</loc><lastmod>2024-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-vulnerability-as-a-consequence-of-on-manifold-inseparibility-2410.06921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-vulnerability-as-a-consequence-of-on-manifold-inseparibility-2410.06921"/></url>
<url><loc>https://scifaro.com/en/abs/do-contemporary-causal-inference-models-capture-real-world-heterogeneity-findings-from-a-large-scale-benchmark-2410.07021</loc><lastmod>2025-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-contemporary-causal-inference-models-capture-real-world-heterogeneity-findings-from-a-large-scale-benchmark-2410.07021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-contemporary-causal-inference-models-capture-real-world-heterogeneity-findings-from-a-large-scale-benchmark-2410.07021"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-summary-statistics-2410.07548</loc><lastmod>2025-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-summary-statistics-2410.07548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-summary-statistics-2410.07548"/></url>
<url><loc>https://scifaro.com/en/abs/gap-dependent-bounds-for-q-learning-using-reference-advantage-decomposition-2410.07574</loc><lastmod>2025-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gap-dependent-bounds-for-q-learning-using-reference-advantage-decomposition-2410.07574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gap-dependent-bounds-for-q-learning-using-reference-advantage-decomposition-2410.07574"/></url>
<url><loc>https://scifaro.com/en/abs/on-reward-transferability-in-adversarial-inverse-reinforcement-learning-insights-from-random-matrix-theory-2410.07643</loc><lastmod>2024-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-reward-transferability-in-adversarial-inverse-reinforcement-learning-insights-from-random-matrix-theory-2410.07643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-reward-transferability-in-adversarial-inverse-reinforcement-learning-insights-from-random-matrix-theory-2410.07643"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-limits-of-descending-ell-0-sparse-regression-ml-algorithms-2410.07651</loc><lastmod>2024-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-limits-of-descending-ell-0-sparse-regression-ml-algorithms-2410.07651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-limits-of-descending-ell-0-sparse-regression-ml-algorithms-2410.07651"/></url>
<url><loc>https://scifaro.com/en/abs/breaking-the-curse-of-dimensionality-in-structured-density-estimation-2410.07685</loc><lastmod>2024-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breaking-the-curse-of-dimensionality-in-structured-density-estimation-2410.07685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breaking-the-curse-of-dimensionality-in-structured-density-estimation-2410.07685"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-grid-sampling-limit-sde-2410.07778</loc><lastmod>2024-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-grid-sampling-limit-sde-2410.07778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-grid-sampling-limit-sde-2410.07778"/></url>
<url><loc>https://scifaro.com/en/abs/orthogonal-nonnegative-matrix-factorization-with-the-kullback-leibler-divergence-2410.07786</loc><lastmod>2025-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthogonal-nonnegative-matrix-factorization-with-the-kullback-leibler-divergence-2410.07786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthogonal-nonnegative-matrix-factorization-with-the-kullback-leibler-divergence-2410.07786"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-latent-disease-factors-differently-expressed-in-patient-subgroups-using-group-factor-analysis-2410.07890</loc><lastmod>2024-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-latent-disease-factors-differently-expressed-in-patient-subgroups-using-group-factor-analysis-2410.07890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-latent-disease-factors-differently-expressed-in-patient-subgroups-using-group-factor-analysis-2410.07890"/></url>
<url><loc>https://scifaro.com/en/abs/cost-aware-simulation-based-inference-2410.07930</loc><lastmod>2025-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-aware-simulation-based-inference-2410.07930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-aware-simulation-based-inference-2410.07930"/></url>
<url><loc>https://scifaro.com/en/abs/addressing-rotational-learning-dynamics-in-multi-agent-reinforcement-learning-2410.07976</loc><lastmod>2025-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/addressing-rotational-learning-dynamics-in-multi-agent-reinforcement-learning-2410.07976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/addressing-rotational-learning-dynamics-in-multi-agent-reinforcement-learning-2410.07976"/></url>
<url><loc>https://scifaro.com/en/abs/features-are-fate-a-theory-of-transfer-learning-in-high-dimensional-regression-2410.08194</loc><lastmod>2025-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/features-are-fate-a-theory-of-transfer-learning-in-high-dimensional-regression-2410.08194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/features-are-fate-a-theory-of-transfer-learning-in-high-dimensional-regression-2410.08194"/></url>
<url><loc>https://scifaro.com/en/abs/correspondence-of-nngp-kernel-and-the-matern-kernel-2410.08311</loc><lastmod>2024-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correspondence-of-nngp-kernel-and-the-matern-kernel-2410.08311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correspondence-of-nngp-kernel-and-the-matern-kernel-2410.08311"/></url>
<url><loc>https://scifaro.com/en/abs/avoiding-mode-collapse-in-diffusion-models-fine-tuned-with-reinforcement-learning-2410.08315</loc><lastmod>2024-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/avoiding-mode-collapse-in-diffusion-models-fine-tuned-with-reinforcement-learning-2410.08315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/avoiding-mode-collapse-in-diffusion-models-fine-tuned-with-reinforcement-learning-2410.08315"/></url>
<url><loc>https://scifaro.com/en/abs/markov-chain-gradient-descent-in-hilbert-spaces-2410.08361</loc><lastmod>2025-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-chain-gradient-descent-in-hilbert-spaces-2410.08361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-chain-gradient-descent-in-hilbert-spaces-2410.08361"/></url>
<url><loc>https://scifaro.com/en/abs/soak-same-other-all-k-fold-cross-validation-for-estimating-similarity-of-patterns-in-data-subsets-2410.08643</loc><lastmod>2024-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soak-same-other-all-k-fold-cross-validation-for-estimating-similarity-of-patterns-in-data-subsets-2410.08643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soak-same-other-all-k-fold-cross-validation-for-estimating-similarity-of-patterns-in-data-subsets-2410.08643"/></url>
<url><loc>https://scifaro.com/en/abs/losing-dimensions-geometric-memorization-in-generative-diffusion-2410.08727</loc><lastmod>2026-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/losing-dimensions-geometric-memorization-in-generative-diffusion-2410.08727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/losing-dimensions-geometric-memorization-in-generative-diffusion-2410.08727"/></url>
<url><loc>https://scifaro.com/en/abs/calibrated-computation-aware-gaussian-processes-2410.08796</loc><lastmod>2025-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrated-computation-aware-gaussian-processes-2410.08796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrated-computation-aware-gaussian-processes-2410.08796"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-statistical-accuracy-communication-trade-off-in-personalized-federated-learning-with-minimax-guarantees-2410.08934</loc><lastmod>2025-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-statistical-accuracy-communication-trade-off-in-personalized-federated-learning-with-minimax-guarantees-2410.08934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-statistical-accuracy-communication-trade-off-in-personalized-federated-learning-with-minimax-guarantees-2410.08934"/></url>
<url><loc>https://scifaro.com/en/abs/the-maps-algorithm-fast-model-agnostic-and-distribution-free-prediction-intervals-for-supervised-learning-2410.08958</loc><lastmod>2026-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-maps-algorithm-fast-model-agnostic-and-distribution-free-prediction-intervals-for-supervised-learning-2410.08958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-maps-algorithm-fast-model-agnostic-and-distribution-free-prediction-intervals-for-supervised-learning-2410.08958"/></url>
<url><loc>https://scifaro.com/en/abs/online-to-pac-generalization-bounds-under-graph-mixing-dependencies-2410.08977</loc><lastmod>2024-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-to-pac-generalization-bounds-under-graph-mixing-dependencies-2410.08977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-to-pac-generalization-bounds-under-graph-mixing-dependencies-2410.08977"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-downsampling-for-imbalanced-classification-with-generalized-linear-models-2410.08994</loc><lastmod>2025-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-downsampling-for-imbalanced-classification-with-generalized-linear-models-2410.08994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-downsampling-for-imbalanced-classification-with-generalized-linear-models-2410.08994"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-neural-scaling-laws-in-two-layer-networks-with-power-law-data-spectra-2410.09005</loc><lastmod>2024-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-neural-scaling-laws-in-two-layer-networks-with-power-law-data-spectra-2410.09005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-neural-scaling-laws-in-two-layer-networks-with-power-law-data-spectra-2410.09005"/></url>
<url><loc>https://scifaro.com/en/abs/linear-convergence-of-diffusion-models-under-the-manifold-hypothesis-2410.09046</loc><lastmod>2025-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-convergence-of-diffusion-models-under-the-manifold-hypothesis-2410.09046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-convergence-of-diffusion-models-under-the-manifold-hypothesis-2410.09046"/></url>
<url><loc>https://scifaro.com/en/abs/mvg-crps-a-robust-loss-function-for-multivariate-probabilistic-forecasting-2410.09133</loc><lastmod>2025-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mvg-crps-a-robust-loss-function-for-multivariate-probabilistic-forecasting-2410.09133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mvg-crps-a-robust-loss-function-for-multivariate-probabilistic-forecasting-2410.09133"/></url>
<url><loc>https://scifaro.com/en/abs/data-deletion-for-linear-regression-with-noisy-sgd-2410.09311</loc><lastmod>2024-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-deletion-for-linear-regression-with-noisy-sgd-2410.09311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-deletion-for-linear-regression-with-noisy-sgd-2410.09311"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-optimization-of-the-coefficient-of-determination-2410.09316</loc><lastmod>2024-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-optimization-of-the-coefficient-of-determination-2410.09316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-optimization-of-the-coefficient-of-determination-2410.09316"/></url>
<url><loc>https://scifaro.com/en/abs/identification-of-non-causal-graphical-models-2410.09480</loc><lastmod>2024-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identification-of-non-causal-graphical-models-2410.09480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identification-of-non-causal-graphical-models-2410.09480"/></url>
<url><loc>https://scifaro.com/en/abs/on-goodhart-s-law-with-an-application-to-value-alignment-2410.09638</loc><lastmod>2024-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-goodhart-s-law-with-an-application-to-value-alignment-2410.09638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-goodhart-s-law-with-an-application-to-value-alignment-2410.09638"/></url>
<url><loc>https://scifaro.com/en/abs/provable-convergence-and-limitations-of-geometric-tempering-for-langevin-dynamics-2410.09697</loc><lastmod>2025-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-convergence-and-limitations-of-geometric-tempering-for-langevin-dynamics-2410.09697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-convergence-and-limitations-of-geometric-tempering-for-langevin-dynamics-2410.09697"/></url>
<url><loc>https://scifaro.com/en/abs/transformers-as-game-players-provable-in-context-game-playing-capabilities-of-pre-trained-models-2410.09701</loc><lastmod>2024-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformers-as-game-players-provable-in-context-game-playing-capabilities-of-pre-trained-models-2410.09701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformers-as-game-players-provable-in-context-game-playing-capabilities-of-pre-trained-models-2410.09701"/></url>
<url><loc>https://scifaro.com/en/abs/variational-diffusion-posterior-sampling-with-midpoint-guidance-2410.09945</loc><lastmod>2024-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-diffusion-posterior-sampling-with-midpoint-guidance-2410.09945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-diffusion-posterior-sampling-with-midpoint-guidance-2410.09945"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-span-algorithms-make-predictable-progress-in-high-dimension-2410.09973</loc><lastmod>2024-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-span-algorithms-make-predictable-progress-in-high-dimension-2410.09973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-span-algorithms-make-predictable-progress-in-high-dimension-2410.09973"/></url>
<url><loc>https://scifaro.com/en/abs/dag-aware-transformer-for-causal-effect-estimation-2410.10044</loc><lastmod>2024-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dag-aware-transformer-for-causal-effect-estimation-2410.10044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dag-aware-transformer-for-causal-effect-estimation-2410.10044"/></url>
<url><loc>https://scifaro.com/en/abs/fasthdmi-fast-mutual-information-estimation-for-high-dimensional-data-2410.10082</loc><lastmod>2024-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fasthdmi-fast-mutual-information-estimation-for-high-dimensional-data-2410.10082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fasthdmi-fast-mutual-information-estimation-for-high-dimensional-data-2410.10082"/></url>
<url><loc>https://scifaro.com/en/abs/queueing-matching-bandits-with-preference-feedback-2410.10098</loc><lastmod>2025-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/queueing-matching-bandits-with-preference-feedback-2410.10098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/queueing-matching-bandits-with-preference-feedback-2410.10098"/></url>
<url><loc>https://scifaro.com/en/abs/neural-quasiprobabilistic-likelihood-ratio-estimation-with-negatively-weighted-data-2410.10216</loc><lastmod>2024-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-quasiprobabilistic-likelihood-ratio-estimation-with-negatively-weighted-data-2410.10216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-quasiprobabilistic-likelihood-ratio-estimation-with-negatively-weighted-data-2410.10216"/></url>
<url><loc>https://scifaro.com/en/abs/learning-via-surrogate-pac-bayes-2410.10230</loc><lastmod>2024-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-via-surrogate-pac-bayes-2410.10230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-via-surrogate-pac-bayes-2410.10230"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-and-computationally-tractable-lower-bounds-for-logistic-log-likelihoods-2410.10309</loc><lastmod>2025-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-and-computationally-tractable-lower-bounds-for-logistic-log-likelihoods-2410.10309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-and-computationally-tractable-lower-bounds-for-logistic-log-likelihoods-2410.10309"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimisation-with-unknown-hyperparameters-regret-bounds-logarithmically-closer-to-optimal-2410.10384</loc><lastmod>2024-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimisation-with-unknown-hyperparameters-regret-bounds-logarithmically-closer-to-optimal-2410.10384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimisation-with-unknown-hyperparameters-regret-bounds-logarithmically-closer-to-optimal-2410.10384"/></url>
<url><loc>https://scifaro.com/en/abs/coupled-autoregressive-active-inference-agents-for-control-of-multi-joint-dynamical-systems-2410.10415</loc><lastmod>2024-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coupled-autoregressive-active-inference-agents-for-control-of-multi-joint-dynamical-systems-2410.10415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coupled-autoregressive-active-inference-agents-for-control-of-multi-joint-dynamical-systems-2410.10415"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-inverse-problems-and-data-assimilation-2410.10523</loc><lastmod>2025-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-inverse-problems-and-data-assimilation-2410.10523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-inverse-problems-and-data-assimilation-2410.10523"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-approaches-for-modelling-target-behaviour-2410.10538</loc><lastmod>2024-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-approaches-for-modelling-target-behaviour-2410.10538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-approaches-for-modelling-target-behaviour-2410.10538"/></url>
<url><loc>https://scifaro.com/en/abs/robust-gradient-descent-for-phase-retrieval-2410.10623</loc><lastmod>2024-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-gradient-descent-for-phase-retrieval-2410.10623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-gradient-descent-for-phase-retrieval-2410.10623"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-differential-parameter-inference-in-exponential-family-using-time-score-matching-2410.10637</loc><lastmod>2025-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-differential-parameter-inference-in-exponential-family-using-time-score-matching-2410.10637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-differential-parameter-inference-in-exponential-family-using-time-score-matching-2410.10637"/></url>
<url><loc>https://scifaro.com/en/abs/replicable-uniformity-testing-2410.10892</loc><lastmod>2024-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/replicable-uniformity-testing-2410.10892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/replicable-uniformity-testing-2410.10892"/></url>
<url><loc>https://scifaro.com/en/abs/come-test-time-adaption-by-conservatively-minimizing-entropy-2410.10894</loc><lastmod>2024-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/come-test-time-adaption-by-conservatively-minimizing-entropy-2410.10894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/come-test-time-adaption-by-conservatively-minimizing-entropy-2410.10894"/></url>
<url><loc>https://scifaro.com/en/abs/a-benchmark-suite-for-evaluating-neural-mutual-information-estimators-on-unstructured-datasets-2410.10924</loc><lastmod>2024-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-benchmark-suite-for-evaluating-neural-mutual-information-estimators-on-unstructured-datasets-2410.10924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-benchmark-suite-for-evaluating-neural-mutual-information-estimators-on-unstructured-datasets-2410.10924"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-in-location-scale-families-exact-recovery-of-the-mean-and-correlation-matrix-2410.11067</loc><lastmod>2025-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-in-location-scale-families-exact-recovery-of-the-mean-and-correlation-matrix-2410.11067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-in-location-scale-families-exact-recovery-of-the-mean-and-correlation-matrix-2410.11067"/></url>
<url><loc>https://scifaro.com/en/abs/a-two-stage-federated-learning-approach-for-industrial-prognostics-using-large-scale-high-dimensional-signals-2410.11101</loc><lastmod>2024-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-two-stage-federated-learning-approach-for-industrial-prognostics-using-large-scale-high-dimensional-signals-2410.11101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-two-stage-federated-learning-approach-for-industrial-prognostics-using-large-scale-high-dimensional-signals-2410.11101"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-properties-of-deep-neural-networks-with-dependent-data-2410.11113</loc><lastmod>2025-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-properties-of-deep-neural-networks-with-dependent-data-2410.11113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-properties-of-deep-neural-networks-with-dependent-data-2410.11113"/></url>
<url><loc>https://scifaro.com/en/abs/quadratic-gating-mixture-of-experts-statistical-insights-into-self-attention-2410.11222</loc><lastmod>2025-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quadratic-gating-mixture-of-experts-statistical-insights-into-self-attention-2410.11222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quadratic-gating-mixture-of-experts-statistical-insights-into-self-attention-2410.11222"/></url>
<url><loc>https://scifaro.com/en/abs/guarantees-for-nonlinear-representation-learning-non-identical-covariates-dependent-data-fewer-samples-2410.11227</loc><lastmod>2024-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guarantees-for-nonlinear-representation-learning-non-identical-covariates-dependent-data-fewer-samples-2410.11227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guarantees-for-nonlinear-representation-learning-non-identical-covariates-dependent-data-fewer-samples-2410.11227"/></url>
<url><loc>https://scifaro.com/en/abs/on-rank-dependent-generalisation-error-bounds-for-transformers-2410.11500</loc><lastmod>2024-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-rank-dependent-generalisation-error-bounds-for-transformers-2410.11500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-rank-dependent-generalisation-error-bounds-for-transformers-2410.11500"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-diagonal-estimation-with-adaptive-parameter-selection-2410.11613</loc><lastmod>2024-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-diagonal-estimation-with-adaptive-parameter-selection-2410.11613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-diagonal-estimation-with-adaptive-parameter-selection-2410.11613"/></url>
<url><loc>https://scifaro.com/en/abs/zero-shot-model-based-reinforcement-learning-using-large-language-models-2410.11711</loc><lastmod>2025-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-shot-model-based-reinforcement-learning-using-large-language-models-2410.11711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-shot-model-based-reinforcement-learning-using-large-language-models-2410.11711"/></url>
<url><loc>https://scifaro.com/en/abs/stein-s-method-for-marginals-on-large-graphical-models-2410.11771</loc><lastmod>2026-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stein-s-method-for-marginals-on-large-graphical-models-2410.11771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stein-s-method-for-marginals-on-large-graphical-models-2410.11771"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-experimental-design-via-contrastive-diffusions-2410.11826</loc><lastmod>2025-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-experimental-design-via-contrastive-diffusions-2410.11826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-experimental-design-via-contrastive-diffusions-2410.11826"/></url>
<url><loc>https://scifaro.com/en/abs/parametric-model-reduction-of-mean-field-and-stochastic-systems-via-higher-order-action-matching-2410.12000</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parametric-model-reduction-of-mean-field-and-stochastic-systems-via-higher-order-action-matching-2410.12000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parametric-model-reduction-of-mean-field-and-stochastic-systems-via-higher-order-action-matching-2410.12000"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-importance-weighted-variational-inference-2410.12035</loc><lastmod>2026-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-importance-weighted-variational-inference-2410.12035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-importance-weighted-variational-inference-2410.12035"/></url>
<url><loc>https://scifaro.com/en/abs/deep-optimal-sensor-placement-for-black-box-stochastic-simulations-2410.12036</loc><lastmod>2025-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-optimal-sensor-placement-for-black-box-stochastic-simulations-2410.12036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-optimal-sensor-placement-for-black-box-stochastic-simulations-2410.12036"/></url>
<url><loc>https://scifaro.com/en/abs/global-censored-quantile-random-forest-2410.12209</loc><lastmod>2024-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-censored-quantile-random-forest-2410.12209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-censored-quantile-random-forest-2410.12209"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-optimization-algorithms-for-linear-adversarial-training-2410.12677</loc><lastmod>2025-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-optimization-algorithms-for-linear-adversarial-training-2410.12677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-optimization-algorithms-for-linear-adversarial-training-2410.12677"/></url>
<url><loc>https://scifaro.com/en/abs/local-transfer-learning-gaussian-process-modeling-with-applications-to-surrogate-modeling-of-expensive-computer-simulators-2410.12690</loc><lastmod>2025-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-transfer-learning-gaussian-process-modeling-with-applications-to-surrogate-modeling-of-expensive-computer-simulators-2410.12690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-transfer-learning-gaussian-process-modeling-with-applications-to-surrogate-modeling-of-expensive-computer-simulators-2410.12690"/></url>
<url><loc>https://scifaro.com/en/abs/credal-two-sample-tests-of-epistemic-uncertainty-2410.12921</loc><lastmod>2025-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/credal-two-sample-tests-of-epistemic-uncertainty-2410.12921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/credal-two-sample-tests-of-epistemic-uncertainty-2410.12921"/></url>
<url><loc>https://scifaro.com/en/abs/latency-aware-contextual-bandit-application-to-cryo-em-data-collection-2410.13109</loc><lastmod>2025-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latency-aware-contextual-bandit-application-to-cryo-em-data-collection-2410.13109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latency-aware-contextual-bandit-application-to-cryo-em-data-collection-2410.13109"/></url>
<url><loc>https://scifaro.com/en/abs/distributional-matrix-completion-via-nearest-neighbors-in-the-wasserstein-space-2410.13112</loc><lastmod>2025-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributional-matrix-completion-via-nearest-neighbors-in-the-wasserstein-space-2410.13112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributional-matrix-completion-via-nearest-neighbors-in-the-wasserstein-space-2410.13112"/></url>
<url><loc>https://scifaro.com/en/abs/l1-regularized-ica-a-novel-method-for-analysis-of-task-related-fmri-data-2410.13171</loc><lastmod>2024-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l1-regularized-ica-a-novel-method-for-analysis-of-task-related-fmri-data-2410.13171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l1-regularized-ica-a-novel-method-for-analysis-of-task-related-fmri-data-2410.13171"/></url>
<url><loc>https://scifaro.com/en/abs/a-theoretical-perspective-on-mode-collapse-in-variational-inference-2410.13300</loc><lastmod>2024-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theoretical-perspective-on-mode-collapse-in-variational-inference-2410.13300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theoretical-perspective-on-mode-collapse-in-variational-inference-2410.13300"/></url>
<url><loc>https://scifaro.com/en/abs/learning-counterfactual-distributions-via-kernel-nearest-neighbors-2410.13381</loc><lastmod>2025-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-counterfactual-distributions-via-kernel-nearest-neighbors-2410.13381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-counterfactual-distributions-via-kernel-nearest-neighbors-2410.13381"/></url>
<url><loc>https://scifaro.com/en/abs/ab-initio-nonparametric-variable-selection-for-scalable-symbolic-regression-with-large-p-2410.13681</loc><lastmod>2025-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ab-initio-nonparametric-variable-selection-for-scalable-symbolic-regression-with-large-p-2410.13681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ab-initio-nonparametric-variable-selection-for-scalable-symbolic-regression-with-large-p-2410.13681"/></url>
<url><loc>https://scifaro.com/en/abs/instance-dependent-convergence-theory-for-diffusion-models-2410.13738</loc><lastmod>2025-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instance-dependent-convergence-theory-for-diffusion-models-2410.13738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instance-dependent-convergence-theory-for-diffusion-models-2410.13738"/></url>
<url><loc>https://scifaro.com/en/abs/probing-the-latent-hierarchical-structure-of-data-via-diffusion-models-2410.13770</loc><lastmod>2025-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probing-the-latent-hierarchical-structure-of-data-via-diffusion-models-2410.13770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probing-the-latent-hierarchical-structure-of-data-via-diffusion-models-2410.13770"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-distributions-are-learnable-from-metastable-samples-2410.13800</loc><lastmod>2025-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-distributions-are-learnable-from-metastable-samples-2410.13800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-distributions-are-learnable-from-metastable-samples-2410.13800"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-neural-goodness-of-fit-test-for-time-series-2410.13986</loc><lastmod>2025-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-neural-goodness-of-fit-test-for-time-series-2410.13986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-neural-goodness-of-fit-test-for-time-series-2410.13986"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-decomposition-with-unaligned-observations-2410.14046</loc><lastmod>2025-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-decomposition-with-unaligned-observations-2410.14046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-decomposition-with-unaligned-observations-2410.14046"/></url>
<url><loc>https://scifaro.com/en/abs/feedback-schr-odinger-bridge-matching-2410.14055</loc><lastmod>2025-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feedback-schr-odinger-bridge-matching-2410.14055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feedback-schr-odinger-bridge-matching-2410.14055"/></url>
<url><loc>https://scifaro.com/en/abs/gradual-domain-adaptation-via-manifold-constrained-distributionally-robust-optimization-2410.14061</loc><lastmod>2024-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradual-domain-adaptation-via-manifold-constrained-distributionally-robust-optimization-2410.14061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradual-domain-adaptation-via-manifold-constrained-distributionally-robust-optimization-2410.14061"/></url>
<url><loc>https://scifaro.com/en/abs/adapting-projection-based-reduced-order-models-using-projected-gaussian-process-2410.14090</loc><lastmod>2025-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapting-projection-based-reduced-order-models-using-projected-gaussian-process-2410.14090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapting-projection-based-reduced-order-models-using-projected-gaussian-process-2410.14090"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-the-causal-effects-of-t-cell-receptors-2410.14127</loc><lastmod>2024-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-the-causal-effects-of-t-cell-receptors-2410.14127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-the-causal-effects-of-t-cell-receptors-2410.14127"/></url>
<url><loc>https://scifaro.com/en/abs/in-context-learning-for-mixture-of-linear-regressions-existence-generalization-and-training-dynamics-2410.14183</loc><lastmod>2025-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/in-context-learning-for-mixture-of-linear-regressions-existence-generalization-and-training-dynamics-2410.14183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/in-context-learning-for-mixture-of-linear-regressions-existence-generalization-and-training-dynamics-2410.14183"/></url>
<url><loc>https://scifaro.com/en/abs/comparative-evaluation-of-clustered-federated-learning-methods-2410.14212</loc><lastmod>2024-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparative-evaluation-of-clustered-federated-learning-methods-2410.14212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparative-evaluation-of-clustered-federated-learning-methods-2410.14212"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-importance-weighting-in-the-presence-of-sub-population-shifts-2410.14315</loc><lastmod>2025-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-importance-weighting-in-the-presence-of-sub-population-shifts-2410.14315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-importance-weighting-in-the-presence-of-sub-population-shifts-2410.14315"/></url>
<url><loc>https://scifaro.com/en/abs/interventional-processes-for-causal-uncertainty-quantification-2410.14483</loc><lastmod>2025-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interventional-processes-for-causal-uncertainty-quantification-2410.14483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interventional-processes-for-causal-uncertainty-quantification-2410.14483"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-based-semi-supervised-spectral-algorithm-for-regression-on-manifolds-2410.14539</loc><lastmod>2024-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-based-semi-supervised-spectral-algorithm-for-regression-on-manifolds-2410.14539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-based-semi-supervised-spectral-algorithm-for-regression-on-manifolds-2410.14539"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotically-optimal-change-detection-for-unnormalized-pre-and-post-change-distributions-2410.14615</loc><lastmod>2025-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotically-optimal-change-detection-for-unnormalized-pre-and-post-change-distributions-2410.14615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotically-optimal-change-detection-for-unnormalized-pre-and-post-change-distributions-2410.14615"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-contrastive-learning-performs-non-linear-system-identification-2410.14673</loc><lastmod>2025-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-contrastive-learning-performs-non-linear-system-identification-2410.14673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-contrastive-learning-performs-non-linear-system-identification-2410.14673"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-sparsity-of-the-strong-lottery-ticket-hypothesis-2410.14754</loc><lastmod>2024-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-sparsity-of-the-strong-lottery-ticket-hypothesis-2410.14754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-sparsity-of-the-strong-lottery-ticket-hypothesis-2410.14754"/></url>
<url><loc>https://scifaro.com/en/abs/universal-approximation-results-for-neural-networks-with-non-polynomial-activation-function-over-non-compact-domains-2410.14759</loc><lastmod>2025-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-approximation-results-for-neural-networks-with-non-polynomial-activation-function-over-non-compact-domains-2410.14759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-approximation-results-for-neural-networks-with-non-polynomial-activation-function-over-non-compact-domains-2410.14759"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-tensor-discriminant-analysis-with-incomplete-tensors-2410.14783</loc><lastmod>2024-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-tensor-discriminant-analysis-with-incomplete-tensors-2410.14783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-tensor-discriminant-analysis-with-incomplete-tensors-2410.14783"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-for-free-in-the-overparameterized-regime-2410.14787</loc><lastmod>2025-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-for-free-in-the-overparameterized-regime-2410.14787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-for-free-in-the-overparameterized-regime-2410.14787"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-variational-inference-learn-the-predictively-optimal-posterior-distribution-2410.14843</loc><lastmod>2026-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-variational-inference-learn-the-predictively-optimal-posterior-distribution-2410.14843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-variational-inference-learn-the-predictively-optimal-posterior-distribution-2410.14843"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-inference-for-feature-selection-after-optimal-transport-based-domain-adaptation-2410.15022</loc><lastmod>2024-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-inference-for-feature-selection-after-optimal-transport-based-domain-adaptation-2410.15022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-inference-for-feature-selection-after-optimal-transport-based-domain-adaptation-2410.15022"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-time-uniform-inference-for-parameters-in-averaged-stochastic-approximation-2410.15057</loc><lastmod>2024-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-time-uniform-inference-for-parameters-in-averaged-stochastic-approximation-2410.15057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-time-uniform-inference-for-parameters-in-averaged-stochastic-approximation-2410.15057"/></url>
<url><loc>https://scifaro.com/en/abs/controllable-ransac-based-anomaly-detection-via-hypothesis-testing-2410.15133</loc><lastmod>2024-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controllable-ransac-based-anomaly-detection-via-hypothesis-testing-2410.15133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controllable-ransac-based-anomaly-detection-via-hypothesis-testing-2410.15133"/></url>
<url><loc>https://scifaro.com/en/abs/hacsurv-a-hierarchical-copula-based-approach-for-survival-analysis-with-dependent-competing-risks-2410.15180</loc><lastmod>2025-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hacsurv-a-hierarchical-copula-based-approach-for-survival-analysis-with-dependent-competing-risks-2410.15180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hacsurv-a-hierarchical-copula-based-approach-for-survival-analysis-with-dependent-competing-risks-2410.15180"/></url>
<url><loc>https://scifaro.com/en/abs/amortized-probabilistic-conditioning-for-optimization-simulation-and-inference-2410.15320</loc><lastmod>2025-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amortized-probabilistic-conditioning-for-optimization-simulation-and-inference-2410.15320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amortized-probabilistic-conditioning-for-optimization-simulation-and-inference-2410.15320"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-pinn-sampler-2410.15336</loc><lastmod>2024-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-pinn-sampler-2410.15336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-pinn-sampler-2410.15336"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-characterization-of-the-population-area-under-the-risk-coverage-curve-aurc-and-rates-of-finite-sample-estimators-2410.15361</loc><lastmod>2025-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-characterization-of-the-population-area-under-the-risk-coverage-curve-aurc-and-rates-of-finite-sample-estimators-2410.15361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-characterization-of-the-population-area-under-the-risk-coverage-curve-aurc-and-rates-of-finite-sample-estimators-2410.15361"/></url>
<url><loc>https://scifaro.com/en/abs/learning-signals-defined-on-graphs-with-optimal-transport-and-gaussian-process-regression-2410.15721</loc><lastmod>2025-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-signals-defined-on-graphs-with-optimal-transport-and-gaussian-process-regression-2410.15721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-signals-defined-on-graphs-with-optimal-transport-and-gaussian-process-regression-2410.15721"/></url>
<url><loc>https://scifaro.com/en/abs/a-two-stage-learning-to-defer-approach-for-multi-task-learning-2410.15729</loc><lastmod>2025-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-two-stage-learning-to-defer-approach-for-multi-task-learning-2410.15729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-two-stage-learning-to-defer-approach-for-multi-task-learning-2410.15729"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-dependence-via-u-statistics-pruning-2410.15888</loc><lastmod>2025-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-dependence-via-u-statistics-pruning-2410.15888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-dependence-via-u-statistics-pruning-2410.15888"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-geometry-of-regularization-in-adversarial-training-high-dimensional-asymptotics-and-generalization-bounds-2410.16073</loc><lastmod>2024-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-geometry-of-regularization-in-adversarial-training-high-dimensional-asymptotics-and-generalization-bounds-2410.16073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-geometry-of-regularization-in-adversarial-training-high-dimensional-asymptotics-and-generalization-bounds-2410.16073"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-inference-for-temporal-difference-learning-with-linear-function-approximation-2410.16106</loc><lastmod>2026-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-inference-for-temporal-difference-learning-with-linear-function-approximation-2410.16106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-inference-for-temporal-difference-learning-with-linear-function-approximation-2410.16106"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-limitations-of-ensembles-in-the-age-of-overparameterization-2410.16201</loc><lastmod>2025-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-limitations-of-ensembles-in-the-age-of-overparameterization-2410.16201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-limitations-of-ensembles-in-the-age-of-overparameterization-2410.16201"/></url>
<url><loc>https://scifaro.com/en/abs/limit-theorems-for-stochastic-gradient-descent-with-infinite-variance-2410.16340</loc><lastmod>2025-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/limit-theorems-for-stochastic-gradient-descent-with-infinite-variance-2410.16340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/limit-theorems-for-stochastic-gradient-descent-with-infinite-variance-2410.16340"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-model-of-inference-scaling-laws-2410.16377</loc><lastmod>2024-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-model-of-inference-scaling-laws-2410.16377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-model-of-inference-scaling-laws-2410.16377"/></url>
<url><loc>https://scifaro.com/en/abs/data-augmentation-of-multivariate-sensor-time-series-using-autoregressive-models-and-application-to-failure-prognostics-2410.16419</loc><lastmod>2024-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-augmentation-of-multivariate-sensor-time-series-using-autoregressive-models-and-application-to-failure-prognostics-2410.16419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-augmentation-of-multivariate-sensor-time-series-using-autoregressive-models-and-application-to-failure-prognostics-2410.16419"/></url>
<url><loc>https://scifaro.com/en/abs/bi-eqno-generalized-approximate-bayesian-inference-with-an-equivariant-neural-operator-framework-2410.16420</loc><lastmod>2024-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bi-eqno-generalized-approximate-bayesian-inference-with-an-equivariant-neural-operator-framework-2410.16420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bi-eqno-generalized-approximate-bayesian-inference-with-an-equivariant-neural-operator-framework-2410.16420"/></url>
<url><loc>https://scifaro.com/en/abs/robust-feature-learning-for-multi-index-models-in-high-dimensions-2410.16449</loc><lastmod>2025-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-feature-learning-for-multi-index-models-in-high-dimensions-2410.16449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-feature-learning-for-multi-index-models-in-high-dimensions-2410.16449"/></url>
<url><loc>https://scifaro.com/en/abs/building-conformal-prediction-intervals-with-approximate-message-passing-2410.16493</loc><lastmod>2025-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-conformal-prediction-intervals-with-approximate-message-passing-2410.16493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-conformal-prediction-intervals-with-approximate-message-passing-2410.16493"/></url>
<url><loc>https://scifaro.com/en/abs/general-frameworks-for-conditional-two-sample-testing-2410.16636</loc><lastmod>2026-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/general-frameworks-for-conditional-two-sample-testing-2410.16636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/general-frameworks-for-conditional-two-sample-testing-2410.16636"/></url>
<url><loc>https://scifaro.com/en/abs/lower-bounds-for-time-varying-kernelized-bandits-2410.16692</loc><lastmod>2025-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lower-bounds-for-time-varying-kernelized-bandits-2410.16692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lower-bounds-for-time-varying-kernelized-bandits-2410.16692"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-convergence-guarantees-for-variational-autoencoders-2410.16750</loc><lastmod>2025-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-convergence-guarantees-for-variational-autoencoders-2410.16750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-convergence-guarantees-for-variational-autoencoders-2410.16750"/></url>
<url><loc>https://scifaro.com/en/abs/survival-models-proper-scoring-rule-and-stochastic-optimization-with-competing-risks-2410.16765</loc><lastmod>2024-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survival-models-proper-scoring-rule-and-stochastic-optimization-with-competing-risks-2410.16765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survival-models-proper-scoring-rule-and-stochastic-optimization-with-competing-risks-2410.16765"/></url>
<url><loc>https://scifaro.com/en/abs/federated-causal-inference-multi-study-ate-estimation-beyond-meta-analysis-2410.16870</loc><lastmod>2025-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-causal-inference-multi-study-ate-estimation-beyond-meta-analysis-2410.16870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-causal-inference-multi-study-ate-estimation-beyond-meta-analysis-2410.16870"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-transfer-learning-via-mean-field-analysis-2410.17128</loc><lastmod>2024-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-transfer-learning-via-mean-field-analysis-2410.17128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-transfer-learning-via-mean-field-analysis-2410.17128"/></url>
<url><loc>https://scifaro.com/en/abs/error-estimates-between-sgd-with-momentum-and-underdamped-langevin-diffusion-2410.17297</loc><lastmod>2024-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-estimates-between-sgd-with-momentum-and-underdamped-langevin-diffusion-2410.17297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-estimates-between-sgd-with-momentum-and-underdamped-langevin-diffusion-2410.17297"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-implicit-graphon-learning-2410.17464</loc><lastmod>2025-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-implicit-graphon-learning-2410.17464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-implicit-graphon-learning-2410.17464"/></url>
<url><loc>https://scifaro.com/en/abs/semi-implicit-functional-gradient-flow-for-efficient-sampling-2410.17935</loc><lastmod>2025-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-implicit-functional-gradient-flow-for-efficient-sampling-2410.17935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-implicit-functional-gradient-flow-for-efficient-sampling-2410.17935"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-descent-in-high-dimensions-for-multi-spiked-tensor-pca-2410.18162</loc><lastmod>2025-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-descent-in-high-dimensions-for-multi-spiked-tensor-pca-2410.18162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-descent-in-high-dimensions-for-multi-spiked-tensor-pca-2410.18162"/></url>
<url><loc>https://scifaro.com/en/abs/stabilizing-black-box-model-selection-with-the-inflated-argmax-2410.18268</loc><lastmod>2025-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stabilizing-black-box-model-selection-with-the-inflated-argmax-2410.18268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stabilizing-black-box-model-selection-with-the-inflated-argmax-2410.18268"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-analysis-of-knowledge-distillation-weak-to-strong-generalization-and-scaling-laws-2410.18837</loc><lastmod>2025-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-analysis-of-knowledge-distillation-weak-to-strong-generalization-and-scaling-laws-2410.18837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-analysis-of-knowledge-distillation-weak-to-strong-generalization-and-scaling-laws-2410.18837"/></url>
<url><loc>https://scifaro.com/en/abs/missnodag-differentiable-cyclic-causal-graph-learning-from-incomplete-data-2410.18918</loc><lastmod>2026-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/missnodag-differentiable-cyclic-causal-graph-learning-from-incomplete-data-2410.18918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/missnodag-differentiable-cyclic-causal-graph-learning-from-incomplete-data-2410.18918"/></url>
<url><loc>https://scifaro.com/en/abs/a-random-matrix-theory-perspective-on-the-spectrum-of-learned-features-and-asymptotic-generalization-capabilities-2410.18938</loc><lastmod>2024-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-random-matrix-theory-perspective-on-the-spectrum-of-learned-features-and-asymptotic-generalization-capabilities-2410.18938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-random-matrix-theory-perspective-on-the-spectrum-of-learned-features-and-asymptotic-generalization-capabilities-2410.18938"/></url>
<url><loc>https://scifaro.com/en/abs/deterministic-fokker-planck-transport-with-applications-to-sampling-variational-inference-kernel-mean-embeddings-sequential-monte-carlo-2410.18993</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deterministic-fokker-planck-transport-with-applications-to-sampling-variational-inference-kernel-mean-embeddings-sequential-monte-carlo-2410.18993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deterministic-fokker-planck-transport-with-applications-to-sampling-variational-inference-kernel-mean-embeddings-sequential-monte-carlo-2410.18993"/></url>
<url><loc>https://scifaro.com/en/abs/less-discriminatory-alternative-and-interpretable-xgboost-framework-for-binary-classification-2410.19067</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/less-discriminatory-alternative-and-interpretable-xgboost-framework-for-binary-classification-2410.19067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/less-discriminatory-alternative-and-interpretable-xgboost-framework-for-binary-classification-2410.19067"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalized-framework-for-multiscale-state-space-modeling-with-nested-nonlinear-dynamics-an-application-to-bayesian-learning-under-switching-regimes-2410.19074</loc><lastmod>2024-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalized-framework-for-multiscale-state-space-modeling-with-nested-nonlinear-dynamics-an-application-to-bayesian-learning-under-switching-regimes-2410.19074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalized-framework-for-multiscale-state-space-modeling-with-nested-nonlinear-dynamics-an-application-to-bayesian-learning-under-switching-regimes-2410.19074"/></url>
<url><loc>https://scifaro.com/en/abs/inherently-interpretable-tree-ensemble-learning-2410.19098</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inherently-interpretable-tree-ensemble-learning-2410.19098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inherently-interpretable-tree-ensemble-learning-2410.19098"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-diffusions-for-amortized-neural-posterior-estimation-2410.19105</loc><lastmod>2025-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-diffusions-for-amortized-neural-posterior-estimation-2410.19105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-diffusions-for-amortized-neural-posterior-estimation-2410.19105"/></url>
<url><loc>https://scifaro.com/en/abs/a-spectral-method-for-multi-view-subspace-learning-using-the-product-of-projections-2410.19125</loc><lastmod>2025-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-spectral-method-for-multi-view-subspace-learning-using-the-product-of-projections-2410.19125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-spectral-method-for-multi-view-subspace-learning-using-the-product-of-projections-2410.19125"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-a-posteriori-inference-for-factor-graphs-via-benders-decomposition-2410.19131</loc><lastmod>2024-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-a-posteriori-inference-for-factor-graphs-via-benders-decomposition-2410.19131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-a-posteriori-inference-for-factor-graphs-via-benders-decomposition-2410.19131"/></url>
<url><loc>https://scifaro.com/en/abs/noise-aware-differentially-private-variational-inference-2410.19371</loc><lastmod>2026-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-aware-differentially-private-variational-inference-2410.19371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-aware-differentially-private-variational-inference-2410.19371"/></url>
<url><loc>https://scifaro.com/en/abs/learned-reference-based-diffusion-sampling-for-multi-modal-distributions-2410.19449</loc><lastmod>2025-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learned-reference-based-diffusion-sampling-for-multi-modal-distributions-2410.19449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learned-reference-based-diffusion-sampling-for-multi-modal-distributions-2410.19449"/></url>
<url><loc>https://scifaro.com/en/abs/considerations-for-distribution-shift-robustness-of-diagnostic-models-in-healthcare-2410.19575</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/considerations-for-distribution-shift-robustness-of-diagnostic-models-in-healthcare-2410.19575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/considerations-for-distribution-shift-robustness-of-diagnostic-models-in-healthcare-2410.19575"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-benefits-of-active-data-collection-in-operator-learning-2410.19725</loc><lastmod>2025-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-benefits-of-active-data-collection-in-operator-learning-2410.19725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-benefits-of-active-data-collection-in-operator-learning-2410.19725"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-test-for-auto-feature-engineering-by-selective-inference-2410.19768</loc><lastmod>2024-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-test-for-auto-feature-engineering-by-selective-inference-2410.19768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-test-for-auto-feature-engineering-by-selective-inference-2410.19768"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-from-bayesian-neural-network-posteriors-with-symmetric-minibatch-splitting-langevin-dynamics-2410.19780</loc><lastmod>2025-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-from-bayesian-neural-network-posteriors-with-symmetric-minibatch-splitting-langevin-dynamics-2410.19780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-from-bayesian-neural-network-posteriors-with-symmetric-minibatch-splitting-langevin-dynamics-2410.19780"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-inference-in-classification-of-high-dimensional-gaussian-mixture-2410.19950</loc><lastmod>2024-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-inference-in-classification-of-high-dimensional-gaussian-mixture-2410.19950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-inference-in-classification-of-high-dimensional-gaussian-mixture-2410.19950"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-streaming-heavy-tailed-statistical-estimation-with-clipped-sgd-2410.20135</loc><lastmod>2024-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-streaming-heavy-tailed-statistical-estimation-with-clipped-sgd-2410.20135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-streaming-heavy-tailed-statistical-estimation-with-clipped-sgd-2410.20135"/></url>
<url><loc>https://scifaro.com/en/abs/certifiably-robust-model-evaluation-in-federated-learning-under-meta-distributional-shifts-2410.20250</loc><lastmod>2025-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certifiably-robust-model-evaluation-in-federated-learning-under-meta-distributional-shifts-2410.20250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certifiably-robust-model-evaluation-in-federated-learning-under-meta-distributional-shifts-2410.20250"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-gaussian-process-limit-of-bayesian-additive-regression-trees-2410.20289</loc><lastmod>2025-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-gaussian-process-limit-of-bayesian-additive-regression-trees-2410.20289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-gaussian-process-limit-of-bayesian-additive-regression-trees-2410.20289"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-bayesian-matrix-completion-via-geodesic-hamiltonian-monte-carlo-on-stiefel-manifolds-2410.20318</loc><lastmod>2024-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-bayesian-matrix-completion-via-geodesic-hamiltonian-monte-carlo-on-stiefel-manifolds-2410.20318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-bayesian-matrix-completion-via-geodesic-hamiltonian-monte-carlo-on-stiefel-manifolds-2410.20318"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-approximation-of-fisher-rao-gradient-flows-2410.20622</loc><lastmod>2024-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-approximation-of-fisher-rao-gradient-flows-2410.20622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-approximation-of-fisher-rao-gradient-flows-2410.20622"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-pure-exploration-in-logistic-bandits-2410.20640</loc><lastmod>2025-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-pure-exploration-in-logistic-bandits-2410.20640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-pure-exploration-in-logistic-bandits-2410.20640"/></url>
<url><loc>https://scifaro.com/en/abs/injectivity-capacity-of-relu-gates-2410.20646</loc><lastmod>2024-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/injectivity-capacity-of-relu-gates-2410.20646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/injectivity-capacity-of-relu-gates-2410.20646"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-analysis-of-deep-federated-learning-for-intrinsically-low-dimensional-data-2410.20659</loc><lastmod>2025-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-analysis-of-deep-federated-learning-for-intrinsically-low-dimensional-data-2410.20659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-analysis-of-deep-federated-learning-for-intrinsically-low-dimensional-data-2410.20659"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-approximations-via-gaussian-approximate-inference-2410.20754</loc><lastmod>2024-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-approximations-via-gaussian-approximate-inference-2410.20754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-approximations-via-gaussian-approximate-inference-2410.20754"/></url>
<url><loc>https://scifaro.com/en/abs/robust-estimation-for-kernel-exponential-families-with-smoothed-total-variation-distances-2410.20760</loc><lastmod>2024-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-estimation-for-kernel-exponential-families-with-smoothed-total-variation-distances-2410.20760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-estimation-for-kernel-exponential-families-with-smoothed-total-variation-distances-2410.20760"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-based-data-augmentation-for-generative-models-and-its-theoretical-extension-2410.20780</loc><lastmod>2024-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-based-data-augmentation-for-generative-models-and-its-theoretical-extension-2410.20780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-based-data-augmentation-for-generative-models-and-its-theoretical-extension-2410.20780"/></url>
<url><loc>https://scifaro.com/en/abs/a-stein-gradient-descent-approach-for-doubly-intractable-distributions-2410.21021</loc><lastmod>2025-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-stein-gradient-descent-approach-for-doubly-intractable-distributions-2410.21021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-stein-gradient-descent-approach-for-doubly-intractable-distributions-2410.21021"/></url>
<url><loc>https://scifaro.com/en/abs/banditcat-and-autoirt-machine-learning-approaches-to-computerized-adaptive-testing-and-item-calibration-2410.21033</loc><lastmod>2024-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/banditcat-and-autoirt-machine-learning-approaches-to-computerized-adaptive-testing-and-item-calibration-2410.21033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/banditcat-and-autoirt-machine-learning-approaches-to-computerized-adaptive-testing-and-item-calibration-2410.21033"/></url>
<url><loc>https://scifaro.com/en/abs/foundations-of-safe-online-reinforcement-learning-in-the-linear-quadratic-regulator-generalized-baselines-2410.21081</loc><lastmod>2025-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/foundations-of-safe-online-reinforcement-learning-in-the-linear-quadratic-regulator-generalized-baselines-2410.21081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/foundations-of-safe-online-reinforcement-learning-in-the-linear-quadratic-regulator-generalized-baselines-2410.21081"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-gaussian-process-regression-with-soft-kernel-interpolation-2410.21419</loc><lastmod>2025-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-gaussian-process-regression-with-soft-kernel-interpolation-2410.21419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-gaussian-process-regression-with-soft-kernel-interpolation-2410.21419"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-methods-for-the-noniterative-conditional-expectation-g-formula-for-causal-inference-from-complex-observational-data-2410.21531</loc><lastmod>2024-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-methods-for-the-noniterative-conditional-expectation-g-formula-for-causal-inference-from-complex-observational-data-2410.21531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-methods-for-the-noniterative-conditional-expectation-g-formula-for-causal-inference-from-complex-observational-data-2410.21531"/></url>
<url><loc>https://scifaro.com/en/abs/refined-risk-bounds-for-unbounded-losses-via-transductive-priors-2410.21621</loc><lastmod>2025-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/refined-risk-bounds-for-unbounded-losses-via-transductive-priors-2410.21621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/refined-risk-bounds-for-unbounded-losses-via-transductive-priors-2410.21621"/></url>
<url><loc>https://scifaro.com/en/abs/the-effects-of-multi-task-learning-on-relu-neural-network-functions-2410.21696</loc><lastmod>2025-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-effects-of-multi-task-learning-on-relu-neural-network-functions-2410.21696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-effects-of-multi-task-learning-on-relu-neural-network-functions-2410.21696"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-optimality-of-deep-neural-networks-on-dependent-data-via-pac-bayes-bounds-2410.21702</loc><lastmod>2025-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-optimality-of-deep-neural-networks-on-dependent-data-via-pac-bayes-bounds-2410.21702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-optimality-of-deep-neural-networks-on-dependent-data-via-pac-bayes-bounds-2410.21702"/></url>
<url><loc>https://scifaro.com/en/abs/do-vendi-scores-converge-with-finite-samples-truncated-vendi-score-for-finite-sample-convergence-guarantees-2410.21719</loc><lastmod>2025-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-vendi-scores-converge-with-finite-samples-truncated-vendi-score-for-finite-sample-convergence-guarantees-2410.21719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-vendi-scores-converge-with-finite-samples-truncated-vendi-score-for-finite-sample-convergence-guarantees-2410.21719"/></url>
<url><loc>https://scifaro.com/en/abs/exponentially-consistent-statistical-classification-of-continuous-sequences-with-distribution-uncertainty-2410.21799</loc><lastmod>2024-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponentially-consistent-statistical-classification-of-continuous-sequences-with-distribution-uncertainty-2410.21799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponentially-consistent-statistical-classification-of-continuous-sequences-with-distribution-uncertainty-2410.21799"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-mixtures-of-unigram-models-for-short-text-clustering-the-role-of-beta-liouville-priors-2410.21862</loc><lastmod>2025-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-mixtures-of-unigram-models-for-short-text-clustering-the-role-of-beta-liouville-priors-2410.21862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-mixtures-of-unigram-models-for-short-text-clustering-the-role-of-beta-liouville-priors-2410.21862"/></url>
<url><loc>https://scifaro.com/en/abs/identifiability-analysis-of-linear-ode-systems-with-hidden-confounders-2410.21917</loc><lastmod>2024-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifiability-analysis-of-linear-ode-systems-with-hidden-confounders-2410.21917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifiability-analysis-of-linear-ode-systems-with-hidden-confounders-2410.21917"/></url>
<url><loc>https://scifaro.com/en/abs/individualised-recovery-trajectories-of-patients-with-impeded-mobility-using-distance-between-probability-distributions-of-learnt-graphs-2410.21983</loc><lastmod>2024-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/individualised-recovery-trajectories-of-patients-with-impeded-mobility-using-distance-between-probability-distributions-of-learnt-graphs-2410.21983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/individualised-recovery-trajectories-of-patients-with-impeded-mobility-using-distance-between-probability-distributions-of-learnt-graphs-2410.21983"/></url>
<url><loc>https://scifaro.com/en/abs/node-regression-on-latent-position-random-graphs-via-local-averaging-2410.21987</loc><lastmod>2024-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/node-regression-on-latent-position-random-graphs-via-local-averaging-2410.21987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/node-regression-on-latent-position-random-graphs-via-local-averaging-2410.21987"/></url>
<url><loc>https://scifaro.com/en/abs/hamiltonian-monte-carlo-on-relu-neural-networks-is-inefficient-2410.22065</loc><lastmod>2024-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hamiltonian-monte-carlo-on-relu-neural-networks-is-inefficient-2410.22065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hamiltonian-monte-carlo-on-relu-neural-networks-is-inefficient-2410.22065"/></url>
<url><loc>https://scifaro.com/en/abs/deep-q-exponential-processes-2410.22119</loc><lastmod>2024-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-q-exponential-processes-2410.22119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-q-exponential-processes-2410.22119"/></url>
<url><loc>https://scifaro.com/en/abs/batch-match-and-patch-low-rank-approximations-for-score-based-variational-inference-2410.22292</loc><lastmod>2025-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-match-and-patch-low-rank-approximations-for-score-based-variational-inference-2410.22292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-match-and-patch-low-rank-approximations-for-score-based-variational-inference-2410.22292"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-dynamic-assortment-selection-2410.22488</loc><lastmod>2024-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-dynamic-assortment-selection-2410.22488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-dynamic-assortment-selection-2410.22488"/></url>
<url><loc>https://scifaro.com/en/abs/feature-responsiveness-scores-model-agnostic-explanations-for-recourse-2410.22598</loc><lastmod>2025-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-responsiveness-scores-model-agnostic-explanations-for-recourse-2410.22598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-responsiveness-scores-model-agnostic-explanations-for-recourse-2410.22598"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-drift-diffusion-and-causal-structure-from-temporal-snapshots-2410.22729</loc><lastmod>2026-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-drift-diffusion-and-causal-structure-from-temporal-snapshots-2410.22729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-drift-diffusion-and-causal-structure-from-temporal-snapshots-2410.22729"/></url>
<url><loc>https://scifaro.com/en/abs/an-overview-of-causal-inference-using-kernel-embeddings-2410.22754</loc><lastmod>2024-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-overview-of-causal-inference-using-kernel-embeddings-2410.22754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-overview-of-causal-inference-using-kernel-embeddings-2410.22754"/></url>
<url><loc>https://scifaro.com/en/abs/hyperparameter-optimization-in-machine-learning-2410.22854</loc><lastmod>2025-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperparameter-optimization-in-machine-learning-2410.22854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperparameter-optimization-in-machine-learning-2410.22854"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-via-conditional-f-information-2410.22887</loc><lastmod>2024-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-via-conditional-f-information-2410.22887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-via-conditional-f-information-2410.22887"/></url>
<url><loc>https://scifaro.com/en/abs/graph-integration-for-diffusion-based-manifold-alignment-2410.22978</loc><lastmod>2024-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-integration-for-diffusion-based-manifold-alignment-2410.22978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-integration-for-diffusion-based-manifold-alignment-2410.22978"/></url>
<url><loc>https://scifaro.com/en/abs/provably-optimal-memory-capacity-for-modern-hopfield-models-transformer-compatible-dense-associative-memories-as-spherical-codes-2410.23126</loc><lastmod>2024-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-optimal-memory-capacity-for-modern-hopfield-models-transformer-compatible-dense-associative-memories-as-spherical-codes-2410.23126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-optimal-memory-capacity-for-modern-hopfield-models-transformer-compatible-dense-associative-memories-as-spherical-codes-2410.23126"/></url>
<url><loc>https://scifaro.com/en/abs/functional-gradient-flows-for-constrained-sampling-2410.23170</loc><lastmod>2024-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-gradient-flows-for-constrained-sampling-2410.23170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-gradient-flows-for-constrained-sampling-2410.23170"/></url>
<url><loc>https://scifaro.com/en/abs/improved-convergence-rate-of-knn-graph-laplacians-differentiable-self-tuned-affinity-2410.23212</loc><lastmod>2026-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-convergence-rate-of-knn-graph-laplacians-differentiable-self-tuned-affinity-2410.23212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-convergence-rate-of-knn-graph-laplacians-differentiable-self-tuned-affinity-2410.23212"/></url>
<url><loc>https://scifaro.com/en/abs/very-fast-bayesian-additive-regression-trees-on-gpu-2410.23244</loc><lastmod>2025-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/very-fast-bayesian-additive-regression-trees-on-gpu-2410.23244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/very-fast-bayesian-additive-regression-trees-on-gpu-2410.23244"/></url>
<url><loc>https://scifaro.com/en/abs/all-or-none-identifiable-linear-properties-of-next-token-predictors-in-language-modeling-2410.23501</loc><lastmod>2025-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/all-or-none-identifiable-linear-properties-of-next-token-predictors-in-language-modeling-2410.23501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/all-or-none-identifiable-linear-properties-of-next-token-predictors-in-language-modeling-2410.23501"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-interpretable-factors-with-supervised-independent-subspace-principal-component-analysis-2410.23595</loc><lastmod>2024-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-interpretable-factors-with-supervised-independent-subspace-principal-component-analysis-2410.23595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-interpretable-factors-with-supervised-independent-subspace-principal-component-analysis-2410.23595"/></url>
<url><loc>https://scifaro.com/en/abs/linearized-wasserstein-barycenters-synthesis-analysis-representational-capacity-and-applications-2410.23602</loc><lastmod>2025-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linearized-wasserstein-barycenters-synthesis-analysis-representational-capacity-and-applications-2410.23602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linearized-wasserstein-barycenters-synthesis-analysis-representational-capacity-and-applications-2410.23602"/></url>
<url><loc>https://scifaro.com/en/abs/global-convergence-in-training-large-scale-transformers-2410.23610</loc><lastmod>2024-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-convergence-in-training-large-scale-transformers-2410.23610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-convergence-in-training-large-scale-transformers-2410.23610"/></url>
<url><loc>https://scifaro.com/en/abs/eigenvi-score-based-variational-inference-with-orthogonal-function-expansions-2410.24054</loc><lastmod>2024-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eigenvi-score-based-variational-inference-with-orthogonal-function-expansions-2410.24054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eigenvi-score-based-variational-inference-with-orthogonal-function-expansions-2410.24054"/></url>
<url><loc>https://scifaro.com/en/abs/demystifying-linear-mdps-and-novel-dynamics-aggregation-framework-2410.24089</loc><lastmod>2024-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demystifying-linear-mdps-and-novel-dynamics-aggregation-framework-2410.24089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demystifying-linear-mdps-and-novel-dynamics-aggregation-framework-2410.24089"/></url>
<url><loc>https://scifaro.com/en/abs/projected-random-forests-and-conformal-prediction-of-circular-data-2410.24145</loc><lastmod>2024-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projected-random-forests-and-conformal-prediction-of-circular-data-2410.24145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projected-random-forests-and-conformal-prediction-of-circular-data-2410.24145"/></url>
<url><loc>https://scifaro.com/en/abs/prospective-learning-learning-for-a-dynamic-future-2411.00109</loc><lastmod>2025-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prospective-learning-learning-for-a-dynamic-future-2411.00109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prospective-learning-learning-for-a-dynamic-future-2411.00109"/></url>
<url><loc>https://scifaro.com/en/abs/a-geometric-framework-for-understanding-memorization-in-generative-models-2411.00113</loc><lastmod>2025-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-geometric-framework-for-understanding-memorization-in-generative-models-2411.00113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-geometric-framework-for-understanding-memorization-in-generative-models-2411.00113"/></url>
<url><loc>https://scifaro.com/en/abs/residual-deep-gaussian-processes-on-manifolds-2411.00161</loc><lastmod>2025-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/residual-deep-gaussian-processes-on-manifolds-2411.00161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/residual-deep-gaussian-processes-on-manifolds-2411.00161"/></url>
<url><loc>https://scifaro.com/en/abs/learning-mixtures-of-unknown-causal-interventions-2411.00213</loc><lastmod>2024-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-mixtures-of-unknown-causal-interventions-2411.00213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-mixtures-of-unknown-causal-interventions-2411.00213"/></url>
<url><loc>https://scifaro.com/en/abs/inclusive-kl-minimization-a-wasserstein-fisher-rao-gradient-flow-perspective-2411.00214</loc><lastmod>2024-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inclusive-kl-minimization-a-wasserstein-fisher-rao-gradient-flow-perspective-2411.00214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inclusive-kl-minimization-a-wasserstein-fisher-rao-gradient-flow-perspective-2411.00214"/></url>
<url><loc>https://scifaro.com/en/abs/minimum-empirical-divergence-for-sub-gaussian-linear-bandits-2411.00229</loc><lastmod>2025-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimum-empirical-divergence-for-sub-gaussian-linear-bandits-2411.00229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimum-empirical-divergence-for-sub-gaussian-linear-bandits-2411.00229"/></url>
<url><loc>https://scifaro.com/en/abs/how-many-classifiers-do-we-need-2411.00328</loc><lastmod>2024-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-many-classifiers-do-we-need-2411.00328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-many-classifiers-do-we-need-2411.00328"/></url>
<url><loc>https://scifaro.com/en/abs/unified-theory-of-upper-confidence-bound-policies-for-bandit-problems-targeting-total-reward-maximal-reward-and-more-2411.00339</loc><lastmod>2024-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unified-theory-of-upper-confidence-bound-policies-for-bandit-problems-targeting-total-reward-maximal-reward-and-more-2411.00339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unified-theory-of-upper-confidence-bound-policies-for-bandit-problems-targeting-total-reward-maximal-reward-and-more-2411.00339"/></url>
<url><loc>https://scifaro.com/en/abs/haver-instance-dependent-error-bounds-for-maximum-mean-estimation-and-applications-to-q-learning-and-monte-carlo-tree-search-2411.00405</loc><lastmod>2025-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/haver-instance-dependent-error-bounds-for-maximum-mean-estimation-and-applications-to-q-learning-and-monte-carlo-tree-search-2411.00405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/haver-instance-dependent-error-bounds-for-maximum-mean-estimation-and-applications-to-q-learning-and-monte-carlo-tree-search-2411.00405"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-sampling-with-primal-dual-langevin-monte-carlo-2411.00568</loc><lastmod>2025-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-sampling-with-primal-dual-langevin-monte-carlo-2411.00568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-sampling-with-primal-dual-langevin-monte-carlo-2411.00568"/></url>
<url><loc>https://scifaro.com/en/abs/small-coresets-via-negative-dependence-dpps-linear-statistics-and-concentration-2411.00611</loc><lastmod>2024-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/small-coresets-via-negative-dependence-dpps-linear-statistics-and-concentration-2411.00611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/small-coresets-via-negative-dependence-dpps-linear-statistics-and-concentration-2411.00611"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-estimation-of-hawkes-processes-with-rkhss-2411.00621</loc><lastmod>2025-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-estimation-of-hawkes-processes-with-rkhss-2411.00621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-estimation-of-hawkes-processes-with-rkhss-2411.00621"/></url>
<url><loc>https://scifaro.com/en/abs/fast-spectrum-estimation-of-some-kernel-matrices-2411.00657</loc><lastmod>2026-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-spectrum-estimation-of-some-kernel-matrices-2411.00657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-spectrum-estimation-of-some-kernel-matrices-2411.00657"/></url>
<url><loc>https://scifaro.com/en/abs/magnitude-pruning-of-large-pretrained-transformer-models-with-a-mixture-gaussian-prior-2411.00969</loc><lastmod>2024-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/magnitude-pruning-of-large-pretrained-transformer-models-with-a-mixture-gaussian-prior-2411.00969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/magnitude-pruning-of-large-pretrained-transformer-models-with-a-mixture-gaussian-prior-2411.00969"/></url>
<url><loc>https://scifaro.com/en/abs/automated-assessment-of-residual-plots-with-computer-vision-models-2411.01001</loc><lastmod>2024-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-assessment-of-residual-plots-with-computer-vision-models-2411.01001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-assessment-of-residual-plots-with-computer-vision-models-2411.01001"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-with-relative-fairness-2411.01161</loc><lastmod>2024-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-with-relative-fairness-2411.01161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-with-relative-fairness-2411.01161"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-hidden-factorial-structure-2411.01375</loc><lastmod>2025-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-hidden-factorial-structure-2411.01375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-hidden-factorial-structure-2411.01375"/></url>
<url><loc>https://scifaro.com/en/abs/dsde-using-proportion-estimation-to-improve-model-selection-for-out-of-distribution-detection-2411.01487</loc><lastmod>2024-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dsde-using-proportion-estimation-to-improve-model-selection-for-out-of-distribution-detection-2411.01487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dsde-using-proportion-estimation-to-improve-model-selection-for-out-of-distribution-detection-2411.01487"/></url>
<url><loc>https://scifaro.com/en/abs/strategic-conformal-prediction-2411.01596</loc><lastmod>2024-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strategic-conformal-prediction-2411.01596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strategic-conformal-prediction-2411.01596"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-explainability-and-analysis-of-variance-2411.01625</loc><lastmod>2025-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-explainability-and-analysis-of-variance-2411.01625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-explainability-and-analysis-of-variance-2411.01625"/></url>
<url><loc>https://scifaro.com/en/abs/denoising-diffusions-with-optimal-transport-localization-curvature-and-multi-scale-complexity-2411.01629</loc><lastmod>2026-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/denoising-diffusions-with-optimal-transport-localization-curvature-and-multi-scale-complexity-2411.01629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/denoising-diffusions-with-optimal-transport-localization-curvature-and-multi-scale-complexity-2411.01629"/></url>
<url><loc>https://scifaro.com/en/abs/stein-variational-newton-neural-network-ensembles-2411.01887</loc><lastmod>2024-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stein-variational-newton-neural-network-ensembles-2411.01887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stein-variational-newton-neural-network-ensembles-2411.01887"/></url>
<url><loc>https://scifaro.com/en/abs/learning-controlled-stochastic-differential-equations-2411.01982</loc><lastmod>2024-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-controlled-stochastic-differential-equations-2411.01982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-controlled-stochastic-differential-equations-2411.01982"/></url>
<url><loc>https://scifaro.com/en/abs/amortized-bayesian-experimental-design-for-decision-making-2411.02064</loc><lastmod>2025-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amortized-bayesian-experimental-design-for-decision-making-2411.02064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amortized-bayesian-experimental-design-for-decision-making-2411.02064"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-multi-scale-representations-to-detect-effect-heterogeneity-using-earth-observation-and-computer-vision-applications-to-two-anti-poverty-rcts-2411.02134</loc><lastmod>2025-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-multi-scale-representations-to-detect-effect-heterogeneity-using-earth-observation-and-computer-vision-applications-to-two-anti-poverty-rcts-2411.02134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-multi-scale-representations-to-detect-effect-heterogeneity-using-earth-observation-and-computer-vision-applications-to-two-anti-poverty-rcts-2411.02134"/></url>
<url><loc>https://scifaro.com/en/abs/generalizable-and-robust-spectral-method-for-multi-view-representation-learning-2411.02138</loc><lastmod>2025-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizable-and-robust-spectral-method-for-multi-view-representation-learning-2411.02138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizable-and-robust-spectral-method-for-multi-view-representation-learning-2411.02138"/></url>
<url><loc>https://scifaro.com/en/abs/double-descent-meets-out-of-distribution-detection-theoretical-insights-and-empirical-analysis-on-the-role-of-model-complexity-2411.02184</loc><lastmod>2025-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/double-descent-meets-out-of-distribution-detection-theoretical-insights-and-empirical-analysis-on-the-role-of-model-complexity-2411.02184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/double-descent-meets-out-of-distribution-detection-theoretical-insights-and-empirical-analysis-on-the-role-of-model-complexity-2411.02184"/></url>
<url><loc>https://scifaro.com/en/abs/recursive-learning-of-asymptotic-variational-objectives-2411.02217</loc><lastmod>2024-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recursive-learning-of-asymptotic-variational-objectives-2411.02217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recursive-learning-of-asymptotic-variational-objectives-2411.02217"/></url>
<url><loc>https://scifaro.com/en/abs/targeted-learning-for-variable-importance-2411.02221</loc><lastmod>2025-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/targeted-learning-for-variable-importance-2411.02221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/targeted-learning-for-variable-importance-2411.02221"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-max-affine-regression-2411.02225</loc><lastmod>2026-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-max-affine-regression-2411.02225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-max-affine-regression-2411.02225"/></url>
<url><loc>https://scifaro.com/en/abs/towards-safe-bayesian-optimization-with-wiener-kernel-regression-2411.02253</loc><lastmod>2025-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-safe-bayesian-optimization-with-wiener-kernel-regression-2411.02253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-safe-bayesian-optimization-with-wiener-kernel-regression-2411.02253"/></url>
<url><loc>https://scifaro.com/en/abs/linear-causal-bandits-unknown-graph-and-soft-interventions-2411.02383</loc><lastmod>2024-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-causal-bandits-unknown-graph-and-soft-interventions-2411.02383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-causal-bandits-unknown-graph-and-soft-interventions-2411.02383"/></url>
<url><loc>https://scifaro.com/en/abs/a-directional-rockafellar-uryasev-regression-2411.02557</loc><lastmod>2024-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-directional-rockafellar-uryasev-regression-2411.02557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-directional-rockafellar-uryasev-regression-2411.02557"/></url>
<url><loc>https://scifaro.com/en/abs/classifier-chain-networks-for-multi-label-classification-2411.02638</loc><lastmod>2024-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifier-chain-networks-for-multi-label-classification-2411.02638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifier-chain-networks-for-multi-label-classification-2411.02638"/></url>
<url><loc>https://scifaro.com/en/abs/point-processes-with-event-time-uncertainty-2411.02694</loc><lastmod>2026-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/point-processes-with-event-time-uncertainty-2411.02694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/point-processes-with-event-time-uncertainty-2411.02694"/></url>
<url><loc>https://scifaro.com/en/abs/elliptical-wishart-distributions-information-geometry-maximum-likelihood-estimator-performance-analysis-and-statistical-learning-2411.02726</loc><lastmod>2024-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elliptical-wishart-distributions-information-geometry-maximum-likelihood-estimator-performance-analysis-and-statistical-learning-2411.02726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elliptical-wishart-distributions-information-geometry-maximum-likelihood-estimator-performance-analysis-and-statistical-learning-2411.02726"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-and-risk-bounds-for-recurrent-neural-networks-2411.02784</loc><lastmod>2024-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-and-risk-bounds-for-recurrent-neural-networks-2411.02784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-and-risk-bounds-for-recurrent-neural-networks-2411.02784"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-finds-over-parameterized-neural-networks-with-sharp-generalization-for-nonparametric-regression-2411.02904</loc><lastmod>2025-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-finds-over-parameterized-neural-networks-with-sharp-generalization-for-nonparametric-regression-2411.02904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-finds-over-parameterized-neural-networks-with-sharp-generalization-for-nonparametric-regression-2411.02904"/></url>
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<url><loc>https://scifaro.com/en/abs/online-data-collection-for-efficient-semiparametric-inference-2411.03195</loc><lastmod>2024-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-data-collection-for-efficient-semiparametric-inference-2411.03195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-data-collection-for-efficient-semiparametric-inference-2411.03195"/></url>
<url><loc>https://scifaro.com/en/abs/solving-stochastic-partial-differential-equations-using-neural-networks-in-the-wiener-chaos-expansion-2411.03384</loc><lastmod>2026-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-stochastic-partial-differential-equations-using-neural-networks-in-the-wiener-chaos-expansion-2411.03384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-stochastic-partial-differential-equations-using-neural-networks-in-the-wiener-chaos-expansion-2411.03384"/></url>
<url><loc>https://scifaro.com/en/abs/designing-a-linearized-potential-function-in-neural-network-optimization-using-csisz-a-r-type-of-tsallis-entropy-2411.03611</loc><lastmod>2024-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/designing-a-linearized-potential-function-in-neural-network-optimization-using-csisz-a-r-type-of-tsallis-entropy-2411.03611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/designing-a-linearized-potential-function-in-neural-network-optimization-using-csisz-a-r-type-of-tsallis-entropy-2411.03611"/></url>
<url><loc>https://scifaro.com/en/abs/a-subsampling-based-neural-network-for-spatial-data-2411.03620</loc><lastmod>2024-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-subsampling-based-neural-network-for-spatial-data-2411.03620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-subsampling-based-neural-network-for-spatial-data-2411.03620"/></url>
<url><loc>https://scifaro.com/en/abs/improved-regret-of-linear-ensemble-sampling-2411.03932</loc><lastmod>2025-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-regret-of-linear-ensemble-sampling-2411.03932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-regret-of-linear-ensemble-sampling-2411.03932"/></url>
<url><loc>https://scifaro.com/en/abs/partial-structure-discovery-is-sufficient-for-no-regret-learning-in-causal-bandits-2411.04054</loc><lastmod>2024-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partial-structure-discovery-is-sufficient-for-no-regret-learning-in-causal-bandits-2411.04054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partial-structure-discovery-is-sufficient-for-no-regret-learning-in-causal-bandits-2411.04054"/></url>
<url><loc>https://scifaro.com/en/abs/debiasing-synthetic-data-generated-by-deep-generative-models-2411.04216</loc><lastmod>2025-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/debiasing-synthetic-data-generated-by-deep-generative-models-2411.04216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/debiasing-synthetic-data-generated-by-deep-generative-models-2411.04216"/></url>
<url><loc>https://scifaro.com/en/abs/ion-c-integration-of-overlapping-networks-via-constraints-2411.04243</loc><lastmod>2024-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ion-c-integration-of-overlapping-networks-via-constraints-2411.04243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ion-c-integration-of-overlapping-networks-via-constraints-2411.04243"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-networks-and-non-commuting-operators-2411.04265</loc><lastmod>2024-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-networks-and-non-commuting-operators-2411.04265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-networks-and-non-commuting-operators-2411.04265"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-computational-trade-offs-for-recursive-adaptive-partitioning-estimators-2411.04394</loc><lastmod>2025-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-computational-trade-offs-for-recursive-adaptive-partitioning-estimators-2411.04394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-computational-trade-offs-for-recursive-adaptive-partitioning-estimators-2411.04394"/></url>
<url><loc>https://scifaro.com/en/abs/conformalized-credal-regions-for-classification-with-ambiguous-ground-truth-2411.04852</loc><lastmod>2025-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformalized-credal-regions-for-classification-with-ambiguous-ground-truth-2411.04852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformalized-credal-regions-for-classification-with-ambiguous-ground-truth-2411.04852"/></url>
<url><loc>https://scifaro.com/en/abs/pareto-set-identification-with-posterior-sampling-2411.04939</loc><lastmod>2024-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pareto-set-identification-with-posterior-sampling-2411.04939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pareto-set-identification-with-posterior-sampling-2411.04939"/></url>
<url><loc>https://scifaro.com/en/abs/the-sampling-complexity-of-learning-invertible-residual-neural-networks-2411.05453</loc><lastmod>2024-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-sampling-complexity-of-learning-invertible-residual-neural-networks-2411.05453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-sampling-complexity-of-learning-invertible-residual-neural-networks-2411.05453"/></url>
<url><loc>https://scifaro.com/en/abs/network-em-algorithm-for-gaussian-mixture-model-in-decentralized-federated-learning-2411.05591</loc><lastmod>2024-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-em-algorithm-for-gaussian-mixture-model-in-decentralized-federated-learning-2411.05591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-em-algorithm-for-gaussian-mixture-model-in-decentralized-federated-learning-2411.05591"/></url>
<url><loc>https://scifaro.com/en/abs/cross-validating-causal-discovery-via-leave-one-variable-out-2411.05625</loc><lastmod>2024-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-validating-causal-discovery-via-leave-one-variable-out-2411.05625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-validating-causal-discovery-via-leave-one-variable-out-2411.05625"/></url>
<url><loc>https://scifaro.com/en/abs/multi-armed-bandits-with-missing-outcome-2411.05661</loc><lastmod>2024-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-armed-bandits-with-missing-outcome-2411.05661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-armed-bandits-with-missing-outcome-2411.05661"/></url>
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<url><loc>https://scifaro.com/en/abs/compactly-supported-nonstationary-kernels-for-computing-exact-gaussian-processes-on-big-data-2411.05869</loc><lastmod>2026-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compactly-supported-nonstationary-kernels-for-computing-exact-gaussian-processes-on-big-data-2411.05869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compactly-supported-nonstationary-kernels-for-computing-exact-gaussian-processes-on-big-data-2411.05869"/></url>
<url><loc>https://scifaro.com/en/abs/deep-nonparametric-conditional-independence-tests-for-images-2411.06140</loc><lastmod>2024-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-nonparametric-conditional-independence-tests-for-images-2411.06140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-nonparametric-conditional-independence-tests-for-images-2411.06140"/></url>
<url><loc>https://scifaro.com/en/abs/amortized-bayesian-local-interpolation-network-fast-covariance-parameter-estimation-for-gaussian-processes-2411.06324</loc><lastmod>2024-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amortized-bayesian-local-interpolation-network-fast-covariance-parameter-estimation-for-gaussian-processes-2411.06324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amortized-bayesian-local-interpolation-network-fast-covariance-parameter-estimation-for-gaussian-processes-2411.06324"/></url>
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<url><loc>https://scifaro.com/en/abs/constructing-gaussian-processes-via-samplets-2411.07277</loc><lastmod>2024-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constructing-gaussian-processes-via-samplets-2411.07277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constructing-gaussian-processes-via-samplets-2411.07277"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-knowledge-distillation-using-partial-information-decomposition-2411.07483</loc><lastmod>2025-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-knowledge-distillation-using-partial-information-decomposition-2411.07483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-knowledge-distillation-using-partial-information-decomposition-2411.07483"/></url>
<url><loc>https://scifaro.com/en/abs/exogenous-randomness-empowering-random-forests-2411.07554</loc><lastmod>2024-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exogenous-randomness-empowering-random-forests-2411.07554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exogenous-randomness-empowering-random-forests-2411.07554"/></url>
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<url><loc>https://scifaro.com/en/abs/a-tale-of-two-cities-pessimism-and-opportunism-in-offline-dynamic-pricing-2411.08126</loc><lastmod>2026-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tale-of-two-cities-pessimism-and-opportunism-in-offline-dynamic-pricing-2411.08126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tale-of-two-cities-pessimism-and-opportunism-in-offline-dynamic-pricing-2411.08126"/></url>
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<url><loc>https://scifaro.com/en/abs/deep-generative-demand-learning-for-newsvendor-and-pricing-2411.08631</loc><lastmod>2024-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generative-demand-learning-for-newsvendor-and-pricing-2411.08631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generative-demand-learning-for-newsvendor-and-pricing-2411.08631"/></url>
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<url><loc>https://scifaro.com/en/abs/oblique-bayesian-additive-regression-trees-2411.08849</loc><lastmod>2024-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/oblique-bayesian-additive-regression-trees-2411.08849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/oblique-bayesian-additive-regression-trees-2411.08849"/></url>
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<url><loc>https://scifaro.com/en/abs/microfoundation-inference-for-strategic-prediction-2411.08998</loc><lastmod>2025-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/microfoundation-inference-for-strategic-prediction-2411.08998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/microfoundation-inference-for-strategic-prediction-2411.08998"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-optimal-two-sample-testing-under-local-differential-privacy-2411.09064</loc><lastmod>2025-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-optimal-two-sample-testing-under-local-differential-privacy-2411.09064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-optimal-two-sample-testing-under-local-differential-privacy-2411.09064"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-deep-additive-neural-networks-2411.09175</loc><lastmod>2024-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-deep-additive-neural-networks-2411.09175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-deep-additive-neural-networks-2411.09175"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-bayesian-generative-modeling-for-compressive-sensing-2411.09483</loc><lastmod>2024-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-bayesian-generative-modeling-for-compressive-sensing-2411.09483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-bayesian-generative-modeling-for-compressive-sensing-2411.09483"/></url>
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<url><loc>https://scifaro.com/en/abs/dense-relu-neural-networks-for-temporal-spatial-model-2411.09961</loc><lastmod>2025-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dense-relu-neural-networks-for-temporal-spatial-model-2411.09961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dense-relu-neural-networks-for-temporal-spatial-model-2411.09961"/></url>
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<url><loc>https://scifaro.com/en/abs/series-expansion-of-probability-of-correct-selection-for-improved-finite-budget-allocation-in-ranking-and-selection-2411.10695</loc><lastmod>2024-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/series-expansion-of-probability-of-correct-selection-for-improved-finite-budget-allocation-in-ranking-and-selection-2411.10695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/series-expansion-of-probability-of-correct-selection-for-improved-finite-budget-allocation-in-ranking-and-selection-2411.10695"/></url>
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<url><loc>https://scifaro.com/en/abs/debiasing-watermarks-for-large-language-models-via-maximal-coupling-2411.11203</loc><lastmod>2025-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/debiasing-watermarks-for-large-language-models-via-maximal-coupling-2411.11203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/debiasing-watermarks-for-large-language-models-via-maximal-coupling-2411.11203"/></url>
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<url><loc>https://scifaro.com/en/abs/robust-causal-analysis-of-linear-cyclic-systems-with-hidden-confounders-2411.11590</loc><lastmod>2024-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-causal-analysis-of-linear-cyclic-systems-with-hidden-confounders-2411.11590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-causal-analysis-of-linear-cyclic-systems-with-hidden-confounders-2411.11590"/></url>
<url><loc>https://scifaro.com/en/abs/learning-differentiable-surrogate-losses-for-structured-prediction-2411.11682</loc><lastmod>2024-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-differentiable-surrogate-losses-for-structured-prediction-2411.11682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-differentiable-surrogate-losses-for-structured-prediction-2411.11682"/></url>
<url><loc>https://scifaro.com/en/abs/debiased-regression-for-root-n-consistent-conditional-mean-estimation-2411.11748</loc><lastmod>2024-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/debiased-regression-for-root-n-consistent-conditional-mean-estimation-2411.11748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/debiased-regression-for-root-n-consistent-conditional-mean-estimation-2411.11748"/></url>
<url><loc>https://scifaro.com/en/abs/parallelly-tempered-generative-adversarial-nets-toward-stabilized-gradients-2411.11786</loc><lastmod>2025-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallelly-tempered-generative-adversarial-nets-toward-stabilized-gradients-2411.11786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallelly-tempered-generative-adversarial-nets-toward-stabilized-gradients-2411.11786"/></url>
<url><loc>https://scifaro.com/en/abs/pairwise-markov-chains-for-volatility-forecasting-2411.11838</loc><lastmod>2025-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pairwise-markov-chains-for-volatility-forecasting-2411.11838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pairwise-markov-chains-for-volatility-forecasting-2411.11838"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-efficiency-of-erm-in-feature-learning-2411.12029</loc><lastmod>2024-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-efficiency-of-erm-in-feature-learning-2411.12029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-efficiency-of-erm-in-feature-learning-2411.12029"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-guided-active-experiments-2411.12036</loc><lastmod>2024-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-guided-active-experiments-2411.12036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-guided-active-experiments-2411.12036"/></url>
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<url><loc>https://scifaro.com/en/abs/off-policy-estimation-with-adaptively-collected-data-the-power-of-online-learning-2411.12786</loc><lastmod>2024-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-estimation-with-adaptively-collected-data-the-power-of-online-learning-2411.12786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-estimation-with-adaptively-collected-data-the-power-of-online-learning-2411.12786"/></url>
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<url><loc>https://scifaro.com/en/abs/logarithmic-neyman-regret-for-adaptive-estimation-of-the-average-treatment-effect-2411.14341</loc><lastmod>2024-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logarithmic-neyman-regret-for-adaptive-estimation-of-the-average-treatment-effect-2411.14341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logarithmic-neyman-regret-for-adaptive-estimation-of-the-average-treatment-effect-2411.14341"/></url>
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<url><loc>https://scifaro.com/en/abs/dp-cda-an-algorithm-for-enhanced-privacy-preservation-in-dataset-synthesis-through-randomized-mixing-2411.16121</loc><lastmod>2026-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dp-cda-an-algorithm-for-enhanced-privacy-preservation-in-dataset-synthesis-through-randomized-mixing-2411.16121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dp-cda-an-algorithm-for-enhanced-privacy-preservation-in-dataset-synthesis-through-randomized-mixing-2411.16121"/></url>
<url><loc>https://scifaro.com/en/abs/effective-non-random-extreme-learning-machine-2411.16229</loc><lastmod>2025-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-non-random-extreme-learning-machine-2411.16229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-non-random-extreme-learning-machine-2411.16229"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-pooling-of-predictions-via-kernel-embeddings-2411.16246</loc><lastmod>2024-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-pooling-of-predictions-via-kernel-embeddings-2411.16246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-pooling-of-predictions-via-kernel-embeddings-2411.16246"/></url>
<url><loc>https://scifaro.com/en/abs/alpha-entropy-search-for-new-information-based-bayesian-optimization-2411.16586</loc><lastmod>2024-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alpha-entropy-search-for-new-information-based-bayesian-optimization-2411.16586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alpha-entropy-search-for-new-information-based-bayesian-optimization-2411.16586"/></url>
<url><loc>https://scifaro.com/en/abs/fast-training-of-large-kernel-models-with-delayed-projections-2411.16658</loc><lastmod>2024-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-training-of-large-kernel-models-with-delayed-projections-2411.16658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-training-of-large-kernel-models-with-delayed-projections-2411.16658"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-priors-for-boundary-value-problems-of-linear-partial-differential-equations-2411.16663</loc><lastmod>2025-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-priors-for-boundary-value-problems-of-linear-partial-differential-equations-2411.16663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-priors-for-boundary-value-problems-of-linear-partial-differential-equations-2411.16663"/></url>
<url><loc>https://scifaro.com/en/abs/catnet-controlling-the-false-discovery-rate-in-lstm-with-shap-feature-importance-and-gaussian-mirrors-2411.16666</loc><lastmod>2026-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/catnet-controlling-the-false-discovery-rate-in-lstm-with-shap-feature-importance-and-gaussian-mirrors-2411.16666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/catnet-controlling-the-false-discovery-rate-in-lstm-with-shap-feature-importance-and-gaussian-mirrors-2411.16666"/></url>
<url><loc>https://scifaro.com/en/abs/conformalised-conditional-normalising-flows-for-joint-prediction-regions-in-time-series-2411.17042</loc><lastmod>2024-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformalised-conditional-normalising-flows-for-joint-prediction-regions-in-time-series-2411.17042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformalised-conditional-normalising-flows-for-joint-prediction-regions-in-time-series-2411.17042"/></url>
<url><loc>https://scifaro.com/en/abs/fast-precise-thompson-sampling-for-bayesian-optimization-2411.17071</loc><lastmod>2024-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-precise-thompson-sampling-for-bayesian-optimization-2411.17071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-precise-thompson-sampling-for-bayesian-optimization-2411.17071"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-conformal-prediction-for-power-outage-data-2411.17099</loc><lastmod>2024-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-conformal-prediction-for-power-outage-data-2411.17099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-conformal-prediction-for-power-outage-data-2411.17099"/></url>
<url><loc>https://scifaro.com/en/abs/validation-free-sparse-learning-a-phase-transition-approach-to-feature-selection-2411.17180</loc><lastmod>2025-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/validation-free-sparse-learning-a-phase-transition-approach-to-feature-selection-2411.17180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/validation-free-sparse-learning-a-phase-transition-approach-to-feature-selection-2411.17180"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalized-unified-skew-normal-process-with-neural-bayes-inference-2411.17400</loc><lastmod>2024-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalized-unified-skew-normal-process-with-neural-bayes-inference-2411.17400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalized-unified-skew-normal-process-with-neural-bayes-inference-2411.17400"/></url>
<url><loc>https://scifaro.com/en/abs/on-statistical-rates-of-conditional-diffusion-transformers-approximation-estimation-and-minimax-optimality-2411.17522</loc><lastmod>2024-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-statistical-rates-of-conditional-diffusion-transformers-approximation-estimation-and-minimax-optimality-2411.17522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-statistical-rates-of-conditional-diffusion-transformers-approximation-estimation-and-minimax-optimality-2411.17522"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-erm-principle-in-meta-learning-2411.17898</loc><lastmod>2024-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-erm-principle-in-meta-learning-2411.17898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-erm-principle-in-meta-learning-2411.17898"/></url>
<url><loc>https://scifaro.com/en/abs/isometry-pursuit-2411.18502</loc><lastmod>2026-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/isometry-pursuit-2411.18502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/isometry-pursuit-2411.18502"/></url>
<url><loc>https://scifaro.com/en/abs/a-flexible-defense-against-the-winner-s-curse-2411.18569</loc><lastmod>2024-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-flexible-defense-against-the-winner-s-curse-2411.18569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-flexible-defense-against-the-winner-s-curse-2411.18569"/></url>
<url><loc>https://scifaro.com/en/abs/functional-relevance-based-on-the-continuous-shapley-value-2411.18575</loc><lastmod>2025-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-relevance-based-on-the-continuous-shapley-value-2411.18575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-relevance-based-on-the-continuous-shapley-value-2411.18575"/></url>
<url><loc>https://scifaro.com/en/abs/the-return-of-pseudosciences-in-artificial-intelligence-have-machine-learning-and-deep-learning-forgotten-lessons-from-statistics-and-history-2411.18656</loc><lastmod>2024-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-return-of-pseudosciences-in-artificial-intelligence-have-machine-learning-and-deep-learning-forgotten-lessons-from-statistics-and-history-2411.18656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-return-of-pseudosciences-in-artificial-intelligence-have-machine-learning-and-deep-learning-forgotten-lessons-from-statistics-and-history-2411.18656"/></url>
<url><loc>https://scifaro.com/en/abs/graph-max-shift-a-hill-climbing-method-for-graph-clustering-2411.18794</loc><lastmod>2026-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-max-shift-a-hill-climbing-method-for-graph-clustering-2411.18794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-max-shift-a-hill-climbing-method-for-graph-clustering-2411.18794"/></url>
<url><loc>https://scifaro.com/en/abs/intrinsic-gaussian-process-regression-modeling-for-manifold-valued-response-variable-2411.18989</loc><lastmod>2025-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrinsic-gaussian-process-regression-modeling-for-manifold-valued-response-variable-2411.18989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrinsic-gaussian-process-regression-modeling-for-manifold-valued-response-variable-2411.18989"/></url>
<url><loc>https://scifaro.com/en/abs/abroca-distributions-for-algorithmic-bias-assessment-considerations-around-interpretation-2411.19090</loc><lastmod>2024-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/abroca-distributions-for-algorithmic-bias-assessment-considerations-around-interpretation-2411.19090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/abroca-distributions-for-algorithmic-bias-assessment-considerations-around-interpretation-2411.19090"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-representations-of-high-dimensional-structured-treatments-2411.19245</loc><lastmod>2024-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-representations-of-high-dimensional-structured-treatments-2411.19245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-representations-of-high-dimensional-structured-treatments-2411.19245"/></url>
<url><loc>https://scifaro.com/en/abs/ld-ensf-synergizing-latent-dynamics-with-ensemble-score-filters-for-fast-data-assimilation-with-sparse-observations-2411.19305</loc><lastmod>2026-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ld-ensf-synergizing-latent-dynamics-with-ensemble-score-filters-for-fast-data-assimilation-with-sparse-observations-2411.19305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ld-ensf-synergizing-latent-dynamics-with-ensemble-score-filters-for-fast-data-assimilation-with-sparse-observations-2411.19305"/></url>
<url><loc>https://scifaro.com/en/abs/concept-driven-off-policy-evaluation-2411.19395</loc><lastmod>2024-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concept-driven-off-policy-evaluation-2411.19395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concept-driven-off-policy-evaluation-2411.19395"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-instrumental-regression-via-kernel-methods-is-minimax-optimal-2411.19653</loc><lastmod>2026-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-instrumental-regression-via-kernel-methods-is-minimax-optimal-2411.19653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-instrumental-regression-via-kernel-methods-is-minimax-optimal-2411.19653"/></url>
<url><loc>https://scifaro.com/en/abs/noncommutative-model-selection-for-data-clustering-and-dimension-reduction-using-relative-von-neumann-entropy-2411.19902</loc><lastmod>2024-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noncommutative-model-selection-for-data-clustering-and-dimension-reduction-using-relative-von-neumann-entropy-2411.19902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noncommutative-model-selection-for-data-clustering-and-dimension-reduction-using-relative-von-neumann-entropy-2411.19902"/></url>
<url><loc>https://scifaro.com/en/abs/another-look-at-statistical-inference-with-machine-learning-imputed-data-2411.19908</loc><lastmod>2026-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/another-look-at-statistical-inference-with-machine-learning-imputed-data-2411.19908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/another-look-at-statistical-inference-with-machine-learning-imputed-data-2411.19908"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinearity-and-uncertainty-informed-moment-matching-gaussian-mixture-splitting-2412.00343</loc><lastmod>2025-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinearity-and-uncertainty-informed-moment-matching-gaussian-mixture-splitting-2412.00343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinearity-and-uncertainty-informed-moment-matching-gaussian-mixture-splitting-2412.00343"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-particle-based-approximation-of-discrete-distributions-opad-2412.00545</loc><lastmod>2024-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-particle-based-approximation-of-discrete-distributions-opad-2412.00545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-particle-based-approximation-of-discrete-distributions-opad-2412.00545"/></url>
<url><loc>https://scifaro.com/en/abs/explicit-and-data-efficient-encoding-via-gradient-flow-2412.00864</loc><lastmod>2025-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explicit-and-data-efficient-encoding-via-gradient-flow-2412.00864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explicit-and-data-efficient-encoding-via-gradient-flow-2412.00864"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-estimation-error-bound-and-grouping-effect-of-transfer-elastic-net-2412.01010</loc><lastmod>2026-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-estimation-error-bound-and-grouping-effect-of-transfer-elastic-net-2412.01010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-estimation-error-bound-and-grouping-effect-of-transfer-elastic-net-2412.01010"/></url>
<url><loc>https://scifaro.com/en/abs/energy-based-modelling-for-discrete-and-mixed-data-via-heat-equations-on-structured-spaces-2412.01019</loc><lastmod>2024-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-based-modelling-for-discrete-and-mixed-data-via-heat-equations-on-structured-spaces-2412.01019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-based-modelling-for-discrete-and-mixed-data-via-heat-equations-on-structured-spaces-2412.01019"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-feature-learning-in-diffusion-models-2412.01021</loc><lastmod>2025-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-feature-learning-in-diffusion-models-2412.01021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-feature-learning-in-diffusion-models-2412.01021"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-conformal-inference-through-localized-quantile-regression-2412.01098</loc><lastmod>2025-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-conformal-inference-through-localized-quantile-regression-2412.01098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-conformal-inference-through-localized-quantile-regression-2412.01098"/></url>
<url><loc>https://scifaro.com/en/abs/reliable-and-scalable-variable-importance-estimation-via-warm-start-and-early-stopping-2412.01120</loc><lastmod>2025-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliable-and-scalable-variable-importance-estimation-via-warm-start-and-early-stopping-2412.01120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliable-and-scalable-variable-importance-estimation-via-warm-start-and-early-stopping-2412.01120"/></url>
<url><loc>https://scifaro.com/en/abs/berezinskii-kosterlitz-thouless-transition-in-a-context-sensitive-random-language-model-2412.01212</loc><lastmod>2026-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/berezinskii-kosterlitz-thouless-transition-in-a-context-sensitive-random-language-model-2412.01212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/berezinskii-kosterlitz-thouless-transition-in-a-context-sensitive-random-language-model-2412.01212"/></url>
<url><loc>https://scifaro.com/en/abs/refined-analysis-of-federated-averaging-and-federated-richardson-romberg-2412.01389</loc><lastmod>2025-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/refined-analysis-of-federated-averaging-and-federated-richardson-romberg-2412.01389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/refined-analysis-of-federated-averaging-and-federated-richardson-romberg-2412.01389"/></url>
<url><loc>https://scifaro.com/en/abs/mep-net-generating-solutions-to-scientific-problems-with-limited-knowledge-by-maximum-entropy-principle-2412.02090</loc><lastmod>2024-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mep-net-generating-solutions-to-scientific-problems-with-limited-knowledge-by-maximum-entropy-principle-2412.02090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mep-net-generating-solutions-to-scientific-problems-with-limited-knowledge-by-maximum-entropy-principle-2412.02090"/></url>
<url><loc>https://scifaro.com/en/abs/selective-reviews-of-bandit-problems-in-ai-via-a-statistical-view-2412.02251</loc><lastmod>2025-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selective-reviews-of-bandit-problems-in-ai-via-a-statistical-view-2412.02251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selective-reviews-of-bandit-problems-in-ai-via-a-statistical-view-2412.02251"/></url>
<url><loc>https://scifaro.com/en/abs/deep-matrix-factorization-with-adaptive-weights-for-multi-view-clustering-2412.02292</loc><lastmod>2024-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-matrix-factorization-with-adaptive-weights-for-multi-view-clustering-2412.02292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-matrix-factorization-with-adaptive-weights-for-multi-view-clustering-2412.02292"/></url>
<url><loc>https://scifaro.com/en/abs/the-broader-landscape-of-robustness-in-algorithmic-statistics-2412.02670</loc><lastmod>2025-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-broader-landscape-of-robustness-in-algorithmic-statistics-2412.02670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-broader-landscape-of-robustness-in-algorithmic-statistics-2412.02670"/></url>
<url><loc>https://scifaro.com/en/abs/universal-rates-of-empirical-risk-minimization-2412.02810</loc><lastmod>2025-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-rates-of-empirical-risk-minimization-2412.02810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-rates-of-empirical-risk-minimization-2412.02810"/></url>
<url><loc>https://scifaro.com/en/abs/an-information-theoretic-analysis-of-thompson-sampling-for-logistic-bandits-2412.02861</loc><lastmod>2025-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-information-theoretic-analysis-of-thompson-sampling-for-logistic-bandits-2412.02861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-information-theoretic-analysis-of-thompson-sampling-for-logistic-bandits-2412.02861"/></url>
<url><loc>https://scifaro.com/en/abs/preference-based-pure-exploration-2412.02988</loc><lastmod>2025-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preference-based-pure-exploration-2412.02988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preference-based-pure-exploration-2412.02988"/></url>
<url><loc>https://scifaro.com/en/abs/a-probabilistic-formulation-of-offset-noise-in-diffusion-models-2412.03134</loc><lastmod>2026-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probabilistic-formulation-of-offset-noise-in-diffusion-models-2412.03134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probabilistic-formulation-of-offset-noise-in-diffusion-models-2412.03134"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-filtering-estimation-and-classification-using-neural-jump-odes-2412.03271</loc><lastmod>2025-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-filtering-estimation-and-classification-using-neural-jump-odes-2412.03271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-filtering-estimation-and-classification-using-neural-jump-odes-2412.03271"/></url>
<url><loc>https://scifaro.com/en/abs/tight-pac-bayesian-risk-certificates-for-contrastive-learning-2412.03486</loc><lastmod>2026-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-pac-bayesian-risk-certificates-for-contrastive-learning-2412.03486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-pac-bayesian-risk-certificates-for-contrastive-learning-2412.03486"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-algorithm-hyperparameters-on-preprocessing-hyperparameters-and-associated-pitfalls-in-machine-learning-applications-2412.03491</loc><lastmod>2025-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-algorithm-hyperparameters-on-preprocessing-hyperparameters-and-associated-pitfalls-in-machine-learning-applications-2412.03491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-algorithm-hyperparameters-on-preprocessing-hyperparameters-and-associated-pitfalls-in-machine-learning-applications-2412.03491"/></url>
<url><loc>https://scifaro.com/en/abs/self-test-loss-functions-for-learning-weak-form-operators-and-gradient-flows-2412.03506</loc><lastmod>2025-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-test-loss-functions-for-learning-weak-form-operators-and-gradient-flows-2412.03506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-test-loss-functions-for-learning-weak-form-operators-and-gradient-flows-2412.03506"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotics-of-linear-regression-with-linearly-dependent-data-2412.03702</loc><lastmod>2024-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotics-of-linear-regression-with-linearly-dependent-data-2412.03702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotics-of-linear-regression-with-linearly-dependent-data-2412.03702"/></url>
<url><loc>https://scifaro.com/en/abs/learning-networks-from-wide-sense-stationary-stochastic-processes-2412.03768</loc><lastmod>2025-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-networks-from-wide-sense-stationary-stochastic-processes-2412.03768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-networks-from-wide-sense-stationary-stochastic-processes-2412.03768"/></url>
<url><loc>https://scifaro.com/en/abs/community-detection-with-heterogeneous-block-covariance-model-2412.03780</loc><lastmod>2024-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/community-detection-with-heterogeneous-block-covariance-model-2412.03780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/community-detection-with-heterogeneous-block-covariance-model-2412.03780"/></url>
<url><loc>https://scifaro.com/en/abs/how-well-behaved-is-finite-dimensional-diffusion-maps-2412.03992</loc><lastmod>2026-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-well-behaved-is-finite-dimensional-diffusion-maps-2412.03992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-well-behaved-is-finite-dimensional-diffusion-maps-2412.03992"/></url>
<url><loc>https://scifaro.com/en/abs/pathwise-optimization-for-bridge-type-estimators-and-its-applications-2412.04047</loc><lastmod>2024-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pathwise-optimization-for-bridge-type-estimators-and-its-applications-2412.04047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pathwise-optimization-for-bridge-type-estimators-and-its-applications-2412.04047"/></url>
<url><loc>https://scifaro.com/en/abs/the-polynomial-stein-discrepancy-for-assessing-moment-convergence-2412.05135</loc><lastmod>2026-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-polynomial-stein-discrepancy-for-assessing-moment-convergence-2412.05135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-polynomial-stein-discrepancy-for-assessing-moment-convergence-2412.05135"/></url>
<url><loc>https://scifaro.com/en/abs/confidence-diagram-of-nonparametric-ranking-for-uncertainty-assessment-in-large-language-models-evaluation-2412.05506</loc><lastmod>2025-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidence-diagram-of-nonparametric-ranking-for-uncertainty-assessment-in-large-language-models-evaluation-2412.05506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidence-diagram-of-nonparametric-ranking-for-uncertainty-assessment-in-large-language-models-evaluation-2412.05506"/></url>
<url><loc>https://scifaro.com/en/abs/training-free-bayesianization-for-low-rank-adapters-of-large-language-models-2412.05723</loc><lastmod>2025-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-free-bayesianization-for-low-rank-adapters-of-large-language-models-2412.05723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-free-bayesianization-for-low-rank-adapters-of-large-language-models-2412.05723"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-iteration-for-nonlinear-adaptive-lasso-2412.05726</loc><lastmod>2024-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-iteration-for-nonlinear-adaptive-lasso-2412.05726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-iteration-for-nonlinear-adaptive-lasso-2412.05726"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-black-box-models-to-assess-feature-importance-in-unconditional-distribution-2412.05759</loc><lastmod>2024-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-black-box-models-to-assess-feature-importance-in-unconditional-distribution-2412.05759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-black-box-models-to-assess-feature-importance-in-unconditional-distribution-2412.05759"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-a-discrete-time-linear-quadratic-control-problem-with-an-application-2412.05906</loc><lastmod>2025-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-a-discrete-time-linear-quadratic-control-problem-with-an-application-2412.05906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-a-discrete-time-linear-quadratic-control-problem-with-an-application-2412.05906"/></url>
<url><loc>https://scifaro.com/en/abs/can-generative-ai-solve-your-in-context-learning-problem-a-martingale-perspective-2412.06033</loc><lastmod>2024-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-generative-ai-solve-your-in-context-learning-problem-a-martingale-perspective-2412.06033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-generative-ai-solve-your-in-context-learning-problem-a-martingale-perspective-2412.06033"/></url>
<url><loc>https://scifaro.com/en/abs/is-the-neural-tangent-kernel-of-pinns-deep-learning-general-partial-differential-equations-always-convergent-2412.06158</loc><lastmod>2024-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-the-neural-tangent-kernel-of-pinns-deep-learning-general-partial-differential-equations-always-convergent-2412.06158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-the-neural-tangent-kernel-of-pinns-deep-learning-general-partial-differential-equations-always-convergent-2412.06158"/></url>
<url><loc>https://scifaro.com/en/abs/representational-transfer-learning-for-matrix-completion-2412.06233</loc><lastmod>2024-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representational-transfer-learning-for-matrix-completion-2412.06233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representational-transfer-learning-for-matrix-completion-2412.06233"/></url>
<url><loc>https://scifaro.com/en/abs/an-inferential-measure-of-dependence-between-two-systems-using-bayesian-model-comparison-2412.06478</loc><lastmod>2024-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-inferential-measure-of-dependence-between-two-systems-using-bayesian-model-comparison-2412.06478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-inferential-measure-of-dependence-between-two-systems-using-bayesian-model-comparison-2412.06478"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-least-squares-kernelized-tensor-factorization-2412.07041</loc><lastmod>2025-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-least-squares-kernelized-tensor-factorization-2412.07041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-least-squares-kernelized-tensor-factorization-2412.07041"/></url>
<url><loc>https://scifaro.com/en/abs/interactive-and-hybrid-imitation-learning-provably-beating-behavior-cloning-2412.07057</loc><lastmod>2026-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interactive-and-hybrid-imitation-learning-provably-beating-behavior-cloning-2412.07057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interactive-and-hybrid-imitation-learning-provably-beating-behavior-cloning-2412.07057"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-controlled-langevin-diffusions-2412.07081</loc><lastmod>2025-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-controlled-langevin-diffusions-2412.07081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-controlled-langevin-diffusions-2412.07081"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-can-learn-johnson-lindenstrauss-embeddings-2412.07242</loc><lastmod>2024-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-can-learn-johnson-lindenstrauss-embeddings-2412.07242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-can-learn-johnson-lindenstrauss-embeddings-2412.07242"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-high-resolution-spatio-temporal-wind-with-deep-echo-state-networks-and-stochastic-partial-differential-equations-2412.07265</loc><lastmod>2024-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-high-resolution-spatio-temporal-wind-with-deep-echo-state-networks-and-stochastic-partial-differential-equations-2412.07265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-high-resolution-spatio-temporal-wind-with-deep-echo-state-networks-and-stochastic-partial-differential-equations-2412.07265"/></url>
<url><loc>https://scifaro.com/en/abs/score-matching-based-structure-learning-for-temporal-data-on-networks-2412.07469</loc><lastmod>2026-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/score-matching-based-structure-learning-for-temporal-data-on-networks-2412.07469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/score-matching-based-structure-learning-for-temporal-data-on-networks-2412.07469"/></url>
<url><loc>https://scifaro.com/en/abs/dual-random-fields-and-their-application-to-mineral-potential-mapping-2412.07488</loc><lastmod>2024-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-random-fields-and-their-application-to-mineral-potential-mapping-2412.07488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-random-fields-and-their-application-to-mineral-potential-mapping-2412.07488"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-of-antibodies-informed-by-a-generative-model-of-evolving-sequences-2412.07763</loc><lastmod>2024-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-of-antibodies-informed-by-a-generative-model-of-evolving-sequences-2412.07763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-of-antibodies-informed-by-a-generative-model-of-evolving-sequences-2412.07763"/></url>
<url><loc>https://scifaro.com/en/abs/score-optimal-diffusion-schedules-2412.07877</loc><lastmod>2024-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/score-optimal-diffusion-schedules-2412.07877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/score-optimal-diffusion-schedules-2412.07877"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-correction-for-quantized-llms-2412.07902</loc><lastmod>2024-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-correction-for-quantized-llms-2412.07902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-correction-for-quantized-llms-2412.07902"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimistic-algorithm-for-online-convex-optimization-with-adversarial-constraints-2412.08060</loc><lastmod>2025-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimistic-algorithm-for-online-convex-optimization-with-adversarial-constraints-2412.08060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimistic-algorithm-for-online-convex-optimization-with-adversarial-constraints-2412.08060"/></url>
<url><loc>https://scifaro.com/en/abs/geoconformal-prediction-a-model-agnostic-framework-of-measuring-the-uncertainty-of-spatial-prediction-2412.08661</loc><lastmod>2025-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geoconformal-prediction-a-model-agnostic-framework-of-measuring-the-uncertainty-of-spatial-prediction-2412.08661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geoconformal-prediction-a-model-agnostic-framework-of-measuring-the-uncertainty-of-spatial-prediction-2412.08661"/></url>
<url><loc>https://scifaro.com/en/abs/precise-asymptotics-and-refined-regret-of-variance-aware-ucb-2412.08843</loc><lastmod>2025-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/precise-asymptotics-and-refined-regret-of-variance-aware-ucb-2412.08843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/precise-asymptotics-and-refined-regret-of-variance-aware-ucb-2412.08843"/></url>
<url><loc>https://scifaro.com/en/abs/belted-and-ensembled-neural-network-for-linear-and-nonlinear-sufficient-dimension-reduction-2412.08961</loc><lastmod>2025-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/belted-and-ensembled-neural-network-for-linear-and-nonlinear-sufficient-dimension-reduction-2412.08961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/belted-and-ensembled-neural-network-for-linear-and-nonlinear-sufficient-dimension-reduction-2412.08961"/></url>
<url><loc>https://scifaro.com/en/abs/epsilon-delta-differentially-private-partial-least-squares-regression-2412.09164</loc><lastmod>2024-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/epsilon-delta-differentially-private-partial-least-squares-regression-2412.09164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/epsilon-delta-differentially-private-partial-least-squares-regression-2412.09164"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-free-uncertainty-quantification-in-neuroscience-inspired-deep-operators-2412.09369</loc><lastmod>2024-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-free-uncertainty-quantification-in-neuroscience-inspired-deep-operators-2412.09369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-free-uncertainty-quantification-in-neuroscience-inspired-deep-operators-2412.09369"/></url>
<url><loc>https://scifaro.com/en/abs/wait-less-offline-tuning-and-re-solving-for-online-decision-making-2412.09594</loc><lastmod>2025-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wait-less-offline-tuning-and-re-solving-for-online-decision-making-2412.09594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wait-less-offline-tuning-and-re-solving-for-online-decision-making-2412.09594"/></url>
<url><loc>https://scifaro.com/en/abs/langevin-monte-carlo-beyond-lipschitz-gradient-continuity-2412.09698</loc><lastmod>2024-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/langevin-monte-carlo-beyond-lipschitz-gradient-continuity-2412.09698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/langevin-monte-carlo-beyond-lipschitz-gradient-continuity-2412.09698"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-the-impact-of-balancing-filtering-and-complexity-on-predictive-multiplicity-a-data-centric-perspective-2412.09712</loc><lastmod>2025-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-the-impact-of-balancing-filtering-and-complexity-on-predictive-multiplicity-a-data-centric-perspective-2412.09712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-the-impact-of-balancing-filtering-and-complexity-on-predictive-multiplicity-a-data-centric-perspective-2412.09712"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-analysis-for-supervised-deep-learning-with-exponential-families-for-intrinsically-low-dimensional-data-2412.09779</loc><lastmod>2024-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-analysis-for-supervised-deep-learning-with-exponential-families-for-intrinsically-low-dimensional-data-2412.09779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-analysis-for-supervised-deep-learning-with-exponential-families-for-intrinsically-low-dimensional-data-2412.09779"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-completion-via-residual-spectral-matching-2412.10005</loc><lastmod>2024-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-completion-via-residual-spectral-matching-2412.10005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-completion-via-residual-spectral-matching-2412.10005"/></url>
<url><loc>https://scifaro.com/en/abs/generative-modeling-with-diffusion-2412.10948</loc><lastmod>2025-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-modeling-with-diffusion-2412.10948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-modeling-with-diffusion-2412.10948"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-of-dynamic-networks-2412.11065</loc><lastmod>2024-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-of-dynamic-networks-2412.11065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-of-dynamic-networks-2412.11065"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-approaches-for-state-space-models-a-selective-review-2412.11211</loc><lastmod>2024-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-approaches-for-state-space-models-a-selective-review-2412.11211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-approaches-for-state-space-models-a-selective-review-2412.11211"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-enhanced-monte-carlo-a-machine-learning-view-on-control-variate-2412.11257</loc><lastmod>2025-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-enhanced-monte-carlo-a-machine-learning-view-on-control-variate-2412.11257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-enhanced-monte-carlo-a-machine-learning-view-on-control-variate-2412.11257"/></url>
<url><loc>https://scifaro.com/en/abs/from-xai-to-mlops-explainable-concept-drift-detection-with-profile-drift-detection-2412.11308</loc><lastmod>2026-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-xai-to-mlops-explainable-concept-drift-detection-with-profile-drift-detection-2412.11308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-xai-to-mlops-explainable-concept-drift-detection-with-profile-drift-detection-2412.11308"/></url>
<url><loc>https://scifaro.com/en/abs/learning-massive-scale-partial-correlation-networks-in-clinical-multi-omics-studies-with-hp-accord-2412.11554</loc><lastmod>2025-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-massive-scale-partial-correlation-networks-in-clinical-multi-omics-studies-with-hp-accord-2412.11554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-massive-scale-partial-correlation-networks-in-clinical-multi-omics-studies-with-hp-accord-2412.11554"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-bayesian-deep-reinforcement-learning-2412.11743</loc><lastmod>2025-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-bayesian-deep-reinforcement-learning-2412.11743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-bayesian-deep-reinforcement-learning-2412.11743"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-diffusion-models-based-conditional-independence-testing-2412.11744</loc><lastmod>2024-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-diffusion-models-based-conditional-independence-testing-2412.11744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-diffusion-models-based-conditional-independence-testing-2412.11744"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-surrogate-training-on-multiple-data-sources-a-hybrid-modeling-strategy-2412.11875</loc><lastmod>2026-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-surrogate-training-on-multiple-data-sources-a-hybrid-modeling-strategy-2412.11875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-surrogate-training-on-multiple-data-sources-a-hybrid-modeling-strategy-2412.11875"/></url>
<url><loc>https://scifaro.com/en/abs/betaexplainer-a-probabilistic-method-to-explain-graph-neural-networks-2412.11964</loc><lastmod>2024-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/betaexplainer-a-probabilistic-method-to-explain-graph-neural-networks-2412.11964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/betaexplainer-a-probabilistic-method-to-explain-graph-neural-networks-2412.11964"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-analysis-for-deep-contrastive-representation-learning-2412.12014</loc><lastmod>2024-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-analysis-for-deep-contrastive-representation-learning-2412.12014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-analysis-for-deep-contrastive-representation-learning-2412.12014"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-choose-a-threshold-for-an-evaluation-metric-for-large-language-models-2412.12148</loc><lastmod>2024-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-choose-a-threshold-for-an-evaluation-metric-for-large-language-models-2412.12148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-choose-a-threshold-for-an-evaluation-metric-for-large-language-models-2412.12148"/></url>
<url><loc>https://scifaro.com/en/abs/adversarially-robust-generalization-theory-via-jacobian-regularization-for-deep-neural-networks-2412.12449</loc><lastmod>2024-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarially-robust-generalization-theory-via-jacobian-regularization-for-deep-neural-networks-2412.12449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarially-robust-generalization-theory-via-jacobian-regularization-for-deep-neural-networks-2412.12449"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-harmful-shift-detection-without-labels-2412.12910</loc><lastmod>2024-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-harmful-shift-detection-without-labels-2412.12910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-harmful-shift-detection-without-labels-2412.12910"/></url>
<url><loc>https://scifaro.com/en/abs/boids-high-dimensional-bayesian-optimization-via-incumbent-guided-direction-lines-and-subspace-embeddings-2412.12918</loc><lastmod>2024-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boids-high-dimensional-bayesian-optimization-via-incumbent-guided-direction-lines-and-subspace-embeddings-2412.12918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boids-high-dimensional-bayesian-optimization-via-incumbent-guided-direction-lines-and-subspace-embeddings-2412.12918"/></url>
<url><loc>https://scifaro.com/en/abs/on-model-extrapolation-in-marginal-shapley-values-2412.13158</loc><lastmod>2024-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-model-extrapolation-in-marginal-shapley-values-2412.13158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-model-extrapolation-in-marginal-shapley-values-2412.13158"/></url>
<url><loc>https://scifaro.com/en/abs/time-reversible-bridges-of-data-with-machine-learning-2412.13665</loc><lastmod>2024-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-reversible-bridges-of-data-with-machine-learning-2412.13665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-reversible-bridges-of-data-with-machine-learning-2412.13665"/></url>
<url><loc>https://scifaro.com/en/abs/subspace-langevin-monte-carlo-2412.13928</loc><lastmod>2025-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subspace-langevin-monte-carlo-2412.13928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subspace-langevin-monte-carlo-2412.13928"/></url>
<url><loc>https://scifaro.com/en/abs/jinns-a-jax-library-for-physics-informed-neural-networks-2412.14132</loc><lastmod>2024-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jinns-a-jax-library-for-physics-informed-neural-networks-2412.14132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jinns-a-jax-library-for-physics-informed-neural-networks-2412.14132"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-robustness-of-spectral-algorithms-for-semirandom-stochastic-block-models-2412.14315</loc><lastmod>2024-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-robustness-of-spectral-algorithms-for-semirandom-stochastic-block-models-2412.14315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-robustness-of-spectral-algorithms-for-semirandom-stochastic-block-models-2412.14315"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-undersampling-with-mutual-information-and-support-points-2412.14527</loc><lastmod>2024-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-undersampling-with-mutual-information-and-support-points-2412.14527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-undersampling-with-mutual-information-and-support-points-2412.14527"/></url>
<url><loc>https://scifaro.com/en/abs/from-point-to-probabilistic-gradient-boosting-for-claim-frequency-and-severity-prediction-2412.14916</loc><lastmod>2025-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-point-to-probabilistic-gradient-boosting-for-claim-frequency-and-severity-prediction-2412.14916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-point-to-probabilistic-gradient-boosting-for-claim-frequency-and-severity-prediction-2412.14916"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-masked-time-series-modeling-via-dropping-patches-2412.15315</loc><lastmod>2024-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-masked-time-series-modeling-via-dropping-patches-2412.15315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-masked-time-series-modeling-via-dropping-patches-2412.15315"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-joint-extremes-of-metocean-variables-using-the-spar-model-2412.15808</loc><lastmod>2025-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-joint-extremes-of-metocean-variables-using-the-spar-model-2412.15808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-joint-extremes-of-metocean-variables-using-the-spar-model-2412.15808"/></url>
<url><loc>https://scifaro.com/en/abs/using-matrix-product-states-for-time-series-machine-learning-2412.15826</loc><lastmod>2025-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-matrix-product-states-for-time-series-machine-learning-2412.15826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-matrix-product-states-for-time-series-machine-learning-2412.15826"/></url>
<url><loc>https://scifaro.com/en/abs/on-robust-cross-domain-alignment-2412.15861</loc><lastmod>2024-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-robust-cross-domain-alignment-2412.15861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-robust-cross-domain-alignment-2412.15861"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparsity-promoting-regularizers-for-linear-inverse-problems-2412.16031</loc><lastmod>2026-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparsity-promoting-regularizers-for-linear-inverse-problems-2412.16031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparsity-promoting-regularizers-for-linear-inverse-problems-2412.16031"/></url>
<url><loc>https://scifaro.com/en/abs/robust-random-graph-matching-in-gaussian-models-via-vector-approximate-message-passing-2412.16457</loc><lastmod>2025-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-random-graph-matching-in-gaussian-models-via-vector-approximate-message-passing-2412.16457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-random-graph-matching-in-gaussian-models-via-vector-approximate-message-passing-2412.16457"/></url>
<url><loc>https://scifaro.com/en/abs/fast-multi-group-gaussian-process-factor-models-2412.16773</loc><lastmod>2024-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-multi-group-gaussian-process-factor-models-2412.16773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-multi-group-gaussian-process-factor-models-2412.16773"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-based-non-linear-inverse-learning-2412.16794</loc><lastmod>2024-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-based-non-linear-inverse-learning-2412.16794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-based-non-linear-inverse-learning-2412.16794"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-random-effects-in-variational-autoencoders-for-dimensionality-reduction-of-correlated-data-2412.16899</loc><lastmod>2024-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-random-effects-in-variational-autoencoders-for-dimensionality-reduction-of-correlated-data-2412.16899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-random-effects-in-variational-autoencoders-for-dimensionality-reduction-of-correlated-data-2412.16899"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-summarized-data-gaussian-process-regression-with-sample-quasi-likelihood-2412.17455</loc><lastmod>2025-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-summarized-data-gaussian-process-regression-with-sample-quasi-likelihood-2412.17455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-summarized-data-gaussian-process-regression-with-sample-quasi-likelihood-2412.17455"/></url>
<url><loc>https://scifaro.com/en/abs/more-is-less-a-simulation-based-approach-to-dynamic-interactions-between-biases-in-multimodal-models-2412.17505</loc><lastmod>2024-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/more-is-less-a-simulation-based-approach-to-dynamic-interactions-between-biases-in-multimodal-models-2412.17505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/more-is-less-a-simulation-based-approach-to-dynamic-interactions-between-biases-in-multimodal-models-2412.17505"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-convergence-rates-for-neural-operators-2412.17518</loc><lastmod>2024-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-convergence-rates-for-neural-operators-2412.17518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-convergence-rates-for-neural-operators-2412.17518"/></url>
<url><loc>https://scifaro.com/en/abs/probability-density-aware-semi-supervised-learning-2412.17547</loc><lastmod>2025-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probability-density-aware-semi-supervised-learning-2412.17547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probability-density-aware-semi-supervised-learning-2412.17547"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-optimal-simple-regret-in-two-armed-best-arm-identification-2412.17753</loc><lastmod>2025-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-optimal-simple-regret-in-two-armed-best-arm-identification-2412.17753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-optimal-simple-regret-in-two-armed-best-arm-identification-2412.17753"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-priors-in-the-maximum-entropy-on-the-mean-method-for-linear-inverse-problems-2412.17916</loc><lastmod>2024-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-priors-in-the-maximum-entropy-on-the-mean-method-for-linear-inverse-problems-2412.17916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-priors-in-the-maximum-entropy-on-the-mean-method-for-linear-inverse-problems-2412.17916"/></url>
<url><loc>https://scifaro.com/en/abs/an-information-theoretic-limit-to-data-amplification-2412.18041</loc><lastmod>2024-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-information-theoretic-limit-to-data-amplification-2412.18041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-information-theoretic-limit-to-data-amplification-2412.18041"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-transfer-learning-for-high-dimensional-regression-with-feature-mismatch-2412.18081</loc><lastmod>2025-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-transfer-learning-for-high-dimensional-regression-with-feature-mismatch-2412.18081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-transfer-learning-for-high-dimensional-regression-with-feature-mismatch-2412.18081"/></url>
<url><loc>https://scifaro.com/en/abs/fr-echet-regression-with-implicit-denoising-and-multicollinearity-reduction-2412.18247</loc><lastmod>2025-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fr-echet-regression-with-implicit-denoising-and-multicollinearity-reduction-2412.18247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fr-echet-regression-with-implicit-denoising-and-multicollinearity-reduction-2412.18247"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-framework-for-ranking-llm-based-chatbots-2412.18407</loc><lastmod>2025-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-framework-for-ranking-llm-based-chatbots-2412.18407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-framework-for-ranking-llm-based-chatbots-2412.18407"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-entropic-optimal-transport-schr-odinger-bridges-and-the-sinkhorn-algorithm-2412.18432</loc><lastmod>2025-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-entropic-optimal-transport-schr-odinger-bridges-and-the-sinkhorn-algorithm-2412.18432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-entropic-optimal-transport-schr-odinger-bridges-and-the-sinkhorn-algorithm-2412.18432"/></url>
<url><loc>https://scifaro.com/en/abs/subsampling-aligning-and-averaging-to-find-circular-coordinates-in-recurrent-time-series-2412.18515</loc><lastmod>2024-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subsampling-aligning-and-averaging-to-find-circular-coordinates-in-recurrent-time-series-2412.18515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subsampling-aligning-and-averaging-to-find-circular-coordinates-in-recurrent-time-series-2412.18515"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-statistical-estimators-via-mutual-information-bounds-2412.18539</loc><lastmod>2025-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-statistical-estimators-via-mutual-information-bounds-2412.18539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-statistical-estimators-via-mutual-information-bounds-2412.18539"/></url>
<url><loc>https://scifaro.com/en/abs/hnci-high-dimensional-network-causal-inference-2412.18568</loc><lastmod>2024-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hnci-high-dimensional-network-causal-inference-2412.18568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hnci-high-dimensional-network-causal-inference-2412.18568"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-perform-sufficient-dimension-reduction-2412.19033</loc><lastmod>2024-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-perform-sufficient-dimension-reduction-2412.19033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-perform-sufficient-dimension-reduction-2412.19033"/></url>
<url><loc>https://scifaro.com/en/abs/localized-exploration-in-contextual-dynamic-pricing-achieves-dimension-free-regret-2412.19252</loc><lastmod>2024-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/localized-exploration-in-contextual-dynamic-pricing-achieves-dimension-free-regret-2412.19252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/localized-exploration-in-contextual-dynamic-pricing-achieves-dimension-free-regret-2412.19252"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-conformal-inference-by-betting-2412.19318</loc><lastmod>2024-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-conformal-inference-by-betting-2412.19318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-conformal-inference-by-betting-2412.19318"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotically-optimal-search-for-a-change-point-anomaly-under-a-composite-hypothesis-model-2412.19392</loc><lastmod>2024-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotically-optimal-search-for-a-change-point-anomaly-under-a-composite-hypothesis-model-2412.19392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotically-optimal-search-for-a-change-point-anomaly-under-a-composite-hypothesis-model-2412.19392"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-contextual-reinforcement-learning-from-heterogeneous-human-feedback-2412.19436</loc><lastmod>2026-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-contextual-reinforcement-learning-from-heterogeneous-human-feedback-2412.19436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-contextual-reinforcement-learning-from-heterogeneous-human-feedback-2412.19436"/></url>
<url><loc>https://scifaro.com/en/abs/deep-continuous-time-state-space-models-for-marked-event-sequences-2412.19634</loc><lastmod>2025-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-continuous-time-state-space-models-for-marked-event-sequences-2412.19634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-continuous-time-state-space-models-for-marked-event-sequences-2412.19634"/></url>
<url><loc>https://scifaro.com/en/abs/deep-relu-networks-injectivity-capacity-upper-bounds-2412.19677</loc><lastmod>2024-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-relu-networks-injectivity-capacity-upper-bounds-2412.19677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-relu-networks-injectivity-capacity-upper-bounds-2412.19677"/></url>
<url><loc>https://scifaro.com/en/abs/causal-machine-learning-for-heterogeneous-treatment-effects-in-the-presence-of-missing-outcome-data-2412.19711</loc><lastmod>2025-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-machine-learning-for-heterogeneous-treatment-effects-in-the-presence-of-missing-outcome-data-2412.19711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-machine-learning-for-heterogeneous-treatment-effects-in-the-presence-of-missing-outcome-data-2412.19711"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-forget-bayesian-time-series-forecasting-using-recurrent-sparse-spectrum-signature-gaussian-processes-2412.19727</loc><lastmod>2024-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-forget-bayesian-time-series-forecasting-using-recurrent-sparse-spectrum-signature-gaussian-processes-2412.19727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-forget-bayesian-time-series-forecasting-using-recurrent-sparse-spectrum-signature-gaussian-processes-2412.19727"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-approach-to-locally-adaptive-polynomial-regression-2412.19802</loc><lastmod>2025-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-approach-to-locally-adaptive-polynomial-regression-2412.19802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-approach-to-locally-adaptive-polynomial-regression-2412.19802"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-modeling-for-explainable-predictive-time-series-corrections-2412.19897</loc><lastmod>2025-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-modeling-for-explainable-predictive-time-series-corrections-2412.19897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-modeling-for-explainable-predictive-time-series-corrections-2412.19897"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generalized-schr-odinger-bridges-from-image-generation-to-solving-mean-field-games-2412.20279</loc><lastmod>2024-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generalized-schr-odinger-bridges-from-image-generation-to-solving-mean-field-games-2412.20279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generalized-schr-odinger-bridges-from-image-generation-to-solving-mean-field-games-2412.20279"/></url>
<url><loc>https://scifaro.com/en/abs/confidence-interval-construction-and-conditional-variance-estimation-with-dense-relu-networks-2412.20355</loc><lastmod>2025-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidence-interval-construction-and-conditional-variance-estimation-with-dense-relu-networks-2412.20355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidence-interval-construction-and-conditional-variance-estimation-with-dense-relu-networks-2412.20355"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-robust-optimization-via-iterative-algorithms-in-continuous-probability-spaces-2412.20556</loc><lastmod>2024-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-robust-optimization-via-iterative-algorithms-in-continuous-probability-spaces-2412.20556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-robust-optimization-via-iterative-algorithms-in-continuous-probability-spaces-2412.20556"/></url>
<url><loc>https://scifaro.com/en/abs/testing-and-improving-the-robustness-of-amortized-bayesian-inference-for-cognitive-models-2412.20586</loc><lastmod>2025-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-and-improving-the-robustness-of-amortized-bayesian-inference-for-cognitive-models-2412.20586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-and-improving-the-robustness-of-amortized-bayesian-inference-for-cognitive-models-2412.20586"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-concentration-for-random-signed-graphs-and-community-recovery-in-the-signed-stochastic-block-model-2412.20620</loc><lastmod>2024-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-concentration-for-random-signed-graphs-and-community-recovery-in-the-signed-stochastic-block-model-2412.20620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-concentration-for-random-signed-graphs-and-community-recovery-in-the-signed-stochastic-block-model-2412.20620"/></url>
<url><loc>https://scifaro.com/en/abs/soft-diamond-regularizers-for-deep-learning-2412.20724</loc><lastmod>2025-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-diamond-regularizers-for-deep-learning-2412.20724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-diamond-regularizers-for-deep-learning-2412.20724"/></url>
<url><loc>https://scifaro.com/en/abs/robust-matrix-completion-for-discrete-rating-scale-data-coping-with-fake-profiles-in-recommender-systems-2412.20802</loc><lastmod>2025-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-matrix-completion-for-discrete-rating-scale-data-coping-with-fake-profiles-in-recommender-systems-2412.20802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-matrix-completion-for-discrete-rating-scale-data-coping-with-fake-profiles-in-recommender-systems-2412.20802"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-aware-out-of-distribution-detection-with-gaussian-processes-2412.20918</loc><lastmod>2024-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-aware-out-of-distribution-detection-with-gaussian-processes-2412.20918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-aware-out-of-distribution-detection-with-gaussian-processes-2412.20918"/></url>
<url><loc>https://scifaro.com/en/abs/post-launch-evaluation-of-policies-in-a-high-dimensional-setting-2501.00119</loc><lastmod>2025-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/post-launch-evaluation-of-policies-in-a-high-dimensional-setting-2501.00119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/post-launch-evaluation-of-policies-in-a-high-dimensional-setting-2501.00119"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-human-in-the-loop-active-learning-a-novel-framework-for-data-labeling-in-ai-systems-2501.00277</loc><lastmod>2026-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-human-in-the-loop-active-learning-a-novel-framework-for-data-labeling-in-ai-systems-2501.00277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-human-in-the-loop-active-learning-a-novel-framework-for-data-labeling-in-ai-systems-2501.00277"/></url>
<url><loc>https://scifaro.com/en/abs/different-thresholding-methods-on-nearest-shrunken-centroid-algorithm-2501.00632</loc><lastmod>2025-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/different-thresholding-methods-on-nearest-shrunken-centroid-algorithm-2501.00632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/different-thresholding-methods-on-nearest-shrunken-centroid-algorithm-2501.00632"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-the-distributional-fidelity-of-synthetic-chest-x-rays-using-the-embedded-characteristic-score-2501.00744</loc><lastmod>2026-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-the-distributional-fidelity-of-synthetic-chest-x-rays-using-the-embedded-characteristic-score-2501.00744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-the-distributional-fidelity-of-synthetic-chest-x-rays-using-the-embedded-characteristic-score-2501.00744"/></url>
<url><loc>https://scifaro.com/en/abs/ensuring-superior-learning-outcomes-and-data-security-for-authorized-learner-2501.00754</loc><lastmod>2025-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensuring-superior-learning-outcomes-and-data-security-for-authorized-learner-2501.00754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensuring-superior-learning-outcomes-and-data-security-for-authorized-learner-2501.00754"/></url>
<url><loc>https://scifaro.com/en/abs/an-ai-powered-bayesian-generative-modeling-approach-for-causal-inference-in-observational-studies-2501.00755</loc><lastmod>2026-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-ai-powered-bayesian-generative-modeling-approach-for-causal-inference-in-observational-studies-2501.00755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-ai-powered-bayesian-generative-modeling-approach-for-causal-inference-in-observational-studies-2501.00755"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-implementation-of-a-bayesian-optimization-framework-for-interconnected-systems-2501.00967</loc><lastmod>2025-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-implementation-of-a-bayesian-optimization-framework-for-interconnected-systems-2501.00967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-implementation-of-a-bayesian-optimization-framework-for-interconnected-systems-2501.00967"/></url>
<url><loc>https://scifaro.com/en/abs/learning-spectral-methods-by-transformers-2501.01312</loc><lastmod>2025-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-spectral-methods-by-transformers-2501.01312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-spectral-methods-by-transformers-2501.01312"/></url>
<url><loc>https://scifaro.com/en/abs/deep-discrete-encoders-identifiable-deep-generative-models-for-rich-data-with-discrete-latent-layers-2501.01414</loc><lastmod>2025-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-discrete-encoders-identifiable-deep-generative-models-for-rich-data-with-discrete-latent-layers-2501.01414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-discrete-encoders-identifiable-deep-generative-models-for-rich-data-with-discrete-latent-layers-2501.01414"/></url>
<url><loc>https://scifaro.com/en/abs/guaranteed-nonconvex-low-rank-tensor-estimation-via-scaled-gradient-descent-2501.01696</loc><lastmod>2026-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guaranteed-nonconvex-low-rank-tensor-estimation-via-scaled-gradient-descent-2501.01696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guaranteed-nonconvex-low-rank-tensor-estimation-via-scaled-gradient-descent-2501.01696"/></url>
<url><loc>https://scifaro.com/en/abs/unified-native-spaces-in-kernel-methods-2501.01825</loc><lastmod>2025-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unified-native-spaces-in-kernel-methods-2501.01825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unified-native-spaces-in-kernel-methods-2501.01825"/></url>
<url><loc>https://scifaro.com/en/abs/signal-recovery-using-a-spiked-mixture-model-2501.01840</loc><lastmod>2026-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/signal-recovery-using-a-spiked-mixture-model-2501.01840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/signal-recovery-using-a-spiked-mixture-model-2501.01840"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-covid-19-spread-in-the-usa-using-metapopulation-sir-models-coupled-with-graph-convolutional-neural-networks-2501.02043</loc><lastmod>2025-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-covid-19-spread-in-the-usa-using-metapopulation-sir-models-coupled-with-graph-convolutional-neural-networks-2501.02043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-covid-19-spread-in-the-usa-using-metapopulation-sir-models-coupled-with-graph-convolutional-neural-networks-2501.02043"/></url>
<url><loc>https://scifaro.com/en/abs/majorization-minimization-dual-stagewise-algorithm-for-generalized-lasso-2501.02197</loc><lastmod>2025-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/majorization-minimization-dual-stagewise-algorithm-for-generalized-lasso-2501.02197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/majorization-minimization-dual-stagewise-algorithm-for-generalized-lasso-2501.02197"/></url>
<url><loc>https://scifaro.com/en/abs/robust-multi-dimensional-scaling-via-accelerated-alternating-projections-2501.02208</loc><lastmod>2025-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-multi-dimensional-scaling-via-accelerated-alternating-projections-2501.02208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-multi-dimensional-scaling-via-accelerated-alternating-projections-2501.02208"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-log-concavity-and-score-regularity-improved-convergence-bounds-for-score-based-generative-models-in-w2-distance-2501.02298</loc><lastmod>2025-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-log-concavity-and-score-regularity-improved-convergence-bounds-for-score-based-generative-models-in-w2-distance-2501.02298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-log-concavity-and-score-regularity-improved-convergence-bounds-for-score-based-generative-models-in-w2-distance-2501.02298"/></url>
<url><loc>https://scifaro.com/en/abs/a-training-free-method-for-llm-text-attribution-2501.02406</loc><lastmod>2026-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-training-free-method-for-llm-text-attribution-2501.02406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-training-free-method-for-llm-text-attribution-2501.02406"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-via-regularized-linear-discriminant-analysis-2501.02411</loc><lastmod>2025-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-via-regularized-linear-discriminant-analysis-2501.02411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-via-regularized-linear-discriminant-analysis-2501.02411"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-hypothesis-testing-framework-for-data-misappropriation-detection-in-large-language-models-2501.02441</loc><lastmod>2025-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-hypothesis-testing-framework-for-data-misappropriation-detection-in-large-language-models-2501.02441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-hypothesis-testing-framework-for-data-misappropriation-detection-in-large-language-models-2501.02441"/></url>
<url><loc>https://scifaro.com/en/abs/transformers-simulate-mle-for-sequence-generation-in-bayesian-networks-2501.02547</loc><lastmod>2025-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformers-simulate-mle-for-sequence-generation-in-bayesian-networks-2501.02547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformers-simulate-mle-for-sequence-generation-in-bayesian-networks-2501.02547"/></url>
<url><loc>https://scifaro.com/en/abs/re-examining-granger-causality-with-causal-bayesian-networks-and-reichenbachs-principles-2501.02672</loc><lastmod>2026-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/re-examining-granger-causality-with-causal-bayesian-networks-and-reichenbachs-principles-2501.02672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/re-examining-granger-causality-with-causal-bayesian-networks-and-reichenbachs-principles-2501.02672"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-mathcal-o-sqrt-t-regret-decoupling-learning-and-decision-making-in-online-linear-programming-2501.02761</loc><lastmod>2025-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-mathcal-o-sqrt-t-regret-decoupling-learning-and-decision-making-in-online-linear-programming-2501.02761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-mathcal-o-sqrt-t-regret-decoupling-learning-and-decision-making-in-online-linear-programming-2501.02761"/></url>
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<url><loc>https://scifaro.com/en/abs/classifier-weighted-mixture-models-2501.02989</loc><lastmod>2025-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifier-weighted-mixture-models-2501.02989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifier-weighted-mixture-models-2501.02989"/></url>
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<url><loc>https://scifaro.com/en/abs/generation-from-noisy-examples-2501.04179</loc><lastmod>2025-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generation-from-noisy-examples-2501.04179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generation-from-noisy-examples-2501.04179"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-uncertainty-quantification-for-aggregate-performance-metrics-in-machine-learning-benchmarks-2501.04234</loc><lastmod>2025-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-uncertainty-quantification-for-aggregate-performance-metrics-in-machine-learning-benchmarks-2501.04234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-uncertainty-quantification-for-aggregate-performance-metrics-in-machine-learning-benchmarks-2501.04234"/></url>
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<url><loc>https://scifaro.com/en/abs/circuit-complexity-bounds-for-visual-autoregressive-model-2501.04299</loc><lastmod>2025-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/circuit-complexity-bounds-for-visual-autoregressive-model-2501.04299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/circuit-complexity-bounds-for-visual-autoregressive-model-2501.04299"/></url>
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<url><loc>https://scifaro.com/en/abs/robust-score-matching-2501.05105</loc><lastmod>2025-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-score-matching-2501.05105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-score-matching-2501.05105"/></url>
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<url><loc>https://scifaro.com/en/abs/i-trustworthy-models-a-framework-for-trustworthiness-evaluation-of-probabilistic-classifiers-2501.15617</loc><lastmod>2025-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/i-trustworthy-models-a-framework-for-trustworthiness-evaluation-of-probabilistic-classifiers-2501.15617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/i-trustworthy-models-a-framework-for-trustworthiness-evaluation-of-probabilistic-classifiers-2501.15617"/></url>
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<url><loc>https://scifaro.com/en/abs/nonparametric-sparse-online-learning-of-the-koopman-operator-2501.16489</loc><lastmod>2025-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-sparse-online-learning-of-the-koopman-operator-2501.16489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-sparse-online-learning-of-the-koopman-operator-2501.16489"/></url>
<url><loc>https://scifaro.com/en/abs/variational-schr-odinger-momentum-diffusion-2501.16675</loc><lastmod>2025-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-schr-odinger-momentum-diffusion-2501.16675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-schr-odinger-momentum-diffusion-2501.16675"/></url>
<url><loc>https://scifaro.com/en/abs/towards-the-generalization-of-multi-view-learning-an-information-theoretical-analysis-2501.16768</loc><lastmod>2025-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-the-generalization-of-multi-view-learning-an-information-theoretical-analysis-2501.16768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-the-generalization-of-multi-view-learning-an-information-theoretical-analysis-2501.16768"/></url>
<url><loc>https://scifaro.com/en/abs/exponential-family-attention-2501.16790</loc><lastmod>2025-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-family-attention-2501.16790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-family-attention-2501.16790"/></url>
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<url><loc>https://scifaro.com/en/abs/scalable-sobolev-ipm-for-probability-measures-on-a-graph-2502.00737</loc><lastmod>2025-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-sobolev-ipm-for-probability-measures-on-a-graph-2502.00737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-sobolev-ipm-for-probability-measures-on-a-graph-2502.00737"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-orlicz-sobolev-approach-for-transporting-unbalanced-measures-on-a-graph-2502.00739</loc><lastmod>2025-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-orlicz-sobolev-approach-for-transporting-unbalanced-measures-on-a-graph-2502.00739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-orlicz-sobolev-approach-for-transporting-unbalanced-measures-on-a-graph-2502.00739"/></url>
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<url><loc>https://scifaro.com/en/abs/algorithmic-stability-of-stochastic-gradient-descent-with-momentum-under-heavy-tailed-noise-2502.00885</loc><lastmod>2025-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-stability-of-stochastic-gradient-descent-with-momentum-under-heavy-tailed-noise-2502.00885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-stability-of-stochastic-gradient-descent-with-momentum-under-heavy-tailed-noise-2502.00885"/></url>
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<url><loc>https://scifaro.com/en/abs/lora-one-one-step-full-gradient-could-suffice-for-fine-tuning-large-language-models-provably-and-efficiently-2502.01235</loc><lastmod>2025-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lora-one-one-step-full-gradient-could-suffice-for-fine-tuning-large-language-models-provably-and-efficiently-2502.01235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lora-one-one-step-full-gradient-could-suffice-for-fine-tuning-large-language-models-provably-and-efficiently-2502.01235"/></url>
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<url><loc>https://scifaro.com/en/abs/linear-bandits-with-partially-observable-features-2502.06142</loc><lastmod>2025-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-bandits-with-partially-observable-features-2502.06142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-bandits-with-partially-observable-features-2502.06142"/></url>
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<url><loc>https://scifaro.com/en/abs/spectral-factorized-positive-definite-curvature-learning-for-nn-training-2502.06268</loc><lastmod>2025-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-factorized-positive-definite-curvature-learning-for-nn-training-2502.06268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-factorized-positive-definite-curvature-learning-for-nn-training-2502.06268"/></url>
<url><loc>https://scifaro.com/en/abs/conformal-prediction-regions-are-imprecise-highest-density-regions-2502.06331</loc><lastmod>2025-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformal-prediction-regions-are-imprecise-highest-density-regions-2502.06331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformal-prediction-regions-are-imprecise-highest-density-regions-2502.06331"/></url>
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<url><loc>https://scifaro.com/en/abs/membership-inference-risks-in-quantized-models-a-theoretical-and-empirical-study-2502.06567</loc><lastmod>2026-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/membership-inference-risks-in-quantized-models-a-theoretical-and-empirical-study-2502.06567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/membership-inference-risks-in-quantized-models-a-theoretical-and-empirical-study-2502.06567"/></url>
<url><loc>https://scifaro.com/en/abs/iloco-distribution-free-inference-for-feature-interactions-2502.06661</loc><lastmod>2025-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iloco-distribution-free-inference-for-feature-interactions-2502.06661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iloco-distribution-free-inference-for-feature-interactions-2502.06661"/></url>
<url><loc>https://scifaro.com/en/abs/quantile-multi-armed-bandits-with-1-bit-feedback-2502.06678</loc><lastmod>2025-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantile-multi-armed-bandits-with-1-bit-feedback-2502.06678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantile-multi-armed-bandits-with-1-bit-feedback-2502.06678"/></url>
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<url><loc>https://scifaro.com/en/abs/learning-an-optimal-assortment-policy-under-observational-data-2502.06777</loc><lastmod>2025-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-an-optimal-assortment-policy-under-observational-data-2502.06777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-an-optimal-assortment-policy-under-observational-data-2502.06777"/></url>
<url><loc>https://scifaro.com/en/abs/epistemic-uncertainty-in-conformal-scores-a-unified-approach-2502.06995</loc><lastmod>2025-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/epistemic-uncertainty-in-conformal-scores-a-unified-approach-2502.06995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/epistemic-uncertainty-in-conformal-scores-a-unified-approach-2502.06995"/></url>
<url><loc>https://scifaro.com/en/abs/confidence-intervals-for-evaluation-of-data-mining-2502.07016</loc><lastmod>2025-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidence-intervals-for-evaluation-of-data-mining-2502.07016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidence-intervals-for-evaluation-of-data-mining-2502.07016"/></url>
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<url><loc>https://scifaro.com/en/abs/online-covariance-matrix-estimation-in-sketched-newton-methods-2502.07114</loc><lastmod>2026-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-covariance-matrix-estimation-in-sketched-newton-methods-2502.07114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-covariance-matrix-estimation-in-sketched-newton-methods-2502.07114"/></url>
<url><loc>https://scifaro.com/en/abs/riemannian-proximal-sampler-for-high-accuracy-sampling-on-manifolds-2502.07265</loc><lastmod>2025-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/riemannian-proximal-sampler-for-high-accuracy-sampling-on-manifolds-2502.07265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/riemannian-proximal-sampler-for-high-accuracy-sampling-on-manifolds-2502.07265"/></url>
<url><loc>https://scifaro.com/en/abs/negative-dependence-as-a-toolbox-for-machine-learning-review-and-new-developments-2502.07285</loc><lastmod>2025-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/negative-dependence-as-a-toolbox-for-machine-learning-review-and-new-developments-2502.07285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/negative-dependence-as-a-toolbox-for-machine-learning-review-and-new-developments-2502.07285"/></url>
<url><loc>https://scifaro.com/en/abs/uniform-kernel-prober-2502.07369</loc><lastmod>2025-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uniform-kernel-prober-2502.07369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uniform-kernel-prober-2502.07369"/></url>
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<url><loc>https://scifaro.com/en/abs/adapts-adapting-univariate-foundation-models-to-probabilistic-multivariate-time-series-forecasting-2502.10235</loc><lastmod>2025-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapts-adapting-univariate-foundation-models-to-probabilistic-multivariate-time-series-forecasting-2502.10235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapts-adapting-univariate-foundation-models-to-probabilistic-multivariate-time-series-forecasting-2502.10235"/></url>
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<url><loc>https://scifaro.com/en/abs/forecasting-time-series-with-constraints-2502.10485</loc><lastmod>2025-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-time-series-with-constraints-2502.10485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-time-series-with-constraints-2502.10485"/></url>
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<url><loc>https://scifaro.com/en/abs/robust-high-dimensional-mean-estimation-with-low-data-size-an-empirical-study-2502.11324</loc><lastmod>2025-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-high-dimensional-mean-estimation-with-low-data-size-an-empirical-study-2502.11324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-high-dimensional-mean-estimation-with-low-data-size-an-empirical-study-2502.11324"/></url>
<url><loc>https://scifaro.com/en/abs/all-models-are-miscalibrated-but-some-less-so-comparing-calibration-with-conditional-mean-operators-2502.11465</loc><lastmod>2025-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/all-models-are-miscalibrated-but-some-less-so-comparing-calibration-with-conditional-mean-operators-2502.11465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/all-models-are-miscalibrated-but-some-less-so-comparing-calibration-with-conditional-mean-operators-2502.11465"/></url>
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<url><loc>https://scifaro.com/en/abs/private-synthetic-graph-generation-and-fused-gromov-wasserstein-distance-2502.11778</loc><lastmod>2025-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-synthetic-graph-generation-and-fused-gromov-wasserstein-distance-2502.11778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-synthetic-graph-generation-and-fused-gromov-wasserstein-distance-2502.11778"/></url>
<url><loc>https://scifaro.com/en/abs/jolt-joint-probabilistic-predictions-on-tabular-data-using-llms-2502.11877</loc><lastmod>2025-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jolt-joint-probabilistic-predictions-on-tabular-data-using-llms-2502.11877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jolt-joint-probabilistic-predictions-on-tabular-data-using-llms-2502.11877"/></url>
<url><loc>https://scifaro.com/en/abs/neural-guided-diffusion-bridges-2502.11909</loc><lastmod>2025-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-guided-diffusion-bridges-2502.11909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-guided-diffusion-bridges-2502.11909"/></url>
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<url><loc>https://scifaro.com/en/abs/low-rank-thinning-2502.12063</loc><lastmod>2026-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-thinning-2502.12063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-thinning-2502.12063"/></url>
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<url><loc>https://scifaro.com/en/abs/unsupervised-attributed-dynamic-network-embedding-with-stability-guarantees-2503.02859</loc><lastmod>2025-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-attributed-dynamic-network-embedding-with-stability-guarantees-2503.02859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-attributed-dynamic-network-embedding-with-stability-guarantees-2503.02859"/></url>
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<url><loc>https://scifaro.com/en/abs/applications-of-entropy-in-data-analysis-and-machine-learning-a-review-2503.02921</loc><lastmod>2025-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applications-of-entropy-in-data-analysis-and-machine-learning-a-review-2503.02921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applications-of-entropy-in-data-analysis-and-machine-learning-a-review-2503.02921"/></url>
<url><loc>https://scifaro.com/en/abs/blade-bayesian-langevin-active-discovery-with-replica-exchange-for-identification-of-complex-systems-2503.02983</loc><lastmod>2026-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blade-bayesian-langevin-active-discovery-with-replica-exchange-for-identification-of-complex-systems-2503.02983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blade-bayesian-langevin-active-discovery-with-replica-exchange-for-identification-of-complex-systems-2503.02983"/></url>
<url><loc>https://scifaro.com/en/abs/pac-learning-with-improvements-2503.03184</loc><lastmod>2025-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-learning-with-improvements-2503.03184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-learning-with-improvements-2503.03184"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-rates-for-softmax-gating-mixture-of-experts-2503.03213</loc><lastmod>2025-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-rates-for-softmax-gating-mixture-of-experts-2503.03213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-rates-for-softmax-gating-mixture-of-experts-2503.03213"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-specialization-and-sensitivity-of-convolutional-neural-networks-in-the-context-of-simultaneous-image-augmentations-2503.03283</loc><lastmod>2026-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-specialization-and-sensitivity-of-convolutional-neural-networks-in-the-context-of-simultaneous-image-augmentations-2503.03283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-specialization-and-sensitivity-of-convolutional-neural-networks-in-the-context-of-simultaneous-image-augmentations-2503.03283"/></url>
<url><loc>https://scifaro.com/en/abs/do-iqs-dynamics-aware-offline-inverse-q-learning-for-optimal-stopping-with-unknown-gain-functions-2503.03515</loc><lastmod>2025-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-iqs-dynamics-aware-offline-inverse-q-learning-for-optimal-stopping-with-unknown-gain-functions-2503.03515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-iqs-dynamics-aware-offline-inverse-q-learning-for-optimal-stopping-with-unknown-gain-functions-2503.03515"/></url>
<url><loc>https://scifaro.com/en/abs/a-criterion-for-extending-continuous-mixture-identifiability-results-2503.03536</loc><lastmod>2025-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-criterion-for-extending-continuous-mixture-identifiability-results-2503.03536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-criterion-for-extending-continuous-mixture-identifiability-results-2503.03536"/></url>
<url><loc>https://scifaro.com/en/abs/feature-matching-intervention-leveraging-observational-data-for-causal-representation-learning-2503.03634</loc><lastmod>2025-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-matching-intervention-leveraging-observational-data-for-causal-representation-learning-2503.03634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-matching-intervention-leveraging-observational-data-for-causal-representation-learning-2503.03634"/></url>
<url><loc>https://scifaro.com/en/abs/conformal-prediction-of-future-insurance-claims-in-the-regression-problem-2503.03659</loc><lastmod>2025-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformal-prediction-of-future-insurance-claims-in-the-regression-problem-2503.03659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformal-prediction-of-future-insurance-claims-in-the-regression-problem-2503.03659"/></url>
<url><loc>https://scifaro.com/en/abs/deep-causal-behavioral-policy-learning-applications-to-healthcare-2503.03724</loc><lastmod>2025-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-causal-behavioral-policy-learning-applications-to-healthcare-2503.03724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-causal-behavioral-policy-learning-applications-to-healthcare-2503.03724"/></url>
<url><loc>https://scifaro.com/en/abs/reheated-gradient-based-discrete-sampling-for-combinatorial-optimization-2503.04047</loc><lastmod>2025-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reheated-gradient-based-discrete-sampling-for-combinatorial-optimization-2503.04047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reheated-gradient-based-discrete-sampling-for-combinatorial-optimization-2503.04047"/></url>
<url><loc>https://scifaro.com/en/abs/tightening-optimality-gap-with-confidence-through-conformal-prediction-2503.04071</loc><lastmod>2026-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tightening-optimality-gap-with-confidence-through-conformal-prediction-2503.04071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tightening-optimality-gap-with-confidence-through-conformal-prediction-2503.04071"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-in-federated-learning-a-conditional-mutual-information-framework-2503.04091</loc><lastmod>2025-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-in-federated-learning-a-conditional-mutual-information-framework-2503.04091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-in-federated-learning-a-conditional-mutual-information-framework-2503.04091"/></url>
<url><loc>https://scifaro.com/en/abs/learning-causal-response-representations-through-direct-effect-analysis-2503.04358</loc><lastmod>2025-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-causal-response-representations-through-direct-effect-analysis-2503.04358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-causal-response-representations-through-direct-effect-analysis-2503.04358"/></url>
<url><loc>https://scifaro.com/en/abs/time-varying-factor-augmented-vector-autoregression-with-grouped-sparse-autoencoder-2503.04386</loc><lastmod>2025-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-varying-factor-augmented-vector-autoregression-with-grouped-sparse-autoencoder-2503.04386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-varying-factor-augmented-vector-autoregression-with-grouped-sparse-autoencoder-2503.04386"/></url>
<url><loc>https://scifaro.com/en/abs/determinant-estimation-under-memory-constraints-and-neural-scaling-laws-2503.04424</loc><lastmod>2025-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/determinant-estimation-under-memory-constraints-and-neural-scaling-laws-2503.04424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/determinant-estimation-under-memory-constraints-and-neural-scaling-laws-2503.04424"/></url>
<url><loc>https://scifaro.com/en/abs/reproducibility-assessment-of-magnetic-resonance-spectroscopy-of-pregenual-anterior-cingulate-cortex-across-sessions-and-vendors-via-the-cloud-computing-platform-cloudbrain-mrs-2503.04453</loc><lastmod>2025-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reproducibility-assessment-of-magnetic-resonance-spectroscopy-of-pregenual-anterior-cingulate-cortex-across-sessions-and-vendors-via-the-cloud-computing-platform-cloudbrain-mrs-2503.04453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reproducibility-assessment-of-magnetic-resonance-spectroscopy-of-pregenual-anterior-cingulate-cortex-across-sessions-and-vendors-via-the-cloud-computing-platform-cloudbrain-mrs-2503.04453"/></url>
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<url><loc>https://scifaro.com/en/abs/infosem-a-deep-generative-model-with-informative-priors-for-gene-regulatory-network-inference-2503.04483</loc><lastmod>2025-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infosem-a-deep-generative-model-with-informative-priors-for-gene-regulatory-network-inference-2503.04483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infosem-a-deep-generative-model-with-informative-priors-for-gene-regulatory-network-inference-2503.04483"/></url>
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<url><loc>https://scifaro.com/en/abs/propagating-model-uncertainty-through-filtering-based-probabilistic-numerical-ode-solvers-2503.04684</loc><lastmod>2025-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/propagating-model-uncertainty-through-filtering-based-probabilistic-numerical-ode-solvers-2503.04684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/propagating-model-uncertainty-through-filtering-based-probabilistic-numerical-ode-solvers-2503.04684"/></url>
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<url><loc>https://scifaro.com/en/abs/foreclassing-a-new-machine-learning-perspective-on-human-decision-making-with-temporal-data-2503.04956</loc><lastmod>2026-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/foreclassing-a-new-machine-learning-perspective-on-human-decision-making-with-temporal-data-2503.04956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/foreclassing-a-new-machine-learning-perspective-on-human-decision-making-with-temporal-data-2503.04956"/></url>
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<url><loc>https://scifaro.com/en/abs/the-influence-of-missing-data-mechanisms-and-simple-missing-data-handling-techniques-on-fairness-2503.07313</loc><lastmod>2026-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-influence-of-missing-data-mechanisms-and-simple-missing-data-handling-techniques-on-fairness-2503.07313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-influence-of-missing-data-mechanisms-and-simple-missing-data-handling-techniques-on-fairness-2503.07313"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-distributed-learning-over-decentralized-networks-with-convoluted-support-vector-machine-2503.07563</loc><lastmod>2025-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-distributed-learning-over-decentralized-networks-with-convoluted-support-vector-machine-2503.07563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-distributed-learning-over-decentralized-networks-with-convoluted-support-vector-machine-2503.07563"/></url>
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<url><loc>https://scifaro.com/en/abs/probabilistic-shielding-for-safe-reinforcement-learning-2503.07671</loc><lastmod>2025-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-shielding-for-safe-reinforcement-learning-2503.07671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-shielding-for-safe-reinforcement-learning-2503.07671"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-convolutional-dictionary-learning-of-physiological-time-series-2503.07687</loc><lastmod>2025-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-convolutional-dictionary-learning-of-physiological-time-series-2503.07687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-convolutional-dictionary-learning-of-physiological-time-series-2503.07687"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-quantification-and-posterior-sampling-for-network-reconstruction-2503.07736</loc><lastmod>2025-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-quantification-and-posterior-sampling-for-network-reconstruction-2503.07736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-quantification-and-posterior-sampling-for-network-reconstruction-2503.07736"/></url>
<url><loc>https://scifaro.com/en/abs/pure-exploration-with-feedback-graphs-2503.07824</loc><lastmod>2025-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pure-exploration-with-feedback-graphs-2503.07824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pure-exploration-with-feedback-graphs-2503.07824"/></url>
<url><loc>https://scifaro.com/en/abs/cost-aware-optimal-pairwise-pure-exploration-2503.07877</loc><lastmod>2025-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-aware-optimal-pairwise-pure-exploration-2503.07877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-aware-optimal-pairwise-pure-exploration-2503.07877"/></url>
<url><loc>https://scifaro.com/en/abs/a-theory-of-learning-with-autoregressive-chain-of-thought-2503.07932</loc><lastmod>2025-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theory-of-learning-with-autoregressive-chain-of-thought-2503.07932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theory-of-learning-with-autoregressive-chain-of-thought-2503.07932"/></url>
<url><loc>https://scifaro.com/en/abs/benign-overfitting-and-the-geometry-of-the-ridge-regression-solution-in-binary-classification-2503.07966</loc><lastmod>2025-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benign-overfitting-and-the-geometry-of-the-ridge-regression-solution-in-binary-classification-2503.07966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benign-overfitting-and-the-geometry-of-the-ridge-regression-solution-in-binary-classification-2503.07966"/></url>
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<url><loc>https://scifaro.com/en/abs/computational-bottlenecks-for-denoising-diffusions-2503.08028</loc><lastmod>2026-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computational-bottlenecks-for-denoising-diffusions-2503.08028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computational-bottlenecks-for-denoising-diffusions-2503.08028"/></url>
<url><loc>https://scifaro.com/en/abs/locally-private-nonparametric-contextual-multi-armed-bandits-2503.08098</loc><lastmod>2025-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-private-nonparametric-contextual-multi-armed-bandits-2503.08098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-private-nonparametric-contextual-multi-armed-bandits-2503.08098"/></url>
<url><loc>https://scifaro.com/en/abs/median-consensus-embedding-for-dimensionality-reduction-2503.08103</loc><lastmod>2025-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/median-consensus-embedding-for-dimensionality-reduction-2503.08103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/median-consensus-embedding-for-dimensionality-reduction-2503.08103"/></url>
<url><loc>https://scifaro.com/en/abs/how-good-is-pac-bayes-at-explaining-generalisation-2503.08231</loc><lastmod>2025-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-good-is-pac-bayes-at-explaining-generalisation-2503.08231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-good-is-pac-bayes-at-explaining-generalisation-2503.08231"/></url>
<url><loc>https://scifaro.com/en/abs/massively-parallel-expectation-maximization-for-approximate-posteriors-2503.08264</loc><lastmod>2025-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/massively-parallel-expectation-maximization-for-approximate-posteriors-2503.08264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/massively-parallel-expectation-maximization-for-approximate-posteriors-2503.08264"/></url>
<url><loc>https://scifaro.com/en/abs/sparsity-induced-global-matrix-autoregressive-model-with-auxiliary-network-data-2503.08579</loc><lastmod>2025-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsity-induced-global-matrix-autoregressive-model-with-auxiliary-network-data-2503.08579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsity-induced-global-matrix-autoregressive-model-with-auxiliary-network-data-2503.08579"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-diffusion-model-in-high-dimension-2503.08643</loc><lastmod>2025-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-diffusion-model-in-high-dimension-2503.08643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-diffusion-model-in-high-dimension-2503.08643"/></url>
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<url><loc>https://scifaro.com/en/abs/a-deep-bayesian-nonparametric-framework-for-robust-mutual-information-estimation-2503.08902</loc><lastmod>2025-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-bayesian-nonparametric-framework-for-robust-mutual-information-estimation-2503.08902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-bayesian-nonparametric-framework-for-robust-mutual-information-estimation-2503.08902"/></url>
<url><loc>https://scifaro.com/en/abs/self-consistent-equation-guided-neural-networks-for-censored-time-to-event-data-2503.09097</loc><lastmod>2025-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-consistent-equation-guided-neural-networks-for-censored-time-to-event-data-2503.09097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-consistent-equation-guided-neural-networks-for-censored-time-to-event-data-2503.09097"/></url>
<url><loc>https://scifaro.com/en/abs/addressing-pitfalls-in-implicit-unobserved-confounding-synthesis-using-explicit-block-hierarchical-ancestral-sampling-2503.09194</loc><lastmod>2025-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/addressing-pitfalls-in-implicit-unobserved-confounding-synthesis-using-explicit-block-hierarchical-ancestral-sampling-2503.09194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/addressing-pitfalls-in-implicit-unobserved-confounding-synthesis-using-explicit-block-hierarchical-ancestral-sampling-2503.09194"/></url>
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<url><loc>https://scifaro.com/en/abs/neural-network-based-change-point-detection-for-large-scale-time-evolving-data-2503.09541</loc><lastmod>2025-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-based-change-point-detection-for-large-scale-time-evolving-data-2503.09541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-based-change-point-detection-for-large-scale-time-evolving-data-2503.09541"/></url>
<url><loc>https://scifaro.com/en/abs/power-spectrum-signatures-of-graphs-2503.09660</loc><lastmod>2025-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/power-spectrum-signatures-of-graphs-2503.09660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/power-spectrum-signatures-of-graphs-2503.09660"/></url>
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<url><loc>https://scifaro.com/en/abs/when-do-transformers-outperform-feedforward-and-recurrent-networks-a-statistical-perspective-2503.11272</loc><lastmod>2025-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-do-transformers-outperform-feedforward-and-recurrent-networks-a-statistical-perspective-2503.11272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-do-transformers-outperform-feedforward-and-recurrent-networks-a-statistical-perspective-2503.11272"/></url>
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<url><loc>https://scifaro.com/en/abs/estimating-stationary-mass-frequency-by-frequency-2503.12808</loc><lastmod>2025-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-stationary-mass-frequency-by-frequency-2503.12808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-stationary-mass-frequency-by-frequency-2503.12808"/></url>
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<url><loc>https://scifaro.com/en/abs/do-you-understand-epistemic-uncertainty-think-again-rigorous-frequentist-epistemic-uncertainty-estimation-in-regression-2503.13317</loc><lastmod>2025-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-you-understand-epistemic-uncertainty-think-again-rigorous-frequentist-epistemic-uncertainty-estimation-in-regression-2503.13317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-you-understand-epistemic-uncertainty-think-again-rigorous-frequentist-epistemic-uncertainty-estimation-in-regression-2503.13317"/></url>
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<url><loc>https://scifaro.com/en/abs/interpretability-of-graph-neural-networks-to-assess-effects-of-global-change-drivers-on-ecological-networks-2503.15107</loc><lastmod>2026-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretability-of-graph-neural-networks-to-assess-effects-of-global-change-drivers-on-ecological-networks-2503.15107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretability-of-graph-neural-networks-to-assess-effects-of-global-change-drivers-on-ecological-networks-2503.15107"/></url>
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<url><loc>https://scifaro.com/en/abs/centroid-decision-forest-2503.19306</loc><lastmod>2026-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/centroid-decision-forest-2503.19306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/centroid-decision-forest-2503.19306"/></url>
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<url><loc>https://scifaro.com/en/abs/interpretable-deep-regression-models-with-interval-censored-failure-time-data-2503.19763</loc><lastmod>2025-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-deep-regression-models-with-interval-censored-failure-time-data-2503.19763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-deep-regression-models-with-interval-censored-failure-time-data-2503.19763"/></url>
<url><loc>https://scifaro.com/en/abs/a-stochastic-gradient-descent-algorithm-with-random-search-directions-2503.19942</loc><lastmod>2025-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-stochastic-gradient-descent-algorithm-with-random-search-directions-2503.19942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-stochastic-gradient-descent-algorithm-with-random-search-directions-2503.19942"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-robustness-of-kernel-ridge-regression-using-the-cauchy-loss-function-2503.20120</loc><lastmod>2025-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-robustness-of-kernel-ridge-regression-using-the-cauchy-loss-function-2503.20120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-robustness-of-kernel-ridge-regression-using-the-cauchy-loss-function-2503.20120"/></url>
<url><loc>https://scifaro.com/en/abs/an-epsilon-delta-accurate-level-set-estimation-with-a-stopping-criterion-2503.20272</loc><lastmod>2025-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-epsilon-delta-accurate-level-set-estimation-with-a-stopping-criterion-2503.20272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-epsilon-delta-accurate-level-set-estimation-with-a-stopping-criterion-2503.20272"/></url>
<url><loc>https://scifaro.com/en/abs/learning-data-driven-uncertainty-set-partitions-for-robust-and-adaptive-energy-forecasting-with-missing-data-2503.20410</loc><lastmod>2025-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-data-driven-uncertainty-set-partitions-for-robust-and-adaptive-energy-forecasting-with-missing-data-2503.20410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-data-driven-uncertainty-set-partitions-for-robust-and-adaptive-energy-forecasting-with-missing-data-2503.20410"/></url>
<url><loc>https://scifaro.com/en/abs/regression-based-estimation-of-causal-effects-in-the-presence-of-selection-bias-and-confounding-2503.20546</loc><lastmod>2025-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regression-based-estimation-of-causal-effects-in-the-presence-of-selection-bias-and-confounding-2503.20546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regression-based-estimation-of-causal-effects-in-the-presence-of-selection-bias-and-confounding-2503.20546"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-via-probabilistic-exchangeable-sequence-modelling-2503.20725</loc><lastmod>2025-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-via-probabilistic-exchangeable-sequence-modelling-2503.20725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-via-probabilistic-exchangeable-sequence-modelling-2503.20725"/></url>
<url><loc>https://scifaro.com/en/abs/fundamental-safety-capability-trade-offs-in-fine-tuning-large-language-models-2503.20807</loc><lastmod>2025-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fundamental-safety-capability-trade-offs-in-fine-tuning-large-language-models-2503.20807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fundamental-safety-capability-trade-offs-in-fine-tuning-large-language-models-2503.20807"/></url>
<url><loc>https://scifaro.com/en/abs/debiasing-kernel-based-generative-models-2503.20825</loc><lastmod>2025-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/debiasing-kernel-based-generative-models-2503.20825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/debiasing-kernel-based-generative-models-2503.20825"/></url>
<url><loc>https://scifaro.com/en/abs/squared-families-searching-beyond-regular-probability-models-2503.21128</loc><lastmod>2025-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/squared-families-searching-beyond-regular-probability-models-2503.21128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/squared-families-searching-beyond-regular-probability-models-2503.21128"/></url>
<url><loc>https://scifaro.com/en/abs/deeprv-accelerating-spatiotemporal-inference-with-pre-trained-neural-priors-2503.21473</loc><lastmod>2026-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeprv-accelerating-spatiotemporal-inference-with-pre-trained-neural-priors-2503.21473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeprv-accelerating-spatiotemporal-inference-with-pre-trained-neural-priors-2503.21473"/></url>
<url><loc>https://scifaro.com/en/abs/constraint-based-causal-discovery-with-tiered-background-knowledge-and-latent-variables-in-single-or-overlapping-datasets-2503.21526</loc><lastmod>2025-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constraint-based-causal-discovery-with-tiered-background-knowledge-and-latent-variables-in-single-or-overlapping-datasets-2503.21526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constraint-based-causal-discovery-with-tiered-background-knowledge-and-latent-variables-in-single-or-overlapping-datasets-2503.21526"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-pseudo-posterior-mechanism-for-differentially-private-machine-learning-2503.21528</loc><lastmod>2025-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-pseudo-posterior-mechanism-for-differentially-private-machine-learning-2503.21528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-pseudo-posterior-mechanism-for-differentially-private-machine-learning-2503.21528"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-functional-neural-networks-2503.21585</loc><lastmod>2025-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-functional-neural-networks-2503.21585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-functional-neural-networks-2503.21585"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-multiple-response-regression-and-learning-of-latent-spaces-2503.21608</loc><lastmod>2025-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-multiple-response-regression-and-learning-of-latent-spaces-2503.21608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-multiple-response-regression-and-learning-of-latent-spaces-2503.21608"/></url>
<url><loc>https://scifaro.com/en/abs/dgsam-domain-generalization-via-individual-sharpness-aware-minimization-2503.23430</loc><lastmod>2025-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dgsam-domain-generalization-via-individual-sharpness-aware-minimization-2503.23430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dgsam-domain-generalization-via-individual-sharpness-aware-minimization-2503.23430"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-stein-variational-gradient-flow-2503.23462</loc><lastmod>2025-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-stein-variational-gradient-flow-2503.23462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-stein-variational-gradient-flow-2503.23462"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-single-index-model-from-anisotropic-data-with-vanilla-stochastic-gradient-descent-2503.23642</loc><lastmod>2025-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-single-index-model-from-anisotropic-data-with-vanilla-stochastic-gradient-descent-2503.23642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-single-index-model-from-anisotropic-data-with-vanilla-stochastic-gradient-descent-2503.23642"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-geometric-learning-with-correlation-based-functional-brain-networks-2503.23653</loc><lastmod>2025-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-geometric-learning-with-correlation-based-functional-brain-networks-2503.23653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-geometric-learning-with-correlation-based-functional-brain-networks-2503.23653"/></url>
<url><loc>https://scifaro.com/en/abs/feature-learning-from-non-gaussian-inputs-the-case-of-independent-component-analysis-in-high-dimensions-2503.23896</loc><lastmod>2025-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-learning-from-non-gaussian-inputs-the-case-of-independent-component-analysis-in-high-dimensions-2503.23896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-learning-from-non-gaussian-inputs-the-case-of-independent-component-analysis-in-high-dimensions-2503.23896"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-localized-density-anomalies-in-multivariate-data-via-coin-flip-statistics-2503.23927</loc><lastmod>2026-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-localized-density-anomalies-in-multivariate-data-via-coin-flip-statistics-2503.23927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-localized-density-anomalies-in-multivariate-data-via-coin-flip-statistics-2503.23927"/></url>
<url><loc>https://scifaro.com/en/abs/the-more-the-merrier-logical-and-multistage-processors-in-credit-scoring-2503.23979</loc><lastmod>2025-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-more-the-merrier-logical-and-multistage-processors-in-credit-scoring-2503.23979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-more-the-merrier-logical-and-multistage-processors-in-credit-scoring-2503.23979"/></url>
<url><loc>https://scifaro.com/en/abs/automl-algorithms-for-online-generalized-additive-model-selection-application-to-electricity-demand-forecasting-2503.24019</loc><lastmod>2025-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automl-algorithms-for-online-generalized-additive-model-selection-application-to-electricity-demand-forecasting-2503.24019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automl-algorithms-for-online-generalized-additive-model-selection-application-to-electricity-demand-forecasting-2503.24019"/></url>
<url><loc>https://scifaro.com/en/abs/solving-the-best-subset-selection-problem-via-suboptimal-algorithms-2503.24300</loc><lastmod>2025-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-the-best-subset-selection-problem-via-suboptimal-algorithms-2503.24300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-the-best-subset-selection-problem-via-suboptimal-algorithms-2503.24300"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-l-0-penalized-least-square-2504.00722</loc><lastmod>2025-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-l-0-penalized-least-square-2504.00722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-l-0-penalized-least-square-2504.00722"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-transfer-learning-for-community-detection-using-locally-distributed-multiple-networks-2504.00890</loc><lastmod>2026-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-transfer-learning-for-community-detection-using-locally-distributed-multiple-networks-2504.00890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-transfer-learning-for-community-detection-using-locally-distributed-multiple-networks-2504.00890"/></url>
<url><loc>https://scifaro.com/en/abs/fair-sufficient-representation-learning-2504.01030</loc><lastmod>2025-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-sufficient-representation-learning-2504.01030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-sufficient-representation-learning-2504.01030"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-unbounded-density-ratios-applications-in-error-control-under-covariate-shift-2504.01031</loc><lastmod>2025-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-unbounded-density-ratios-applications-in-error-control-under-covariate-shift-2504.01031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-unbounded-density-ratios-applications-in-error-control-under-covariate-shift-2504.01031"/></url>
<url><loc>https://scifaro.com/en/abs/denoising-guarantees-for-optimized-sampling-schemes-in-compressed-sensing-2504.01046</loc><lastmod>2025-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/denoising-guarantees-for-optimized-sampling-schemes-in-compressed-sensing-2504.01046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/denoising-guarantees-for-optimized-sampling-schemes-in-compressed-sensing-2504.01046"/></url>
<url><loc>https://scifaro.com/en/abs/density-estimation-via-mixture-discrepancy-and-moments-2504.01570</loc><lastmod>2025-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/density-estimation-via-mixture-discrepancy-and-moments-2504.01570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/density-estimation-via-mixture-discrepancy-and-moments-2504.01570"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-gaussian-neural-processes-2504.01650</loc><lastmod>2025-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-gaussian-neural-processes-2504.01650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-gaussian-neural-processes-2504.01650"/></url>
<url><loc>https://scifaro.com/en/abs/kd-2-m-a-unifying-framework-for-feature-knowledge-distillation-2504.01757</loc><lastmod>2025-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kd-2-m-a-unifying-framework-for-feature-knowledge-distillation-2504.01757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kd-2-m-a-unifying-framework-for-feature-knowledge-distillation-2504.01757"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-assortment-selection-and-pricing-with-censored-preference-feedback-2504.02324</loc><lastmod>2025-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-assortment-selection-and-pricing-with-censored-preference-feedback-2504.02324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-assortment-selection-and-pricing-with-censored-preference-feedback-2504.02324"/></url>
<url><loc>https://scifaro.com/en/abs/analytical-discovery-of-manifold-with-machine-learning-2504.02511</loc><lastmod>2025-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analytical-discovery-of-manifold-with-machine-learning-2504.02511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analytical-discovery-of-manifold-with-machine-learning-2504.02511"/></url>
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<url><loc>https://scifaro.com/en/abs/confevisurrogate-a-conformalized-evidential-surrogate-model-for-uncertainty-quantification-2504.02919</loc><lastmod>2025-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confevisurrogate-a-conformalized-evidential-surrogate-model-for-uncertainty-quantification-2504.02919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confevisurrogate-a-conformalized-evidential-surrogate-model-for-uncertainty-quantification-2504.02919"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-ridge-regression-with-random-features-for-non-identically-distributed-data-with-a-variance-profile-2504.03035</loc><lastmod>2026-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-ridge-regression-with-random-features-for-non-identically-distributed-data-with-a-variance-profile-2504.03035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-ridge-regression-with-random-features-for-non-identically-distributed-data-with-a-variance-profile-2504.03035"/></url>
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<url><loc>https://scifaro.com/en/abs/accelerating-particle-based-energetic-variational-inference-2504.03158</loc><lastmod>2026-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-particle-based-energetic-variational-inference-2504.03158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-particle-based-energetic-variational-inference-2504.03158"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-of-robustness-measures-under-input-uncertainty-a-randomized-gaussian-process-upper-confidence-bound-approach-2504.03172</loc><lastmod>2025-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-of-robustness-measures-under-input-uncertainty-a-randomized-gaussian-process-upper-confidence-bound-approach-2504.03172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-of-robustness-measures-under-input-uncertainty-a-randomized-gaussian-process-upper-confidence-bound-approach-2504.03172"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-classification-of-interval-valued-time-series-2504.03318</loc><lastmod>2025-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-classification-of-interval-valued-time-series-2504.03318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-classification-of-interval-valued-time-series-2504.03318"/></url>
<url><loc>https://scifaro.com/en/abs/block-toeplitz-sparse-precision-matrix-estimation-for-large-scale-interval-valued-time-series-forecasting-2504.03322</loc><lastmod>2025-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/block-toeplitz-sparse-precision-matrix-estimation-for-large-scale-interval-valued-time-series-forecasting-2504.03322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/block-toeplitz-sparse-precision-matrix-estimation-for-large-scale-interval-valued-time-series-forecasting-2504.03322"/></url>
<url><loc>https://scifaro.com/en/abs/conditioning-diffusions-using-malliavin-calculus-2504.03461</loc><lastmod>2025-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditioning-diffusions-using-malliavin-calculus-2504.03461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditioning-diffusions-using-malliavin-calculus-2504.03461"/></url>
<url><loc>https://scifaro.com/en/abs/operator-learning-a-statistical-perspective-2504.03503</loc><lastmod>2025-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/operator-learning-a-statistical-perspective-2504.03503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/operator-learning-a-statistical-perspective-2504.03503"/></url>
<url><loc>https://scifaro.com/en/abs/robust-reinforcement-learning-from-human-feedback-for-large-language-models-fine-tuning-2504.03784</loc><lastmod>2026-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-reinforcement-learning-from-human-feedback-for-large-language-models-fine-tuning-2504.03784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-reinforcement-learning-from-human-feedback-for-large-language-models-fine-tuning-2504.03784"/></url>
<url><loc>https://scifaro.com/en/abs/multi-variable-batch-bayesian-optimization-in-materials-research-synthetic-data-analysis-of-noise-sensitivity-and-problem-landscape-effects-2504.03943</loc><lastmod>2026-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-variable-batch-bayesian-optimization-in-materials-research-synthetic-data-analysis-of-noise-sensitivity-and-problem-landscape-effects-2504.03943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-variable-batch-bayesian-optimization-in-materials-research-synthetic-data-analysis-of-noise-sensitivity-and-problem-landscape-effects-2504.03943"/></url>
<url><loc>https://scifaro.com/en/abs/spatially-heterogeneous-causal-bayesian-networks-for-seismic-multi-hazard-estimation-a-variational-approach-with-gaussian-processes-and-normalizing-flows-2504.04013</loc><lastmod>2025-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatially-heterogeneous-causal-bayesian-networks-for-seismic-multi-hazard-estimation-a-variational-approach-with-gaussian-processes-and-normalizing-flows-2504.04013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatially-heterogeneous-causal-bayesian-networks-for-seismic-multi-hazard-estimation-a-variational-approach-with-gaussian-processes-and-normalizing-flows-2504.04013"/></url>
<url><loc>https://scifaro.com/en/abs/computational-efficient-and-minimax-optimal-nonignorable-matrix-completion-2504.04016</loc><lastmod>2025-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computational-efficient-and-minimax-optimal-nonignorable-matrix-completion-2504.04016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computational-efficient-and-minimax-optimal-nonignorable-matrix-completion-2504.04016"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-optimal-convergence-of-gradient-descent-in-logistic-regression-via-large-and-adaptive-stepsizes-2504.04105</loc><lastmod>2025-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-optimal-convergence-of-gradient-descent-in-logistic-regression-via-large-and-adaptive-stepsizes-2504.04105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-optimal-convergence-of-gradient-descent-in-logistic-regression-via-large-and-adaptive-stepsizes-2504.04105"/></url>
<url><loc>https://scifaro.com/en/abs/randomised-postiterations-for-calibrated-bayescg-2504.04247</loc><lastmod>2025-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomised-postiterations-for-calibrated-bayescg-2504.04247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomised-postiterations-for-calibrated-bayescg-2504.04247"/></url>
<url><loc>https://scifaro.com/en/abs/cramer-rao-bounds-for-laplacian-matrix-estimation-2504.04576</loc><lastmod>2025-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cramer-rao-bounds-for-laplacian-matrix-estimation-2504.04576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cramer-rao-bounds-for-laplacian-matrix-estimation-2504.04576"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-approximate-algorithms-for-optimal-transport-linear-models-2504.04609</loc><lastmod>2025-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-approximate-algorithms-for-optimal-transport-linear-models-2504.04609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-approximate-algorithms-for-optimal-transport-linear-models-2504.04609"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-algorithm-for-personalized-federated-learning-knowledge-distillation-with-weighted-combination-loss-2504.04642</loc><lastmod>2025-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-algorithm-for-personalized-federated-learning-knowledge-distillation-with-weighted-combination-loss-2504.04642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-algorithm-for-personalized-federated-learning-knowledge-distillation-with-weighted-combination-loss-2504.04642"/></url>
<url><loc>https://scifaro.com/en/abs/interval-valued-time-series-classification-using-d-k-distance-2504.04667</loc><lastmod>2025-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interval-valued-time-series-classification-using-d-k-distance-2504.04667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interval-valued-time-series-classification-using-d-k-distance-2504.04667"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-optimization-for-transfer-learning-a-l0-regularized-framework-for-multi-source-domain-adaptation-2504.04812</loc><lastmod>2025-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-optimization-for-transfer-learning-a-l0-regularized-framework-for-multi-source-domain-adaptation-2504.04812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-optimization-for-transfer-learning-a-l0-regularized-framework-for-multi-source-domain-adaptation-2504.04812"/></url>
<url><loc>https://scifaro.com/en/abs/survsurf-a-partially-monotonic-neural-network-for-first-hitting-time-prediction-of-intermittently-observed-discrete-and-continuous-sequential-events-2504.04997</loc><lastmod>2025-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survsurf-a-partially-monotonic-neural-network-for-first-hitting-time-prediction-of-intermittently-observed-discrete-and-continuous-sequential-events-2504.04997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survsurf-a-partially-monotonic-neural-network-for-first-hitting-time-prediction-of-intermittently-observed-discrete-and-continuous-sequential-events-2504.04997"/></url>
<url><loc>https://scifaro.com/en/abs/stacking-variational-bayesian-monte-carlo-2504.05004</loc><lastmod>2025-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stacking-variational-bayesian-monte-carlo-2504.05004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stacking-variational-bayesian-monte-carlo-2504.05004"/></url>
<url><loc>https://scifaro.com/en/abs/ddpm-score-matching-and-distribution-learning-2504.05161</loc><lastmod>2025-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ddpm-score-matching-and-distribution-learning-2504.05161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ddpm-score-matching-and-distribution-learning-2504.05161"/></url>
<url><loc>https://scifaro.com/en/abs/the-neural-pruning-law-hypothesis-2504.05349</loc><lastmod>2025-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-neural-pruning-law-hypothesis-2504.05349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-neural-pruning-law-hypothesis-2504.05349"/></url>
<url><loc>https://scifaro.com/en/abs/survey-on-algorithms-for-multi-index-models-2504.05426</loc><lastmod>2025-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survey-on-algorithms-for-multi-index-models-2504.05426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survey-on-algorithms-for-multi-index-models-2504.05426"/></url>
<url><loc>https://scifaro.com/en/abs/effective-method-for-inverse-ising-problem-under-missing-observations-in-restricted-boltzmann-machines-2504.05643</loc><lastmod>2025-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-method-for-inverse-ising-problem-under-missing-observations-in-restricted-boltzmann-machines-2504.05643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-method-for-inverse-ising-problem-under-missing-observations-in-restricted-boltzmann-machines-2504.05643"/></url>
<url><loc>https://scifaro.com/en/abs/actuarial-learning-for-pension-fund-mortality-forecasting-2504.05881</loc><lastmod>2025-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/actuarial-learning-for-pension-fund-mortality-forecasting-2504.05881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/actuarial-learning-for-pension-fund-mortality-forecasting-2504.05881"/></url>
<url><loc>https://scifaro.com/en/abs/matched-topological-subspace-detector-2504.05892</loc><lastmod>2025-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matched-topological-subspace-detector-2504.05892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matched-topological-subspace-detector-2504.05892"/></url>
<url><loc>https://scifaro.com/en/abs/deep-spatio-temporal-point-processes-advances-and-new-directions-2504.06364</loc><lastmod>2025-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-spatio-temporal-point-processes-advances-and-new-directions-2504.06364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-spatio-temporal-point-processes-advances-and-new-directions-2504.06364"/></url>
<url><loc>https://scifaro.com/en/abs/deep-fair-learning-a-unified-framework-for-fine-tuning-representations-with-sufficient-networks-2504.06470</loc><lastmod>2025-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-fair-learning-a-unified-framework-for-fine-tuning-representations-with-sufficient-networks-2504.06470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-fair-learning-a-unified-framework-for-fine-tuning-representations-with-sufficient-networks-2504.06470"/></url>
<url><loc>https://scifaro.com/en/abs/sparsified-learning-for-high-dimensional-heavy-tailed-locally-stationary-time-series-concentration-and-oracle-inequalities-2504.06477</loc><lastmod>2026-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsified-learning-for-high-dimensional-heavy-tailed-locally-stationary-time-series-concentration-and-oracle-inequalities-2504.06477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsified-learning-for-high-dimensional-heavy-tailed-locally-stationary-time-series-concentration-and-oracle-inequalities-2504.06477"/></url>
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<url><loc>https://scifaro.com/en/abs/gradient-based-sample-selection-for-faster-bayesian-optimization-2504.07742</loc><lastmod>2025-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-based-sample-selection-for-faster-bayesian-optimization-2504.07742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-based-sample-selection-for-faster-bayesian-optimization-2504.07742"/></url>
<url><loc>https://scifaro.com/en/abs/performance-of-rank-one-tensor-approximation-on-incomplete-data-2504.07818</loc><lastmod>2025-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-of-rank-one-tensor-approximation-on-incomplete-data-2504.07818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-of-rank-one-tensor-approximation-on-incomplete-data-2504.07818"/></url>
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<url><loc>https://scifaro.com/en/abs/a-piecewise-lyapunov-analysis-of-sub-quadratic-sgd-applications-to-robust-and-quantile-regression-2504.08178</loc><lastmod>2025-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-piecewise-lyapunov-analysis-of-sub-quadratic-sgd-applications-to-robust-and-quantile-regression-2504.08178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-piecewise-lyapunov-analysis-of-sub-quadratic-sgd-applications-to-robust-and-quantile-regression-2504.08178"/></url>
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<url><loc>https://scifaro.com/en/abs/landmark-based-node-representations-for-shortest-path-distance-approximations-in-random-graphs-2504.08216</loc><lastmod>2025-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/landmark-based-node-representations-for-shortest-path-distance-approximations-in-random-graphs-2504.08216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/landmark-based-node-representations-for-shortest-path-distance-approximations-in-random-graphs-2504.08216"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-robustly-learns-the-intrinsic-dimension-of-data-in-training-convolutional-neural-networks-2504.08628</loc><lastmod>2025-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-robustly-learns-the-intrinsic-dimension-of-data-in-training-convolutional-neural-networks-2504.08628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-robustly-learns-the-intrinsic-dimension-of-data-in-training-convolutional-neural-networks-2504.08628"/></url>
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<url><loc>https://scifaro.com/en/abs/double-machine-learning-for-causal-inference-under-shared-state-interference-2504.08836</loc><lastmod>2025-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/double-machine-learning-for-causal-inference-under-shared-state-interference-2504.08836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/double-machine-learning-for-causal-inference-under-shared-state-interference-2504.08836"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-evaluation-of-samplers-on-multi-modal-targets-2504.08916</loc><lastmod>2025-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-evaluation-of-samplers-on-multi-modal-targets-2504.08916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-evaluation-of-samplers-on-multi-modal-targets-2504.08916"/></url>
<url><loc>https://scifaro.com/en/abs/an-incremental-non-linear-manifold-approximation-method-2504.09068</loc><lastmod>2025-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-incremental-non-linear-manifold-approximation-method-2504.09068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-incremental-non-linear-manifold-approximation-method-2504.09068"/></url>
<url><loc>https://scifaro.com/en/abs/dose-finding-design-based-on-level-set-estimation-in-phase-i-cancer-clinical-trials-2504.09157</loc><lastmod>2025-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dose-finding-design-based-on-level-set-estimation-in-phase-i-cancer-clinical-trials-2504.09157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dose-finding-design-based-on-level-set-estimation-in-phase-i-cancer-clinical-trials-2504.09157"/></url>
<url><loc>https://scifaro.com/en/abs/no-regret-generative-modeling-via-parabolic-monge-amp-ere-pde-2504.09279</loc><lastmod>2026-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-regret-generative-modeling-via-parabolic-monge-amp-ere-pde-2504.09279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-regret-generative-modeling-via-parabolic-monge-amp-ere-pde-2504.09279"/></url>
<url><loc>https://scifaro.com/en/abs/inference-for-deep-neural-network-estimators-in-generalized-nonparametric-models-2504.09347</loc><lastmod>2026-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-for-deep-neural-network-estimators-in-generalized-nonparametric-models-2504.09347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-for-deep-neural-network-estimators-in-generalized-nonparametric-models-2504.09347"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-sparse-phase-retrieval-via-a-quasi-bayesian-approach-2504.09509</loc><lastmod>2025-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-sparse-phase-retrieval-via-a-quasi-bayesian-approach-2504.09509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-sparse-phase-retrieval-via-a-quasi-bayesian-approach-2504.09509"/></url>
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<url><loc>https://scifaro.com/en/abs/adaptive-sensor-steering-strategy-using-deep-reinforcement-learning-for-dynamic-data-acquisition-in-digital-twins-2504.10248</loc><lastmod>2025-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-sensor-steering-strategy-using-deep-reinforcement-learning-for-dynamic-data-acquisition-in-digital-twins-2504.10248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-sensor-steering-strategy-using-deep-reinforcement-learning-for-dynamic-data-acquisition-in-digital-twins-2504.10248"/></url>
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<url><loc>https://scifaro.com/en/abs/differentially-private-geodesic-regression-2504.11304</loc><lastmod>2026-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-geodesic-regression-2504.11304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-geodesic-regression-2504.11304"/></url>
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<url><loc>https://scifaro.com/en/abs/towards-interpretable-deep-generative-models-via-causal-representation-learning-2504.11609</loc><lastmod>2026-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-interpretable-deep-generative-models-via-causal-representation-learning-2504.11609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-interpretable-deep-generative-models-via-causal-representation-learning-2504.11609"/></url>
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<url><loc>https://scifaro.com/en/abs/approximation-bounds-for-transformer-networks-with-application-to-regression-2504.12175</loc><lastmod>2025-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-bounds-for-transformer-networks-with-application-to-regression-2504.12175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-bounds-for-transformer-networks-with-application-to-regression-2504.12175"/></url>
<url><loc>https://scifaro.com/en/abs/leave-one-out-stable-conformal-prediction-2504.12189</loc><lastmod>2025-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leave-one-out-stable-conformal-prediction-2504.12189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leave-one-out-stable-conformal-prediction-2504.12189"/></url>
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<url><loc>https://scifaro.com/en/abs/robust-and-scalable-variational-bayes-2504.12528</loc><lastmod>2025-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-scalable-variational-bayes-2504.12528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-scalable-variational-bayes-2504.12528"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-algorithms-under-covariate-shift-2504.12625</loc><lastmod>2025-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-algorithms-under-covariate-shift-2504.12625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-algorithms-under-covariate-shift-2504.12625"/></url>
<url><loc>https://scifaro.com/en/abs/when-do-random-forests-work-2504.12860</loc><lastmod>2025-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-do-random-forests-work-2504.12860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-do-random-forests-work-2504.12860"/></url>
<url><loc>https://scifaro.com/en/abs/propagation-of-chaos-in-one-hidden-layer-neural-networks-beyond-logarithmic-time-2504.13110</loc><lastmod>2025-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/propagation-of-chaos-in-one-hidden-layer-neural-networks-beyond-logarithmic-time-2504.13110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/propagation-of-chaos-in-one-hidden-layer-neural-networks-beyond-logarithmic-time-2504.13110"/></url>
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<url><loc>https://scifaro.com/en/abs/likelihood-free-variational-autoencoders-2504.17622</loc><lastmod>2025-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-free-variational-autoencoders-2504.17622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-free-variational-autoencoders-2504.17622"/></url>
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